Internet Use and Farmers’ Common Prosperity: The Role of Employment Quality and Digital Literacy
DOI:
https://doi.org/10.52152/800011Keywords:
Internet use; Common prosperity for farmers; Employment quality; Digital literacy; E-ndogenous switching regression modelAbstract
Based on the data of 3965 sample farmers in China Family Panel Survey (CFPS) Datab-ase in 2020, the endogenous switching regression model (ESR), the intermediary effect model an-d the threshold effect model are used to empirically analyze the impact and mechanism of Internet use on the common prosperity of farmers. The research results show that: (1) Internet use has signi-ficantly improved the common prosperity of farmers. (2) Internet use promotes the common pros-perity of farmers by improving employment quality. (3) The impact of Internet use on the commo-n prosperity of farmers displays stage characteristics due to variations in individuals' digital literac-y. Based on the above conclusions, it is recommended to speed up the construction of rural digital infrastructure, reduce the cost of Internet use for farmers, improve farmers' digital literacy, expan-d farmers' employment opportunities, and improve the quality of farmers' employment, so as to eff-ectively promote farmers to achieve common prosperity.
References
Li Ning. The internal mechanism and realization path of urban-rural integration and development driving common prosperity [J]. Journal of Agriculture and Forestry Economic Management, 2022, 21(04): 473-480.
Li Haijian, Li Zhenzhen. Digital economy promotes common prosperity: theoretical mechanism and strategic selection [J]. Reform, 2023(12): 12-27.
Yu Lerong, Zhang Lianghua, Liao Yangxin. Does popularizing the use of the Internet help to narrow the internal income gap in rural areas? - Empirical evidence from CLDS village-level data [J]. Western Forum, 2023, 33(04): 1-16.
Zhu Jialiang, Ji Yang, Chen Shaohua, etc. Digital economy and common prosperity [J]. China's Economic Issues, 2022(02): 1-13.
Xu Shengxiang, Liu Chuanjiang. The income premium of the use of the Internet - on the urban-rural income gap and common prosperity [J]. Soft Science, 2023, 37(06): 81-88+122.
Yu Yunfeng. How the digital divide affects rural household consumption - verification from CFPS data [J]. Zhejiang Journal, 2023, (05): 186-194.
Liu Ziyu, Luo Mingzhong. The impact of the use of digital technology on the common prosperity of farmers: "gap" or "bridge"? [ J]. Journal of Huazhong Agricultural University (Social Science Edition), 2023(01): 23-33.
Feng Lubing, Guo Dongjie. The impact and mechanism of Internet use on farmers' income increase [J]. Zhejiang Social Sciences, 2023(02): 25-35+155-156.
Siaw A, Jiang Y, Twumasi M A, et al. The impact of internet use on income: The case of rural Ghana[J]. Sustainability, 2020, 12(8): 3255.
Zhang Bing, Li Na. Digital inclusive finance, non-agricultural employment and increase of farmers' income - an empirical analysis based on the intermediary effect model [J]. Research on Agricultural Modernization, 2022, 43(02): 249-260.
Zhou X, Cui Y, Zhang S. Internet use and rural residents' income growth[J]. China Agricultural Economic Review, 2020, 12(2): 315-327.
Zhang A, Chandio A A, Yang T, et al. Examining how internet use and non-farm employment affect rural households' income gap? Evidence from China[J]. Frontiers in Sustainable Food Systems, 2023, 7: 1173158.
Zhu Shubin, Xiong Feixue, Zhu Jian. The impact of Internet use on farmers' income: a study on the intermediary effect based on social capital [J]. Journal of Agriculture and Forestry Economic Management, 2022, 21(05): 518-526.
Shangguan L, Peng X. Impact of Internet use on the income gap among rural residents: A social capital-based analysis of t He mediating effect[J]. 2021.
Li Lili, Mei Yan, Zhang Zhonggen. Internet popularization, market segmentation and farmers' operating income [J]. Business Economy and Management, 2022(07): 18-28.
Liu Ru, Zhang Yiwei. Digital economy and common prosperity - an empirical study based on the spatial threshold effect [J]. Journal of Southwest University for Nationalities (Humanities and Social Sciences Edition), 2022, 43(03): 90-99.
Xia Jiechang, Liu Cheng. Digital economy empowers common prosperity: action path and policy design [J]. Economic and Management Research, 2021, 42(09): 3-13.
Shibo, Hu Xijuan. Mechanism and path of digital economy to promote common prosperity from the perspective of high-quality development [J]. Reform, 2022(08): 76-86.
Huang Qinghua, Pan Ting, Shi Peihao. The impact of digital economy on the income gap between urban and rural residents and its mechanism [J]. Reform, 2023(04): 53-69.
Yu Lerong, Zhang Lianghua, Liao Yangxin. Does popularizing the use of the Internet help to narrow the internal income gap in rural areas? - Empirical evidence from CLDS village-level data [J]. Western Forum, 2023, 33(04): 1-16.
Zhou Yunbo, Yang Jiaqi. The impact of Internet use on the resilience of rural families' relative poverty - an empirical analysis based on CFPS data [J]. Journal of Yunnan University of Finance and Economics, 2022, 38(10): 79-96.
