Kooperativer Bibliotheksverbund

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Umfang: 1 online resource (352 pages)

Ausgabe: Second edition.

ISBN: 9780443158049 , 0443158045

Inhalt: Energy Poverty in China: Evaluation and Alleviation offers a thorough, methodological approach to energy poverty, which is a major obstacle in terms of the green or low-carbon transition of energy systems in China. The authors follow the framework of measurement, potential impact, and alleviation paths, supporting the design of effective energy and environmental policies for a globalized nation, especially considering the low-carbon transition of energy structures and energy poverty alleviation in the context of carbon neutrality.

Anmerkung: Front Cover -- ENERGY POVERTY IN CHINA -- ENERGY POVERTY IN CHINA: EVALUATION AND ALLEVIATION -- Copyright -- Contents -- Preface -- List of figures -- List of tables -- List of abbreviations -- One - An overview of energy poverty -- 1.1 Introduction -- 1.2 Overview of research progress on energy poverty -- 1.2.1 The concepts of energy poverty -- 1.2.1.1 Fuel poverty -- 1.2.1.2 Energy poverty -- 1.2.2 Concrete global actions against energy poverty -- 1.2.2.1 Progress of international organizations in tackling energy poverty -- 1.2.2.1.1 The United Nations -- 1.2.2.1.2 International Energy Agency -- 1.2.2.1.3 The World Health Organization -- 1.2.2.2 Progress in tackling the energy poverty of developed and developing countries -- 1.2.2.2.1 Developed countries -- 1.2.2.2.2 Developing countries -- 1.3 Summary of the development situation of energy poverty -- 1.3.1 Development situation of international energy poverty -- 1.3.1.1 Global energy poverty alleviation has achieved preliminary results -- 1.3.1.2 Energy cost of energy poverty in developed countries is relatively high -- 1.3.1.3 The level of electricity service in developing countries is generally low -- 1.3.1.4 Developing countries rely heavily on inefficient kitchen appliances -- 1.3.2 Development situation of China's energy poverty -- 1.3.2.1 China's consumption of clean energy is gradually increasing, and full coverage of electricity has been achieved -- 1.3.2.2 Significant differences exist between urban and rural living energy use -- 1.3.2.3 Rural energy facilities are inefficient, and the prevalence of clean kitchen appliances is low -- 1.4 Research contents and programs in this book -- 1.4.1 Research thoughts -- 1.4.2 Research contents -- 1.4.3 Research techniques -- 1.4.4 Technical route -- 1.5 Conclusions -- References -- Two - Comprehensive evaluation of China's energy poverty. , 2.1 Introduction -- 2.2 Literature review on the measures of energy poverty -- 2.2.1 Unidimensional energy poverty indicator -- 2.2.2 Multidimensional energy poverty indicator -- 2.2.2.1 Households' feeling -- 2.2.2.2 Households' features -- 2.2.2.3 Fuel or energy expenses -- 2.2.2.4 Access to clean and modern energy and energy efficiency -- 2.3 Evaluation system of energy poverty -- 2.4 Estimated methods of the energy poverty index -- 2.5 Specific analysis of China's energy poverty -- 2.5.1 Temporal dimension analysis -- 2.5.2 Provincial dimension analysis -- 2.5.3 Regional dimension analysis -- 2.5.4 Spatial dimension analysis -- 2.6 Conclusions -- References -- Three - Economic effect: is energy poverty eradication a powerful weapon for green growth? -- 3.1 Introduction -- 3.2 Literature review on the economic effect of energy poverty -- 3.3 Model and data -- 3.3.1 Empirical model -- 3.3.2 Variables and data sources -- 3.3.2.1 Dependent variable -- 3.3.2.2 Independent variable -- 3.3.2.3 Control variables -- 3.4 Empirical findings and analysis -- 3.4.1 Preliminary analysis -- 3.4.2 Benchmark regression -- 3.4.3 Robustness checks -- 3.4.3.1 Alternative measure of the explained variables -- 3.4.3.2 Alternative measure of the subindexes -- 3.4.3.3 Alternative estimated methods -- 3.4.4 Provincial heterogeneous analysis -- 3.4.4.1 Results of the geographic heterogeneous analysis -- 3.4.4.2 Results of the asymmetric analysis -- 3.5 Further discussion on the mediator of technical innovation -- 3.5.1 Model construction -- 3.5.2 Empirical findings -- 3.6 Conclusions and policy implications -- References -- Four - Environmental effect: can energy poverty alleviation in China contribute to carbon neutrality? -- 4.1 Introduction -- 4.2 Literature review on the environmental effect of energy poverty -- 4.3 Model and data -- 4.3.1 Empirical model -- 4.3.2 Data. , 4.3.2.1 Dependent variable -- 4.3.2.2 Independent variable -- 4.3.2.3 Control variables -- 4.4 Empirical findings and analysis -- 4.4.1 Preliminary analysis -- 4.4.2 Benchmark regression -- 4.4.3 Robustness checks -- 4.4.3.1 Alternative measure of the explained variable -- 4.4.3.2 Estimated results of subindexes -- 4.4.3.3 Alternative estimated methods -- 4.4.4 Asymmetric and heterogeneous analysis -- 4.5 Further discussion on the transmission mechanism -- 4.5.1 Model specification -- 4.5.2 Empirical findings -- 4.6 Conclusions and policy implications -- References -- Five - Social effect: is energy poverty alleviation the panacea