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Is there a macroeconomic carbon rebound effect in EU ETS?

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  • Bolat, C. Kaan
  • Soytas, Ugur
  • Akinoglu, Bulent
  • Nazlioglu, Saban

Abstract

This study examines the macroeconomic carbon rebound effect for the European Union (EU) Emissions Trading System (ETS) by using data for the 2005–2019 period for 26 European countries. We estimate the panel data models which link emissions to allowances by controlling for economic growth, investment, employment, and energy intensity. The results from both the recent panel estimation approaches and Granger causality analysis indicate a macroeconomic carbon rebound effect of the EU ETS. The bidirectional Granger causality between emissions and allowances highlights a self-enforcing macroeconomic rebound. Energy intensity significantly impacts emissions directly and indirectly via the macroeconomic rebound effect. Our results show that positive economic spillovers of ETSs may hamper the efforts to meet climate targets.

Suggested Citation

  • Bolat, C. Kaan & Soytas, Ugur & Akinoglu, Bulent & Nazlioglu, Saban, 2023. "Is there a macroeconomic carbon rebound effect in EU ETS?," Energy Economics, Elsevier, vol. 125(C).
    • Handle: RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003778
    DOI: 10.1016/j.eneco.2023.106879
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    as
    1. Löschel, Andreas & Lutz, Benjamin Johannes & Managi, Shunsuke, 2019. "The impacts of the EU ETS on efficiency and economic performance – An empirical analyses for German manufacturing firms," Resource and Energy Economics, Elsevier, vol. 56(C), pages 71-95.
    2. Farid, Saqib & Karim, Sitara & Naeem, Muhammad A. & Nepal, Rabindra & Jamasb, Tooraj, 2023. "Co-movement between dirty and clean energy: A time-frequency perspective," Energy Economics, Elsevier, vol. 119(C).
    3. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    4. Simon Reese & Joakim Westerlund, 2016. "Panicca: Panic on Cross‐Section Averages," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 961-981, September.
    5. Mirza, Nawazish & Naeem, Muhammad Abubakr & Ha Nguyen, Thi Thu & Arfaoui, Nadia & Oliyide, Johnson A., 2023. "Are sustainable investments interdependent? The international evidence," Economic Modelling, Elsevier, vol. 119(C).
    6. Marit Klemetsen & Knut Einar Rosendahl & Anja Lund Jakobsen, 2020. "The Impacts Of The Eu Ets On Norwegian Plants’ Environmental And Economic Performance," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 1-32, February.
    7. Cretí, Anna & Joëts, Marc, 2017. "Multiple bubbles in the European Union Emission Trading Scheme," Energy Policy, Elsevier, vol. 107(C), pages 119-130.
    8. Schusser, Sandra & Jaraitė, Jūratė, 2018. "Explaining the interplay of three markets: Green certificates, carbon emissions and electricity," Energy Economics, Elsevier, vol. 71(C), pages 1-13.
    9. Koch, Nicolas & Basse Mama, Houdou, 2019. "Does the EU Emissions Trading System induce investment leakage? Evidence from German multinational firms," Energy Economics, Elsevier, vol. 81(C), pages 479-492.
    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. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    12. Andrea Baranzini & Jeroen C. J. M. van den Bergh & Stefano Carattini & Richard B. Howarth & Emilio Padilla & Jordi Roca, 2017. "Carbon pricing in climate policy: seven reasons, complementary instruments, and political economy considerations," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 8(4), July.
    13. Umar Nawaz Kayani & Misbah Sadiq & Ahmet Faruk Aysan & Syed Arslan Haider & Ismat Nasim, 2023. "The Impact of Investment, Economic Growth, Renewable Energy, Urbanisation, and Tourism on Carbon Emissions: Global Evidence," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 403-412, January.
    14. Barragán-Beaud, Camila & Pizarro-Alonso, Amalia & Xylia, Maria & Syri, Sanna & Silveira, Semida, 2018. "Carbon tax or emissions trading? An analysis of economic and political feasibility of policy mechanisms for greenhouse gas emissions reduction in the Mexican power sector," Energy Policy, Elsevier, vol. 122(C), pages 287-299.
    15. Ciarreta, Aitor & Espinosa, Maria Paz & Pizarro-Irizar, Cristina, 2017. "Optimal regulation of renewable energy: A comparison of Feed-in Tariffs and Tradable Green Certificates in the Spanish electricity system," Energy Economics, Elsevier, vol. 67(C), pages 387-399.
    16. Arfaoui, Nadia & Naeem, Muhammad Abubakr & Boubaker, Sabri & Mirza, Nawazish & Karim, Sitara, 2023. "Interdependence of clean energy and green markets with cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    17. Carratù, Maria & Chiarini, Bruno & Piselli, Paolo, 2020. "Effects of European emission unit allowance auctions on corporate profitability," Energy Policy, Elsevier, vol. 144(C).
    18. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    19. Chen, Zhe & Song, Pei & Wang, Baolu, 2021. "Carbon emissions trading scheme, energy efficiency and rebound effect – Evidence from China's provincial data," Energy Policy, Elsevier, vol. 157(C).
    20. Pfaff, Matthias & Sartorius, Christian, 2015. "Economy-wide rebound effects for non-energetic raw materials," Ecological Economics, Elsevier, vol. 118(C), pages 132-139.
    21. M. Pahle & O. Tietjen & S. Osorio & F. Egli & B. Steffen & T. S. Schmidt & O. Edenhofer, 2022. "Safeguarding the energy transition against political backlash to carbon markets," Nature Energy, Nature, vol. 7(3), pages 290-296, March.
