IDEAS home Printed from https://ideas.repec.org/a/taf/jenpmg/v59y2016i8p1473-1494.html
   My bibliography  Save this article

Using discrete choice experiments to value preferences for air quality improvement: the case of curbing haze in urban China

Author

Listed:
  • Chengxiang Tang
  • Yucheng Zhang

Abstract

China's top legislature amended a law that “sets environmental protection as the country's basic policy”, which planned to force regulators to make improvements in air quality. Limited studies have attempted to estimate separate values for attributes of air quality improvements from the perspective of how residents value the reduction of haze and health benefits. We apply a discrete choice experiment to estimate the economic benefits involved in these changes. The analysis demonstrates that residents from urban areas are positively willing to pay for air quality improvement. We further employ a mixed logit model and a latent class model to investigate potential heterogeneity in preferences. The preference heterogeneity is significantly related to individuals' exposure to health risks relating to air quality, which is represented by whether the residence location of the respondent is covered by haze/smog on the interview day.

Suggested Citation

  • Chengxiang Tang & Yucheng Zhang, 2016. "Using discrete choice experiments to value preferences for air quality improvement: the case of curbing haze in urban China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(8), pages 1473-1494, August.
    • Handle: RePEc:taf:jenpmg:v:59:y:2016:i:8:p:1473-1494
    DOI: 10.1080/09640568.2015.1079518
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09640568.2015.1079518
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09640568.2015.1079518?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. Craig Bullock & Mark Scott & Menelaos Gkartzios, 2011. "Rural residential preferences for house design and location: insights from a discrete choice experiment applied to Ireland," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(5), pages 685-706.
    2. Gelo, Dambala & Koch, Steven F., 2012. "Does one size fit all? Heterogeneity in the valuation of community forestry programs," Ecological Economics, Elsevier, vol. 74(C), pages 85-94.
    3. Arne Arnberger & Renate Eder, 2011. "The influence of age on recreational trail preferences of urban green-space visitors: a discrete choice experiment with digitally calibrated images," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(7), pages 891-908, November.
    4. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    5. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    6. Hall, Jane & Fiebig, Denzil G. & King, Madeleine T. & Hossain, Ishrat & Louviere, Jordan J., 2006. "What influences participation in genetic carrier testing?: Results from a discrete choice experiment," Journal of Health Economics, Elsevier, vol. 25(3), pages 520-537, May.
    7. Moshe Ben-Akiva & Joffre Swait, 1986. "The Akaike Likelihood Ratio Index," Transportation Science, INFORMS, vol. 20(2), pages 133-136, May.
    8. Scott, Anthony, 2002. "Identifying and analysing dominant preferences in discrete choice experiments: An application in health care," Journal of Economic Psychology, Elsevier, vol. 23(3), pages 383-398, June.
    9. Junyi Shen, 2009. "Latent class model or mixed logit model? A comparison by transport mode choice data," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2915-2924.
    10. Harry Telser & Peter Zweifel, 2007. "Validity of discrete-choice experiments evidence for health risk reduction," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 69-78.
    11. Jeff Bennett & Russell Blamey (ed.), 2001. "The Choice Modelling Approach to Environmental Valuation," Books, Edward Elgar Publishing, number 2028.
    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. Lu Liu & Yuxin Meng & Desheng Wu & Qiying Ran & Jianhong Cao & Zilian Liu, 2023. "Impact of haze pollution and human capital on economic resilience: evidence from prefecture-level cities in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 13429-13449, November.
    2. Xiao, Lin & Zhang, Yucheng & Fu, Bin, 2019. "Exploring the moderators and causal process of trust transfer in online-to-offline commerce," Journal of Business Research, Elsevier, vol. 98(C), pages 214-226.
    3. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2020. "Dealing with ignored attributes through an inferred approach in wine choice experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 87(C).
    4. Lin Xiao & Chuanmin Mi & Yucheng Zhang & Jing Ma, 2019. "Examining Consumers’ Behavioral Intention in O2O Commerce from a Relational Perspective: an Exploratory Study," Information Systems Frontiers, Springer, vol. 21(5), pages 1045-1068, October.
    5. Juan Carlos Martín & Concepción Román & Cira Mendoza, 2018. "Determinants for sun-and-beach self-catering accommodation selection," Tourism Economics, , vol. 24(3), pages 319-336, May.
    6. Mariel, Petr & Khan, Mohammad Asif & Meyerhoff, Jürgen, 2022. "Valuing individuals’ preferences for air quality improvement: Evidence from a discrete choice experiment in South Delhi," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 432-447.
    7. Sergi, Brian & Azevedo, Inês & Xia, Tian & Davis, Alex & Xu, Jianhua, 2019. "Support for Emissions Reductions Based on Immediate and Long-term Pollution Exposure in China," Ecological Economics, Elsevier, vol. 158(C), pages 26-33.
    8. Ju-Hee Kim & Hyo-Jin Kim & Seung-Hoon Yoo, 2018. "Public Value of Enforcing the PM 2.5 Concentration Reduction Policy in South Korean Urban Areas," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    9. Nguyen, Thanh Cong & Le, Hoa Thu & Nguyen, Hang Dieu & Le, Thanh Ha & Nguyen, Hong Quang, 2021. "Estimating economic benefits associated with air quality improvements in Hanoi City: An application of a choice experiment," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 420-433.
    10. Hyo-Jin Kim & Ju-Hee Kim & Seung-Hoon Yoo, 2018. "Do People Place More Value on Natural Gas Than Coal for Power Generation to Abate Particulate Matter Emissions? Evidence from South Korea," Sustainability, MDPI, vol. 10(6), pages 1-10, May.
    11. Frederick Qiu & Ethan Wang & Matthew Fan & Hong Liao & Litao Wang & Zuyi Huang, 2018. "A Questionnaire Case Study of Chinese Opinions on the Haze Pollution and Economic Growth," Sustainability, MDPI, vol. 10(6), pages 1-30, June.

