The value of a statistical life of urban air pollution in Ho Chi Minh City, Vietnam

Authors

DOI:

https://doi.org/10.46488/

Keywords:

Value of Statistical Life, Willingness to Pay, Air pollution, Binary Logistic Model, Chi-square test

Abstract

Studies on the trade-off between income and environmental quality have been extensively conducted in recent years, particularly in Vietnam. However, research focusing on the Value of Statistical Life (VSL) attributable to environmental pollution remains limited. Consequently, this study calculates the VSL based on the actual self-assessments of individuals in Ho Chi Minh City, one of the largest and most densely populated metropolitan areas, which focus on air pollution. The research utilized a Contingent Valuation (CV) survey approach to estimate the VSL, together with chi square test and binary logistic model to estimate the affecting factors. Survey results from 879 respondents showed that the calculated VSL is about 12.4 million USD, which is much higher than the estimate derived from conventional GDP. Factors including income, age, education level, and residence were found to be significantly related to the respondents' WTP decision, though these linkages are relatively week. The predicting model showed that income and the subjective assessments of the Pneumonia symptoms were related to the probability of reducing income for improved environmental quality. The model demonstrated an overall efficiency exceeding 81% and an accuracy above 74%, with a specificity above 79% and a sensitivity above 68%. The outcomes of this study, therefore, can serve as a valuable reference for subsequent, in-depth research into the correlation between VSL and income, thereby providing a robust basis for developing appropriate pollution reduction strategies.

Author Biography

  • Doan Quang Tri, Center for Multidisciplinary Monitoring, Institute of Earth Sciences, Vietnam Academy of Science and Technology, Ha-noi, Vietnam

    He holds a PhD in Environmental Engineering from Dayeh University (Taiwan) and is Deputy Director of the Hydrometeorological Information and Data Center, Acting Editor-in-Chief of the Journal of Hydro-Meteorology (2021–2025). He is now with the Center for Multidisciplinary Monitoring, Institute of Earth Sciences, VAST. His research focuses on environmental management, oil spills, EIA, water quality, river–ocean systems, coastal change, hydrometeorology, droughts, floods, and climate change.

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