E3S Web Conf.
Volume 214, 20202020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|Number of page(s)||9|
|Section||Machine Learning and Energy Industry Structure Forecast Analysis|
|Published online||07 December 2020|
Analysis on Poverty Reduction Effects and Its’ Influencing Factors of Farmer Cooperatives in Contiguous and Extremely Poor Areas Based on the Investigation of Qinling-Bashan Mountainous Regions in Sichuan Province
College of Management, Sichuan Agricultural University, Chengdu, China
Based on the perspective of income increase of farmer cooperatives’ members, this paper uses the micro investigation data of 33 cooperatives and 394 members in Qinling-Bashan Mountainous Regions in Sichuan Province, to examine the poverty reduction effects of cooperatives and empirically analyze the factors influencing the poverty reduction effects of cooperatives by the orderly probit model. The results show that the income increase of most members is obvious, which is conducive to the in-depth development of local poverty alleviation. Besides, 9 variables play a significant role in promoting the income increase of members, which are health status, education level, number of labor, proportion of agricultural income, income satisfaction, cooperatives with county demonstration level, “Three Products and One Standard” certification, profit returned by stock/volume, member’s right to speak. Compared with Guangyuan, the income increase of members in Bazhong is more significant. However, the poor families and the distance from the market significantly inhibit the income increase of members, which means the cooperatives also face the challenges in poverty reduction. Finally, this paper puts forward policy suggestions for promoting the poverty reduction of cooperatives in Qinling-Bashan Mountainous Regions in Sichuan Province, such as cultivating and expanding cooperatives, strengthening the capacity of cooperatives to reduce poverty and improving the poverty reduction environment of cooperatives.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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