IDEAS home Printed from https://ideas.repec.org/p/qed/wpaper/1368.html
   My bibliography  Save this paper

How Does Energy-cost Lead To Energy Efficiency? Panel Evidence From Canada

Author

Listed:
  • Adugna Olani

    (Queen's University)

  • Samuel Gamtessa

    (University of Regina)

Abstract

An increase in energy-cost can induce energy efficiency improvement - a reduction in energy-output ratio. There are well-established theoretical conjectures of how this can take place. As the relative energy-cost increases, it induces firms to reallocate and selectively utilize the most energy-efficient vintages. In the long-run firms could also achieve energy efficiency through investments in energy-efficient capital. This study uses the Canadian KLEMS panel data set to investigate these relationships. We employ panel vector auto regressions as well as co-integration and error correction techniques to test whether the conjectures hold in the data. Our findings support the theoretical conjectures. The channels we empirically identify suggest that the effect of increased energy-cost can be an increase in energy efficiency: by decreasing energy-capital ratio and increasing output-capital ratio. The latter effect is observed only in the long-run through induced investments in new capital.

Suggested Citation

  • Adugna Olani & Samuel Gamtessa, 2016. "How Does Energy-cost Lead To Energy Efficiency? Panel Evidence From Canada," Working Paper 1368, Economics Department, Queen's University.
    • Handle: RePEc:qed:wpaper:1368
    as

    Download full text from publisher

    File URL: https://www.econ.queensu.ca/sites/econ.queensu.ca/files/qed_wp_1368.pdf
    File Function: First version 2016
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
    2. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    3. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    4. Hogan, William W., 1989. "A dynamic putty--semi-putty model of aggregate energy demand," Energy Economics, Elsevier, vol. 11(1), pages 53-69, January.
    5. Perez-Barahona, Agustin & Zou, Benteng, 2006. "A comparative study of energy saving technical progress in a vintage capital model," Resource and Energy Economics, Elsevier, vol. 28(2), pages 181-191, May.
    6. Boucekkine, Raouf & Pommeret, Aude, 2004. "Energy saving technical progress and optimal capital stock: the role of embodiment," Economic Modelling, Elsevier, vol. 21(3), pages 429-444, May.
    7. Michael R.M. Abrigo & Inessa Love, 2016. "Estimation of Panel Vector Autoregression in Stata: a Package of Programs," Working Papers 201602, University of Hawaii at Manoa, Department of Economics.
    8. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    9. Rajeev Dhawan & Karsten Jeske & Pedro Silos, 2010. "Productivity, Energy Prices and the Great Moderation: A New Link," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(3), pages 715-724, July.
    10. Gale A. Boyd & Stephen H. Karlson, 1993. "The Impact of Energy Prices on Technology Choice in the United States Steel Industry," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 47-56.
    11. Chao Wei, 2003. "Energy, the Stock Market, and the Putty-Clay Investment Model," American Economic Review, American Economic Association, vol. 93(1), pages 311-323, March.
    12. Jaroslava Hlouskova & Martin Wagner, 2006. "The Performance of Panel Unit Root and Stationarity Tests: Results from a Large Scale Simulation Study," Econometric Reviews, Taylor & Francis Journals, vol. 25(1), pages 85-116.
    13. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    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. Antonietti, Roberto & Fontini, Fulvio, 2019. "Does energy price affect energy efficiency? Cross-country panel evidence," Energy Policy, Elsevier, vol. 129(C), pages 896-906.

    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. Gamtessa, Samuel & Olani, Adugna Berhanu, 2018. "Energy price, energy efficiency, and capital productivity: Empirical investigations and policy implications," Energy Economics, Elsevier, vol. 72(C), pages 650-666.
    2. Cheng, Yuk-Shing & Li, Raymond & Woo, Chi-Keung, 2021. "Regional energy-growth nexus and energy conservation policy in China," Energy, Elsevier, vol. 217(C).
    3. Ryan H. Murphy & Colin O’Reilly, 2019. "Applying panel vector autoregression to institutions, human capital, and output," Empirical Economics, Springer, vol. 57(5), pages 1633-1652, November.
    4. Nusair, Salah A., 2019. "Oil price and inflation dynamics in the Gulf Cooperation Council countries," Energy, Elsevier, vol. 181(C), pages 997-1011.
    5. Valérie Mignon & Christophe Hurlin, 2005. "Une synthèse des tests de racine unitaire sur données de panel," Économie et Prévision, Programme National Persée, vol. 169(3), pages 253-294.
    6. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    7. Keil, Sascha, 2024. "Competing for manufacturing value added: How strong is competitive cost pressure on sectoral level?," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 197-212.
    8. Zhang, Yixiang & Xiong, Yali & Li, Feng & Cheng, Jinhua & Yue, Xiaochen, 2020. "Environmental regulation, capital output and energy efficiency in China: An empirical research based on integrated energy prices," Energy Policy, Elsevier, vol. 146(C).
    9. Salisu, Afees A. & Ndako, Umar B., 2018. "Modelling stock price–exchange rate nexus in OECD countries: A new perspective," Economic Modelling, Elsevier, vol. 74(C), pages 105-123.
    10. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    11. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    12. Dobdinga Cletus Fonchamnyo & Gildas Dohba Dinga & Vahsegmi Carolle Ngum, 2021. "Revisiting the nexus between domestic investment, foreign direct investment and external debt in SSA countries: PMG‐ARDL approach," African Development Review, African Development Bank, vol. 33(3), pages 479-491, September.
    13. Le, Thai-Ha & Bui, Manh-Tien & Uddin, Gazi Salah, 2022. "Economic and social impacts of conflict: A cross-country analysis," Economic Modelling, Elsevier, vol. 115(C).
    14. Manuel David Cruz, 2022. "Labor productivity, real wages, and employment: evidence from a panel of OECD economies over 1960-2019," Working Papers PKWP2203, Post Keynesian Economics Society (PKES).
    15. Wagner, Martin, 2008. "The carbon Kuznets curve: A cloudy picture emitted by bad econometrics?," Resource and Energy Economics, Elsevier, vol. 30(3), pages 388-408, August.
    16. Salisu, Afees A., 2019. "United we stand, divided we fall: A PANICCA test evidence for stock exchanges in OECD," Finance Research Letters, Elsevier, vol. 28(C), pages 343-347.
    17. Kiran Asif & Samina Sabir & Unbreen Qayyum, 2024. "Corruption, Political Instability, and Environmental Degradation in South Asia: a Comparative Analysis of Carbon Footprint and Ecological Footprint," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4072-4096, March.
    18. Almira Buzaushina, 2015. "Trade elasticities in transition countries," International Economics and Economic Policy, Springer, vol. 12(2), pages 309-335, June.
    19. Halkos, George, 2011. "Economy - environment relationship: The case of sulphur emissions," MPRA Paper 45480, University Library of Munich, Germany.
    20. Holland, Quynh Chau Pham & Liu, Benjamin & Roca, Eduardo & Salisu, Afees A., 2020. "Mortgage asymmetric pricing, cash rate and international funding cost: Australian evidence," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 46-68.

    More about this item

    Keywords

    Panel data; Energy intensities; Capital productivity; Energy price;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:qed:wpaper:1368. 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: Mark Babcock (email available below). General contact details of provider: https://edirc.repec.org/data/qedquca.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.