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主办:中国优选法统筹法与经济数学研究会
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Table of Content

    25 October 2025, Volume 33 Issue 10 Previous Issue   
    The Marketization Level of Data Factors and Corporation Performance :Evidence from China
    Rongda Chen, Chen Wang, Chenxin Pan, Cheng Liu
    2025, 33 (10):  1-11.  doi: 10.16381/j.cnki.issn1003-207x.2024.1707
    Abstract ( 131 )   HTML ( 0 )   PDF (688KB) ( 107 )   Save

    In factor marketization process of China, advancing the market-oriented allocation of data factors is pivotal for enhancing their economic value. Systematically measuring regional data marketization levels is of significant importance, yet research in this area remains limited. An index is developed to measure this level, based on a theoretical framework of analyzing the definition and attributes of data factors. This index is constructed from three aspects: supply, development, and application (SCA) of data factor. The level across 30 provinces in China from 2014 to 2022 is measured, and further its impact on corporate performance within regions is examined, along with the underlying mechanisms. Empirical results show that the marketization of data factors significantly enhances corporate performance. Additionally, the analysis of mechanisms reveals that enhancing both governance structure and external supportive environment are important pathways through which the marketization of data factors influences corporate performance. However, this positive effect is less pronounced for corporations located in non-eastern regions of China and for state-owned enterprises, compared to their counterparts in the eastern areas and non-state-owned firms. Also, this effect exhibits significant industry-specific variations.

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    The Impact ofMore Words Than Deedson Environmental Responsibility on Stock Price Crash Risk: The Mediation Effect of Investor Sentiment
    Wanhai You, Senjie Chen, Jianyong Chen, Yinghua Ren
    2025, 33 (10):  12-23.  doi: 10.16381/j.cnki.issn1003-207x.2023.1361
    Abstract ( 80 )   HTML ( 0 )   PDF (835KB) ( 66 )   Save

    As environmental issues become an important global issue, people are increasingly concerned about environmental issues, requiring enterprises to assume more social responsibilities in environmental protection. Some enterprises exhibit “more words than deeds” behavior when fulfilling their environmental responsibilities, which seriously undermines investor confidence and produces irrational emotions, potentially triggering stock market volatility and even leading to crash risks. Therefore, from the investor sentiment perspective, exploring the impact path of “more words than deeds” environmental responsibility performance on stock price crash risk is significant. Listed companies in China's Shanghai and Shenzhen A-share markets are selected as research samples. Integrating text analysis technology with panel regression models and mediation test models systematically investigates the impact of “more words than deeds” environmental responsibility performance on stock price crash risk and the mediating role of investor sentiment. The results show that the “more words than deeds” performance of corporate environmental responsibility significantly exacerbates stock price crash risk, which is more evident with the rising investor sentiment. The environmental responsibility of enterprises with “more words than deeds” has a significant “crash effect” in main board and non-major regulatory enterprises. The indirect effect of investor sentiment is significantly positive in non-main board and non-major regulatory enterprises. There are essential enlightenment and reference significance for promoting the construction of ecological civilization and stabilizing the capital market in this study.

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    A DKELM-based Selective Deep-ensemble Model for Container Throughput Forecasting
    Yuxuan Kou, Sihan Li, Dunhu Liu, Ruoyi Li, Jing Huang, Jin Xiao
    2025, 33 (10):  24-35.  doi: 10.16381/j.cnki.issn1003-207x.2023.0902
    Abstract ( 51 )   HTML ( 0 )   PDF (2004KB) ( 41 )   Save

    With the rapid development of international trade and the continuous improvement of port containerization level, its throughput has become a key indicator to measure a port's global commercial management and industrial development. Therefore, it is very important to construct an effective time series forecasting model to accurately predict port container throughput. A DKELM-based selective deep-ensemble model is proposed for container throughput forecasting (DSDE). Firstly, the original time series is decomposed by the optimized variational modal decomposition method, and several intrinsic mode functions are obtained. Then, considering that most of the decomposed intrinsic functions are highly nonlinear, DKELM of different kernel functions is constructed as the benchmark model for prediction. Further, the new enhanced multilayered iteration algorithm of the group method of data handling (eMIA-GMDH) is introduced to carry out the selective deep ensemble on each intrinsic mode function. Finally, the final forecasting result is obtained by integrating all the forecasting results. To verify the effect of the forecasting model constructed in this paper, four evaluation indexes are introduced to carry out empirical analysis on the monthly container throughput data set of six ports. Through experiments, it can be concluded that the performance of DSDE is better than that of the three hybrid models based on a single model and the hybrid model based on the weighted average ensemble

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    How do Channel Diversity and Cross-channel Conflict Affect the Effectiveness of Channel Governance Mechanisms?
    Xingyu Zhao, Guijun Zhuang
    2025, 33 (10):  36-46.  doi: 10.16381/j.cnki.issn1003-207x.2022.1668
    Abstract ( 51 )   HTML ( 0 )   PDF (851KB) ( 23 )   Save

    The development of Internet technology and e-commerce provide strong support for enterprises to adopt multi-channel selling products. Using different types of channels to sell products has become an important way for enterprise to build competitiveness, but it also poses challenges to manage marketing channel. The implementation of multi-channel marketing not only change the structure of a firm’s channel portfolio, but also has impacts on the inter-organizational relationships and interactive behaviors between firms in a particular channel. Prior literatures on inter-organizational relationships have devoted much attention to channel governance mechanisms, but the effectiveness of channel governance mechanisms in the context of multiple channels is under-researched.To fill the gap in existing research, based on open system theory and the literatures of multi-channel marketing, the effectiveness of channel governance mechanisms in the context of multiple channels is explored by examining the moderating role of channel diversity and cross-channel conflict on the relationship between contractual governance, relational governance and channel opportunism. Manufacturer is taken as the object and the data is obtained by a questionnaire survey. Through multiple regression analysis of data collected from 525 manufacturing firms, the results show that the relationship between channel governance mechanisms and opportunism depends on several multi-channel level contingencies. Specifically, the manufacturer’s channel diversity weakens the effect of contractual governance on opportunism, whereas cross-channel conflict strengthens the relationship between relational governance and opportunism; channel diversity enhances the effects of relational governance on opportunism, but cross-channel conflict weakens the relationship between relational governance and opportunism.The results of this study reveal the effectiveness of channel governance mechanisms in the multi-channel context, not only enrich the study of channel governance, but also have significant implications for future studies. In practice, it provides valuable guidance for the effective implementation of channel governance mechanisms in the context of multiple channels in this paper.

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    The Principal-agent Problem and Financing Policies under the Public Health Emergencies
    Pengfei Luo, Yanming Yao, Yingxian Tan
    2025, 33 (10):  47-56.  doi: 10.16381/j.cnki.issn1003-207x.2022.2120
    Abstract ( 42 )   HTML ( 0 )   PDF (2593KB) ( 20 )   Save

    Public health emergencies is a new era proposition of the economic development. The epidemic affects the firms’ financial decisions, which has been widely concerned by government, firms, and scholars. The outbreak of COVID-19 led to a sharp rise in employee unemployment, causing huge losses to the economy. According to the National Bureau of Statistics, the unemployment rate reached 6.2%, and GDP in the first quarter fell by 6.8% in 2020. Faced with the impact of epdidemic, reasonable business decisions are very important. Thus, stochastic SIS model is incorporated into the continuous-time principle-agent model and the impact of epidemic on manager’s compensation and financing decisions is studied.The negative impact of the epidemic on the firm value is considered. Specifically, it is assumed that the shareholders hire agents to take charge of the business decisions of the firm. The profits after interest and tax, denoted by dXt, evolves as:dXt=μIt+atdt+σItdZt, where denote the state variable, infected population by It. An increase in the infected population It leads to a decrease in the growth rate μIt and an increase in corporate volatility σIt. at represents the effort level of agents, μIt at represents the growth rate of cash flow, σIt denotes the volatility of income and Zt is a standard Brownian motion. Besides we assume that the infected population It is given by dIt=[β(1-It)-η]Itdt+σtIt(1-It)dZt, where β represents an effective transmission rate and η represents the rate at which infected individuals become cured. The numerical results show that: first, the relationship between optimal coupon and the transmission rate is negative; the relationship between optimal coupon and the uncertainty of the infected population is positive. Second, the relationship between agency cost and the transmission rate is positive, while the relationship between agency cost and the uncertainty of infected population is negative. Last, we also find that the epidemic reduces the optimal effort and exacerbates the debt overhang problem.

