การประเมินผลประโยชน์ของครัวเรือนจากการลดความเสี่ยงภัยน้ำ �ท่วม ในลุ่มน้ำ �เจ้าพระยาตอนล่าง
Penporn Janekarnkij,
Santi Sanglestsawai,
Kampanat Vijitsrikamol and
Suwanna Sayrumyat
Asian Journal of Applied Economics, vol. 22, issue 01
Abstract:
This paper explores economic benefit for flood risk reduction of residents living in the core economic zones of lower Chao Phraya River Basin, Thailand. Under the action plan of integrated and sustainable flood mitigation in Chao Phraya River Basin, 4.29 million households would become beneficiaries. Using contingent valuation method (CVM), the potential benefit of flood risk reduction from this action plan is approximately THB 8.82 billion per year with an average willingness to pay (WTP) of THB 2,056 per household annually. The estimated benefit accrued to household residents in the study area is only part of the total potential benefits, if the plan were enacted. The finding reveals that household’s income, flood risk reduction, and program acceptance are significant determinants to increase WTP. Beneficiary pay mechanism such as flood protection fee or tax incorporating different income or different flood risk exposure on property should be considered in the flood management policy. This requires further studies on supporting regulations and laws.
Keywords: Demand; and; Price; Analysis (search for similar items in EconPapers)
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/338464/files/42.Vol22Issue1_p1-25.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:thkase:338464
DOI: 10.22004/ag.econ.338464
Access Statistics for this article
More articles in Asian Journal of Applied Economics from Kasetsart University, Center for Applied Economics Research Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().