Abstract
In order to analyze and control air pollutant emissions effectively, on the basis of comprehensive consideration of three different pollution sources of industrial sulfur dioxide, industrial nitrogen oxides, and industrial smoke and dust, the Tapio decoupling model and LMDI decomposition model with six decomposition variables are constructed to compare the effects of socioeconomic factors on industrial air pollutant emissions in 11 cities in Zhejiang Province during 2006–2017. Then, a decoupling effort model is developed to analyze the effectiveness of the decoupling efforts taken at city level. This study found that (1) during the period of 2006–2017, the air pollutant emission reduction work in Zhejiang Province achieved remarkable results. More specifically, economic scale effect and population effect are the main factors for the increase of air pollutant emissions. And, the energy emission intensity effect and technological progress are the main driving forces for the reduction of three atmospheric pollutants, followed by the reduction effect of industrial structure and energy structure. (2) The environmental pollution problems of different air pollution sources in different cities are heterogeneous. (3) Eleven cities in Zhejiang Province have made significant decoupling efforts on the emission of three kinds of air pollutants, but there are some differences in the trend of the decoupling effort index of different pollution sources in different cities. In the future, illustrating by the example of Zhejiang, we should implement a “common but different” emission reduction strategy and emphasize pollutant emissions control during energy use in the efforts of further promoting the reduction of air pollutants.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Ang BW (2004) Decomposition analysis for policymaking in energy: which is the preferred method? Energ Policy 32:1131–1139. https://doi.org/10.1016/S0301-4215(03)00076-4
Ang BW (2005) The LMDI approach to decomposition analysis: a practical guide. Energ Policy 33:867–871. https://doi.org/10.1016/j.enpol.2003.10.010
Ang BW (2015) LMDI decomposition approach: A guide for implementation. Energ Policy 86:233–238. https://doi.org/10.1016/j.enpol.2015.07.007
Brand-Correa LI, Steinberger JK (2017) A framework for decoupling human need satisfaction from energy use. Ecol Econ 141:43–52. https://doi.org/10.1016/j.ecolecon.2017.05.019
Chai J, Liang T, Lai KK, Zhang ZG, Wang S (2018) The future natural gas consumption in China: Based on the LMDI-STIRPAT-PLSR framework and scenario analysis. Energ Policy 119:215–225. https://doi.org/10.1016/j.enpol.2018.04.049
Chang M, Zheng J, Inoue Y, Tian X, Chen Q, Gan T (2018) Comparative analysis on the socioeconomic drivers of industrial air pollutant emissions between Japan and China: Insights for the further-abatement period based on the LMDI method. J Clean Prod 189:240–250. https://doi.org/10.1016/j.jclepro.2018.02.111
Cheng Y, Xu C, Ren J, Liu L (2014) Atmospheric environment effect of industrial structure evolution in Shandong Province. China Popul Resour Environ 24:157–162. https://doi.org/10.3969/j.issn.1002-2104.2014.01.022
Chong C, Liu P, Ma L, Li Z, Ni W, Li X, Song S (2017) LMDI decomposition of energy consumption in Guangdong Province, China, based on an energy allocation diagram. Energy 133:525–544. https://doi.org/10.1016/j.energy.2017.05.045
Climent F, Pardo A (2007) Decoupling factors on the energy-output linkage: The Spanish case. Energ Policy 35:522–528. https://doi.org/10.1016/j.enpol.2005.12.022
Diakoulaki D, Mandaraka M (2007) Decomposition analysis for assessing the progress in decoupling industrial growth from CO2 emissions in the EU manufacturing sector. Energy Econ 29:636–664. https://doi.org/10.1016/j.eneco.2007.01.005
Diao B, Zeng K, Su P, Ding L, Liu C (2016) Temporal-spatial distribution characteristics of provincial industrial NOx emissions and driving factors in China from 2006 to 2013. Resour Sci 38:1768–1779. https://doi.org/10.18402/resci.2016.09.14
