METHODOLOGY FOR ASSESSING THE ECONOMIC DAMAGE OF ECOLOGICAL HAZARDS IN URBAN AREAS: CONCEPTUAL SHORTCOMINGS OF NON-MARKET VALUATION METHODS AND THE INTEGRAL DAMAGE FUNCTION APPROACH

METHODOLOGY FOR ASSESSING THE ECONOMIC DAMAGE OF ECOLOGICAL HAZARDS IN URBAN AREAS: CONCEPTUAL SHORTCOMINGS OF NON-MARKET VALUATION METHODS AND THE INTEGRAL DAMAGE FUNCTION APPROACH

##article.authors##

  • Abbos Saydullaev
  • Iqboloy Choriyorova

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https://doi.org/10.5281/zenodo.20593593

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non-market valuation, damage function, urban ecological hazards, construction pollution, traffic congestion, industrial waste, contingent valuation, hedonic pricing, Impact Pathway Approach, health cost assessment, environmental economics

##article.abstract##

This study provides a critical theoretical-bibliographic analysis of methodological challenges in
assessing the economic damage caused by three specific ecological hazards in urban areas — construction
site pollution, traffic congestion, and industrial waste — through the lens of non-market valuation methods. The
paper examines the conceptual limitations of both stated and revealed preference approaches and proposes
the integral damage function mechanism, grounded in the Impact Pathway Approach, as a theoretically wellfounded
alternative for translating environmental hazards into economic losses and healthcare expenditure
impacts.
A theoretical-bibliographic review was conducted by systematically analyzing peer-reviewed literature from
Scopus- and Web of Science-indexed journals. The study synthesizes foundational and contemporary works
on contingent valuation, hedonic pricing, choice experiments, and damage function approaches within the
framework of urban environmental economics. No primary empirical data or statistical datasets were employed;
the analysis is exclusively conceptual and literature-based.
The analysis reveals that conventional non-market valuation methods have certain systematic conceptual
limitations when applied to urban ecological hazards.: contingent valuation exhibits hypothetical bias, scope
insensitivity, and WTP-WTA disparity; hedonic pricing is compromised by omitted variable bias and spatial
confounding; and choice experiments face cognitive burden and status quo bias. The integral damage function
approach offers a structured causal chain linking emission sources through atmospheric dispersion and doseresponse
relationships to quantifiable health and economic endpoints. A multi-level conceptual framework
diagram is developed, illustrating the transformation pathway from environmental hazards to economic losses
and healthcare costs across macro, meso, and micro analytical levels.

##submission.authorBiographies##

Abbos Saydullaev

¹ Department of Green Economy and Sustainable Business, Samarkand branch
of Tashkent State University of Economics, Samarkand 140104, Uzbekistan


Iqboloy Choriyorova

¹ Department of Green Economy and Sustainable Business, Samarkand branch
of Tashkent State University of Economics, Samarkand 140104, Uzbekistan

##submission.citations##

1. Ackerman, F., Stanton, E. A., & Bueno, R. (2010). Fat tails, exponents, extreme uncertainty: Simulating

catastrophe in DICE. Ecological Economics, 69(8), 1657–1665.

2. Gilchrist, A., & Allouche, E. N. (2005). Quantification of social costs associated with construction

projects: State-of-the-art review. Tunnelling and Underground Space Technology, 20(1), 89–104.

3. Anas, A., & Lindsey, R. (2011). Reducing urban road transportation externalities: Road pricing in theory

and in practice. Review of Environmental Economics and Policy, 5(1), 66–88.

4. Arrow, K., Solow, R., Portney, P. R., Leamer, E. E., Radner, R., & Schuman, H. (1993). Report of the

NOAA Panel on Contingent Valuation. Federal Register, 58(10), 4601–4614.

5. Baumol, W. J., & Oates, W. E. (1988). The Theory of Environmental Policy (2nd ed.). Cambridge

University Press.

6. Cummings, R. G., & Taylor, L. O. (1999). Unbiased value estimates for environmental goods: A cheap

talk design for the contingent valuation method. American Economic Review, 89(3), 649–665.

7. Desvousges, W., Mathews, K., & Train, K. (2012). Adequate responsiveness to scope in contingent

valuation. Ecological Economics, 84, 121–128.

