Abstract
Environmental degradation, often evidenced by haze, has not only increased the cost of China’s economic development, but its unfair distribution among regional development, social hierarchy, and generations has also reduced quality of life. Hence, this study uses cross-sectional data from Didi, a Chinese ridesourcing service company, from 2017 to study the impact mechanism of shared mobility on haze. First, it applies the generalized spatial two-stage least squares model after controlling for urban economic, geographic, transportation, meteorological, and policy variables. We then use urbanization depth (urban agglomeration) and breadth (urban sprawl) variables, which represent the intensity and scope of human activities, respectively, as mediators to test the transmission mechanism from shared mobility to haze. Finally, differences based on urban heterogeneity were tested in the end. The study finds that the scale of ridesourcing and haze show a significant U-shaped relationship: the initial development of ridesourcing has a significant effect on reducing haze, but will then intensify haze as it develops to scales such as those of Beijing and Shenzhen. Moreover, the depth of urbanization is the main transmission mechanism of haze. This conclusion is verified in Tier 3 cities and above; however, the transmission mechanism in Tier 4 and Tier 5 cities is not obvious, indicating that the scale of ridesourcing should be compatible with the scale of urban development. Therefore, the design of emission reduction policies should be considered from the perspective of urban agglomeration.
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References
Baron RM, Kenny DA (1986) The moderator mediator variable distinction in social psychological-research-conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51(6):1173–1182
Bastola U, Sapkota P (2015) Relationships among energy consumption, pollution emission, and economic growth in Nepal. Energy 80:254–262
Bereitschaft B, Debbage K (2013) Urban form, air pollution, and CO2 emissions in large U.S. Metropolitan Areas. Prof Geogr 65(4):612–635
Borrego C, Martins H, Tchepel O, Salmim L, Monteiro A, Miranda AT (2006) How urban structure can affect city sustainability from an air quality perspective. Environ Model Softw 21(4):461–467
Bruzzone F, Scorrano M, Nocera S (2020) The combination of e-bike-sharing and demand-responsive transport systems in rural areas: a case study of Velenje. Res Transp Bus Manag 100570
Cai W, Li K, Liao H, Wang H, Wu L (2017) Weather conditions conducive to Beijing severe haze more frequent under climate change. Nat Clim Chang 7(4):257–262
Carrión-Flores CE, Innes R (2010) Environmental innovation and environmental performance. J Environ Econ Manag 59(1):27–42
Chen GP (2016) Research on private car sharing mode to relieve urban traffic congestion under the perspective of “Internet+ Transportation”. Urban Dev Res 23(02):105–109
Chen X, Zhang H (2012) Evaluation of effects of car ownership policies in Chinese megacities: Beijing and Shanghai. Transp Res Rec 2317(1):32–39
Chen J, Zhuo L, Peijun S, Toshiaki I (2003) Study of urbanization process in China based on DMSP/OLS data--construction of light index reflecting regional urbanization level. J Remote Sens 7(3):168–175
Chen Z, Wang J, Ma G, Zhang Y (2013) China tackles the health effects of air pollution. Lancet 382(9909):1959–1960
Chen S, Zhang Y, Zhang Y, Liu Z (2019) The relationship between industrial restructuring and China’s regional haze pollution: a spatial spillover perspective. J Clean Prod 239:115808
Clewlow RR, Mishra GS (2017) Disruptive transportation: the adoption, utilization, and impacts of ride-hailing in the United States.
