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Factors influencing public support for banning gasoline vehicles in newly industrialized countries for the sake of environmental improvement: a case study of China

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Abstract

In recent years, various countries have put forward Banning Gasoline Vehicle Sales Policy (BGVSP), and the degree of public support for BGVSP is crucial to its design and implementation. Taking China as an example, this study built a policy support index using network crawler technology and natural language processing technology. Then, multi-spatial convergence cross-mapping technology was used to study the interaction between public support and air pollution, electric vehicle (EV) infrastructure, EV technology, and use cost. The results showed that air pollution has a significant impact on public support; public support has a significant impact on the construction of the EV infrastructure and the level of EV technological research, and the use cost of traditional gasoline vehicles has a significant impact on public support. This study investigated the correlations between public support and the factors influencing public support, and the results can be used as a reference for the design and implementation of BGVSP in newly industrialized countries.

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References

  • Chau KT, Wong YS (2002) Overview of power management in hybrid electric vehicles. Energ Convers Manage 43(15):1953–1968

    Article  Google Scholar 

  • Chen S, Oliva P, Zhang P (2018) Air pollution and mental health: evidence from China. Nber Working Papers

  • Clark AT, Ye H, Isbell F et al (2015) Spatial convergent cross mapping to detect causal relationships from short time series. Ecology 96(5):1174–1181

    Article  Google Scholar 

  • Cui L, Li R, Song M, Zhu L (2019) Can China achieve its 2030 energy development targets by fulfilling carbon intensity reduction commitments? Energ Econ 83:61–73

    Article  Google Scholar 

  • Cummins B, Gedeon T, Spendlove K (2015) On the efficacy of state space reconstruction methods in determining causality. SIAM J Appl Dyn Syst 14(1):335–381

    Article  Google Scholar 

  • Currie J, Davis L, Greenstone M, Walker R (2015) Environmental health risks and housing values: evidence from 1,600 toxic plant openings and closings. Am Econ Rev 105(2):678–709

    Article  Google Scholar 

  • Dong F, Wang Y, Su B et al (2019a) The process of peak CO2 emissions in developed economies: a perspective of industrialization and urbanization. Resour Conserv Recy 141:61–75

    Article  Google Scholar 

  • Dong F, Yu B, Pan Y (2019b) Examining the synergistic effect of CO2 emissions on PM2.5 emissions reduction: evidence from China. J Clean Prod 223:759–771

    Article  CAS  Google Scholar 

  • Dong F, Zhang S, Long R, Zhang X, Sun Z (2019c) Determinants of haze pollution: an analysis from the perspective of spatiotemporal heterogeneity. J Clean Prod 222:768–783

    Article  CAS  Google Scholar 

  • Dong F, Li Y, Pan Y, Zheng L (2020) Model data analysis of global development, haze and healthy life expectancy. Syst Eng 39(1):31–42 (in Chinese)

    Google Scholar 

  • Dong F, Liu Y (2020a) Policy evolution and effect evaluation of new-energy vehicle industry in China. Resour Policy 67:101655

  • Dong F, Pan Y, Li Y, Zhang S (2021) How public and government matter in industrial pollution mitigation performance: evidence from China. J Clean Prod 306:127099

  • Ebenstein A, Fan M, Greenstone M, He G, Zhou M (2013) Evidence on the impact of sustained exposure to air pollution on life expectancy from China’s Huai River policy. Proc Natl Acad Sci U S A 114(39):10384–10389

    Article  CAS  Google Scholar 

  • Ebenstein A, Fan M, Greenstone M, He G, Yin P, Zhou M (2015) Growth, pollution, and life expectancy: China from 1991–2012. Social Science Electronic Publishing 105(5):226–231

    Google Scholar 

  • Esling P, Agon C (2012) Time-series data mining. ACM Comput Surv 45(1):1–34

    Article  Google Scholar 

  • Fang D, Yu B (2021) Driving mechanism and decoupling effect of PM2.5 emissions: Empirical evidence from China’s industrial sector. Energ Policy 149:112017

  • Frank MR, Mitchell L, Dodds PS, Danforth CM (2013) Happiness and the patterns of life: a study of geolocated tweets. Sci Rep 3

  • Frewer L (2004) The public and effective risk communication. Toxicol Lett 149(1–3):391–397

    Article  CAS  Google Scholar 

  • Fu TC (2011) A review on time series data mining. Eng Appl Artif Intell 24(1):164–181

    Article  Google Scholar 

  • Gao S, Li W, Ling S, Dou X, Liu X (2019) An empirical study on the influence path of environmental risk perception on behavioral responses in China. Int J Environ Res Public Health 16(16):2856

    Article  Google Scholar 

  • Ghude SD, R., J.V.d.A., Beig G, Fadnavis S, Polade SD (2009) Satellite derived trends in NO2 over the major global hotspot regions during the past decade and their inter-comparison. Environ Pollut 157(6):1873–1878

  • Glaser A (2012) From Brokdorf to Fukushima: the long journey to nuclear phase-out. Bull Atom Scient 68(6):10–21

