大葉大學圖書館 |

Environmental kuznets curve hypothesis and carbon dioxide emissions[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	333.7015195
書名/作者:	Environmental kuznets curve hypothesis and carbon dioxide emissions/ by Katsuhisa Uchiyama.
作者:	Uchiyama, Katsuhisa.
出版者:	Tokyo : : Springer Japan :, 2016.
面頁冊數:	viii, 63 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Environmental economics - Mathematical models.
標題:	Economics.
標題:	Environmental Economics.
標題:	Development Economics.
ISBN:	9784431559214
ISBN:	9784431559191
內容註:	1 Introduction -- 2 Environmental Kuznets Curve Hypothesis -- 3 Empirical Analysis of the Environmental Kuznets Curve -- 4 Concluding Remarks -- Appendix A Stokey Model with Accumulative Pollutant -- Appendix B Nonstationary Panel Data -- Appendix C Model Specification Test -- Further Reading.
摘要、提要註:	This book investigates the relationship between environmental degradation and income, focusing on carbon dioxide (CO2) emissions from around the world, to explore the possibility of sustainable development under global warming. Although many researchers have tackled this problem by estimating the Environmental Kuznets Curve (EKC), unlike the approach to sulfur dioxide emissions, there seems to be little consensus about whether EKC is formed with regard to CO2 emissions. Thus, EKC is one of the most controversial issues in the field of environmental economics. This book contributes three points with academic rigor. First, an unbalanced panel dataset containing over 150 countries with the latest CO2 emission data between 1960 and 2010 is constructed. Second, based on this dataset, the CO2 emission-income relationship is analyzed using strict econometric methods such as the dynamic panel model. Third, as it is often pointed out that some factors other than income affect CO2 emission, several variables were added to the estimation model to examine the effects of changes of industrial structure, energy composition, and overseas trade on CO2 emission.
電子資源:	http://dx.doi.org/10.1007/978-4-431-55921-4

Environmental kuznets curve hypothesis and carbon dioxide emissions[electronic resource] /
Uchiyama, Katsuhisa.

Environmental kuznets curve hypothesis and carbon dioxide emissions[electronic resource] /by Katsuhisa Uchiyama. - Tokyo :Springer Japan :2016. - viii, 63 p. :ill., digital ;24 cm. - SpringerBriefs in economics,2191-5504. - SpringerBriefs in economics..

1 Introduction -- 2 Environmental Kuznets Curve Hypothesis -- 3 Empirical Analysis of the Environmental Kuznets Curve -- 4 Concluding Remarks -- Appendix A Stokey Model with Accumulative Pollutant -- Appendix B Nonstationary Panel Data -- Appendix C Model Specification Test -- Further Reading.

This book investigates the relationship between environmental degradation and income, focusing on carbon dioxide (CO2) emissions from around the world, to explore the possibility of sustainable development under global warming. Although many researchers have tackled this problem by estimating the Environmental Kuznets Curve (EKC), unlike the approach to sulfur dioxide emissions, there seems to be little consensus about whether EKC is formed with regard to CO2 emissions. Thus, EKC is one of the most controversial issues in the field of environmental economics. This book contributes three points with academic rigor. First, an unbalanced panel dataset containing over 150 countries with the latest CO2 emission data between 1960 and 2010 is constructed. Second, based on this dataset, the CO2 emission-income relationship is analyzed using strict econometric methods such as the dynamic panel model. Third, as it is often pointed out that some factors other than income affect CO2 emission, several variables were added to the estimation model to examine the effects of changes of industrial structure, energy composition, and overseas trade on CO2 emission.

ISBN: 9784431559214

Standard No.: 10.1007/978-4-431-55921-4doiSubjects--Topical Terms:

342236
Environmental economics
--Mathematical models.

LC Class. No.: HC79.E5 / U35 2016

Dewey Class. No.: 333.7015195

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