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Is decoupling economic growth from fuel consumption possible in developing countries? - A comparison of China and India

机译:在发展中国家的燃料消耗中脱耦了经济增长吗? - 对中国和印度的比较

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摘要

A better understanding the coupling/decoupling of economic growth from energy demand in China and India can serve both countries and other developing countries to achieve the goal of gaining higher economic growth with less energy demand. To demonstrate the relationship between coupling/decoupling economy and energy in China and India better, this work has made following contributions: (i) analyzes the decoupling elasticity between economic growth and energy consumption by using the Tapio model, (ii) explores the five key effects (labor input, investment, energy structure, energy intensity, technology level) of decoupling elasticity by combining the Cobb Douglas (C-D) function and Log-Mean Divisia Index (LMDI) method, and (iii) evaluates the decoupling efforts by applying decoupling efforts model in China and India between 1990 and 2015. The decoupling elasticity results show China's decoupling elasticity curve is in an inverted U-shaped trend, and the decoupling elastic value is concentrated between 0 and 0.8 in most years, showing a weak decoupling state. Furthermore, the decoupling state is strong decoupling during 2014-2015, indicating China has initially achieved the decoupling of economy and energy consumption. While India's decoupling elasticity presents irregular fluctuations, indicating that India's decoupling status is not very satisfactory. The decomposition results uncover that major effects of decoupling in China and India are similar, i.e., the investment effect is the biggest driver, which contributed to a cumulative increasing impact in energy consumption in China and India by 3017.10 million tonnes oil equivalent and 675.18 million tonnes oil equivalent, respectively. Whereas the energy intensity effect is the greatest inhibiting factor, which contributed to a cumulative reduction in energy consumption in China and India by 1437.81 million tonnes oil equivalent and 139.21 million tonnes oil equivalent. The decoupling efforts results show decoupling effort in China is better than that in India. Improving energy efficiency is the leading contributor to China's decoupling efforts, while advancing technology is the major contributor to India's decoupling effort. (C) 2019 Elsevier Ltd. All rights reserved.
机译:更好地了解中国和印度能源需求的经济增长的耦合/去耦可以为各国和其他发展中国家提供各国和其他发展中国家,以达到更高的经济增长,以较少的能源需求实现更高的经济增长。为了展示耦合/去耦经济与中国和印度能源之间的关系更好,这项工作取得了以下贡献:(i)通过使用Tapio模型分析经济增长和能耗之间的解耦弹性,(ii)探索五个关键通过组合COBB DOGGLAS(CD)功能和逻辑平均DIVISIA指数(LMDI)方法来解耦弹性的影响(劳动力输入,投资,能量结构,能源强度,技术水平),并通过应用解耦来评估解耦努力1990年至2015年期间中国和印度的努力模型。解耦弹性结果表明,中国的去耦弹性曲线处于倒置的U形趋势,并且在大多数岁月内,去耦弹性值在0到0.8之间浓缩,显示出弱的去耦状态。此外,在2014 - 2015年期间,去耦状态强劲解耦,表明中国最初实现了经济和能源消耗的去耦。虽然印度的去耦弹性呈现不规则的波动,但表明印度的去耦状态并不是很满意。分解结果揭示了中国和印度去耦的重大影响是相似的,即投资效应是最大的司机,这导致了中国和印度能源消耗的累积增加3017.10百万美元的石油等价物,675.18万吨石油等价物。而能量强度效应是最大的抑制因素,这导致了中国和印度能耗的累积减少1437.81亿美元的石油等价物,13.921亿吨等同。去耦努力结果显示在中国的解耦努力比印度更好。提高能源效率是中国解耦努力的主要贡献者,而推进技术是印度解耦努力的主要贡献者。 (c)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2019年第20期|806-817|共12页
  • 作者

    Wang Qiang; Jiang Rui; Zhan Lina;

  • 作者单位

    China Univ Petr East China Sch Econ & Management Qingdao 266580 Shandong Peoples R China|China Univ Petr East China Inst Energy Econ & Policy Qingdao 266580 Shandong Peoples R China;

    China Univ Petr East China Sch Econ & Management Qingdao 266580 Shandong Peoples R China|China Univ Petr East China Inst Energy Econ & Policy Qingdao 266580 Shandong Peoples R China;

    China Univ Petr East China Sch Econ & Management Qingdao 266580 Shandong Peoples R China|China Univ Petr East China Inst Energy Econ & Policy Qingdao 266580 Shandong Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Developing countries; Decoupling effort; Combined decomposition model; China and India;

    机译:发展中国家;去耦努力;组合分解模型;中国和印度;

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