Abstract
This study examines the energy efficiency transitions in China using provincial data covering the period 2003-2015. Sustainable progress in energy efficiency achievement is beneficial to energy security and the achievement of the Paris Agreement. This article combines the stochastic frontier method with the panel Markov-switching regression to model energy efficiency transitions. The estimated energy efficiency scores show significant regional and provincial heterogeneity. Also, while human capital development, urbanization, and foreign direct investment promote energy efficiency, price and income per capita reduce it. The transition probabilities indicate that the high energy-efficient state is less sustainable, and the movement towards the frontier seems less persistent than movement from the frontier. Thus, it appears that China is not making sustainable progress in energy efficiency. The unsustainable nature of the high energy-efficient state suggests that in China, there are weak energy efficiency efforts and energy efficiency policies lack robustness.
| Original language | English |
|---|---|
| Pages (from-to) | 147-169 |
| Journal | Energy Journal |
| Volume | 39 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Nov 2018 |
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 13 Climate Action
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SDG 17 Partnerships for the Goals
Research Keywords
- China
- Energy efficiency transitions
- Panel Markov
- Stochastic frontier
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: This article first appeared in The Energy Journal, Vol. 39, No. 6, pages 147-169, year, DOI: http://dx.doi.org/10.5547/01956574.39.6.lzha - Reproduced by permission of the International Association for Energy Economics (IAEE).
Fingerprint
Dive into the research topics of 'Energy efficiency transitions in China: How persistent are the movements to/from the frontier?'. Together they form a unique fingerprint.Projects
- 1 Finished
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ECS: Climate Change, Green City and Economic Growth: An Integrated Assessment of the Economic Effects of Hong Kong’s Climate and Energy Policies
ZHANG, L. (Principal Investigator / Project Coordinator)
1/12/17 → 4/11/20
Project: Research
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