IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v133y2019ics0301421519304641.html
   My bibliography  Save this article

Understanding multidimensional energy poverty in the Philippines

Author

Listed:
  • Mendoza, Celedonio B.
  • Cayonte, Dwane Darcy D.
  • Leabres, Michael S.
  • Manaligod, Lana Rose A.

Abstract

This paper attempted to calculate a composite index that would represent the magnitude of incidence and intensity of multidimensional household energy poverty (MEPI) in the Philippines using seven indicators of energy deprivation to analyse 17 regions and 81 provinces. Generally, the MEPI scores of regions from 2011 to 2016 revealed that the proportion of the multidimensional energy poor across all regions improved. Moreover, the study systematically put together a composite index that aims to capture the multidimensional aspects of household energy poverty. It consciously avoided a uni-dimensional stance in measuring energy poverty. Among the seven indicators, access to communication and education related appliances consistently had the highest incidence of deprivation among households across all regions at 90.4 percent. Conversely, a Filipino household is identified as multidimensional energy poor if it is deprived in at least the equivalent of 50 percent of the weighted seven indicators to be considered multidimensional poor. On the average, households in the Philippines are experiencing lower moderate energy poverty. Among the regions, Luzon (except MIMAROPA and Bicol) experienced low energy poverty levels. The energy-poorest regions are ARMM and Region IX (Zamboanga Peninsula). The statistical result suggests the association of MEPI and income poverty incidence points out a high correlation. In conclusion, an increase in poverty incidence would lead to a more multidimensionally deprived household. The correlation outcome validates that a significant relationship exists between MEPI and income poverty.

