اقتصاد کشاورزی و توسعه

اقتصاد کشاورزی و توسعه

قابلیت اطمینان و اعتبار در مطالعات ارزش‌‏گذاری مشروط: مبانی نظری و آزمون‏‌ها

نوع مقاله : مقاله پژوهشی

نویسندگان
1 استادیار گروه اقتصاد کشاورزی، دانشکدة کشاورزی، دانشگاه سیدجمال‌الدین اسدآبادی، اسدآباد، ایران.
2 استادیار گروه اقتصاد کشاورزی، دانشکده کشاورزی، دانشگاه سید جمال‌الدین اسدآبادی. اسد آباد. ایران.
10.30490/aead.2026.367525.1694
چکیده
با وجود کاربرد گستردة «مطالعات ارزش‌‏گذاری مشروط»، همواره این‏گونه پژوهش‌‏ها با انتقادات جدی در خصوص قابلیت اطمینان و اعتبار نتایج آن مواجه بوده‌ و در عمل، ماهیت فرضی بودن سناریوها، اتکا به پاسخ‌‏های اظهارشده و عدم وجود رفتار واقعی بازار به بروز انواع مختلف تورش‏‌ها در فرآیند طراحی، اجرا و تحلیل این مطالعات انجامیده است. از این‌‏رو، صرف استفاده از روش ارزش‌‏گذاری مشروط و بدون ارزیابی دقیق کیفیت داده‌ها از دید بسیاری از پژوهشگران و داوران علمی قابل قبول نیست. در واکنش به این چالش‌ها، ارزیابی قابلیت اطمینان و اعتبار مطالعات ارزش‌‏گذاری مشروط بیش از پیش در کانون توجه قرار گرفته و با وجود تأکید گسترده ادبیات بر اهمیت این مفاهیم، در بسیاری از مطالعات تجربی ارزش‌‏گذاری مشروط، آزمون‏‌های قابلیت اطمینان و اعتبار یا به‌صورت محدود انجام شده یا صرفاً به‌صورت توصیفی گزارش شده است. بر این اساس، مطالعه حاضر با هدف شناسایی و تبیین انواع تورش‌‏ها در مطالعات ارزش‏‌گذاری مشروط و بررسی آزمون‏‌های قابلیت اطمینان و اعتبار انجام شد. به ‏منظور ارائه نمونه‌ای عملی، انواع آزمون اعتبار در مطالعه سام‏‌دلیری (Samdeliri, 2023) در زمینة محاسبه ارزش‌‏های تفرجی دریاچه آویدر شهرستان نوشهر که با روش ارزش‌‏گذاری مشروط (CVM) انجام شده بود، مورد بررسی قرار گرفت. نتایج نشان داد که اعتبار محتوایی، اعتبار ساختاری و اعتبار بر مبنای انتظارات مطالعه بالا و اعتبار همگرایی آن تا حدودی پایین بوده است.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Reliability and Validity in Contingent Valuation Studies: Theoretical Bases and Tests

نویسندگان English

Farshad Mohammadian 1
Ahmad Samdeliri 2
1 Assistant Professor, Department of Agricultural Economics, Sayyed Jamaleddin Asadabadi University, Asadabad, Iran.
2 Assistant Professor, Agricultural Economics, Sayyed Jamaleddin Asadabadi University, Asadabad, Iran.
چکیده English

Introduction: The Contingent Valuation Method (CVM) is one of the most widely used tools for estimating non-market environmental values in natural resource and environmental economics. Despite its extensive application in policy analysis, concerns regarding the reliability and validity of CVM estimates remain a central issue in the literature. A substantial number of empirical studies either implement these tests in a limited manner or report them only descriptively. Such methodological shortcomings may lead to the use of unreliable estimates in environmental management and policy-making. This study aimed at clarifying the theoretical foundations of reliability and validity in CVM studies and providing an applied framework for their evaluation. Therefore, the main contribution of this study lies in integrating theoretical discussion with empirical evidence and demonstrating the practical assessment of validity tests using data from a previous CVM study (Samdeliri, 2023) on the recreational value of Avidar Lake in Nowshahr County, Iran. The results were expected to contribute to improving the design, implementation, and interpretation of CVM studies in environmental economics. 
