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Commercial Energy Demand Forecasting in Bangladesh

Author

Listed:
  • Asif Reza Anik

    (Department of Agricultural Economics, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Salna, Gazipur 1706, Bangladesh)

  • Sanzidur Rahman

    (Faculty of Economics, Shandong University of Finance and Economics, Jinan 250001, China
    Plymouth Business School, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK)

Abstract

Although both aggregate and per capita energy consumption in Bangladesh is increasing rapidly, its per capita consumption is still one of the lowest in the world. Bangladesh gradually shifted from petroleum-based energy to domestically sourced natural-gas-based energy sources, which are predicted to run out within next two decades. The present study first identified the determinants of aggregate commercial energy and its three major components of oil, natural gas, and coal demand for Bangladesh using a simultaneous equations framework on an annual database covering a period of 47 years (1972–2018). Next, the study forecast future demand for aggregate commercial energy and its three major components for the period of 2019–2038 under the business-as-usual and ongoing COVID-19 pandemic scenarios with some assumptions. As part of a sensitivity analysis, based on past trends, we also hypothesized four alternative GDP and population growth scenarios and forecast corresponding changes in total energy demand forecast. The results revealed that while GDP and lagged energy demand are the major drivers of energy demand in the country, we did not see strong effects of own- and cross-price elasticities of energy sources, which we attributed to three reasons: subsidized low energy prices, time and cost required to switch between different energy-mix technologies, and suppressed energy demand. The aggregate energy demand is expected to increase by 400% by the end of the forecasting period in 2038 from its existing level in 2018 under the business-as-usual scenario, whereas the effect of COVID-19 could suppress it down to 300%. Under the business-as-usual scenario, the highest increase will occur for coal (3.94-fold), followed by gas (2.64-fold) and oil (2.37-fold). The COVID-19 pandemic will suppress the future demand of all energy sources at variable rates. The ex ante forecasting errors were small, varying within the range of 3.6–3.7% of forecast values. Sensitivity analysis of changes in GDP and population growth rates showed that forecast total energy demand will increase gradually from 3.58% in 2019 to 8.79% by 2038 from original forecast values. Policy recommendations include capacity building of commercial energy sources while ensuring the safety and sustainability of newly proposed coal and nuclear power installations, removing inefficiency of production and distribution of energy and its services, shifting towards renewable and green energy sources (e.g., solar power), and redesigning subsidy policies with market-based approaches.

Suggested Citation

  • Asif Reza Anik & Sanzidur Rahman, 2021. "Commercial Energy Demand Forecasting in Bangladesh," Energies, MDPI, vol. 14(19), pages 1-22, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6394-:d:650829
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    References listed on IDEAS

