School of Economics, Ocean University of China, Qingdao, 266100, Shandong, China.
School of Economics, Southwestern University of Finance and Economics, Chengdu, 611130, Sichuan, China.
Environ Sci Pollut Res Int. 2024 Aug;31(40):53100-53120. doi: 10.1007/s11356-024-34742-4. Epub 2024 Aug 23.
Exploring the coupling coordination degree (CCD) between digital village construction (DVC) and agricultural carbon emissions (ACE) is crucial for promoting village revitalization and sustainable agricultural development. Analyzing data from 30 provinces in China in 2011-2020, this paper employs the CCD model, the Dagum Gini coefficient, and the geographic detector for in-depth analysis. The results show that the overall level of CCD gradually increases over time, but the national CCD still remains in a state of "low coordination," and there are apparent spatial differences in the CCD among provinces. In addition, the overall difference in CCD shows a decreasing trend, and the contribution of inter-regional differences has gradually become the most critical source of CCD's regional difference. Finally, the spatial differences of CCD are the result of two-factor interaction, among which the innovation level is the most core driving factor. The above findings provide important implications for China and other developing countries to fully leverage the interaction between village digitalization and agricultural decarbonization to promote sustainable agricultural development.
探索数字乡村建设(DVC)与农业碳排放(ACE)的耦合协调度(CCD)对于促进乡村振兴和农业可持续发展至关重要。本文利用 2011-2020 年中国 30 个省份的数据,采用 CCD 模型、达格姆基尼系数和地理探测器进行深入分析。结果表明,CCD 的整体水平随时间逐渐提高,但全国 CCD 仍处于“低协调”状态,各省之间的 CCD 存在明显的空间差异。此外,CCD 的整体差异呈下降趋势,区域差异的贡献逐渐成为 CCD 区域差异的最关键来源。最后,CCD 的空间差异是两因素相互作用的结果,其中创新水平是最核心的驱动因素。上述发现为中国和其他发展中国家充分利用乡村数字化与农业脱碳化之间的相互作用,促进农业可持续发展提供了重要启示。