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    Research on the Response Planning of Supply Chain to Cope with Supply Disruption under the Impact of Emergencies
    Yi Jing, Wei Liu, Qinqin Liu, Fengjiao Cheng, Huarong Zhang
    2025, 33 (10):  57-66.  doi: 10.16381/j.cnki.issn1003-207x.2023.1173
    Abstract ( 59 )   HTML ( 0 )   PDF (715KB) ( 43 )   Save

    With the continuous upgrading of economic globalization and the further deepening of industrial division, supply chain networks have become more and more large and complex. Moreover, under the influence of concepts such as “Just in Time”, the resource configuration of the traditional supply chain follows the internal logic of prioritizing efficiency, which brings huge benefits to enterprises, but meanwhile increases the vulnerability of enterprises in the face of risks. If any member enterprise in the supply chain suffers from the impact of an emergency, resulting in its operation stagnation or even paralysis, the impact will quickly spread and diffuse to the entire network, bringing immeasurable losses to other member enterprises.In order to solve the issue of supply disruption in a three-level supply chain consisting of multiple suppliers, one manufacturer and multiple distributors, a comprehensive coping strategy is proposed based on reserving vertical strategic inventory, signing emergency options, expanding procurement urgently, seeking backup supplier and changing product design from the perspectives of pre-prevention and post-remediation. Based on this, three different models are constructed. The first model is the conventional operational planning model of the supply chain without supply disruption. The second model is the response planning model of the supply chain for coping with supply disruption, the objective of which is to maximize the manufacturer’s sales profit in the disruption duration. In the third model, the objective of minimizing the deferred delivery rate of orders is added. Then, according to the structural characteristics of these models, the corresponding solving processes are designed based on ILOG CPLEX and augmented ε-constraint method.The simulation results show that when supply disruption occurs, the response planning method of the supply chain designed in this paper can effectively help the manufacturer to stop the loss and maintain the production operation at the normal level as far as possible; every single coping strategy is only effective in tackling short-term supply disruption, but for long-term disruption, it is necessary to adopt different combinations of multiple strategies at different stages of the disruption duration; although the start-up cost of the product design change strategy may be high, manufacturer will have to use this strategy if the disruption duration continues to lengthen or the enterprise wants to reduce the deferred delivery rate of orders.

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    Periodic Maintenance Model of Parallel Critical System for Major Equipment to Prevent the Failure During the Operation Process
    Qin Zhang, Peng Xu, Zhigeng Fang, Sifeng Liu
    2025, 33 (10):  67-75.  doi: 10.16381/j.cnki.issn1003-207x.2023.0245
    Abstract ( 39 )   HTML ( 0 )   PDF (1204KB) ( 26 )   Save

    Most of the preventive maintenance researches just focus on the whole life the systems but ignore the operation process. For some major equipment, they can not be always in working condition and might be shut down in most time. Therefore, the high reliability in the whole life dose not mean that the systems have high reliability during the operation process. Nowadays, some scholas have integrated the operation duration into the preventive maintenance models and proved that if the operation duration is considered, the maintenance policies can be more effective to guarantee high reliability for the systems. However, the related works just considered the one-unit system. Then, in order to prevent failure of parallel critical system when the major equipment is operating, the operation duration is considered into the present model, and a periodic maintenance model of parallel critical system for major equipment is proposed to prevent the failure during the operation process. Firstly, a periodic maintenance model of parallel critical system for major equipment with operation duration is formulated. Then, in order to balance the trade-off between the cost and maintainability, the periodic maintenance optimized models of parallel critical system for major equipment with scheduled replacement principle are formulated, according to replacement first and replacement last. Via the numerical examples, the optimum numbers of the units would be underestimated if the operation duration is not considered. In reliability theory, the smaller numbers of the units of the parallel systems would lead to the lower reliability. It verifies that the proposed models can be more effective to guarantee the high reliability. Finally, the suggested models are illustrated in maintaining the electrical system of a large ship based on the assumed data, which presents the analysis process of optimal polices and provide the decision-makers with the suggestions when they study the similar problems.

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    Production/Inventory Competition Between Firms with Fixed-Proportions Co-production Systems and Aggregate Demands
    Shuang He, Liang Zhao, Jian Zhang, Lin Li
    2025, 33 (10):  76-85.  doi: 10.16381/j.cnki.issn1003-207x.2022.2442
    Abstract ( 32 )   HTML ( 0 )   PDF (720KB) ( 13 )   Save

    The fixed-proportion co-production system (FPCS), which produces two products in fixed proportions by processing a raw material, is widely observed in oil refining, agricultural product processing, chemical industry and so on. In practice, many manufacturers with FPCS are face the challenging problem of mismatches between the fixed-proportion yields and the independent uncertain demands for different petroleum products. In this paper, the production/inventory game of two manufacturers with FPCS is studied. The unmet demand of one manufacturer’s product can be met by the other manufacturer’s leftover stock of the same product, if available, and is lost otherwise. The manufacturers compete for the substitute demands by choosing their own purchase/processing quantities.The problem is formuated as a multi-product multi-period game in which the aggregate demands and the market shares for the two manufacturers’ products are uncertain and independent. It is shown that the production/inventory game is submodular and the response functions are contraction maps, so the existence of a unique Nash equilibrium is guaranteed. It is found that the best response function is strictly decreasing in the rival’s decisions and decreasing in the initial inventory levels of the two products. It is shown that the produce-up-to policy is the equilibrium policy. The impact of competition is examined by showing the equilibrium processing quantity and payoffs are increasing with substitution rates. Finally, we show that our work can be extended to the infinite-period case. The numerical studies are conducted to show the value of our model, and the impacts of some parameters on the equilibrium policies and the players’ payoffs. The managerial insights is also generated from the research findings:(1) Considering the influence of a fixed output ratio, in each period, a high initial inventory level of a certain co-product will put the manufacturer at a disadvantage in the competition in the markets of other co-products. A high initial inventory level of a certain co-product held by the competitor means that the manufacturer can obtain a larger share in the markets of other co-products.(2) An increase in the substitution rate of a certain co-product will lead to an increase in the total quantity of products in the markets of other co-products and a decrease in the substitution demand due to stock-outs, thus reducing the intensity of competition.(3) The manufacturer’s equilibrium processing quantity decreases as the initial inventory levels of its own and competitor’s co-products increase. The traditional produce-up-to strategy is not applicable in a competitive setting. The improved equilibrium strategy in the form of produce-up-to depends on the beginning inventory levels of various co-products of both the competitor and the manufacturers itself.These results have important implications for the competing strategies of the manufacturers with FPCS.Compared with the existing literature, we make the following contributions:(1) the inventory competition games between two manufacturers are studied for the multi-period (finite and infinite) cases, under the co-production system;(2) The concavity and submodularity of the payoff functions, and the existence and uniqueness of the equilibria of the games are shown;(3) For the multi-period (finite, infinite) cases, it is shown that the Nash equilibrium policies have a simple structure (the produce-up-to policy).

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    A Multi-period Multi-compartment Vehicle Routing Problem for Sorted-waste Collection with Timeliness
    Jianhua Xiao, Wenxue Zhang, Yuya Pan, Jiuhong Xiao, Yunyun Niu
    2025, 33 (10):  86-97.  doi: 10.16381/j.cnki.issn1003-207x.2023.0050
    Abstract ( 34 )   HTML ( 0 )   PDF (1468KB) ( 18 )   Save

    With the acceleration of urbanization and the enhancement of material living standards, abundant human activities have generated massive urban domestic waste, which has brought severe challenges and threats to sustainable social development and human health. Consequently, many municipal governments in China have successively promulgated policies to promote the implementation of waste sorting. Especially, sorted-waste collection, as an indispensable part of waste sorting, has attracted more attention from the academic community over recent years.In this paper, a novel multi-period sorted-waste collection routing optimization problem for multi-compartment vehicles (MPMCVRP) is proposed, with the objective of minimizing cost. Specially, the MPMCVRP takes into account the advantages of heterogeneous fleets and the difference in storage times between distinct wastes due to their unique properties, thereby making the route planning more realistic. To solve the proposed model, an extended two-stage adaptive large neighborhood search algorithm (EALNS) is developed. In the EALNS, a new period similarity operator is designed to adjust the waste collection period, and a new joint collection insertion operator is presented to optimize the within-period multi-compartment vehicle collection path.To confirm the effectiveness of the EALNS, it is compared with CPLEX on small-scale benchmarks, followed by comparison with the classical heuristic algorithms on medium- and large-scale benchmarks. Furthermore, a series of comparison experiments is implemented to demonstrate the significance of the MPMCVRP from the perspective of employing multi-compartment vehicles and multi-period joint planning. Finally, the proposed MPMCVRP and EALNS are used in a real case to confirm their practicability. In summary, a good foundation for further research is provided.

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    Research on Value-Based Healthcare Payment Mechanisms Considering Self-Health Management of Chronic Disease Patients
    Yixin Liang, Xuejie Ren, lindu Zhao
    2025, 33 (10):  98-111.  doi: 10.16381/j.cnki.issn1003-207x.2024.0017
    Abstract ( 41 )   HTML ( 0 )   PDF (1966KB) ( 18 )   Save

    Guided by the “Healthy China” strategy, establishing a healthcare payment framework based on health value holds paramount significance for fostering collaboration between healthcare providers and patients, thereby comprehensively enhancing the quality of healthcare services. It focuses on the chronic disease management process in this article where patients play a dual role as both “patients” and “healthcare provider's assistants.” It thoroughly explores the impact of three existing healthcare service payment mechanisms—fixed medical payment, service-based payment, and value-based payment—on self-health management decisions and patient-healthcare provider collaboration considering the dynamics of health value. The research findings indicate that while value-based payment aims to guide patient-healthcare provider collaboration and enhance health value, it suppresses the level of patient self-health management efforts. Due to the inability to effectively incentivize healthcare service providers, the fixed payment mechanism leads to the lowest utility in the chronic disease management system. The service-based payment mechanism can coordinate patient and healthcare provider and achieve optimal health value and system utility. The management insight of this article is that in service supply chains considering consumer coordinatively create dynamic value, administrators should be cautious about value-based payment mechanisms to prevent disincentives for collaboration.