    as
    1. Shiu, Alice & Lam, Pun-Lee, 2004. "Electricity consumption and economic growth in China," Energy Policy, Elsevier, vol. 32(1), pages 47-54, January.
    2. Arthur van Benthem & Mattia Romani, 2009. "Fuelling Growth: What Drives Energy Demand in Developing Countries?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 91-114.
    3. Gwo-Hshiung Tzeng, 1989. "Modeling Energy Demand and Socioeconomic Development Of Taiwan," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 133-152.
    4. Gunatilake, Herath & Roland-Holst, David, 2013. "Energy Policy Options for Sustainable Development in Bangladesh," ADB Economics Working Paper Series 359, Asian Development Bank.
    5. Kibria, Ahsan & Akhundjanov, Sherzod B. & Oladi, Reza, 2019. "Fossil fuel share in the energy mix and economic growth," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 253-264.
    6. Venus Khim-Sen Liew, 2004. "Which Lag Length Selection Criteria Should We Employ?," Economics Bulletin, AccessEcon, vol. 3(33), pages 1-9.
    7. Chen, Sheng-Tung & Kuo, Hsiao-I & Chen, Chi-Chung, 2007. "The relationship between GDP and electricity consumption in 10 Asian countries," Energy Policy, Elsevier, vol. 35(4), pages 2611-2621, April.
    8. Daniel J. Graham & Stephen Glaister, 2002. "The Demand for Automobile Fuel: A Survey of Elasticities," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 1-25, January.
    9. Awerbuch, Shimon & Sauter, Raphael, 2006. "Exploiting the oil-GDP effect to support renewables deployment," Energy Policy, Elsevier, vol. 34(17), pages 2805-2819, November.
    10. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    11. Wadud, Zia & Dey, Himadri S. & Kabir, Md. Ashfanoor & Khan, Shahidul I., 2011. "Modeling and forecasting natural gas demand in Bangladesh," Energy Policy, Elsevier, vol. 39(11), pages 7372-7380.
    12. Timilsina,Govinda R. & Pargal,Sheoli & Tsigas,Marinos E. & Sahin,Sebnem, 2018. "How Much Would Bangladesh Gain from the Removal of Subsidies on Electricity and Natural Gas ?," Policy Research Working Paper Series 8677, The World Bank.
    13. Mondal, Md. Alam Hossain & Boie, Wulf & Denich, Manfred, 2010. "Future demand scenarios of Bangladesh power sector," Energy Policy, Elsevier, vol. 38(11), pages 7416-7426, November.
    14. Regnier, Eva, 2007. "Oil and energy price volatility," Energy Economics, Elsevier, vol. 29(3), pages 405-427, May.
    15. Dermot Gately & Hiliard G. Huntington, 2002. "The Asymmetric Effects of Changes in Price and Income on Energy and Oil Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 19-55.
    16. Rahman, Sanzidur, 1998. "Energy Demand Perspectives In Bangladesh: 1992/93-2019/20 Ad," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 21(1-2), pages 1-19, December.
    17. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    18. Mozumder, Pallab & Marathe, Achla, 2007. "Causality relationship between electricity consumption and GDP in Bangladesh," Energy Policy, Elsevier, vol. 35(1), pages 395-402, January.
    19. Soytas, Ugur & Sari, Ramazan, 2003. "Energy consumption and GDP: causality relationship in G-7 countries and emerging markets," Energy Economics, Elsevier, vol. 25(1), pages 33-37, January.
    20. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr.
    21. Ghosh, Sajal, 2002. "Electricity consumption and economic growth in India," Energy Policy, Elsevier, vol. 30(2), pages 125-129, January.
    22. Chien-Chiang Lee & Jun-De Lee, 2010. "A Panel Data Analysis of the Demand for Total Energy and Electricity in OECD Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-24.
    23. Vu, D.H. & Muttaqi, K.M. & Agalgaonkar, A.P., 2015. "A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables," Applied Energy, Elsevier, vol. 140(C), pages 385-394.
    24. Paul, Biru Paksha & Uddin, Gazi Salah, 2011. "Energy and output dynamics in Bangladesh," Energy Economics, Elsevier, vol. 33(3), pages 480-487, May.
    25. Zia Wadud & Daniel J. Graham & Robert B. Noland, 2010. "Gasoline Demand with Heterogeneity in Household Responses," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 47-74.
    26. Karin Kandananond, 2011. "Forecasting Electricity Demand in Thailand with an Artificial Neural Network Approach," Energies, MDPI, vol. 4(8), pages 1-12, August.
    27. Das, Anupam & McFarlane, Adian A. & Chowdhury, Murshed, 2013. "The dynamics of natural gas consumption and GDP in Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 269-274.
    28. Ibrahim, Ibrahim B. & Hurst, Christopher, 1990. "Estimating energy and oil demand functions : A study of thirteen developing countries," Energy Economics, Elsevier, vol. 12(2), pages 93-102, April.
    29. Morimoto, Risako & Hope, Chris, 2004. "The impact of electricity supply on economic growth in Sri Lanka," Energy Economics, Elsevier, vol. 26(1), pages 77-85, January.
    30. Webster, Mort & Paltsev, Sergey & Reilly, John, 2008. "Autonomous efficiency improvement or income elasticity of energy demand: Does it matter?," Energy Economics, Elsevier, vol. 30(6), pages 2785-2798, November.
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