是什么促进了印度农业的生产合同?管理市场风险与利润导向

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY Agricultural Economics Pub Date : 2023-07-30 DOI:10.1111/agec.12791
Saroj, Kirtti Ranjan Paltasingh
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引用次数: 0

摘要

我们确定了影响农民对各种生产合同决策的因素,并明确关注管理市场风险或利润导向是否会促进订单农业(CF)。在控制了潜在的内生性之后,IV-Tobit 回归结果表明,农民的风险行为和利润导向是推动合同种植决策的重要因素。然而,我们观察到,利润导向的影响相对来说比风险管理动机的影响更大,这表明赚取更高的利润而不是管理市场风险是采用合同农业的主要目标。此外,农场规模、平均合同价格、教育程度、年龄和推广服务等其他因素在 CF 参与中也发挥着重要作用。根据研究结果,主要的政策影响要求加强 CF 网络,鼓励农民将农业商业化,因为这有利于进入市场并获得更高的利润。此外,农业企业应与农民分担更多的市场风险,邀请规避风险的小农加入商业化农业的行列。
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What promotes production contract in Indian agriculture? Managing market risk versus profit orientation

We identify factors influencing farmers’ decision-making on various production contracts and are explicitly concerned with whether managing market risk or profit orientation promotes contract farming (CF). After controlling for potential endogeneity, the IV-Tobit regression results indicate that farmers’ risk behavior and profit orientation are vital factors driving CF participation decisions. However, we observed that the impact of profit orientation is relatively more substantial than the risk management motive, suggesting that earning a higher profit, rather than managing market risks, is the primary objective of CF adoption. In addition, other factors such as farm size, mean contract price, education, age, and extension services play a significant role in CF participation. The major policy implications, based on results, call for enhancing the CF network and encouraging farmers to commercialize agriculture as it facilitates access to the market and higher profits. Further, agribusiness firms should share more market risks with farmers to invite risk-averse smallholders into the fold of commercial farming.

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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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