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    Two-Stage Decision-making Method in Response to Public Opinion Crisis Derived from Emergency Considering Emotion Evolution
    Huifang Nie, Jianjun Zhu
    2025, 33 (10):  112-125.  doi: 10.16381/j.cnki.issn1003-207x.2023.0541
    Abstract ( 54 )   HTML ( 0 )   PDF (1678KB) ( 39 )   Save

    The occurrence of emergencies can not only endanger the human society directly but also cause a series of secondary or derivative events because their chain reaction, and public opinion crisis (POC) is one of them. With the rapid development of new media, we-media et.al, the negative impact of emergencies usually can cause POC,thereby resulting in social losses. Therefore, how to propose an effective emergency decision-making method for POC caused by emergencies has become an important issue needs to be solved urgently by the government. Focusing on this issue, a two-stage decision-making method in response to POC considering public emotion evolution is proposed. Firstly, the two-stage decision-making problem in response to POC is described, and a distance measure method for hesitant fuzzy decision information in POC is given. Second, a response method for the initial stage of POC is proposed based on cumulative prospect theory from the perspective of the attribute of response plan. Then, considering the impact of public emotion evolution on decision-making process, a model is constructed to analyze the evolution trend of public emotion under different strategic choices by decision makers, and a programming model regarding the optimal adjustment alternatives in medium stage of POC is given from the perspective of public intervention. a numerical example is given to verify the feasibility of the method, and the comparative analysis with other methods proves the advantages of this method. The results show that: (1) In response process of POC caused by emergencies, the government should pay real-time attention to the public’s emotion changes and whether the initial response plan needs to be adjusted, so as to avoid a large-scale outbreak of POC. (2) Decision makers should adjust the response plan before the proportion of public with negative emotions evolves to a steady state. (3) Compared with the existing distance formulas, our proposed novel distance measurement of decision information in POC can obtain more reasonable decision results.

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    Research on the Joint Optimization of Procurement Planning and Supplier Selection for the Overseas Base of Manufacturing Enterprises
    Yuanyuan Jiang, He Luo, Zhiwei Wu, Zhiming Cai, Guoqiang Wang
    2025, 33 (10):  126-137.  doi: 10.16381/j.cnki.issn1003-207x.2022.2462
    Abstract ( 39 )   HTML ( 0 )   PDF (1582KB) ( 20 )   Save

    In the trend of economic globalization, the method of establishing production bases in other overseas countries is increasingly adopted by manufacturing enterprises to participate in international competition. Overseas production bases, as independent subsidiaries of manufacturing enterprises, engage in cross-regional operations, with cross-regional procurement being the primary link in their production and operation. Reasonable selection of suppliers and determination of the quantity of procurement directly affect the operation and efficiency of the enterprise. However, many challenges were confronted with cross-regional procurement, such as various tax policies of different governments, indeterminate supplier factors, etc. Traditional procurement strategies are no longer able to adapt to the ever-changing market environment.Regarding the cross-regional procurement problem of overseas bases for manufacturing enterprises, with the research background of optimizing procurement plans for multiple materials and suppliers within a single procurement cycle, the tax policies of the host country of the overseas base are combined with the supplier management strategy of the manufacturing enterprise, a nonlinear integer programming model to minimize the total comprehensive purchase cost is constructed, which includes five conventional costs: material procurement costs, sea freight costs, raw material inventory costs, raw material processing costs, and customs clearance costs. Quantitative analysis is conducted on tax policies and supplier balance, and the procurement issues of overseas bases for manufacturing enterprises are reasonably described.For this nonlinear integer programming model, a genetic algorithm based on multiple adaptive mechanisms is proposed to solve it. The adaptive mechanism includes a selection strategy that combines various selection methods, an adaptive crossover and mutation strategy based on the fitness value of the population, and an adaptive restart mechanism for elite retention. Numerical experiments have shown that the algorithm can effectively solve the model proposed in this paper, and in the same situation, it can obtain high-quality solutions compared to the comparison algorithm, and simultaneously, as the problem size increases, the algorithm's advantages in solving problems become more prominent. The analysis of variance shows that the robustness of the algorithm is also better than that of the comparative algorithms. Finally, taking the procurement plan of a manufacturing enterprise's Brazilian production base as an example for case analysis, the results show that the optimized procurement plan can better balance the short-term and long-term costs of the enterprise, and has certain theoretical and practical value. It can provide reference and inspiration for manufacturing enterprises to formulate cross-regional procurement plans.

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    Research on the Commercial Reserve Decisions of Rare Metals
    Jianyun Chen, Wenxing Zhu, Xianping Luo
    2025, 33 (10):  138-148.  doi: 10.16381/j.cnki.issn1003-207x.2023.1329
    Abstract ( 35 )   HTML ( 0 )   PDF (1423KB) ( 19 )   Save

    Rare metals stand as a crucial cornerstone for the advancement of strategic emerging industries. In order to foster high-quality development of the rare metals sector, China enforces a system of total control management over rare metals, while steadily enhancing a reserve system that integrates physical reserves with mineral deposit reserves. Among these measures, commercial (enterprise) reserves constitute a significant approach to the physical reserves of rare metals. Taking rare earths as an example, mathematical modeling and decision analysis under stochastic demand for two types of commercial reserve models are conducted: the “policy-guided” model (where government guides firm’s reserve decisions) and the “subsidy-incentive” model (where the government incentivizes reserve decisions through subsidies). The results show that in the “subsidy-incentive” model, the reserve quantity, the market price and the firm’s expected profit are higher, while the expected sales volume, the government's expected profit, the consumer's expected surplus and the social welfare are lower. The influences of the total quota index, the unit reserve subsidy, the market size, the unit reserve revenue/cost, and the price sensitivity coefficient of rare earth products on the decision results are also investigated. Several managerial implications are provided for rare earth firms on the joint optimization of rare earth reserve and pricing, and for governments on the enhancement of rare earth supply chain performance through total quota management and reserve subsidies.

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    Vertical Merger, Product Quality and Pricing Decision
    Xingtang Wang
    2025, 33 (10):  149-158.  doi: 10.16381/j.cnki.issn1003-207x.2023.0634
    Abstract ( 57 )   HTML ( 0 )   PDF (929KB) ( 36 )   Save

    In order to reduce costs and optimize the allocation of resources, vertical merger and acquisition has become an important mode of capital operation and business location. Vertical mergers and acquisitions should not only consider price coordination, but also quality coordination and quality and price coordination. How does a firm's vertical merger affect the product quality and price of the acquiring and non-acquiring firms? Will such mergers and acquisitions improve social welfare?Various types of manufacturers such as integrated enterprises, intermediate suppliers and downstream manufacturers are introduced into the Salop model, and the impact of vertical mergers and acquisitions on product pricing, product quality and social welfare is analyzed by constructing a multi-stage game model. It is found that the integration of firm is not participate in the case of intermediate goods supply, the vertical mergers and acquisitions in the market can improve the quality of the final product of M&A and pricing, but reduces the M&A enterprise product quality and pricing. Look from the industry as a whole, vertical merger behavior leads to market products, on average, a decrease in the level of quality and pricing. If consumers attach high (low) enough importance to product quality, vertical M&A will damage (improve) consumer surplus, which will lead to a decline (rise) in the overall social welfare level. The situation is analyzed that integrated firms participate in the supply of intermediate goods, and it is found that vertical M&A between upstream firms and downstream firms will lead to the improvement of average product quality. And the integration of enterprises and the downstream enterprises mergers and acquisitions is to cause a decline in the average level of product quality. The results of this study have important reference value for government censorship enterprise vertical mergers and acquisitions.

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    Optimal Control Analysis of New Energy Vehicle Firms Based on Low-Carbon & Intelligent Based Advertisement
    Jizi Li, Guopan Zhang, Chunling Liu, Biao Sun, Yong Wang
    2025, 33 (10):  159-165.  doi: 10.16381/j.cnki.issn1003-207x.2022.2359
    Abstract ( 38 )   HTML ( 0 )   PDF (752KB) ( 33 )   Save

    Under the dual carbon policy, new energy vehicles are accelerating to replace traditional fuel vehicles, and the fierce competition in the new energy vehicle market also makes manufacturers constantly seek product differentiation, and then influence consumers' choice of products through different advertising strategies. To this end, the competition of advertising positioning strategies between new energy vehicle manufacturers in a duopoly is studied. By establishing a decision model of two advertising strategy: the low-carbon based and the intelligent based one, by using the optimal control and differential game method, then it is obtained, under the equal and non-equal power, the two optimal advertising investment levels of two new energy vehicle manufacturers over time.The main results indicate that, in the case of the equal power of two new energy vehicle manufacturers, the optimal low-carbon based advertising effectiveness levels gradually decrease over time; The sales rate of the smaller new energy vehicle manufacturer increases over time; For the larger new energy vehicle manufacturer, the sales rate depends on its share and market expansion; The optimal level of intelligent based advertising increases over time in the initial stage; Additionally, for the larger manufacturer, the optimal low-carbon based advertising effectiveness level decreases more fastly than the optimal intelligent based advertising.In the case of the non-equal power: when two new energy vehicle manufacturers have equal initial sales, the difference is reflected in the effectiveness of intelligent based advertising. The stronger new energy vehicle manufacturer has the better initial intelligent based advertising effectiveness, while weaker one remains unchanged in intelligent based advertising, but later the two manufacturers have a faster decline in effectiveness; If the strong new energy vehicle manufacturer has high initial sales, the effectiveness difference in the intelligent based advertising between two new energy vehicle manufacturers is not significant, and yet the effect of intelligent based advertising decreases slowly in the early stage; If there is a significant difference in initial sales, the intelligent based advertising effect of the weaker one in the initial stage is much higher than that of its competitors, but the intelligent based advertising effect of the stronger manufacturer subsequently surpasses that of the weaker one.The relevant results of this study can provide a reference and decision-making for new energy vehicle manufacturers to invest in low-carbon and intelligent based advertising under the different powers and different stages.