Materials, Methods and Theoretical Framework: In non-market valuation studies, reliability refers to the stability and reproducibility of valuation results, indicating whether a measurement instrument yields consistent outcomes under similar conditions. Validity, in contrast, addresses whether CVM estimates truly reflect individuals’ economic preferences for the proposed environmental change rather than hypothetical responses, general attitudes, or strategic behavior. The distinction between these two concepts is particularly important in CVM, as a study may exhibit high reliability while lacking sufficient validity. Accordingly, reliability is a necessary but not sufficient condition for validity. Reliability in CVM studies encompasses several dimensions, including test-retest reliability, internal reliability, inter-interviewer reliability, and equivalent-form reliability. These dimensions are commonly assessed using correlation coefficients between Willingness-to-Pay (WTP) estimates obtained at different points in time, Cronbach’s alpha for attitudinal or awareness scales, intraclass correlation coefficients for repeated samples, and mean comparison tests to examine the absence of statistically significant differences across survey rounds or questionnaire versions. Validity in CVM is inherently multidimensional and includes content validity, construct validity, convergent validity, discriminant validity, criterion validity, and validity based on theoretical expectations. Content validity examines whether the valuation scenario is understandable and credible, whether the payment vehicle is realistic, and whether all relevant components of environmental value are adequately covered. This type of validity is typically evaluated through expert judgment and pilot testing. Construct validity assesses whether estimated WTP behaves in accordance with economic theory, often by examining its relationship with key socioeconomic variables such as income, education, and environmental awareness. Convergent and discriminant validity are evaluated by comparing CVM estimates with results obtained from alternative valuation methods or with variables that are theoretically related or unrelated to WTP. Validity based on theoretical expectations focuses on whether CVM estimates are consistent with prior empirical evidence and established economic intuition. In this study, content validity of the previous CVM survey (Samdeliri, 2023) was assessed through expert review. Construct validity was examined using a regression framework in which WTP is specified as a function of income, education, and an environmental awareness index. Convergent validity and validity based on expectations were evaluated by comparing CVM results with estimates derived from using Travel Cost Method (TCM). 
Results and Discussion: The qualitative assessment of the questionnaire by environmental and natural resource experts indicated that the valuation scenario, payment vehicle, and questionnaire structure were clear, coherent, and conceptually sound, and that they adequately captured the relevant dimensions of environmental value. These findings support the content validity of the CVM study. Regression results showed that income, education, and environmental awareness had statistically positive effects on WTP. These results are consistent with theoretical predictions in environmental economics and therefore, support the construct validity of the CVM estimates. To assess convergent validity, recreational values estimated using CVM were compared with those obtained from TCM. The CVM results indicated that the average individual WTP in 2019 was 104,660 IRI rials, which after adjusting for a 40 percent inflation rate in 2020, corresponded to approximately 146,520 IRI rials per recreational visit. In contrast, TCM estimates for 2020 suggested a shadow price of approximately 449,280 IRI percent per visit. These findings imply that CVM estimates amount to roughly one-third of TCM estimates, indicating relatively low convergent validity. However, from the perspective of validity based on theoretical expectations, these results are defensible. The TCM reflects actual revealed behavior, whereas CVM relies on a hypothetical market and may be affected by hypothetical bias and the public good nature of environmental resources. Therefore, higher estimates obtained from TCM relative to CVM are consistent with economic intuition and prior empirical findings.
