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Structural Decomposition Analysis to Investigate the Changes in Energy Consumption in Pakistan

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Abstract

The world energy demand is increasing due to rapid growth in the global economy, industrialization, and urbanization. Pakistan is also confronted with increasing energy demand on one hand and is confronted with the challenge of energy demand-supply gap on the other hand. Since energy is the major driver for growth, it becomes important to investigate the trends of energy consumption in a country and the factors that are most affecting the changes in the use of energy. This particular study aims to investigate the use of energy by all the economic sectors of Pakistan during 2000–2012. The major contribution is the first time application of structural decomposition analysis (SDA) for energy usage along with using Input-Output data for the period of 2002–2012. The results show the fluctuation of the energy intensity of the sectors throughout the study period. Also, the overall effect of energy intensity is negative on energy consumption and it shows a negative contribution value of −80.90% for the study period. Furthermore, the focus on more energy-intensive products like cement, automobiles, iron, steel products and the increasing final demand of the economy contributes to the growth of energy consumption in Pakistan during 2000–2012.

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References

  1. Hydrocarbon Development Institute of Pakistan, Pakistan energy yearbook 2015, Ministry of Petroleum and Natural Resources, Government of Pakistan, 2015.

  2. Planning Commission of Pakistan, Annual Plan 2014–2015, Government of Pakistan, Ministry of Planning, Development and Reforms, Pakistan, 2014, 119.

    Google Scholar 

  3. UNDP, Sustainable energy for all: Rapid assessment gap analysis Pakistan, Islamabad, Pakistan, UNDP-Government of Pakistan, 2014.

    Google Scholar 

  4. Miller R and Blair P, Input-Output Analysis Foundations and Extensions, Cambridge University Press, Cambridge, 2009.

    MATH  Google Scholar 

  5. Chung W S, Tohno S, and Shim S Y, An estimation of energy and ghg emission intensity caused by energy consumption in Korea: An energy I-O Approach, Applied Energy, 2009, 86(10): 1902–1914.

    Google Scholar 

  6. Chen S and Chen B, Urban energy consumption: Different insights from energy flow analysis, input-output analysis and ecological network analysis, Applied Energy, 2015, 138: 99–107.

    Google Scholar 

  7. Hong J, Shen G Q, Guo S, et al., Energy use embodied in Chinaś construction industry: A multi-regional input-output analysis, Renewable and Sustainable Energy Reviews, 2016, 53: 1303–1312.

    Google Scholar 

  8. Morimoto Y, A note on weighted aggregation in input-output analysis, International Economic Review, 1971, 12(1): 138–143.

    MATH  Google Scholar 

  9. Ang B W, Decomposition analysis for policymaking in energy: Which is the preferred method?, Energy Policy, 2004, 32(9): 1131–1139.

    Google Scholar 

  10. Hoekstra R and Van den Bergh J C, Comparing structural decomposition analysis and index, Energy Economics, 2003, 25(1): 39–64.

    Google Scholar 

  11. Ma C and Stern D I, China’s changing energy intensity trend: A decomposition analysis, Energy Economics, 2008, 30(3): 1037–1053.

    Google Scholar 

  12. Rrmose P, Structural decomposition analysis sense and sensitivity, Paper Prepared for the 19th International Conference on Input-output Techniques 13–17 June 2011 in Alexandria, 2010.

  13. Dietzenbacher E and Los B, Structural decomposition techniques: Sense and sensitivity, Economic Systems Research, 1998, 10(4): 307–324.

    Google Scholar 

  14. Leontief W W, The Structure of American Economy, 1919–1929: An Empirical Application of Equilibrium Analysis, Harvard University Press, Cambridge, MA, 1941.

    Google Scholar 

  15. Carter A P, Structural change in the American economy, Harvard Studies in Technology and Society, Harvard University Press, Cambridge, 1971.

