指導教授：張靜貞臺灣大學：農業經濟學研究所凡格斯Zamora, Ren&eacuteRen&eacuteZamoraVargas, AlbertoAlbertoVargas2014-11-292018-06-292014-11-292018-06-292014http://ntur.lib.ntu.edu.tw//handle/246246/263595This paper aimed to provide a performance index of efficiency assessment for 275 metropolitan areas around the world with environmental indicators provided by the Organizations for Economic Co-operation and Development (OECD) for the year 2010, as the basis to benchmark those best positioned for climate change adaptation. The non-parametric DEA method was applied to analyze the efficiency of the metropolitan areas. Once obtained the DEA efficiency score, the most outstanding performance metropolitan areas were identified accordingly to the established parameters, being a total of 47. After an OLS regression, the environmental indicators proved to be variables correlated but not determinant in relation with carbon emissions both individually and in conjuncture. Despite of this, it does confirm that measurement and monitoring the efficiency performance of these variables can help policy makers assess carbon emissions. The present paper is limited, considering the bad performance is possible entirely related to the high GDP level, therefore the methodology of the model specification of GDP as an input variable which lack further inputs to explain the contamination. This information is not included in the database; intermediate variables are needed to explain the process of GDP level and CO2 emissions.Table of Contents Acknowledgements i Abstract ii Table of Contents iii List of Figures v List of Tables vi Chapter 1: Introduction 7 1.1: Motivation of the Study 7 1.2: Objective of the Study 9 Chapter 2: Literature Review on Climate Change & Urbanization 11 2.1: Climate Change 11 2.2: Urbanization 13 2.3: Climate Change & Urbanization 13 Chapter 3: Methodology and Data 16 3.1: DEA Model and Efficiency Measures 16 3.2: OLS Regression 17 3.3: Data Source 18 Chapter 4: Empirical Results and Discussion 20 4.1: Efficiency Results 20 4.2: OLS Regression 25 4.3: Benchmarking Analysis 25 Chapter 5: Conclusions, Suggestions & Recommendations 36 5.1: Conclusions 36 5.2 Policy suggestions 37 5.3 Recommendations for Future Research 37 References 38 Annexes 411668448 bytesapplication/pdf論文公開時間：2014/07/29論文使用權限：同意有償授權(權利金給回饋學校)DEA效率適應氣候變化基準的城市[SDGs]SDG13thesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/263595/1/ntu-103-R01627037-1.pdf