Analysis on the Income Increasing Effect of Farmers’ Professional Cooperatives in Poor Areas: A Case Study of Qinba Mountain Area of Sichuan Province
Feng Xu, Xinhong Fu, Houjian Li
Available Online 7 January 2020.
- https://doi.org/10.2991/aebmr.k.191225.135How to use a DOI?
- farmers’ professional cooperatives, income increasing effect, propensity score matching, poor areas, Qinba mountains
- As one of the important new agricultural operators in China, farmers’ professional cooperatives (hereinafter referred to as cooperatives) is an important carrier to increase the income of farmers and promote poverty alleviation. The effect of income increase of cooperatives directly affects the process of poverty alleviation in poor areas. Therefore, based on the survey data of 700 households in poverty-stricken county of Qinba mountain area of Sichuan province, this paper used the propensity score matching method (PSM) to analyze the income increasing effect of cooperatives in poverty-stricken areas and explore the influence of cooperatives on household agricultural net income. It is found that cooperatives in Qinba mountainous area of Sichuan province have a significant role in promoting the increase of farmers’ agricultural net income, and there are differences in the effect of income increase among different income groups. Whether the local farmers have received technical training, education, health status, and distance to the county are all factors that affect the local farmers to join the cooperatives.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Feng Xu AU - Xinhong Fu AU - Houjian Li PY - 2020 DA - 2020/01/07 TI - Analysis on the Income Increasing Effect of Farmers’ Professional Cooperatives in Poor Areas: A Case Study of Qinba Mountain Area of Sichuan Province BT - Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019) PB - Atlantis Press SP - 736 EP - 740 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.191225.135 DO - https://doi.org/10.2991/aebmr.k.191225.135 ID - Xu2020 ER -