IDEAS home Printed from https://ideas.repec.org/p/mar/magkse/201610.html
   My bibliography  Save this paper

Directed Technical Change and Energy Intensity Dynamics: Structural Change vs. Energy Efficiency

Author

Listed:
  • Christian Haas

    (University of Giessen)

  • Karol Kempa

    (Frankfurt School of Finance and Management)

Abstract

This paper uses a model with Directed Technical Change to theoretically analyse observable heterogeneous energy intensity developments. Based on the empirical evidence, we decompose changes in aggregate energy intensity into structural changes in the economy (structural effect) and within-sector energy effciency improvements (effciency effect). The relative importance of these effects is determined by energy price growth and sectoral productivities that drive the direction of technical change. When research is directed to the labour-intensive sector, the structural effect is the main driver of energy intensity dynamics. In contrast, the effciency effect dominates energy intensity developments, when research is directed to energy-intensive industries. Increasing energy price generally leads to lower energy intensities and temporal energy price shocks might induce a permanent redirection of innovation activities. We calibrate the model to empirical data and simulate energy intensity developments across countries. The results of our very stylised model are largely consistent with empirical evidence.

Suggested Citation

  • Christian Haas & Karol Kempa, 2016. "Directed Technical Change and Energy Intensity Dynamics: Structural Change vs. Energy Efficiency," MAGKS Papers on Economics 201610, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  • Handle: RePEc:mar:magkse:201610
    as