Diao B, Ding L, Su P, Cheng J (2018) The Spatial-Temporal Characteristics and Influential Factors of NOx Emissions in China: A Spatial Econometric Analysis. Int J Environ Res Public Health 15. https://doi.org/10.3390/ijerph15071405
Ding L, Liu C, Chen K, Huang Y, Diao B (2017) Atmospheric pollution reduction effect and regional predicament: An empirical analysis based on the Chinese provincial NOx emissions. J Environ Manag 196:178–187. https://doi.org/10.1016/j.jenvman.2017.03.016
Dong B, Zhang M, Mu H, Su X (2016) Study on decoupling analysis between energy consumption and economic growth in Liaoning Province. Energy Policy 97:414–420. https://doi.org/10.1016/j.enpol.2016.07.054
Dong Z, Gao J, Yan X, Hao C, Ge C (2017) Assessment of socio-economic impacts of the air pollution prevention and control action plan in China's Assessment of socio-economic impacts of the air pollution prevention and control action plan in China's three key regions. Res Environ Sci 30:380–388. https://doi.org/10.13198/j.issn.1001-6929.2017.01.60
Dong Q, Lin Y, Huang J, Chen Z (2019) Has urbanization accelerated PM2.5 emissions? An empirical analysis with cross-country data. China Econ Rev 101381. https://doi.org/10.1016/j.chieco.2019.101381
Fang D, Hao P, Hao J (2019) Study of the influence mechanism of China's electricity consumption based on multi-period ST-LMDI model. Energy 170:730–743. https://doi.org/10.1016/j.energy.2018.12.212
Fatima T, Xia E, Cao Z, Khan D, Fan J (2019) Decomposition analysis of energy-related CO2 emission in the industrial sector of China: Evidence from the LMDI approach. Environ Sci Pollut Res 26:21736–21749. https://doi.org/10.1007/s11356-019-05468-5
Fernandez Gonzalez P, Landajo M, Presno MJ (2014) Multilevel LMDI decomposition of changes in aggregate energy consumption. A cross country analysis in the EU-27. Energ Policy 68:576–584. https://doi.org/10.1016/j.enpol.2013.12.065
Fujii H, Managi S, Kaneko S (2013) Decomposition analysis of air pollution abatement in China: empirical study for ten industrial sectors from 1998 to 2009. J Clean Prod 59:22–31. https://doi.org/10.1016/j.jclepro.2013.06.059
Grossman GM, Krueger AB (1995) Economic growth and the environment. Q J Econ 2:353–377. https://doi.org/10.2307/2118443
Guevara Z, Domingos T (2017) Three-level decoupling of energy use in Portugal 1995-2010. Energ Policy 108:134–142. https://doi.org/10.1016/j.enpol.2017.05.050
Guo M, Meng J (2019) Exploring the driving factors of carbon dioxide emission from transport sector in Beijing-Tianjin-Hebei region. J Clean Prod 226:692–705. https://doi.org/10.1016/j.jclepro.2019.04.095
Han X, Xu Y, Kumar A, Lu X (2018) Decoupling analysis of transportation carbon emissions and economic growth in China. Environ Prog Sustain 37:1696–1704. https://doi.org/10.1002/ep.12857
Inglesi-Lotz R (2019) Energy research and R&D indicators: An LMDI decomposition analysis for the IEA Big 5 in energy research. Energ Policy 133:110940. https://doi.org/10.1016/j.enpol.2019.110940
Jiang B, Ding L, Fang X (2019) Sustainable development of new urbanization from the perspective of coordination: a new complex system of urbanization-technology innovation and the atmospheric environment. Atmosphere-Basel 11:652. https://doi.org/10.3390/atmos10110652
Li H, Qin Q (2019) Challenges for China's carbon emissions peaking in 2030: A decomposition and decoupling analysis. J Clean Prod 207:857–865. https://doi.org/10.1016/j.jclepro.2018.10.043
Liu M, Yang J, Ma D, Ding Z (2015) Spatial disparity and factor analysis of major air pollutant emissions in China based on LMDI methods. Resour Sci 37:333–341
Liu J, Kiesewetter G, Klimont Z, Cofala J, Heyes C, Schoepp W, Zhu T, Cao G, Sanabria AG, Sander R, Guo F, Zhang Q, Binh N, Bertok I, Rafaj P, Amann M (2019) Mitigation pathways of air pollution from residential emissions in the Beijing-Tianjin-Hebei region in China. Environ Int 125:236–244. https://doi.org/10.1016/j.envint.2018.09.059