Conclusion and Suggestions: This study highlighted the importance of systematically assessing both reliability and validity in CVM studies to enhance the credibility of non-market valuation results. While the examined study demonstrates acceptable content validity, construct validity, and validity based on theoretical expectations, its convergent validity is limited. These findings underscore the need for caution when interpreting CVM estimates in isolation. Future research is encouraged to compare CVM results not only with the TCM but also with other non-market valuation approaches, particularly simulated market methods, to provide more robust evidence regarding the validity of estimated environmental values.

کلیدواژه‌ها English

Contingent Valuation
Travel Cost
Bias
Reliability
Validity
1.      Abdeshahi, A, & Ensan, E. (2018). Economic evaluation of recreational operation of Ahwaz Beach Park using individual travel cost method. Journal of Environmental Science and Technology, 20(77), 191-202. [In Persian]
2.      Alfnes, F., Yue, C., & Jensen, H. H. (2009). Cognitive dissonance as a means of reducing hypothetical bias. European Review of Agricultural Economics, 37(2), 1-40.
3.      Arrow, K. (1993). Report of the NOAA panel on contingent valuation. Available at http://www.darp.noaa.gov/pdf/cvblue.pdf.
4.      Balali, H., Shahbazi, H., & Hakimpoor, M. (2018). Tourism recreational value of environmental and tourism resources: case study of Ganjnameh Zone in Hamedan province. Agricultural Economics Research, 10(38), 65-80. [In Persian]
5.      Bateman, I. J., Carson, R. T., Day, B., Hanemann, M., Hanley, N., Hett, T., Jones-Lee, M., Loomes, G., Mourato, S., Ozdemiroglu, E., Pearce, D., Sugden, R., & Swanson, J. (2002). Economic valuation with stated preference techniques. Edward Elgar Publishing, Inc. Cheltenham, UK/ Northampton, MA, USA.
6.      Bennett, J., Cheesman, J., & Milenkovic, K. (2017). Prioritising environmental management investments using the contingent valuation method. J. Environ. Economics Policy, 7, 244-255.
7.      Bischoff, I., & Krauskopf, T. (2015). Warm glow of giving collectively–an experimental study. Journal of Economic Psychology, 51, 210-218.
8.      Bishop, R. C., & Heberlein, T. A. (1979). Measuring values of extramarket goods: Are indirect measures biased? American Journal of Agricultural Economics, 61(5), 926-930.
9.      Carmines, E. G., & Zeller, R. A. (1979). Reliability and validity assessment. Sage Publications.
10.  Carson, R. T., & Groves, T. (2007). Incentive and informational properties of preference questions. Environmental and Resource Economics, 37(1), 181-210.
11.  Carson, R. T., Flores, N. E., & Meade, N. F. (2001). Contingent valuation: controversies and evidence. Environmental and Resource Economics, 19(2), 173-210.
12.  Carson, R., & Hanemann, M. (2006). Contingent valuation. In: Handbook of Environmental Economics (Chapter 17), 2, 821-936.
13.  Chen, W. Y., Aertsens, J., Liekens, I., Broekx, S., & De Nocker, L. (2014). Impact of perceived importance of ecosystem services and stated financial constraints on willingness to pay for riparian meadow restoration in Flanders (Belgium). Environmental Management, 54(2), 346-359.
14.  Cheng, Y. S., Cao, K. H., Woo, C. K., & Yatchew, A. (2017). Residential willingness to pay for deep decarbonization of electricity supply: contingent valuation evidence from Hong Kong. Energy Policy, 109, 218-227.
15.  Chung, H. K. (2008). The contingent valuation method in public libraries. Journal of Librarianship and Information Science, 40(2), 71-80.
16.  Day, B., Bateman, I. J., Carson, R. T., Dupont, D., Louviere, J. J., Morimoto, S., ... & Wang, P. (2012). Ordering effects and choice set awareness in repeat-response stated preference studies. Journal of Environmental Economics and Management, 63(1), 73-91.
17.  Dong, X., Zhang, J., Zhi, R., Zhong, S. E., & Li, M. (2011). Measuring recreational value of world heritage sites based on contingent valuation method: a case study of Jiuzhaigou. Chinese Geographical Science, 21(1), 119-128.
