Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry
The new energy industry (NEI) is key to achieving a clean and low-carbon economy. Improving its technical efficiency, a factor reflecting the ability of an enterprise or industry to produce maximum economic outputs from a given set of inputs and production technologies, is vital for the healthy deve...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/14/4151 |
| _version_ | 1797527275052204032 |
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| author | Hongli Liu Xiaoyu Yan Jinhua Cheng Jun Zhang Yan Bu |
| author_facet | Hongli Liu Xiaoyu Yan Jinhua Cheng Jun Zhang Yan Bu |
| author_sort | Hongli Liu |
| collection | DOAJ |
| description | The new energy industry (NEI) is key to achieving a clean and low-carbon economy. Improving its technical efficiency, a factor reflecting the ability of an enterprise or industry to produce maximum economic outputs from a given set of inputs and production technologies, is vital for the healthy development of the NEI. Nevertheless, due to the fragmentation of industry data, it is still difficult to accurately measure the technical efficiency of China’s NEI and understand the driving factors behind it. Based on the panel data derived from 17,457 observations on new energy enterprises in 29 Chinese provinces during 1998 and 2013 (latest data available), this paper uses data envelopment analysis (DEA) and geographically and temporally weighted regression (GTWR) for the first time to investigate the spatiotemporal characteristics and driving factors of the technical efficiency of China’s NEI. The results show that the technical efficiency of China’s NEI was relatively low and increased modestly from 0.44 in 1998 to 0.52 in 2013. Exploring the reasons from the perspective of spatiotemporal heterogeneity, we find that enterprise scale and technological progress are the major driving factors for increasing NEI’s technical efficiency. However, the role of economic development in improving efficiency has gradually disappeared. Moreover, the negative effect of state-owned enterprises on efficiency becomes increasingly obvious. The effect of new energy resources is negligible. Our main contribution is the technical efficiency of China’s NEI which is measured at the provincial level and its main driving factors are explored by considering spatiotemporal heterogeneity. Accordingly, we put forward some specific recommendations to improve the technical efficiency of China’s NEI. |
| first_indexed | 2024-03-10T09:41:37Z |
| format | Article |
| id | doaj.art-ec843f67ef004c619481f090196d7da0 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T09:41:37Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-ec843f67ef004c619481f090196d7da02023-11-22T03:41:02ZengMDPI AGEnergies1996-10732021-07-011414415110.3390/en14144151Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy IndustryHongli Liu0Xiaoyu Yan1Jinhua Cheng2Jun Zhang3Yan Bu4School of Earth Resources, China University of Geosciences, Wuhan 430074, ChinaEnvironment and Sustainability Institute, University of Exeter, Penryn TR10 9FE, Cornwall, UKSchool of Economics and Management, China University of Geosciences, Wuhan 430074, ChinaSchool of Earth Resources, China University of Geosciences, Wuhan 430074, ChinaSchool of Economics and Management, Dalian University of Technology, Dalian 116024, ChinaThe new energy industry (NEI) is key to achieving a clean and low-carbon economy. Improving its technical efficiency, a factor reflecting the ability of an enterprise or industry to produce maximum economic outputs from a given set of inputs and production technologies, is vital for the healthy development of the NEI. Nevertheless, due to the fragmentation of industry data, it is still difficult to accurately measure the technical efficiency of China’s NEI and understand the driving factors behind it. Based on the panel data derived from 17,457 observations on new energy enterprises in 29 Chinese provinces during 1998 and 2013 (latest data available), this paper uses data envelopment analysis (DEA) and geographically and temporally weighted regression (GTWR) for the first time to investigate the spatiotemporal characteristics and driving factors of the technical efficiency of China’s NEI. The results show that the technical efficiency of China’s NEI was relatively low and increased modestly from 0.44 in 1998 to 0.52 in 2013. Exploring the reasons from the perspective of spatiotemporal heterogeneity, we find that enterprise scale and technological progress are the major driving factors for increasing NEI’s technical efficiency. However, the role of economic development in improving efficiency has gradually disappeared. Moreover, the negative effect of state-owned enterprises on efficiency becomes increasingly obvious. The effect of new energy resources is negligible. Our main contribution is the technical efficiency of China’s NEI which is measured at the provincial level and its main driving factors are explored by considering spatiotemporal heterogeneity. Accordingly, we put forward some specific recommendations to improve the technical efficiency of China’s NEI.https://www.mdpi.com/1996-1073/14/14/4151new energy industrytechnical efficiencyDEA modelGTWR modelspatiotemporal heterogeneity |
| spellingShingle | Hongli Liu Xiaoyu Yan Jinhua Cheng Jun Zhang Yan Bu Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry Energies new energy industry technical efficiency DEA model GTWR model spatiotemporal heterogeneity |
| title | Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry |
| title_full | Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry |
| title_fullStr | Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry |
| title_full_unstemmed | Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry |
| title_short | Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry |
| title_sort | driving factors for the spatiotemporal heterogeneity in technical efficiency of china s new energy industry |
| topic | new energy industry technical efficiency DEA model GTWR model spatiotemporal heterogeneity |
| url | https://www.mdpi.com/1996-1073/14/14/4151 |
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