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Modelling and forecasting the demand for natural gas in Pakistan

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  • Khan, Muhammad Arshad

Abstract

This study examines both the short and long-term dynamics of natural gas consumption in Pakistan through an econometric model, sector-specific income, price and cross price elasticities of natural gas demand are estimated over the period 1978–2011. The estimated income elasticities indicate that real GDP per capita exerts a larger impact on gas consumption as compared to its price. The price and cross price elasticities are relatively low, indicating consumers׳ indifference in Pakistan towards price escalation. They neither decrease gas consumption nor try to explore less expensive substitutes for natural gas. A validation of the estimated demand equations is performed, showing high degree of accuracy through tracking the historical data. In order to determine the future outlook of natural gas demand, sectoral equations are simulated as baseline. Both moderate and extreme demand scenarios are projected for the period 2012–2020. Ex-post simulation, resulting through baseline scenario, suggests that the power sector is more likely to occupy top position in terms of natural gas consumption. It is expected that the natural gas consumption would reach 734,062 MMCFT by 2020, followed by the transport sector (238,943 MMCFT); industrial sector (541,869 MMCFT); residential sector (304,821 MMCFT) and the commercial sector (72,784 MMCFT). Furthermore, simulation results based on moderate and extreme scenarios reveal that a deliberate increase in natural gas prices reduces per capita natural gas consumption significantly over the forecast time horizon (2012–2020). The findings of this study have significant implications with respect to energy conservation and economic development. Particularly, price and income elasticities have practical relevance for appropriate pricing and income policies. Additionally, forecast results can provide useful support for designing an appropriate infrastructure and investment plan with reference to gas market in future.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:rensus:v:49:y:2015:i:c:p:1145-1159
    DOI: 10.1016/j.rser.2015.04.154
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    as
    1. Muhammad Arshad Khan & Usman Ahmad, 2008. "Energy Demand in Pakistan: A Disaggregate Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 437-455.
    2. Hunt, Lester C. & Judge, Guy & Ninomiya, Yasushi, 2003. "Underlying trends and seasonality in UK energy demand: a sectoral analysis," Energy Economics, Elsevier, vol. 25(1), pages 93-118, January.
    3. Amarawickrama, Himanshu A. & Hunt, Lester C., 2008. "Electricity demand for Sri Lanka: A time series analysis," Energy, Elsevier, vol. 33(5), pages 724-739.
    4. Shi, Jing & Guo, Jinmei & Zheng, Songtao, 2012. "Evaluation of hybrid forecasting approaches for wind speed and power generation time series," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3471-3480.
    5. Mohammed A. Al-Sahlawi, 1989. "The Demand for Natural Gas: A Survey of Price and Income Elasticities," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 77-90.
    6. Ernst R. Berndt & G. Campbell Watkins, 1977. "Demand for Natural Gas: Residential and Commercial Markets in Ontario and British Columbia," Canadian Journal of Economics, Canadian Economics Association, vol. 10(1), pages 97-111, February.
    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. Wang, Ting & Lin, Boqiang, 2014. "China's natural gas consumption and subsidies—From a sector perspective," Energy Policy, Elsevier, vol. 65(C), pages 541-551.
    9. 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.
    10. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    11. van Beeck, N.M.J.P., 1999. "Classification of Energy Models," Other publications TiSEM 6f2cbb5e-2d53-4be6-a4f9-9, Tilburg University, School of Economics and Management.
    12. Li, Junchen & Dong, Xiucheng & Shangguan, Jianxin & Hook, Mikael, 2011. "Forecasting the growth of China’s natural gas consumption," Energy, Elsevier, vol. 36(3), pages 1380-1385.
    13. World Bank, 2003. "The World Bank Annual Report 2003," World Bank Publications - Books, The World Bank Group, number 13930, December.
    14. Maddala, G S, et al, 1997. "Estimation of Short-Run and Long-Run Elasticities of Energy Demand from Panel Data Using Shrinkage Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 90-100, January.
    15. Yu, Yihua & Zheng, Xinye & Han, Yi, 2014. "On the demand for natural gas in urban China," Energy Policy, Elsevier, vol. 70(C), pages 57-63.
    16. Aydin, Gokhan, 2014. "Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 382-389.
    17. repec:pid:wpaper:2012:4 is not listed on IDEAS
    18. Haldenbilen, Soner & Ceylan, Halim, 2005. "Genetic algorithm approach to estimate transport energy demand in Turkey," Energy Policy, Elsevier, vol. 33(1), pages 89-98, January.
    19. Julia Campos & David F. Hendry & Hans‐Martin Krolzig, 2003. "Consistent Model Selection by an Automatic Gets Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 803-819, December.
    20. Nasr, G. E. & Badr, E. A. & Dibeh, G., 2000. "Econometric modeling of electricity consumption in post-war Lebanon," Energy Economics, Elsevier, vol. 22(6), pages 627-640, December.
