Optimal Crop Choice, Irrigation Allocation, and the Impact of Contract Farming
Optimal Crop Choice, Irrigation Allocation, and the Impact of Contract Farming
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DOI：
10.1111/poms.12007
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发表时间：
2013-09-01
影响因子：
5
通讯作者：
Lall, Upmanu
中科院分区：
文献类型：
--
作者：
Huh, Woonghee Tim;Lall, Upmanu
气候变化和对粮食安全的担忧促使人们重新审视农业产品的供应链可靠性，订单农业作为应对气候和价格风险、同时促进作物多样化和提高用水效率的机制的潜在作用也正在显现。在这项研究中，考虑到农民在不同需水量的不同农作物之间分配土地的决策问题，因为农作物的子集可能与买方提供的远期合同相关。该问题包括决定在季节之前获得一定量的灌溉水容量，并将该容量分配为在季节期间向所选的每种作物施用的灌溉水。生长季节的降雨量和季末每种作物的市场价格被认为是随机变量。开发了两个随机规划模型来考虑该问题的各个方面，并了解减少该问题导致的市场价格不确定性的合同如何改变农民的决策。讨论了这些模型的结构特性，并通过应用印度拉贾斯坦邦 Ganganagar 地区的数据来说明选定的含义。
The changing climate and concerns over food security are prompting a new look at the supply chain reliability of products derived from agriculture, and the potential role of contract farming as a mechanism to address climate and price risk while contributing toward crop diversification and water use efficiency is also emerging. In this study, the decision problem of a farmer associated with allocating his land among different crops with varying water requirements is considered, given that a subset of the crops may be associated with a forward contract that is being offered by a buyer. The problem includes a decision to acquire a certain amount of irrigation water capacity prior to the season and to allocate this capacity as irrigation water to be applied during the season to each of the crops selected. Rainfall in the growing season and the market price of each crop at the end of the season are considered to be random variables. Two stochastic programming models are developed to consider facets of this problem and to understand how contracts that reduce market price uncertainty from the problem may change the farmer's decision. The structural properties of these models are discussed, and selected implications are illustrated through an application to data from the Ganganagar district in Rajasthan, India.