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Energy productivity convergence within the Australian construction industry: A panel data study

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  • Ma, Le
  • Hosseini, M. Reza
  • Jiang, Weiling
  • Martek, Igor
  • Mills, Anthony

Abstract

Energy productivity reflecting the volume of goods and services with one-unit consumption of energy has become an important indicator of production and competitiveness within the construction industry. In order to understand the long-run growth patterns of energy productivity in the Australian construction industry, this study investigates the convergence of the construction energy productivity across a sample of seven Australian regions, from 1987 to 2014, and identifies regional clubs for future effective-energy-consumption strategy of production. Using a panel data approach, the study presents a picture of the impacts of the influential components on the equilibrium and growth patterns of construction energy productivity across the studied regions. The findings provide a better understanding of the impact of booms and busts on the Australian construction energy productivity, at the state level. This adds to the body of knowledge on construction productivity by adapting a panel data approach of the convergence study into construction energy productivity.

Suggested Citation

  • Ma, Le & Hosseini, M. Reza & Jiang, Weiling & Martek, Igor & Mills, Anthony, 2018. "Energy productivity convergence within the Australian construction industry: A panel data study," Energy Economics, Elsevier, vol. 72(C), pages 313-320.
  • Handle: RePEc:eee:eneeco:v:72:y:2018:i:c:p:313-320
    DOI: 10.1016/j.eneco.2018.04.030
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    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    3. Miketa, Asami & Mulder, Peter, 2005. "Energy productivity across developed and developing countries in 10 manufacturing sectors: Patterns of growth and convergence," Energy Economics, Elsevier, vol. 27(3), pages 429-453, May.
    4. Ball, V.E. & Färe, R. & Grosskopf, S. & Margaritis, D., 2015. "The role of energy productivity in U.S. agriculture," Energy Economics, Elsevier, vol. 49(C), pages 460-471.
    5. Galor, Oded, 1996. "Convergence? Inferences from Theoretical Models," Economic Journal, Royal Economic Society, vol. 106(437), pages 1056-1069, July.
    6. Mishra, Vinod & Smyth, Russell, 2017. "Conditional convergence in Australia's energy consumption at the sector level," Energy Economics, Elsevier, vol. 62(C), pages 396-403.
    7. Mishra, Vinod & Smyth, Russell, 2014. "Convergence in energy consumption per capita among ASEAN countries," Energy Policy, Elsevier, vol. 73(C), pages 180-185.
    8. Smyth, Russell & Narayan, Paresh Kumar, 2015. "Applied econometrics and implications for energy economics research," Energy Economics, Elsevier, vol. 50(C), pages 351-358.
    9. Lee, Chien-Chiang, 2005. "Energy consumption and GDP in developing countries: A cointegrated panel analysis," Energy Economics, Elsevier, vol. 27(3), pages 415-427, May.
    10. Jakob, Michael & Haller, Markus & Marschinski, Robert, 2012. "Will history repeat itself? Economic convergence and convergence in energy use patterns," Energy Economics, Elsevier, vol. 34(1), pages 95-104.
    11. Fah Choy Chia & Martin Skitmore & Goran Runeson & Adrian Bridge, 2012. "An analysis of construction productivity in Malaysia," Construction Management and Economics, Taylor & Francis Journals, vol. 30(12), pages 1055-1069, December.
    12. Peter Mulder & Henri Groot, 2007. "Sectoral Energy- and Labour-Productivity Convergence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(1), pages 85-112, January.
    13. Stern, David I., 1993. "Energy and economic growth in the USA : A multivariate approach," Energy Economics, Elsevier, vol. 15(2), pages 137-150, April.
    14. Wan, Jun & Baylis, Kathy & Mulder, Peter, 2015. "Trade-facilitated technology spillovers in energy productivity convergence processes across EU countries," Energy Economics, Elsevier, vol. 48(C), pages 253-264.
    15. Saunders, Harry D., 2008. "Fuel conserving (and using) production functions," Energy Economics, Elsevier, vol. 30(5), pages 2184-2235, September.
    16. Los, Bart & Timmer, Marcel P., 2005. "The 'appropriate technology' explanation of productivity growth differentials: An empirical approach," Journal of Development Economics, Elsevier, vol. 77(2), pages 517-531, August.
    17. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    18. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    19. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    20. Lee, Kevin & Pesaran, M Hashem & Smith, Ron, 1997. "Growth and Convergence in Multi-country Empirical Stochastic Solow Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(4), pages 357-392, July-Aug..
    21. Nicholas Apergis & Christina Christou, 2016. "Energy productivity convergence: new evidence from club converging," Applied Economics Letters, Taylor & Francis Journals, vol. 23(2), pages 142-145, February.
    22. Apergis, Nicholas & Fontini, Fulvio & Inchauspe, Julian, 2017. "Integration of regional electricity markets in Australia: A price convergence assessment," Energy Economics, Elsevier, vol. 62(C), pages 411-418.
    23. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
    24. Andrea Filippetti & Antonio Peyrache, 2015. "Labour Productivity and Technology Gap in European Regions: A Conditional Frontier Approach," Regional Studies, Taylor & Francis Journals, vol. 49(4), pages 532-554, April.
    25. Hong, Jingke & Shen, Geoffrey Qiping & Guo, Shan & Xue, Fan & Zheng, Wei, 2016. "Energy use embodied in China׳s construction industry: A multi-regional input–output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1303-1312.
    26. Dimitropoulos, John, 2007. "Energy productivity improvements and the rebound effect: An overview of the state of knowledge," Energy Policy, Elsevier, vol. 35(12), pages 6354-6363, December.
    27. Markandya, Anil & Pedroso-Galinato, Suzette & Streimikiene, Dalia, 2006. "Energy intensity in transition economies: Is there convergence towards the EU average?," Energy Economics, Elsevier, vol. 28(1), pages 121-145, January.
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    More about this item

    Keywords

    Construction energy productivity; Construction industry; Convergence; Panel data study; Australia; Dynamic patterns;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • L74 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Construction
    • N67 - Economic History - - Manufacturing and Construction - - - Africa; Oceania
    • N77 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Africa; Oceania
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment

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