主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院
论文

规避农副产品原材料产出不确定风险的商业保险策略

展开
  • 1. 山东工商学院工商管理学院, 山东 烟台 264005;
    2. 南通大学商学院, 江苏 南通 226019;
    3. 上海财经大学国际工商管理学院, 上海 200433
陈静(1983-),女(汉族),湖北潜江人,山东工商学院工商管理学院,讲师,博士,研究方向:运营与供应链管理、风险管理,E-mail:jeanxi43@163.com.

收稿日期: 2015-06-25

  修回日期: 2017-07-10

  网络出版日期: 2018-08-22

基金资助

国家自然科学基金资助项目(71401082,71272016);教育部人文社会科学基金资助项目(14YJC630009)

A Business Insurance Strategy against Risks from Yield Uncertainty of Raw Materials for Farm and Sideline Products Production

Expand
  • 1. School of Business Administration, Shandong Technology and Business University, Yantai 264005, China;
    2. School of Business, Nantong University, Nantong 226019, China;
    3. School of International Business Administration, Shanghai University of Finance & Economics, Shanghai 200433, China

Received date: 2015-06-25

  Revised date: 2017-07-10

  Online published: 2018-08-22

摘要

为了保证产品质量、降低生产成本,许多农副产品制造商选择自己种植原材料以满足农副产品的加工生产。然而,农作物的产出易受不利事件(如各种自然灾害)的影响而具有不确定性。这种不确定性可能导致最终产品产出不足,严重时甚至引发财务危机。为了应对潜在风险,农副产品制造商可向金融机构购买商业保险。本文建立了单周期农副产品制造商的计划产量决策模型,通过研究制造商购买商业保险的边界条件及最优商业保险策略,分析商业保险策略在制造商规避原材料产出不确定风险时所具有的价值。研究结果表明:(1)只有保费的安全因子低于外部融资的单位惩罚成本时,制造商才会购买商业保险;(2)最优商业保险策略与计划产量无关;(3)最终产品单位净收益越低,商业保险的价值反而越高。

本文引用格式

陈静, 陈敬贤, 魏航 . 规避农副产品原材料产出不确定风险的商业保险策略[J]. 中国管理科学, 2018 , 26(6) : 39 -50 . DOI: 10.16381/j.cnki.issn1003-207x.2018.06.005

Abstract

In the modern farm and sideline products processing industry, as a production model, manufacturers tend to grow raw materials themselves to meet the needs of production. This production model is not only beneficial for enterprises to better control the final product quality, but also can effectively reduce the production costs. And yet, there is an indisputable fact that the yield of crops is susceptible to adverse events (such as natural disasters), resulting in uncertainty of production. This uncertainty can lead to a heavy shortage of final product output, and even develop financial crisis if it is getting serious enough. In response to potential risks, farm and sideline products manufacturers may purchase business insurance from financial institutions. However, the purchase of business insurance requires a certain amount of premium to be paid in advance. The premium should be a sunk cost to the enterprise concerned if there would be no adverse events during the whole planting period of crops. In view of the huge economic losses from sunk cost and little probability of adverse events, there emerges a crucial theme of production and operation management for boththe theoretical and practical circles to deal with; namely, whether or not manufacturers should avoid farm and sideline products raw materials yield uncertainty risks by means of purchasing business insurance, and, if purchasing, how for the manufacturers to establish the optimal strategy of business insurance.
Firstly in this paper, a single-period decision model is built up for farm and sideline products manufacturer's production planning yield. Based on the model, the influence of business insurance strategy on decisions of manufacturer's planning yield, and on expected profits as well, are analyzed respectively. In comparative studies, the boundary conditions and the optimal business insurance strategies in favor of manufacturers are explored to purchase the kind of insurance, and then the value of business insurance strategy is analyzed by means of which manufacturers avoid the uncertainty risks of raw material yield. The impact of market parameters on hedging values of the business insurance is further discussed, so as to help manufacturers better understand the operational mechanism of business insurance strategies in avoiding the uncertainty risks of raw material yield. By comparatively analyzing the optimal planning yield and the expected profit of the manufacturer under no-insurance case and purchasing business insurance case, the following conclusions are drawn:(1) Only when the security load of premium is lower than the external financing penalty cost per unit would a manufacturer buy the insurance; (2) The manufacturer's optimal business insurance strategy is independent of planned yield; (3) If the loss of the net profit caused by adverse events is higher than the external financing threshold, the manufacturer would transfer the very part of the loss which is higher than the threshold to the financial institution; And (4) the lower the net profit of the final products, the higher the value of insurance would be.