18.  Fattahi Ardakani, A. (2013). Fundamentals of economic valuation of natural resources. First Edition, Ardakan University, Ardakan, Iran. [In Persian]
19.  Fisher, R. J. (1993). Social desirability bias and the validity of indirect questioning. Journal of Consumer Research, 20(2), 303-315.
20.  Fleming, C. M., & Cook, A. (2008). The recreational value of Lake McKenzie, Fraser Island: an application of the travel cost method. Tourism Management, 29(6), 1197-1205.
21.  Gawrońska, G., Gawroński, K., Dymek, D., Sankowski, E., & Harris, B. (2018). Economic valuation of high natural value areas in Central Roztocze. Acta Scientiarum Polonorum. Formatio Circumiectus, 17(4).
22.  Ghorbani, R. (2017). Evaluation of the lack of parks in the urban areas of Tabriz using the per capita park method and the buffering method. Soffe Quarterly, 17(47), 109-201. [In Persian]
23.  Hanely, N., & Spash, C. L. (1993). Cost-benefit analysis and the environment. Edward Elgar Publishing Ltd., Cheltenham.
24.  Hanley, N., Schläpfer, F., & Spurgeon, J. (2003). Aggregating the benefits of environmental improvements: distance-decay functions for use and non-use values. Journal of Environmental Management, 68(3), 297-304.
25.  Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic literature, 42(4), 1009-1055.
26.  Harrison, G. W., & Rutström, E. E. (2008). Experimental evidence on the existence of hypothetical bias in value elicitation methods. Handbook of Experimental Economics Results, 1, 752-767.
27.  Hausman, J. (2012). Contingent valuation: from dubious to hopeless. Journal of Economic Perspectives, 26(4), 43-56.
28.  Jaung, W., & Carrasco, L. R. (2020). Travel cost analysis of an urban protected area and parks in Singapore: a mobile phone data application. Journal of Environmental Management, 261, 110238.
29.  Kipperberg, G., Onozaka, Y., Bui, L. T., Lohaugen, M., Refsdal, G., & Sæland, S. (2019). The impact of wind turbines on local recreation: evidence from two travel cost method-contingent behavior studies. Journal of Outdoor Recreation and Tourism, 25, 66-75.
30.  Köhlin, G. (2001). Contingent valuation in project planning and evaluation: the case of social forestry in Orissa, India. Environment and Development Economics, 6(2), 237-258.
31.  Liljas, B., & Blumenschein, K. (2000). On hypothetical bias and calibration in cost-benefit studies. Health Policy, 52(1), 53-70.
32.  Lopez-Becerra, E. I., & Alcon, F. (2021). Social desirability bias in the environmental economic valuation: an inferred valuation approach. Ecological Economics, 184, 106988.
33.  Lu, H., Fowkes, T., & Wardman, M. (2008). Amending the incentive for strategic bias in stated preference studies: case study in users’ valuation of rolling stock. Transportation Research Record, 2049(1), 128-135.
34.  Luisetti, T., Bateman, I. J., & Turner, R. K. (2011). Testing the fundamental assumption of choice experiments: Are values absolute or relative? Land Economics, 87(2), 284-296.
35.  Lusk, J. L., & Norwood, F. B. (2009a). An inferred valuation method. Land Economics, 85(3), 500-514.
36.  Lusk, J. L., & Norwood, F. B. (2009b). Bridging the gap between laboratory experiments and naturally occurring markets: an inferred valuation method. Journal of Environmental Economics and Management, 58(2), 236-250.
