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Resident valuation and expectation of the urban greening project in Zhuhai, China

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  • Wendy Y. Chen
  • C.Y. Jim

Abstract

The type of payment vehicle may affect estimates of willingness-to-pay (WTP) for public goods in contingent valuation. This study applied three payment vehicles (donation, greening tax and entrance fee) to assess residents' WTP for a new urban greening project in Zhuhai, China. A clustered sampling framework randomly chose 598 household heads for questionnaire interviews. A logit regression model was adopted to estimate WTP. The main findings were: (1) Zhuhai residents mainly used neighbourhood gardens for leisure rather than street gardens and urban parks; (2) donation was the most preferred payment mechanism that yielded the most conservative WTP estimate, compared with two other payment vehicles.

Suggested Citation

  • Wendy Y. Chen & C.Y. Jim, 2011. "Resident valuation and expectation of the urban greening project in Zhuhai, China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(7), pages 851-869, October.
    • Handle: RePEc:taf:jenpmg:v:54:y:2011:i:7:p:851-869
    DOI: 10.1080/09640568.2010.537552
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    References listed on IDEAS

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    1. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    2. Guy Garrod & Kenneth G. Willis, 1999. "Economic Valuation of the Environment," Books, Edward Elgar Publishing, number 1368.
    3. Ian J. Bateman & Richard T. Carson & Brett Day & Michael Hanemann & Nick Hanley & Tannis Hett & Michael Jones-Lee & Graham Loomes, 2002. "Economic Valuation with Stated Preference Techniques," Books, Edward Elgar Publishing, number 2639.
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    Cited by:

    1. Wen-Hsien Tsai & Chih-Hao Yang & Cheng-Tsu Huang & Yen-Ying Wu, 2017. "The impact of the carbon tax policy on green building strategy," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(8), pages 1412-1438, August.
    2. Wen-Hsien Tsai & Shi-Yin Jhong, 2018. "Carbon Emissions Cost Analysis with Activity-Based Costing," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    3. Hui, Ling Chui & Jim, C.Y., 2022. "Urban-greenery demands are affected by perceptions of ecosystem services and disservices, and socio-demographic and environmental-cultural factors," Land Use Policy, Elsevier, vol. 120(C).
    4. Liu, Zhaoyang & Hanley, Nick & Campbell, Danny, 2020. "Linking urban air pollution with residents’ willingness to pay for greenspace: A choice experiment study in Beijing," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    5. Tsai, Wen-Hsien & Yang, Chih-Hao & Chang, Jui-Chu & Lee, Hsiu-Li, 2014. "An Activity-Based Costing decision model for life cycle assessment in green building projects," European Journal of Operational Research, Elsevier, vol. 238(2), pages 607-619.
    6. Ahlheim, Michael & Börger, Tobias & Frör, Oliver, 2012. "The ecological price of getting rich in a green desert: A contingent valuation study in rural Southwest China," FZID Discussion Papers 55-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    7. Chu-Lun Hsieh & Wen-Hsien Tsai & Yao-Chung Chang, 2020. "Green Activity-Based Costing Production Decision Model for Recycled Paper," Energies, MDPI, vol. 13(10), pages 1-23, May.
    8. Wen-Hsien Tsai & Shang-Yu Lai, 2018. "Green Production Planning and Control Model with ABC under Industry 4.0 for the Paper Industry," Sustainability, MDPI, vol. 10(8), pages 1-29, August.
    9. Vecchiato, D. & Tempesta, T., 2013. "Valuing the benefits of an afforestation project in a peri-urban area with choice experiments," Forest Policy and Economics, Elsevier, vol. 26(C), pages 111-120.

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