    21. Afia Malik, 2012. "Power Crisis in Pakistan: A Crisis in Governance?," PIDE Monograph Series 2012:1, Pakistan Institute of Development Economics.
    22. El-Shazly, Alaa, 2013. "Electricity demand analysis and forecasting: A panel cointegration approach," Energy Economics, Elsevier, vol. 40(C), pages 251-258.
    23. Urban, F. & Benders, R.M.J. & Moll, H.C., 2007. "Modelling energy systems for developing countries," Energy Policy, Elsevier, vol. 35(6), pages 3473-3482, June.
    24. Herbert, John H., 1988. "Institutional and economic factors in residential natural gas markets in the Northeastern United States between 1960 and 1984," Energy, Elsevier, vol. 13(3), pages 211-216.
    25. Bloch, Farrell E., 1980. "Residential demand for natural gas," Journal of Urban Economics, Elsevier, vol. 7(3), pages 371-383, May.
    26. Melikoglu, Mehmet, 2013. "Vision 2023: Forecasting Turkey's natural gas demand between 2013 and 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 393-400.
    27. World Bank, 2003. "Pakistan : Oil and Gas Review," World Bank Publications - Reports 14623, The World Bank Group.
    28. Azadeh, A. & Tarverdian, S., 2007. "Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption," Energy Policy, Elsevier, vol. 35(10), pages 5229-5241, October.
    29. Javid, Muhammad & Qayyum, Abdul, 2014. "Electricity consumption-GDP nexus in Pakistan: A structural time series analysis," Energy, Elsevier, vol. 64(C), pages 811-817.
    30. Gail R. Blattenberger & Lester D. Taylor & Robert K.Rennhack, 1983. "Natural Gas Availability and the Residential Demand for Energy," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 23-45.
    31. Jaffery, Syed Husain Imran & Khan, Mushtaq & Ali, Liaqat & Khan, Hassan Abbas & Mufti, Riaz Ahmad & Khan, Ashfaq & Khan, Nawar & Jaffery, Syed M., 2014. "The potential of solar powered transportation and the case for solar powered railway in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 270-276.
    32. Yoo, Seung-Hoon & Lim, Hea-Jin & Kwak, Seung-Jun, 2009. "Estimating the residential demand function for natural gas in Seoul with correction for sample selection bias," Applied Energy, Elsevier, vol. 86(4), pages 460-465, April.
    33. Malik, Sidra Nisar & Sukhera, Osama Rafiq, 2012. "Management of natural gas resources and search for alternative renewable energy resources: A case study of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1282-1290.
    34. Rashid Amjad & Musleh Ud Din & Idrees Khawaja & Nasir Iqbal & Ahmad Waqar Qasim, 2012. "Fiscal Federalism In Pakistan," PIDE Monograph Series 2012:4, Pakistan Institute of Development Economics.
    35. Kumar, Amit & Bhattacharya, S.C & Pham, H.L, 2003. "Greenhouse gas mitigation potential of biomass energy technologies in Vietnam using the long range energy alternative planning system model," Energy, Elsevier, vol. 28(7), pages 627-654.
    36. Parikh, Jyoti & Biswas, C.R. Dutta & Singh, Chandrashekhar & Singh, Vivek, 2009. "Natural Gas requirement by fertilizer sector in India," Energy, Elsevier, vol. 34(8), pages 954-961.
    37. van Beeck, N.M.J.P., 1999. "Classification of Energy Models," Research Memorandum 777, Tilburg University, School of Economics and Management.
    38. 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).
    39. Payne, James E. & Loomis, David G. & Wilson, Renardo, 2011. "Residential Natural Gas Demand in Illinois: Evidence from the ARDL Bounds Testing Approach," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 41(2), pages 1-10.
    40. repec:ags:jrapmc:133220 is not listed on IDEAS
    41. Mahmood, Anzar & Javaid, Nadeem & Zafar, Adnan & Ali Riaz, Raja & Ahmed, Saeed & Razzaq, Sohail, 2014. "Pakistan's overall energy potential assessment, comparison of LNG, TAPI and IPI gas projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 182-193.
    42. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    43. Muhammad Arshad Khan & Musleh ud Din, 2011. "A Dynamic Macroeconometric Model of Pakistan’s Economy," PIDE-Working Papers 2011:69, Pakistan Institute of Development Economics.
    44. Alam Hossain Mondal, Md. & Kamp, Linda M. & Pachova, Nevelina I., 2010. "Drivers, barriers, and strategies for implementation of renewable energy technologies in rural areas in Bangladesh--An innovation system analysis," Energy Policy, Elsevier, vol. 38(8), pages 4626-4634, August.
    45. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "A trigonometric grey prediction approach to forecasting electricity demand," Energy, Elsevier, vol. 31(14), pages 2839-2847.
    46. Murat, Yetis Sazi & Ceylan, Halim, 2006. "Use of artificial neural networks for transport energy demand modeling," Energy Policy, Elsevier, vol. 34(17), pages 3165-3172, November.
    47. World Bank, 2003. "The World Bank Annual Report 2003," World Bank Publications - Books, The World Bank Group, number 13929, December.
    48. Wojciech W. Charemza & Derek F. Deadman, 1992. "New Directions In Econometric Practice," Books, Edward Elgar Publishing, number 84.
    49. 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.
    50. Fleiter, Tobias & Worrell, Ernst & Eichhammer, Wolfgang, 2011. "Barriers to energy efficiency in industrial bottom-up energy demand models--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3099-3111, August.
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