    Article  Google Scholar 

  • Glatzer W, Camfield L, Møller V, Rojas M (2015) Global handbook of quality of life. International handbooks of quality-of-life

  • Goodfellow MJ, Williams HR, Azapagic A (2011) Nuclear renaissance, public perception and design criteria: an exploratory review. Energ Policy 39(10):6199–6210

    Article  Google Scholar 

  • Granger CWJ (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37(3):424–438

    Article  Google Scholar 

  • Greenhalgh C, Azapagic A (2009) Review of drivers and barriers for nuclear power in the UK. Environ Sci Policy 12(7):1052–1067

    Article  Google Scholar 

  • Greenstone M, Hanna R (2011) Environmental regulations, air and water pollution, and infant mortality in India. Social Science Electronic Publishing 104(10):1573–1576

    Google Scholar 

  • Guo T, Campbell-Arvai V, Cardinale BJ (2021) Why does the public support or oppose agricultural nutrient runoff regulations? The effects of political orientation, environmental worldview, and policy specific beliefs. J Environ Manage 279:111708

  • Habich-Sobiegalla S, Kostka G, Anzinger N (2019) Citizens’ electric vehicle purchase intentions in China: an analysis of micro-level and macro-level factors. Transp Policy 79(JUL.):23–233

  • Helveston JP, Liu Y, Feit EM, Fuchs E, Klampfl E, Michalek JJ (2015) Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the US and China. Transp Res Pt A-Policy Pract 73A(Mar.):96–112

  • Hiemstra C, Jones JD (1994) Testing for linear and nonlinear Granger causality in the stock price-volume relation. J Financ 49(5):1639–1664

    Google Scholar 

  • Hoppmann J, Peters M, Schneider M, Hoffmann VH (2013) The two faces of market support—how deployment policies affect technological exploration and exploitation in the solar photovoltaic industry. Resour Policy 42(4):989–1003

    Article  Google Scholar 

  • Huber RA, Wicki ML, Bernauer T (2019) Public support for environmental policy depends on beliefs concerning effectiveness, intrusiveness, and fairness. Environ Polit 29(4):1–25

    Google Scholar 

  • Jaffe AB (1995) Environmental regulation and the competitiveness of US manufacturing: what does the evidence tell us? J Econ Lit 33(1):132–163

    Google Scholar 

  • Kang H, Liu Y, Li T (2017) Characteristics of air quality index and its relationship with meteorological factors in key cities of Heilongjiang province. J Nat Reso 32(4):692–703 ((in Chinese))

    Google Scholar 

  • Kang I, Jee H, Shin M (2018) Affective policy performance evaluation model: a case of an international trade policy implementation. Sustainability 10(1):232

    Article  Google Scholar 

  • Kantz H, Schreiber T (2004) Nonlinear time series analysis. Cambridge University Press

    Google Scholar 

  • Katerina Hlaváková-Schindler, a, B, M.P., B, M.V., C, J.B.A. (2007) Causality detection based on information-theoretic approaches in time series analysis. Phys Rep 441(1):1–46

    Article  Google Scholar 

  • Kleinberg S, Hripcsak G (2011) A review of causal inference for biomedical informatics. J Biomed Inform 44(6):1102–1112

    Article  Google Scholar 

  • Kongats K, McGetrick JA, Raine KD, Nykiforuk CIJ (2020) Using the intervention ladder to examine policy influencer and general public support for potential tobacco control policies in Alberta and Quebec. Health Promotion and Chronic Disease Prevention in Canada: Research, Policy and Practice 40(2):47–57

    Article  Google Scholar 

  • Kubesch N, Nazelle AD, Guerra S, Westerdahl D, Nieuwenhuijsen M (2015) Arterial blood pressure responses to short-term exposure to low and high traffic-related air pollution with and without moderate physical activity. Eur J Prev Cardiol 22(5):548–557

    Article  CAS  Google Scholar 

  • Larsson J, Matti S, Nässén J (2020) Public support for aviation policy measures in Sweden. Clim Policy 20(10):1305–1321

    Article  Google Scholar 

  • Liao X, Shen S, Shi X (2020) The effects of behavioral intention on the choice to purchase energy-saving appliances in China: the role of environmental attitude, concern, and perceived psychological benefits in shaping intention. Energ Effic 13(1):33–49

    Article  Google Scholar 

  • Liu Y, Dong F (2022) What are the roles of consumers, automobile production enterprises, and the government in the process of banning gasoline vehicles? Evidence from a tripartite evolutionary game model. Energy 238:122004

  • Liu H, Lei M (2019) The causality between traffic congestion and smog pollution—an empirical study using covergent cross mapping. Statal Research 036(010):43–57 ((in Chinese))

    Google Scholar 

  • Niedermeier M, Friihauf A, Ledochowski L (2016) Acute effects of outdoor physical activity on affect and psychological well-being in depressed patients - a preliminary study. Ment Health Phys Act 10:4–9

    Article  Google Scholar 

  • Pan Y, Dong F (2022a) Design of energy use rights trading policy from the perspective of energy vulnerability. Energ Policy 160:112668

  • Pan Y, Dong F (2022b) Dynamic evolution and driving factors of new energy development: Fresh evidence from China. Technol Forecast Soc 176:121475

