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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
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    References listed on IDEAS

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    1. 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.
    2. Pachauri, Shonali & Spreng, Daniel, 2011. "Measuring and monitoring energy poverty," Energy Policy, Elsevier, vol. 39(12), pages 7497-7504.
    3. 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).
    4. 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.
    5. 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.
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    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

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