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Renewable energy: Is it a global challenge or opportunity? Focusing on different income level countries through Panel Smooth Transition Regression Model

机译:可再生能源:这是一个全球挑战或机会吗? 专注于通过面板平滑过渡回归模型的不同收入水平国家

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摘要

In the 21st century, climate change is a severe threat to the survival of the planet and humanity; to counter this threat, the significant role of renewable energy cannot be denied for sustainable development worldwide. The motive of this study is to examine the threshold level and asymmetric relationship between renewable energy and economic development in different regimes of the different income levels of 122 countries from 1995-2018 by using the novel technique Panel Smooth Transition Regression Model (PSTR). The results of the PSTR model suggest that the relationship between Renewable Energy and the Economic Growth of these selected countries is nonlinear. Furthermore, in most countries, there is a significant and positive relationship between renewable energy and economic growth in the high regime, except the higher-income nations has a significant and positive relationship in both low and high regimes. Overall full sample shows a significant and positive relationship between renewable energy and economic growth. Recommendations based on this study for these countries include: 1) energy-efficient resources should be adopted to increase renewable energy consumption. 2) The conventional energy consumption share should be reduced to improve the environmental quality for a sustainable future. (c) 2021 Elsevier Ltd. All rights reserved.
机译:在21世纪,气候变化对地球和人类的生存是严重的威胁;为了反驳这种威胁,可再生能源的巨大作用不能否认全球可持续发展。本研究的动机是通过使用新颖的技术面板平滑过渡回归模型(PSTR)来研究来自1995 - 2018年不同收入水平的不同收入水平的不同政策中的可再生能源和经济发展之间的阈值和不对称关系。 PSTR模型的结果表明,可再生能源与这些选定国家的经济增长之间的关系是非线性的。此外,在大多数国家,在高政府中,在高等政权中,在高收入国家的可再生能源和经济增长之间存在显着和积极的关系,除了低政策和高等政权中具有重要和积极的关系。整体完整样本显示可再生能源和经济增长之间的显着和积极的关系。根据本研究的建议包括:1)应采用节能资源来增加可再生能源消耗。 2)应减少传统的能源消费份额以改善可持续未来的环境质量。 (c)2021 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Renewable energy》 |2021年第11期|689-699|共11页
  • 作者单位

    Shenzhen Univ Coll Management Res Inst Business Analyt & Supply Chain Managemen Shenzhen 518060 Peoples R China;

    Shenzhen Univ Coll Management Res Inst Business Analyt & Supply Chain Managemen Shenzhen 518060 Peoples R China;

    IQRA Univ Dept Business Adm Karachi 75300 Pakistan;

    IQRA Univ Dept Business Adm Karachi 75300 Pakistan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Renewable energy; Sustainable economic growth; Panel smooth transition regression model;

    机译:可再生能源;可持续的经济增长;面板平滑过渡回归模型;

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