CO[2] emission features
Author(s)
Bibliographic Information
CO[2] emission features
（China perspectives series, . Climate change and industry structure in China ; 1）
Routledge, 2021
- : pbk
- Other Title
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CO2 emission features
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Note
"[2]" is subscript
"First published 2020 by Routledge ... First issued in paperback 2021"--T.p. verso
Includes bibliographical references (p.[190]-195) and index
Description and Table of Contents
Description
As carbon dioxide is the most significant source of greenhouse gases today, its emission quantity has become a primary focus of governments, scholars and the general public. From the perspective of industrial structure, the book mainly explores the features of carbon emissions in China.
The author thoroughly studies related theories and literature about industrial structure and climate change, and reviews the different development histories of developed countries and China. Based on historical data, this volume discusses the influence of interprovincial industrial structure and income level on carbon emissions, and tries to estimate different industrial sectors' carbon emissions. It especially studies the case of Zhejiang Province, and analyses several factors which affect CO2 emissions.
The book provides international readers with rich information about the characteristics, patterns and drivers of China's CO2 emissions, which will definitely help scholars and students better understand China's economy.
Table of Contents
List of figures. List of tables. Preface I: Theories and Practice Chapter 1 Industrial Structure in China and Emission of Greenhouse Gases Chapter 2 Interconnections between Industrial Structure and Climate Change II: Emission Features Chapter 4 Research on the Relationship Between Interprovincial Industrial Structure, Income Level and CO2 Emissions Chapter 5 Quantitative Assessment of CO2 Emissions from China's Production Sector Chapter 6 Quantitative Evaluation and Analysis of CO2 Emissions in China's Industrial Sector Chapter 7 Analysis of Industrial CO2 Emissions and Influencing Factors: A Case Study of Zhejiang Province References. Index
by "Nielsen BookData"