for promoting common prosperity? -- 5.1 Introduction -- 5.2 Literature review on the social effect of energy poverty -- 5.3 Model and data -- 5.3.1 Empirical model -- 5.3.2 Variables and data -- 5.3.2.1 Dependent variable -- 5.3.2.2 Independent variable -- 5.3.2.3 Control variables -- 5.4 Empirical findings and analysis -- 5.4.1 Correlation test -- 5.4.2 Baseline regression -- 5.4.3 Sensitivity checks -- 5.4.3.1 Sensitivity test 1: estimated of subindexes -- 5.4.3.2 Sensitivity test 2: alternative measure of explained variable -- 5.4.3.3 Sensitivity test 3: alternative estimated method -- 5.4.3.4 Sensitivity test 4: adding control variable -- 5.5 Further discussion on the heterogeneous analysis -- 5.5.1 Regional heterogeneous analysis -- 5.5.2 Analysis of asymmetry -- 5.6 Conclusions and policy implications -- References -- Six - Alleviation path I: can accelerated digital economy be an effective means for energy poverty alleviation? -- 6.1 Introduction -- 6.2 Analysis of the development status of the digital economy -- 6.2.1 Analysis of the background of digital economy evolution -- 6.2.2 Literature review on the digital economy-energy poverty nexus -- 6.3 Model and data -- 6.3.1 Empirical model -- 6.3.2 Variables and data. , 6.3.2.1 Explained variable -- 6.3.2.2 Explanatory variable -- 6.3.2.3 Control variables -- 6.4 Empirical findings and analysis -- 6.4.1 Correlation test -- 6.4.2 Benchmark regression -- 6.4.3 Sensitivity checks -- 6.4.3.1 Alternative explanatory variable -- 6.4.3.2 Alternative estimated methods -- 6.4.4 Heterogeneous analysis -- 6.4.4.1 Regional heterogeneous analysis -- 6.4.4.2 Asymmetric analysis -- 6.5 Further discussion on the conduction path of energy efficiency -- 6.5.1 Model -- 6.5.2 Empirical findings and analysis -- 6.6 Conclusions and policy implications -- References -- Seven - Alleviation path II: does technological innovation help address energy poverty? -- 7.1 Introduction -- 7.2 Literature review on the innovation-energy poverty nexus -- 7.3 Model and data -- 7.3.1 Empirical model -- 7.3.2 Variables and data -- 7.4 Empirical findings and analysis -- 7.4.1 Correlation test -- 7.4.2 Baseline regression -- 7.4.3 Robustness checks -- 7.4.3.1 Alternative measure of the subindexes -- 7.4.3.2 Alternative measure of the explained variable -- 7.4.3.3 Alternative estimated methods -- 7.4.4 Provincial heterogeneous analysis -- 7.4.4.1 Heterogeneous analysis in various areas -- 7.4.4.2 Asymmetric analysis -- 7.5 Further analysis on the transmission path of energy transition -- 7.5.1 Model specification -- 7.5.2 Empirical findings -- 7.6 Conclusions and policy implications -- References -- Eight - Alleviation path III: is the low-carbon reform of energy an excellent strategy to solve energy poverty? -- 8.1 Introduction -- 8.2 Literature review on the energy transition-energy poverty nexus -- 8.3 Model and data -- 8.3.1 Empirical model -- 8.3.2 Variables and data -- 8.3.2.1 Dependent variable -- 8.3.2.2 Independent variable -- 8.3.2.3 Control variables -- 8.4 Empirical findings and analysis -- 8.4.1 Correlation test -- 8.4.2 Baseline regression. , 8.4.3 Robustness checks -- 8.4.3.1 Alternative measure of explanatory variables -- 8.4.3.2 Estimated results of subindexes -- 8.4.4 Asymmetric analysis -- 8.5 Further analysis on the mediating role of energy efficiency -- 8.5.1 Model construction -- 8.5.2 Empirical findings -- 8.6 Conclusions and policy implications -- References -- Nine - Alleviation path IV: can improved inclusive finance help alleviate energy poverty in China? -- 9.1 Introduction -- 9.2 Relevant literature review -- 9.3 Model and data -- 9.3.1 Empirical model -- 9.3.2 Variables and data -- 9.3.2.1 Dependent variable -- 9.3.2.2 Independent variable -- 9.3.2.3 Control variables -- 9.4 Empirical findings and analysis -- 9.4.1 Correlation test -- 9.4.2 Baseline regression -- 9.4.2.1 Step 1: Ordinary least squares regression -- 9.4.2.2 Step 2: Fixed effect regression -- 9.4.2.3 Step 3: System generalized method of moments estimate -- 9.4.3 Robustness checks -- 9.4.3.1 Alternative measure of the subindices -- 9.4.3.2 Alternative estimated methods -- 9.4.4 Asymmetric analysis -- 9.5 Further analysis on the transmission path of energy transition -- 9.5.1 Model specification -- 9.5.2 Empirical findings -- 9.6 Conclusions and policy implications -- References -- Ten - Alleviation path V: is the coal-to-gas/electricity policy a valid strategy for energy poverty alleviation? -- 10.1 Introduction -- 10.2 Literature review -- 10.3 Methodology and data -- 10.3.1 Empirical model -- 10.3.2 Methodology -- 10.3.3 Variables and data -- 10.4 Empirical findings and discussion -- 10.4.1 Parallel trend test -- 10.4.2 Benchmark regression -- 10.4.3 Robustness analysis -- 10.4.3.1 Alternative estimated method: PSM-DID -- 10.4.3.2 Empirical estimates of changing window periods -- 10.4.3.3 Alternative explained variables -- 10.5 Conclusions and policy implications -- References -- Index -- A -- B -- C -- D.

Weitere Ausg.: Print version: Dong, Kangyin Energy Poverty in China San Diego : Elsevier,c2023 ISBN 9780443158032

Sprache: Englisch