Lu Q, Yang H, Huang X, Chuai X, Wu C (2015) Multi-sectoral decomposition in decoupling industrial growth from carbon emissions in the developed Jiangsu Province, China. Energy 82:414–425. https://doi.org/10.1016/j.energy.2015.01.052
Lu Y, He Y, Wang B, Ye S, Hua Y, Ding L (2019) Efficiency evaluation of atmospheric pollutants emission in Zhejiang Province China: A DEA-Malmquist based approach. Sustainability-Basel 11. https://doi.org/10.3390/su11174544
Ma L (2016) Decomposition of China's industrial environment pollution change based on LMDI. Geogr Res Aust 35:1857–1868. https://doi.org/10.11821/dlyj201610005
Madaleno M, Moutinho V (2018) Effects decomposition: separation of carbon emissions decoupling and decoupling effort in aggregated EU-15. Environ Dev Sustain 201:181–198. https://doi.org/10.1007/s10668-018-0238-4
Naqvi A, Zwickl K (2017) Fifty shades of green: Revisiting decoupling by economic sectors and air pollutants. Ecol Econ 133:111–126. https://doi.org/10.1016/j.ecolecon.2016.09.017
O S (2002) Indicators to measure decoupling of environmental pressure from economic growth. Sustain Dev SG/SD 2002
Shuai C, Chen X, Wu Y, Zhang Y, Tan Y (2019) A three-step strategy for decoupling economic growth from carbon emission: Empirical evidences from 133 countries. Sci Total Environ 646:524–543. https://doi.org/10.1016/j.scitotenv.2018.07.045
Song Y, Sun J, Zhang M, Su B (2020) Using the Tapio-Z decoupling model to evaluate the decoupling status of China's CO2 emissions at provincial level and its dynamic trend. Struct Chang Econ D 52:120–129. https://doi.org/10.1016/j.strueco.2019.10.004
Sorrell S, Lehtonen M, Stapleton L, Pujol J, Champion T (2012) Decoupling of road freight energy use from economic growth in the United Kingdom. Energ Policy 41:84–97. https://doi.org/10.1016/j.enpol.2010.07.007
Tan F, Bi J (2018) An inquiry into water transfer network of the Yangtze River Economic Belt in China. J Clean Prod 176:288–297. https://doi.org/10.1016/j.jclepro.2017.12.129
Tapio P (2005) Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transp Policy 12:137–151. https://doi.org/10.1016/j.tranpol.2005.01.001
Wang M, Feng C (2018) Investigating the drivers of energy-related CO2 emissions in China's industrial sector: From regional and provincial perspectives. Struct Chang Econ D 46:136–147. https://doi.org/10.1016/j.strueco.2018.05.003
Wang Q, Wang S (2019) A comparison of decomposition the decoupling carbon emissions from economic growth in transport sector of selected provinces in eastern, central and western China. J Clean Prod 229:570–581. https://doi.org/10.1016/j.jclepro.2019.04.375
Wang H, Hashimoto S, Yue Q, Moriguchi Y, Lu Z (2013) Decoupling analysis of four selected countries: China, Russia, Japan, and the United States during 2000-2007. J Ind Ecol 17:618–629. https://doi.org/10.1111/jiec.12005
Wang Q, Wang Y, Zhou P, Wei H (2017a) Whole process decomposition of energy-related SO2 in Jiangsu Province, China. Appl Energy 194:679–687. https://doi.org/10.1016/j.apenergy.2016.05.073
Wang W, Li M, Zhang M (2017b) Study on the changes of the decoupling indicator between energy-related CO2 emission and GDP in China. Energy 128:11–18. https://doi.org/10.1016/j.energy.2017.04.004
Wang Y, Liu H, Mao G, Zuo J, Ma J (2017c) Inter-regional and sectoral linkage analysis of air pollution in Beijing-Tianjin-Hebei (Jing-Jin-Ji) urban agglomeration of China. J Clean Prod 165:1436–1444. https://doi.org/10.1016/j.jclepro.2017.07.210
Wang H, Pan C, Zhou P (2019a) Assessing the role of domestic value chains in China's CO2 emission intensity: A multi-region structural decomposition analysis. Environ Resour Econ 74:865–890. https://doi.org/10.1007/s10640-019-00351-w
Wang Q, Jiang R, Zhan L (2019b) Is decoupling economic growth from fuel consumption possible in developing countries? - A comparison of China and India. J Clean Prod 229:806–817. https://doi.org/10.1016/j.jclepro.2019.04.403
Wang L, Wang Y, He H, Lu Y, Zhou Z (2020) Driving force analysis of the nitrogen oxides intensity related to electricity sector in China based on the LMDI method. J Clean Prod 242. https://doi.org/10.1016/j.jclepro.2019.118364
