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Driving factors of China's city-level carbon emissions from the perspective of spatial spillover effect

机译:从空间溢出效应看中国城市碳排放的驱动因素

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摘要

We use the 2004?2016 China prefecture-level city data to construct a STIRPAT-based spatial econometric model as an empirical test for the driving factors of city carbon emissions. Results show that China?s city carbon emissions exert significant spatial spillover effects and high-emission club agglomeration characteristics. The relationship between city carbon emissions and the city?s own economic development has an ?inverted U? shape, whereas city carbon emissions and the economic development of neighboring cities exhibit a ?J?-shaped relationship. The improvement of energy efficiency is not only conducive to controlling the carbon emissions of the city itself but also beneficial to regulating carbon emissions in neighboring cities. The coal-based energy structure will significantly increase the carbon emissions of the city itself and those of the neighboring cities. Population density will increase the city?s own carbon emissions but reduce carbon emissions in neighboring cities due to the siphon effect. Traffic facilitation and industry structure in a city will lead to an increase in carbon emissions in neighboring cities. Foreign direct investment will benefit the city?s own carbon emission control.
机译:我们使用2004-2016年中国地级市的数据,构建了一个基于STIRPAT的空间计量经济模型,作为对城市碳排放驱动因素的实证检验。结果表明,中国城市碳排放具有显着的空间溢出效应和高排放俱乐部的集聚特征。城市碳排放量与城市自身经济发展之间的关系具有“倒U”形。形状,而城市碳排放量与邻近城市的经济发展呈“ J”形关系。能源效率的提高不仅有利于控制城市本身的碳排放,而且有利于调节邻近城市的碳排放。以煤炭为基础的能源结构将大大增加城市本身和邻近城市的碳排放量。人口密度将增加城市自身的碳排放量,但由于虹吸效应会减少邻近城市的碳排放量。一个城市的交通便利化和产业结构将导致邻近城市的碳排放量增加。外国直接投资将有利于该市自己的碳排放控制。

著录项

  • 来源
    《Carbon Management》 |2019年第6期|551-566|共16页
  • 作者

    Ren Yayun; Ren Xiang; Hu Jianbo;

  • 作者单位

    Jinan Univ Sch Econ Guangzhou Guangdong Peoples R China;

    Guizhou Univ Finance & Econ Sch Big Data Applicat & Econ Guiyang Guizhou Peoples R China;

    Guizhou Univ Finance & Econ Sch Econ Guiyang Guizhou Peoples R China;

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

    Chinese cities; carbon emissions; STIRPAT model; spatial spillover;

    机译:中国城市;碳排放量;STIRPAT模型;空间溢出;
  • 入库时间 2022-08-18 04:54:03

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