Suggested Citation

  • Mendoza, Celedonio B. & Cayonte, Dwane Darcy D. & Leabres, Michael S. & Manaligod, Lana Rose A., 2019. "Understanding multidimensional energy poverty in the Philippines," Energy Policy, Elsevier, vol. 133(C).
  • Handle: RePEc:eee:enepol:v:133:y:2019:i:c:s0301421519304641
    DOI: 10.1016/j.enpol.2019.110886
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421519304641
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2019.110886?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Patrick Nussbaumer & Francesco Fuso Nerini & Ijeoma Onyeji & Mark Howells, 2013. "Global Insights Based on the Multidimensional Energy Poverty Index (MEPI)," Sustainability, MDPI, vol. 5(5), pages 1-17, May.
    2. Patrick Nussbaumer & Morgan Bazilian & Vijay Modi & Kandeh K. Yumkella, 2011. "Measuring Energy Poverty: Focusing on What Matters," OPHI Working Papers 42, Queen Elizabeth House, University of Oxford.
    3. Pachauri, Shonali & Spreng, Daniel, 2011. "Measuring and monitoring energy poverty," Energy Policy, Elsevier, vol. 39(12), pages 7497-7504.
    4. Alexandru Maxim & Costică Mihai & Constantin-Marius Apostoaie & Cristian Popescu & Costel Istrate & Ionel Bostan, 2016. "Implications and Measurement of Energy Poverty across the European Union," Sustainability, MDPI, vol. 8(5), pages 1-20, May.
    5. Mirza, Bilal & Szirmai, Adam, 2010. "Towards a new measurement of energy poverty: A cross-community analysis of rural Pakistan," MERIT Working Papers 2010-024, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Laldjebaev, Murodbek & Hussain, Azmat, 2021. "Significance of context, metrics and datasets in assessment of multidimensional energy poverty: A case study of Tajikistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    2. Quishpe Sinailin Pablo & Taltavull de La Paz Paloma & Juárez Tárraga Francisco, 2019. "Energy Poverty in Ecuador," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
    3. Muhammad Sharif & Farzana Naheed Khan, 2023. "Unveiling the Implications of Energy Poverty for Educational Attainments in Pakistan: A Multidimensional Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 472-483, September.
    4. Igawa, Moegi & Managi, Shunsuke, 2022. "Energy poverty and income inequality: An economic analysis of 37 countries," Applied Energy, Elsevier, vol. 306(PB).
    5. Chakravarty, Shoibal & Tavoni, Massimo, 2013. "Energy poverty alleviation and climate change mitigation: Is there a trade off?," Energy Economics, Elsevier, vol. 40(S1), pages 67-73.
    6. Qurat-ul-Ann, Abre-Rehmat & Mirza, Faisal Mehmood, 2020. "Meta-analysis of empirical evidence on energy poverty: The case of developing economies," Energy Policy, Elsevier, vol. 141(C).
    7. Ma, Cong & Cheok, Mui Yee, 2022. "The impact of financing role and organizational culture in small and medium enterprises: Developing business strategies for economic recovery," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 26-38.
    8. Uche M. Ozughalu & Fidelis O. Ogwumike, 2019. "Extreme Energy Poverty Incidence and Determinants in Nigeria: A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 997-1014, April.
    9. Bezerra, Paula & Cruz, Talita & Mazzone, Antonella & Lucena, André F.P. & De Cian, Enrica & Schaeffer, Roberto, 2022. "The multidimensionality of energy poverty in Brazil: A historical analysis," Energy Policy, Elsevier, vol. 171(C).
    10. Abre-Rehmat Qurat-ul-Ann & Faisal Mehmood Mirza, 2021. "Multidimensional Energy Poverty in Pakistan: Empirical Evidence from Household Level Micro Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 211-258, May.
    11. Legendre, Bérangère & Ricci, Olivia, 2015. "Measuring fuel poverty in France: Which households are the most fuel vulnerable?," Energy Economics, Elsevier, vol. 49(C), pages 620-628.
    12. Muhammad Shafiullah & Zhilun Jiao & Muhammad Shahbaz & Kangyin Dong, 2023. "Examining energy poverty in Chinese households: An Engel curve approach," Australian Economic Papers, Wiley Blackwell, vol. 62(1), pages 149-184, March.
    13. Bhanot, Jaya & Jha, Vivek, 2012. "Moving towards tangible decision-making tools for policy makers: Measuring and monitoring energy access provision," Energy Policy, Elsevier, vol. 47(S1), pages 64-70.
    14. Shahzad, Umer & Gupta, Mansi & Sharma, Gagan Deep & Rao, Amar & Chopra, Ritika, 2022. "Resolving energy poverty for social change: Research directions and agenda," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    15. Giorgio Gualberti & Morgan Bazilian & Erik Haites & Maria da Graça Carvalho, 2012. "Development Finance for Universal Energy Access," Working Papers 2012.12, Fondazione Eni Enrico Mattei.
    16. George E. Halkos & Panagiotis-Stavros C. Aslanidis, 2023. "Addressing Multidimensional Energy Poverty Implications on Achieving Sustainable Development," Energies, MDPI, vol. 16(9), pages 1-30, April.
    17. Wang, Ke & Wang, Ya-Xuan & Li, Kang & Wei, Yi-Ming, 2015. "Energy poverty in China: An index based comprehensive evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 308-323.
    18. Pacudan, Romeo & Hamdan, Mahani, 2019. "Electricity tariff reforms, welfare impacts, and energy poverty implications," Energy Policy, Elsevier, vol. 132(C), pages 332-343.
    19. Rehman, I.H. & Kar, Abhishek & Banerjee, Manjushree & Kumar, Preeth & Shardul, Martand & Mohanty, Jeevan & Hossain, Ijaz, 2012. "Understanding the political economy and key drivers of energy access in addressing national energy access priorities and policies," Energy Policy, Elsevier, vol. 47(S1), pages 27-37.
    20. Husnain, Muhammad Iftikhar ul & Nasrullah, Nasrullah & Khan, Muhammad Aamir & Banerjee, Suvajit, 2021. "Scrutiny of income related drivers of energy poverty: A global perspective," Energy Policy, Elsevier, vol. 157(C).

    More about this item

    Keywords

    Multidimensional energy poverty index; Poverty measurement; Energy deprivation; Access to modern energy services; Energy policy; Philippines;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:133:y:2019:i:c:s0301421519304641. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.