  • Pelletier LG, Lavergne KJ, Sharp EC (2008) Environmental psychology and sustainability: comments on topics important for our future. Can Psychol 49(4):304–308

    Article  Google Scholar 

  • Pinto JG, Monteiro V, Goncalves H, Afonso JL (2014) Onboard reconfigurable battery charger for electric vehicles with traction-to-auxiliary mode. IEEE Trans Veh Technol 63(3):1104–1116

    Article  Google Scholar 

  • Proshansky Harold M (1990) The pursuit of understanding: an intellectual history. Human Behavior & Environment: Advances inheory Research 11:9–30

  • Shahzad U, Buhari DGB, Sinha A, Fareed Z (2020a) Does export product diversification help to reduce energy demand: exploring the contextual evidences from the newly industrialized countries. Energy 214:118881

  • Shahzad U, Ferraz D, Doan B, Rebelatto DADN (2020b) Export product diversification and CO2 emissions: contextual evidences from developing and developed economies. J Clean Prod 276:124146

  • She ZY, Sun Q, Ma JJ, Xie BC (2017) What are the barriers to widespread adoption of battery electric vehicles? A survey of public perception in Tianjin. China Transp Policy 56(MAY):29–40

    Article  Google Scholar 

  • Shi Y (2018) Public appeal and the implementation effect of environmental regulation policies in China. Journal of Dalian University of Technology (social Sciences) 156(02):115–124 ((in Chinese))

    Google Scholar 

  • Shi X, Sun Y, Shen Y (2021) China’s ambitious energy transition plans. Science 373(6551):170

    Article  CAS  Google Scholar 

  • Shi X, Wang K, Shen Y, Zhang Y, Sheng Y (2020) A permit trading scheme for facilitating energy transition: a case study of coal capacity control in China. J Clean Prod 256:120472

  • Sugihara G, May RM (1990) Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature 344:734–741

    Article  CAS  Google Scholar 

  • Sugihara G, May R, Ye H, Hsieh CH, Deyle E, Fogarty M et al (2012) Detecting causality in complex ecosystems. Science 338(6106):496–500

    Article  CAS  Google Scholar 

  • Taghizadeh S, Hossain MJ, Lu J (2016) Bidirectional isolated vehicle to grid (V2G) system: an optimized implementation and approach. IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) 2015:1–5

    Google Scholar 

  • Takens F (1981) Detecting strange attractors in turbulence, in dynamical systems and turbulence, warwick, 1980. Lect Notes Math 898:366–381

    Article  Google Scholar 

  • Victor P (2010) Questioning economic growth. Nature 468(7322):370–371

    Article  CAS  Google Scholar 

  • Xin W, Smyth R (2010) Economic openness and subjective well-being in China. China World Econ 18(2):22–40

    Article  Google Scholar 

  • Yang J, Zhang Y (2014) Pricing air pollution: an analysis based on happiness data. J World Econ 12:162–188 (in Chinese)

    Google Scholar 

  • Ye H, Beamish RJ, Glaser SM, Grant SCH, Hsieh CH, Richards LJ et al (2015) Equation-free mechanistic ecosystem forecasting using empirical dynamic modeling. Proc Natl Acad Sci U S A 112(13):1569–1576

    Article  CAS  Google Scholar 

  • Yu B, Fang D (2021) Decoupling economic growth from energy-related PM2.5 emissions in China: a GDIM-based indicator decomposition. Ecol Indic 127:107795

  • Yu B, Fang D, Meng J (2021) Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China. Energy 234:121295

  • Zhang X, Dong F (2021) How virtual social capital affects behavioral intention of sustainable clothing consumption pattern in developing economies? A case study of China. Resour Conserv Recy 170:105616

  • Zhang SP, Han LJ, Zhou WQ (2016) Relationships between fine particulate matter (PM2.5) and meteorological factors in winter at typical Chinese cities. Acta Ecologica Sinica 36(24):7897–7907

  • Zheng S, Wang J, Sun C, Zhang X, Matthew E (2019) Air pollution lowers Chinese urbanites’ expressed happiness on social media. Nat Hum Behav 3(3):237–243

    Article  Google Scholar 

  • Zou C, Feng J (2009) Granger causality vs. dynamic Bayesian network inference: a comparative study. BMC Bioinformatics 10:122

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Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 71974188), Major Program of National Philosophy and Social Science Foundation of China (Grant No. 21ZDA086), and Humanities and Social Sciences Special Research Fund of Ministry of Education in China (Research on Talents Training for Engineering Science and Technology, Grant No. 19JDGC011).

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Feng Dong conceived the idea of this paper. Kun Li, Yangfan Li, Yajie Liu, and Lu Zheng performed the model. Feng Dong and Kun Li wrote the paper.

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Correspondence to Feng Dong.

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Dong, F., Li, K., Li, Y. et al. Factors influencing public support for banning gasoline vehicles in newly industrialized countries for the sake of environmental improvement: a case study of China. Environ Sci Pollut Res 29, 43942–43954 (2022). https://doi.org/10.1007/s11356-022-18884-x

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