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Поплавко П.С., Нагапетян А.Р. Оценка вариации готовности платить за снижение риска смерти от загрязнения воздуха в зависимости от возраста респондентов
Научная статья
УДК 330.43:519.86
https://doi.org/10.24158/tipor.2025.11.22
 

Оценка вариации готовности платить

за снижение риска смерти от загрязнения воздуха

в зависимости от возраста респондентов

 
Полина Сергеевна Поплавко1, Артур Рубикович Нагапетян2
1,2Дальневосточный федеральный университет, Владивосток, Россия,
1poplavko.ps@dvfu.ru, https://orcid.org/0009-0002-5520-4943
2nagapetyan_ar@dvfu.ru, https://orcid.org/0000-0002-7885-2460
 
Аннотация. В исследовании осуществляется попытка моделирования вариации готовности платить за снижение риска смерти от загрязнения воздуха, в том числе ее чувствительности к изменению величины рассматриваемого риска для старшей (25 лет и старше) и младшей (18‒24 лет) возрастных групп. Исследовательская проблема состоит в том, что величина готовности платить изменяется несоразмерно величине предлагаемого снижения риска смерти, что влияет на образование широкого диапазона оценок стоимости статистической жизни. Вариация оценок готовности платить, как и чувствительность к уровням снижения риска, может зависеть от индивидуальных характеристик респондента. Полученные результаты демонстрируют, что при увеличении уровня снижения риска смерти на 1 % готовность платить у младшей возрастной группы увеличивается на 0,141 %, а у старшей ‒ на 0,164 %, при этом готовность платить у младшей возрастной группы выше, чем у старшей, например, при рассмотрении величины снижения риска смерти на 100 на 100 тыс. человек она составляет 1044,56 руб. и 717,17 руб. в месяц соответственно. Оценка стоимости жизни с учетом вариации готовности платить в отношении чувствительности к изменению величины рассматриваемого снижения уровня риска составляет для младшей и старшей возрастных групп 14,3 и 9,7 млн руб. соответственно, тогда как без ее учета диапазон оценок мог бы составить от 7 до 41 млн руб. и от 5 до 27 млн руб. соответственно.
Ключевые слова:статистическая стоимость жизни, вариация готовности платить, загрязнение воздуха, влияние возраста на готовность платить, непропорциональность, условная оценка
Финансирование: статья выполнена при финансовой поддержке Министерства науки и высшего образования Российской Федерации (программа стратегического академического лидерства «Приоритет-2030», проект ДВФУ № АСП-25-03-5.02-0027).
Для цитирования: Поплавко П.С., Нагапетян А.Р. Оценка вариации готовности платить за снижение риска смерти от загрязнения воздуха в зависимости от возраста респондентов // Теория и практика общественного развития. 2025. № 11. С. 195–203. https://doi.org/10.24158/tipor.2025.11.22.
 
Original article
 

Variation in Willingness to Pay for Reducing Mortality Risk

from Air Pollution by Respondent Age

 
Polina S. Poplavko1, Artur R. Nagapetyan2
1,2Far Eastern Federal University, Vladivostok, Russia
1poplavko.ps@dvfu.ru, https://orcid.org/0009-0002-5520-4943
2nagapetyan_ar@dvfu.ru, https://orcid.org/0000-0002-7885-2460
 
Abstract. This study attempts to model the variation in willingness to pay (WTP) for reductions in mortality risk from air pollution, including its sensitivity to changes in the magnitude of the considered risk reduction for two age groups: the younger group (18–24 years) and the older group (25 years and above). The research problem lies in the fact that WTP does not change proportionally to the magnitude of the proposed reduction in mortality risk, which results in a wide range of estimates of the value of a statistical life (VSL). Both the variation in WTP and its sensitivity to different levels of risk reduction may depend on individual respondent characteristics.The results indicate that a 1% increase in the level of mortality risk reduction leads to a 0.141% increase in WTP for the younger group and a 0.164% increase for the older group. At the same time, the younger group demonstrates a higher WTP than the older group. For example, for a reduction of 100 deaths per 100,000 people, the monthly WTP amounts to 1.044.56 RUB for the younger group and 717.17 RUB for the older group. The estimated VSL, accounting for the variation in WTP with respect to sensitivity to the magnitude of the risk reduction, is 14.3 million RUB for the younger group and 9.7 million RUB for the older group. Without accounting for this variation, the estimates would range from 7 to 41 million RUB and from 5 to 27 million RUB, respectively.
Keywords: value of a statistical life, variation in willingness to pay, air pollution, age and willingness to pay, scope insensitivity, contingent valuation
Funding: The article was carried out with the financial support of the Ministry of Science and Higher Education of the Russian Federation (strategic academic leadership program “Priority 2030”, FEFU project No. ASP-25-03-5.02-0027).
For citation: Poplavko, P.S. & Nagapetyan, A.R. (2025) Variation in Willingness to Pay for Reducing Mortality Risk from Air Pollution by Respondent Age. Theory and Practice of Social Development. (11), 195–203. Available from: doi:10.24158/tipor.2025.11.22 (In Russian)