    Download full text from publisher

    File URL: http://www.uni-marburg.de/fb02/makro/forschung/magkspapers/paper_2016/10-2016_haas.pdf
    File Function: First 201610
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Wang, Chunhua, 2013. "Changing energy intensity of economies in the world and its decomposition," Energy Economics, Elsevier, vol. 40(C), pages 637-644.
    3. Jan Velthuijsen, 1993. "Incentives for investment in energy efficiency: an econometric evaluation and policy implications," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(2), pages 153-169, April.
    4. Daubanes, Julien & Grimaud, André & Rougé, Luc, 2012. "Green Paradox and Directed Technical Change: The Effects of Subsidies to Clean R&D," LERNA Working Papers 12.20.377, LERNA, University of Toulouse.
    5. Sami Alpanda & Adrian Peralta-Alva, 2010. "Oil Crisis, Energy-Saving Technological Change and the Stock Market Crash of 1973-74," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(4), pages 824-842, October.
    6. Joshua Linn, 2008. "Energy Prices and the Adoption of Energy-Saving Technology," Economic Journal, Royal Economic Society, vol. 118(533), pages 1986-2012, November.
    7. Di Maria, C. & van der Werf, E.H., 2005. "Carbon Leakage Revisited : Unilateral Climate Policy with Directed Technical Change," Discussion Paper 2005-68, Tilburg University, Center for Economic Research.
    8. Mulder, Peter & de Groot, Henri L.F., 2012. "Structural change and convergence of energy intensity across OECD countries, 1970–2005," Energy Economics, Elsevier, vol. 34(6), pages 1910-1921.
    9. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    10. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    11. Steinbuks, Jevgenijs & Neuhoff, Karsten, 2014. "Assessing energy price induced improvements in efficiency of capital in OECD manufacturing industries," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 340-356.
    12. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    13. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    14. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    15. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
    16. Schipper, Lee & Grubb, Michael, 2000. "On the rebound? Feedback between energy intensities and energy uses in IEA countries," Energy Policy, Elsevier, vol. 28(6-7), pages 367-388, June.
    17. Yueming Qiu, 2014. "Energy Efficiency and Rebound Effects: An Econometric Analysis of Energy Demand in the Commercial Building Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(2), pages 295-335, October.
    18. J. Daniel Khazzoom, 1980. "Economic Implications of Mandated Efficiency in Standards for Household Appliances," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 21-40.
    19. Greening, Lorna A. & Davis, William B. & Schipper, Lee, 1998. "Decomposition of aggregate carbon intensity for the manufacturing sector: comparison of declining trends from 10 OECD countries for the period 1971-1991," Energy Economics, Elsevier, vol. 20(1), pages 43-65, February.
    20. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    21. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    22. Corrado Maria & Edwin Werf, 2008. "Carbon leakage revisited: unilateral climate policy with directed technical change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 39(2), pages 55-74, February.
    23. Lee, Chien-Chiang & Lee, Jun-De, 2009. "Energy prices, multiple structural breaks, and efficient market hypothesis," Applied Energy, Elsevier, vol. 86(4), pages 466-479, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lizhan Cao & Zhongying Qi, 2017. "Theoretical Explanations for the Inverted-U Change of Historical Energy Intensity," Sustainability, MDPI, vol. 9(6), pages 1-19, June.
    2. Yin, Hua-Tang & Wen, Jun & Chang, Chun-Ping, 2022. "Science-technology intermediary and innovation in China: Evidence from State Administration for Market Regulation, 2000–2019," Technology in Society, Elsevier, vol. 68(C).
    3. Chang, Chun-Ping & Wen, Jun & Zheng, Mingbo & Dong, Minyi & Hao, Yu, 2018. "Is higher government efficiency conducive to improving energy use efficiency? Evidence from OECD countries," Economic Modelling, Elsevier, vol. 72(C), pages 65-77.
    4. Mehmet Balcilar & Firat Emir, 2018. "The Dynamics of Energy Intensity Convergence in the EU-28 Countries," Working Papers 15-37, Eastern Mediterranean University, Department of Economics.
    5. Roberts, Simon H. & Foran, Barney D. & Axon, Colin J. & Stamp, Alice V., 2021. "Is the service industry really low-carbon? Energy, jobs and realistic country GHG emissions reductions," Applied Energy, Elsevier, vol. 292(C).
    6. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
    7. Yetkiner, Hakan & Berk, Istemi, 2023. "Energy intensity and directed fiscal policy," Economic Systems, Elsevier, vol. 47(2).
    8. Kerner, Philip & Wendler, Tobias, 2022. "Convergence in resource productivity," World Development, Elsevier, vol. 158(C).
    9. Livas-García, A. & Bonilla, D. & Escalante Soberanis, M.A. & Bassam, A., 2019. "Projecting the energy pathway using a methodological sequence: The case of Mexico," Energy Policy, Elsevier, vol. 135(C).
    10. Tang, Maogang & Li, Zhen & Hu, Fengxia & Wu, Baijun & Zhang, Ruihan, 2021. "Market failure, tradable discharge permit, and pollution reduction: Evidence from industrial firms in China," Ecological Economics, Elsevier, vol. 189(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kempa, Karol & Haas, Christian, 2016. "Directed Technical Change and Energy Intensity Dynamics: Structural Change vs. Energy Efficiency," VfS Annual Conference 2016 (Augsburg): Demographic Change 145722, Verein für Socialpolitik / German Economic Association.
    2. Fan, Maoqing & Zheng, Haitao, 2019. "The impact of factor price changes and technological progress on the energy intensity of China's industries: Kalman filter-based econometric method," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 340-353.
    3. Löschel, Andreas & Pothen, Frank & Schymura, Michael, 2015. "Peeling the onion: Analyzing aggregate, national and sectoral energy intensity in the European Union," Energy Economics, Elsevier, vol. 52(S1), pages 63-75.
    4. Zaim, Osman & Uygurtürk Gazel, Tuğçe & Akkemik, K. Ali, 2017. "Measuring energy intensity in Japan: A new method," European Journal of Operational Research, Elsevier, vol. 258(2), pages 778-789.
    5. Cansino, José M. & Román-Collado, Rocío & Merchán, José, 2019. "Do Spanish energy efficiency actions trigger JEVON’S paradox?," Energy, Elsevier, vol. 181(C), pages 760-770.
    6. Schymura, Michael & Voigt, Sebastian, 2014. "What drives changes in carbon emissions? An index decomposition approach for 40 countries," ZEW Discussion Papers 14-038, ZEW - Leibniz Centre for European Economic Research.
    7. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    8. Román-Collado, Rocío & Cansino, José M. & Botia, Camilo, 2018. "How far is Colombia from decoupling? Two-level decomposition analysis of energy consumption changes," Energy, Elsevier, vol. 148(C), pages 687-700.
    9. Fernández González, P. & Landajo, M. & Presno, M.J., 2013. "The Divisia real energy intensity indices: Evolution and attribution of percent changes in 20 European countries from 1995 to 2010," Energy, Elsevier, vol. 58(C), pages 340-349.
    10. Marcucci, Adriana & Fragkos, Panagiotis, 2015. "Drivers of regional decarbonization through 2100: A multi-model decomposition analysis," Energy Economics, Elsevier, vol. 51(C), pages 111-124.
    11. Fernández González, P., 2015. "Exploring energy efficiency in several European countries. An attribution analysis of the Divisia structural change index," Applied Energy, Elsevier, vol. 137(C), pages 364-374.
    12. Deichmann, Uwe & Reuter, Anna & Vollmer, Sebastian & Zhang, Fan, 2019. "The relationship between energy intensity and economic growth: New evidence from a multi-country multi-sectorial dataset," World Development, Elsevier, vol. 124(C), pages 1-1.
    13. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    14. Shigemi Kagawa & Yuriko Goto & Sangwon Suh & Keisuke Nansai & Yuki Kudoh, 2012. "Accounting for Changes in Automobile Gasoline Consumption in Japan: 2000–2007," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 1(1), pages 1-27, December.
    15. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    16. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    17. Dequn Zhou & Xiao Liu & Peng Zhou & Qunwei Wang, 2017. "Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method," Sustainability, MDPI, vol. 9(5), pages 1-13, April.
    18. Xing Zhou & Meihua Zhou & Ming Zhang, 2016. "Contrastive analyses of the influence factors of interprovincial carbon emission induced by industry energy in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1405-1433, April.
    19. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    20. Edyta Sidorczuk-Pietraszko, 2020. "Spatial Differences in Carbon Intensity in Polish Households," Energies, MDPI, vol. 13(12), pages 1-21, June.

    More about this item

    Keywords

    directed technical change; energy efficiency; energy intensity; structural change;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mar:magkse:201610. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bernd Hayo (email available below). General contact details of provider: https://edirc.repec.org/data/vamarde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.