An OOHB-DC Survey for Estimating Willingness to Pay of Residual Consumers to Avoid Power Outage by Using PSO

Document Type : Research Paper

Authors

1 Department of Management and Economics, Bahonar University of Kerman, Kerman, Iran.

2 Southern Kerman Electricity Distribution Company, Kerman, Iran.

3 Golgohar Mining and Industrial Company, Sirjan, Iran.

10.22059/ier.2025.342281.1007441

Abstract

In the face of insufficient energy production in power systems, load shedding in residential areas has become unavoidable. This study evaluates the willingness to pay (WTP) among households in Kerman, Iran, to prevent power outages. A survey of 800 households was conducted in May 2021 using a one-and-one-half-bound dichotomous choice (OOHB-DC) approach, integrated with a spike model to address zero WTP responses. The questionnaire was designed to clearly communicate the study’s purpose, ensuring meaningful responses. Particle swarm optimization (PSO) was employed to estimate model parameters. Findings indicate that the average monthly WTP per household is 92,886 Rials (USD 0.37), with an annual aggregate value of 972 billion Rials (USD 3.89 million). These results, which are statistically significant, suggest that substantial investments are needed by utility providers to maintain reliable power supply in residential areas.
 

Keywords

Main Subjects


Arrow, K., Solow, R., Portney, P. R., Leamer, E. E., Radner, R., & Schuman, H. (1993). Report of the NOAA Panel on Contingent Valuation. Federal Register58(10), 4601-4614. Retrieved from https://repository.library.noaa.gov/view/noaa/60900
Bateman, I. J., Langford, I. H., Jones, A. P., & Kerr, G. N. (2001). Bound and Path Effects in Double and Triple Bounded Dichotomous Choice Contingent Valuation. Resource and Energy Economics23(3), 191-213. Retrieved from https://www.sciencedirect.com/science/article/pii/S0928765500000440
Carlsson, F., & Martinsson, P. (2009). Does it Matter When a Power Outage Occurs? A Choice Experiment Study on the Willingness to Pay to Avoid Power Outages. Working Papers in Economics, 155. Retrieved from https://gupea.ub.gu.se/bitstream/handle/2077/19627/gupea_2077_19627_1.pdf?sequence=1
Carson, R. T., Flores, N. E., & Mitchell, R. C. (1999). The Theory and Measurement of Passive-Use Value. Valuing Environmental Preferences: Theory and Practice of the Contingent Valuation Method in the US, EU, and Developing Countries, Retrieved from https://www.researchgate.net/
Cooper, J. C., Hanemann, W. M., & Signorello, G. (2001). One-and-one-half Bound Dichotomous Choice Contingent Valuation. Retrieved from https://escholarship.org/content/qt09c663b2/qt09c663b2.pdf
De Villiers, C., Cho, C. H., Turner, M. J., & Scarpa, R. (2023). Are Shareholders Willing to Pay for Financial, Social and Environmental Disclosure? A Choice-Based Experiment. European Accounting Review32(1), 1-28. Retrieved from https://repository.up.ac.za/bitstreams/597c2234-7e1a-4196-9b4c-afe180ae99c5/download
Eberhart, R., & Kennedy, J. (1995). Particle Swarm Optimization. Proceedings of the IEEE International Conference on Neural Networks (4, 1942-1948). Retrieved from https://pdfs.semanticscholar.org/5694/91ee9dfe5e0752d4890421d611c296fcaf91.pdf
Galati, A., Migliore, G., Thrassou, A., Schifani, G., Rizzo, G., Adamashvili, N., & Crescimanno, M. (2023). Consumers’ Willingness to Pay for Agri-Food Products Delivered With Electric Vehicles in the Short Supply Chains. FIIB Business Review12(2), 193-207. Retrieved from https://journals.sagepub.com/doi/pdf/10.1177/23197145221112743
Gomes, S., Lopes, J. M., & Nogueira, S. (2023). Willingness to Pay More for Green Products: A Critical Challenge for Gen Z. Journal of Cleaner Production390, 136092. Retrieved from https://www.sciencedirect.com/science/article/pii/S0959652623002500
Hanemann, W. M. (1984). Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses. American Journal of Agricultural Economics66(3), 332-341. Retrieved from https://www.jstor.org/stable/pdf/1240800.pdf
