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Spatial club convergence of regional energy efficiency in China |
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| Affiliation: | 1. Department of Economics, University of Tabriz, 29 Bahman Bolv, Tabriz, Iran;2. Economics Department, Carleton University, Loeb Building, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada;3. Centre for Monetary and Financial Economics (CMFE), Carleton University, Ottawa, ON K1S 5B6, Canada;1. College of Economics and Management & China Center for Food Security Studies, Nanjing Agricultural University, Weigang No. 1, 210095 Nanjing, Jiangsu, China;2. College of Economics and Management, Nanjing Agricultural University, Weigang No. 1, 210095 Nanjing, Jiangsu, China;3. School of Management, Zhejiang University, Hangzhou 310058, China;4. Courant Research Center “Poverty, Equity and Growth”, University of Göttingen, Platz der Goettinger Sieben 5, Göttingen 37073, Germany;1. Department of Economics, University of Birmingham, United Kingdom;2. Instituto de Economía Internacional, University Jaume I, Spain;3. UPAEP, Mexico |
| Abstract: | This paper adopts data envelopment analysis method to calculate the regional energy efficiency from the perspective of total-factor energy efficiency. The Markov chain and spatial Markov chain are the common methods to test the club convergence of regional energy efficiency in China. Results indicate that the regional energy efficiency in China has been globally characterized by “club convergence” since 1999, and the energy efficiency transitions in China are closely connected with regional characteristics. A high level of energy efficiency has a positive influence on a region, whereas a low level of energy efficiency has a negative influence. This empirical analysis provides a spatial explanation to the “convergence clubs” of regional energy efficiency in China. |
| Keywords: | Energy efficiency Club convergence Markov chains Spatial Markov chains Data envelopment analysis (DEA) |
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