37.  Mafi Gholami, D., & Yarali, N. (2010). Promenade valuation of international wetland of Choghakhor by using zonal travel cost method. Ecology, 35(50), 45-54. DOR: 20.1001.1.10258620.1388.35.51.1.3. [In Persian]
38.  Mafi Gholami, D., Yarali, N., & Noori Kamari, A. (2012). Recreational valuation of natural tourism attractions by using Zonal Travel Cost Method (Z.T.C.M) (case study: Parvaz Forest Park, Choghakhor Wetland, A'atashgah Waterfall and Dimeh Fountain of Chahrmahal and Bakhtiari province). Geography and Territorial Spatial Arrangement, 2(3), 103-118. DOI: 10.22111/gaij.2012.702. [In Persian]
39.  Meginnis, K., Burton, M., Chan, R., & Rigby, D. (2021). Strategic bias in discrete choice experiments. Journal of Environmental Economics and Management, 109, 102163.
40.  Mejía, C. V., & Brandt, S. (2017). Utilizing environmental information and pricing strategies to reduce externalities of tourism: the case of invasive species in the Galapagos. Journal of Sustainable Tourism, 25(6), 763-778.
41.  Meyerhoff, J., & Liebe, U. (2006). Protest beliefs in contingent valuation: explaining their motivation. Ecological Economics, 57(4), 583-594.
42.  Mitchell, R. C., Carson, R. T. (1989). Using surveys to value public goods: the contingent valuation method. Resources for the Future, Washington, D.C.
43.  Moradi, G., Operajuneghani, E., Soltani Bobakani, A., & Dehghan Benadkuki, F. (2021). Estimating the economic value of tourist attractions using travel cost method (case study: Namir Garden, Yazd province). Tourism Management Studies, 16(56), 309-339. DOI: 10.22054/tms.2021.61638.2563. [In Persian]c
44.  Morrison, M. D., Blamey, R. K., & Bennett, J. W. (2000). Minimising payment vehicle bias in contingent valuation studies. Environmental and Resource Economics, 16(4), 407-422.
45.  Morrison, M., & Brown, T. C. (2009). Testing the effectiveness of certainty scales, cheap talk, and dissonance-minimization in reducing hypothetical bias in contingent valuation studies. Environmental and Resource Economics, 44(3), 307-326.
46.  Morsali, H., Mirsangari, M. M., & Mohammadyari, F. (2019). Economic recreational valuation of the Pirsalman Wetland of Hamedan province using the travel cost method. Journal of Wetland Ecobiology, 12(3), 87-100. [In Persian]
47.  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.
48.  Musamba, E. B., Boon, E. K., Ngaga, Y. M., Giliba, R. A., & Dumulinyi, T. (2012). The recreational value of wetlands: activities, socio-economic activities and consumers’ surplus around Lake Victoria in Musoma Municipality, Tanzania. Journal of Human Ecology, 37(2), 85-92.
49.  Nguyen, T. C., Robinson, J., Kaneko, S., & Nguyen, T. C. (2015). Examining ordering effects in discrete choice experiments: a case study in Vietnam. Economic Analysis and Policy, 45, 39-57.
50.  Norwood, F. B., & Lusk, J. L. (2011). Social desirability bias in real, hypothetical, and inferred valuation experiments. American Journal of Agricultural Economics, 93(2), 528-534.
51.  O’Brien, E., & Kassirer, S. (2019). People are slow to adapt to the warm glow of giving. Psychological Science, 30(2), 193-204.
52.  Pajooyan, J., & Falihi, N. (2008). The economic valuation of recreation services of environment resources, case: Anzali Wetland. Economics Research, 8(28), 147-171. [In Persian]
53.  Perez-Verdin, G., Sanjurjo-Rivera, E., Galicia, L., Hernandez-Diaz, J. C., Hernandez-Trejo, V., & Marquez-Linares, M. A. (2016). Economic valuation of ecosystem services in Mexico: current status and trends. Ecosystem Services, 21, 6-19.
54.  Perni, Á., Barreiro-Hurlé, J., & Martínez-Paz, J. M. (2021). Contingent valuation estimates for environmental goods: validity and reliability. Ecological Economics, 189, 107144.
