Abstract
The sustainable development of China’s economy and society has been restricted by energy and environmental issues. With the implementation of the Rise of Central China strategy, Henan, a populous province in China, is facing the threat of an energy shortage as its economy grows steadily and the urbanization process accelerates. Using panel data of 18 cities in Henan Province for the period of 2006–2018, this study investigates the relationship between energy consumption and economic and social development variables based on the extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and threshold regression method. The empirical results indicate that economic and social development are significantly positively correlated with total electricity consumption, although there is regional heterogeneity in this relationship. Moreover, there is evidence for a nonlinear relationship between economic and social development and urban energy consumption. These conclusions not only promote the healthy and sustainable economic development of Henan Province but also provide a reference for other provinces and cities that are experiencing rapid development in China.
| Original language | English |
|---|---|
| Pages (from-to) | 33192-33207 |
| Number of pages | 16 |
| Journal | Environmental Science and Pollution Research |
| Volume | 28 |
| Issue number | 25 |
| DOIs | |
| Publication status | Published - Jul 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 11 Sustainable Cities and Communities
Keywords
- Henan Province
- Nonlinear relationship
- STIRPAT model
- Threshold regression
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