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首页> 外文期刊>Journal of Cleaner Production >China's strategy for carbon intensity mitigation pledge for 2020: evidence from a threshold cointegration model combined with Monte-Carlo simulation methods
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China's strategy for carbon intensity mitigation pledge for 2020: evidence from a threshold cointegration model combined with Monte-Carlo simulation methods

机译:中国2020年碳强度减排战略的承诺:阈值协整模型与蒙特卡洛模拟方法相结合的证据

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This paper specifies a nonlinear threshold cointegration to analyze the nonlinear relationship between carbon intensity and economic growth in China. The tests and estimated results clearly confirm that fast paced economic growth-that is the growth rate of gross domestic product (GDP) is greater than 9.053%-impede the reduction of carbon intensity because it weakens the negative effects of tertiary industry development and energy efficiency on carbon intensity while it also increases the positive effect of unclean energy mix on carbon intensity. In order to find a moderate range of economic growth rate that is both beneficial for industrial structuring and energy mix transformation, and at the same time, facilitate reduction in carbon intensity, Monte Carlo simulations are employed. The results show when the growth fate of GDP is between 7% and 8.4%, it can promote "structural bonus" of industrial structure and energy consumption structure on carbon intensity, and carbon intensity in 2020 would decline by about 40.60% compared to 2005 level. These conclusions mean it is necessary for China to carefully set its economic growth target through transformation and optimization of its economic structure and energy mix in order to continuously reduce carbon intensity. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文指定了非线性阈值协整,以分析中国碳强度与经济增长之间的非线性关系。测试和估计结果清楚地表明,快速的经济增长(即国内生产总值(GDP)的增长率大于9.053%)阻碍了碳强度的降低,因为它减弱了第三产业发展和能源效率的负面影响对碳强度的影响,同时也增加了不清洁能源混合对碳强度的积极影响。为了找到适度的经济增长率范围,既有利于产业结构调整和能源结构转换,同时又有助于降低碳强度,采用了蒙特卡洛模拟。结果表明,当GDP增长速度在7%至8.4%之间时,可以促进产业结构和能源消费结构的“结构性红利”对碳强度的影响,2020年的碳强度将比2005年下降约40.60%。 。这些结论意味着,中国有必要通过转变和优化经济结构和能源结构来精心设定经济增长目标,以不断降低碳强度。 (C)2016 Elsevier Ltd.保留所有权利。

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