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Decomposing Change in Energy Consumption of the Agricultural Sector in Pakistan

Author

Listed:
  • Vaqar Ahmed

    (Vaqar Ahmed is Deputy Executive Director at the Sustainable Development Policy Institute, Pakistan. E-mail: vaqar@sdpi.org)

  • Muhammad Zeshan

    (Muhammad Zeshan is PhD Student, currently involved with Inha University Incheon and Pukyong National University Busan, South Korea. E-mail: muh.zeshan@gmail.com)

Abstract

The agricultural sector provides the majority of employment in Pakistan, especially among the poorest segments of the population. Energy provision affects production and livelihoods, especially with the advance of mechanization in agriculture. Changes in gas and electricity prices affect the income of farmers significantly, thereby reducing the agricultural growth rate over time. Agriculture also has a positive impact on industrial sector exports. The dependence of agriculture on electricity consumption in Pakistan has increased over time, while power generation has not kept up with demand. This article decomposes energy consumption in Pakistan and analyzes the behaviour of change in agricultural production, energy intensity and structural changes over the time.

Suggested Citation

  • Vaqar Ahmed & Muhammad Zeshan, 2014. "Decomposing Change in Energy Consumption of the Agricultural Sector in Pakistan," Agrarian South: Journal of Political Economy, Centre for Agrarian Research and Education for South, vol. 3(3), pages 369-402, December.
    • Handle: RePEc:sae:agspub:v:3:y:2014:i:3:p:369-402
    DOI: 10.1177/2277976014560944
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    References listed on IDEAS

    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. Burke, Paul J., 2010. "Income, resources, and electricity mix," Energy Economics, Elsevier, vol. 32(3), pages 616-626, May.
    3. 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.
    4. G. Boyd & J. F. McDonald & M. Ross & D. A. Hansont, 1987. "Separating the Changing Composition of U.S. Manufacturing Production from Energy Efficiency Improvements: A Divisia Index Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 77-96.
    5. Robert K. Kaufmann, 2004. "The Mechanisms for Autonomous Energy Efficiency Increases: A Cointegration Analysis of the US Energy/GDP Ratio," The Energy Journal, , vol. 25(1), pages 63-86, January.
    6. Binswanger, Hans, 1986. "Agricultural Mechanization: A Comparative Historical Perspective," The World Bank Research Observer, World Bank, vol. 1(1), pages 27-56, January.
    7. Unknown, 2008. "Institute of Agricultural Economics," Economics of Agriculture, Institute of Agricultural Economics, vol. 55(3).
    8. Shahid Javed Burki, 2008. "Industrial Policy: Domestic Challenges, Global Imperatives, and Pakistan’s Choices," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 13(Special E), pages 23-34, September.
    9. Rashid Amjad, 2012. "Stagflation, the Labor Market Impact, and the Poverty Puzzle in Pakistan: A Preliminary Analysis," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 17(Special E), pages 51-71, September.
    10. Liu, F. L. & Ang, B. W., 2003. "Eight methods for decomposing the aggregate energy-intensity of industry," Applied Energy, Elsevier, vol. 76(1-3), pages 15-23, September.
    11. Stern, David I., 2000. "A multivariate cointegration analysis of the role of energy in the US macroeconomy," Energy Economics, Elsevier, vol. 22(2), pages 267-283, April.
    12. Shaista Alam & Mohammad Sabihuddin Butt, 2001. "Assessing Energy Consumption and Energy Intensity Changes in Pakistan: An Application of Complete Decomposition Model," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 40(2), pages 135-147.
    13. Milunovich George & Yang Minxian, 2013. "On Identifying Structural VAR Models via ARCH Effects," Journal of Time Series Econometrics, De Gruyter, vol. 5(2), pages 117-131, May.
    14. Shahiduzzaman, Md. & Alam, Khorshed, 2013. "Changes in energy efficiency in Australia: A decomposition of aggregate energy intensity using logarithmic mean Divisia approach," Energy Policy, Elsevier, vol. 56(C), pages 341-351.
    15. Kaufmann, Robert K., 1994. "The relation between marginal product and price in US energy markets : Implications for climate change policy," Energy Economics, Elsevier, vol. 16(2), pages 145-158, April.
    16. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    17. Narayan, Seema, 2013. "A structural VAR model of the Fiji Islands," Economic Modelling, Elsevier, vol. 31(C), pages 238-244.
    18. Gustavo A. Marrero & Francisco J. Ramos-Real, 2013. "Activity Sectors and Energy Intensity: Decomposition Analysis and Policy Implications for European Countries (1991–2005)," Energies, MDPI, vol. 6(5), pages 1-20, May.
    19. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    20. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    21. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    22. Kaufmann, Robert K., 1992. "A biophysical analysis of the energy/real GDP ratio: implications for substitution and technical change," Ecological Economics, Elsevier, vol. 6(1), pages 35-56, July.
    23. Liu, Wenling & Spaargaren, Gert & Heerink, Nico & Mol, Arthur P.J. & Wang, Can, 2013. "Energy consumption practices of rural households in north China: Basic characteristics and potential for low carbon development," Energy Policy, Elsevier, vol. 55(C), pages 128-138.
    24. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
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    Cited by:

    1. Anthony N. Rezitis & Shaikh Mostak Ahammad, 2017. "Sectoral Growth and Energy Consumption in South and Southeast Asian Countries: Evidence from a Panel Data Approach," Review of Economics & Finance, Better Advances Press, Canada, vol. 10, pages 1-17, November.
    2. Sohail Amjed & Iqtidar Ali Shah & Adnan Riaz, 2022. "Investigating the Interactive Role of Demand Side Factors Potentially Responsible for Energy Crisis in Pakistan," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 236-246, May.
    3. Javed, Asif, 2019. "Pakistan’s Agriculture Trade with South Asia," MPRA Paper 95729, University Library of Munich, Germany.
    4. Abbasi, Kashif Raza & Abbas, Jaffar & Tufail, Muhammad, 2021. "Revisiting electricity consumption, price, and real GDP: A modified sectoral level analysis from Pakistan," Energy Policy, Elsevier, vol. 149(C).
    5. Koondhar, Mansoor Ahmed & Shahbaz, Muhammad & Memon, Kamran Ali & Ozturk, Ilhan & Rong, Kong, 2020. "A visualization review analysis of the last two decades for Environmental Kuznets Curve “EKC” based on co-citation analysis theory and pathfinder network scaling algorithms," MPRA Paper 104949, University Library of Munich, Germany, revised 18 Dec 2020.
    6. Dogan, Eyup & Sebri, Maamar & Turkekul, Berna, 2016. "Exploring the relationship between agricultural electricity consumption and output: New evidence from Turkish regional data," Energy Policy, Elsevier, vol. 95(C), pages 370-377.

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