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Data · dataset · 1999

Valuing the Economic Benefits of Air Quality Improvement: A Case Study of the Kaohsiung and Pintung Areas

Listed in Harvard Dataverse

Due to the rapid economic development and population growth, the degradation of air quality has becoming a big problem in Taiwan.

Description

Air pollution not only severely affects human health, but also has devastating effect on the natural environment and ecosystem. Therefore, the issue of improving air quality has become a major concern for both of the general public and the government.

High concentration of industrial parks around the Kaohsiung and Pingtung areas has resulted in severe environmental pollution. Among which air pollution is the major contributor of environmental pollution. However, researches on benefit evaluation of the air quality improvement in Kaohsiung and Pingtung areas are insufficient.

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The purpose of this study is to use survey method to evaluate the economic efficiency of air quality improvement and to provide indicators of the economic benefit of pollution control to the government. Like many environmental factors, air quality is a public good that does not have market for transaction and market price. This study measures the economic benefits from improvement of air quality at one of the most heavily polluted area in Taiwan.

The Contingent Valuation Method (CVM) was used in the questionnaire to ask residents of the Kaohsiung and Pingtung areas for their willingness to pay for the improvement of air quality. The behaviors of the residents at the three different areas are compared.

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Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.6141/TW-SRDA-E87012-114 d agoJSON v1
FieldAssertionExtractorEvidence
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created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0