The Impact of Innovation on Climate Change Mitigation and En
发布时间：2021-06-07 00:53
人类活动在全球范围内加速了二氧化碳的排放,几十年来,人们开发了各种技术来解决环境问题。全世界都在呼吁与这种环境威胁作斗争。因此,人们从不同的角度对不同国家在气候变化斗争中创新的影响进行了大量的研究。为了获得经济合作与发展组织（经合发组织）经济体的支持承诺,本研究旨在评估创新对经合发组织国家减缓气候变化和环境效率的影响。本研究特别设定了五个目标;第一个目标是检验环境库兹涅茨曲线（EKC）的有效性。第二个目标是检验创新的克劳迪娅曲线（ICC）的有效性。第三,本研究旨在调查专利和商标对经合组织国家二氧化碳排放的补充作用。本研究的第四个目标是审查与气候变化有关的运输、生产和加工货物技术以及生产、运输和供应能源技术对减少排放的影响。第五个目标是调查经合组织经济体中生态创新的影响。第一和第二目标的结果表明,EKC适用于加拿大、澳大利亚、芬兰、以色列、爱尔兰、韩国和荷兰,不适用于德国、冰岛和联合王国。基于非居民专利的ICC适用于冰岛和爱尔兰。基于非居民专利的ICC适用于卢森堡、以色列、澳大利亚和法国。我们的第三个目标研究将经合组织经济体分为OCED亚洲、OECD美洲、OECD大洋洲和OECD欧洲。A...
【文章来源】：江苏大学江苏省
【文章页数】：192 页
【学位级别】：博士
【文章目录】：
Abstract
摘要
List of Abbreviations
CHAPTER1 INTRODUCTION
1.1 Research Background and Significance of the Study
1.2 Research Objectives
1.3 Research Questions
1.4 The main content of the dissertation
1.5 Innovation of the Study
CHAPTER2 RELATED THEORIES AND LITERATURE REVIEW
2.1 Theories of Innovation
2.1.1.Schumpeter’s Theory of Innovation
2.1.2 Clayton’s Disruptive Innovation Theory
2.1.3 Henderson-Clark Model
2.1.4 Open Innovation Model
2.1.5 The Teece Model of Innovation
2.1.6 Diffusion of Innovations Theory
2.1.7 Innovation Claudia Curve(ICC)
2.2 Theory of Economic growth
2.2.1 The Classical Theory
2.2.2 The Neo-Classical Growth Model
2.2.3 Endogenous Growth Theory
2.3 Economic growth and environment:Environmental Kuznets Curve(EKC)theory
2.4 Environment related trade theories
2.4.1 Pollution Haven Hypothesis(PHH)
2.4.2 Pollution Halo Effect
2.5 Energy-led theory
2.6 Population Growth and Environment Related Theories
2.6.1 IPAT Model
2.6.2 The STIRPAT Model
2.7 The Knowledge Production Function
2.8 The Green Paradox
2.9 Empirical Literature Review
2.9.1 Innovation and CO_2 emissions
2.9.2 Eco-innovation and CO_2 emissions
2.9.3 Trademark as a measure for innovation
2.9.4 Foreign Direct Investment(FDI)and Environmental Quality
2.9.5 Economic Growth and environmental pollution
2.9.6 Population and CO_2 emissions
2.9.7 Renewable energy consumption and CO_2 emissions
2.9.8 Non-renewable energy consumption and CO_2 emissions
2.10 Factors influencing environmental innovation
2.10.1 Research and Development(R&D)expenditure
2.10.2 Research and Development(R&D)personels
2.10.3 Foreign Direct Investment
2.10.4 Environmental Regulations
2.11 Channels of implementing innovation
CHAPTER3 CONCEPTUAL FRAMEWORK AND HYPOTHESIS DEVELOPMENT
3.1 The Conceptual Framework
3.2 Development of Research Models and Hypothesis
3.2.1 Hypothesis based on the Environmental Kuznets Curve Theory
3.2.2 Hypothesis based on Innovation theories
3.2.3 Hypothesis based on Pollution Haven
3.2.4 Hypothesis based on Pollution Halo Effect
3.2.5 Hypothesis based on Environmental efficiency
3.2.6 Hypothesis based on IPAT and STIRPAT theories
3.2.7 Hypothesis based on energy-led theory
3.2.8 Hypothesis based on Research and Development(Knowledge Production Function/Endogenous growth theory)
CHAPTER4 TESTING VALIDITY OF THE INNOVATION CLAUDIA CURVE(ICC)AND ENVIRONMENTAL KUZNETS CURVE(EKC)
4.1 INTRODUCTION
4.1.1 Influencing mechanisms of innovation and economic growth on CO_2 emissions
4.2 Data and Methods
4.2.1 Data
4.2.2 Methodology
