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The Role of Energy in Productivity Growth: A Controversial Issue?

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  • Luis R. Murillo-Zamorano

Abstract

The main objective of this paper is to clarify the controversial role of energy in productivity growth. This is done by reconciling conventional approaches to the measurement of aggregated productivity growth with the microeconomic foundations provided by the energy economics and frontier productivity measurement literature. The use of Malmquist productivity indices allows us to broaden previous research by decomposing productivity growth into technological progress and technical efficiency change as well as analysing the relationship between energy and both sources of productivity change. By doing so, our findings are that energy indeed matters and that the consideration of technical efficiency contributes to a better understanding of both the temporal evolution and cross-country variability of aggregated productivity growth.

Suggested Citation

  • Luis R. Murillo-Zamorano, 2005. "The Role of Energy in Productivity Growth: A Controversial Issue?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 69-88.
    • Handle: RePEc:aen:journl:2005v26-02-a04
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    Cited by:

    1. Wang, Chunhua, 2013. "Changing energy intensity of economies in the world and its decomposition," Energy Economics, Elsevier, vol. 40(C), pages 637-644.
    2. Manh D. Pham & Léopold Simar & Valentin Zelenyuk, 2019. "Statistical Inference for Aggregation of Malmquist Productivity Indices," CEPA Working Papers Series WP082019, School of Economics, University of Queensland, Australia.
    3. Shiyi Chen & Amelia U. Santos-Paulino, 2010. "Energy Consumption and Carbon Emission-Based Productivity Change and Industrialization in Post-Reform China," WIDER Working Paper Series wp-2010-078, World Institute for Development Economic Research (UNU-WIDER).
    4. Calcagnini, Giorgio & Giombini, Germana & Travaglini, Giuseppe, 2016. "Modelling energy intensity, pollution per capita and productivity in Italy: A structural VAR approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1482-1492.
    5. Po-Chi Chen & Ming-Miin Yu, 2014. "Total factor productivity growth and directions of technical change bias: evidence from 99 OECD and non-OECD countries," Annals of Operations Research, Springer, vol. 214(1), pages 143-165, March.
    6. Chen, Shiyi & Santos-Paulino, Amelia U., 2010. "Energy Consumption and Carbon Emission-Based Productivity Change and Industrialization in Post-Reform," WIDER Working Paper Series 078, World Institute for Development Economic Research (UNU-WIDER).
    7. Halkos, George & Bampatsou, Christina, 2016. "Investigating the effect of efficiency and technical changes on productivity," MPRA Paper 76287, University Library of Munich, Germany.
    8. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    9. Shiyi Chen, 2009. "Engine or drag: Can high energy consumption and CO 2 emission drive the sustainable development of Chinese industry?," Frontiers of Economics in China, Springer;Higher Education Press, vol. 4(4), pages 548-571, December.
    10. Selamawit G. Kebede & Almas Heshmati, 2020. "Energy Use and Labor Productivity in Ethiopia: The Case of the Manufacturing Industry," Energies, MDPI, vol. 13(11), pages 1-21, May.
    11. Santosh Kumar, Sahu & K., Narayanan, 2011. "Energy Intensity and Firm Performance: Do Energy Clusters Matter?," MPRA Paper 43457, University Library of Munich, Germany.
    12. Bretholt, Abraham & Pan, Jeh-Nan, 2013. "Evolving the latent variable model as an environmental DEA technology," Omega, Elsevier, vol. 41(2), pages 315-325.
    13. Wang, Chunhua, 2007. "Decomposing energy productivity change: A distance function approach," Energy, Elsevier, vol. 32(8), pages 1326-1333.
    14. Bongseok Choi & Wooyoung Park & Bok-Keun Yu, 2015. "Energy Efficiency and Firm Growth," Working Papers 2015-28, Economic Research Institute, Bank of Korea.
    15. Santosh Kumar Sahu, 2014. "Energy Use Patterns and Firm Performance: Evidence from Indian Industries," Working Papers 2014-092, Madras School of Economics,Chennai,India.
    16. Song Malin & Wu Jie & Wang Yumei, 2012. "Reducing Energy Demand in China: A Statistical Analysis of Urban Energy Consumption in Anhui Province," Energy & Environment, , vol. 23(1), pages 17-32, January.
    17. Robi Kurniawan & Shunsuke Managi, 2019. "Linking Wealth and Productivity of Natural Capital for 140 Countries Between 1990 and 2014," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 443-462, January.
    18. Song, Malin & Wang, Shuhong & Yu, Huayin & Yang, Li & Wu, Jie, 2011. "To reduce energy consumption and to maintain rapid economic growth: Analysis of the condition in China based on expended IPAT model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 5129-5134.
    19. Choi, Bongseok & Park, Wooyoung & Yu, Bok-Keun, 2017. "Energy intensity and firm growth," Energy Economics, Elsevier, vol. 65(C), pages 399-410.
    20. Wang, Chunhua, 2011. "Sources of energy productivity growth and its distribution dynamics in China," Resource and Energy Economics, Elsevier, vol. 33(1), pages 279-292, January.
    21. Wang, Chunhua & Cao, Xiaoyong & Mao, Jie & Qin, Ping, 2019. "The changes in coal intensity of electricity generation in Chinese coal-fired power plants," Energy Economics, Elsevier, vol. 80(C), pages 491-501.
    22. Wei, Yi-Ming & Liao, Hua & Fan, Ying, 2007. "An empirical analysis of energy efficiency in China's iron and steel sector," Energy, Elsevier, vol. 32(12), pages 2262-2270.
    23. Bataille, Chris & Melton, Noel, 2017. "Energy efficiency and economic growth: A retrospective CGE analysis for Canada from 2002 to 2012," Energy Economics, Elsevier, vol. 64(C), pages 118-130.

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    JEL classification:

    • F0 - International Economics - - General

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