Sadeghi, Zeinolabedin, Jalaee, Sayyed Abdolmajid, Sheykhzahedi, Zahra, Bazrafshan, Mohammad Reza. (1404). An OOHB-DC Survey for Estimating Willingness to Pay of Residual Consumers to Avoid Power Outage by Using PSO. , 29(2), 674-688. doi: 10.22059/ier.2025.342281.1007441
Zeinolabedin Sadeghi; Sayyed Abdolmajid Jalaee; Zahra Sheykhzahedi; Mohammad Reza Bazrafshan. "An OOHB-DC Survey for Estimating Willingness to Pay of Residual Consumers to Avoid Power Outage by Using PSO". , 29, 2, 1404, 674-688. doi: 10.22059/ier.2025.342281.1007441
Sadeghi, Zeinolabedin, Jalaee, Sayyed Abdolmajid, Sheykhzahedi, Zahra, Bazrafshan, Mohammad Reza. (1404). 'An OOHB-DC Survey for Estimating Willingness to Pay of Residual Consumers to Avoid Power Outage by Using PSO', , 29(2), pp. 674-688. doi: 10.22059/ier.2025.342281.1007441
Sadeghi, Zeinolabedin, Jalaee, Sayyed Abdolmajid, Sheykhzahedi, Zahra, Bazrafshan, Mohammad Reza. An OOHB-DC Survey for Estimating Willingness to Pay of Residual Consumers to Avoid Power Outage by Using PSO. , 1404; 29(2): 674-688. doi: 10.22059/ier.2025.342281.1007441

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

Iranian Economic Review
مقاله 12، دوره 29، شماره 2، تابستان 2025، صفحه 674-688    اصل مقاله (892.99 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/ier.2025.342281.1007441
نویسندگان
Zeinolabedin Sadeghi* 1؛ Sayyed Abdolmajid Jalaee1؛ Zahra Sheykhzahedi2؛ Mohammad Reza Bazrafshan3
1Department of Management and Economics, Bahonar University of Kerman, Kerman, Iran.
2Southern Kerman Electricity Distribution Company, Kerman, Iran.
3Golgohar Mining and Industrial Company, Sirjan, Iran.
چکیده
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.
 
کلیدواژه‌ها
OOHB-DC Survey؛ Particle Swarm Optimization؛ Residual Consumers؛ Willingness to Pay
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