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The causes of electricity theft: An econometric analysis of the case of Turkey

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  • Yurtseven, Çağlar

Abstract

This paper, attempts to comprehend and analyze the determinant socio-economic background of illegal electricity consumption by estimating an energy theft equation through applying different econometric techniques. For the estimation, provincial electricity theft and socio-economic data for the period of 2002–2010 are employed. In Turkey, electricity theft leads to loss of substantial amount of dollars annually. This is a primary and thorough study in literature that aims to help prevent electricity theft in Turkey by determining the underlying socio-economic drives. Income, social capital, rural population rate, temperature index, Southeastern Anatolian Region dummy, and agricultural production rate were identified as significant determinants of electricity theft. Certain policy advice is also provided based on the findings.

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  • Yurtseven, Çağlar, 2015. "The causes of electricity theft: An econometric analysis of the case of Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 70-78.
    • Handle: RePEc:eee:juipol:v:37:y:2015:i:c:p:70-78
    DOI: 10.1016/j.jup.2015.06.008
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    Cited by:

    1. Grazia Giacovelli, 2022. "Social Capital and Energy Transition: A Conceptual Review," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    2. Hugo Brise o & Omar Rojas, 2020. "Factors Associated with Electricity Theft in Mexico," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 250-254.
    3. Arkorful, Vincent Ekow, 2022. "Unravelling electricity theft whistleblowing antecedents using the theory of planned behavior and norm activation model," Energy Policy, Elsevier, vol. 160(C).
    4. Savian, Fernando de Souza & Siluk, Julio Cezar Mairesse & Garlet, Taís Bisognin & do Nascimento, Felipe Moraes & Pinheiro, José Renes & Vale, Zita, 2021. "Non-technical losses: A systematic contemporary article review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    5. Babar, Zainab & Jamil, Faisal & Haq, Wajiha, 2022. "Consumer's perception towards electricity theft: A case study of Islamabad and Rawalpindi using a path analysis," Energy Policy, Elsevier, vol. 169(C).
    6. Farah Mohammad & Kashif Saleem & Jalal Al-Muhtadi, 2023. "Ensemble-Learning-Based Decision Support System for Energy-Theft Detection in Smart-Grid Environment," Energies, MDPI, vol. 16(4), pages 1-16, February.
    7. Jamil, Faisal & Ahmad, Eatzaz, 2019. "Policy considerations for limiting electricity theft in the developing countries," Energy Policy, Elsevier, vol. 129(C), pages 452-458.
    8. Nadeem, Ahmad & Arshad, Naveed, 2021. "A data-driven approach to reduce electricity theft in developing countries," Utilities Policy, Elsevier, vol. 73(C).
    9. Daniel Leite & José Pessanha & Paulo Simões & Rodrigo Calili & Reinaldo Souza, 2020. "A Stochastic Frontier Model for Definition of Non-Technical Loss Targets," Energies, MDPI, vol. 13(12), pages 1-20, June.
    10. Hugo Brise o & Omar Rojas, 2020. "Factors Associated with Electricity Losses: A Panel Data Perspective," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 281-286.
    11. Yakubu, Osman & Babu C., Narendra & Adjei, Osei, 2018. "Electricity theft: Analysis of the underlying contributory factors in Ghana," Energy Policy, Elsevier, vol. 123(C), pages 611-618.
    12. Martin Besfamille & Nicolás Figueroa & León Guzmán, 2023. "Ramsey pricing revisited: Natural monopoly regulation with evaders," Documentos de Trabajo 576, Instituto de Economia. Pontificia Universidad Católica de Chile..
    13. Çetinkaya, Murat & Başaran, Alparslan A. & Bağdadioğlu, Necmiddin, 2015. "Electricity reform, tariff and household elasticity in Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 79-85.
    14. Stracqualursi, Erika & Rosato, Antonello & Di Lorenzo, Gianfranco & Panella, Massimo & Araneo, Rodolfo, 2023. "Systematic review of energy theft practices and autonomous detection through artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    15. Das, Anupam & McFarlane, Adian, 2019. "Non-linear dynamics of electric power losses, electricity consumption, and GDP in Jamaica," Energy Economics, Elsevier, vol. 84(C).
    16. Hugo Brise o & Jessica Rubiano & Rodolfo Garc a & Omar Rojas, 2021. "Factors Associated with Electricity Losses in Colombia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 465-470.
    17. Fernando G. K. Guarda & Bruno K. Hammerschmitt & Marcelo B. Capeletti & Nelson K. Neto & Laura L. C. dos Santos & Lucio R. Prade & Alzenira Abaide, 2023. "Non-Hardware-Based Non-Technical Losses Detection Methods: A Review," Energies, MDPI, vol. 16(4), pages 1-27, February.
    18. Marcelo Bruno Capeletti & Bruno Knevitz Hammerschmitt & Renato Grethe Negri & Fernando Guilherme Kaehler Guarda & Lucio Rene Prade & Nelson Knak Neto & Alzenira da Rosa Abaide, 2022. "Identification of Nontechnical Losses in Distribution Systems Adding Exogenous Data and Artificial Intelligence," Energies, MDPI, vol. 15(23), pages 1-23, November.
    19. Tugba Somuncu & Christopher Hannum, 2018. "The Rebound Effect of Energy Efficiency Policy in the Presence of Energy Theft," Energies, MDPI, vol. 11(12), pages 1-28, December.
    20. KOMATSU Sho & MA Xinxin & SUZUKI Aya, 2022. "Influence of E-commerce on Birth Rate: Evidence from rural China based on county-level longitudinal data," Discussion papers 22101, Research Institute of Economy, Trade and Industry (RIETI).
    21. Muhammad Salman Saeed & Mohd Wazir Mustafa & Nawaf N. Hamadneh & Nawa A. Alshammari & Usman Ullah Sheikh & Touqeer Ahmed Jumani & Saifulnizam Bin Abd Khalid & Ilyas Khan, 2020. "Detection of Non-Technical Losses in Power Utilities—A Comprehensive Systematic Review," Energies, MDPI, vol. 13(18), pages 1-25, September.
    22. Wabukala, Benard M. & Mukisa, Nicholas & Watundu, Susan & Bergland, Olvar & Rudaheranwa, Nichodemus & Adaramola, Muyiwa S., 2023. "Impact of household electricity theft and unaffordability on electricity security: A case of Uganda," Energy Policy, Elsevier, vol. 173(C).
    23. Viegas, Joaquim L. & Esteves, Paulo R. & Melício, R. & Mendes, V.M.F. & Vieira, Susana M., 2017. "Solutions for detection of non-technical losses in the electricity grid: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1256-1268.

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