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首页> 外文期刊>Journal of Cleaner Production >The impact of renewable energy and agriculture on carbon dioxide emissions: Investigating the environmental Kuznets curve in four selected ASEAN countries
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The impact of renewable energy and agriculture on carbon dioxide emissions: Investigating the environmental Kuznets curve in four selected ASEAN countries

机译:可再生能源和农业对二氧化碳排放的影响:调查四个选定的东盟国家的环境库兹涅茨曲线

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摘要

This study is the first attempt to explore the impact of per capita renewable energy consumption and agricultural value added on carbon dioxide (CO2) emissions in four selected countries of the Association of Southeast Asian Nations (ASEAN-4: Indonesia, Malaysia, the Philippines, and Thailand) from 1970 to 2013. By examining the existence of the environmental Kuznets Curve (EKC) hypothesis, our results of long-run estimates do not support the inverted U-shape EKC in the selected countries. The estimates indicate that increasing renewable energy and agriculture decreases CO2 emissions, while non-renewable energy is positively correlated to emissions. Short-run Granger causal relationships exist from non-renewable energy to emissions and to agriculture, from economic growth to agriculture, and from agriculture to renewable energy directly. Long-run causalities indicate the existence of feedback causalities between emissions, renewable energy and non-renewable energy. Our policy implication is that developing sustainable agriculture can promote renewable energy and reduce emissions. (C) 2017 Elsevier Ltd. All rights reserved.
机译:这项研究是探索人均可再生能源消耗和农业增加值对东南亚国家联盟四个选定国家(ASEAN-4:印度尼西亚,马来西亚,菲律宾, (泰国和泰国)从1970年到2013年。通过研究环境库兹涅茨曲线(EKC)假设的存在,我们的长期估算结果不支持所选国家/地区的倒U型EKC。估算表明,增加可再生能源和农业可减少二氧化碳排放,而不可再生能源与排放呈正相关。短期的格兰杰因果关系从不可再生能源到排放物再到农业,从经济增长到农业,再到从农业到可再生能源都存在。长期因果关系表明排放,可再生能源和不可再生能源之间存在反馈因果关系。我们的政策含义是发展可持续农业可以促进可再生能源并减少排放。 (C)2017 Elsevier Ltd.保留所有权利。

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