印度农业信贷和作物生产力:来自社会各群体小农和边缘农民的实地证据

IF 2.4 Q2 AGRICULTURAL ECONOMICS & POLICY Journal of Agribusiness in Developing and Emerging Economies Pub Date : 2022-09-20 DOI:10.1108/jadee-05-2022-0092
I. Yadav, M. Rao
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引用次数: 3

摘要

本研究考察了机构农业信贷对不同社会群体的小农和边缘农民的水稻、棉花、小麦和豆类等主要作物生产力的影响。设计/方法/方法社会经济变量的横断面实地数据收集来自印度三个邦,来自不同社会群体的约400名小农和边缘农民,采用多阶段分层随机和有目的抽样,通过结构化问卷采访。采用倾向得分匹配(PSM)方法,将样本农民分为处理组和对照组,以作物生产力为结果变量,以获得机构信贷为处理变量,计算平均处理效果(ATE)和对被处理者的平均处理效果(ATET)。研究结果PSM估计显示,所有选定作物的ATE和ATET在处理组明显高于-à-vis未处理组,这表明机构农业信贷对作物生产力具有统计上显著的积极影响。研究的局限性/意义类似的研究可以扩展到印度更多的作物和地区,以实现普遍覆盖。印度的农业信贷政策一直是增加机构农业信贷的获取和可用性。这导致正规农业信贷流向农业部门的情况普遍增加。然而,机构信贷和作物生产力的影响,特别是对社会各群体的小农和边缘农民的影响,在印度没有很好地利用实地数据认识到。因此,这项实地数据研究通过利用来自小农和边缘农民的最新调查数据,提供来自不同社会群体的田间新证据,从而有助于现有的研究,这具有重要的政策意义。
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Agricultural credit and productivity of crops in India: field evidence from small and marginal farmers across social groups
PurposeThis work examines the impact of institutional agricultural credit on crop productivity of some major crops such as paddy, cotton, wheat and pulses for small and marginal farmers across various social groups.Design/methodology/approachThe cross-sectional field data on socio economic variables was collected from three Indian states from about 400 small and marginal farmers across various social groups using multi-stage stratified random and purposive sampling through a structured questionnaire by interviewing. The method of propensity score matching (PSM) was employed to calculate average treatment effect (ATE) and average treatment effect on the treated (ATET) by categorising sample farmers as treatment group and control group where crop productivity was considered as outcome variable and access to institutional credit was considered as treatment variable.FindingsThe PSM estimates reveal that ATE and ATET for all the selected crops are found to be significantly higher for the treated group vis-à-vis non-treated group suggesting that institutional agricultural credit has a statistically and significant positive impact on the crop productivity.Research limitations/implicationsSimilar study can be extended for more crops and across regions in India for a universal coverage.Originality/valueThe agricultural credit policy of India has been to increase the access and availability of institutional farm credit. This has led to in general increase in the flow of formal farm credit to agricultural sector. However, the impact of institutional credit and crop productivity especially for small and marginal farmers across social groups is not well recognized in India using field data. Accordingly, this field data study contributes to the existing research by providing fresh evidence from field across social groups for both kharif and rabi crops using recent survey data from small and marginal farmers which has important policy implications.
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来源期刊
CiteScore
4.60
自引率
37.50%
发文量
58
期刊介绍: The Journal of Agribusiness in Developing and Emerging Economies publishes double-blind peer-reviewed research on issues relevant to agriculture and food value chain in emerging economies in Asia, Africa, Latin America and Eastern Europe. The journal welcomes original research, particularly empirical/applied, quantitative and qualitative work on topics pertaining to policies, processes, and practices in the agribusiness arena in emerging economies to inform researchers, practitioners and policy makers
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