参考文献

[1] 吴晨,李怡洁,蔡菲菲."代工农业"的社会和环境风险-以新疆番茄制品供应链为例[J].中国农业信息,2016,(6):142-144.

[2] Kazaz B. Production planning under yield and demand uncertainty with yield-dependent cost and price[J]. Manufacturing & Service Operations Management, 2004, 6(3):209-224.

[3] Jones P C, Lowe T, Traub R D, et al. Matching supply and demand:The value of a second chance in producing hybrid seed corn[J]. Manufacturing & Service Operations Management, 2001, 3(2):116-130.

[4] Kazaz B. Pricing and production planning under supply uncertainty[R].Working paper, Whitman School of Management,Syracuse University, 2008.

[5] 赵霞, 吴方卫.随机产出与需求下农产品供应链协调的收益共享合同研究[J].中国管理科学, 2009, 17(5):88-95.

[6] 凌六一,郭晓龙,胡中菊,等.基于随机产出与随机需求的农产品供应链风险共担合同[J].中国管理科学, 2013, 21(2):50-57.

[7] 张文杰,骆建文.随机产出风险下的供应链协调研究[J].系统管理学报, 2013, 22(1):133-137.

[8] Xu He. Managing production and procurement through option contracts in supply chains with random yield[J]. International Journal of Production Economics, 2010,126(2):306-313.

[9] Buzacott J, Yan Houmin, Zhang Hanqin. Risk analysis of commitment-option contracts with forecast updates[J]. ⅡE Transactions, 2011,43(6):415-431.

[10] Wang Qunzhi, Chu B, Wang Jian, et al. Risk analysis of supply contract with call options for buyers[J]. International Journal of Production Economics, 2012, 139(1):97-105.

[11] Hu Fei, Lim C C, Lu Zudi. Optimal production and procurement decisions in a supply chain with an option contract and partial backordering under uncertainties[J]. Applied Mathematics and Computation, 2014, 232:1225-1234.

[12] Chen Kebing, Yang Lei. Random yield and coordination mechanisms of a supply chain with emergency backup sourcing[J]. International Journal of Production Research, 2014, 52(16):4747-4767.

[13] Giri B C, Bardhan S, Maiti T. Coordinating a three-layer supply chain with uncertain demand and random yield[J]. International Journal of Production Research, 2016, 54(8):2499-2518.

[14] Li Jicai, Zhou Yongwu, Huang Wenyan. Production and procurement strategies for seasonal product supply chain under yield uncertainty with commitment-option contracts[J]. International Journal of Production Economics, 2017, 183:208-222.

[15] 何波,张霞.随机产出下数量柔性采购策略研究[J].中国管理科学, 2017, 25(5):52-60.

[16] Dong Lingxiu, Tomlin B. Managing disruption risk:The interplay between operations and insurance[J]. Management Science, 2012. 58(10):1898-1915.

[17] Güler M G, Bilgiç T. On coordinating an assembly system under random yield and random demand[J]. European Journal of Operational Research, 2009, 196(1):342-350.

[18] Bowers N L. Actuarial mathematics[M]. Itasca, Ill.:Society of Actuaries, 1986.

[19] Cummins J D. Statistical and financial models of insurance pricing and the insurance firm[J]. Journal of Risk and Insurance, 1991, 58(2):261-302.
文章导航

/