资源科学 ›› 2018, Vol. 40 ›› Issue (6): 1297-1306.doi: 10.18402/resci.2018.06.19

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中原经济区城镇居民消费间接碳排放时空格局及其影响因素

史琴琴1(), 鲁丰先2, 陈海1(), 张丽君2, 武荣伟3, 梁小英1   

  1. 1. 西北大学城市与环境学院,西安 710127
    2. 河南大学环境与规划学院黄河中下游数字地理技术教育部重点实验室,开封 475004
    3. 中国科学院新疆生态与地理研究所,乌鲁木齐 830011
  • 收稿日期:2017-12-03 修回日期:2018-02-28 出版日期:2018-06-25 发布日期:2018-06-22
  • 作者简介:

    作者简介:史琴琴,女,山西临汾人,博士生,主要从事城市—区域综合发展研究。E-mail: shiqinqin_1314 @126.com

  • 基金资助:
    国家自然科学基金项目(41671086;41271103;41671536)

Temporal-spatial patterns and factors affecting indirect carbon emissions from urban consumption in the Central Plains Economic Region

Qinqin SHI1(), Fengxian LU2, Hai CHEN1(), Lijun ZHANG2, Rongwei WU3, Xiaoying LIANG1   

  1. 1. College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
    2. Key Laboratory of Geospatial Technology for the Middle & Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China
    3. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
  • Received:2017-12-03 Revised:2018-02-28 Online:2018-06-25 Published:2018-06-22

摘要:

从消费视角研究城镇居民消费间接碳排放的历史增长、空间分异规律及影响因素,对发展低碳城市和居民合理消费方式的形成具有重要的意义。本文以中原经济区为例,运用投入产出法测算2002—2014年城镇居民消费间接碳排放,通过空间自相关和空间面板模型分析其空间关联特征及影响因素,得到以下结论:①2002—2014年,城镇居民消费间接碳排放呈波动上升的趋势,“衣、食、住”等生存型消费碳排放增长速度较快,“交通、教育娱乐、医疗保健”等发展型消费碳排放增长速度较慢;②从空间关联格局来看,城镇居民消费人均碳排放以HH区和LL区的空间正相关类型为主;③空间杜宾模型估计结果表明,居民收入水平、产业结构和消费结构是影响该区城镇居民消费间接碳排放的主要因素,另外,消费结构和消费意识两个因素具有明显的空间溢出效应。

关键词: 居民消费间接碳排放, 时空格局, 影响因素, STIRPAT模型, 空间面板模型, 中原经济区

Abstract:

The Central Plains Economic Region is undergoing rapid urbanization and industrialization. Living standards and the consumption demands of residents will need to be improved for some time, but indirect carbon emissions from consumption have rigid requirements. From the perspective of consumption, little research has explored historical growth, spatial heterogeneity and factors affecting indirect carbon emissions from urban residential consumption. Understanding these patterns is significant to the development of low carbon cities and formation of reasonable consumption patterns. Here, we calculated the indirect carbon emissions of urban residential consumption in the Central Plains Economic Region using an input-output model, spatial self-correlation and spatial panel modeling. We found that indirect carbon emissions increased from 2002 to 2014. From the consumption structure, the carbon emissions from survival consumption (clothing, food and living) grew faster; development consumption (traffic, education, entertainment and healthcare) grew slower. From spatial association patterns, the spatial correlation type of per capita carbon emissions from urban residential consumption is mainly composed of HH and LL from 2002 to 2014. Spatial Durbin model estimation results show that income level, consumption structure, industrial structure and consumption consciousness are the main influencers of indirect residential carbon emissions. Factors such as consumption consciousness and consumption structure have spatial spillover effects.

Key words: indirect carbon emissions, temporal-spatial patterns, influence factors, STIRPAT Model, Spatial Panel Model, Central Plains Economic Region