    Google Scholar 

  16. Leontief W W and Ford D, Air Pollution and the Economic Structure: Empirical Results of Input-Output Computations, Harvard University, Cambridge, US, 1971.

    Google Scholar 

  17. Skolka J, Input-output structural decomposition analysis for Austria, Journal of Policy Modeling, 1989, 11(1): 45–66.

    Google Scholar 

  18. Rose A and Miernyk W, Input-output analysis: The first fifty years, Economic Systems Research, 1989, 1(2): 229–272.

    Google Scholar 

  19. Rose A and Chen C Y, Sources of change in energy use in the US economy, 1972–1982: A structural decomposition analysis, Resources and Energy, 1991, 13(1): 1–21.

    Google Scholar 

  20. Barker T, Sources of structural change for the UK service industries 1979–4, Economic Systems Research, 1990, 2(2): 173–184.

    Google Scholar 

  21. Martin R P and Holland D, Sources of output change in the US economy, Growth and Change, 1992, 23(4): 446–468.

    Google Scholar 

  22. Bekhet H A, Decomposition of Malaysian production structure input-output approach, International Business Research, 2009, 2(4): 129–139.

    Google Scholar 

  23. Liu A and Saal D S, Structural change in Apartheid-Era South Africa: 1975–1993, Economic Systems Research, 2001, 13(3): 235–257.

    Google Scholar 

  24. Roy S, Das T, and Chakraborty D, A study on the Indian information sector: An experiment with input-output techniques, Economic Systems Research, 2002, 14(2): 107–129.

    Google Scholar 

  25. US Congress, Office of technology assessment, energy use and the U.S. economy, OTA-BP-E-57, U.S. Government Printing Office, Washington, DC, USA, 1990.

  26. Lin X and Polenske K R, Input-output anatomy of China’s energy use changes in the 1980s, Economic Systems Research, 1995, 7(1): 67–84.

    Google Scholar 

  27. Nie H and Kemp R, Why did energy intensity fluctuate during 2000–2009? A combination of index decomposition analysis and structural decomposition analysis, Energy for Sustainable Development, 2013, 17(5): 482–488.

    Google Scholar 

  28. Fisher-Vanden K, Jefferson G H, Liu H, et al., What is driving China’s decline in energy intensity?, Resource and Energy Economics, 2004, 26(1): 77–97.

    Google Scholar 

  29. Wu L, Kaneko S, and Matsuoka S, Driving forces behind the stagnancy of China’s energy-related CO2 emissions from 1996 to 1999: The relative importance of structural change, intensity change and scale change, Energy Policy, 2005, 33(3): 319–335.

    Google Scholar 

  30. Zha D, Zhou D, and Ding N, The contribution degree of sub-sectors to structure effect and intensity effects on industry energy intensity in China from 1993 to 2003, Renewable and Sustainable Energy Reviews, 2009, 13(4): 895–902.

    Google Scholar 

  31. Zeng L, Xu M, Liang S, et al., Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis, Energy Policy, 2013, 67: 640–647.

    Google Scholar 

  32. Kagawa S and Inamura H, A structural decomposition of energy consumption based on a hybrid rectangular input-output framework: Japan’s case, Economic Systems Research, 2001, 13(4): 339–363.

    Google Scholar 

  33. Berndt E R and Wood D O, Technology, prices, and the derived demand for energy, The Review of Economics and Statistics, 1975, 57(3): 259–268.

    Google Scholar 

  34. Borges A M and Goulder L H, Decomposing the impact of higher energy prices on longterm growth, Chapter 8 in Scarf H E and Shoven J B, Applied General Equilibrium Analysis, 1984.

  35. Okushima S and Tamura M, Identifying the sources of energy use change: Multiple calibration decomposition analysis and structural decomposition analysis, Structural Change and Economic Dynamics, 2011, 22(4): 313–326.

    Google Scholar 

  36. De Haan M, A structural decomposition analysis of pollution in the Netherlands, Economic Systems Research, 2001, 13(2): 181–196.

