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The greenhouse effect of the agriculture-economic growth-renewable energy nexus: Evidence from G20

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The greenhouse effect of the agriculture-economic growth-renewable energy nexus: Evidence from G20 countries
文献类型:期刊
通讯作者:Dong, KY (reprint author), Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China.
期刊名称:SCIENCE OF THE TOTAL ENVIRONMENT影响因子和分区
年:2019
卷:671
页码:722-731
ISSN:0048-9697
关键词:CO2 emissions; Agriculture; Renewable energy consumption; Environmental Kuznets curve; G20 countries
所属部门:农业与农村发展学院
摘要:Agriculture is the world's second largest greenhouse gas (GHG) emitter due to the use of fossil fuel-based fertilizers, agricultural machinery, and the burning of biomass. Meanwhile, the Group of Twenty (G20) countries, which include the world's top three agricultural markets, have a significant impact on world agricultural development. This study is the first attempt to examine the effects of the agriculture-economic growth-renewable energy nexus on carbon dioxide (CO2) emissions within the fra ...More
Agriculture is the world's second largest greenhouse gas (GHG) emitter due to the use of fossil fuel-based fertilizers, agricultural machinery, and the burning of biomass. Meanwhile, the Group of Twenty (G20) countries, which include the world's top three agricultural markets, have a significant impact on world agricultural development. This study is the first attempt to examine the effects of the agriculture-economic growth-renewable energy nexus on carbon dioxide (CO2) emissions within the framework of the environmental Kuznets curve (EKC) in a panel of 19 nations of the G20 countries from 1990 to 2014. To do so, panel data unit root tests, cointegration tests, and the panel fully modified ordinary least squares (FMOLS) estimator are used. The main findings are as follows: (1) Panel data unit root and cointegration tests confirm the existence of a long-run relationship among the selected variables, (2) agriculture significantly increases CO2 emissions in the full sample and the developing economies of the G20, while renewable energy consumption reduces the CO2 emissions in the full sample and the developed economies of the G20, (3) the EKC indeed exists in the full sample and developed economies, while economic growth only exerts a positive impact on CO2 emissions for developing economies, indicating that the peak of CO2 emissions for developing economies has not yet been reached, and (4) varied causality links exist among the variables across the different income levels of the G20 countries. Based on the above findings, to suppress the greenhouse effect, the G20 countries' policymakers should not only promote the development of sustainable agriculture, but also stimulate renewable energy consumption, especially in developing economies. (C) 2019 Elsevier B.V. All rights reserved. ...Hide

DOI:10.1016/j.scitotenv.2019.03.336
百度学术:The greenhouse effect of the agriculture-economic growth-renewable energy nexus: Evidence from G20 countries
语言:外文
被引频次:
11
人气指数:2
浏览次数:2
基金:National Natural Science Foundation of ChinaNational Natural Science Foundation of China [71773137]; National Social Science Fund of China [18VDL017]
作者其他论文



The greenhouse effect of the agriculture-economic growth-renewable energy nexus: Evidence from G20 countries.Qiao, Hui, Zheng, Fengtian, Jiang, Hongdian, et al. .SCIENCE OF THE TOTAL ENVIRONMENT. 2019, 671, 722-731.
Has China's coal consumption actually reached its peak? National and regional analysis considering cross-sectional dependence and heterogeneity.Qiao, Hui, Chen, Siyu, Dong, Xiucheng, et al. .ENERGY ECONOMICS. 2019, 84.
Environmental Kuznets curve for PM2.5 emissions in Beijing, China: What role can natural gas consumption play?.Dong, Kangyin, Sun, Renjin, Dong, Cong, et al. .ECOLOGICAL INDICATORS. 2018, 93, 591-601.
Environmental Kuznets curve for PM2.5 emissions in Beijing, China: What role can natural gas consumption play?.Dong, Kangyin, Sun, Renjin, Dong, Cong, et al. .ECOLOGICAL INDICATORS. 2018, 93, 591-601.
Research on simulating optimization of distributed sharing information model for food supply chain.Mao, Wei;Zheng, Fengtian;Mao, Jia.International Symposium on Distributed Computing and Applications to Business, Engineering and Science.2006,864-866.

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