55.  Pourbalighi, M., & Hejazi, R. (2018). Economic valuation of Qeshm Geopark Natural Resort using travel cost method. Journal of Tourism Space, 7(27), 17-34. [In Persian]
56.  Rolfe, J., & Dyack, B. (2010). Testing for convergent validity between travel cost and contingent valuation estimates of recreation values in the Coorong, Australia. Australian Journal of Agricultural and Resource Economics, 54(4), 583-599.
57.  Samdeliri, A. (2023). Interpretability of models with discrete dependent variables in natural resource valuation: a case study of recreational values of Avidar Lake in Nowshahr County of Iran. Agricultural Economics and Development, 31(3), 199-225. DOI: 10.30490/aead.2023.357365.1411. [In Persian]
58.  Shackley, P., & Dixon, S. (2014). The random card sort method and respondent certainty in contingent valuation: an exploratory investigation of range bias. Health Economics, 23(10), 1213-1223.
59.  Shahbazi, H. (2016). Ecotourism valuation of rural tourism target of Malhamdare village in Asadabad County of Hamedan province. Human and Environment, 14(3), 13-25. [In Persian] 
60.  Sheybani, M., & Rastegaripour, F. (2019). Economic valuation of recreational services of environmental resources (case study: Rudmajan Torbate Heidarieh village, Razavi Khorasan province). Rural Development Strategies, 6(2), 201-212. DOI: 10.22048/rdsj.2019.177914.1790. [In Persian]
61.  Soeteman, L., van Exel, J., & Bobinac, A. (2017). The impact of the design of payment scales on the willingness to pay for health gains. The European Journal of Health Economics, 18(6), 743-760.
62.  Svenningsen, L. S., & Jacobsen, J. B. (2018). Testing the effect of changes in elicitation format, payment vehicle and bid range on the hypothetical bias for moral goods. Journal of Choice Modelling, 29, 17-32.
63.  Turner, R. K., Van Den Bergh, J. C., Söderqvist, T., Barendregt, A., Van Der Straaten, J., Maltby, E., & Van Ierland, E. C. (2000). Ecological-economic analysis of wetlands: scientific integration for management and policy. Ecological Economics, 35(1), 7-23.
64.  Voke, M., Fairley, I., Willis, M., & Masters, I. (2013). Economic evaluation of the recreational value of the coastal environment in a marine renewables deployment area. Ocean & Coastal Management, 78, 77-87.
65.  Voltaire, L., Donfouet, H. P. P., Pirrone, C., & Larzillière, A. (2017). Respondent uncertainty and ordering effect on willingness to pay for salt marsh conservation in the brest roadstead (France). Ecological Economics, 137, 47-55.
66.  Wang, H., He, J., Kim, Y., & Kamata, T. (2013). Willingness-to-pay for water quality improvements in Chinese rivers: an empirical test on the ordering effects of multiple-bounded discrete choices. Journal of Environmental Management, 131, 256-269.
67.  Weiqi, C., Huasheng, H. O. N. G., Yan, L. I. U., & Xiaofeng, H. O. U. (2004). Recreation demand and economic value: an application of travel cost method for Xiamen Island. China Economic Review, 15(4), 398-406.
68.  Yadav, L., van Rensburg, T. M., & Kelley, H. (2013). A comparison between the conventional stated preference technique and an inferred valuation approach. Journal of Agricultural Economics, 64(2), 405-422.
69.  Yavari, G., & Asadi Bazardeh, L. (2016). Comparison of contingent valuation and travel cost methods for estimating the recreational value of Yazd Mountain Park. Iranian Economic Development Analyses, 4(4), 91-126. DOI: 10.22051/edp.2018.16868.1105. [In Persian]
70.  Zhang, F., Wang, X. H., Nunes, P. A., & Ma, C. (2015). The recreational value of gold coast beaches, Australia: an application of the travel cost method. Ecosystem Services, 11, 106-114.