    Google Scholar 

  37. Seibel S, Decomposition analysis of carbon dioxide emission changes in Germany-conceptual framework and empirical results, Luxembourg: Office for Official Publications of the European Communities, European Communities, 2003.

    Google Scholar 

  38. Munksgaard J, Pedersen K A, and Wien M, Impact of household consumption on CO2 emissions, Energy Economics, 2000, 22(4): 423–440.

    Google Scholar 

  39. Wadeskog A, Palm V, and Sweden S, Structural decomposition of environmental accounts data — The Swedish case, Statistics Sweden, Eurostat Report, 2003.

  40. Wang Y, Zhao H, Li L, et al., Carbon dioxide emission drivers for a typical metropolis using input-output structural decomposition analysis, Energy Policy, 2013, 58: 312–318.

    Google Scholar 

  41. Chong W H B, Guan D, and Guthrie P, Comparative analysis of carbonization drivers in China’s megacities, Journal of Industrial Ecology, 2012, 16(4): 564–575.

    Google Scholar 

  42. Lim H J, Yoo S H, and Kwak S J, Industrial CO2 emissions from energy use in Korea: A structural decomposition analysis, Energy Policy, 2009, 37(2): 686–698.

    Google Scholar 

  43. Su B and Ang B, Structural decomposition analysis applied to energy and emissions: Some methodological developments, Energy Economics, 2012, 34(1): 177–188.

    Google Scholar 

  44. Zhao X, Ma C, and Hong D, Why did China’s energy intensity increase during 1998–2006: Decomposition and policy analysis, Energy Policy, 2010, 38(3): 1379–1388.

    Google Scholar 

  45. Andreoni V and Galmarinic S, Decoupling economic growth from carbon dioxide emissions: A decomposition analysis of Italian energy consumption, Energy, 2012, 44(1): 682–691.

    Google Scholar 

  46. Mi Z, Zheng J, Meng J, et al., China’s energy consumption in the new normal, Earth Future, 2018, 6: 1007–1016.

    Google Scholar 

  47. Wang H, Ang B W, and Su B, Assessing drivers of economy-wide energy use and emissions: IDA versus SDA, Energy Policy, 2017, 107: 585–599.

    Google Scholar 

  48. Romn-Collado R and Colinet M J, Is energy efficiency a driver or an inhibitor of energy consumption changes in Spain? Two decomposition approaches, Energy Policy, 2018, 115: 409–417.

    Google Scholar 

  49. Liu X J, Liao S M, Rao Z H, et al., A process-level hierarchical structural decomposition analysis (SDA) of energy consumption in an integrated steel plant, Journal of Central South University, 2017, 24(2): 402–412.

    Google Scholar 

  50. Ahmad M, Sectoral price changes in Pakistan: An input-output analysis, Pakistan Economic and Social Review, Vols. Summer, 1991, 29(1): 57–75.

    MathSciNet  Google Scholar 

  51. Siddiqui R and Iqbal Z, Social accounting matrix of Pakistan for 1989–90, Pakistan Institute of Development Economics, Report No. 171, Islamabad, Pakistan, 1999.

  52. Dorosh P, Niazi M K, and Nazli H, A social accounting matrix for Pakistan, 2001–02: Methodology and results, Islamabad, Pakistan, PIDE-Working Papers 2006: 9, Pakistan Institute of Development Economics, 2006a.

  53. Dorosh P, Niazi M K, and Nazli H, A social accounting matrix for Pakistan, 2001–02: Methodology and results, Finance Working Papers 22187, East Asian Bureau of Economic Research, Crawford School of Public Policy at the Australian National University, Canberra, Australia, 2006b.

    Google Scholar 

  54. Abbas A, Yang M, Yousaf K, et al., Comparative analysis of energy use efficieny in food grain production systems of Pakistan, Fresenius Environmental Bulletin, 2018, 27(2): 1053–1059.

