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Research on Influencing Factors of Provincial Energy Efficiency in China Based on the Spatial Panel Model
by
Li, Guozhu
, Zhang, Tingyu
in
Clean technology
/ Data envelopment analysis
/ Decision making
/ Developing countries
/ Economic development
/ Economic growth
/ Economic models
/ Economics
/ Energy consumption
/ Energy efficiency
/ energy efficiency, super-sbm model, spatial correlation space panel model
/ Environmental regulations
/ Foreign investment
/ Impact analysis
/ LDCs
/ Regional development
/ Regions
/ Urbanization
2022
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Research on Influencing Factors of Provincial Energy Efficiency in China Based on the Spatial Panel Model
by
Li, Guozhu
, Zhang, Tingyu
in
Clean technology
/ Data envelopment analysis
/ Decision making
/ Developing countries
/ Economic development
/ Economic growth
/ Economic models
/ Economics
/ Energy consumption
/ Energy efficiency
/ energy efficiency, super-sbm model, spatial correlation space panel model
/ Environmental regulations
/ Foreign investment
/ Impact analysis
/ LDCs
/ Regional development
/ Regions
/ Urbanization
2022
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Do you wish to request the book?
Research on Influencing Factors of Provincial Energy Efficiency in China Based on the Spatial Panel Model
by
Li, Guozhu
, Zhang, Tingyu
in
Clean technology
/ Data envelopment analysis
/ Decision making
/ Developing countries
/ Economic development
/ Economic growth
/ Economic models
/ Economics
/ Energy consumption
/ Energy efficiency
/ energy efficiency, super-sbm model, spatial correlation space panel model
/ Environmental regulations
/ Foreign investment
/ Impact analysis
/ LDCs
/ Regional development
/ Regions
/ Urbanization
2022
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Research on Influencing Factors of Provincial Energy Efficiency in China Based on the Spatial Panel Model
Journal Article
Research on Influencing Factors of Provincial Energy Efficiency in China Based on the Spatial Panel Model
2022
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Overview
The Super-SBM model was used first to assess the energy efficiency of 30 Chinese provinces from 2012 to 2017. After that, an energy efficiency spatial correlation test was conducted, and finally, the influencing elements of energy efficiency were analyzed using a geographic panel model. The findings show that the amount of regional economic development has a substantial positive impact on energy efficiency, whereas the level of regional urbanization and the severity of environmental restrictions have a considerable negative impact on energy efficiency in China’s provinces. Other regions’ energy structure and technical innovation have a substantial positive spillover effect on the region’s energy efficiency, whereas other regions’ economic development and foreign direct investment have a significant negative spillover effect on the region’s energy efficiency.
Publisher
Technoscience Publications
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