Wen Y, Ma Z, Wu Y, Zhou K, Shi L, Wang M (2018) Factors decomposition of industrial air pollutant emissions in Beijing-Tianjin-Hebei region and surrounding areas based on LMDI model analysis. China Environ Sci 38:4730–4736. https://doi.org/10.19674/j.cnki.issn1000-6923.2018.0534
Wood R, Lenzen M (2006) Zero-value problems of the logarithmic mean divisia index decomposition method. Energ Policy 34:1326–1331. https://doi.org/10.1016/j.enpol.2004.11.010
Wu Y, Zhu Q, Zhu B (2018) Decoupling analysis of world economic growth and CO2 emissions: A study comparing developed and developing countries. J Clean Prod 190:94–103. https://doi.org/10.1016/j.jclepro.2018.04.139
Xia H, Ding L, Zeng K, Liu C (2017) Atmospheric pollution effects in the process of industrial development of the Yangize River Economic Belt during 1996-2013. Resour Environ Yangtze Basin 26:1057–1067. https://doi.org/10.11870/cjlyzyyhj201707012
Xu XY, Ang BW (2013) Index decomposition analysis applied to CO2 emission studies. Ecol Econ 93:313–329. https://doi.org/10.1016/j.ecolecon.2013.06.007
Xu C, Cheng Y (2016) The action of environmental regulation on industrial structure adjustment and atmospheric environment effect under the new normal in Shandong Province. J Nat Resour 31:1662–1674. https://doi.org/10.11849/zrzyxb.20151256
Yang J, Cai W, Ma M, Li L, Liu C, Ma X, Chen X (2019) Driving forces of China's CO2 emissions from energy consumption based on Kaya-LMDI methods. Sci Total Environ 134569. https://doi.org/10.1016/j.scitotenv.2019.134569
Yu Y, Chen D, Zhu B, Hu S (2013) Eco-efficiency trends in China, 1978-2010: Decoupling environmental pressure from economic growth. Ecol Indic 24:177–184. https://doi.org/10.1016/j.ecolind.2012.06.007
Zhang Y, Da Y (2015) The decomposition of energy-related carbon emission and its decoupling with economic growth in China. Renew Sust Energ Rev 41:1255–1266. https://doi.org/10.1016/j.rser.2014.09.021
Zhang W, Li K, Zhou D, Zhang W, Gao H (2016) Decomposition of intensity of energy-related CO2 emission in Chinese provinces using the LMDI method. Energ Policy 92:369–381. https://doi.org/10.1016/j.enpol.2016.02.026
Zhang H, Chen Z, Chenjun Z (2019a) Spatial and Temporal Differentiation of China's Land-sea Coordination Performance and Influencing Factors: Based on Vulnerability Perspective. Areal Res Dev 38:13–18. https://doi.org/10.3969/j.issn.1003-2363.2019.02.003
Zhang H, Chen Z, Zhang C (2019b) Decoupling efforts of environmental pressure of industrial wastewater and economic growth in Yangtze River Economic Belt. Areal Res Dev 38:13–18. https://doi.org/10.3969/j.issn.1003-2363.2019.02.003
Zhang Y, Shuai C, Bian J, Chen X, Wu Y, Shen L (2019c) Socioeconomic factors of PM2.5 concentrations in 152 Chinese cities: Decomposition analysis using LMDI. J Clean Prod 218:96–107. https://doi.org/10.1016/j.jclepro.2019.01.322
Zhou X, Zhang M, Zhou M, Zhou M (2017) A comparative study on decoupling relationship and influence factors between China's regional economic development and industrial energy-related carbon emissions. J Clean Prod 142:783–800. https://doi.org/10.1016/j.jclepro.2016.09.115
Zhu W, Wang M, Zhang B (2019) The effects of urbanization on PM2.5 concentrations in China's Yangtze River Economic Belt: New evidence from spatial econometric analysis. J Clean Prod 239. https://doi.org/10.1016/j.jclepro.2019.118065
Funding
This work is financially supported by the Soft Science Research Project in Zhejiang Province (Grant No. 2019C35108) and the Humanities and Social Sciences Planning Research Fund Project of Ministry of Education of China (Grant No.18YJA880013).
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible Editor: Marcus Schulz
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Xia, H., Ding, L., Yang, S. et al. Socioeconomic factors of industrial air pollutants in Zhejiang Province, China: Decoupling and Decomposition analysis. Environ Sci Pollut Res 27, 28247–28266 (2020). https://doi.org/10.1007/s11356-020-09116-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-020-09116-1