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Myanmar Energy Statistics 2019

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  • Ministry of Electricity and Energy of the Union of Myanmar
  • The Economic Research Institute for ASEAN and East Asia

Abstract

Insufficient information and inadequate capacity to carry out comprehensive energy planning are identified as the main contributing factors to the current circumstances of the energy sector in The Republic of the Union of Myanmar. To help overcome these constraints, the Ministry of Electricity and Energy (MEE) requested technical support from the Economic Research Institute for ASEAN and East Asia (ERIA). ERIA’s president responded very positively to Myanmar’s request, and ERIA has deployed technical staff and expertise to support staff of the Oil and Gas Planning Department (OGPD) of the MEE with data collection and analysis for the formulation of this ‘Myanmar Energy Statistics 2019’. This project and publication have greatly enhanced energy policy planning in Myanmar. To ensure the sustainability of the Project, the OGPD will establish a systematic collection of energy data from the electricity sector, Myanmar Oil and Gas Enterprise (MOGE), Myanmar Petrochemical Enterprise, Myanmar Petroleum Products Enterprise, and other related sectors, so energy data and statistics can continue to be published. Having good energy statistics will allow Myanmar to contribute to and share data with ASEAN, International Energy Agency, Joint Organization Data Initiative (JODI), and other international forums and organisations.

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Suggested Citation

  • Ministry of Electricity and Energy of the Union of Myanmar & The Economic Research Institute for ASEAN and East Asia, 2019. "Myanmar Energy Statistics 2019," Books, Economic Research Institute for ASEAN and East Asia (ERIA), number 2019-myanmar-energy-stati, July.
    • Handle: RePEc:era:eriabk:2019-myanmar-energy-statistics
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    Cited by:

    1. Tso, William W. & Demirhan, C. Doga & Heuberger, Clara F. & Powell, Joseph B. & Pistikopoulos, Efstratios N., 2020. "A hierarchical clustering decomposition algorithm for optimizing renewable power systems with storage," Applied Energy, Elsevier, vol. 270(C).
    2. Hanh NGUYEN, 2021. "Expectations versus reality: The well‐being of female migrant workers in garment factories in Myanmar," International Labour Review, International Labour Organization, vol. 160(2), pages 219-242, June.
    3. Cui, Xuezhu & Li, Shaoying & Gao, Feng, 2020. "Examining spatial carbon metabolism: Features, future simulation, and land-based mitigation," Ecological Modelling, Elsevier, vol. 438(C).
    4. Gaya Herrington, 2021. "Update to limits to growth: Comparing the World3 model with empirical data," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 614-626, June.
    5. Neto-Bradley, André Paul & Choudhary, Ruchi & Bazaz, Amir, 2020. "Slipping through the net: Can data science approaches help target clean cooking policy interventions?," Energy Policy, Elsevier, vol. 144(C).

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