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Dijitalleşmeyle Genişletilmiş Enerji Yoksulluğu (DEEP): Yoksulluk Ölçümünün Sınırlarını Genişletmek

Year 2026, Volume: 10 Issue: 1, 383 - 398, 26.03.2026
https://doi.org/10.30586/pek.1779461
https://izlik.org/JA42PY83GT

Abstract

Bu makale, dijital hizmetlere yönelik hane halkı harcamalarını da dahil ederek enerji yoksulluğunun geleneksel tanımlarını genişleten, Dijitalleşme ile Genişletilmiş Enerji Yoksulluğu (DEEP) adlı yeni bir ölçüt sunmaktadır. Türkiye için 2023 Hanehalkı Bütçe Anketi verileri kullanılarak geleneksel yoksulluk oranları yeniden hesaplanmıştır. Sonuçlar, dijital harcamaların yoksulluk oranını önemli ölçüde artırdığını göstermektedir. Mutlak dijital yoksulluk çok düşükken, göreceli ölçütler %13,7'lik bir yaygınlık ortaya koymakta ve DEEP, eşik değerine bağlı olarak %12 ile %23,6 arasında değişmektedir. DEEP gelir dilimleri arasında önemli ölçüde farklılık gösterirken, eğitim ise kırılganlığı büyük ölçüde azaltmaktadır. Öte yandan bulgular, 2019 yılına kadar enerji yoksulluğunun DEEP'in ana itici gücü olduğunu, COVID-19 pandemisinden bu yana ise artan dijital maliyetlerin giderek daha fazla katkı sağladığını göstermektedir. Sonuçlara göre, dijital hizmetler artık yeni nesil temel malları oluşturmakta ve enerji ile dijital yoksunluğun birlikte ele alınması gerekmektedir. Çalışmada önerilen dijitalleşme ile genişletilmiş enerji yoksulluğu ölçütünün, çok boyutlu yoksulluğu daha doğru bir şekilde açıkladığı görülmektedir.

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Digital Extended Energy Poverty (DEEP): Expanding the Boundaries of Poverty Measurement

Year 2026, Volume: 10 Issue: 1, 383 - 398, 26.03.2026
https://doi.org/10.30586/pek.1779461
https://izlik.org/JA42PY83GT

Abstract

This paper introduces a novel measure of Digitally Enhanced Energy Poverty (DEEP), which extends conventional definitions of energy poverty by incorporating household expenditures on digital services. The study recalculates conventional poverty ratios by using 2023 Household Budget Survey data for Türkiye. The results show that digital expenditures significantly raise poverty rates. While absolute digital poverty remains almost invisible, relative measures reveal a prevalence of 13.7 percent, and DEEP ranges from 12 to 23.6 percent depending on the threshold. Distributional analysis indicates a steep income gradient, while education strongly mitigates vulnerability. Time trends further reveal that energy poverty was the main driver of DEEP until 2019, whereas rising digital costs have increasingly contributed since the COVID-19 pandemic. The findings highlight that digital services now constitute a new generation of essential goods and that energy and digital deprivation must be addressed jointly. The paper concludes that DEEP provides a more accurate account of multidimensional poverty.