© Поплавко П.С., Нагапетян А.Р., 2025
Список источников:
 
Зубова Е.А. Оценка стоимости статистической жизни в России на основе микроданных // Журнал Новой экономической ассоциации. 2022. № 1 (53). С. 163–179. https://doi.org/10.31737/2221-2264-2022-53-1-8.
Косякина А., Пономарева Е. Стоимость статистической жизни: оценки на основе концепции человеческого капитала // Экономическая политика. 2021. Т. 16, № 6. С. 94–119. https://doi.org/10.18288/1994-5124-2021-6-94-119.
Поплавко П.С., Нагапетян А.Р. Вариация оценок готовности платить в зависимости от величины снижения риска смерти от загрязнения воздуха // Теория и практика общественного развития. 2024. № 5. С. 127‒135. https://doi.org/10.24158/tipor.2024.5.16.
Поплавко П.С., Нагапетян А.Р. Разработка экономико-математического инструментария для оценки стоимости жизни с учетом убывающей предельной готовности платить за снижение дополнительной единицы риска смерти // Теория и практика общественного развития. 2025. № 6 (206). С. 166–175. https://doi.org/10.24158/tipor.2025.6.19.
Age, health and the willingness to pay for mortality risk reductions: a contingent valuation survey of Ontario residents / A. Krupnick [et al.] // Journal of Risk and Uncertainty. 2002. Vol. 24, no. 2. P. 161‒186. https://doi.org/10.1023/A:1014020027011.
Age, health, and the willingness to pay for mortality risk reductions: A contingent valuation survey of Shizuoka, Japan, residents / K. Itaoka [et al.] // Environmental Economics and Policy Studies. 2007. Vol. 8, no. 3. P. 211–237. https://doi.org/10.1007/BF03353958.
Andersson H., Svensson M. Cognitive ability and scale bias in the contingent valuation method: An analysis of willingness to pay to reduce mortality risk // Environmental and Resource Economics. 2008. Vol. 39, no 4. P. 481–495. https://doi.org/10.1007/s10640-007-9137-0.
Arigoni Ortiz R., Markandya A., Hunt A. Willingness to pay for mortality risk reduction associated with air pollution in São Paulo // Revista Brasileira de Economia. 2009. Vol. 63, no. 1. P. 3–22. https://doi.org/10.1590/S0034-71402009000100001.
Contingent valuation of nonmarket benefits in project economic analysis: a guide to good practice / A.J. Sajise [et al.]. Asian Development Bank, 2021. 208 p.
de Lima M. The value of a statistical life in Mexico // Journal of Environmental Economics and Policy. 2020. Vol. 9, no. 2. P. 140–166. https://doi.org/10.1080/21606544.2019.1617196.
Does the value of a statistical life vary with age and health status? Evidence from the US and Canada / A. Alberini [et al.] // Journal of Environmental Economics and Management. 2004. Vol. 48, no. 1. P. 769–792. https://doi.org/10.1016/j.jeem.2003.10.005.
Eom Y.S., Ahn S., Shadbegian R. Willingness to pay to reduce mortality risks from particulate matter and value of statistical life: Evidence from stated air purifier rental choices in South Korea // Journal of Environmental Management. 2025. Vol. 373. Article 123407. https://doi.org/10.1016/j.jenvman.2024.123407.
Ghanem S., Ferrini S., Di Maria C. Air pollution and willingness to pay for health risk reductions in Egypt: A contingent valuation survey of Greater Cairo and Alexandria households // World Development. Vol. 172. Article 106373. https://doi.org/10.1016/j.worlddev.2023.106373.
Hammitt J.K. Valuing mortality risk: Theory and practice // Environmental Science & Technology. 2000. Vol. 34, no. 8. P. 1396–1400. https://doi.org/10.1021/ES990733N.
Hammitt J.K., Graham J.D. Willingness to pay for health protection: Inadequate sensitivity to probability? // Journal of Risk and Uncertainty. 1999. Vol. 18. P. 33–62. https://doi.org/10.1023/A:1007760327375.
Handbook on the external costs of transport. Version 2019 – 1.1 / H. van Essen [et al.]. Luxembourg, 2019. 332 p. https://doi.org/10.2832/51388.
Hanemann M., Loomis J., Kanninen B. Statistical efficiency of double‐bounded dichotomous choice contingent valuation // American Journal of Agricultural Economics. 1991. Vol. 73, no. 4. P. 1255–1265. https://doi.org/10.2307/1242453.
Herrera-Araujo D., Rheinberger C.M., Hammitt J.K. Valuing non-marginal changes in mortality and morbidity risk // Journal of Health Economics. 2022. Vol. 84 Article 102627. https://doi.org/10.1016/j.jhealeco.2022.102627.
Leiter A.M., Pruckner G.J. Proportionality of willingness to pay to small changes in risk: the impact of attitudinal factors in scope tests // Environmental and Resource Economics. 2009. Vol. 42. P. 169‒186. https://doi.org/10.1007/s10640-008-9214-z.
Lopez-Feldman A. Introduction to contingent valuation using Stata // MPRA Paper. 2012. No. 41018. P. 1‒16. URL: https://mpra.ub.uni-muenchen.de/41018/ (дата обращения: 17.10.2025).
Ports and their influence on local air pollution and public health: A global analysis / C. Ducruet [et al.] // Science of the Total Environment. 2024. Vol. 915. Article 170099. https://doi.org/10.1016/j.scitotenv.2024.170099.
Wang H., Mullahy J. Willingness to pay for reducing fatal risk by improving air quality: a contingent valuation study in Chongqing, China // Science of the Total Environment. 2006. Vol. 367, no. 1. P. 50‒57. https://doi.org/10.1016/j.scitotenv.2006.02.049.
Who feels a greater environmental risk? Women, younger adults and pro-environmentally friendly people express higher concerns about a set of environmental exposures / M. Subiza-Pérez [et al.] // Environmental Research. 2020. Vol. 181. Article 108918. https://doi.org/10.1016/j.envres.2019.108918.
 
