IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v84y2019ics0140988319303305.html
   My bibliography  Save this article

Haze, health, and income: An integrated model for willingness to pay for haze mitigation in Shanghai, China

Author

Listed:
  • Ouyang, Xiaoling
  • Zhuang, Wuxu
  • Sun, Chuanwang

Abstract

Most existing studies indicate that residentsö willingness to pay (WTP) for environmental protection mainly depends on income and the degree of environmental pollution. However, owing to lack of suitable data, less research has focused on why people have higher or lower WTP for environmental protection, and many questions about their reasons remain unanswered. Based on contingent valuation questionnaires in 16 districts of Shanghai, this study investigates the influencing factors of residentsö WTP for haze mitigation. To avoid a multicollinearity problem, we integrate principal component analysis and the probit model to examine the determinants of WTP. Results show that residentsö WTP for haze mitigation ranges from 343.31 to 359.48 USD. The major influencing factors of residentsö WTP include subjective knowledge of haze impacts, understanding of the frequency and severity of haze, and social trust in haze data published by the government. In particular, we find that owing to anti-haze household expenditure on mitigating the effects of haze pollution on health, residents who considered that the areas they lived in were more influenced by haze pollution do not always have higher WTP for haze mitigation. Results of this study have policy implications for haze mitigation regarding the effect of anti-haze household expenditure.

