Abstract:To evaluate and predict the synergistic effect of reducing pollution and carbon in Tianjin, the emission reduction elasticity coefficient method was used in this study. Based on the STIRPAT model, the synergistic effect of pollution reduction and carbon reduction in Tianjin during the "14th Five-Year Plan" period and 2026~2060 were predicted by scenario. The results showed that the main emission sources of air pollution equivalent and greenhouse gases were industrial sources. The synergistic effect coefficient of pollution reduction and carbon reduction in Tianjin ranged from 0.11 to 0.26 in 2015~2017, and was less than 0in 2013~2014 and 2018~2020. According to prediction, the synergistic effect coefficient of pollution reduction and carbon reduction in Tianjin was 0.06 during the "14th Five-Year Plan" period and was greater than 0 in 2026~2060 under various scenarios. In 2011~2020, the synergistic effect of pollution reduction and carbon reduction in Tianjin fluctuated and changed, and it was possible to reach the synergistic stage during the "14th Five-Year Plan" period. In order to achieve a high level of synergy of pollution reduction and carbon reduction in Tianjin from 2026 to 2060, several measures need to take, including reasonably control the urbanization rate, the total population and the gross regional product, increasing the proportion of tertiary industry and high technology, and continuously reducing the energy intensity.
刘茂辉, 刘胜楠, 李婧, 孙猛, 陈魁. 天津市减污降碳协同效应评估与预测[J]. 中国环境科学, 2022, 42(8): 3940-3949.
LIU Mao-hui, LIU Sheng-nan, LI Jing, SUN Meng, CHEN Kui. Evaluation and prediction of the synergistic effect of pollution reduction and carbon reduction in Tianjin. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(8): 3940-3949.
Ayres R U, Walter J. The greenhouse effect:damages, costs and abatement[J]. Environmental and Resource Economics, 1991,1(3):237-270.
[2]
IPCC. Climate change 2001-mitigation[R]. Cambridge:Cambridge University Press, 2001.
[3]
毛显强,曾桉,邢有凯,等.从理念到行动:温室气体与局地污染物减排的协同效益与协同控制研究综述[J]. 气候变化研究进展, 2021,17(3):255-267. Mao X Q, Zeng A, Xing Y K, et al. From concept to action:a review of research on co-benefits and co-control of greenhouse gases and local air pollutants reductions[J]. Climate Change Research, 2021,17(3):255-267.
[4]
Swart R, Amann M, Raes F, et al. A good climate for clean air:Linkages between climate change and air pollution. An Editorial Essay[J]. Climatic Change, 2004,66(3):263-269.
[5]
王金南,宁淼,严刚,等.实施气候友好的大气污染防治战略[J]. 中国软科学, 2010,(10):28-36,111. Wang J N, Ning M, Yan G, et al. Implementing climate-friendly strategy for air pollution prevention and control[J]. China Soft Science Magazine, 2010,(10):28-36,111.
[6]
郑佳佳,孙星,张牧吟,等.温室气体减排与大气污染控制的协同效应——国内外研究综述[J]. 生态经济, 2015,31(11):133-137. Zheng J J, Sun X, Zhang M Y, et al. Review of researches on the synergistic effect of GHGs mitigation and air pollution control at home and abroad[J]. Ecological Economy, 2015,31(11):133-137.
[7]
Smith K R, Haigler E. Co-benefi ts of climate mitigation and health protection in energy systems:Scoping methods[J]. Annual Review of Public Health, 2008,29(1):11-25.
[8]
Markandya A, Armstrong B J, Hales S, et al. Public health benefits of strategies to reduce greenhouse-gas emissions:Overview and implications for policy makers[J]. The Lancet, 2009,374(9706):2006-2015.
[9]
Groosman B, Muller N Z, O'Neill-Toy E. The ancillary benefits from climate policy in the United States[J]. Environmental and Resource Economics, 2011,50(4):585-603.
[10]
周颖,刘兰翠,曹东.二氧化碳和常规污染物协同减排研究[J]. 热力发电, 2013,42(9):63-65. Zhang Y, Liu L C, Cao D. Synergistical emission control of carbon dioxide and conventional pollutants in thermal power plants[J]. Thermal Power Generation, 2013,42(9):63-65.
[11]
周颖,张宏伟,蔡博峰,等.水泥行业常规污染物和二氧化碳协同减排研究[J]. 环境科学与技术, 2013,36(12):164-168. Zhou Y, Zhang H W, Cai B F, et al. Synergetic reduction of local pollutants and CO2 from cement industry[J]. Environmental Science & Technology, 2013,36(12):164-168.