8. Diamond, P. A., & Hausman, J. A. (1994). Contingent valuation: Is some number better than no number?

Journal of Economic Perspectives, 8(4), 45–64.

9. Freeman, A. M. III. (2003). The Measurement of Environmental and Resource Values: Theory and

Methods (2nd ed.). Resources for the Future.

10. Friedrich, R., & Bickel, P. (Eds.). (2001). Environmental External Costs of Transport. Springer

11. Chay, K. Y., & Greenstone, M. (2005). Does air quality matter? Evidence from the housing market.

Journal of Political Economy, 113(2), 376–424.

12. Hanemann, W. M. (1991). Willingness to pay and willingness to accept: How much can they differ?

American Economic Review, 81(3), 635–647.

13. Hanley, N., Wright, R. E., & Adamowicz, V. (1998). Using choice experiments to value the environment.

Environmental and Resource Economics, 11(3–4), 413–428.

14. Hausman, J. (2012). Contingent valuation: From dubious to hopeless. Journal of Economic Perspectives,

26(4), 43–56.

15. Hodgson, T. A., & Meiners, M. R. (1982). Cost-of-illness methodology: A guide to current practices and

procedures. The Milbank Memorial Fund Quarterly. Health and Society, 60(3), 429–462.

16. Horowitz, J. K., & McConnell, K. E. (2002). A review of WTA/WTP studies. Journal of Environmental

Economics and Management, 44(3), 426–447.

17. Hoyos, D. (2010). The state of the art of environmental valuation with discrete choice experiments.

Ecological Economics, 69(8), 1595–1603.

18. Kling, C. L., Phaneuf, D. J., & Zhao, J. (2012). From Exxon to BP: Has some number become better

than no number? Journal of Economic Perspectives, 26(4), 3–26.

19. Lancaster, K. J. (1966). A new approach to consumer theory. Journal of Political Economy, 74(2),

132–157.

20. Mitchell, R. C., & Carson, R. T. (1989). Using Surveys to Value Public Goods: The Contingent Valuation

Method. Resources for the Future.

21. Murphy, J. J., Allen, P. G., Stevens, T. H., & Weatherhead, D. (2005). A meta-analysis of hypothetical

bias in stated preference valuation. Environmental and Resource Economics, 30(3), 313–325.

22. Murray, C. J. L., & Lopez, A. D. (1996). The Global Burden of Disease. Harvard University Press.

23. Nordhaus, W. D. (1994). Managing the Global Commons: The Economics of Climate Change. MIT

Press.

24. Nordhaus, W. D. (2008). A Question of Balance: Weighing the Options on Global Warming Policies.

Yale University Press.

25. Parry, I. W. H., Walls, M., & Harrington, W. (2007). Automobile externalities and policies. Journal of

Economic Literature, 45(2), 373–399.

26. Pearce, D., Atkinson, G., & Mourato, S. (2006). Cost-Benefit Analysis and the Environment: Recent

Developments. OECD Publishing.

27. Pigou, A. C. (1920). The Economics of Welfare. Macmillan.

28. Prüss-Üstün, A., Wolf, J., Corvalán, C., Bos, R., & Neira, M. P. (2016). Preventing Disease through

Healthy Environments: A Global Assessment of the Burden of Disease from Environmental Risks. World Health

Organization.

29. Rosen, S. (1974). Hedonic prices and implicit markets: Product differentiation in pure competition.

Journal of Political Economy, 82(1), 34–55.

30. Smith, V. K., & Huang, J. C. (1995). Can markets value air quality? A meta-analysis of hedonic property

value models. Journal of Political Economy, 103(1), 209–227.

31. Stern, N. (2007). The Economics of Climate Change: The Stern Review. Cambridge University Press.

32. Tietenberg, T., & Lewis, L. (2018). Environmental and Natural Resource Economics (11th ed.).

Routledge.

33. van den Bergh, J. C. J. M., & Botzen, W. J. W. (2015). Monetary valuation of the social cost of CO₂

emissions: A critical survey. Ecological Economics, 114, 33–46.

34. Weitzman, M. L. (2009). On modeling and interpreting the economics of catastrophic climate change.

Review of Economics and Statistics, 91(1), 1–19.

35. Weitzman, M. L. (2010). What is the damages function for global warming — and what difference might

it make? Climate Change Economics, 1(1), 57–69.

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##submissions.published##

2026-06-01
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