Suggested Citation

  • Ouyang, Xiaoling & Zhuang, Wuxu & Sun, Chuanwang, 2019. "Haze, health, and income: An integrated model for willingness to pay for haze mitigation in Shanghai, China," Energy Economics, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:eneeco:v:84:y:2019:i:c:s0140988319303305
    DOI: 10.1016/j.eneco.2019.104535
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988319303305
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2019.104535?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. Sun, Chuanwang & Zhu, Xiting, 2014. "Evaluating the public perceptions of nuclear power in China: Evidence from a contingent valuation survey," Energy Policy, Elsevier, vol. 69(C), pages 397-405.
    2. Siqi Zheng & Jing Cao & Matthew Kahn & Cong Sun, 2014. "Real Estate Valuation and Cross-Boundary Air Pollution Externalities: Evidence from Chinese Cities," The Journal of Real Estate Finance and Economics, Springer, vol. 48(3), pages 398-414, April.
    3. Fredrik Carlsson & Olof Johansson-Stenman, 2000. "Willingness to pay for improved air quality in Sweden," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 661-669.
    4. Lo, Alex Y. & Jim, C.Y., 2015. "Protest response and willingness to pay for culturally significant urban trees: Implications for Contingent Valuation Method," Ecological Economics, Elsevier, vol. 114(C), pages 58-66.
    5. Shao, Shuai & Tian, Zhihua & Fan, Meiting, 2018. "Do the rich have stronger willingness to pay for environmental protection? New evidence from a survey in China," World Development, Elsevier, vol. 105(C), pages 83-94.
    6. Chuanwang Sun & Nan Lyu & Xiaoling Ouyang, 2014. "Chinese Public Willingness to Pay to Avoid Having Nuclear Power Plants in the Neighborhood," Sustainability, MDPI, vol. 6(10), pages 1-27, October.
    7. Longo, Alberto & Markandya, Anil & Petrucci, Marta, 2008. "The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy," Ecological Economics, Elsevier, vol. 67(1), pages 140-152, August.
    8. W. Michael Hanemann, 1994. "Valuing the Environment through Contingent Valuation," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 19-43, Fall.
    9. Sun, Chuanwang & Yuan, Xiang & Yao, Xin, 2016. "Social acceptance towards the air pollution in China: Evidence from public's willingness to pay for smog mitigation," Energy Policy, Elsevier, vol. 92(C), pages 313-324.
    10. Sun, Cong & Kahn, Matthew E. & Zheng, Siqi, 2017. "Self-protection investment exacerbates air pollution exposure inequality in urban China," Ecological Economics, Elsevier, vol. 131(C), pages 468-474.
    11. Kraeusel, Jonas & Möst, Dominik, 2012. "Carbon Capture and Storage on its way to large-scale deployment: Social acceptance and willingness to pay in Germany," Energy Policy, Elsevier, vol. 49(C), pages 642-651.
    12. Amirnejad, Hamid & Khalilian, Sadegh & Assareh, Mohammad H. & Ahmadian, Majid, 2006. "Estimating the existence value of north forests of Iran by using a contingent valuation method," Ecological Economics, Elsevier, vol. 58(4), pages 665-675, July.
    13. Neidell, Matthew J., 2004. "Air pollution, health, and socio-economic status: the effect of outdoor air quality on childhood asthma," Journal of Health Economics, Elsevier, vol. 23(6), pages 1209-1236, November.
    14. Lee, Chul-Yong & Heo, Hyejin, 2016. "Estimating willingness to pay for renewable energy in South Korea using the contingent valuation method," Energy Policy, Elsevier, vol. 94(C), pages 150-156.
    15. Adaman, Fikret & KaralI, Nihan & Kumbaroglu, Gürkan & Or, Ilhan & Özkaynak, Begüm & Zenginobuz, Ünal, 2011. "What determines urban households' willingness to pay for CO2 emission reductions in Turkey: A contingent valuation survey," Energy Policy, Elsevier, vol. 39(2), pages 689-698, February.
    16. S. V. Ciriacy-Wantrup, 1947. "Capital Returns from Soil-Conservation Practices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(4_Part_II), pages 1181-1196.
    17. Mozumder, Pallab & Vásquez, William F. & Marathe, Achla, 2011. "Consumers' preference for renewable energy in the southwest USA," Energy Economics, Elsevier, vol. 33(6), pages 1119-1126.
    18. Bennett, Richard M. & Blaney, Ralph J. P., 2003. "Estimating the benefits of farm animal welfare legislation using the contingent valuation method," Agricultural Economics, Blackwell, vol. 29(1), pages 85-98, July.
    19. Guo, Xiurui & Liu, Haifeng & Mao, Xianqiang & Jin, Jianjun & Chen, Dongsheng & Cheng, Shuiyuan, 2014. "Willingness to pay for renewable electricity: A contingent valuation study in Beijing, China," Energy Policy, Elsevier, vol. 68(C), pages 340-347.
    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. Zhang, Shengling & Wu, Zihao & He, Yinan & Hao, Yu, 2022. "How does the green credit policy affect the technological innovation of enterprises? Evidence from China," Energy Economics, Elsevier, vol. 113(C).
    2. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    3. Li, Chuan-Zhong & Wei, Chu & Yu, Yang, 2020. "Income threshold, household appliance ownership and residential energy consumption in urban China," China Economic Review, Elsevier, vol. 60(C).
    4. Nie, Yongyou & Cheng, Dandan & Liu, Kui, 2020. "The effectiveness of environmental authoritarianism: Evidence from China's administrative inquiry for environmental protection," Energy Economics, Elsevier, vol. 88(C).
    5. Tian, Ying & Feng, Chao, 2022. "The internal-structural effects of different types of environmental regulations on China's green total-factor productivity," Energy Economics, Elsevier, vol. 113(C).