References:
 
Alberini, A., Cropper, M., Krupnick, A. & Simon, N.B. (2004) Does the value of a statistical life vary with age and health status? Evidence from the US and Canada. Journal of Environmental Economics and Management. 48 (1), 769–792. Available from: doi:10.1016/j.jeem.2003.10.005.
Andersson, H. & Svensson, M. (2008) Cognitive ability and scale bias in the contingent valuation method: An analysis of willingness to pay to reduce mortality risk. Environmental and Resource Economics. 39 (4), 481–495. Available from: doi:10.1007/s10640-007-9137-0.
Arigoni Ortiz, R., Markandya, A. & Hunt, A. (2009) Willingness to pay for mortality risk reduction associated with air pollution in São Paulo. Revista Brasileira de Economia. 63 (1), 3‒22. Available from: doi:10.1590/S0034-71402009000100001.
de Lima, M. (2020) The value of a statistical life in Mexico. Journal of Environmental Economics and Policy. 9 (2), 140–166. Available from: doi:10.1080/21606544.2019.1617196.
Ducruet, C., Polo Martin, B., Sene, M.A., Lo Prete, M., Sun, L., Itoh, H. & Pigné, Y. (2024) Ports and their influence on local air pollution and public health: A global analysis. Science of the Total Environment. 915, 170099. Available from: doi:10.1016/j.scitotenv.2024.170099.
Eom, Y.S., Ahn, S. & Shadbegian, R. (2025) Willingness to pay to reduce mortality risks from particulate matter and value of statistical life: Evidence from stated air purifier rental choices in South Korea. Journal of Environmental Management. 373, 123407. Available from: doi:10.1016/j.jenvman.2024.123407.
Ghanem, S., Ferrini, S. & Di Maria, C. (2023) Air pollution and willingness to pay for health risk reductions in Egypt: A contingent valuation survey of Greater Cairo and Alexandria households. World Development. 172, 106373. Available from: doi:10.1016/j.worlddev.2023.106373.
Hammitt, J.K. & Graham, J.D. (1999) Willingness to pay for health protection: Inadequate sensitivity to probability? Journal of Risk and Uncertainty. 18, 33–62. Available from: doi:10.1023/A:1007760327375.
Hammitt, J.K. (2000) Valuing mortality risk: Theory and practice. Environmental Science & Technology. 34 (8), 1396–1400. Available from: doi:10.1021/ES990733N.
Hanemann, M., Loomis, J. & Kanninen, B. (1991) Statistical efficiency of double‐bounded dichotomous choice contingent valuation. American Journal of Agricultural Economics. 73 (4), 1255‒1263. Available from: doi:10.2307/1242453.
Herrera-Araujo, D., Rheinberger, C.M. & Hammitt, J.K. (2022) Valuing non-marginal changes in mortality and morbidity risk. Journal of Health Economics. 84, 102627. Available from: doi:10.1016/j.jhealeco.2022.102627.
Itaoka, K., Krupnick, A., Akai, M., Alberini, A., Cropper, M. & Simon, N. (2007) Age, health, and the willingness to pay for mortality risk reductions: A contingent valuation survey of Shizuoka, Japan, residents. Environmental Economics and Policy Studies. 8 (3), 211–237. Available from: doi:10.1007/BF03353958.
