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Estimating Willingness To Pay For Reduced Copper Contamination In Southwestern Minnesota

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  • Kim, Hong Jin
  • Cho, Yongsung

Abstract

The contingent valuation method is applied to determine how much consumers would be willing to pay to reduce copper in their drinking water and what factors influence their willingness to pay (WTP). The annual mean WTP per household was estimated using survey data from nine counties in southwestern Minnesota where copper contamination is high. The annual mean WTP per household varied from a low range of $30.41 to $43.61 for Chippewa County to a high range of $39.79 to $57.06 for Nobles County. The aggregate WTP for all nine counties was estimated to range from $1.66 to $2.38 million. However, the estimated WTP may not be sufficient to pay the cost of providing improved water through public water systems for small communities in southwestern Minnesota.

Suggested Citation

  • Kim, Hong Jin & Cho, Yongsung, 2002. "Estimating Willingness To Pay For Reduced Copper Contamination In Southwestern Minnesota," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-14, December.
    • Handle: RePEc:ags:jlaare:31123
    DOI: 10.22004/ag.econ.31123
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    References listed on IDEAS

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    1. Edwards, Steven F., 1988. "Option prices for groundwater protection," Journal of Environmental Economics and Management, Elsevier, vol. 15(4), pages 475-487, December.
    2. Jeffrey L. Jordan & Abdelmoneim H. Elnagheeb, 1994. "Consequences of Using Different Question Formats in Contingent Valuation: A Monte Carlo Study," Land Economics, University of Wisconsin Press, vol. 70(1), pages 97-110.
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    Cited by:

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    2. Francesco Jacopo Pintus, 2023. "Valuing drinking water quality after a PFAS contamination event: results from a meta-analysis benefit transfer," "Marco Fanno" Working Papers 0308, Dipartimento di Scienze Economiche "Marco Fanno".
    3. Kevin Boyle & Sapna Kaul & Ali Hashemi & Xiaoshu Li, 2015. "Applicability of benefit transfers for evaluation of homeland security counterterrorism measures," Chapters, in: Carol Mansfield & V. K. Smith (ed.), Benefit–Cost Analyses for Security Policies, chapter 10, pages 225-253, Edward Elgar Publishing.
    4. Cho, Yongsung & Konishi, Yoshifumi & Easter, K. William, 2007. "Can Rural Communities Comply with the New Arsenic Standard for Drinking Water?," Staff Papers 7353, University of Minnesota, Department of Applied Economics.
    5. Chuen Khee, Pek & Yet Mee, Lim & Chee Keong, Choong, 2011. "The economic impact of climate change on food security in Malaysia," MPRA Paper 37199, University Library of Munich, Germany.
    6. Hisako Nomura & Nguyen Bich Hong & Mitsuyasu Yabe, 2018. "Effective Use and Management of Kunisaki Peninsula Usa GIAHS Long Trail—A Sustainable Tourism Model leading to Regional Development," Sustainability, MDPI, vol. 10(2), pages 1-14, February.
    7. ORDOFA JARA, Gemechu & TESHOME GEBRETSADIK, Wubishet & TEMAM HAJIFATO, Nesru, 2021. "Households Willingness To Pay For The Conservation Of Noug: A Case Study," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 24(2), October.
    8. Konishi, Yoshifumi & Coggins, Jay S., 2008. "Environmental risk and welfare valuation under imperfect information," Resource and Energy Economics, Elsevier, vol. 30(2), pages 150-169, May.

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