气候变化研究进展 ›› 2016, Vol. 12 ›› Issue (2): 124-131.doi: 10.12006/j.issn.1673-1719.2015.216

• 城镇化与气候变化专栏 • 上一篇    下一篇

中国高度城镇化地区CO2排放影响因素和排放绩效研究——以长江三角洲地区为例

蔡博峰   

  1. 环境保护部环境规划院气候变化与环境政策研究中心,北京 100012
  • 收稿日期:2015-12-08 修回日期:2016-01-27 出版日期:2016-03-30 发布日期:2016-03-31
  • 通讯作者: 蔡博峰 E-mail:caibf@caep.org.cn
  • 基金资助:

    中国城市碳排放清单核心问题研究

The Affecting Factors Analysis and Performance Evaluation of CO2 Emissions in Highly Urbanized Region of China—Case Study of Yangtze River Delta Region

Cai Bofeng   

  1. Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning, Beijing 100012, China
  • Received:2015-12-08 Revised:2016-01-27 Online:2016-03-30 Published:2016-03-31

摘要:

|基于长江三角洲地区132个区/县的直接和间接CO2排放、人口、GDP和收入等数据,分析评估了区/县排放特征,并利用偏最小二乘法和残差法分别评估2012年区/县CO2排放影响因素和各区/县排放绩效。长三角地区的CO2排放在区/县层面上有较明显的聚集性,直接排放前40个区/县占总直接排放的86.59%。经济水平、总人口和人口密度对区/县CO2排放有较显著的影响。人口密度是负向驱动,即紧凑型发展比松散型发展有利于降低排放水平。排放绩效评估表明,76个区/县属于较优绩效,56个区/县属于较劣绩效。整体上看,当区/县总人口较小(<30万人)和总人口很大(>600万人)时,排放绩效相对较好,而总人口介于中间水平时,排放绩效的差异较大。因而,在长江三角洲地区进一步城镇化过程中,要充分重视城镇形态(人口密度)和总人口对于排放绩效的作用。

关键词: 长江三角洲地区, 区/县, CO2排放, 影响因素, 绩效

Abstract:

The CO2 emission affecting factors and performance were analyzed on the district/county level in Yangtze River Delta region in 2012, by the methods of partial least squares regression and residual models based on the dataset including direct and indirect emissions, population, GDP and income etc. The results showed that the emissions were clustered, top 40 emitters accounting for 86.59% of the total emissions in this region. Economic activity, population scale and population density have significant impacts on the emissions. The effect of population density is negative, which means that the compact morphology of districts/counties is favorable for low carbon emissions. There were 76 districts/counties and 56 districts/counties in the efficient and inefficient level respectively based on the performance evaluation. Generally, the performance was good when the population size of districts/counties are small (lower than 0.3 million) or very large (larger than 6.0 million), whereas it became complicated and fluctuated among districts/counties when the population size is in the middle level (0.3 million-6.0 million). The policies should focus on the morphology (population density) and population size of the districts/counties when directing the low carbon development in urbanization process of this region in the future.

Key words: Yangtze River Delta region, district/county, CO2 emission, affecting factors, performance

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