4.2.3 The STIRPAT model
4.2.4 The EKC model
4.2.5 The non-linear relationship between innovation and CO_2 emissions(ICC)
4.3 Preliminary Results
4.3.1 Test of cointegration
4.3.2 Autoregressive Distributed Lags(ARDL)Bound Test
4.4 Empirical Results
4.4.1 Results of the EKC MODEL
4.4.2 Results of the for Innovation Claudia Curve (ICC)
4.5 DISCUSSIONS
4.5.1 EKC Theory and CO_2 emissions
4.5.2 Innovation Claudia Curve
4.5.3 Renewable energy consumption and CO_2 emissions
4.5.4 Non-renewable energy consumption and CO_2 emissions
4.6 Summary and Policy implications on objectives one and two
CHAPTER5 THE COMPLIMENTARY ROLE OF TRADEMARK AND ECO-PATENT ON CO_2 EMISSIONS
5.1 INTRODUCTION
5.1.1 Influencing mechanisms of eco-patent and trademark on CO_2 emissions
5.2 Data and methods
5.2.1 Dataset and variables
5.2.2 Methodology
5.3 Preliminary Results
5.3.1 Westerlund cointegration test
5.3.2 Panel Unit Root Test
5.3.3 Cross-sectional dependence test
5.4 Empirical Results
5.4.1 Results of the Ordinary Least Square(OLS)estimation method
5.4.2 ARDL approach to cointegration
5.5 Discussion
5.6 Summary and policy implications objective three
CHAPTER6 THE IMPACT OF A SELECTED CLIMATE CHANGE TECHNOLOGIES ON ENVIRONMENTAL POLLUTION
6.1 INTRODUCTION
6.1.1 Influencing mechanisms of climate change technologies on CO_2 emissions
6.2 Data and Methods
6.2.1 Data
6.2.2 Econometric approach
6.3 Preliminary Results
6.3.1 Cross-section dependence test
6.3.2 Panel unit root test
6.3.3 Westerlund Cointegration
6.4 Empirical Results
6.4.1 Results on total CO_2 emissions(STIRPAT model)
6.4.2 Results on Production-based CO_2 emissions
6.4.3 Results on demand-based CO_2 emissions
6.5 Discussions
6.6 Summary and policy implications objective four
CHAPTER7 EFFECT OF ECO-INNOVATION AND EU EMISSIONS TRADING SYSTEM ON ENVIRONMENTAL EFFICIENCY
7.1 INTRODUCTION
7.1.1 Influencing mechanisms of eco-innovation and environmental efficiency
7.2 Data and Methods
7.2.1 Data
7.2.2 Methodology
7.2.3 Meta-frontier model
7.2.4 Truncated and Tobit Regression
7.3 Results and discussions
7.3.1 Environmental efficiency
7.3.2 Technology Gap Ratio
7.3.3 Environmental efficiency and Eco-innnovation
7.3.4 FDI outflow and environmental efficiency
7.3.5 FDI inflow and environmental efficiency
7.3.6 Human capital and Environmental efficiency
7.3.7 Eco-innovation and environmental efficiency
7.3.8 The interacting effect between eco-innovation and human capital on environmental efficiency
7.3.9 Robust check
7.3.10 Endogenous test
7.3.11 Results for EU-ETS on environmental efficiency
7.4 Summary and policy implications objectives five
CHAPTER8 CONCLUSION,POLICY IMPLICATIONS AND LIMITATIONS OF THE STUDY
8.1 Conclusions
8.2 Policy Implication
8.2.1 Policy implication based on the validity of ICC and EKC
8.2.2 Policy implication based on the effect of eco-patents and trademarks on CO2 emissions
8.2.3 Policy implications based on the impact of a selected climate change related technologies on environmental pollution
8.2.4 Policy implications based on eco-innovation and environmental efficiency
8.3 The Major limitation of the Study
REFERENCES
APPENDICES
ACKNOWLEDGEMENT
PUBLICATIONS
【参考文献】：
