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Spatiotemporal regularity and spillover effects of carbon emission intensity in China's Bohai Economic Rim

机译:中国渤海经济边缘碳排放强度的时空规律和溢出效应

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摘要

The Bohai Economic Rim (BER) is a momentous economic growth district with rapid development in northern China, but the environmental problems there have also become prominent. In 2017 the BER's carbon emission intensity outclassed the national average, the emission reduction situation was also grim. For clarifying the influence mechanism of the economy on carbon emission intensity, this paper explores the spatiotemporal regularity, the spatial correlation, and the spillover effect in carbon emission intensity employing the Moran index and the spatial Durbin model. The results indicate that the carbon emission intensity in the BER decreased year-by-year from 2006 to 2017. Shanxi and Inner Mongolia were emission hot spots, whereas Beijing and Tianjin were emission cold spots. And the Moran's I values all passed the significance test, which verified the spatial correlation of the carbon emission intensity in the BER is significant. Urbanization, energy intensity, population density, and industry structure have a biggish impact on such spatial distribution of the carbon emission intensity. The direct effect coefficient of the energy intensity is the highest, and the spillover effect of the industry structure is the most significant. Finally, this paper puts forward suggestions on the formulation of regional coordinated carbon reduction programs in the BER.
机译:渤海经济边缘(BER)是一个巨大的经济增长区,北方迅速发展,但环境问题也突出。 2017年,BER的碳排放强度被淘汰全国平均水平,减排情况也严峻。为了澄清经济对碳排放强度的影响机制,本文探讨了采用Moran指标和空间德宾模型的碳排放强度的时空规律,空间相关性和溢出效应。结果表明,BER中的碳排放强度从2006年到2017年减少了。山西和内蒙古是排放热点,而北京和天津是排放冷点。而莫兰的I值全部通过了重要性测试,这验证了BER中碳排放强度的空间相关性。城市化,能源强度,人口密度和产业结构对碳排放强度的这种空间分布产生了大的影响。能量强度的直接效应系数是最高的,行业结构的溢出效应是最重要的。最后,本文提出了关于BER中区域协调碳减少方案的制定的建议。

著录项

  • 来源
    《The Science of the Total Environment》 |2020年第20期|140184.1-140184.11|共11页
  • 作者单位

    School of Management China University of Mining & Technology (Beijing) Beijing 100083 China Key Laboratory of Carrying Capacity Assessment for Resource and Environment Ministry of Natural Resources Sanhe City Hebei Province 065201 China;

    School of Management China University of Mining & Technology (Beijing) Beijing 100083 China;

    School of Management China University of Mining & Technology (Beijing) Beijing 100083 China;

    School of Management China University of Mining & Technology (Beijing) Beijing 100083 China;

    School of Management China University of Mining & Technology (Beijing) Beijing 100083 China;

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

    Spatial dependence test; Spatial Durbin model; Urbanization; Energy intensity; Population density;

    机译:空间依赖试验;空间德国模型;城市化;能量强度;人口密度;
  • 入库时间 2022-08-18 22:36:33

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