[12]
刘胜强,毛显强,胡涛,等.中国钢铁行业大气污染与温室气体协同控制路径研究[J]. 环境科学与技术, 2012,35(7):168-174. Liu S Q, Mao X Q, Hu T, et al. Roadmap of co-control of air pollutants and GHGs in iron and steel industry in China[J]. Environmental Science & Technology, 2012,35(7):168-174.
[13]
邢有凯,刘峥延,毛显强,等.中国交通行业实施环境经济政策的协同控制效应研究[J]. 气候变化研究进展, 2021,17(4):379-387. Xing Y K, Liu Z Y, Mao X Q, et al. Research on co-control effect of environmental economic policies in China's transportation sector[J]. Climate Change Research, 2021,17(4):379-387.
[14]
何艳秋,陈柔,朱思宇,等.中国农业碳排放空间网络结构及区域协同减排[J]. 江苏农业学报, 2020,36(5):1218-1228. He Y Q, Chen R, Zhu S Y, et al. Spatial network structure of agricultural carbon emission in China and regional collaborative emission reduction[J]. Jiangsu Journal of Agricultural Sciences, 2020, 36(5):1218-1228.
[15]
王媛,何彧,颜蓓蓓.城市生活垃圾主要处理方式的温室气体协同减排效应比较——以天津市为例[J]. 天津大学学报(自然科学与工程技术版), 2014,47(4):349-354. Wang Y, He Y, Yan B B. Comparison of collaborative effects of greenhouse gas emission reduction among main municipal solid waste (MSW) disposal ways——A case study of Tianjin[J]. Journal of Tianjin University (Science and Technology), 2014,47(4):349-354.
[16]
马丁,陈文颖.中国钢铁行业技术减排的协同效益分析[J]. 中国环境科学, 2015,35(1):298-303. Ma D, Chen W Y. Analysis of the co-benefit of emission reduction measures in China's iron and steel industry[J]. China Environmental Science, 2015,35(1):298-303.
[17]
李新,路路,穆献中,等.京津冀地区钢铁行业协同减排成本-效益分析[J]. 环境科学研究, 2020,33(9):2226-2234. Li X, Lu L, Mu X Z, et al. Cost-benefit analysis of synergistic emission reduction in steel industry in Beijing-Tianjin-Hebei region, China[J]. Research of Environmental Sciences, 2020,33(9):2226-2234.
[18]
谢元博,李巍.基于能源消费情景模拟的北京市主要大气污染物和温室气体协同减排研究[J]. 环境科学, 2013,34(5):2057-2064. Xie Y B, Li W. Synergistic emission reduction of chief air pollutants and greenhouse gases based on scenario simulations of energy consumptions in Beijing[J]. Environmental Science, 2013,34(5):2057-2064.
[19]
阿迪拉•阿力木江,蒋平,董虹佳,等.推广新能源汽车碳减排和大气污染控制的协同效益研究——以上海市为例[J]. 环境科学学报, 2020,40(5):1873-1883. Alimujiang A, Jiang P, Dong H J, et al. Synergy and co-benefits of reducing CO2 and air pollutant emissions by promoting new energy vehicles:A case of Shanghai[J]. Acta Scientiae Circumstantiae, 2020, 40(5):1873-1883.
[20]
王敏,冯相昭,杜晓林,等.工业部门污染物治理协同控制温室气体效应评价——基于重庆市的实证分析[J]. 气候变化研究进展, 2021,17(3):296-304. Wang M, Feng X Z, Du X L, et al. Evaluation of co-controlling GHGs from pollutant reduction facilities in the industrial sectors, empirical analysis based on data in Chongqing city[J]. Climate Change Research, 2021,17(3):296-304.
[21]
张扬,付淩波,李薇,等.基于黑龙江省大气污染防治行动计划的温室气体减排核算[J]. 中国人口•资源与环境, 2015,25(S2):333-336. Zhang Y, Fu L B, Li W, et al. Accounting for the reduction of greenhouse gas emissions based on the air pollution control action plan in Heilongjiang province[J]. 2015,25(S2):333-336.
[22]
黄莹,焦建东,郭洪旭,等.交通领域二氧化碳和污染物协同控制效应研究[J]. 环境科学与技术, 2021,44(7):20-29. Huang Y, Jiao J D, Guo H X, et al. Assessment of co-control effects for CO2 and air pollutants in transport sector[J]. Environmental Science & Technology, 2021,44(7):20-29.
[23]
温娜.沈阳大气污染物与二氧化碳协同减排效应分析[J]. 品牌与标准化, 2021,(4):60-64. Wen N. Analysis on the co-benefits of air pollution and carbon dioxide emissions reduction in Shenyang[J]. Brand & Standardization, 2021, (4):60-64.