期刊论文
[1]Measurement and Scenario Simulation of Effect of Urbanisation on Regional CO2 Emissions Based on UEC-SD Model:A Case Study in Liaoning Province,China[J]. LI Fujia,DONG Suocheng,LI Shantong,LI Zehong,LI Yu. Chinese Geographical Science. 2015(03)
本文编号：3215502
【文章来源】：江苏大学江苏省
【文章页数】：192 页
【学位级别】：博士
【文章目录】：
Abstract
摘要
List of Abbreviations
CHAPTER1 INTRODUCTION
1.1 Research Background and Significance of the Study
1.2 Research Objectives
1.3 Research Questions
1.4 The main content of the dissertation
1.5 Innovation of the Study
CHAPTER2 RELATED THEORIES AND LITERATURE REVIEW
2.1 Theories of Innovation
2.1.1.Schumpeter’s Theory of Innovation
2.1.2 Clayton’s Disruptive Innovation Theory
2.1.3 Henderson-Clark Model
2.1.4 Open Innovation Model
2.1.5 The Teece Model of Innovation
2.1.6 Diffusion of Innovations Theory
2.1.7 Innovation Claudia Curve(ICC)
2.2 Theory of Economic growth
2.2.1 The Classical Theory
2.2.2 The Neo-Classical Growth Model
2.2.3 Endogenous Growth Theory
2.3 Economic growth and environment:Environmental Kuznets Curve(EKC)theory
2.4 Environment related trade theories
2.4.1 Pollution Haven Hypothesis(PHH)
2.4.2 Pollution Halo Effect
2.5 Energy-led theory
2.6 Population Growth and Environment Related Theories
2.6.1 IPAT Model
2.6.2 The STIRPAT Model
2.7 The Knowledge Production Function
2.8 The Green Paradox
2.9 Empirical Literature Review
2.9.1 Innovation and CO_2 emissions
2.9.2 Eco-innovation and CO_2 emissions
2.9.3 Trademark as a measure for innovation
2.9.4 Foreign Direct Investment(FDI)and Environmental Quality
2.9.5 Economic Growth and environmental pollution
2.9.6 Population and CO_2 emissions
2.9.7 Renewable energy consumption and CO_2 emissions
2.9.8 Non-renewable energy consumption and CO_2 emissions
2.10 Factors influencing environmental innovation
2.10.1 Research and Development(R&D)expenditure
2.10.2 Research and Development(R&D)personels
2.10.3 Foreign Direct Investment
2.10.4 Environmental Regulations
2.11 Channels of implementing innovation
CHAPTER3 CONCEPTUAL FRAMEWORK AND HYPOTHESIS DEVELOPMENT
3.1 The Conceptual Framework
3.2 Development of Research Models and Hypothesis
3.2.1 Hypothesis based on the Environmental Kuznets Curve Theory
3.2.2 Hypothesis based on Innovation theories
3.2.3 Hypothesis based on Pollution Haven
3.2.4 Hypothesis based on Pollution Halo Effect
3.2.5 Hypothesis based on Environmental efficiency
3.2.6 Hypothesis based on IPAT and STIRPAT theories
3.2.7 Hypothesis based on energy-led theory
3.2.8 Hypothesis based on Research and Development(Knowledge Production Function/Endogenous growth theory)
CHAPTER4 TESTING VALIDITY OF THE INNOVATION CLAUDIA CURVE(ICC)AND ENVIRONMENTAL KUZNETS CURVE(EKC)
4.1 INTRODUCTION
4.1.1 Influencing mechanisms of innovation and economic growth on CO_2 emissions
4.2 Data and Methods
4.2.1 Data
4.2.2 Methodology
4.2.3 The STIRPAT model
4.2.4 The EKC model
4.2.5 The non-linear relationship between innovation and CO_2 emissions(ICC)
4.3 Preliminary Results
4.3.1 Test of cointegration
4.3.2 Autoregressive Distributed Lags(ARDL)Bound Test
4.4 Empirical Results
4.4.1 Results of the EKC MODEL
4.4.2 Results of the for Innovation Claudia Curve (ICC)
