Analysis on the Income Effect of Farmers’ Cooperative Management: Based on the Chinese Practice

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Biometrics Pub Date : 2020-11-06 DOI:10.5539/ijbm.v15n12p103
Wen Hua
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Abstract

This paper makes a theoretical analysis of farmers' income and career choice under the two modes of traditional and cooperative management, demonstrates the "direct effect" and "indirect effect" of cooperative operation on farmers' income, and puts forward three influence mechanisms: (1) cooperative operation improves traditional agricultural operation through institutional advantages, making agricultural economy obtain Pareto improved income by operational efficiency; (2) cooperative operation can adjust the imbalance between supply and demand of skilled labor between agricultural and non-agricultural sectors, which makes agricultural economy obtain Pareto improvement income by optimizing the use of labor elements; (3) cooperative operation reduces the skill leverage of non-agricultural employment of labor force under the traditional agricultural management model by providing more career choices for labor force, and promotes the equal distribution of farmers' income. On this basis, this paper apply the 1995-2018 National Household Survey Data, using the continuous DID model to verify the mechanism of cooperative operation on farmers' income.
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农民合作经营的收入效应分析——基于中国的实践
本文对传统经营和合作经营两种模式下农民的收入和职业选择进行了理论分析,论证了合作经营对农民收入的“直接效应”和“间接效应”,并提出了三种影响机制:(1)合作经营通过制度优势改善传统农业经营,使农业经济通过经营效率获得帕累托改善收入;(2)合作经营可以调节农业和非农业部门熟练劳动力的供需失衡,使农业经济通过优化劳动要素的使用获得帕累托改善收入;(3)合作经营通过为劳动力提供更多的职业选择,降低了传统农业经营模式下劳动力非农业就业的技能杠杆,促进了农民收入的公平分配。在此基础上,本文运用1995-2018年全国入户调查数据,采用连续DID模型验证合作经营对农民收入的影响机制。
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来源期刊
International Journal of Biometrics
International Journal of Biometrics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
1.50
自引率
0.00%
发文量
46
期刊介绍: Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.
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