管理评论 ›› 2025, Vol. 37 ›› Issue (9): 70-83.

• 经济与金融管理 • 上一篇    

北京市公共机构碳排放核算与时空演变特征

吴雪峰1, 王艳芬2, 柳梦雪3, 刘雅莉4, 孙旭东3   

  1. 1. 中国科学院大学经济与管理学院, 北京 100190;
    2. 中国科学院大学资源与环境学院, 北京 100049;
    3. 中国矿业大学(北京)管理学院, 北京 100083;
    4. 北京林业大学草业与草原学院, 北京 100083
  • 收稿日期:2023-03-13 发布日期:2025-10-13
  • 作者简介:吴雪峰,中国科学院大学经济与管理学院博士研究生;王艳芬,中国科学院大学资源与环境学院教授,博士生导师,博士;柳梦雪,中国矿业大学(北京)管理学院硕士研究生;刘雅莉,北京林业大学草业与草原学院讲师,博士;孙旭东(通讯作者),中国矿业大学(北京)管理学院副教授,博士生导师,博士。
  • 基金资助:
    中央高校基本科研业务费社科专项项目(2023SKPYGL03);2023年度数字化学习技术集成与应用教育部工程研究中心创新基金重点项目(1321006);湘江实验室重大项目(22XJ01008)。

Total Amount and Space-Time Evolution of Carbon Emission from Public Institutions in Beijing

Wu Xuefeng1, Wang Yanfen2, Liu Mengxue3, Liu Yali4, Sun Xudong3   

  1. 1. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
    2. School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049;
    3. School of Management, China University of Mining and Technology (Beijing), Beijing 100083;
    4. School of Grassland Science, Beijing Forestry University, Beijing 100083
  • Received:2023-03-13 Published:2025-10-13

摘要: 公共机构作为节能降碳的重要领域,在贯彻落实碳达峰碳中和战略中起着示范引领作用。本文以北京市公共机构为例,基于2014—2020年各辖区、各类型公共机构能源消耗统计数据进行碳排放测算,并综合运用泰尔指数、Slope值和ESDA方法开展了北京市公共机构碳排放时空演变特征研究。研究表明:①2014—2020年北京市公共机构节能减排取得显著成效,总体碳排放量呈现波动下降趋势,实现化石能源消费累计碳减排57.2万吨;②2020年北京市公共机构碳排放总量为457.7万吨,主要集中在教育、国家机关和卫生三类公共机构,占比达到83.5%;③北京市各辖区公共机构碳排放量存在显著差异,中心城区是北京市最主要的碳排放地区,其次是新城区、生态涵养区和北京城市副中心;④北京市各区域公共机构碳排放存在正向空间关联特征,高-高集聚(HH)和低-低集聚(LL)是主要的局部空间自相关类型,同时,空间集聚程度呈现减弱-增强的波动变化趋势。

关键词: 北京市, 公共机构, 碳排放核算, 时空演变

Abstract: As an important area of energy saving and carbon reduction, public institutions play an exemplary and leading role in the implementation of carbon peaking and carbon neutral decision making. This paper takes Beijing’s public institutions as an example, measures carbon emissions based on the energy consumption statistics of various jurisdictions and types of public institutions from 2014 to 2020, and conducts a study on the spatial and temporal evolution characteristics of carbon emissions of Beijing’s public institutions by using the Theil index, Slope value and ESDA method. The study shows that: ① From 2014 to 2020, public institutions in Beijing had achieved significant results in energy conservation and emission reduction, with overall carbon emissions showing a fluctuating downward trend, achieving a cumulative carbon emission reduction of 572,000 tonnes from fossil energy consumption; ② In 2020, Beijing’s public institutions emitted 4.577 million tonnes of carbon, of which 83.5% is from three types of public institutions: educational institutions, state agencies and health institutions; ③ There are significant differences in carbon emissions from public institutions in various districts of Beijing, with central urban districts being the dominant carbon emitters, followed by emerging outskirts, ecological conservation areas and the sub-centre of Beijing; ④ There are positive spatial correlation characteristics of carbon emissions from public institutions in various regions of Beijing, with high-high agglomeration (HH) and low-low agglomeration (LL) being the main types of local spatial auto correlation, while the degree of spatial agglomeration shows a trend of fluctuation between weakening and enhancing.

Key words: Beijing, public institutions, carbon accounting, space-time evolution