[24]
高玉冰,毛显强,Gabriel Corsetti,等.城市交通大气污染物与温室气体协同控制效应评价——以乌鲁木齐市为例[J]. 中国环境科学, 2014,34(11):2985-2992. Gao Y B, Mao X Q, Gabriel Corsetti, et al. Assessment of co-control effects for air pollutants and green house gases in urban transport:A case study in Urumqi[J]. China Environmental Science, 2014,34(11):2985-2992.
[25]
贾璐宇,王艳华,王克,等.大气污染防治措施二氧化碳协同减排效果评估[J]. 环境保护科学, 2020,46(6):19-26. Jia L Y, Wang Y H, Wang K, et al. Evaluation of carbon dioxide coordination emission reduction based on national air pollution control plan[J]. Environmental Protection Science, 2020,46(6):19-26.
[26]
邢有凯,毛显强,冯相昭,等.城市蓝天保卫战行动协同控制局地大气污染物和温室气体效果评估——以唐山市为例[J]. 中国环境管理, 2020,12(4):20-28. Xing Y K, Mao X Q, Feng X S, et al. An effectiveness evaluation of co-controlling local air pollutants and GHGs by implementing blue sky defense action at city level-A case study of Tangshan City[J]. Chinese Journal of Environmental Management, 2020,12(4):20-28.
[27]
宋飞,付加锋.世界主要国家温室气体与二氧化硫的协同减排及启示[J]. 资源科学, 2012,34(8):1439-1444. Song F, Fu J F. The synergistic emission reduction of GHG and sulfur dioxide in the world's major countries and its revelation[J]. Resources Science, 2012,34(8):1439-1444.
[28]
高庆先,高文欧,马占云,等.大气污染物与温室气体减排协同效应评估方法及应用[J]. 气候变化研究进展, 2021,17(3):268-278. Gao Q X, Gao W O, Ma Z Y, et al. The synergy effect assessment method and its application for air pollutants and greenhouse gases reduction[J]. Climate Change Research, 2021,17(3):268-278.
[29]
毛显强,邢有凯,胡涛,等.中国电力行业硫、氮、碳协同减排的环境经济路径分析[J]. 中国环境科学, 2012,32(4):748-756. Mao X Q, Xing Y K, Hu T, et al. An environmental-economic analysis of carbon, sulfur and nitrogen co-reduction path for China's power industry[J]. China Environmental Science, 2012,32(4):748-756.
[30]
高玉冰,邢有凯,何峰,等.中国钢铁行业节能减排措施的协同控制效应评估研究[J]. 气候变化研究进展, 2021,17(4):388-399. Gao Y B, Xing Y K, He F, et al. Research on co-control effectiveness evaluation of energy saving and emission reduction measures in China's iron and steel industry[J]. Climate Change Research, 2021, 17(4):388-399.
[31]
何峰,刘峥延,邢有凯,等.中国水泥行业节能减排措施的协同控制效应评估研究[J]. 气候变化研究进展, 2021,17(4):400-409. He F, Liu Z Y, Xing Y K, et al. Co-control effect evaluation of the energy saving and emission reduction measures in Chinese cement industry[J]. Climate Change Research, 2021,17(4):400-409.
[32]
常树诚,郑亦佳,曾武涛,等.碳协同减排视角下广东省PM2.5 实现WHO-Ⅱ目标策略研究[J]. 环境科学研究, 2021,34(9):2105-2112. Chang S C, Zheng Y J, Zeng W T, et al. Strategies for PM2.5 in Guangdong province to achieve the WHO-Ⅱ air quality target from the perspective of synergistic control with CO2[J]. Research of Environmental Sciences, 2021,34(9):2105-2112.
[33]
冯相昭,赵梦雪,王敏,等.中国交通部门污染物与温室气体协同控制模拟研究[J]. 气候变化研究进展, 2021,17(3):279-288. Feng X Z, Zhao M X, Wang M, et al. Simulation research on co-controlling pollutants and greenhouse gases emission in China's transportation sector[J]. Climate Change Research, 2021,17(3):279-288.
[34]
杨森,许平祥,白兰.京津冀生态化路径的差异化与协同效应研究——基于STIRPAT模型行业动态面板数据的GMM分析[J]. 工业技术经济, 2019,38(12):84-92. Yang S, Xu P X, Bai L. Differentiation ecologization evolution and synergy effects of industrial structure for Beijing-Tianjin-Hebei regions[J]. Journal of Industrial Technological Economics, 2019, 38(12):84-92.
[35]
天津市生态环境局.2020年天津市生态环境状况公报[EB/OL]. http://sthj.tj.gov.cn/YWGZ7406/HJZL9827/HJZKGB866/TJSLNHJZKGB6653/202109/t20210902_5577540.html, 2021-06-15. Tianjin Ecology and Environment Bureau. Tianjin ecological and environmental bulletin 2020[EB/OL]. http://sthj.tj.gov.cn/YWGZ7406/HJZL9827/HJZKGB866/TJSLNHJZKGB6653/202109/t20210902_5577540.html, 2021-06-15.
