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The Nexus between GHGs Emissions and Clean Growth: Empirical Evidence from Canadian Provinces

Author

Listed:
  • Azad Haider

    (Department of Economics, Dalhousie University, Halifax, NS B3H 4R2, Canada)

  • Wimal Rankaduwa

    (Department of Economics, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada)

  • Farzana Shaheen

    (Nova Scotia Department of Finance and Treasury Board, Halifax, NS B3J 1V9, Canada)

  • Sunila Jabeen

    (School of Economics, Quaid-i-Azam University Islamabad, Islamabad 45320, Pakistan)

Abstract

Canada is one of the most emission-intensive economies in the world and the big challenge for Canada and its provinces is in how to mitigate the GHGs while keeping the same pace of economic growth. This paper’s main objective is to examine the relationship between greenhouse gas (GHGs) emissions and clean growth using cross-sectional data for Canadian provinces from 1995 to 2019. Based on the results of the cross-sectional dependence, slope heterogeneity, and Hausman test, the study applied the pooled mean group (PMG) estimators. For the robustness of the results, the study also provided the results of augmented mean group (AMG) estimators. The results of Westerlund’s test show that the variables of the estimated models are cointegrated in the long run except in the case of the carbon intensity (GHGs/Energy) model, while no short-run relationship was observed. The main findings of both estimators show that an inverted U-shaped relationship exists in the case of the carbon intensity model. In contrast, as expected, a U-shaped relationship exists in the case of the energy intensity model. The results also confirmed that Canada reduced its GHGs emissions after 2005 and that GHGs emissions and energy intensity are decreasing over time. At the province level, only Alberta has no long-run relationship as regards carbon intensity and energy intensity, while Nova Scotia and British Colombia have no long-run relationship as regards energy intensity. In terms of tipping points, Canada is in the increasing phase of the inverted U-shaped curve in the case of carbon intensity, while in the decreasing phase of the U-shaped curve in the case of energy intensity. There is a significant decrease in greenhouse gas emissions per capita at the provincial level compared to the 2005 base levels. It is imperative to reduce greenhouse gas emissions per capita in Canada and its provinces over time by gradually rolling out energy-saving incentives rather than by using more efficient energy-saving technology. The government of Canada should shift towards low-carbon energy and renewable sources which emit fewer greenhouse gases per unit of energy produced.

Suggested Citation

  • Azad Haider & Wimal Rankaduwa & Farzana Shaheen & Sunila Jabeen, 2023. "The Nexus between GHGs Emissions and Clean Growth: Empirical Evidence from Canadian Provinces," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2218-:d:1046300
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    as
    1. Kaivo-oja, Jari & Vehmas, Jarmo & Luukkanen, Jyrki, 2016. "Trend analysis of energy and climate policy environment: Comparative electricity production and consumption benchmark analyses of China, Euro area, European Union, and United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 464-474.
    2. Pesaran, M.H. & Shin, Y., 1995. "An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis," Cambridge Working Papers in Economics 9514, Faculty of Economics, University of Cambridge.
    3. Anindya Banerjee & Massimiliano Marcellino & Chiara Osbat, 2004. "Some cautions on the use of panel methods for integrated series of macroeconomic data," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 322-340, December.
    4. Okajima, Shigeharu & Okajima, Hiroko, 2013. "Analysis of energy intensity in Japan," Energy Policy, Elsevier, vol. 61(C), pages 574-586.
    5. Badi H. Baltagi & Espen Bratberg & Tor Helge Holmås, 2005. "A panel data study of physicians' labor supply: the case of Norway," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 1035-1045, October.
    6. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    7. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    8. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    9. Le Pen, Yannick & Sévi, Benoît, 2010. "On the non-convergence of energy intensities: Evidence from a pair-wise econometric approach," Ecological Economics, Elsevier, vol. 69(3), pages 641-650, January.
    10. 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.
    11. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    12. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    13. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    14. Zsuzsanna Csereklyei, M. d. Mar Rubio-Varas, and David I. Stern, 2016. "Energy and Economic Growth: The Stylized Facts," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    15. Chris Bataille & Henri Waisman & Michel Colombier & Laura Segafredo & Jim Williams & Frank Jotzo, 2016. "The need for national deep decarbonization pathways for effective climate policy," Climate Policy, Taylor & Francis Journals, vol. 16(sup1), pages 7-26, June.
    16. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    17. Francis Teal & Markus Eberhardt, 2010. "Productivity Analysis in Global Manufacturing Production," Economics Series Working Papers 515, University of Oxford, Department of Economics.
    18. Du, Xiuying & Xie, Zixiong, 2020. "Occurrence of turning point on environmental Kuznets curve in the process of (de)industrialization," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 359-369.
    19. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    20. Ezcurra, Roberto, 2007. "Distribution dynamics of energy intensities: A cross-country analysis," Energy Policy, Elsevier, vol. 35(10), pages 5254-5259, October.
    21. Luzzati, T. & Orsini, M., 2009. "Investigating the energy-environmental Kuznets curve," Energy, Elsevier, vol. 34(3), pages 291-300.
    22. Arthur van Benthem & Mattia Romani, 2009. "Fuelling Growth: What Drives Energy Demand in Developing Countries?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 91-114.
    23. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
    24. Wang, Chunhua, 2013. "Changing energy intensity of economies in the world and its decomposition," Energy Economics, Elsevier, vol. 40(C), pages 637-644.
    25. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    26. repec:dau:papers:123456789/6801 is not listed on IDEAS
    27. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 1999. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521631693.
    28. Burke, Paul J. & Csereklyei, Zsuzsanna, 2016. "Understanding the energy-GDP elasticity: A sectoral approach," Energy Economics, Elsevier, vol. 58(C), pages 199-210.
    29. Joeri Rogelj & Michel den Elzen & Niklas Höhne & Taryn Fransen & Hanna Fekete & Harald Winkler & Roberto Schaeffer & Fu Sha & Keywan Riahi & Malte Meinshausen, 2016. "Paris Agreement climate proposals need a boost to keep warming well below 2 °C," Nature, Nature, vol. 534(7609), pages 631-639, June.
    30. Mielnik, Otavio & Goldemberg, Jose, 2000. "Converging to a common pattern of energy use in developing and industrialized countries," Energy Policy, Elsevier, vol. 28(8), pages 503-508, July.
    31. Kenneth B. Medlock III & Ronald Soligo, 2001. "Economic Development and End-Use Energy Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 77-105.
    32. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    33. 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.
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