中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels

文献类型:期刊论文

作者Wang, Shaojian1; Li, Guangdong2; Fang, Chuanglin2
刊名RENEWABLE & SUSTAINABLE ENERGY REVIEWS
出版日期2018
卷号81页码:2144-2159
关键词Urbanization Economic growth Energy consumption CO2 emissions Panel causality Income level countries
ISSN号1364-0321
DOI10.1016/j.rser.2017.06.025
通讯作者Li, Guangdong(ligd@igsnrr.ac.cn) ; Fang, Chuanglin(fangcl@igsnrr.ac.cn)
英文摘要The growth of anthropogenic CO2 emissions has been widely attributed to the combustion of energy in support of human activities associated with economic development. While the link between urbanization, economic growth, energy consumption, and CO2 emissions has, as a result, received considerable multidisciplinary scholarly attention, little work has been undertaken with respect to the how differences in the development stages or income levels of the countries studied may affect these relations. Here, we empirically explore the link between urbanization, economic development, energy consumption, and CO2 emissions, specifically taking into account the different income levels of the countries studied. A series of panel data models and a balanced dataset for a panel of 170 countries were utilized in the study, which took the period of 1980-2011 into consideration. The result of panel cointegration tests suggested that a cointegration relationship existed between variables in all the countries studied, and that a statistically significant positive relationship existed between the variables employed in the long run. The results of a Granger causality test based on the Vector Error-Correction Model (VECM) provided evidence of varied Granger causality relationships between the variables across the income-based subpanels. Moreover, we also undertook an impulse response and variance decomposition analysis that allowed us to forecast the impacts of economic growth, urbanization, and energy consumption on future CO2 emissions during the period surveyed. Our results cast a new light on the importance of a country's development stage and income level for government policy decisions relating to the reduction of CO2 emissions.
WOS关键词PANEL-DATA ANALYSIS ; CARBON-DIOXIDE EMISSIONS ; ENVIRONMENTAL KUZNETS CURVE ; FOREIGN DIRECT-INVESTMENT ; TIME-SERIES ANALYSIS ; ELECTRICITY CONSUMPTION ; CAUSAL RELATIONSHIP ; ERROR-CORRECTION ; ASIAN COUNTRIES ; TRADE OPENNESS
资助项目National Natural Science Foundation of China[41590842] ; National Natural Science Foundation of China[41601151] ; National Natural Science Foundation of China[41501175] ; Natural Science Foundation of Guangdong Province[2016A030310149] ; Fundamental Research Funds for the Central Universities[16lgpy08]
WOS研究方向Science & Technology - Other Topics ; Energy & Fuels
语种英语
WOS记录号WOS:000417078200040
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; Fundamental Research Funds for the Central Universities
源URL[http://ir.igsnrr.ac.cn/handle/311030/56824]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Guangdong; Fang, Chuanglin
作者单位1.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Wang, Shaojian,Li, Guangdong,Fang, Chuanglin. Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels[J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS,2018,81:2144-2159.
APA Wang, Shaojian,Li, Guangdong,&Fang, Chuanglin.(2018).Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels.RENEWABLE & SUSTAINABLE ENERGY REVIEWS,81,2144-2159.
MLA Wang, Shaojian,et al."Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels".RENEWABLE & SUSTAINABLE ENERGY REVIEWS 81(2018):2144-2159.

入库方式: OAI收割

来源:地理科学与资源研究所

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