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    Content Exclusivity Strategies for Platforms under Different Consumers' Awareness
    Xinjie Cao, Weijun Zeng
    2025, 33 (10):  166-175.  doi: 10.16381/j.cnki.issn1003-207x.2022.2788
    Abstract ( 34 )   HTML ( 0 )   PDF (1029KB) ( 28 )   Save

    Digital technology promotes the development of platform-based content ecology. With continuous enrichment of its content, the incumbent platform is increasingly known by more and more consumers, while the entrant platform gets less awareness and attention from the consumers. The new content exclusivity competition between an incumbent platform and an entrant platform under different consumers’ awareness of the platforms is analyzed. In particular, the exclusive purchase of the new content by the entrant platform can increase its consumer awareness. By solving the content purchase game between the two platforms and analyzing the corresponding equilibria, it is found that, if the exclusive purchase of the new content cannot significantly improve the consumers’ awareness of the entrant platform, then the incumbent platform has the higher exclusive bidding power; otherwise, the entrant platform has the higher exclusive bidding power. Interestingly, facing deterrence of the exclusive purchase of the entrant platform, the incumbent platform may purchase the new content even though its profit declines with the purchase. On the other hand, the entrant platform never purchases the new content simultaneously with the incumbent. Only when the entrant platform has the higher exclusive bidding power will it be possible to enhance its competitiveness by seizing the new content that the incumbent platform cannot buy. For policy maker, the difference in the consumers’ awareness between the two platforms can be reduced to enhance the social welfare especially when the incumbent platform has the higher exclusive bidding power but the purchase of the new content does not significantly enlarge the content utility gap between the two platforms. Moreover, the entrant platform should be encouraged to purchase the high-value new content to compete against the incumbent platform, which can further improve the social welfare. It contributes to research on content exclusivity strategies for platforms by considering different consumers’ awareness for the competing platforms in this study.

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    Newsboy Model under Demand Side with the Multiple Poisson Flows
    Jie Chen, Lingbo Xing, Juan Cao, Zhixiang Chen, Weisheng Li
    2025, 33 (10):  176-186.  doi: 10.16381/j.cnki.issn1003-207x.2022.2331
    Abstract ( 24 )   HTML ( 0 )   PDF (1021KB) ( 16 )   Save

    Under the background of interweaving and overlapping events such as the great changes of the century, the epidemic of the century, the science and technology war, the trade war, the inflation of major western economies, and the conflict between Russia and Ukraine, many unexpected factors are induced, which have a great impact on the capital flow, technology flow, service flow, logistics and other branches of the supply chain. Then it evolves into the positive and negative intervention effects of various Poisson flows on the demand side with different attributes. Therefore, the randomness on the demand side based on Poisson process is described, and then its statistical regularity is integrated into the theoretical framework of the classic newsboy model, and a new model and its decision mechanism is proposed. Based on the relevant theories of the new model and its numerical experimental results, the following important conclusions and management implications can be further drawn:① The intervention mechanism of multiple Poisson flows formed by unexpected factors on the decision-making mechanism has positive and negative properties, that is, when Poisson flows are positive, there is a positive correlation between the intervention intensityλi(i=1,2,,n) and the decision-making mechanism, which means that when the intervention intensity increases, the optimal order quantity and expected profit have an upward trend. When Poisson flow is negative, there is a reverse correlation between intervention intensity and decision-making mechanism. It is shown that the positive and negative properties of Poisson flow determine the motion trend of the optimal order quantity and the expected profit curve. Therefore, it is necessary to identify the relationship properties between random factors and demand side, so as to reveal the conduction mechanism of each Poisson flow in the decision-making mechanism, and then provide theoretical support for the formulation of decision-making criteria.② When the total number of Poisson flow interventions on market demand remains unchanged, the randomness induced by scale parameter λ has a negative effect the decision-making mechanism, that is, when λ increases, the optimal order quantity and expected profit have a downward trend. Therefore, an important management implication can be drawn from this, namely: Decision makers should take the scale parameter λ as the core element, build a database for risk identification and monitoring, which is used to measure the potential risks loaded by the inventory system, strengthen the awareness of risk prevention and resolution of “seeing the danger in the intangible, seeing the disaster in the unknown”.③ The number of interventions generated by the Poisson flow Zi on the demand side is mapped to the negative effect of the decision-making mechanism, which also depends on the positive and negative properties of the Poisson flowZi, that is, the more the number of interventions of the positive Poisson flow on the demand side, the greater the optimal order quantity and expected profit, otherwise the vice versa. It can be seen that in the case of multiple Poisson flows on the demand side, the identification of positive and negative attributes of Poisson flows is helpful to improve the operation and management level of supply chain.In conclusion, decision makers can make full use of the essential characteristics of multiple Poisson flows to build a risk prevention and resolution mechanism with integrated risk data monitoring, risk identification, risk pre-warning, risk response strategy and other elements, so as to improve the ability and decision-making level of risk management in the process of risk decision-making, and to achieve the purpose of optimizing the performance of operation and management.

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    Can Purchasing Postponement Avoid Greenwashing in the Fashion Supply Chain?
    Qi Chen, Yongrui Duan
    2025, 33 (10):  187-196.  doi: 10.16381/j.cnki.issn1003-207x.2022.2185
    Abstract ( 38 )   HTML ( 0 )   PDF (947KB) ( 18 )   Save

    The proliferation of greenwashing in the fashion industry presents a challenge for the sustainable transformation of the fashion industry. At present, few studies have focused on the governance mechanism of greenwashing in the fashion supply chain in the context of manufacturing outsourcing. In general, suppliers are prone to violating environmental regulations related to greenwashing. To manage supplier social responsibility, some fashion retailers have adopted a self-assessment strategy whereby they ask suppliers to self-report green level of apparel. Self-reported information is difficult to verify and this leads to an important credibility question: can a fashion retailer expect truthful reporting? Whether a supplier’s green level can be credibly communicated through free and unverifiable self-reporting is examined.

    A cheap talk model consisting of a supplier manufacturing a green fashion apparel with uncertain audit and demand, and a fashion retailer who must determine the allocation of limited inventory capacity between a preexisting unsustainable clothing and the supplier’s green apparel that may or may not pass the audit is developed. The supplier is endowed with a given green level (privately known to him) representing the probability of no violation, which he shares (either truthfully or not) with the fashion retailer. The interaction between the supplier and the fashion retailer in two stylized operational systems is analyzed: (i) traditional system, in which the fashion retailer must decide the order quantity of unsustainable clothing before knowing whether green apparel will pass the audit; and (ii) flexible system, where the fashion retailer has the option to postpone (at a cost) her capacity allocation decision until the uncertainty about the result of the audit of the green apparel is resolved.

    It is found that: in the traditional system, the green supplier always prefers to send an excessively optimistic report, to induce the fashion retailer to set aside a larger portion of her capacity for the green product. Anticipating this behavior, the fashion retailer cannot find the report credible. Thus, truthful information sharing is blocked because of the conflicting incentives of the two players. In the flexible system, on the contrary, truthful information exchange may emerge in equilibrium, where the supplier transmits his true green level and the fashion retailer treats the transmission as truthful. The genesis of this effect is preference reversal, where the green supplier may prefer to send different reports under different realizations of the fashion retailer’s inventory capacity. This mixture of preferred reports, coupled with the supplier’s uncertainty about the fashion retailer’s inventory capacity can result in a situation where the supplier is not sure which way to distort the report to best motivate the fashion retailer to wait for the green product. Thus, it is shown that the greenwashing within the fashion supply can be avoided from a relatively rich setup featuring two-sided information asymmetry interacting with postponement flexibility.

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    Research on VMI Inventory Decision Model for Assembly System under Supplier's Yield Uncertainty
    Jianhu Cai, Zhengang Cao, Qian Zhou, Wenliang Bian
    2025, 33 (10):  197-211.  doi: 10.16381/j.cnki.issn1003-207x.2022.2521
    Abstract ( 27 )   HTML ( 0 )   PDF (1263KB) ( 11 )   Save

    The timely supply of various components is the key to the efficient operation for the assembly system. However, the supplier’s yield uncertainty makes the timely supply of the components unable to be guaranteed, and the insufficient supply of any kind of the component will lead to the failure of the assembly. Moreover, many assembly systems operate under vendor-managed inventory (VMI) mode, which makes production decisions more difficult for the supplier whose yield is uncertain. Thus, the suppliers’ production decisions in the assembly system are studied under VMI mode while considering yield uncertainty. An assembly system with two suppliers and one assembler is constructed, and the system operates under VMI. Two different situations are analyzed: Only one supplier’s yield is uncertain and both suppliers’ yields are uncertain. In each situation, the assembler’s commitment order quantity contract and the supplier’s replenishment strategy are adopted separately in an attempt to improve the performance of the assembly system. Both suppliers’ optimal input decisions in different cases are obtained. On this basis, the effects of the assembler’s commitment order quantity contract and suppliers’ replenishment strategy on the suppliers’ optimal input quantities and the assembly system members’ expected profits are discussed. The results show that: in the two situations, the assembly system can achieve a Pareto improvement under specific conditions after introducing the commitment order quantity contract; when only one supplier’s yield is uncertain, for any given commitment order quantity higher than the market demand, there exists a corresponding boundary value of the shortage cost, and if the actual shortage cost exceeds this boundary, the assembler can obtain a higher expected profit by introducing the commitment order quantity contract; the supplier’s replenishment strategy can always lead to a Pareto improvement of the assembly system. Furthermore, main conclusions are verified by numerical analysis. In general, the cooperation schemes provided in this paper can effectively cope with the supplier’s yield uncertainty in the assembly system and it is expected to improve the competitiveness of the assembly system in practice.

