Research on China’s Inter-Provincial Total Factor Productivity Under the Resources and Environment Constraints: Analysis Based on GML Index Method*
- DOI
- 10.2991/assehr.k.200316.321How to use a DOI?
- Keywords
- resources and environment, constraints, total factor productivity, GML index
- Abstract
Based on the theory of total factor productivity, the directional distance function and the GML index were used to study the changes of total factor productivity in China’s 30 provinces and cities from 2004 to 2016 under the constraints of resources and environment. The study found that after incorporating resources and environmental factors into the TFP research framework, the TFP in various regions was reduced to varied degrees. TFP growth in the eastern, central, and western regions decreased by 0.02, 0.29, and 0.1 per cent, respectively, and the national average decreased by 0.1 per cent; panel data regression results show that the level of economic development, endowment structure, resource factors, and foreign investment factors have a significant negative impact on total factor productivity, while industrial structure and technological factors have significant positive effects during the selected sample period. Among them, the largest effect on total factor productivity is the industrial structure and resource factors, and the smallest is the endowment structure.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qiong Zhao AU - Zhanfeng Li AU - Xiaoxue Guo PY - 2020 DA - 2020/03/19 TI - Research on China’s Inter-Provincial Total Factor Productivity Under the Resources and Environment Constraints: Analysis Based on GML Index Method* BT - Proceedings of the 4th International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2020) PB - Atlantis Press SP - 1503 EP - 1513 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200316.321 DO - 10.2991/assehr.k.200316.321 ID - Zhao2020 ER -