Estimating willingness to pay in order to prevent external intangible effects of dust in Yazd-Ardakan plain
Although intangible effects on natural environments are not visible and only become apparent over a long period of time, they may cause irreparable damages whose estimation is not always feasible. However, people's willingness to pay (WTP) for the prevention of adverse environmental effects can...
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Veröffentlicht in: | International journal of environmental science and technology (Tehran) 2017-07, Vol.13 (6) |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Although intangible effects on natural environments are not visible and
only become apparent over a long period of time, they may cause
irreparable damages whose estimation is not always feasible. However,
people's willingness to pay (WTP) for the prevention of adverse
environmental effects can be determined. The present study addresses
the issue of the effect of dust in Yazd-Ardakan Plain. It aims at the
valuation of local people's WTP in order to prevent
extra-regional intangible effects of dust in Yazd-Ardakan Plain in
2010. The study was based on data collected from 479 questionnaires
completed by people in the affected area. Factors affecting local
people's WTP and their expected WTP were estimated by logit
regression model. It was revealed that among the studied variables,
income, education, and environment importance had significant positive
effects, and that household size, type of residence, and bid had
significant negative effects on people's WTP. Also, the WTP for
the conservation of the region was estimated as to be 93.4 billion
Iranian Rials (IRR) per year. In other words, it is necessary to invest
at least 93.4 billion IRR to prevent the adverse impacts of dust on the
plain. Given the 183 billion IRR expenditure for stabilizing sand in
the region and the estimated 93.4 billion IRR protection value for the
plain, 50 % of expenses would be paid by people living in the region,
which paves the way for the fulfillment of conservation programs by
experts using public contributions. |
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ISSN: | 1735-1472 |