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Willingness to pay to control PM2.5 pollution in Jing-Jin-Ji Region, China

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  • Weixian Wei
  • Yan Wu

Abstract

This letter aims to study individual willingness to pay (WTP) to mitigate PM2.5 pollution in the Jing-Jin-Ji region by using contingent valuation method. Our survey indicated that residents in this region were highly concerned about PM2.5 pollution control and supported PM2.5 pollution control policies. In this study, a payment card (PC) format is used to elicit residents’ perceived WTP. With a two-part model, we estimate the mean WTP for an 80% reduction of severe PM2.5 polluting days in this region is 602 CNY a year, approximately accounts for 1% of the GDP per capita. This result indicates an important funding source for the government to control PM2.5 pollution in the region. In the econometric analysis, the mean WTP is found to significantly relate with income, expense, age and education level. It decreases with income, age and educational level, but increases with expense, and it is higher for females, people who have children, own cars and apartments but lower for those having larger families. By comparing with relevant researches, this letter indicates a strong and ever-increasing WTP for air pollution control among residents in the Jing-Jin-Ji region, China.

Suggested Citation

  • Weixian Wei & Yan Wu, 2017. "Willingness to pay to control PM2.5 pollution in Jing-Jin-Ji Region, China," Applied Economics Letters, Taylor & Francis Journals, vol. 24(11), pages 753-761, June.
    • Handle: RePEc:taf:apeclt:v:24:y:2017:i:11:p:753-761
    DOI: 10.1080/13504851.2016.1226482
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    Cited by:

    1. Jing Ning & Jianjun Jin & Foyuan Kuang & Xinyu Wan & Chenyang Zhang & Tong Guan, 2019. "The Valuation of Grassland Ecosystem Services in Inner Mongolia of China and Its Spatial Differences," Sustainability, MDPI, vol. 11(24), pages 1-14, December.
    2. Waranan Tantiwat & Christopher Gan & Wei Yang, 2021. "The Estimation of the Willingness to Pay for Air-Quality Improvement in Thailand," Sustainability, MDPI, vol. 13(21), pages 1-23, November.
    3. Ga-Eun Kim & Hye-Jeong Lee & Seung-Hoon Yoo, 2018. "Willingness to Pay for Substituting Coal with Natural Gas-Based Combined Heat and Power in South Korea: A View from Air Pollutants Emissions Mitigation," Sustainability, MDPI, vol. 10(5), pages 1-12, May.
    4. Khuc, Quy Van & Nong, Duy & Phu Vu, Tri, 2022. "To pay or not to pay that is the question - for air pollution mitigation in a world’s dynamic city: An experiment in Hanoi, Vietnam," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 687-701.
    5. Sun, Chuanwang & Yi, Xiangyu & Ma, Tiemeng & Cai, Weiyi & Wang, Wei, 2022. "Evaluating the optimal air pollution reduction rate: Evidence from the transmission mechanism of air pollution effects on public subjective well-being," Energy Policy, Elsevier, vol. 161(C).
    6. Qiang Zhang & Tianze Gao & Xueyan Liu & Yun Zheng, 2020. "Public Environment Emotion Prediction Model Using LSTM Network," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    7. 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.
    8. Shi, Lei & Wu, Rongxin & Lin, Boqiang, 2023. "Where will go for electric vehicles in China after the government subsidy incentives are abolished? A controversial consumer perspective," Energy, Elsevier, vol. 262(PA).

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