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Urban public transport and air quality: Empirical study of China cities

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  • Sun, Chuanwang
  • Zhang, Wenyue
  • Fang, Xingming
  • Gao, Xiang
  • Xu, Meilian

Abstract

To analyze the impact of the increase of public transport on the urban air quality will contribute to the sustainable development of urbanization. But many existing studies have not paid attention to the potential endogeneity of estimation, which comes from the fact that the deterioration of air quality would in turn affect the policies of public transport investment. This paper attempts to control this endogeneity by introducing an instrument variable of the urban built-up area into the empirical models. Using city-level data from China, our study adopts 2SLS method and conducts a series of robustness tests to ensure the estimation results more convincing and robust. The results show that the urban air quality could be improved if the city provides more buses for public transport. Moreover, after controlling the endogeneity, the marginal improving effect of increasing the public transport on urban air quality could be larger from 0.082 to 0.678. This finding indicates that the endogeneity bias is likely to cause the underestimation of the improving effect, and may result in some errors of the policy decisions of urban investment.

Suggested Citation

  • Sun, Chuanwang & Zhang, Wenyue & Fang, Xingming & Gao, Xiang & Xu, Meilian, 2019. "Urban public transport and air quality: Empirical study of China cities," Energy Policy, Elsevier, vol. 135(C).
  • Handle: RePEc:eee:enepol:v:135:y:2019:i:c:s0301421519305853
    DOI: 10.1016/j.enpol.2019.110998
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    1. Zaman, Khalid & Abd-el Moemen, Mitwali, 2017. "The influence of electricity production, permanent cropland, high technology exports, and health expenditures on air pollution in Latin America and the Caribbean Countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1004-1010.
    2. Duran-Fernandez, Roberto & Santos, Georgina, 2014. "A GIS model of the National Road Network in Mexico," Research in Transportation Economics, Elsevier, vol. 46(C), pages 36-54.
    3. Siqi Zheng & Matthew E. Kahn, 2013. "Understanding China's Urban Pollution Dynamics," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 731-772, September.
    4. Yihsu Chen & Alexander Whalley, 2012. "Green Infrastructure: The Effects of Urban Rail Transit on Air Quality," American Economic Journal: Economic Policy, American Economic Association, vol. 4(1), pages 58-97, February.
    5. Leightner, Jonathan E. & Inoue, Tomoo, 2008. "Capturing climate's effect on pollution abatement with an improved solution to the omitted variables problem," European Journal of Operational Research, Elsevier, vol. 191(2), pages 540-557, December.
    6. Badami, Madhav G. & Haider, Murtaza, 2007. "An analysis of public bus transit performance in Indian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 961-981, December.
    7. da Silva e Souza, Geraldo & Gomes, Eliane Gonçalves, 2015. "Management of agricultural research centers in Brazil: A DEA application using a dynamic GMM approach," European Journal of Operational Research, Elsevier, vol. 240(3), pages 819-824.
    8. Sun, Chuanwang & Zhang, Wenyue & Luo, Yuan & Xu, Yonghong, 2019. "The improvement and substitution effect of transportation infrastructure on air quality: An empirical evidence from China's rail transit construction," Energy Policy, Elsevier, vol. 129(C), pages 949-957.
    9. Bel, Germà & Holst, Maximilian, 2018. "Evaluation of the impact of Bus Rapid Transit on air pollution in Mexico City," Transport Policy, Elsevier, vol. 63(C), pages 209-220.
    10. Yang, Mian & Ma, Tiemeng & Sun, Chuanwang, 2018. "Evaluating the impact of urban traffic investment on SO2 emissions in China cities," Energy Policy, Elsevier, vol. 113(C), pages 20-27.
    11. Luo, Zhi & Wan, Guanghua & Wang, Chen & Zhang, Xun, 2018. "Urban pollution and road infrastructure: A case study of China," China Economic Review, Elsevier, vol. 49(C), pages 171-183.
    12. Xu, Yan & Masui, Toshihiko, 2009. "Local air pollutant emission reduction and ancillary carbon benefits of SO2 control policies: Application of AIM/CGE model to China," European Journal of Operational Research, Elsevier, vol. 198(1), pages 315-325, October.
    13. Frost, Martin & Linneker, Brian & Spence, Nigel, 1996. "The spatial externalities of car-based worktravel emissions in greater London, 1981 and 1991," Transport Policy, Elsevier, vol. 3(4), pages 187-200, October.
    14. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    15. Luc Anselin & Nancy Lozano-Gracia, 2009. "Spatial Hedonic Models," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 26, pages 1213-1250, Palgrave Macmillan.
    16. Katrin Millock & Natalia Zugravu & Gérard Duchene, 2008. "The Factors Behind CO2 Emission Reduction in Transition Economies," Working Papers 2008.58, Fondazione Eni Enrico Mattei.
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