[36]
贺克斌.城市大气污染源排放清单编制技术手册[R]. 北京:清华大学, 2018. He K B. Calculation manual of atmospheric pollutants emission inventory of cities[R]. Beijing:Tsinghua University, 2018.
[37]
省级温室气体清单编制指南编写组.省级温室气体清单编制指南(试行)[R]. 北京:国家发展和改革委员会, 2011. Writing Group of the Provincial Greenhouse Gas Inventories. The provincial greenhouse gas inventories (trial)[R]. Beijing:National Development and Reform Commission, 2011.
[38]
IPCC.2006年IPCC国家温室气体清单指南[R]. 东京:日本全球环境战略研究所, 2006. IPCC. 2006 IPCC guidelines for national greenhouse gas inventories[R]. Tokyo:Japan Institute for Global Environmental Strategy, 2006.
[39]
York R, Rosa E A, Dietz T. STIRPAT, IPAT and ImPACT:analytic tools for unpacking the driving forces of environmental impacts[J]. Ecological Economics, 2003,46(3):351-365.
[40]
苏凯,陈毅辉,范水生,等.市域能源碳排放影响因素分析及减碳机制研究——以福建省为例[J]. 中国环境科学, 2019,39(2):859-867. Su K, Chen Y H, Fan S S, et al. Influencing factors and reduction mechanism of carbon emissions at the city-range:An empirical study on Fujian province[J]. China Environmental Science, 2019,39(2):859-867.
[41]
王琳杰,曾贤刚,段存儒,等.鄱阳湖沉积物重金属污染影响因素分析——基于STIRPAT模型[J]. 中国环境科学, 2020,40(8):3683-3692. Wang L J, Zeng X G, Duan C R, et al. Analysis on influencing factors of heavy metal pollution in sediments of Poyang Lake based on STIRPAT Model[J]. China Environmental Science, 2020,40(8):3683-3692.
[42]
张哲,任怡萌,董会娟.城市碳排放达峰和低碳发展研究:以上海市为例[J]. 环境工程, 2020,38(11):12-18. Zhang Z, Ren Y M, Dong H J. Research on charbon emissions peaking and low-carbon development of cities:A case of ShangHai[J]. Environmental Engineering, 2020,38(11):12-18.
[43]
李健,王孟艳,高杨.基于STIRPAT模型的天津市低碳发展驱动力影响分析[J]. 科技管理研究, 2014,34(15):66-71. Li J, Wang M Y, Gao Y. Analysis of the driving forces' impact on the low-carbon development of Tianjin based on STIRPAT model[J]. Advanced Materials Research, 2014,34(15):66-71.
[44]
王媛,贾皎皎,赵鹏,等.LMDI方法分析结构效应对天津市碳排放的影响及对策[J]. 天津大学学报(社会科学版), 2014,16(6):509-514. Wang Y, Jia J J, Zhao P, et al. Effect of structure on carbon emission and countermeasures in Tianjin based on LMDI[J]. Journal of Tianjin University (Social Sciences), 2014,16(6):509-514.
[45]
李雪梅,张庆.天津市能源消费碳排放影响因素及其情景预测[J]. 干旱区研究, 2019,36(4):997-1004. Li X M, Zhang Q. Factors affecting carbon emission from energy consumption in Tianjin[J]. Arid Zone Research, 2019,36(4):997-1004.
[46]
黄蕊,王铮,丁冠群,等.基于STIRPAT模型的江苏省能源消费碳排放影响因素分析及趋势预测[J]. 地理研究, 2016,35(4):781-789. Huang R, Wang Z, Ding G Q, et al. Trend prediction and analysis of influencing factors of carbon emissions from energy consumption in Jiangsu province based on STIRPAT model[J]. Geographical Research, 2016,35(4):781-789.
[47]
国家统计局.中国能源统计年鉴2012~2021[M]. 北京:中国统计出版社, 2012~2021. National Bureau of Statistics. China energy statistical yearbook 2012~2021[M]. Beijing:China Statistics Press, 2012~2021.
[48]
徐西蒙.昆明市二氧化碳排放峰值研究[J]. 环境科学导刊, 2015,34(4):47-52. Xu X M. CO2 emission peak prediction of Kunming[J]. Environmental Science Survey, 2015,34(4):47-52.
[49]
李健,王孟艳,高杨.基于STIRPAT模型的天津市低碳发展驱动力影响分析[J]. 科技管理研究, 2014,34(15):66-71. Li J, Wang M Y, Gao Y. Analysis of the driving forces' impact on the low-carbon development of Tianjin based on STIRPAT model[J]. Advanced Materials Research, 2014,34(15):66-71.