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    Conflict Management in Carbon Reduction in Dual-channel Supply Chain: An Approach Based on Minimum Cost Inverse GMCR
    Hengjie Zhang, Juan Liu, Wenfeng Zhu, Yucheng Dong
    2025, 33 (10):  212-224.  doi: 10.16381/j.cnki.issn1003-207x.2022.1825
    Abstract ( 33 )   HTML ( 0 )   PDF (796KB) ( 14 )   Save

    With the implementation of carbon cap-and-trade policies, as well as the enhancement of consumers’ low-carbon awareness, carbon reduction has gained widespread attention in the dual-channel supply chain. In the dual-channel supply chain comprised of an online channel for manufacturers and a brick-and-mortar retail channel for retailers, the carbon reduction strategies of manufacturers affect not only their own cost structure but also the channel interests of retailers. Owing to the dispute in terms of supply of low-carbon products and cost sharing of carbon reduction, there is a carbon reduction conflict between manufacturers and retailers. When mediating the carbon reduction conflict, it often needs cost to guide decision makers to change their preferences. Generally, the cost arising from this process is expected to be as small as possible. Consequently a minimum cost inverse graph model for conflict resolution (GMCR) model is proposed, which aims to provide references for designing cost-optimal mediation strategies to coordinate the carbon reduction conflict. Firstly, matrix formulation with additive preference relations to calculate individual stability and equilibrium is designed for the following solution concepts: Nash stability, GMR stability (General Metarationality) and SMR stability (Symmetric Metarationality), respectively. Then, minimum cost inverse GMCR models with Nash, GMR and SMR stabilities are presented to obtain the optimal preference information such that the desired equilibrium is reached. Finally, an example regarding the carbon reduction conflict in the dual-channel supply chain of the household appliance industry is provided to demonstrate the application of the proposed models. From the application, the optimal preference information and the cost of preference adjustment under Nash, GMR and SMR stability are obtained, among which the cost under the Nash stability is the largest. With the support of the proposed minimum cost inverse GMCR models, minimum cost conflict mediation strategies can be designed to resolve conflict problems.

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    Research on Capacity Matching Strategy of Third-party Shared Manufacturing Platform Considering Order Splitting
    Duanyang Cao, Xumei Zhang, Bin Dan
    2025, 33 (10):  225-235.  doi: 10.16381/j.cnki.issn1003-207x.2022.2182
    Abstract ( 39 )   HTML ( 0 )   PDF (973KB) ( 25 )   Save

    With the development of the new generation of information technologies and shared economics, third-party shared manufacturing platforms (TPSMPs) are booming. Such platforms support the sharing of production capacity between manufacturing enterprises by integrating the dispersed and idle capacity of manufacturing enterprises in the market and matching capacity demand and supply. That is, manufacturing enterprises with overcapacity (capacity suppliers) in the TPSMP can share their surplus capacity, and manufacturing enterprises with insufficient production capacity (capacity demanders) can find suitable capacity suppliers and use their surplus capacity. In practice, considering the mismatch between capacity supply and demand in quantity, the order from one capacity demander on the TPSMP cannot usually be fully satisfied by a single capacity supplier, thus the capacity demander will allow the TPSMP to split its order to multiple capacity suppliers. Order splitting will incur additional cooperative costs, different capacity matching decisions will also affect the profitability of the TPSMP. Meanwhile, to guarantee that orders are fully satisfied, the TPSMP needs to decide not only which capacity suppliers to match with the capacity demanders, but also the matching quantities of the corresponding capacity suppliers, which complicates the TPSMP's capacity matching decisions.The main work of our paper includes the following three parts. First, focusing on the capacity matching problem of the TPSMP based on order splitting, the capacity split matching model maximizing the profit of the TPSMP is constructed considering the capacity of supply and demand quantity, price, minimum matching quantity, etc. Second, to solve the model, a two-stage heuristic method is designed combining greedy algorithm (GA) and large neighborhood search algorithm (LNS). In the first stage, GA is applied to generate an initial feasible solution, in the second stage, LNS is adopted to improve the initial feasible solution. Finally, through numerical examples, the effectiveness of GA-LNS is verified, and some insights are obtained.The main results show that (1) the revenue of the platform and the total revenue of the suppliers increase positively with the decrease of the minimum matching quantity acceptable for capacity suppliers; (2) the effectiveness of the two stage heuristic algorithm GA-LNS is verified by comparing with the results obtained by GUROBI and variable neighborhood search algorithm (VNS); (3) the variation range of the relative deviation index (RDI) of the results obtained by GA-LNS is very small, and the GA-LNS algorithm has good stability. Our algorithm can obtain high quality solutions in a short time, which provides theoretical reference and decision-making basis for third-party shared manufacturing platform to solve the capacity matching problem considering order splitting.

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    Supply Chain Financing Mode Selection under Financial Constraints Based on Blockchain Technology
    Daoping Wang, Mengying Zhu, Hanxi Dong
    2025, 33 (10):  236-245.  doi: 10.16381/j.cnki.issn1003-207x.2023.0216
    Abstract ( 53 )   HTML ( 0 )   PDF (1000KB) ( 28 )   Save

    The core enterprises in the supply chain not only assume the traditional operational roles such as production, but also can provide commercial credit financing services for capital constraint SMEs. This involves granting SMEs a certain commercial credit period, allowing them to sell goods first and pay for the core enterprises after the credit period expires. However, there are several issues in the practical implementation of this financing method. Due to the deferred payment of goods, commercial credit financing will squeeze the core enterprise's capital. Additionally, there is still a risk of SMEs not repaying the loan on time or defaulting on their debts. Blockchain possesses highly transparent, tamper-evident, traceable, and smart contract features that can solve the existing problems in supply chain financing. By establishing an alliance chain, enterprises within a supply chain can make the uploaded data, information, and transactions visible and transparent, ensuring their authenticity. Smart contract can automate tasks such as payment, settlement, and financial reconciliation, enabling the entire electronic transmission of information for trade finance transactions. This simplifies the process of recording and passing paper documents and reduces potential risks associated with human factors. The improved efficiency of business processing can, to a certain extent, shorten the commercial credit period provided to retailers. Furthermore, deploying blockchain can improve product sales to some extent. However, it's important to note that utilizing blockchain is not free and entails expensive hardware and software investment costs.Commercial credit financing, an internal supply chain financing mode, has been effective in alleviating the financial constraints of SMEs, and scholars have begun to study the role of blockchain technology in promoting supply chain operation and management, especially supply chain financing in recent years. However, most of the existing literature focuses on the impact of blockchain on the supply chain financing mode with the participation of external institutions such as banks, while less literature focuses on the internal supply chain financing mode. Based on the above analysis, considering that the adoption of blockchain requires the payment of fixed deployment cost and the unit product blockchain usage cost, as well as its potential to address issues such as SMEs' failure to repay on time, reduce commercial credit periods, and enhance market demand, two supply chain financing modes are proposed: traditional supply chain financing and blockchain supply chain financing. The optimal pricing and ordering decision of the supply chain under the two modes are solved, the equilibrium results of the two modes are compared, and the conditions for introducing blockchain into the supply chain are also analyzed. The following findings are revealed: (1) When the market demand increase rate after adopting blockchain surpasses the opportunity gain obtained through defaulting in the traditional financing mode, the wholesale price relationship in both modes is influenced by the unit product production cost. However, when the demand increase rate is lower than the opportunity gain obtained through defaulting, the wholesale price relationship is affected by the unit product blockchain usage cost. The ordering quantity relationship in both modes is dependent on the production cost. If the production cost exceeds a certain threshold, the optimal order quantity after adopting blockchain is greater than that in the traditional one. (2) If the market demand increase rate after adopting blockchain exceeds the opportunity gain obtained through defaulting, adopting blockchain can make the retailer more profitable when the unit product blockchain usage cost is below a certain threshold. If the market demand increase rate is lower, but the commercial credit period can be significantly reduced after adopting blockchain, then when the production cost is higher and the unit product blockchain usage cost is below a certain threshold, adopting blockchain is also beneficial to the retailer. Adopting blockchain can only be more profitable for the supplier if both the fixed deployment cost and the unit product blockchain usage cost are low.In summation, the research perspectives and results of this study can provide meaningful references for capital constrained supply chain in blockchain environment how to make financing and operational decisions.

