Analysing energy productivity dynamics in the OECD manufacturing sector |
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| Affiliation: | 1. VISES, Victoria University, Level 13, 300 Flinders St, Melbourne, Victoria, 3000 Australia;2. ESI - Energy Studies Institute, 29 Heng Mui Keng Terrace Block A, #10-01, 119620, Singapore;1. University College London, London, UK;2. Oxford Institute for Energy Studies, Oxford, UK;3. Christian Albrechts University, Kiel, Germany;4. Stockholm University, Stockholm, Sweden;1. Swinburne Business School, Swinburne University of Technology, Victoria 3122, Australia;2. Department of Economics, Monash University, Victoria 3800, Australia;1. School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance, Shanghai 201209, China;2. Shanghai Key Laboratory of Financial Information Technology, Shanghai 200433, China;3. School of Finance, Shanghai Lixin University of Accounting and Finance, Shanghai 201209, China;4. School of Finance, Nanchang Institute of Technology, NO. 901 Yingxiong Avenue, Changbei Economic Development Zone, NanCahng 330044, China;1. Liberty Mutual Insurance, 175 Berkeley St., Boston, MA 02116, USA;2. Department of Agricultural and Consumer Economics, University of Illinois at Urbana—Champaign, USA;3. Department of Spatial Economics, VU University Amsterdam, The Netherlands |
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| Abstract: | This work aims at developing an understanding of the dynamics of energy productivity. We analyse energy productivities for a sample of 61 OECD country-sector groups in the manufacturing sector over the period 1980 to 2009. We employ two steps of analysis, a preliminary step using a clustering algorithm that sorts countries into groupings or “clubs,” then a second step analysing factors that impact on club membership. We find (i) each group has distinctive dynamics and (ii) evidence that technology structure of production and investment are associated with higher relative energy productivity performance. Further, we find adjusting for energy quality is important. |
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