    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. Richartz, P. Christoph & Abdulai, Awudu & Kornher, Lukas, 2020. "Attribute Non Attendance and Consumer Preferences for Online Food Products in Germany," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 69(1), March.
    2. Alessandro Mengoni & Chiara Seghieri & Sabina Nuti, 2013. "The application of discrete choice experiments in health economics: a systematic review of the literature," Working Papers 201301, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
    3. Peyron, Christine & Pélissier, Aurore & Béjean, Sophie, 2018. "Preference heterogeneity with respect to whole genome sequencing. A discrete choice experiment among parents of children with rare genetic diseases," Social Science & Medicine, Elsevier, vol. 214(C), pages 125-132.
    4. Rodríguez-Entrena, Macario & Espinosa-Goded, María & Barreiro-Hurlé, Jesús, 2014. "The role of ancillary benefits on the value of agricultural soils carbon sequestration programmes: Evidence from a latent class approach to Andalusian olive groves," Ecological Economics, Elsevier, vol. 99(C), pages 63-73.
    5. Amare Tesfaw & Feyera Senbeta & Dawit Alemu & Ermias Teferi, 2022. "Estimating the Economic Values of Restricted Monoculture Eucalyptus Plantations: A Choice Modeling Approach," IJERPH, MDPI, vol. 19(15), pages 1-17, July.
    6. José Grisolía & Kenneth Willis, 2012. "A latent class model of theatre demand," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 113-139, May.
    7. Contu, Davide & Strazzera, Elisabetta & Mourato, Susana, 2016. "Modeling individual preferences for energy sources: The case of IV generation nuclear energy in Italy," Ecological Economics, Elsevier, vol. 127(C), pages 37-58.
    8. Kotu, Bekele Hundie & Oyinbo, Oyakhilomen & Hoeschle-Zeledon, Irmgard & Nurudeen, Abdul Rahman & Kizito, Fred & Boyubie, Benedict, 2022. "Smallholder farmers’ preferences for sustainable intensification attributes in maize production: Evidence from Ghana," World Development, Elsevier, vol. 152(C).
    9. Rulleau, Bénédicte & Dachary-Bernard, Jeanne, 2012. "Preferences, rational choices and economic valuation: Some empirical tests," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(2), pages 198-206.
    10. Leonie Burgess & Deborah J. Street & Rosalie Viney & Jordan Louviere, 2012. "Design of Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 42, Edward Elgar Publishing.
    11. Marit E. Kragt & Brendan Lynch & Rick S. Llewellyn & Wendy J. Umberger, 2019. "What farmer types are most likely to adopt joint venture farm business structures?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), pages 881-896, October.
    12. Sebastian Heidenreich & Verity Watson & Mandy Ryan & Euan Phimister, 2018. "Decision heuristic or preference? Attribute non‐attendance in discrete choice problems," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 157-171, January.
    13. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    14. David Boto-García & Petr Mariel & José Baños Pino & Antonio Alvarez, 2022. "Tourists’ willingness to pay for holiday trip characteristics: A Discrete Choice Experiment," Tourism Economics, , vol. 28(2), pages 349-370, March.
    15. Kermagoret, Charlène & Levrel, Harold & Carlier, Antoine & Dachary-Bernard, Jeanne, 2016. "Individual preferences regarding environmental offset and welfare compensation: a choice experiment application to an offshore wind farm project," Ecological Economics, Elsevier, vol. 129(C), pages 230-240.
    16. Genie, Mesfin G. & Ryan, Mandy & Krucien, Nicolas, 2021. "To pay or not to pay? Cost information processing in the valuation of publicly funded healthcare," Social Science & Medicine, Elsevier, vol. 276(C).
    17. Seong Ok Lyu, 2021. "Applying discrete choice models to understand sport tourists’ heterogeneous preferences for Winter Olympic travel products," Tourism Economics, , vol. 27(3), pages 482-499, May.
    18. Marianne Lefebvre & Pauline Laille & Masha Maslianskaia-Pautrel, 2020. "Individual preferences regarding pesticide-free management of green-spaces: a discret choice experiment with French citizens," Working Papers 2020.02, FAERE - French Association of Environmental and Resource Economists.
    19. Menyeh, Bridget Okyerebea, 2021. "Financing electricity access in Africa: A choice experiment study of household investor preferences for renewable energy investments in Ghana," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    20. Mylene Lagarde, 2013. "Investigating Attribute Non‐Attendance And Its Consequences In Choice Experiments With Latent Class Models," Health Economics, John Wiley & Sons, Ltd., vol. 22(5), pages 554-567, May.

    More about this item

    Statistics

    Access and download statistics

    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:taf:jenpmg:v:59:y:2016:i:8:p:1473-1494. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJEP20 .

    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.