This book provides comprehensive economic analyses on the paths to net-zero for China. It gives a detailed overview of issues and challenges related to carbon neutrality of the global largest emitter which have not been adequately addressed e.g., reduction costs and efficiency of existing actions, the multiple impacts of the newly established carbon market, and the potentials and costs of nature-based solutions such as biophysical sequestration, etc. Studies on China’s carbon reduction have attracted scientists and policymakers from diverse backgrounds. Pursuing a holistic and systematic approach, the book establishes a fundamental framework for this topic, emphasizing the importance of integrated technical-economic-policy analysis. This book will not only be an essential reference to the carbon-neutral progress in China but also will be an outstanding text book on carbon-neutral management. Similarly, this book is expected to attract a great range of readership including undergraduate and postgraduate students, economic and climate specialists, researchers and policymakers in China as well as in overseas.
Author(s): Kai Tang
Publisher: Springer
Year: 2022
Language: English
Pages: 175
City: Singapore
Introduction
Contents
About the Editor
1 China’s Net-Zero Emissions: Why Do We Need It
1.1 Climate Change: Humanity’s Biggest Challenge
1.2 Anthropogenic Greenhouse Gas Emissions: The Primary Driver of Climate Change
1.3 Net-Zero Emissions: The world’s Critical Mission
1.4 China’s Emissions and Net-Zero Target
1.5 Conclusions
References
2 Spatiotemporal Dynamics of China’s Carbon Emissions: Evidence from Urban Efficiency and Convergence
2.1 Introduction
2.2 Methodology
2.2.1 Measuring Carbon Emissions Efficiency
2.2.2 Understanding Club Convergence
2.2.3 Data
2.3 Empirical Results and Discussion
2.3.1 Carbon Emissions Efficiency
2.3.2 Club Convergence
2.3.3 Explaining Club Convergence from a Spatial Perspective
2.4 Conclusions
References
3 Spatiotemporal Dynamics of China’s Carbon Emissions: Evidence from Industrial and Regional Decoupling
3.1 Introduction
3.2 Methodology
3.2.1 The Log-Mean Divisia Index (LMDI) Decomposition Method
3.2.2 Tapio Decoupling Method
3.2.3 Data
3.3 Results and Discussion
3.3.1 China’s Industrial CO2 Emissions
3.3.2 The Decoupling of Industrial CO2 Emissions
3.3.3 Decomposition Results for Industrial CO2 Emissions
3.4 Conclusions
References
4 Provincial Carbon Reduction Costs and Potentials in China: A Total Factor Analysis
4.1 Introduction
4.2 Methodology
4.2.1 The Parametric Generalized Non-Radial Directional Distance Function
4.2.2 Reduction Potentials and Costs
4.2.3 Parametric and Estimation Specifications
4.2.4 Data Used
4.3 Results and Discussion
4.3.1 Carbon Reduction Potentials
4.3.2 Carbon Reduction Costs
4.4 Conclusions
References
5 Urban Carbon Reduction Costs and Potentials in China: A Nonparametric Approach
5.1 Introduction
5.2 Methodology
5.2.1 Estimating Carbon Reduction Potentials
5.2.2 Estimating Carbon Reduction Costs
5.2.3 Variables and Data
5.3 Results and Discussion
5.3.1 Estimates of Urban Carbon Reduction Potentials
5.3.2 Estimates of Urban Carbon Reduction Costs
5.3.3 Determinants of Urban Carbon Reduction Costs
5.4 Conclusions
References
6 Cost-Effectiveness of Agricultural Carbon Reduction in China
6.1 Introduction
6.2 Methodology
6.2.1 Study Region
6.2.2 Whole-Farm-Bioeconomic Approach
6.3 Results
6.3.1 Base Scenario
6.3.2 Various Emission Tax Scenarios
6.4 Discussion
6.4.1 Cropping-Livestock Shifting
6.4.2 More Dry Pea Rotations
6.4.3 Marginal Abatement Costs
6.5 Conclusions
References
7 Investigating the Impact of Carbon Emission Trading on Urban Carbon Emissions in China
7.1 Introduction
7.2 Methodology
7.2.1 The Propensity Score Matching-Difference-In-Differences (PSM-DID) Approach
7.2.2 Variables and Data
7.3 Results and Discussion
7.3.1 Results of the Propensity Score Matching (PSM) Analysis
7.3.2 Results of the DID Analysis
7.3.3 Robustness Tests
7.3.4 Mechanisms
7.4 Conclusions
References
8 Investigating the Impact of Carbon Emission Trading on Provincial Industrial Carbon Emissions in China
8.1 Introduction
8.2 Methodology
8.2.1 Difference-In-Differences (DID) Approach
8.2.2 Difference-In-Difference-In-Differences (DDD) Approach
8.2.3 Variables and Data
8.3 Results and Discussion
8.3.1 Results of the Difference-In-Differences (DID) Analysis
8.3.2 Results of the Difference-In-Difference-In-Differences (DDD) Analysis
8.3.3 Results of Robustness Checks
8.3.4 Results of Heterogeneity Analysis
8.3.5 Results of Mechanism Analysis
8.4 Conclusions
References
9 Investigating the Impact of Carbon Emission Trading on Industrial Carbon Productivity in China
9.1 Introduction
9.2 Methodology
9.2.1 Difference-In-Difference-In-Differences (DDD) Approach
9.2.2 Heterogeneous DDD Approach
9.2.3 Variables and Data
9.3 Results and Discussion
9.3.1 Results of the Overall Impact
9.3.2 Results of Robustness Checks
9.3.3 Results of the Heterogeneous Analysis
9.3.4 Results of the Mechanism Analysis
9.4 Conclusions
References
10 Carbon Sequestration and Greenhouse Gas Emissions Reductions in Agriculture: Strategies and Their Economic Feasibility
10.1 Introduction
10.2 Agricultural Strategies for Carbon Sequestration and GHG Emissions Reductions
10.3 The Economic Feasibility of Agricultural Strategies for Carbon Sequestration and GHG Emissions Reductions
10.4 Discussion
10.5 Conclusions
References
