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Temporal-spatial evolution analysis on low carbon city performance in the context of China

机译：中国背景下低碳城市绩效的时间空间演化分析

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摘要

Carbon emission reduction in the Chinese cities can make significant contributions to the mission of global emission reduction. Therefore, the promotion of low-carbon cities (LCC) in China is of great importance to achieve this mission. This paper examines the performance of practicing LCC in China by conducting a temporalspatial evolution analysis on LCC performance. By combining the entropy weight method and the linear weighted sum method, the LCC performance score is calculated to help establish performance grades. The quartile method and the Boston matrix method are used to conduct temporal analysis and spatial analysis respectively. The data employed in this study were collected from 34 cities in China for the period from 2006 to 2018. The findings are as follows: (1) The overall LCC performance in China has been improved in recent years and the implementation of the low carbon pilot project (LCPP) has made contributions to this improvement. (2) The LCC performance of those cities in Southern China is generally better than that in Northern cities. (3) Good LCC performance cities are those economically developed cities, in which the industrial structure is dominated by low carbon industries. This study provides a holistic picture of the LCC practice in China and also provides supportive references for policymakers to make tailor-made measures to improve the LCC performance internationally.
机译：中国城市的碳排放减少可以对全球减排的使命作出重大贡献。因此，中国在中国的低碳城市（LCC）促进了实现这一使命的重要性。本文通过对LCC绩效进行时间缺水演变分析，探讨了练习LCC在中国的表现。通过组合熵权法和线性加权和方法，计算LCC性能分数以帮助建立性能等级。四分位数方法和波强分别用于分别进行时间分析和空间分析。本研究所采用的数据从2006年至2018年的34个城市收集。结果如下：（1）近年来，中国的整体LCC绩效得到了改善和实施低碳飞行员项目（LCPP）对这一改进作出了贡献。 （2）中国南部这些城市的LCC绩效通常比北方城市更好。 （3）良好的LCC性能城市是经济发达的城市，其中产业结构由低碳行业主导。本研究提供了中国LCC实践的整体画面，也为政策制定者提供了支持性的参考，以便制定量身定制的措施，以改善国际上的LCC绩效。

著录项

  • 来源
    《Environmental impact assessment review》 |2021年第9期|106626.1-106626.11|共11页
  • 作者

    Shen Liyin; Du Xiaoyun; Cheng Guangyu; Shi Fangchen; Wang Yunxiao;

  • 作者单位

    Chongqing Univ Sch Management Sci & Real Estate Chongqing Peoples R China|Chongqing Univ Int Res Ctr Sustainable Built Environm Chongqing Peoples R China;

    Chongqing Univ Sch Management Sci & Real Estate Chongqing Peoples R China|Chongqing Univ Int Res Ctr Sustainable Built Environm Chongqing Peoples R China;

    Chongqing Univ Sch Management Sci & Real Estate Chongqing Peoples R China|Chongqing Univ Int Res Ctr Sustainable Built Environm Chongqing Peoples R China;

    Chongqing Univ Sch Management Sci & Real Estate Chongqing Peoples R China|Chongqing Univ Int Res Ctr Sustainable Built Environm Chongqing Peoples R China;

    Henan Tech Coll Construct Zhengzhou Henan Peoples R China;

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

    Low carbon city (LCC); LCC performance assessment; Evolution analysis; Temporal-spatial perspective; China;

    机译：低碳城（LCC）;LCC性能评估;演化分析;时间空间视角;中国;

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