主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2020, Vol. 29 ›› Issue (1): 140-147.DOI: 10.3969/j.issn.1004-9479.2020.01.2018453

• 产业与布局 • 上一篇    下一篇

京津冀地区工业CO2排放测度及其影响因素研究

韩媛媛(), 皮荷杰, 时泽楠, 吕儒云, 廖剑宇()   

  1. 湖南工业大学 城市与环境学院,湖南株洲 412007
  • 收稿日期:2018-10-10 修回日期:2019-01-23 出版日期:2020-01-20 发布日期:2022-01-22
  • 通讯作者: 廖剑宇
  • 作者简介:韩媛媛(1993-),女,硕士研究生,主要从事低碳城乡规划研究,E-mail:hyy93819@163.com
  • 基金资助:
    湖南省绿色工业与城市低碳发展社科研究基地开放课题(CHJD2017YB06);湖南省教育厅科研课题“长株潭地区集中式水源地浮游藻类生态分布特征及其与环境因子的响应机制研究”

Study on measurement and influencing factors of industrial CO2 emission in Beijing-Tianjin-Hebei Region

Yuanyuan HAN(), Hejie PI, Zenan SHI, Ruyun LV, Jianyu LIAO()   

  1. College of Urban and Environmental, Hunan University of Technology, Zhuzhou 412007, China
  • Received:2018-10-10 Revised:2019-01-23 Online:2020-01-20 Published:2022-01-22
  • Contact: Jianyu LIAO

摘要:

为探讨京津冀地区工业CO2排放测度及其影响因素,基于2005—2016年数据对北京、天津、河北和京津冀地区工业能耗CO2排放的时间变化趋势进行了对比分析,运用地理探测器技术分析能源结构、能耗强度、固定资产投资、轻重工业比值和规模以上工业平均用工人数对京津冀地区工业能耗CO2排放量的影响作用大小。结果表明:①研究期内京津冀工业碳排放强度均为递减趋势。其中,河北最大,天津次之,北京最小;人均碳排放北京呈递减之势,天津和河北在波动中上升。②京津冀工业煤炭类CO2排放占总排放量的主导地位是由河北省以煤炭为主的能源结构决定的。③能源结构对京津冀、天津和河北的CO2排放影响最大,其次是轻重工业比值;北京市规模以上工业从业人数对CO2排放的影响最大,其次是固定资产投资。

关键词: 京津冀, 工业CO2排放, 影响因素, 地理探测器技术

Abstract:

In order to explore the measurement of industrial CO2 emissions in Beijing-Tianjin-Hebei region and its influencing factors, the paper analyzed them based on 2005-2016 data. Firstly, the time trends of industrial energy CO2 emissions in Beijing, Tianjin, Hebei and Beijing-Tianjin-Hebei region were compared and analyzed. And then the geographical detector technology was used to analyze the influence on the CO2 emissions from industrial energy consumption with energy structure, energy intensity, fixed asset investment, light and heavy industry ratio and the number of employees of industries above designated size in Beijing-Tianjin-Hebei region. The result showed that: ① During the study period, the industrial carbon emission intensity of Beijing-Tianjin-Hebei was a decreasing trend. Among them, Hebei is the largest, Tianjin is the second, and Beijing is the smallest; per capita carbon emissions are declining in Beijing, and Tianjin and Hebei are rising in fluctuations.② The dominant position of CO2 emissions from coal types fuel was determined by the energy structure of main coal types for Hebei Province in Beijing, Tianjin and Hebei region. ③ The energy structure had the greatest impact on the CO2 emissions of Beijing-Tianjin-Hebei, Tianjin and Hebei, followed by the ratio of light and heavy industry; the number of employees of industries above designated size in Beijing had the greatest impact on CO2 emissions, followed by fixed-asset investment. Therefore, it was necessary to adopt differentiated measures for energy conservation and CO2 reduction for different regions.

Key words: Beijing-Tianjin-Hebei, industrial CO2 emissions, influencing factors, geographical detector technology