Dietz T, Rosa EA (1997) Effects of population and affluence on CO2 emissions. Proc Natl Acad Sci U S A 94(1):175–179
Dong B, Gong J, Zhao X (2012) FDI and environmental regulation: pollution haven or a race to the top? J Regul Econ 41(2):216–237
Dong F, Zhang S, Long R, Zhang X, Sun Z (2019) Determinants of haze pollution: an analysis from the perspective of spatiotemporal heterogeneity. J Clean Prod 222:768–783
Du G, Liu S, Lei N, Huang Y (2018) A test of environmental Kuznets curve for haze pollution in China: evidence from the penal data of 27 capital cities. J Clean Prod 205:821–827
Gan T, Liang W, Yang H, Liao X (2020) The effect of Economic Development on haze pollution (PM2.5) based on a spatial perspective: urbanization as a mediating variable. J Clean Prod 266:121880
Glaeser EL, Kahn ME (2004) Sprawl and urban growth. Handb Reg Urban Econ 4:2481–2527
Glaeser EL, Kahn ME (2010) The greenness of cities: Carbon dioxide emissions and urban development. J Urban Econ 67(3):404–418
Hasan MA, Frame DJ, Chapman R, Archie KM (2019) Emissions from the road transport sector of New Zealand: key drivers and challenges. Environ Sci Pollut Res:1–21
Heinrichs H (2013) Sharing economy: a potential new pathway to sustainability. Gaia-Ecol Perspect Sci Soc 22(4):228–231
Holden E, Norland IT (2005) Three challenges for the compact city as a sustainable urban form: household consumption of energy and transport in eight residential areas in the Greater Oslo Region. Urban Stud 42(12):2145–2166
Jaffe D, Anderson T, Covert D, Kotchenruther R, Trost B, Danielson J, Simpson W, Berntsen T, Karlsdottir S, Blake D, Harris J, Carmichael G, Uno I (1999) Transport of Asian air pollution to North America. Geophys Res Lett 26(6):711–714
Jenn A (2020) Emissions benefits of electric vehicles in Uber and Lyft ride-hailing services. Nat Energy 5(7):520–525
Jin ST, Kong H, Wu R, Sui DZ (2018) Ridesourcing, the sharing economy, and the future of cities. Cities 76:96–104
Keller W (2002) Geographic localization of international technology diffusion. Am Econ Rev 92(1):120–142
Kinigadner J, Büttner B, Wulfhorst G, Vale D (2020) Planning for low carbon mobility: impacts of transport interventions and location on carbon-based accessibility. J Transp Geogr 87:102797
Li M, Mao C (2020) Spatial effect of industrial energy consumption structure and transportation on haze pollution in Beijing-Tianjin-Hebei region. Int J Environ Res Public Health 17(561015)
Li W, Pu Z, Li Y, Jeff Ban X (2019) Characterization of ridesplitting based on observed data: a case study of Chengdu, China. Transp Res Part C Emerg Technol 100:330–353
Liu Q, Ma T, Olson MR, Liu Y, Zhang T, Wu Y, Schauer JJ (2016) Temporal variations of black carbon during haze and non-haze days in Beijing. Sci Rep 6(1):33331
Liu L, Ding D, He J (2019) Fiscal decentralization, economic growth, and haze pollution decoupling effects: a simple model and evidence from China. Comput Econ 54(4):1423–1441
Liu F, Zhao F, Liu Z, Hao H (2020) The impact of purchase restriction policy on car ownership in China’s four major cities. J Adv Transp:2020
Lue A, Colorni A, Nocerino R, Paruscio V (2012) Green Move: an innovative electric vehicle-sharing system. In: Papaioannou P (ed) Procedia Social and Behavioral Sciences, vol 48, pp 2978–2987
Ma L, Liu S, Zhang X (2016) Energy structure, traffic patterns and haze pollution - a study based on spatial metrological models. Finance Trade Econ 37(01):147–160
Mahriyar MZ, Rho JH (2014) The compact city concept in creating resilient city and transportation system in Surabaya. Procedia Soc Behav Sci 135:41–49
Merlin LA (2019) Transportation sustainability follows from more people in fewer vehicles, not necessarily automation. J Am Plan Assoc 85(4):501–510
Nijland H, van Meerkerk J (2017) Mobility and environmental impacts of car sharing in the Netherlands. Environ Innov Soc Transit 23:84–91
Poon JPH, Casas I, He C (2006) The impact of energy, transport, and trade on air pollution in China. Eurasian Geogr Econ 47(5):568–584
Prastiyo SE, Hardyastuti S (2020) How agriculture, manufacture, and urbanization induced carbon emission? The case of Indonesia. Environ Sci Pollut Res 27(33):42092–42103
Raskin PD (1995) Methods for estimating the population contribution to environmental change. Ecol Econ 15(3):225–233
Rode P, Floater G, Thomopoulos N, Docherty J, Schwinger P, Mahendra A, Fang W (2017) Accessibility in cities: transport and urban form. In: Meyer G, Shaheen S (eds) Disrupting Mobility: Impacts of Sharing Economy and Innovative Transportation on Cities. Springer International Publishing, Cham, pp 239–273
Rodriguez MC, Dupont-Courtade L, Oueslati W (2016) Air pollution and urban structure linkages: evidence from European cities. Renew Sustain Energy Rev 53:1–9
Shaheen S, Chan N, Bansal A, Cohen A (2015) Shared mobility: a sustainability & technologies workshop: definitions, industry developments, and early understanding.
