IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/81553.html
   My bibliography  Save this paper

Accounting for the effect of exogenous non-Economic variables on natural gas demand in oil producing African countries

Author

Listed:
  • Ackah, Ishmael

Abstract

With less than 50% of the population of Sub-Saharan Africa having access to modern forms of energy and the desire to minimize the impact of energy consumption on the environment, there is a need to invest in an energy source that is affordable, available and environmentally clean. Natural gas is therefore the preferred choice of energy since it has minimum impact on the environment among the fossil fuels and is relatively affordable. In this study, the generalized methods of moments (GMM), a dynamic panel two stage least squares and the general unrestricted model (GUM) through AutometricsTM are employed to estimate the demand for natural gas in oil producing African countries. The GUM suggests that oil producing African countries have been consuming excessive natural gas that seems to offset improved technical efficiency of appliances. The study finds that both economic and technical factors are important drivers of natural gas consumption. In particular, output exerts a positive and significant influence on natural gas demand, whereas energy price and energy resource depletion have a negative and significant effect. It is recommended that energy efficiency measures should be implemented in these countries.

Suggested Citation

  • Ackah, Ishmael, 2015. "Accounting for the effect of exogenous non-Economic variables on natural gas demand in oil producing African countries," MPRA Paper 81553, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:81553
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/81553/1/MPRA_paper_81553.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khan, Muhammad Arshad, 2015. "Modelling and forecasting the demand for natural gas in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1145-1159.
    2. Javier Estrada & Ole Fugleberg, 1989. "Price Elasticities of Natural Gas Demand in France and West Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 77-90.
    3. Andersen, Trude Berg & Nilsen, Odd Bjarte & Tveteras, Ragnar, 2011. "How is demand for natural gas determined across European industrial sectors?," Energy Policy, Elsevier, vol. 39(9), pages 5499-5508, September.
    4. Liu, Ben-chieh, 1983. "Natural gas price elasticities : Variations by region and by sector in the USA," Energy Economics, Elsevier, vol. 5(3), pages 195-201, July.
    5. Shahbaz, Muhammad & Lean, Hooi Hooi & Farooq, Abdul, 2013. "Natural gas consumption and economic growth in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 87-94.
    6. Lester C. Hunt & Guy Judge & Yasushi Ninomiya, 2003. "Modelling underlying energy demand trends," Chapters, in: Lester C. Hunt (ed.), Energy in a Competitive Market, chapter 9, Edward Elgar Publishing.
    7. 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.
    8. Cleveland, Cutler J. & Kaufmann, Robert K. & Stern, David I., 2000. "Aggregation and the role of energy in the economy," Ecological Economics, Elsevier, vol. 32(2), pages 301-317, February.
    9. Erdogdu, Erkan, 2010. "Natural gas demand in Turkey," Applied Energy, Elsevier, vol. 87(1), pages 211-219, January.
    10. Ishmael Ackah, 2014. "Determinants of natural gas demand in Ghana," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 38(3), pages 272-295, September.
    11. David F. Hendry & Hans-Martin Krolzig, 2005. "The Properties of Automatic "GETS" Modelling," Economic Journal, Royal Economic Society, vol. 115(502), pages 32-61, March.
    12. Ayres, Robert U. & Turton, Hal & Casten, Tom, 2007. "Energy efficiency, sustainability and economic growth," Energy, Elsevier, vol. 32(5), pages 634-648.
    13. Broadstock, David C. & Hunt, Lester C., 2010. "Quantifying the impact of exogenous non-economic factors on UK transport oil demand," Energy Policy, Elsevier, vol. 38(3), pages 1559-1565, March.
    14. Bera, Anil K. & Jarque, Carlos M., 1982. "Model specification tests : A simultaneous approach," Journal of Econometrics, Elsevier, vol. 20(1), pages 59-82, October.
    15. Apergis, Nicholas & Payne, James E., 2010. "Coal consumption and economic growth: Evidence from a panel of OECD countries," Energy Policy, Elsevier, vol. 38(3), pages 1353-1359, March.
    16. Omri, Anis & Nguyen, Duc Khuong & Rault, Christophe, 2014. "Causal interactions between CO2 emissions, FDI, and economic growth: Evidence from dynamic simultaneous-equation models," Economic Modelling, Elsevier, vol. 42(C), pages 382-389.
    17. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    18. repec:ipg:wpaper:2014-542 is not listed on IDEAS
    19. Mahadevan, Renuka & Asafu-Adjaye, John, 2007. "Energy consumption, economic growth and prices: A reassessment using panel VECM for developed and developing countries," Energy Policy, Elsevier, vol. 35(4), pages 2481-2490, April.
    20. 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.
    21. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    22. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    23. 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.
    24. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    25. Apergis, Nicholas & Payne, James E., 2010. "Renewable energy consumption and economic growth: Evidence from a panel of OECD countries," Energy Policy, Elsevier, vol. 38(1), pages 656-660, January.
