制造商竞争下考虑技术效率不确定的绿色技术创新决策

doi:10.16381/j.cnki.issn1003-207x.2024.0633

摘要/Abstract

摘要：

为了探讨制造商竞争下技术效率不确定对绿色技术创新决策的影响，运用博弈论方法构建了一个由单一技术服务商，单一零售商和两个制造商组成的供应链模型。研究结果表明：（1）若绿色制造商采取自主创新策略，技术效率平均水平的提高对渠道成员有利，但技术效率波动程度的提高对渠道成员不利；（2）若绿色制造商采取购买技术策略，技术效率平均水平和波动程度对渠道成员的影响还与研发效率有关；（3）当研发效率较高时，绿色制造商倾向于采取购买技术策略，否则会采取自主创新策略。本文还将研究拓展到两个制造商都进行技术创新的情形。结果表明，两个制造商总是会采取相同的技术创新策略；但由于技术效率波动程度的提高，风险规避程度将对制造商决策产生实质性影响。上述研究结论对绿色供应链管理实践（特别是制造商的绿色技术创新决策）具有重要指导意义。

关键词: 绿色供应链, 制造商竞争, 技术创新, 技术效率不确定

Abstract:

Due to government policy guidance and the increasing environmental awareness among consumers， more and more consumers are willing to pay for green technological innovation， which has prompted many manufacturers to place greater emphasis on green technological innovation. Manufacturers can obtain green technologies not only through independent innovation but also by acquiring technologies through purchase. However， the existence of uncertainty in technological efficiency has， to some extent， affected manufacturers' willingness to engage in independent innovation and has even hindered the promotion of green technologies. In order to explore the decision-making of channel members under different technological innovation modes under manufacturers competition and technological efficiency uncertainty， as well as the impact of technological efficiency uncertainty on manufacturers' preferences for technological innovation modes， a supply chain model consisting of a single technology service provider， a single retailer， and two manufacturers （one green manufacturer and one conventional manufacturer） has been constructed， and the model is analyzed using game theory methods. The results show that： when only the green manufacturer has technological innovation，（1） if the green manufacturer adopts the independent innovation strategy， the improvement of the average technical efficiency is beneficial to the channel members， but the improvement of the fluctuation degree of technical efficiency is unfavorable to the channel members；（2） If the green manufacturer adopts the purchase technology strategy， the impact of the average level and fluctuation degree of technical efficiency on channel members is also related to R&D efficiency. （3） When the R&D efficiency is high， the green manufacturer is more inclined to adopt the purchase technology strategy， otherwise it will adopt the independent innovation strategy. In the model extension section， the robustness of the main conclusions from the previous discussion under the scenario where the manufacturer has exclusive retailers is verified firstly. Then， the situation where both manufacturers engage in technological innovation are explored. The results show that both manufacturers always adopt the same technological innovation strategy. However， due to the increase in the fluctuation of technical efficiency， the degree of risk aversion will have a substantial impact on manufacturers' decision-making. The conclusions have important guiding significance for green supply chain management practices， particularly in the decision-making related to green technological innovation by manufacturers.

Key words: green supply chain, manufacturer competition, technological innovation, technical efficiency uncertainty

中图分类号:

F274

林志炳,蔡伟军,沈崇杰. 制造商竞争下考虑技术效率不确定的绿色技术创新决策[J]. 中国管理科学, 2026, 34(7): 264-276.

Zhibing Lin,Weijun Cai,Chongjie Shen. Green Technology Innovation Decision-making Considering Technical Efficiency Uncertainty under Manufacturer Competition[J]. Chinese Journal of Management Science, 2026, 34(7): 264-276.

