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Evaluating air quality through aerial demand function and an application evaluating air quality

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Indexed by:期刊论文

Date of Publication:2017-01-01

Journal:BULGARIAN CHEMICAL COMMUNICATIONS

Included Journals:SCIE

Volume:49

Issue:,H

Page Number:47-52

ISSN No.:0324-1130

Key Words:Air quality index (AQI); air demand function (ADF); contingent valuation method (CVM); air economic value; marginal effect

Abstract:This paper primarily explores a methodological framework to analyze demand of an omnipresent public good, the concrete instantiation of setting up an aerial demand function to describe its application of influencing on air quality change, for the purpose of compensating the air pollution impairing environmental quality and human health negatively and chronically, and conducing to avoiding cognitive complexity of air quality variety. Bottom-up approach of acquiring individual state preference sampling, and top-down technique of attaining the related air quality variables' sampling, are jointly adopted to support the empirical survey. Due to the former data, contingent valuation method is used to calculate Hicks' consumer surplus; owing to the latter data and the foregoing result, air demand functions is computed to explain the predictor variables' marginal effects. The findings are that the decreased 10 units AQI to improve air quality leads to the average individual willingness to pay in 2 to 4 Yuan, and PM10 concentration engenders the larger effect on human health.

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