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Impacts of urbanization and real economic development on CO2 emissions in non-high income countries: Empirical research based on the extended STIRPAT model

机译:非高收入国家的城市化和实际经济发展对二氧化碳排放的影响:基于扩展STIRPAT模型的实证研究

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摘要

This article focuses on the effects of urbanization and economic development on carbon dioxide (CO2) emissions in non-high income countries using the extended STIRPAT model. Following the building idea of the IPAT model, CO2 emissions (I) are decomposed into nine factors: population, affluence, technology level, urbanization level, urban employment level, industrialization level, population carrying intensity of the real economy built on goods and services, CO2 emission intensity and energy intensity. Then the extended IPAT model is reconstructed as the extended STIRPAT model. Furthermore, based on panel data from 1991 to 2013 and using the extended STIRPAT model, this article respectively analyzes the effects of the driving forces, especially urbanization and real economic development, on CO2 emissions for non high income countries, upper and lower middle-income countries. The results indicate that urbanization and real economic development have a small impact on CO2 emissions in non-high income countries. Accelerating urbanization and real economic development will not result in a significant increase in CO2 emissions. In fact, for upper middle-income countries, real economic development will lead to a decrease in CO2 emissions, and acceleration of the urbanization process will only cause a small increase in emissions. The main driving factors of CO2 emissions remain population, affluence, energy intensity and CO2 emission intensity. This article also quantitatively calculates the actual contribution rate of each driving force for the 1991-2013 period. The study contributes to understanding the emission characteristics and key driving forces in each type of countries, allowing for appropriate policy recommendations. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文使用扩展的STIRPAT模型,重点研究了非高收入国家中城市化和经济发展对二氧化碳(CO2)排放的影响。按照IPAT模型的构想,将CO2排放(I)分解为九个因素:人口,富裕程度,技术水平,城市化水平,城市就业水平,工业化水平,以商品和服务为基础的实体经济的人口承载强度, CO2排放强度和能量强度。然后,将扩展的IPAT模型重建为扩展的STIRPAT模型。此外,本文基于1991年至2013年的面板数据,并使用扩展的STIRPAT模型,分别分析了驱动因素(尤其是城市化和实际经济发展)对非高收入国家,中低收入国家的CO2排放的影响国家。结果表明,城市化和实际经济发展对非高收入国家的二氧化碳排放影响很小。加快城市化进程和实际经济发展不会导致二氧化碳排放量显着增加。实际上,对于中等偏上收入国家,实际的经济发展将导致二氧化碳排放量的减少,而城市化进程的加快只会导致排放量的小幅增加。 CO2排放的主要驱动因素仍然是人口,富裕程度,能源强度和CO2排放强度。本文还定量计算了1991-2013年期间每个驱动力的实际贡献率。该研究有助于理解每种类型国家的排放特征和主要驱动力,从而提出适当的政策建议。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2017年第10期|952-966|共15页
  • 作者单位

    Fujian Normal Univ, Sch Econ, Fuzhou 350007, Fujian, Peoples R China|Univ Sci & Technol China, Sch Management, 96 Jinzhai Rd, Hefei 230026, Anhui, Peoples R China;

    Univ Sci & Technol China, Sch Management, 96 Jinzhai Rd, Hefei 230026, Anhui, Peoples R China;

    Curtin Univ Technol, Sustainabil Policy Inst, Perth, WA 6845, Australia;

    Univ Sci & Technol China, Sch Management, 96 Jinzhai Rd, Hefei 230026, Anhui, Peoples R China;

    Univ Sci & Technol China, Sch Management, 96 Jinzhai Rd, Hefei 230026, Anhui, Peoples R China;

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

    CO2 emissions; Population; Urbanization; Real economic development;

    机译:二氧化碳排放;人口;城市化;实体经济发展;

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