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    Brand Owner's Blockchain Anti-counterfeiting Adoption Considering Anticipated Regret and Second-hand Markets
    Tianyang Yu, Zhimin Guan, Jingyang Dong, Ying Zhao
    2025, 33 (10):  246-258.  doi: 10.16381/j.cnki.issn1003-207x.2023.0044
    Abstract ( 29 )   HTML ( 0 )   PDF (1227KB) ( 15 )   Save

    Under the influence of the circular economy concept, people’s acceptance of second-hand consumption is gradually increasing. However, the penetration of counterfeits has always been a pain point in the secondary market and a long-standing problem for many brand owners. Although the brand owner can achieve strict control over the distribution channel by establishing direct selling store, to ensure that the new products they sell are genuine. However, the second-hand business is usually run by the third-party second-hand dealer. The low ability of the second-hand dealer to identify the authenticity of products has led to the proliferation of counterfeit products in the second-hand market, which can damage the brand image. Blockchain technology can solve the problem of counterfeit products and enhance brand image. In addition, for consumers, the second-hand market coexists with real and fake products, and the new product is expensive. Therefore, consumers may regret in the future no matter which product they buy. When consumers anticipate this potential regret psychology, it can have an impact on their current purchase choices. This behavior is called “anticipated regret” and can further influence the operational decisions of the companies. With the application of blockchain technology, the uncertainty of counterfeits penetrating the secondary market is resolved, naturally avoiding the anticipated regret behavior of consumers.Based on the above background, the competition between the brand owner selling the new product and the second-hand dealer selling the second-hand product is considered. The application of blockchain technology by the brand owner can prevent counterfeits from penetrating the secondary market, which can enhance brand image and also avoid consumers’ post-purchase regret. Therefore, it focuses on the blockchain technology application strategy of the brand owner and its impact on the second-hand dealer when consumers have anticipated regret behavior and when anti-counterfeiting through blockchain technology can also enhance brand image.Then, a Stackelberg game model dominated by the brand owner and followed by the second-hand dealer in scenario N (without blockchain technology) and scenario B (with blockchain technology), respectively, is built. It is solved for the optimal pricing strategies, demands and profits for the two products based on the backward induction to maximize the profit. Afterwards, the optimal results under scenario N and scenario B are analyzed.The subsequent section covers equilibrium analysis, which consists of two main aspects. First, the sensitivity analysis mainly includes the effects of the anticipated regret sensitivity coefficient, the degree of brand image improvement and the average retention coefficient on the equilibrium results. Second, the optimal price, demand and profit between the two scenarios are compared to obtain the conditions for the brand owner to apply blockchain technology.The important conclusions obtained in this paper are as follows. (1) In Scenario N, as the anticipated regret sensitivity coefficient increases, the retail price of new and second-hand products and the profit of the brand owner increase, the demand for new product remains unchanged while the demand for second-hand product decreases, and the profit of the second-hand dealer first increases and then decreases. (2) In Scenario B, the retail price and demand for both products and the profits of both the brand owner and the second-hand dealer are positively related to the degree of enhancement of the brand image. (3) When blockchain fixed cost is negligible, the brand owner is motivated to apply blockchain technology only when the brand image improvement is high enough and the anticipated regret sensitivity factor is large enough. (4) The application of blockchain technology by the brand owner also benefits the second-hand dealer, and the Pareto improvement region after the application of blockchain is positively related to the anticipated regret sensitivity coefficient as well as the genuine rate, and negatively related to the average retention coefficient. (5) When the spillover effect of brand image improvement is small, the application of blockchain by the brand owner is always detrimental to the second-hand dealer.

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    Blockchain Provision Strategy in Agricultural Products E-commerce under Hybrid Sales Model
    Xiaogang Lin, Hailing Huang, Wenzhuo Li, Qiang Lin
    2025, 33 (10):  259-268.  doi: 10.16381/j.cnki.issn1003-207x.2023.0117
    Abstract ( 45 )   HTML ( 0 )   PDF (925KB) ( 24 )   Save

    With the rapid development of e-commerce of agricultural products, the hybrid sales model, which consists of wholesale and agency channels, has gradually become the main sales mode for major e-commerce platforms and their sellers to cooperate. Additionally, due to the typical characteristics of blockchain technology, i.e., distributed storage, non-tampering and transparency, these platforms can share the information of market demand with their sellers to increase sales and profits. However, the platform will face the elimination of its own information advantages by providing blockchain technology to agriculture-related enterprises. Does the platform have the motivation to share information with upstream agriculture-related enterprises? Can the platform and agriculture-related enterprises win together? Under the hybrid sales model, a game-theoretic model is built to consider an e-commerce agriculture supply chain consisting of an e-commerce platform and two agriculture-related enterprises by using Stackelberg game method. One enterprise sells its product to the platform who then sells to customers (wholesale channel), while the other enterprise sells its product through the platform by paying a commission rate (agency channel). Whether the platform should provide blockchain strategy (and thus disclose demand information) to neither enterprise, one enterprise, or both enterprises is examined. And its impact of the platform's blockchain provision strategy on agriculture-related enterprises and the conditions for the platform and agriculture-related enterprises to achieve a win-win situation is studied. It is found that: The market uncertainty and the commission rate will play a key role in the platform’s blockchain provision strategy. Specifically, when the demand uncertainty is large and the commission rate is small, the platform should not provide blockchain technology to both agriculture-related enterprises. Nevertheless, when the commission rate is large (both the demand uncertainty and the commission rate are small), it is better for the platform to provide blockchain strategy for only the agriculture-related enterprise that uses the wholesale (agency) channel. When the demand uncertainty is small and the commission rate is moderate, the platform provides blockchain technology to two agriculture-related enterprises simultaneously. The profit of the corresponding agriculture-related enterprise who is offered blockchain technology increases as the platform’s provision strategy is to provide blockchain for only one enterprise. However, both the agriculture-related enterprises become worse-off as the platform’s provision strategy is to provide or does not blockchain for both enterprises. Additionally, further expanding the study to investigate the existence of network externality and the single wholesale/agent model, it is found that the impact of network externality on the blockchain provision strategy of platform firms is not significant, while the blockchain provision strategy of platform firms under the single wholesale/agent model is significantly different from the hybrid sales model.

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    Carbon Emission Reduction Decision Considering Dynamic Consumer Green Perception under the Cap-and-trade Policy
    Danlu Zhang, Feng Li, Liang Liang, Gang Kou
    2025, 33 (10):  269-281.  doi: 10.16381/j.cnki.issn1003-207x.2023.0867
    Abstract ( 56 )   HTML ( 0 )   PDF (2090KB) ( 48 )   Save

    The regulation and mitigation of carbon emissions have become critical priorities worldwide. Consequently, many national governments have sequentially introduced diverse emission reduction policies, while the carbon trading market has been demonstrated as an efficacious market-based mechanism, serving as a crucial tool for mitigating carbon emissions. Furthermore, consumers' green consciousness is progressively intensifying, with an increasing number of consumers expressing concerns about the carbon footprint of products. Existing literature has examined factors influencing emission reduction and the impact of consumer green consciousness on such reduction efforts. However, there is limited consideration given to the dynamic change in consumers’ green perception. Consumers’ green perception, similar to carbon reduction, is a long-term dynamic process influenced by factors such as low-carbon policies and technological innovation. Therefore, considering the cap-and-trade and taking dynamic green perception and dynamic carbon reduction into account simultaneously, the impact of different government subsidy policies (consumer subsidy under the TC model and manufacturer subsidy under the TM model) on optimal decision-making in the supply chain is investigated. Furthermore, leveraging carbon emission data from energy-efficient air conditioners by Midea, along with cost data for Carbon Capture, Utilization, and Storage (CCUS), and current carbon price from the cap-and-trade, a numerical analysis is conducted to examine the impacts of carbon trading prices and production emission coefficients on enterprise profits, societal welfare, and carbon emissions. It is found that: (1) Compared to the TM model, the proactive attention of supply chain members to environmental costs has been effectively enhanced under the TC model. (2) The steady-state value of societal welfare under the TC model surpasses that under the TM model from the long-term perspective. However, during the initial stages of product introduction, the societal welfare is lower under the TC model, even lower than that under the no-subsidy model. (3) When both the carbon trading price and consumer green preferences are relatively high, the optimal subsidy rate under the TC model is higher.

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    Decisions of Green Products Supply Chain by Considering Retailer's Fairness Concerns under Advance Selling
    Haoxiong Yang, Xinran Chen, Wei Shi, Yiqi Sun
    2025, 33 (10):  282-292.  doi: 10.16381/j.cnki.issn1003-207x.2022.2709
    Abstract ( 40 )   HTML ( 0 )   PDF (1231KB) ( 29 )   Save

    Manufacturers cooperate with merchants who are stationed on e-commerce platforms to promote green products through the pre-sale mode. Given that, a supply chain decision-making model considering the fairness concerns of the retailer under the pre-sale model is constructed based on Stackelberg Game, which considers that the dominant manufacturers and a retailer makes regular-sale promotional efforts, then the impact of green product pre-sale scales and the fairness concerns on the decision-making of supply chain members are analyzed. According to the model, the cost-sharing contract is established to relieve the uneven distribution of profits. It is found that: the improvement of consumers’ green sensitivity could urge the green upgrading of the supply chain, but lead to the reduction of promotion efforts. Increasing the scale of pre-sale could not continuously make up the profit gap. When a retailer has fairness concerns, it is not conducive for green products to upgrade, but the cost-sharing contract could weaken the negative effect of fairness concern behavior. In addition, the effects of adopting cost-sharing contract are more significant when the scale of pre-sale is large, and it could improve retailer' more profits than manufacturers. A larger cost-sharing coefficient would aggravate the negative effects of fairness concerns on the overall profits of the supply chain.