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参考文献 22

[1]	余东华，吕逸楠. 政府不当干预与战略性新兴产业产能过剩——以中国光伏产业为例［J］. 中国工业经济， 2015（10）： 53-68.
	Yu D H， Lu Y N. Government improper intervention and overcapacity of strategic emerging industries：A case study of Chinese photovoltaic industry［J］. China Industrial Economics， 2015（10）： 53-68.
[2]	Yang F， Kong J， Liu T， et al. Cooperation and coordination in green supply chain with R&D uncertainty［J］. Journal of the Operational Research Society， 2022， 73（3）： 481-496.
[3]	Chen N， Cai J， Govindan K. Decision analysis of supply chain considering yield uncertainty and CSR under different market power structures［J］. Journal of Cleaner Production， 2024， 434： 139006.
[4]	Zheng W， Li B， Song D. The optimal green strategies for competitive ocean carriers under potential regulation［J］. European Journal of Operational Research， 2022， 303（2）： 840-856.
[5]	Bhaskaran S R， Krishnan V. Effort， revenue， and cost sharing mechanisms for collaborative new product development［J］. Management Science， 2009， 55（7）： 1152-1169.
[6]	Zhou X， Yang S， Wang G. Impacts of knowledge spillovers and cartelization on cooperative innovation decisions with uncertain technology efficiency［J］. Computers & Industrial Engineering， 2020， 143： 106395.
[7]	Yan T， Ribbink D， Pun H. Incentivizing supplier participation in buyer innovation： Experimental evidence of non-optimal contractual behaviors［J］. Journal of Operations Management， 2018， 57（1）： 36-53.
[8]	Fu K， Li Y， Mao H， et al. Firms’ production and green technology strategies： The role of emission asymmetry and carbon taxes［J］. European Journal of Operational Research， 2023， 305（3）： 1100-1112.
[9]	李春雨，张翠华，王小旭. 差异性授权下考虑制造商研发的技术供应链质量控制策略［J］. 计算机集成制造系统， 2023， 29（8）： 2846-2861.
	Li C Y， Zhang C H， Wang X X. Quality control strategy of technology supply chain under considering manufacturer’s R & D under differential licensing［J］. Computer Integrated Manufacturing Systems， 2023， 29（8）： 2846-2861.
[10]	夏西强，黄文心. 外包制造下政府补贴对低碳供应链影响分析［J］. 运筹与管理， 2019， 28（12）： 73-80.
	Xia X Q， Huang W X. Analyzing the effect of government subsidy on the low-carbon supply chain based on outsourcing manufacturing［J］. Operations Research and Management Science， 2019， 28（12）： 73-80.
[11]	Ouyang J， Ju P. The choice of energy saving modes for an energy-intensive manufacturer under non-coordination and coordination scenarios［J］. Energy， 2017， 126： 733-745.
[12]	熊峰，魏瑶瑶，王琼林，等. 考虑成员风险规避的双渠道绿色供应链定价与绿色投入决策研究［J］. 中国管理科学， 2022， 30（8）： 267-276.
	Xiong F， Wei Y Y， Wang Q L， et al. Study on pricing and green input decision of dual-channel green supply chain based on risk aversion of members［J］. Chinese Journal of Management Science， 2022， 30（8）： 267-276.
[13]	Ouyang J， Fu J. Energy-saving and subsidy policy decisions for double competition manufacturers［J］. Energy Economics， 2023， 117： 106410.
[14]	欧阳建军，沈厚才，罗子灿. 竞争环境下高耗能制造企业节能方式选择［J］. 系统工程理论与实践， 2018， 38（10）： 2564-2577.
	Ouyang J J， Shen H C， Luo Z C. The choice between energy saving modes for competing manufactures［J］. Systems Engineering-Theory & Practice， 2018， 38（10）： 2564-2577.
[15]	Zhang Q， Zhang J， Zaccour G， et al. Strategic technology licensing in a supply chain［J］. European Journal of Operational Research， 2018， 267（1）： 162-175.
[16]	Zhou X， Yang S， Wang G. Impacts of knowledge spillovers and cartelization on cooperative innovation decisions with uncertain technology efficiency［J］. Computers & Industrial Engineering， 2020， 143： 106395.
[17]	Ouyang J， Fu J. Optimal strategies of improving energy efficiency for an energy-intensive manufacturer considering consumer environmental awareness［J］. International Journal of Production Research， 2020， 58（4）： 1017-1033.
[18]	简惠云，胡小丽. 基于风险规避和公平关切的第三方环境服务决策分析［J］. 工业技术经济， 2019， 38（10）： 41-48.
	Jian H Y， Hu X L. Decision-making analysis of third party environmental services based on risk avoidance and fair concern［J］. Journal of Industrial Technological and Economics， 2019， 38（10）： 41-48.
[19]	Wang M， Cheng Z， Li Y， et al. Impact of market regulation on economic and environmental performance： A game model of endogenous green technological innovation［J］. Journal of Cleaner Production， 2020， 277： 123969.
[20]	Choi T M， Ma C， Shen B， et al. Optimal pricing in mass customization supply chains with risk-averse agents and retail competition［J］. Omega， 2019， 88： 150-161.
[21]	王玉燕，高俊宏，孙煜林，等. 基于搭便车引发需求转移和质量感知的双渠道供应链服务与定价研究［J］.中国管理科学， 2026， 34（3）： 253-262.
	Wang Y Y， Gao J H， Sun Y L， et al. Research on service and pricing in a dual-channel supply chain based on demand shift and quality perception induced by free-riding behavior［J］.Chinese Journal of Management Science， 2026， 34（3）： 253-262.
[22]	李思凝，陈凯. 竞争环境下新能源汽车嵌入技术服务的定价策略［J］.系统管理学报， 2020， 29（3）： 561-572.
	Li S N， Chen K. Pricing strategy of new energy vehicle embedded technical service providers under competitive environmen［J］. Journal of Systems & Management， 2020， 29（3）： 561-572.