4.5 DISCUSSIONS
4.5.1 EKC Theory and CO_2 emissions
4.5.2 Innovation Claudia Curve
4.5.3 Renewable energy consumption and CO_2 emissions
4.5.4 Non-renewable energy consumption and CO_2 emissions
4.6 Summary and Policy implications on objectives one and two
CHAPTER5 THE COMPLIMENTARY ROLE OF TRADEMARK AND ECO-PATENT ON CO_2 EMISSIONS
5.1 INTRODUCTION
5.1.1 Influencing mechanisms of eco-patent and trademark on CO_2 emissions
5.2 Data and methods
5.2.1 Dataset and variables
5.2.2 Methodology
5.3 Preliminary Results
5.3.1 Westerlund cointegration test
5.3.2 Panel Unit Root Test
5.3.3 Cross-sectional dependence test
5.4 Empirical Results
5.4.1 Results of the Ordinary Least Square(OLS)estimation method
5.4.2 ARDL approach to cointegration
5.5 Discussion
5.6 Summary and policy implications objective three
CHAPTER6 THE IMPACT OF A SELECTED CLIMATE CHANGE TECHNOLOGIES ON ENVIRONMENTAL POLLUTION
6.1 INTRODUCTION
6.1.1 Influencing mechanisms of climate change technologies on CO_2 emissions
6.2 Data and Methods
6.2.1 Data
6.2.2 Econometric approach
6.3 Preliminary Results
6.3.1 Cross-section dependence test
6.3.2 Panel unit root test
6.3.3 Westerlund Cointegration
6.4 Empirical Results
6.4.1 Results on total CO_2 emissions(STIRPAT model)
6.4.2 Results on Production-based CO_2 emissions
6.4.3 Results on demand-based CO_2 emissions
6.5 Discussions
6.6 Summary and policy implications objective four
CHAPTER7 EFFECT OF ECO-INNOVATION AND EU EMISSIONS TRADING SYSTEM ON ENVIRONMENTAL EFFICIENCY
7.1 INTRODUCTION
7.1.1 Influencing mechanisms of eco-innovation and environmental efficiency
7.2 Data and Methods
7.2.1 Data
7.2.2 Methodology
7.2.3 Meta-frontier model
7.2.4 Truncated and Tobit Regression
7.3 Results and discussions
7.3.1 Environmental efficiency
7.3.2 Technology Gap Ratio
7.3.3 Environmental efficiency and Eco-innnovation
7.3.4 FDI outflow and environmental efficiency
7.3.5 FDI inflow and environmental efficiency
7.3.6 Human capital and Environmental efficiency
7.3.7 Eco-innovation and environmental efficiency
7.3.8 The interacting effect between eco-innovation and human capital on environmental efficiency
7.3.9 Robust check
7.3.10 Endogenous test
7.3.11 Results for EU-ETS on environmental efficiency
7.4 Summary and policy implications objectives five
CHAPTER8 CONCLUSION,POLICY IMPLICATIONS AND LIMITATIONS OF THE STUDY
8.1 Conclusions
8.2 Policy Implication
8.2.1 Policy implication based on the validity of ICC and EKC
8.2.2 Policy implication based on the effect of eco-patents and trademarks on CO2 emissions
8.2.3 Policy implications based on the impact of a selected climate change related technologies on environmental pollution
8.2.4 Policy implications based on eco-innovation and environmental efficiency
8.3 The Major limitation of the Study
REFERENCES
APPENDICES
ACKNOWLEDGEMENT
PUBLICATIONS
【参考文献】：
期刊论文
[1]Measurement and Scenario Simulation of Effect of Urbanisation on Regional CO2 Emissions Based on UEC-SD Model:A Case Study in Liaoning Province,China[J]. LI Fujia,DONG Suocheng,LI Shantong,LI Zehong,LI Yu. Chinese Geographical Science. 2015(03)
本文编号：3215502
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