Green Total Factor Productivity of China’s Construction Industry: Based on the SBM-GML Model
- DOI
- 10.2991/978-94-6463-056-5_22How to use a DOI?
- Keywords
- China; Construction industry; Green total factor productivity; SBM-GML model
- Abstract
The construction industry plays an important role in China's national economy, and belongs to the industry with high pollution and high energy consumption. It is necessary to calculate the green total factor productivity of construction industry (GTCI). Based on the panel data of 30 provinces in Chinese mainland in 2007-2019, the paper calculates the GTCI and its decomposition indicators by using the SBM-GML model, and examines the dynamic evolution characteristics from two aspects of the whole country and the regions. The results show that: (1) From 2007 to 2019, the GTCI has increased by 4.73%, and in space, it is the highest in the western region. (2) From 2007 to 2019, the growth of GTCI depends both on efficiency and technology. And the contribution of technological progress is greater than efficiency improvement. (3) The whole GTCI under the common frontier is lower than that under the regional frontier, but it is still the highest in the western region.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yi Song AU - Huolong Bi AU - Yi Qu PY - 2022 DA - 2022/12/29 TI - Green Total Factor Productivity of China’s Construction Industry: Based on the SBM-GML Model BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 156 EP - 160 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_22 DO - 10.2991/978-94-6463-056-5_22 ID - Song2022 ER -