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Exploring the Income-Increasing Benefits of Rural E-Commerce in China: Implications for the Sustainable Development of Farmers

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  • Hailan Qiu

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Xueyi Zhang

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Mingrui Feng

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Zhenquan Zhang

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Jiawei Wang

    (School of Digital Economy, Jiangxi Open University, Nanchang 330046, China)

  • Zhipeng Wang

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

Abstract

The slowdown in income not only hinders the sustainable development of farmers but also exacerbates ecological and environmental problems. Likewise, the digital economy model represented by e-commerce has become a key path for growing farmers’ income. This article is based on 2020 China Rural Revitalization Survey data and uses the OLS and mediation effect models to examine the impact and mechanism of e-commerce operations on farmers’ income. The research results indicate that e-commerce operations can significantly improve the income level of farmers. After robustness and endogeneity tests, this conclusion still holds. The mechanism analysis results indicate that e-commerce operations promote farmers’ income growth by enhancing information acquisition, reducing operating costs, and enhancing financial support. The results of the heterogeneity analysis indicate that the impact of e-commerce on farmers’ income is heterogeneous in terms of income structure, education level, and regional distribution. Specifically, e-commerce significantly increases farmers’ agricultural operating income, non-agricultural operating income, and transfer income but significantly reduces their wage income. At the same time, e-commerce has a more significant income-increasing effect on highly educated and central and western farmers. Therefore, in promoting the development of a rural digital economy, it is necessary to improve the supporting facilities of e-commerce in rural areas; strengthen the supply of information, technology, capital, talent, and other elements; continue to improve the inclusiveness of rural e-commerce; and promote the sustainable growth of farmers’ income. The above findings not only provide new channels and ideas for farmers to increase income through e-commerce operations, but also help relevant decision-making departments to formulate new policies to promote farmers’ income growth and the development of e-commerce in China.

Suggested Citation

  • Hailan Qiu & Xueyi Zhang & Mingrui Feng & Zhenquan Zhang & Jiawei Wang & Zhipeng Wang, 2024. "Exploring the Income-Increasing Benefits of Rural E-Commerce in China: Implications for the Sustainable Development of Farmers," Sustainability, MDPI, vol. 16(17), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7437-:d:1465963
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    1. Jiantuo Yu, 2013. "Multidimensional Poverty in China: Findings Based on the CHNS," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 315-336, June.
    2. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    3. Nanak Kakwani & Xiaobing Wang & Ning Xue & Peng Zhan, 2022. "Growth and Common Prosperity in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(1), pages 28-57, January.
    4. Gao, Yanyan & Zang, Leizhen & Sun, Jun, 2018. "Does computer penetration increase farmers’ income? An empirical study from China," Telecommunications Policy, Elsevier, vol. 42(5), pages 345-360.
    5. Qi, Jiaqi & Zheng, Xiaoyong & Guo, Hongdong, 2019. "The formation of Taobao villages in China," China Economic Review, Elsevier, vol. 53(C), pages 106-127.
    6. Nerine Mary George & Vinit Parida & Tom Lahti & Joakim Wincent, 2016. "A systematic literature review of entrepreneurial opportunity recognition: insights on influencing factors," International Entrepreneurship and Management Journal, Springer, vol. 12(2), pages 309-350, June.
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