城市减污降碳协同度评价指标体系构建及应用研究

doi:10.12006/j.issn.1673-1719.2024.015

摘要/Abstract

摘要：

中国强调要把减污降碳协同增效作为促进经济社会发展全面绿色转型的总抓手，并提出“到2025年，减污降碳协同度有效提升”的目标。因此，开展减污降碳协同度评价研究具有迫切的现实需求。文中在解析城市减污降碳协同度内涵的基础上，研究构建了城市减污降碳协同度评价指标体系，包括一级指标3个、二级指标13个、三级指标22个。同时，选择北京市、重庆市、唐山市和西宁市分别代表服务型、综合型、工业型和生态优先型城市，开展城市减污降碳协同度评价指标体系应用研究。结果表明，文中构建的城市减污降碳协同度评价指标体系具有普适性和可操作性，评价结果有现实意义。建议将该指标体系作为国家推进城市减污降碳协同创新试点工作及城市开展减污降碳协同度评价研究的重要参考。

关键词: 城市, 减污降碳, 协同度, 评价指标

Abstract:

China has emphasized the need to promote synergy in reducing pollution and carbon emissions as the overall starting point for promoting the comprehensive green transformation of economic and social development, and has put forward the goal of “effectively improving the synergy of pollution reduction and carbon reduction by 2025”. Therefore, there is an urgent need to carry out research on the evaluation of the synergy degree of pollution reduction and carbon reduction. Based on the analysis of the connotation of urban pollution reduction and carbon reduction synergy, an evaluation index system of urban pollution reduction and carbon reduction synergy was constructed, including 3 first-level indicators, 13 second-level indicators and 22 third-level indicators. At the same time, Beijing, Chongqing, Tangshan and Xining, which represent service-oriented, comprehensive, industrial and ecological priority cities, respectively, were selected to carry out the application research on the evaluation index system of urban pollution reduction and carbon reduction synergy. The results show that the evaluation index system of urban pollution reduction and carbon reduction synergy constructed in this paper is universal and operable, and the evaluation results are of practical significance. It is suggested that this indicator system should be used as an important reference for the national pilot work to promote the collaborative innovation of urban pollution reduction and carbon reduction and the evaluation of the synergy degree of pollution and carbon reduction in cities.

Key words: City, Pollution and carbon reduction, Synergy, Evaluation indicators

王敏, 杨儒浦, 李丽平. 城市减污降碳协同度评价指标体系构建及应用研究[J]. 气候变化研究进展, 2024, 20(2): 242-252.

WANG Min, YANG Ru-Pu, LI Li-Ping. Evaluation method and empirical study on synergistic reduction of pollution and carbon emissions at the urban level[J]. Climate Change Research, 2024, 20(2): 242-252.

图/表 8

图1 城市减污降碳协同度概念模型

Fig. 1 Conceptual model of urban synergistic reduction of pollution and carbon emissions

表1 城市减污降碳协同度评价指标体系

Table 1 Evaluation index system of urban synergistic reduction of pollution and carbon emissions

表2 城市减污降碳协同度评价指标目标值确定

Table 2 The target value of the evaluation index of urban synergistic reduction of pollution and carbon emissions

表3 城市减污降碳协同度分级标准

Table 3 The grading criteria of degree of urban synergizing the reduction of pollution and carbon emissions (DUSR)

图2 案例城市减污降碳协同度得分

Fig. 2 Scores of degree of urban synergizing the reduction of pollution and carbon emissions of case cities