Hensher, D. A., Shore, N., & Train, K. (2014). Willingness to Pay for Residential Electricity Supply Quality and Reliability. Applied Energy115, 280-292. Retrieved from https://www.sciencedirect.com/science/article/pii/S0306261913009008
Hu, W. (2006). Comparing Consumers’ Preferences and Willingness to Pay for Non-GM Oil Using a Contingent Valuation Approach. Empirical Economics31(1), 143-150. Retrieved from https://link.springer.com/article/10.1007/s00181-005-0027-4
Liu, X., He, J., Xiong, K., Liu, S., & He, B. J. (2023). Identification of Factors Affecting Public Willingness to Pay for Heat Mitigation and Adaptation: Evidence from Guangzhou, China. Urban Climate48, 101405. Retrieved from https://www.sciencedirect.com/science/article/pii/S2212095522003236
Kim, K., & Cho, Y. (2017). Estimation of Power Outage Costs in the Industrial Sector of South Korea. Energy Policy101, 236-245. Retrieved from https://www.academia.edu/download/97183160/150056.pdf
Kriström, B. (1997). Spike Models in Contingent Valuation. American Journal of Agricultural Economics79(3), 1013-1023. Retrieved from https://onlinelibrary.wiley.com/doi/pdf/10.2307/1244440
McFadden, D. (1994). Contingent Valuation and Social Choice. American Journal of Agricultural Economics76(4), 689-708. Retrieved from https://www.jstor.org/stable/pdf/1243732.pdf
Morrissey, K., Plater, A., & Dean, M. (2018). The Cost of Electric Power Outages in the Residential Sector: A Willingness to Pay Approach. Applied Energy212, 141-150. Retrieved from https://drive.google.com/file/d/1GuJsWjf2O6bewhNXmVJB3oXbm0QUev-s/view
Ozbafli, A., & Jenkins, G. P. (2015). The Willingness to Pay by Households for Improved Reliability of Electricity Service in North Cyprus. Energy Policy87, 359-369. Retrieved from https://www.sciencedirect.com/science/article/pii/S0301421515301002
Randall, A., Ives, B., & Eastman, C. (1974). Bidding Games for Valuation of Aesthetic Environmental Improvements. Journal of Environmental Economics and Management1(2), 132-149. Retrieved from https://www.academia.edu/download/50339051/sdarticle.pdf
Ready, R. C., Buzby, J. C., & Hu, D. (1996). Differences between Continuous and Discrete Contingent Value Estimates. Land Economics, 397-411. Retrieved from https://www.jstor.org/stable/pdf/3147205
Reichl, J., Schmidthaler, M., & Schneider, F. (2013). The Value of Supply Security: The Costs of Power Outages to Austrian Households, Firms and the Public Sector. Energy Economics36, 256-261. Retrieved from https://www.sciencedirect.com/science/article/pii/S0140988312002149
Speckemeier, C., Krabbe, L., Schwenke, S., Wasem, J., Buchberger, B., & Neusser, S. (2021). Discrete Choice Experiment to Determine Preferences of Decision-Makers in Healthcare for Different Formats of Rapid Reviews. Systematic Reviews10, 1-8. Retrieved from https://link.springer.com/content/pdf/10.1186/s13643-021-01647-z.pdf
Tian, X., Yu, X., & Holst, R. (2011). Applying the Payment Card Approach to Estimate the WTP for Green Food in China. Retrieved from https://www.econstor.eu/bitstream/10419/50786/1/670816833.pdf
Tran, B. X., Do, A. L., Boyer, L., Auquier, P., Le, H. T., Le Vu, M. N., Dang, T. H. T., Cao, K. M., Le, L. D. T., Cu, L. T. N.,  Ly, B. V., Nguyen, D. A. T., Nguyen, M. D., Latkin, C. A., Ho, R. C. M., Ho, C. S. H., & Zhang, M. W. (2023). Preference and Willingness to Pay for the Regular COVID-19 Booster Shot in the Vietnamese Population: Theory-Driven Discrete Choice Experiment. JMIR Public Health and Surveillance9(1), e43055. Retrieved from https://publichealth.jmir.org/2023/1/e43055/
Venkatachalam, L. (2004). The Contingent Valuation Method: A Review. Environmental Impact Assessment Review24(1), 89-124. Retrieved from https://www.sciencedirect.com/science/article/pii/S0195925503001380
Woo, C. K., Ho, T., Shiu, A., Cheng, Y. S., Horowitz, I., & Wang, J. (2014). Residential Outage Cost Estimation: Hong Kong. Energy Policy72, 204-210. Retrieved from https://www.sciencedirect.com/science/article/pii/S0301421514002791