Yang Jiaqi, Zhang Jiacai, Yu Dianfan. Connotative development of Internet use, agricultural production efficiency and rural revitalization [J]. Journal of Huazhong Agricultural University (Social Science Edition), 2023(05): 53-65.
Zhang Bo, Guo Fang, Sun Lu. Formal system, informal system and rural internal income gap - based on the dimension of digital inclusive finance and social networks [J]. Southern Finance, 2023(04): 19-32.
Mo Rong, Li Fujun. Implement the employment priority strategy to help Chinese-style modernization [J]. Population and Economy, 2023(02): 7-13+26.
Zhang Hongru, Fu Cuigan. Coordinated development of employment quantity and quality from the perspective of common prosperity: generating logic and security system [J]. Jianghai Journal, 2023(01): 113-119+255.
Chen Weimin, Han Peipei. The impact of Internet use on the quality of personal employment - empirical analysis based on CFPS data [J]. Northwest population, 2023, 44(01): 1-14.
Qi Yudong, Liu Cuihua, Ding Shulei. Digital economic development, employment structure optimization and employment quality improvement [J]. Dynamics of Economics, 2020, (11): 17-35.
Zhao Jianguo, Zhou Deshui. Education human capital, Internet use and career choices for the new generation of migrant workers [J]. Agricultural Economic Issues, 2019(06): 117-127.
Mao Yufei, Zeng Xiangquan, Zhu Huilin. Internet use, employment decision-making and employment quality - empirical evidence based on CGSS data [J]. Economic Theory and Economic Management, 2019(01): 72-85.
Yao Zhi, Liu Jian, Zhong Cong. High-quality employment of the new generation of migrant workers: policy evolution, theoretical logic and international experience [J]. World Agriculture, 2023(07): 14-27.
Zhang Binbin. Expand employment and improve quality and promote common prosperity - with accelerating the solution of structural employment contradictions as the starting point [J]. Industrial Economy Review, 2022(02): 168-185.
Ling Long. Employment quality and subjective welfare of residents - an empirical study based on the dynamic survey of China's labor force [J]. Statistical Research, 2022, 39(10): 149-160.
Li Yi, Ke Jiesheng. The three-level digital divide: the income growth and income distribution effect of the rural digital economy [J]. Agricultural Technology and Economy, 2021(08): 119-132.
Wei Lu, Zhang Mingxin. The third digital divide: the knowledge gap on the Internet [J]. News and Communication Research, 2006(04): 43-53+95.
Xu Zhuqing, Zheng Fengtian, Chen Jie. "Digital divide" or "information dividend"? The effective supply of information and the sales price of farmers - an empirical study from a micro perspective [J]. Economics (Qaterly), 2013, 12(04): 1513-1536.
Sun Jiguo, Zhao Wenyan. How does digital financial literacy promote the common prosperity of farmers and rural areas [J]. Journal of Shanghai University of Finance and Economics, 2023, 25(03): 33-46.
Liu Song, Wei Binhui, Su Keyu. Internet use and farmers' agricultural mechanization selection - an intermediary effect perspective based on non-agricultural employment [J]. Labor Economics Research, 2021, 9(03): 101-122.
ZHANG, Jingna, ZHANG Xuekai, The impact of Internet use on the decision-making of farmland transfer and its mechanism: evidence from the CFPS data [J]. Chinese Rual Economy, 2020, (03): 57-77.
BAO Wen, ZHAO Chunming, Theoretical analysis and empirical evidence demonstrate the role of employment quality in promoting household consumption upgrading [J]. The Theory and Practice of Finance and Economics, 2024, 45(02): 121-127.
ZHAN Yunqiu, YANG Shuwen, The impact of digital economic development on improving employment quality in China [J]. Price: Theory & Practice, 2024, (03): 184-188.
Li Muchen, Feng Sixian. Digital inclusive finance, digital threshold and urban-rural income gap [J]. Management Comments, 2023, 35(06): 57-71.
Yang Ningze, Wang Yiwei, Sun Xuetao. Digital literacy and the common prosperity of farmers: the impact effect and its mechanism [J]. Journal of Guangdong University of Finance and Economics, 2023, 38(06): 21-32.
Wang Shumin, Qu Caiping, Wan Minghao. Digital literacy and farmers' wealth accumulation - based on China Rural Revitalization Comprehensive Survey (CRRS) data [J/OL]. Journal of Chongqing University of Industry and Commerce (Social Science Edition), 1-10.
Lokshin M, Sajaia Z. Maximum likelihood estimation of endogenous switching regression models[J]. The Stata Journal, 2004, 4(3): 282-289.
Wen Zhonglin, Ye Baojuan. Analysis of intermediary effects: method and model development [J]. Progress in Psychological Science, 2014, 22(05):731-745. HANSEN B E. Sample Splitting and Threshold Estimation[J]. Econometrica, 2000, 68(3): 575-603.
HANSEN B E. Sample Splitting and Threshold Estimation[J]. Econometrica, 2000, 68(3): 575-603.
Kakwani N. The relative deprivation curve and its applications[J]. Journal of Business & Economic Statistics, 1984, 2(4): 384-394.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Lex localis - Journal of Local Self-Government
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
