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Greenflation, a myth or fact? Empirical evidence from 26 OECD countries

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  • Chung, Changwoo
  • Kim, Jinsoo

Abstract

Among the various effects of the green transition on the macroeconomy, we examined the unintended effects of the green transition on inflation, the so-called “greenflation”. We analyzed panel data from 26 OECD countries covering the period from 2005 to 2019 using four models based on the New Keynesian Phillips curve model. To date, only a few studies have examined greenflation, particularly in terms of empirical investigation. The main contribution of this study to the literature is to provide empirical evidence of greenflation. We also provide empirical evidence on the issues in the NKPC literature that the output gap better explains inflation dynamics than unit labor costs and confirm the demise of the Phillips curve. Estimates from the Common Correlated Effect Mean Group (CCEMG), Augmented Mean Group (AMG), and Panel Corrected Standard Error (PCSE) models indicate that the green transition has an upward inflationary impact on headline inflation, but no significant impact on core inflation. In addition, we have examined four circumstances under which the green transition may affect inflation that have not been sufficiently discussed in the literature: increased green transition spending, carbon pricing, increased demand for critical minerals, and the low energy density of renewable energy. Each of these circumstances has the potential to exert both upward and downward pressures simultaneously. Our suggestion to policymakers is that they do not yet need to change their current view of monetary policy with respect to greenflation, but they should carefully consider policy designs that take into account the unintended effects of the energy transition.

