Structural decomposition analysis;
Multi-region analysis;
CO2 emission intensity;
Global CO2 emissions;
CARBON-DIOXIDE EMISSIONS;
INPUT-OUTPUT DATABASE;
INDEX NUMBER-THEORY;
ENERGY INTENSITY;
MULTIPLICATIVE DECOMPOSITION;
EMPIRICAL APPLICATION;
CHINA;
DRIVERS;
PERFORMANCE;
CONSUMPTION;
D O I:
10.1016/j.ecolecon.2017.06.023
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
This paper studies changes in global and national CO2 emission intensities using the multi-region structural decomposition analysis (SDA) technique. Emission intensities such as the ratio of CO2 emissions to GDP have lately been widely used to characterize national emission performance. Meanwhile the impact of international trade has been found to be important in global emission accounting. It is therefore important to analyze changes in emission intensities by taking trade into consideration. In this study, we first propose two SDA models, one at the global level and the other at the country level, to quantify both the domestic and trade related effects on an intensity indicator. The models are then used to study changes in global and countries' CO2 emission intensities from 2000 to 2009, The results show that sectoral emission efficiency improvement was the main contributor to the slight decrease in global emission intensity during the period, while international trade marginally hampered improvement of global emission intensity. Comparisons of the performance between emerging economies and advanced economies reveal the importance of production structure and final demand structure in emission intensity reduction. The policy implications of the findings are presented. (C) 2017 Elsevier B.V. All rights reserved.
机构:
Shanghai Univ, Sch Econ, Shanghai 200444, Peoples R ChinaShanghai Univ, Sch Econ, Shanghai 200444, Peoples R China
Liu, Ya-Zhou
Su, Chang
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机构:
Shanghai Univ, Sch Econ, Shanghai 200444, Peoples R ChinaShanghai Univ, Sch Econ, Shanghai 200444, Peoples R China
Su, Chang
Zhang, Wen -Wen
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机构:
Shanghai Univ, Sch Econ, Shanghai 200444, Peoples R China
Univ Auckland, Energy Ctr, Auckland 1010, New ZealandShanghai Univ, Sch Econ, Shanghai 200444, Peoples R China
机构:
Sundarban Hazi Deseret Coll, Dept Commerce, Pathan Khali 743611, W Bengal, IndiaSundarban Hazi Deseret Coll, Dept Commerce, Pathan Khali 743611, W Bengal, India
Pani, Ratnakar
Mukhopadhyay, Ujjaini
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机构:
Behala Coll, Kolkata, IndiaSundarban Hazi Deseret Coll, Dept Commerce, Pathan Khali 743611, W Bengal, India
机构:
Univ Hong Kong, Dept Civil Engn, Pokfulam, Hong Kong, Peoples R ChinaUniv Hong Kong, Dept Civil Engn, Pokfulam, Hong Kong, Peoples R China
Wu, Tongyuan
Ng, S. Thomas
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机构:
City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon Tong, 83 Tat Chee Ave, Hong Kong, Peoples R ChinaUniv Hong Kong, Dept Civil Engn, Pokfulam, Hong Kong, Peoples R China
Ng, S. Thomas
Chen, Ji
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机构:
Univ Hong Kong, Dept Civil Engn, Pokfulam, Hong Kong, Peoples R ChinaUniv Hong Kong, Dept Civil Engn, Pokfulam, Hong Kong, Peoples R China
机构:
Beijing Forestry Univ, Sch Econ & Management, Beijing, Peoples R ChinaBeijing Forestry Univ, Sch Econ & Management, Beijing, Peoples R China
Li, Minhuan
Zhang, Fan
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机构:
Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R ChinaBeijing Forestry Univ, Sch Econ & Management, Beijing, Peoples R China
Zhang, Fan
Du, Yiqiong
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机构:
Shanxi Univ, Inst Loess Plateau, Taiyuan 030006, Shanxi, Peoples R ChinaBeijing Forestry Univ, Sch Econ & Management, Beijing, Peoples R China
Du, Yiqiong
Zhang, Mengyi
论文数: 0引用数: 0
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机构:
China Univ Geosci Beijing, Sch Land Sci & Technol, Beijing 100083, Peoples R ChinaBeijing Forestry Univ, Sch Econ & Management, Beijing, Peoples R China