人類(lèi)活動(dòng)在全球范圍內(nèi)加速了二氧化碳的排放,幾十年來(lái),人們開(kāi)發(fā)了各種技術(shù)來(lái)解決環(huán)境問(wèn)題。全世界都在呼吁與這種環(huán)境威脅作斗爭(zhēng)。因此,人們從不同的角度對(duì)不同國(guó)家在氣候變化斗爭(zhēng)中創(chuàng)新的影響進(jìn)行了大量的研究。為了獲得經(jīng)濟(jì)合作與發(fā)展組織（經(jīng)合發(fā)組織）經(jīng)濟(jì)體的支持承諾,本研究旨在評(píng)估創(chuàng)新對(duì)經(jīng)合發(fā)組織國(guó)家減緩氣候變化和環(huán)境效率的影響。本研究特別設(shè)定了五個(gè)目標(biāo);第一個(gè)目標(biāo)是檢驗(yàn)環(huán)境庫(kù)茲涅茨曲線(xiàn)（EKC）的有效性。第二個(gè)目標(biāo)是檢驗(yàn)創(chuàng)新的克勞迪婭曲線(xiàn)（ICC）的有效性。第三,本研究旨在調(diào)查專(zhuān)利和商標(biāo)對(duì)經(jīng)合組織國(guó)家二氧化碳排放的補(bǔ)充作用。本研究的第四個(gè)目標(biāo)是審查與氣候變化有關(guān)的運(yùn)輸、生產(chǎn)和加工貨物技術(shù)以及生產(chǎn)、運(yùn)輸和供應(yīng)能源技術(shù)對(duì)減少排放的影響。第五個(gè)目標(biāo)是調(diào)查經(jīng)合組織經(jīng)濟(jì)體中生態(tài)創(chuàng)新的影響。第一和第二目標(biāo)的結(jié)果表明,EKC適用于加拿大、澳大利亞、芬蘭、以色列、愛(ài)爾蘭、韓國(guó)和荷蘭,不適用于德國(guó)、冰島和聯(lián)合王國(guó)。基于非居民專(zhuān)利的ICC適用于冰島和愛(ài)爾蘭�；诜蔷用駥�(zhuān)利的ICC適用于盧森堡、以色列、澳大利亞和法國(guó)。我們的第三個(gè)目標(biāo)研究將經(jīng)合組織經(jīng)濟(jì)體分為OCED亞洲、OECD美洲、OECD大洋洲和OECD歐洲。A... 

【文章來(lái)源】：江蘇大學(xué)江蘇省

【文章頁(yè)數(shù)】：192 頁(yè)

【學(xué)位級(jí)別】：博士

【文章目錄】：
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


【參考文獻(xiàn)】：
期刊論文
[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)



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