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Energy consumption transition and green total factor productivity in Chinese prefecture-level cities

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  • Zeng, Shihong
  • Gu, Yuxiao
  • Su, Bin
  • Li, Tengfei

Abstract

Actively promoting the energy consumption transition (ECT) and realizing green growth is a critical way for China to achieve its sustainable development goals, and it is also a core task for the current economic development of Chinese cities. Therefore, we explore the spatial effect of ECT on green total factor productivity (GTFP) through the spatial Durbin model (SDM) via balanced panel data from 279 prefecture-level cities in China from 2007 to 2019 and reveal the heterogeneous characteristics of this relationship. In addition, we investigate their nonlinear relationship characteristics. The results of the study are as follows. (1) ECT significantly enhances GTFP with an obvious spatial spillover effect. (2) ECT in the eastern region (EAR) positively affects GTFP in both local and neighboring cities, but the spatial spillover effect in the central region (CTR) is not significant, and the western region (WER) has a suppressed spatial spillover effect. (3) ECT in resource-based cities (RCs) positively affects GTFP in both local and neighboring cities. However, its spatial spillover effect is not significant in non-resource-based cities (non-RCs). (4) The results for the double-threshold effect show a nonlinear relationship. Only after crossing the second threshold does ECT contribute significantly to GTFP. Formal environmental regulation (FER) and informal environmental regulation (IER) are nonlinear characteristics of the ECT and GTFP. Moreover, we find that IER has a greater effect on the relationship than FER does. This research provides an effective reference for China to move toward green growth.

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  • Zeng, Shihong & Gu, Yuxiao & Su, Bin & Li, Tengfei, 2025. "Energy consumption transition and green total factor productivity in Chinese prefecture-level cities," Energy Economics, Elsevier, vol. 142(C).
    • Handle: RePEc:eee:eneeco:v:142:y:2025:i:c:s014098832400865x
    DOI: 10.1016/j.eneco.2024.108156
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