Suggested Citation

  • Chung, Changwoo & Kim, Jinsoo, 2024. "Greenflation, a myth or fact? Empirical evidence from 26 OECD countries," Energy Economics, Elsevier, vol. 139(C).
  • Handle: RePEc:eee:eneeco:v:139:y:2024:i:c:s0140988324006145
    DOI: 10.1016/j.eneco.2024.107906
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    as
    1. Choi, Sangyup & Shin, Junhyeok & Yoo, Seung Yong, 2022. "Are government spending shocks inflationary at the zero lower bound? New evidence from daily data," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    2. Taylor, John B, 1980. "Aggregate Dynamics and Staggered Contracts," Journal of Political Economy, University of Chicago Press, vol. 88(1), pages 1-23, February.
    3. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    4. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    5. Sascha Rexhäuser & Christian Rammer, 2014. "Environmental Innovations and Firm Profitability: Unmasking the Porter Hypothesis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(1), pages 145-167, January.
    6. Jeremy Rudd & Karl Whelan, 2007. "Modeling Inflation Dynamics: A Critical Review of Recent Research," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 155-170, February.
    7. van Zalk, John & Behrens, Paul, 2018. "The spatial extent of renewable and non-renewable power generation: A review and meta-analysis of power densities and their application in the U.S," Energy Policy, Elsevier, vol. 123(C), pages 83-91.
    8. Islam, Md. Monirul & Sohag, Kazi & Alam, Md. Mahmudul, 2022. "Mineral import demand and clean energy transitions in the top mineral-importing countries," Resources Policy, Elsevier, vol. 78(C).
    9. Chengsi Zhang & Denise R. Osborn & Dong Heon Kim, 2009. "Observed Inflation Forecasts and the New Keynesian Phillips Curve," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 375-398, June.
    10. 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.
    11. Backus, David K & Kehoe, Patrick J, 1992. "International Evidence of the Historical Properties of Business Cycles," American Economic Review, American Economic Association, vol. 82(4), pages 864-888, September.
    12. Mazumder, Sandeep, 2010. "The new Keynesian Phillips curve and the cyclicality of marginal cost," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 747-765, September.
    13. Cristina Conflitti and Matteo Luciani, 2019. "Oil Price Pass-through into Core Inflation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    14. 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.
    15. Nasir, Muhammad Ali & Balsalobre-Lorente, Daniel & Huynh, Toan Luu Duc, 2020. "Anchoring inflation expectations in the face of oil shocks & in the proximity of ZLB: A tale of two targeters," Energy Economics, Elsevier, vol. 86(C).
    16. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
    17. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    18. Bernard, Vl, 1987. "Cross-Sectional Dependence And Problems In Inference In Market-Based Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 25(1), pages 1-48.
    19. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    20. Elena Bobeica & Matteo Ciccarelli & Isabel Vansteenkiste, 2019. "The link between labor cost and price inflation in the euro area," Working Papers Central Bank of Chile 848, Central Bank of Chile.
    21. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    22. Michael Woodford, 2001. "The Taylor Rule and Optimal Monetary Policy," American Economic Review, American Economic Association, vol. 91(2), pages 232-237, May.
    23. Roseline Nyakerario Misati & Esman Morekwa Nyamongo & Isaac Mwangi, 2013. "Commodity price shocks and inflation in a net oil-importing economy," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 37(2), pages 125-148, June.
    24. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    25. Cristina Conflitti & Matteo Luciani, 2019. "Oil Price Pass-through into Core Inflation," The Energy Journal, , vol. 40(6), pages 221-248, November.
    26. Islam, Md. Monirul & Sohag, Kazi & Hammoudeh, Shawkat & Mariev, Oleg & Samargandi, Nahla, 2022. "Minerals import demands and clean energy transitions: A disaggregated analysis," Energy Economics, Elsevier, vol. 113(C).
    27. Abbas, Syed K. & Bhattacharya, Prasad Sankar & Sgro, Pasquale, 2016. "The new Keynesian Phillips curve: An update on recent empirical advances," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 378-403.
    28. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    29. Sbordone, Argia M., 2002. "Prices and unit labor costs: a new test of price stickiness," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 265-292, March.
    30. Chen, Shiu-Sheng, 2009. "Oil price pass-through into inflation," Energy Economics, Elsevier, vol. 31(1), pages 126-133, January.
    31. 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.
    32. Rafael E. De Hoyos & Vasilis Sarafidis, 2006. "Testing for cross-sectional dependence in panel-data models," Stata Journal, StataCorp LP, vol. 6(4), pages 482-496, December.
    33. Sabine, Garabedian & Avotra, Narindranjanahary & Olivia, Ricci & Sandrine, Selosse, 2020. "A macroeconomic evaluation of a carbon tax in overseas territories: A CGE model for Reunion Island," Energy Policy, Elsevier, vol. 147(C).
    34. A. W. Phillips, 1958. "The Relation Between Unemployment and the Rate of Change of Money Wage Rates in the United Kingdom, 1861–1957," Economica, London School of Economics and Political Science, vol. 25(100), pages 283-299, November.
    35. Maximilian Konradt & Beatrice Weder, 2023. "Carbon Taxation and Greenflation: Evidence from Europe and Canada," Journal of the European Economic Association, European Economic Association, vol. 21(6), pages 2518-2546.
    36. Harris, David & Leybourne, Stephen & McCabe, Brendan, 2005. "Panel Stationarity Tests for Purchasing Power Parity With Cross-Sectional Dependence," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 395-409, October.
    37. Sek, Siok Kun, 2017. "Impact of oil price changes on domestic price inflation at disaggregated levels: Evidence from linear and nonlinear ARDL modeling," Energy, Elsevier, vol. 130(C), pages 204-217.
    38. Sanya Carley & David M. Konisky, 2020. "The justice and equity implications of the clean energy transition," Nature Energy, Nature, vol. 5(8), pages 569-577, August.
    39. Zhang, Long & Padhan, Hemachandra & Singh, Sanjay Kumar & Gupta, Monika, 2024. "The impact of renewable energy on inflation in G7 economies: Evidence from artificial neural networks and machine learning methods," Energy Economics, Elsevier, vol. 136(C).
    40. Andersson, Malin & Baccianti, Claudio & Morgan, Julian, 2020. "Climate change and the macro economy," Occasional Paper Series 243, European Central Bank.
    41. Eberhardt, Markus & Bond, Stephen, 2009. "Cross-section dependence in nonstationary panel models: a novel estimator," MPRA Paper 17692, University Library of Munich, Germany.
    42. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    43. Adom, Philip Kofi & Amuakwa-Mensah, Franklin & Agradi, Mawunyo Prosper & Nsabimana, Aimable, 2021. "Energy poverty, development outcomes, and transition to green energy," Renewable Energy, Elsevier, vol. 178(C), pages 1337-1352.
    44. Fischer, Stanley, 1977. "Long-Term Contracts, Rational Expectations, and the Optimal Money Supply Rule," Journal of Political Economy, University of Chicago Press, vol. 85(1), pages 191-205, February.
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