Shao S, Li X, Cao J, Yang L (2016) Economic policy options for haze pollution control in China - a perspective based on spatial spillover effects. Econ Res J 51(09):73–88
Shao S, Li X, Cao J (2019) Urbanization promotion and haze pollution governance in China. Econ Res J 54(02):148–165
Shi J, Tan Z (2018) The multi-dimensional interaction between the sharing economy and the new urbanization strategy under the perspective of coordinated development. Urban Dev Res 25(02):118–124
Song Y, Zhou A, Zhang M, Wang H (2019) Assessing the effects of haze pollution on subjective well-being based on Chinese General Social Survey. J Clean Prod 235:574–582
Stone B Jr (2008) Urban sprawl and air quality in large US cities. J Environ Manag 86(4):688–698
Tirachini A, Gomez-Lobo A (2020) Does ride-hailing increase or decrease vehicle kilometers traveled (VKT)? A simulation approach for Santiago de Chile. Int J Sustain Transp 14(3):187–204
Tirachini A, Chaniotakis E, Abouelela M, Antoniou C (2020) The sustainability of shared mobility: can a platform for shared rides reduce motorized traffic in cities? Transp Res Part C Emerg Technol 117:102707
Waggoner PE, Ausubel JH (2002) A framework for sustainability science: a renovated IPAT identity. Proc Natl Acad Sci U S A 99(12):7860–7865
Wang Z, Wu T, Shi G, Fu X, Tian Y, Feng Y, Wu XF, Wu G, Bai ZP, Zhang WJ (2012) Potential source analysis for PM10 and PM2.5 in autumn in a northern city in China. Aerosol Air Qual Res 12(1):39–48
Wang H, Liu C, Zhao J (2018) Traffic congestion and haze pollution: a new perspective based on work-life balance. Finance Trade Econ 39(01):147–160
Xie R, Fang J, Liu C (2017) The effects of transportation infrastructure on urban carbon emissions. Appl Energy 196:199–207
York R, Rosa EA, Dietz T (2002) Bridging environmental science with environmental policy: plasticity of population, affluence, and technology. Soc Sci Q 83(1):18–34
Yu L, Wang G, Zhang R, Zhang L, Song Y, Wu B, Li X, An K, Chu J (2013) Characterization and source apportionment of PM2.5 in an urban environment in Beijing. Aerosol Air Qual Res 13(2):574–583
Yue W, Lia X, Liu J, Li Y, Yu X, Deng B et al (2006) Characterization of PM2.5 in the ambient air of Shanghai city by analyzing individual particles. Sci Total Environ 368(2-3):916–925
Zheng S, Wang R, Glaeser EL, Kahn ME (2011) The greenness of China: household carbon dioxide emissions and urban development. J Econ Geogr 11(5):761–792
Zhu D (2017) The problem of ridesharing in post-car era cities: a reflection based on the perspective of circular economy. Urban Transp China 15(05):12–19
Acknowledgements
We would like to thank the editor and the anonymous referees for their valuable comments on this study.
Funding
The first author is supported by the China Scholarship Council (202006270227). This work was supported by the Youth project of Liaoning social science planning fund (L20CJL001); General support from China Postdoctoral Science Foundation (2020M680960).
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Xueli Wang: conceptualization, methodology, data curation, writing-original draft. Song Wang: conceptualization, writing-review and editing. Lei Wang: writing-review and editing. Fei Fan: calculation double check and editing.
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Wang, X., Wang, S., Wang, L. et al. Has ridesourcing reduced haze? An analysis using the Didi app. Environ Sci Pollut Res 28, 45571–45585 (2021). https://doi.org/10.1007/s11356-021-13934-2
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DOI: https://doi.org/10.1007/s11356-021-13934-2