图3 案例城市减污降碳目标协同度得分注：西宁市和重庆市碳排放强度下降目标协同度为 0。

Fig. 3 Scores of target synergy of case cities

图4 案例城市减污降碳路径协同度得分

Fig. 4 Scores of path synergy of case cities

图5 案例城市减污降碳管理协同度得分

Fig. 5 Scores of management synergy of case cities

参考文献 15

[1]	王涵, 李慧, 王涵, 等. 我国减污降碳与地区经济发展水平差异研究[J]. 环境工程技术学报, 2022, 12 (5): 1584-1592.
	Wang H, Li H, Wang H, et al. Research on the difference in air pollution and carbon dioxide reduction and regional economic development levels in China[J]. Journal of Environmental Engineering Technology, 2022, 12 (5): 1584-1592 (in Chinese)
[2]	汪明月, 刘宇, 李梦明, 等. 区域碳减排能力协同度评价模型构建与应用[J]. 系统工程理论与实践, 2020, 40 (2): 470-483. doi: 10.12011/1000-6788-2018-0901-14
	Wang M Y, Liu Y, Li M M, et al. Construction and application of evaluation model for coordinated degree of regional carbon emission[J]. Systems Engineering Theory & Practice, 2020, 40 (2): 470-483 (in Chinese)
[3]	陈艳, 袁春来. 长江中游城市群绿色低碳协同发展分析[J]. 环境保护, 2019, 47 (10): 57-61.
	Chen Y, Yuan C L. Analysis of green and low-carbon coordinated development of urban agglomerations in the middle reaches of the Yangtze River[J]. Environmental Protection, 2019, 47 (10): 57-61 (in Chinese)
[4]	冯相昭, 杨儒浦, 李媛媛. 城市减污降碳协同增效进行时: 唐山案例[J]. 世界环境, 2022 (4): 36-39.
	Feng X Z, Yang R P, Li Y Y. The synergy of urban pollution reduction and carbon reduction is in progress: the case of Tangshan[J]. World Environment, 2022 (4): 36-39 (in Chinese)
[5]	李春彦. 经济高质量发展水平测度: 甘肃省14个市州的实证分析[J]. 甘肃科技, 2022, 38 (17): 61-66.
	Li C Y. Measurement of high-quality economic development: an empirical analysis of 14 cities and prefectures in Gansu province[J]. Gansu Science and Technology, 2022, 38 (17): 61-66 (in Chinese)
[6]	陈思含, 邵超峰, 高俊丽, 等. 基于可持续发展目标的资源型城市可持续发展评价技术及应用: 以湖南省郴州市为例[J]. 生态学报, 2022, 42 (12): 4807-4822.
	Chen S H, Shao C F, Gao J L, et al. Evaluation technology and application of sustainable development in resource-dependent cities based on SDGs: a case study of Chenzhou, Hunan province[J]. Acta Ecologica Sinica, 2022, 42 (12): 4807-4822 (in Chinese)
[7]	李萌, 刘皓, 史聆聆, 等. 基于熵值法的城市生态经济综合评价体系构建及江苏省评价研究[J]. 生态经济, 2022, 38 (8): 68-71, 87.
	Li M, Liu H, Shi L L, et al. Construction of a comprehensive evaluation system of urban eco-economy based on entropy method and evaluation research of Jiangsu province[J]. Ecological Economy, 2022, 38 (8): 68-71, 87 (in Chinese)
[8]	李冰. 北京通州区绿色城市研究[J]. 未来城市设计与运营, 2022 (10): 14-21.
	Li B. Research on green cities in Tongzhou district, Beijing[J]. Future Urban Design and Operation, 2022 (10): 14-21 (in Chinese)
[9]	姜华, 高健, 阳平坚. 推动减污降碳协同增效建设人与自然和谐共生的美丽中国[J]. 环境保护, 2021, 49 (16): 15-17.
	Jiang H, Gao J, Yang P J. Promote synergy in pollution reduction and carbon reduction, and build a beautiful China where man and nature coexist in harmony[J]. Environmental Protection, 2021, 49 (16): 15-17 (in Chinese)
[10]	郑逸璇, 宋晓晖, 周佳, 等. 减污降碳协同增效的关键路径与政策研究[J]. 中国环境管理, 2021, 13 (5): 45-51.
	Zheng Y X, Song X H, Zhou J, et al. Synergetic control of environmental pollution and carbon emissions: pathway and policy[J]. Chinese Journal of Environmental Management, 2021, 13 (5): 45-51 (in Chinese)
[11]	陈菡, 陈文颖, 何建坤. 实现碳排放达峰和空气质量达标的协同治理路径[J]. 中国人口·资源与环境, 2020, 30 (10): 12-18.
	Chen H, Chen W Y, He J K. Pathway to meet carbon emission peak target and air quality standard for China[J]. Chinese Journal of Population Resources and Environment, 2020, 30 (10): 12-18 (in Chinese)
[12]	原伟鹏, 孙慧, 王晶, 等. 中国城市减污降碳协同的时空演化及驱动力探析[J]. 经济地理, 2022, 42 (10): 72-82. doi: 10.15957/j.cnki.jjdl.2022.10.009
	Yuan W P, Sun H, Wang J, et al. Spatial-temporal evolution and driving forces of urban pollution and carbon reduction in China[J]. Economic Geography, 2022, 42 (10): 72-82 (in Chinese) doi: 10.15957/j.cnki.jjdl.2022.10.009
[13]	杨儒浦, 王敏, 胡敬韬, 等. 工业园区减污降碳协同增效评价方法及实证研究[J]. 环境科学研究, 2023, 36 (2): 422-430.
	Yang R P, Wang M, Hu J T, et al. Evaluation method and empirical study on synergistic reduction of pollution and carbon emissions in industrial parks[J]. Research of Environmental Sciences, 2023, 36 (2): 422-430 (in Chinese)
[14]	蓝庆新, 彭一然, 冯科. 城市生态文明建设评价指标体系构建及评价方法研究: 基于北上广深四城市的实证分析[J]. 财经问题研究, 2013 (9): 98-106.
	Lan Q X, Peng Y R, Feng K. Research on the construction of evaluation index system and evaluation method of urban ecological civilization construction: based on the empirical analysis of four cities in Beijing, Shanghai, Guangzhou and Shenzhen[J]. Research on Financial and Economic Issues, 2013 (9): 98-106 (in Chinese)
[15]	Wang M, Wang P, Liang W U, et al. Criteria for assessing carbon emissions peaks at provincial level in China[J]. Advances in Climate Change Research, 2022, 13 (1): 131-137 doi: 10.1016/j.accre.2021.11.006 URL