    22. Borozan, Djula, 2019. "Unveiling the heterogeneous effect of energy taxes and income on residential energy consumption," Energy Policy, Elsevier, vol. 129(C), pages 13-22.
    23. Raphael Calel, 2020. "Adopt or Innovate: Understanding Technological Responses to Cap-and-Trade," American Economic Journal: Economic Policy, American Economic Association, vol. 12(3), pages 170-201, August.
    24. Ghosh, Neal K. & Blackhurst, Michael F., 2014. "Energy savings and the rebound effect with multiple energy services and efficiency correlation," Ecological Economics, Elsevier, vol. 105(C), pages 55-66.
    25. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    26. Christina Pakusch & Gunnar Stevens & Alexander Boden & Paul Bossauer, 2018. "Unintended Effects of Autonomous Driving: A Study on Mobility Preferences in the Future," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    27. Su, Yu-Wen, 2019. "Residential electricity demand in Taiwan: Consumption behavior and rebound effect," Energy Policy, Elsevier, vol. 124(C), pages 36-45.
    28. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    29. Giovanni Marin & Marianna Marino & Claudia Pellegrin, 2018. "The Impact of the European Emission Trading Scheme on Multiple Measures of Economic Performance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 551-582, October.
    30. Naeem, Muhammad Abubakr & Karim, Sitara & Uddin, Gazi Salah & Junttila, Juha, 2022. "Small fish in big ponds: Connections of green finance assets to commodity and sectoral stock markets," International Review of Financial Analysis, Elsevier, vol. 83(C).
    31. Barbot, Cristina & Betancor, Ofelia & Socorro, M. Pilar & Viecens, M. Fernanda, 2014. "Trade-offs between environmental regulation and market competition: Airlines, emission trading systems and entry deterrence," Transport Policy, Elsevier, vol. 33(C), pages 65-72.
    32. Font Vivanco, David & Kemp, René & van der Voet, Ester, 2016. "How to deal with the rebound effect? A policy-oriented approach," Energy Policy, Elsevier, vol. 94(C), pages 114-125.
    33. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    34. Barkhordar, Zahra A., 2019. "Evaluating the economy-wide effects of energy efficient lighting in the household sector of Iran," Energy Policy, Elsevier, vol. 127(C), pages 125-133.
    35. Freire-González, Jaume, 2017. "A new way to estimate the direct and indirect rebound effect and other rebound indicators," Energy, Elsevier, vol. 128(C), pages 394-402.
    36. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    37. Umar Nawaz Kayani & Ahmet Faruk Aysan & Umer Iqbal & Muhammad Arif & Ijaz Ur Rehman, 2022. "Foreign Direct Investment Settlement, Novel Energy Methods and CO2 Emissions: Evidence From United Arab Emirates," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 364-369, November.
    38. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    39. Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2019. "Sustainable Feasibility of Carbon Trading Policy on Heterogenetic Economic and Industrial Development," Sustainability, MDPI, vol. 11(23), pages 1-18, December.
    40. Zhou, Meifang & Liu, Yu & Feng, Shenghao & Liu, Yang & Lu, Yingying, 2018. "Decomposition of rebound effect: An energy-specific, general equilibrium analysis in the context of China," Applied Energy, Elsevier, vol. 221(C), pages 280-298.
    41. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    42. Kim, Pyung & Bae, Hyunhoe, 2022. "Do firms respond differently to the carbon pricing by industrial sector? How and why? A comparison between manufacturing and electricity generation sectors using firm-level panel data in Korea," Energy Policy, Elsevier, vol. 162(C).
    43. Christian Flachsland & Michael Pahle & Dallas Burtraw & Ottmar Edenhofer & Milan Elkerbout & Carolyn Fischer & Oliver Tietjen & Lars Zetterberg, 2020. "How to avoid history repeating itself: the case for an EU Emissions Trading System (EU ETS) price floor revisited," Climate Policy, Taylor & Francis Journals, vol. 20(1), pages 133-142, January.
    44. 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.
    45. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    46. Li, Ke & Jiang, Zhujun, 2016. "The impacts of removing energy subsidies on economy-wide rebound effects in China: An input-output analysis," Energy Policy, Elsevier, vol. 98(C), pages 62-72.
    47. Chitnis, Mona & Sorrell, Steve & Druckman, Angela & Firth, Steven K. & Jackson, Tim, 2013. "Turning lights into flights: Estimating direct and indirect rebound effects for UK households," Energy Policy, Elsevier, vol. 55(C), pages 234-250.
    48. Bai, Jushan & Ng, Serena, 2010. "Panel Unit Root Tests With Cross-Section Dependence: A Further Investigation," Econometric Theory, Cambridge University Press, vol. 26(4), pages 1088-1114, August.
    49. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    50. Belaïd, Fateh & Bakaloglou, Salomé & Roubaud, David, 2018. "Direct rebound effect of residential gas demand: Empirical evidence from France," Energy Policy, Elsevier, vol. 115(C), pages 23-31.
    51. Zhang, Jiangshan & Lin Lawell, C.-Y. Cynthia, 2017. "The macroeconomic rebound effect in China," Energy Economics, Elsevier, vol. 67(C), pages 202-212.
    52. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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