IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v135y2019ics0301421519305853.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421519305853
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2019.110998?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Katrin Millock & Natalia Zugravu & Gérard Duchene, 2008. "The Factors Behind CO2 Emission Reduction in Transition Economies," Working Papers 2008.58, Fondazione Eni Enrico Mattei.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Jun & Liu, Liang & Qian, Yu & Song, Shunfeng, 2022. "The effect of artificial intelligence on carbon intensity: Evidence from China's industrial sector," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    2. Yujing Guo & Qian Zhang & Kin Keung Lai & Yingqin Zhang & Shubin Wang & Wanli Zhang, 2020. "The Impact of Urban Transportation Infrastructure on Air Quality," Sustainability, MDPI, vol. 12(14), pages 1-25, July.
    3. Moon Joon Kim & Xiaolin Xie & Xiaochen Zhang, 2021. "How Does an Environmental Amenity Attract Voluntary Migrants? Evidence from Ambient Air Quality in China," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    4. Zhang, Guo-Xing & Yang, Yang & Su, Bin & Nie, Yan & Duan, Hong-Bo, 2023. "Electricity production, power generation structure, and air pollution: A monthly data analysis for 279 cities in China (2015–2019)," Energy Economics, Elsevier, vol. 120(C).
    5. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    6. Cheng, Xiu & Wu, Fan & Long, Ruyin & Li, Wenbo, 2021. "Uncovering the effects of learning capacity and social interaction on the experienced utility of low-carbon lifestyle guiding policies," Energy Policy, Elsevier, vol. 154(C).
    7. Dong Liu & Feng Xiao & Jian Luo & Fan Yang, 2023. "Deep Reinforcement Learning-Based Holding Control for Bus Bunching under Stochastic Travel Time and Demand," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    8. Cui, Yin & Li, Zhiyong & Sun, Yu & Sun, Weizheng, 2023. "Environmental performance of an urban passenger transport system and influencing factors: A case study of Tianjin, China," Utilities Policy, Elsevier, vol. 80(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yujing Guo & Qian Zhang & Kin Keung Lai & Yingqin Zhang & Shubin Wang & Wanli Zhang, 2020. "The Impact of Urban Transportation Infrastructure on Air Quality," Sustainability, MDPI, vol. 12(14), pages 1-25, July.
    2. Huang, Guobin & Zhang, Jie & Yu, Jian & Shi, Xunpeng, 2020. "Impact of transportation infrastructure on industrial pollution in Chinese cities: A spatial econometric analysis," Energy Economics, Elsevier, vol. 92(C).
    3. Cui, Yin & Li, Zhiyong & Sun, Yu & Sun, Weizheng, 2023. "Environmental performance of an urban passenger transport system and influencing factors: A case study of Tianjin, China," Utilities Policy, Elsevier, vol. 80(C).
    4. 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.
    5. Jing Sun & Muhammad Safdar Sial & Dasong Deng & Darina Saxunova & Ahsanuddin Haider & Mohammed Arshad Khan, 2022. "The Significance of Urban Rail Transit Systems in Mitigating Air Pollution Effects: The Case of China," Sustainability, MDPI, vol. 14(21), pages 1-10, October.
    6. Tamazian, Artur & Bhaskara Rao, B., 2010. "Do economic, financial and institutional developments matter for environmental degradation? Evidence from transitional economies," Energy Economics, Elsevier, vol. 32(1), pages 137-145, January.
    7. Davis, Lucas W., 2021. "Estimating the price elasticity of demand for subways: Evidence from Mexico," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    8. Bowen Zhou & Jieling Jin & Helai Huang & Yuanchang Deng, 2023. "Exploring the Macro Economic and Transport Influencing Factors of Urban Public Transport Mode Share: A Bayesian Structural Equation Model Approach," Sustainability, MDPI, vol. 15(3), pages 1-11, January.
    9. Xiaoli Hu & Jieping Chen & Shanlang Lin, 2023. "Influence from highways’ development on green technological innovation: the case of Yangtze River economic belt in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11095-11120, October.
    10. Beaudoin, Justin & Lin Lawell, C.-Y. Cynthia, 2018. "The effects of public transit supply on the demand for automobile travel," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 447-467.
    11. Jing Wang & Yubing Xu, 2022. "How Does Digitalization Affect Haze Pollution? The Mediating Role of Energy Consumption," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
    12. Nicholas Rivers & Soodeh Saberian & Brandon Schaufele, 2020. "Public transit and air pollution: Evidence from Canadian transit strikes," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(2), pages 496-525, May.
    13. Yu Chen & Yuandi Wang & Ruifeng Hu, 2020. "Sustainability by High–Speed Rail: The Reduction Mechanisms of Transportation Infrastructure on Haze Pollution," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
    14. Suman, Hemant K. & Bolia, Nomesh B., 2019. "Improvement in direct bus services through route planning," Transport Policy, Elsevier, vol. 81(C), pages 263-274.
    15. Zheng Fang & Bihong Huang & Zhuoxiang Yang, 2020. "Trade openness and the environmental Kuznets curve: Evidence from Chinese cities," The World Economy, Wiley Blackwell, vol. 43(10), pages 2622-2649, October.
    16. Yongqing Nan & Qin Li & Jinxiang Yu & Haiya Cai & Qin Zhou, 2020. "Has the emissions intensity of industrial sulphur dioxide converged? New evidence from China’s prefectural cities with dynamic spatial panel models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5337-5369, August.
    17. Hongyou Lu & Yunchan Zhu & Yu Qi & Jinliang Yu, 2018. "Do Urban Subway Openings Reduce PM 2.5 Concentrations? Evidence from China," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
    18. Rongcheng Zhu & Qian Li, 2023. "How has the Internet fostered the greening of enterprises in China? The moderating role of governmental transparency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1383-1395, April.
    19. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    20. Wu, Haitao & Xu, Lina & Ren, Siyu & Hao, Yu & Yan, Guoyao, 2020. "How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model," Resources Policy, Elsevier, vol. 67(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:135:y:2019:i:c:s0301421519305853. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.