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    A Study on the Impact of Blockchain Technology on the Cooperative Strategy of Low Carbon Supply Chain
    Jiayi Sun, Yangyang Lu, Chunxian Teng
    2025, 33 (10):  293-303.  doi: 10.16381/j.cnki.issn1003-207x.2023.0111
    Abstract ( 48 )   HTML ( 0 )   PDF (903KB) ( 52 )   Save

    Being the world’s largest carbon emitter, the rapid socio-economic development in China has resulted in the emergence of a prominent carbon emission problem. Addressing this issue, the underscored point is the necessity of enterprises’ involvement in carbon emission reduction behaviors. Collaborative carbon reduction is considered an indispensable approach for mitigating carbon emissions throughout supply chains. Enterprises undertake carbon reduction activities through this pivotal method. Nevertheless, the establishment of complete mutual trust between suppliers and manufacturers is confronted with challenges, which are accompanied by heightened cooperation costs and a market permeated with deceptive marketing practices. As a result, the identification of low-carbon products becomes a complex endeavor for consumers. A pathway to resolution is discovered through the utilization of blockchain technology, which adeptly tackles challenges pertaining to information exchange and sharing among multiple entities. The above challenges will be addressed through the enhancement of transaction trust and the introduction of innovative solutions. The evaluation of the extent and implications of blockchain technology in the cooperative emission reduction strategy is emphasized within the context of a low-carbon supply chain. The formulation of optimal strategies for the adoption of blockchain technology and the execution of emission reduction collaborations in such supply chains is being pursued. Additionally, an analysis is conducted to assess the influence of consumer preferences for low-carbon products, blockchain trust parameters, and cost factors on decision-making processes regarding emission reduction and pricing strategies within the supply chain system. Cooperation in carbon reduction and the adoption of blockchain technology are subject to the discretion of suppliers and manufacturers, influenced by their unique circumstances. Four distinct models are developed for making decisions within low-carbon supply chains. These models encompass individual decisions about emission reduction rates without utilizing blockchain technology, collective decisions about emission reduction rates without utilizing blockchain technology, individual decisions about emission reduction rates while incorporating blockchain technology, and collective decisions about emission reduction rates with the integration of blockchain technology. The resolution is attained through the application of the Stackelberg game model, where in the role of the dominant player is assumed by the supplier, while the manufacturer functions as the follower. With the integration of blockchain technology into the supply chain, a state of information symmetry is established between enterprises and consumers. This empowers consumers with in-depth insights into the attributes of low-carbon products, consequently nurturing an unwavering trust in such products. It is underscored that irrespective of blockchain adoption, collaborative carbon reduction remains an effective avenue for enhancing carbon reduction rates for both suppliers and manufacturers. However, the impact of such collaboration on profits is not universally favorable, necessitating prudent decision-making aligned with individual value objectives. Importantly, the introduction of blockchain technology notably amplifies the factor of green trust. This factor directly correlates with the enhancement of carbon reduction rates and profit margins. When blockchain technology is adopted by suppliers and manufacturers with an impact coefficient of period costs lower than a certain threshold, a higher reduction rate will be achieved compared to not adopting blockchain technology. However, when the costs associated with blockchain technology surpass the threshold, its utilization directly influences the profit margins of suppliers and manufacturers. This study’s data is derived from the investigation of real-life cases and references to relevant literature, aimed at providing theoretical foundations and decision-making references for the use of blockchain technology in low-carbon supply chains and the selection of emission reduction cooperation strategies.

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    Strategic Interaction of CSR in Supply Chain with Asymmetric Quality Information
    Yuhui Li, Yuyun Zhang, Faming Zhang, Debing Ni
    2025, 33 (10):  304-315.  doi: 10.16381/j.cnki.issn1003-207x.2022.1773
    Abstract ( 41 )   HTML ( 0 )   PDF (1433KB) ( 21 )   Save

    This study’s primary aim is to investigate the interaction of Corporate Social Responsibility(CSR) strategies in a supply chain with asymmetric quality information from the perspective of strategic CSR. A supply chain consisting of an upstream manufacturer, a downstream retailer and final consumers with CSR-preference is considered. It is assumed that the product made by the manufacturer has two different quality levels: high and low, and the manufacturer privately owns the information on the quality level. Under this quality information asymmetry, the manufacturer and the retailer strategically invest in CSR sequentially before product trading. The manufacturer tries to disclose quality information by its observable CSR strategy with the retailer and consumers, meanwhile, the manufacturer and the retailer try to promote product demand by their CSR strategies, they transact with a wholesale price contract. A signaling model with interaction of CSR strategies in the supply chain is built.The sequence of the game model is as follows. Firstly, the manufacturer chooses a CSR level to its will to disclose quality information. Secondly, after observing the CSR level to form Posterior Bayesian belief on quality, the retailer determines its CSR level. Thirdly, the manufacturer determines its wholesale price according two CSR levels. Fourthly, the retailer determines its order and retail price. Finally, consumers determine whether to purchase according to their Posterior Bayesian belief on quality, two CSR levels and the retail price. With this model, it focuses mainly on the following three questions: (1) What kind of CSR strategy interaction will occur between the manufacturers and the retailer under quality information asymmetry? (2) Do the CSR behaviors of the manufacturer have a signaling effect that conveying their quality type information under the CSR strategy interaction? (3) What are the impact of CSR marginal costs and product production costs on their CSR strategies and economic profits?The separating equilibrium results show that(1) strategically complementarity between the manufacturer’s CSR and the retailer’s CSR leads to that the manufacturer’s CSR stimulates the retailer to invest in CSR, which overcomes the lack of CSR motivation in the supply chain, (2) the manufacturers’ moderate CSR level provides a function of signaling high-quality information to the retailer and consumers. When the difference of CSR margin cost between the high-quality and the low-quality manufacturers is sufficiently small, compared to the complete-information case, information asymmetry leads the high-quality manufacturer and the retail to distort their CSR strategy upwards. With the increase of the retailer’ CSR margin cost, the high-quality manufacturer’s CSR level decreases and his profits increase, (3)the CSR incentive function is effective whether the quality information is symmetrical or not, and gets strengthen with the decrease of the retailer’ CSR margin cost. These results reveal the CSR motivation of node enterprises in an information asymmetry supply chain with joint investment in CSR.

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    Research on Supply Chain Network Performance Based on Multi-level Backup Strategy in Dynamic and Uncertain Environment
    Yingtong Wang, Xiaoyu Ji, Qingchun Meng
    2025, 33 (10):  316-326.  doi: 10.16381/j.cnki.issn1003-207x.2023.0173
    Abstract ( 33 )   HTML ( 0 )   PDF (2156KB) ( 11 )   Save

    Affected by the epidemic, the global supply chain network has been severely impacted by supply chain disruptions, forcing many enterprises to suspend production, resulting in serious economic losses. Notably, even in the face of uncertainties such as disruptions, supply chain sustainability is still valued. This is because it has become inevitable to build a supply chain network that focuses on environmental performance under the “carbon peaking and carbon neutrality” target. Therefore, it is necessary to adopt corresponding response strategies to scientifically design the supply chain network structure and ensure the multi-dimensional dynamic performance of the supply chain network. However, existing studies have not explored supply chain network performance along three dimensions: economic, reliability, and sustainability of the supply chain. And the supply chain network structure with multi-level matching relationship formed by multiple suppliers, manufacturers, etc. is more realistic, which has been paid less attention to. In addition, dealing with disruption risk based on probability theory requires giving the probability distribution of disruptions, and the history data of supply chain disruption are very scarce, so using uncertainty theory to address subjective uncertainty can effectively improve the scientificity and credibility of quantifying disruption risk when historical data are scarce. The supply chain network is in a dynamic uncertain environment, affected by various linear, nonlinear, quantitative and qualitative factors, and the supply chain network itself is also a complex system in which factors and links interact with each other. The system dynamic (SD) approach can address nonlinear and time-sensitive behaviors in a realistic and relatively intuitive way by capturing the causal relationships between relevant factors and their corresponding behaviors, combining quantitative and qualitative aspects. Therefore, it is of great significance to investigate the supply chain network performance based on a multi-level backup strategy in a dynamic and uncertain environment using SD approach in terms of three dimensions: economic, environment and reliability.For this purpose, uncertainty theory is used to quantify and analyze supply chain disruption risk in response to the low frequency and the difficulty of obtaining data of supply and transportation disruptions. And a multi-level backup strategy is used to cope with disruption risks, and the SD model for supply chain network performance analysis is constructed based on the formed supply chain network with multi-subject and multi-level matching relationships. The metrics for evaluating supply chain network performance are extended to three dimensions: economic, environment, and reliability, to analyze the supply chain network performance based on the multi-level backup strategy in a dynamic and uncertain environment. The results show that: (1) Although the multi-level backup strategy may lead to lower profit in the initial stage of supply chain operation, it can effectively mitigate the adverse effects of disruptions on the supply chain network in the long run. Therefore, the decision of the optimal backup level should be combined with the supply chain network operation time, integrating long-term development with short-term adjustment. (2) As the belief degree of disruption increases, the profit will decrease and the supply chain risk will increase, and the larger the belief degree of disruption, the longer the supply chain network operates, and the more significant the effect of adopting multi-level backup strategy. Therefore, the higher the possibility of disruptions in the long-term, the more important it is for decision-makers to plan for “chain preparedness” and optimize the supply chain network structure in order to adapt quickly in the event of external shocks. (3) When belief degree of disruption is large, supply disruption leads to a more significant decrease in profit compared to transportation disruption if the multi-level backup strategy is not adopted. Therefore, to achieve the stability of the supply chain, the reliability of suppliers should be focused on when selecting them, and the mutual cooperation of the supply chain should be strengthened to diversify the risks. (4) The reduced stability of demand results in fluctuations in the supply chain network performance in different directions in terms of economic, environment and reliability dimensions. Therefore, decision makers should weigh the factors they care about and shift from the previous pursuit of profit optimization to a continuous shift in balancing supply chain reliability, economic efficiency and environmental benefits to shape core competitiveness. This provides a basis for optimizing the supply chain network structure and selecting supplier, and gives theoretical support for achieving low-carbon and robust development of the supply chain network.