    26. Özge Dilaver & Zafer Dilaver & Lester C Hunt, 2013. "What Drives Natural Gas Consumption in Europe? Analysis and Projections," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 143, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    27. Bernstein, Ronald & Madlener, Reinhard, 2011. "Residential Natural Gas Demand Elasticities in OECD Countries: An ARDL Bounds Testing Approach," FCN Working Papers 15/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    28. Jeffrey M. Wooldridge, 2001. "Applications of Generalized Method of Moments Estimation," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 87-100, Fall.
    29. Lester C. Hunt (ed.), 2003. "Energy in a Competitive Market," Books, Edward Elgar Publishing, number 2519.
    30. Bianco, Vincenzo & Scarpa, Federico & Tagliafico, Luca A., 2014. "Scenario analysis of nonresidential natural gas consumption in Italy," Applied Energy, Elsevier, vol. 113(C), pages 392-403.
    31. 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.
    32. 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.
    33. Bhattacharyya, Subhes C. & Timilsina, Govinda R., 2009. "Energy demand models for policy formulation : a comparative study of energy demand models," Policy Research Working Paper Series 4866, The World Bank.
    34. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    35. Soldo, Božidar, 2012. "Forecasting natural gas consumption," Applied Energy, Elsevier, vol. 92(C), pages 26-37.
    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. Ishmael Ackah & Mcomari Asomani, 2015. "Empirical Analysis of Renewable Energy Demand in Ghana with Autometrics," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 754-758.
    2. 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.
    3. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    4. Jean Gaston Tamba & Salom Ndjakomo Essiane & Emmanuel Flavian Sapnken & Francis Djanna Koffi & Jean Luc Nsouand l & Bozidar Soldo & Donatien Njomo, 2018. "Forecasting Natural Gas: A Literature Survey," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 216-249.
    5. Raymond Li & Chi-Keung Woo & Asher Tishler & Jay Zarnikau, 2022. "Price Responsiveness of Residential Demand for Natural Gas in the United States," Energies, MDPI, vol. 15(12), pages 1-22, June.
    6. Asif Reza Anik & Sanzidur Rahman, 2021. "Commercial Energy Demand Forecasting in Bangladesh," Energies, MDPI, vol. 14(19), pages 1-22, October.
    7. Ackah, Ishmael, 2017. "Analysis OF Energy Efficiency Practices of SMEs in Ghana: An application of Product Generational Dematerialisation," MPRA Paper 77484, University Library of Munich, Germany.
    8. Copiello, Sergio & Grillenzoni, Carlo, 2017. "Is the cold the only reason why we heat our homes? Empirical evidence from spatial series data," Applied Energy, Elsevier, vol. 193(C), pages 491-506.
    9. Ackah, Ishmael & Kizys, Renatas, 2015. "Green growth in oil producing African countries: A panel data analysis of renewable energy demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1157-1166.
    10. Javid, Muhammad & Khan, Farzana Naheed & Arif, Umaima, 2022. "Income and price elasticities of natural gas demand in Pakistan: A disaggregated analysis," Energy Economics, Elsevier, vol. 113(C).
    11. Atalla, Tarek N. & Hunt, Lester C., 2016. "Modelling residential electricity demand in the GCC countries," Energy Economics, Elsevier, vol. 59(C), pages 149-158.
    12. Ravnik, J. & Hriberšek, M., 2019. "A method for natural gas forecasting and preliminary allocation based on unique standard natural gas consumption profiles," Energy, Elsevier, vol. 180(C), pages 149-162.
    13. Amri, Fethi, 2016. "The relationship amongst energy consumption, foreign direct investment and output in developed and developing Countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 694-702.
    14. Omri, Anis & Kahouli, Bassem, 2014. "Causal relationships between energy consumption, foreign direct investment and economic growth: Fresh evidence from dynamic simultaneous-equations models," Energy Policy, Elsevier, vol. 67(C), pages 913-922.
    15. Caraiani, Chirața & Lungu, Camelia I. & Dascălu, Cornelia, 2015. "Energy consumption and GDP causality: A three-step analysis for emerging European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 198-210.
    16. Taeyoung Jin & Jinsoo Kim, 2018. "Coal Consumption and Economic Growth: Panel Cointegration and Causality Evidence from OECD and Non-OECD Countries," Sustainability, MDPI, vol. 10(3), pages 1-15, March.
    17. Olaniyan, Monisola J. & Evans, Joanne, 2014. "The importance of engaging residential energy customers' hearts and minds," Energy Policy, Elsevier, vol. 69(C), pages 273-284.
    18. Atalla, Tarek N. & Gasim, Anwar A. & Hunt, Lester C., 2018. "Gasoline demand, pricing policy, and social welfare in Saudi Arabia: A quantitative analysis," Energy Policy, Elsevier, vol. 114(C), pages 123-133.
    19. Kais Saidi & Sami Hammami, 2016. "Economic growth, energy consumption and carbone dioxide emissions: recent evidence from panel data analysis for 58 countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(1), pages 361-383, January.
    20. Jens Ewald & Thomas Sterner & Eoin Ó Broin & Érika Mata, 2021. "Saving energy in residential buildings: the role of energy pricing," Climatic Change, Springer, vol. 167(1), pages 1-20, July.

    More about this item

    Keywords

    Natural gas demand; Energy; Autometrics; Oil producing African countries; Fossil fuels;
    All these keywords.

    JEL classification:

    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • Q39 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Other
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:81553. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.