    6. Xiaodong Yang & Jianlong Wang & Jianhong Cao & Siyu Ren & Qiying Ran & Haitao Wu, 2022. "The spatial spillover effect of urban sprawl and fiscal decentralization on air pollution: evidence from 269 cities in China," Empirical Economics, Springer, vol. 63(2), pages 847-875, August.
    7. Lv, Chengchao & Shao, Changhua & Lee, Chien-Chiang, 2021. "Green technology innovation and financial development: Do environmental regulation and innovation output matter?," Energy Economics, Elsevier, vol. 98(C).
    8. Xiaodong Yang & Weilong Wang & Xufeng Su & Siyu Ren & Qiying Ran & Jianlong Wang & Jianhong Cao, 2023. "Analysis of the influence of land finance on haze pollution: An empirical study based on 269 prefecture‐level cities in China," Growth and Change, Wiley Blackwell, vol. 54(1), pages 101-134, March.
    9. Lin, Boqiang & Xu, Bin, 2020. "Effective ways to reduce CO2 emissions from China's heavy industry? Evidence from semiparametric regression models," Energy Economics, Elsevier, vol. 92(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. Sun, Chuanwang & Yuan, Xiang & Yao, Xin, 2016. "Social acceptance towards the air pollution in China: Evidence from public's willingness to pay for smog mitigation," Energy Policy, Elsevier, vol. 92(C), pages 313-324.
    2. Xie, Bai-Chen & Zhao, Wei, 2018. "Willingness to pay for green electricity in Tianjin, China: Based on the contingent valuation method," Energy Policy, Elsevier, vol. 114(C), pages 98-107.
    3. Yu, Ying & Yamaguchi, Kensuke & Thuy, Truong Dang & Kittner, Noah, 2022. "Will the public in emerging economies support renewable energy? Evidence from Ho Chi Minh City, Vietnam," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    4. Cheng, Y.S. & Cao, K.H. & Woo, C.K. & Yatchew, A., 2017. "Residential willingness to pay for deep decarbonization of electricity supply: Contingent valuation evidence from Hong Kong," Energy Policy, Elsevier, vol. 109(C), pages 218-227.
    5. Jingchao, Zhang & Kotani, Koji & Saijo, Tatsuyoshi, 2018. "Public acceptance of environmentally friendly heating in Beijing: A case of a low temperature air source heat pump," Energy Policy, Elsevier, vol. 117(C), pages 75-85.
    6. Soon, Jan-Jan & Ahmad, Siti-Aznor, 2015. "Willingly or grudgingly? A meta-analysis on the willingness-to-pay for renewable energy use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 877-887.
    7. Tan, Ruipeng & Lin, Boqiang, 2019. "Public perception of new energy vehicles: Evidence from willingness to pay for new energy bus fares in China," Energy Policy, Elsevier, vol. 130(C), pages 347-354.
    8. Oerlemans, Leon A.G. & Chan, Kai-Ying & Volschenk, Jako, 2016. "Willingness to pay for green electricity: A review of the contingent valuation literature and its sources of error," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 875-885.
    9. S. Mohammadi Limaei & G. Safari & G. Mohammadi Merceh, 2016. "Recreational values of forest park using the contingent valuation method (case study: Saravan Forest Park, north of Iran)," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 62(10), pages 452-462.
    10. Alló, Maria & Loureiro, Maria L., 2014. "The role of social norms on preferences towards climate change policies: A meta-analysis," Energy Policy, Elsevier, vol. 73(C), pages 563-574.
    11. Dalia Streimikiene & Tomas Balezentis & Ilona Alisauskaite-Seskiene & Gintare Stankuniene & Zaneta Simanaviciene, 2019. "A Review of Willingness to Pay Studies for Climate Change Mitigation in the Energy Sector," Energies, MDPI, vol. 12(8), pages 1-38, April.
    12. Shao, Shuai & Tian, Zhihua & Fan, Meiting, 2018. "Do the rich have stronger willingness to pay for environmental protection? New evidence from a survey in China," World Development, Elsevier, vol. 105(C), pages 83-94.
    13. Zheng, Xuemei & Li, Cao & Fang, Xingming & Zhang, Ning, 2021. "Price sensitivity and consumers’ support for renewable energy in China," Energy, Elsevier, vol. 222(C).
    14. Bae, Jeong Hwan & Rishi, Meenakshi & Li, Dmitriy, 2021. "Consumer preferences for a green certificate program in South Korea," Energy, Elsevier, vol. 230(C).
    15. Lin, Boqiang & Qiao, Qiao, 2023. "Exploring the participation willingness and potential carbon emission reduction of Chinese residential green electricity market," Energy Policy, Elsevier, vol. 174(C).
    16. Zhihua Xu & Jingzhu Shan, 2018. "The effect of risk perception on willingness to pay for reductions in the health risks posed by particulate matter 2.5: A case study of Beijing, China," Energy & Environment, , vol. 29(8), pages 1319-1337, December.
    17. Alam, Majbaul & Bhattacharyya, Subhes, 2017. "Are the off-grid customers ready to pay for electricity from the decentralized renewable hybrid mini-grids? A study of willingness to pay in rural Bangladesh," Energy, Elsevier, vol. 139(C), pages 433-446.
    18. Lin, Boqiang & Tan, Ruipeng, 2017. "Estimation of the environmental values of electric vehicles in Chinese cities," Energy Policy, Elsevier, vol. 104(C), pages 221-229.
    19. Kim, Kyung Jae & Lee, Hwarang & Koo, Yoonmo, 2020. "Research on local acceptance cost of renewable energy in South Korea: A case study of photovoltaic and wind power projects," Energy Policy, Elsevier, vol. 144(C).
    20. Zhihua Xu & Jingmei Li & Jingzhu Shan & Wensi Zhang, 2021. "Extending the Theory of Planned Behavior to understand residents’ coping behaviors for reducing the health risks posed by haze pollution," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2122-2142, February.

    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:eneeco:v:84:y:2019:i:c:s0140988319303305. 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/eneco .

    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.