    Google Scholar 

  55. Aqeel A and Butt M S, The relationship between energy consumption and economic growth in Pakistan, Asia-Pacific Development Journal, 2001, 8(2): 101–110.

    Google Scholar 

  56. Sindhu M A, Babar Z A, and Abbas A, Analyzing the relationship of energy consumption, consumer expenditures and economic growth: A case study of Pakistan, Journal of Research in Social Sciences, 2018, 6(1): 2305–6533.

    Google Scholar 

  57. Lee C C and Chang C P, Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data, Resource and Energy Economics, 2005, 30: 50–65.

    Google Scholar 

  58. PBS, Pakistan Bureau of Statistics, 2018. [Online]. Available: http://www.pbs.gov.pk/content/when-were-inputoutput-tables-compiled-last-time. [Accessed 2 December 2018].

  59. Debowicz D, Dorosh P, Haider H, et al., A 2007–08 social accounting matrix for Pakistan, Pakistan Strategy Support Program (PSSP) Working Paper No. 001, Available at SSRN: https://ssrn.com/abstract=2161402 or https://doi.org/10.2139/ssrn.2161402, 2012.

  60. Eurostat, Eurostat manual of supply, use and input-output tables (2008 edition), Office for Official Publications of the European Communities, Luxembourg, 2018.

  61. Ministry of Finance, Economic survey of Pakistan 2000–01, Government of Pakistan: Islamabad, Pakistan, 2000.

    Google Scholar 

  62. Ministry of Finance, Economic survey of Pakistan 2001–02, Government of Pakistan: Islamabad, Pakistan, 2001.

    Google Scholar 

  63. Ministry of Finance, Economic survey of Pakistan 2009–10, Government of Pakistan: Islamabad, Pakistan, 2009.

    Google Scholar 

  64. Ministry of Finance, Economic survey of Pakistan 2010–11, Government of Pakistan: Islamabad, Pakistan, 2010.

    Google Scholar 

  65. Ministry of Finance, Economic Survey of Pakistan 2011–12, Government of Pakistan: Islamabad, Pakistan, 2011.

    Google Scholar 

  66. Khalid M A and Ali Y, Analysing economic impact on interdependent infrastructure after flood: Pakistan a case in point, Environmental Hazards, 2019, 18(2): 111–126.

    Google Scholar 

  67. Rose A and Casler S, Input-output structural decomposition analysis: A critical appraisal, Economic Systems Research, 1996, 8(1): 33–62.

    Google Scholar 

  68. Zhang Y, Structural decomposition analysis of sources of decarbonizing economic development in China; 1992–2006, Ecological Economics, 2009, 68(8–9): 2399–2405.

    Google Scholar 

  69. Zhang Y, Supply-side structural effect on carbon emissions in China, Energy Economics, 2010, 32(1): 186–193.

    Google Scholar 

  70. Peng Y and Shi C, Determinants of carbon emissions growth in China: A structural decomposition analysis, Energy Procedia, 2011, 5: 169–175.

    Google Scholar 

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Authors and Affiliations

  1. Department of Management Science and Humanities, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi, KPK, Pakistan

    Yousaf Ali & Sania Binte Saleem

  2. NUST Business School, National University of Science and Technology, Islamabad, Pakistan

    Muhammad Sabir

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  1. Yousaf Ali
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  2. Sania Binte Saleem
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  3. Muhammad Sabir
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Correspondence to Yousaf Ali, Sania Binte Saleem or Muhammad Sabir.

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This paper was recommended for publication by Editor YANG Cuihong.

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Ali, Y., Saleem, S.B. & Sabir, M. Structural Decomposition Analysis to Investigate the Changes in Energy Consumption in Pakistan. J Syst Sci Complex 33, 1497–1515 (2020). https://doi.org/10.1007/s11424-020-8148-6

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  • DOI: https://doi.org/10.1007/s11424-020-8148-6

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