Author:
Zhou Xinxin,Chen Tong,Zhang Bangbang
Abstract
In this study, to discover how the growth of digital agriculture has impacted agricultural green total factor productivity (AGTFP), we take panel data from 2011 to 2019 for 30 Chinese provinces as the research object, measure the growth of AGTFP and digital agriculture development using the SBM-ML and entropy method, and use a fixed effect model to analyze the effects of digital agriculture development on AGTFP. The results demonstrate that (1) from the time-series characteristics, digital agriculture presented a steady growth state from 2011 to 2019; (2) during the study period, the technical efficiency index was slightly lower than the technological progress index in the AGTFP index, meaning that there is room for further development; (3) the relationship between the growth of digital agriculture and AGTFP presents an inverted U-shaped curve, with human capital playing a moderating role. Finally, corresponding countermeasures are proposed in four aspects: strengthening the construction of organizational mechanisms, building a standardized base for digital agriculture output, enhancing the traceability and certification of agricultural products, and improving social services in the agricultural industry.
Funder
Social Science Foundation Project of Xinjiang Uygur Autonomous Region in China
Subject
Nature and Landscape Conservation,Ecology,Global and Planetary Change
Reference82 articles.
1. Leng, X.C., and Tong, G.J. (2022). The Digital Economy Empowers the Sustainable Development of China’s Agriculture-Related Industries. Sustainability, 14.
2. Klerkx, L., Jakku, E., and Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS-Wagening. J. Life Sci., 90–91.
3. Digital agriculture platforms: Driving data-enabled agricultural innovation in a world fraught with privacy and security concerns;Runck;Agron. J.,2022
4. Zhu, Y.Y., Zhang, Y., and Piao, H.L. (2022). Does Agricultural Mechanization Improve the Green Total Factor Productivity of China’s Planting Industry?. Energies, 15.
5. Measurement of high-quality development level of China’s digital agriculture in the context of rural revitalization—Based on the analysis of data of 31 provinces and cities nationwide from 2015 to 2019;Zhang;J. Shaanxi Norm. Univ. Philos. Soc. Sci. Ed.,2021
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献