References

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  • Al Kez, D., Foley, A., Lowans, C., & Del Rio, D. F. (2024). Energy poverty assessment: Indicators and implications for developing and developed countries. Energy Conversion and Management, 307, 118324. https://doi.org/10.1016/j.enconman.2024.118324
  • Archer, A., & Wildman, N. (2020). Internet Access as an Essential Social Good. In E. Aarts, H. Fleuren, M. Sitskoorn, & T. Wilthagen (Eds.), The New Common: How the COVID-19 Pandemic is Transforming Society; Open Press Tilburg University, 2020. https://digi-courses.com/openpresstiu-the-new-common/
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  • Bağdadioğlu, N., Başaran, A., Kalaycıoğlu, S., & Pınar, A., (2009). Kamu Kolaylıkları Yönetişiminde Yoksulluğun Dikkate Alınması; Ankara: Birleşmiş Milletler Kalkınma Programı, Hacettepe Üniversitesi Piyasa Ekonomisini ve Girişimciliği Geliştirme Merkezi, Sözkesen Matbaacılık, 2009.
  • Bajpayee, P. M., & Mohanty, P. C. (2025). Does Revisiting Multidimensional Energy Poverty Measurement Index Address Universal Energy Access?. Energy Research Letters, 6(2025). https://doi.org/10.46557/001c.127523
  • Banerjee, R., V. Mishra, and A. A. Maruta. 2021. Energy Poverty, Health and Education Outcomes: Evidence from the Developing World. Energy Economics, 101(2021). https://doi:10.1016/j.eneco.2021.105447.
  • Barnes, D. F., Khandker, S. R., & Samad, H. A. (2011). Energy poverty in rural Bangladesh. Energy Policy, 39(2), 894-904. https://doi.org/10.1016/j.enpol.2010.11.014
  • Barrantes, R., 2007. Analysis of ICT demand: what is and how to measure digital poverty?. In: Digital Poverty. Practical Action, Rugby, pp. 29–53, 2007. https://doi.org/10.3362/9781780441115.0
  • Berry, C., Hronis, C., & Woodward, M. (2018). One in three US households faces a challenge in meeting energy needs. https://www.eia.gov/todayinenergy/detail.php?id=37072#:~:text=...%20www.eia.gov%20%20Nearly%20one,in%20their%20homes%20in%202015
  • Boardman, B. (1991). Fuel poverty is different. Policy Studies, 12(4), 30-41.
  • Bölük, G., Özdamar, O., & Sipahi, B. B. (2024). Do Poverty and Health Status Determine Energy Demand? Logit Model Estimates Using Household Budget Survey in Türkiye. Available at SSRN: https://ssrn.com/abstract=5025783
  • Bouzarovski, S. (2014). Energy poverty in the European Union: landscapes of vulnerability. Wiley Interdisciplinary Reviews: Energy and Environment, 3(3), 276-289. https://doi.org/10.1002/wene.89
  • Bouzarovski, S., & Petrova, S. (2015). A global perspective on domestic energy deprivation: Overcoming the energy poverty–fuel poverty binary. Energy Research & Social Science, 10(2015), 31-40. https://doi.org/10.1016/j.erss.2015.06.007
  • Brown, H., & Vera-Toscano, E. (2021). Energy poverty and its relationship with health: empirical evidence on the dynamics of energy poverty and poor health in Australia. SN Business & Economics, 1(10), 139. https://doi.org/ 10.1007/s43546-021-00149-3
  • Chan, C., & Delina, L. L. (2023). Energy poverty and beyond: The state, contexts, and trajectories of energy poverty studies in Asia. Energy Research & Social Sciences, 102(2023). https://doi.org/10.1016/j.erss.2023.103168
  • Charlier, D., & Kahouli, S. (2019). From residential energy demand to fuel poverty: income-induced non-linearities in the reactions of households to energy price fluctuations. The Energy Journal, 40(2), 101-138. https://doi.org/10.5547/01956574.40.2.dcha
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Details

Primary Language English
Subjects Microeconomics (Other)
Journal Section Research Article
Authors

Gamze Kargın Akkoç 0000-0002-8436-0462

Submission Date September 11, 2025
Acceptance Date March 18, 2026
Publication Date March 26, 2026
DOI https://doi.org/10.30586/pek.1779461
IZ https://izlik.org/JA42PY83GT
Published in Issue Year 2026 Volume: 10 Issue: 1

Cite

APA Kargın Akkoç, G. (2026). Digital Extended Energy Poverty (DEEP): Expanding the Boundaries of Poverty Measurement. Politik Ekonomik Kuram, 10(1), 383-398. https://doi.org/10.30586/pek.1779461

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