• DocumentCode
    3577080
  • Title

    Value estimates of water quality improvement using the double bounded dichotomous choice contingent valuation format: A case study for Yangtze River, China

  • Author

    Zhijian Cai ; Zhan Jiang ; Jiameng Yang ; Ling Zhang ; Liyong Du

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Forestry Univ., Nanjing, China
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper uses a double bounded dichotomous choice(DBDC) contingent valuation method(CVM) to estimate the willingness to pay(WTP) for water quality improvement of the Yangtze River in Nanjing in China. To improve the validity, special attention is paid to the issue of zero responses, and a Spike model that allowed for a non-zero probability of zero WTP is applied. Results indicate that there are significant positive values derived from the water quality improvement in Nanjing city, China. With protest responses being excluded, the WTP for each household is CNY260.7 (USD38.2) per year. Aggregating over the whole target population, it yields a benefit of CNY524.0 million (USD76.8 million) per year. If protest responses are treated as true zeros, estimation yields a WTP of CNY118.1, coupled with an aggregated benefit of CNY237.4 million (USD37.8 million) per year. At the practical level, considering the heterogeneous acceptability and the burden of water expenditure, special attention needs to be paid to the low-income families.
  • Keywords
    environmental economics; probability; rivers; socio-economic effects; water quality; CVM; DBDC; Yangtze River; contingent valuation method; double bounded dichotomous choice contingent valuation format; heterogeneous acceptability; low-income family; nonzero probability; spike model; water expenditure; water quality improvement; willingness to pay; zero WTP; Cities and towns; Cost accounting; Economics; Education; Estimation; Rivers; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Behavior, Economic and Social Computing (BESC), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/BESC.2014.7059531
  • Filename
    7059531