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    Research on Manufacturers of Shop Live Streaming to Introduce Celebrity Live Streaming Channels
    Yue Chen, Yong Wang, Yulan Duan, Jing Zheng
    2025, 33 (10):  327-338.  doi: 10.16381/j.cnki.issn1003-207x.2023.806
    Abstract ( 48 )   HTML ( 0 )   PDF (1336KB) ( 43 )   Save

    E-commerce live streaming has emerged as a prevailing trend in China in recent years, prompting an increasing number of e-commerce manufacturers to participate actively in this popular online sales mode for enhanced consumer engagement. Within the e-commerce market, two distinct types of live streaming channels have been identified: The shop live streaming channel (S-Channel) and the third-party celebrity live streaming channel (T-Channel). Over half of the e-commerce manufacturers have established their own shop live streaming channels to facilitate product sales, thus being referred to as SLSC-manufacturers throughout this paper. Despite possessing their dedicated S-Channels, these manufacturers occasionally resort to T-Channel for conducting product sales through live streams. Consequently, it is imperative for SLSC-manufacturers to devise effective strategies that enable a rational integration of T-Channel.Drawing on the real context of e-commerce live streaming, consumer uncertainty and waiting costs are incorporated to differentiate between S-Channel and T-Channel, thereby influencing consumers' preference choices and SLSC-manufacturers' decision-making regarding the introduction of T-Channels. If the SLSC-manufacturer opts against introducing T-Channel, they will solely rely on S-Channel for product sales. However, if they choose to introduce T-Channel, two potential strategies emerge: a dual-channel strategy (retaining S-Channel and introducing T-Channel) or a single-channel strategy (suspending S-Channel while introducing T-Channel). Ultimately, employing backward induction analysis enables us to determine equilibrium in both scenarios.The primary findings are outlined below. (1) Whether adopting a dual-channel or single-channel strategy, the SLSC-manufacturer can achieve higher pricing for their product by introducing a T-Channel with low waiting costs. (2) If the SLSC-manufacturer adopts a single-channel strategy (suspending S-Channel and introducing T-Channel), the final equilibrium strategy will only be influenced by the waiting cost and commission rates of T-Channel. When both the waiting cost and commission rates of T-Channel are low, the SLSC-manufacturer can achieve "win-win" cooperation with the celebrity live streamer through a single-channel strategy under the "pure commission rate" charging mode. Otherwise, the SLSC-manufacturer will not choose to introduce T-Channel. (3) If the SLSC-manufacturer adopts a dual-channel strategy (retaining S-Channel while introducing T-Channel), the final equilibrium strategy will primarily depend on consumer uncertainty regarding S-Channel, waiting costs, and commission rates associated with T-Channel, as well as charging modes for celebrity live streamers' services. When consumer uncertainty in the S-Channel is high, and both waiting costs and commission rates in the T-Channel are low, the equilibrium strategy will degenerate to non-introduction of the T-Channel under “pure commission rates” charging mode, resulting in a “lose-lose” for both the SLSC-manufacturer and celebrity live streamer. Interestingly, switching to a “commission rate & fixed fee” charging mode in this aforementioned scenario allows both SLSC manufacturers and celebrity live streamer to achieve “win-win” cooperation through that dual-channel strategy.

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    Competition of Green Supply Chains and R&D Cost-sharing within a Chain: Based on Noncooperative-Cooperative Biform Game Approach
    Mengqi Li, Dengfeng Li, Jiangxia Nan
    2025, 33 (10):  339-349.  doi: 10.16381/j.cnki.issn1003-207x.2022.2073
    Abstract ( 45 )   HTML ( 0 )   PDF (3053KB) ( 26 )   Save

    With the prevalence of sustainable development, finding the balance between economic development and environment pollution is an issue that every enterprise in the supply chain needs to solve. The contradiction between high product green level and high green R&D cost leads to the decrease the enterprises' positivity of green technology R&D and profit. In order to meet the green product demands of consumers, many retailers, such as Walmart, have long been committed to help upstream manufacturers to ease the financial pressure by sharing the green R&D cost, which can encourage manufacturers to improve the level of green technology and realize the rational optimization of the supply chain resource. Considering the green competition, price competition and cooperation between manufacturers and retailers, it is worthwhile to explore how to determine the optimal price and the optimal level of green technology.For the competition of two green supply chains and the sharing cost of manufacturers and retailers, the equilibrium price and the optimal profit of supply chains are studied by using the noncooperative-cooperative biform game in this paper. In the noncooperative game part, choose wholesale price and retail price as strategies, which constitutes the competitive situation. In the cooperative game part, manufacturers and retailers optimize the level of green technology and the sharing proportion of green R&D cost. Two cooperative games are established to describe the competition of supply chains and the cooperation among supply chain members. Shapley value is used to distribute the profit of each supply chain. Based on the profit of the cooperative game, the Nash equilibrium strategy of supply chain members is obtained by constructing the non-cooperative game. The influence of the product green competitive intensity and cross price sensitivity coefficient on equilibrium strategy and optimal profit is analyzed through a numerical example.The results show that the green technology and the profit of supply chain members are positively correlated with the coefficient of green R&D cost. As the product green competitive intensity increases, the profit of supply chain members is reduced. And enterprises will reduce the investment in green technology, which leads to the lower green level of products. However, the product price competition can prompt manufacturers to produce products with high green level and raise product pricing. A new method is provided to study the management for green supply chains with coexistence of competition and cooperation.

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    Predicting and Managing E-waste with Characteristics of Generational Replacement: A Perspective of Small Data
    Fang Wang, Wenxin Cheng, Lean Yu, Rui Zha
    2025, 33 (10):  350-360.  doi: 10.16381/j.cnki.issn1003-207x.2023.0017
    Abstract ( 38 )   HTML ( 0 )   PDF (1506KB) ( 18 )   Save

    To address the issue of predicting the quantity of waste electronic products with small data, a prediction method based on the Susceptible-Infective-Removed (SIR) infectious disease model is proposed. Taking into account the small data characteristics of the time series of new generation electronic products, a Sales-Transfer-Adjustment (STa) optimization model with the minimum time-weighted average error is constructed. To estimate the parameters of the STa model, the Particle Swarm Optimization (PSO) algorithm is introduced. Furthermore, the reasonable lag time of the transfer quantity is determined via the concept of differential compensation prediction, which enhances the prediction accuracy of the new generation electronic product quantity. Based on the availability of electronic product data, the Estimation Model of Waste Quantity of Electronic Products (EWE) is used to predict the waste quantity of new generation electronic products. Through empirical analysis of 4 data sets of rural TV sets and mobile phones in China, it is found that the performance of the STa·PSO-EWE model is generally superior to that of other benchmark comparison models.

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    Bankruptcy Game of Water Resource Allocation in the Yellow River Basin Based on Subject Inequality
    Yan Song, Lu Zhang, Ming Zhang
    2025, 33 (10):  361-368.  doi: 10.16381/j.cnki.issn1003-207x.2022.2225
    Abstract ( 51 )   HTML ( 0 )   PDF (557KB) ( 17 )   Save

    In the context of the national strategy for the Yellow River basin's ecological protection and high-quality development, the problem of water allocation will come up again. To protect the environment and build a high-quality economy in the Yellow River Basin, water resources must be shared in a fair and reasonable way. The nine provinces (districts) of the Yellow River water supply area are taken as the object of study, and 2020 is taken as the current water use year in this paper. Based on the bankruptcy theory and Nash bargaining game, a model is constructed for water resources allocation in the Yellow River Basin. The model takes account of the inequality of the subject. The system of indicators for assessing each province’s bargaining power is established based on respect for historical and current water use, sustainable development, fairness, and maximization of benefits. And the projection pursuit model of the group search optimization algorithm is used to measure bargaining power. Then, the optimal water resource allocation scheme in the Yellow River basin is obtained based on the linking function of the satisfaction function. The findings indicate that: (1) The proposed water allocation scheme considers the historical allocation result, current water use, economic development, and water reliance of each province. Shandong and Qinghai are at the extremes of high and low bargaining power, respectively. (2) The water allocation scheme obtained using the bankruptcy game maximizes water users’ satisfaction with low water demand and high bargaining power. Water allocation decreases as water demand decreases, but satisfaction increases when bargaining power remains the same. (3) The water resource allocation scheme obtained using the bankruptcy game is the optimal solution based on the utility function of the water allocated to each province with respect to interest and subject inequality. It improves the fairness, rationality, and acceptability of water resource allocation in the Yellow River Basin and provides a new solution to the problem of conflicting water resource allocation in public basins.

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