School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China.
School of Economics and Business Administration, Chongqing University, Chongqing 400030, China.
Sci Total Environ. 2023 Aug 20;887:164125. doi: 10.1016/j.scitotenv.2023.164125. Epub 2023 May 12.
Clarifying internal-structural transmission paths of internet development on China's green total-factor productivity (GTFP) is of great significance for understanding China's economic growth in the era of digital transition. In this paper, GTFP is decomposed by three-hierarchy meta-frontier DEA into technology, industrial structural, regional balance development, scale, and management efficiencies based on China's provincial data. Then, dynamic GMM models are applied to investigate the internal-structural effect of internet development on GTFP. The results illustrate that internet development significantly improves GTFP by promoting technology, optimizing industrial structural, and advancing scale efficiencies. But it inhibits regional balance development and management efficiencies. Based on the results, this study offers new insights and valuable policy implications for China to promote sustainable economic growth.
厘清互联网发展对中国绿色全要素生产率（GTFP）的内部结构传递路径，对于理解数字转型时代中国经济增长具有重要意义。本文基于中国省级数据，利用三层次超前沿 DEA 将 GTFP 分解为技术、产业结构、区域平衡发展、规模和管理效率，并采用动态 GMM 模型考察互联网发展对 GTFP 的内部结构效应。结果表明，互联网发展通过促进技术进步、优化产业结构和提高规模效率，显著提高了 GTFP，但抑制了区域平衡发展和管理效率。基于这些结果，本研究为中国促进可持续经济增长提供了新的视角和有价值的政策启示。
