Abstract

Weather risk causes uncertain crop yield and price and further influences the willingness of farmers to participate in contract farming and honour the contract. In this study, we investigate the optimal decisions for contract farming between a profit-maximizing manufacturer and multiple identical farmers under weather risk, using a game-theoretical approach. We discuss two different cases. In the first case, the manufacturer sets a contract price to ensure farmers to honour the contract under any weather condition. While in the second case, the manufacturer sets a lower contract price only to guarantee that farmers will not renege under certain weather condition but has a second chance to purchase products from the reneged farmers at a renegotiated price. We derive the optimal decisions of the manufacturer in both cases and show that the manufacturer gains much more profits in the second case, and therefore, the decisions in the second case are optimal. Moreover, we numerically investigate the sensitivity of the effectiveness of contract farming and the manufacturer’s optimal decisions to model parameters and get more managerial implications.

Highlights

  • Contract farming is widely adopted in developed countries

  • Weather risk leads to uncertainty of both the yield and price and further influences the willingness of farmers to participate in contract farming and honour the contract

  • We develop a multistage game between a profit-maximizing manufacturer and multiple identical farmers under weather risk and investigate the optimal decisions of the manufacturer, considering the behaviour of farmers

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Summary

Introduction

Contract farming is widely adopted in developed countries. E firm benefits from the relationship as it secures the quantity and quality of the crop. Contract farming brings several benefits to the farmer and the firm. It helps to reduce or even eliminate certain expenses such as transportation, storage, and spoilage [4]. For example, drought, frost, hail, and extreme temperatures, may reduce the yield of crops sharply [7,8,9] and lead to supply shortage and price inflation on the spot market, incurring huge losses to the agricultural sector. Wang et al [11] Wuepper and Sauer [12] Michelson [13] Bellemare and Novak [14] Niu et al [17] Huh et al [4] Federgruen et al [18] Our study

Methodology
Literature Review
The Model
Numerical Analysis
Managerial Implications
Conclusions
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