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Estimating and decomposing productivity growth of the electricity generation industry in Malaysia: A stochastic frontier analysis

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  • See, Kok Fong
  • Coelli, Tim

Abstract

This study examines the total factor productivity (TFP) growth of the Malaysian electricity generation industry over the 1998 to 2005 period. The stochastic frontier analysis (SFA) approach is used to measure TFP change and decompose TFP growth into efficiency change and technical progress. We find that it achieved average annual TFP growth of 2.34%, with technical change contributing the most to the TFP growth over the eight year period. We hence hypothesise that the new power plants with their newer capital-embodied technologies commencing during the sample period are likely to be the main reason for this strong technical change. In addition, it is also noted that this estimate for the Malaysian electricity generation industry is larger than the estimate obtained for the electricity sector as a whole, where we obtain 1.34% per year for a comparable period.

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  • See, Kok Fong & Coelli, Tim, 2013. "Estimating and decomposing productivity growth of the electricity generation industry in Malaysia: A stochastic frontier analysis," Energy Policy, Elsevier, vol. 62(C), pages 207-214.
    • Handle: RePEc:eee:enepol:v:62:y:2013:i:c:p:207-214
    DOI: 10.1016/j.enpol.2013.06.115
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    Cited by:

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    2. Jan Kluge & Sarah Lappöhn & Kerstin Plank, 2023. "Predictors of TFP growth in European countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 109-140, February.
    3. Ajayi, Victor & Weyman-Jones, Tom, 2021. "State-level electricity generation efficiency: Do restructuring and regulatory institutions matter in the US?," Energy Economics, Elsevier, vol. 104(C).
    4. Makridou, Georgia & Andriosopoulos, Kostas & Doumpos, Michael & Zopounidis, Constantin, 2016. "Measuring the efficiency of energy-intensive industries across European countries," Energy Policy, Elsevier, vol. 88(C), pages 573-583.
    5. Stefan Seifert, 2015. "Measuring Productivity When Technologies Are Heterogeneous: A Semi-Parametric Approach for Electricity Generation," Discussion Papers of DIW Berlin 1526, DIW Berlin, German Institute for Economic Research.
    6. Paul, Satya & Shankar, Sriram, 2022. "Regulatory reforms and the efficiency and productivity growth in electricity generation in OECD countries," Energy Economics, Elsevier, vol. 108(C).
    7. Dai, Xiaoyong & Cheng, Liwei, 2016. "Market distortions and aggregate productivity: Evidence from Chinese energy enterprises," Energy Policy, Elsevier, vol. 95(C), pages 304-313.
    8. Xie, Bai-Chen & Ni, Kang-Kang & O'Neill, Eoghan & Li, Hong-Zhou, 2021. "The scale effect in China's power grid sector from the perspective of malmquist total factor productivity analysis," Utilities Policy, Elsevier, vol. 69(C).
    9. Mirza, Faisal Mehmood & Mushtaq, Iqra & Ullah, Kafait, 2017. "Assessing the efficiency dynamics of post reforms electric distribution utilities in Pakistan," Utilities Policy, Elsevier, vol. 47(C), pages 18-28.
    10. Mirza, Faisal Mehmood & Rizvi, Syed Badar-Ul-Husnain & Bergland, Olvar, 2021. "Service quality, technical efficiency and total factor productivity growth in Pakistan's post-reform electricity distribution companies," Utilities Policy, Elsevier, vol. 68(C).
    11. Lei Wang & Ruyin Long & Hong Chen, 2017. "Study of Urban Energy Performance Assessment and Its Influencing Factors Based on Improved Stochastic Frontier Analysis: A Case Study of Provincial Capitals in China," Sustainability, MDPI, vol. 9(7), pages 1-18, June.
    12. See, Kok Fong & Coelli, Tim, 2014. "Total factor productivity analysis of a single vertically integrated electricity utility in Malaysia using a Törnqvist index method," Utilities Policy, Elsevier, vol. 28(C), pages 62-72.
    13. Liu, Xiao-Yan & Pollitt, Michael G. & Xie, Bai-Chen & Liu, Li-Qiu, 2019. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Energy Economics, Elsevier, vol. 83(C), pages 333-344.
    14. Ajayi, V. & Weyman-Jones, T., 2021. "State-Level Electricity Generation Efficiency: Do Restructuring and Regulatory Institutions Matter in the US?," Cambridge Working Papers in Economics 2166, Faculty of Economics, University of Cambridge.
    15. Barnabé Walheer, 2019. "Dynamic directional nonparametric profit efficiency analysis for a single decision-making unit: an aggregation approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 1123-1149, December.
    16. Maliyamu Abudureheman & Qingzhe Jiang & Jiong Gong & Abulaiti Yiming, 2023. "Estimating and Decomposing the TFP Growth of Service-Oriented Manufacturing in China: A Translogarithmic Stochastic Frontier Approach," Sustainability, MDPI, vol. 15(7), pages 1-20, March.
    17. Mirza, Faisal Mehmood & Mushtaq, Iqra, 2022. "Estimating the marginal cost of improving services quality in electricity distribution utilities of Pakistan," Energy Policy, Elsevier, vol. 167(C).
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    19. Kluge, Jan & Lappoehn, Sarah & Plank, Kerstin, 2020. "The Determinants of Economic Competitiveness," IHS Working Paper Series 24, Institute for Advanced Studies.

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