Kosyakina, A.I. & Ponomareva, E.A. (2021) The Value of a Statistical Life: Estimates Based on the Concept of Human Capital. Economic Policy. 16 (6), 94‒119. Available from: doi:10.18288/1994-5124-2021-6-94-119. (In Russian)
Krupnick, A., Alberini, A., Cropper, M. & Heintzelman, M.D. (2002) Age, health and the willingness to pay for mortality risk reductions: A contingent valuation survey of Ontario residents. Journal of Risk and Uncertainty. 24 (2), 161–186. Available from: doi:10.1023/A:1014020027011.
Leiter, A.M. & Pruckner, G.J. (2009) Proportionality of willingness to pay to small changes in risk: The impact of attitudinal factors in scope tests. Environmental and Resource Economics. 42, 169–186. Available from: doi:10.1007/s10640-008-9214-z.
Lopez-Feldman, A. (2012) Introduction to contingent valuation using Stata. MPRA Paper. (41018), 1‒16. URL: https://mpra.ub.uni-muenchen.de/41018/ (accessed: 17.10.2025).
Poplavko, P.S. & Nagapetyan, A.R. (2024) Variation in Willingness-to-Pay Estimates Depending on the Magnitude of the Reduction in the Risk of Death from Air Pollution. Theory and Practice of Social Development. (5), 127–135. Available from: doi:10.24158/tipor.2024.5.16. (In Russian)
Poplavko, P.S. & Nagapetyan, A.R. (2025) Development of Economic and Mathematical Tools for Estimating the Cost of Living Taking into Account the Decreasing Marginal Willingness to Pay for the Reduction of an Additional Unit of Death Risk. Theory and Practice of Social Development. (6), 166–175. Available from: doi:10.24158/tipor.2025.6.19 (In Russian).
Sajise, A.J., Samson, J.N., Quiao, L., Sibal, J., Raitzer, D.A. & Harder, D. (2021) Contingent valuation of nonmarket benefits in project economic analysis: a guide to good practice. Asian Development Bank. 208 p.
Subiza-Pérez, M., Santa Marina, L., Irizar, A., Gallastegi, M., Anabitarte, A. & Urbieta, N. et al. (2020) Who feels a greater environmental risk? Women, younger adults and pro-environmentally friendly people express higher concerns about a set of environmental exposures. Environmental Research. 181, 108918. Available from: doi:10.1016/j.envres.2019.108918.
van Essen, H., van Wijngaarden, L., Schroten, A., Sutter, D., Bieler, C. & Maffii, S. (2019) Handbook on the external costs of transport. Version 2019 – 1.1. Luxembourg. 332 p. Available from: doi:10.2832/51388.
Wang, H. & Mullahy, J. (2006) Willingness to pay for reducing fatal risk by improving air quality: A contingent valuation study in Chongqing, China. Science of the Total Environment. 367 (1), 50–57. Available from: doi:10.1016/j.scitotenv.2006.02.049.
Zubova, E.A. (2022) Value of statistical life in Russia based on microdata. Journal of the New Economic Association. (1 (53)), 163–179. Available from: doi:10.31737/2221-2264-2022-53-1-8. (In Russian)