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Cyclical convergence in per capita carbon dioxide emission in US states: A dynamic unobserved component approach

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  • de Lucas-Santos, Sonia
  • Delgado-Rodríguez, María Jesús
  • Cabezas-Ares, Alfredo

Abstract

In this paper we evaluate whether the US states have been able to achieve convergence in their carbon emission cycles which may be a key factor in taking a leap as regards the development of a US climate change policy. The use of a dynamic unobserved component approach and a time-varying parameter model enable estimation of the short run dynamics of energy convergence over the extended period 1960–2017. To date, this type of analysis has not received enough attention in the literature. The results reveal the existence of cross-state links in the fluctuations of CO2 emissions, although the degree to which a good part of the states are co-moving is weak. We also find that cyclical convergence patterns differ considerably in both the level and trajectories across the US states. The difficulties in increasing synchronization of the US CO2 emissions highlight the importance of the states to lead climate change mitigation actions. The present study presents valuable information of interest regarding the short-run characteristics in carbon dioxide emissions, for better understanding of factors affecting CO2 mitigation policies.

Suggested Citation

  • de Lucas-Santos, Sonia & Delgado-Rodríguez, María Jesús & Cabezas-Ares, Alfredo, 2021. "Cyclical convergence in per capita carbon dioxide emission in US states: A dynamic unobserved component approach," Energy, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:energy:v:217:y:2021:i:c:s0360544220324567
    DOI: 10.1016/j.energy.2020.119349
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    1. Mohammadi, Hassan & Ram, Rati, 2017. "Convergence in energy consumption per capita across the US states, 1970–2013: An exploration through selected parametric and non-parametric methods," Energy Economics, Elsevier, vol. 62(C), pages 404-410.
    2. Crowley, Patrick & Aaron, Schultz, 2010. "A New Approach to Analyzing Convergence and Synchronicity in Growth and Business Cycles: Cross Recurrence Plots and Quantification Analysis," MPRA Paper 23728, University Library of Munich, Germany.
    3. Burnett, J. Wesley, 2016. "Club convergence and clustering of U.S. energy-related CO2 emissions," Resource and Energy Economics, Elsevier, vol. 46(C), pages 62-84.
    4. Cai, Yifei & Chang, Tsangyao & Inglesi-Lotz, Roula, 2018. "Asymmetric persistence in convergence for carbon dioxide emissions based on quantile unit root test with Fourier function," Energy, Elsevier, vol. 161(C), pages 470-481.
    5. Bueno, José Luis Cendejas & Santos, Sonia de Lucas & Rodríguez, Ma Jesús Delgado & Ayuso, Inmaculada Álvarez, 2011. "Testing for structural breaks in factor loadings: An application to international business cycle," Economic Modelling, Elsevier, vol. 28(1), pages 259-263.
    6. Erwin Bulte & John A. List & Mark C. Strazicich, 2007. "Regulatory Federalism And The Distribution Of Air Pollutant Emissions," Journal of Regional Science, Wiley Blackwell, vol. 47(1), pages 155-178, February.
    7. Bai, Jushan & Ng, Serena, 2007. "Determining the Number of Primitive Shocks in Factor Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 52-60, January.
    8. Khan, Hashmat & Metaxoglou, Konstantinos & Knittel, Christopher R. & Papineau, Maya, 2019. "Carbon emissions and business cycles," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 1-19.
    9. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    10. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    11. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    12. James E. Payne & Stephanie Miller & Junsoo Lee & Myeong Hyeon Cho, 2014. "Convergence of per capita sulphur dioxide emissions across US states," Applied Economics, Taylor & Francis Journals, vol. 46(11), pages 1202-1211, April.
    13. James E. Payne, 2020. "The convergence of carbon dioxide emissions: a survey of the empirical literature," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(7), pages 1757-1785, April.
    14. Sevil Acar & Patrik Söderholm & Runar Brännlund, 2018. "Convergence of per capita carbon dioxide emissions: implications and meta-analysis," Climate Policy, Taylor & Francis Journals, vol. 18(4), pages 512-525, April.
    15. Gozgor, Giray & Tiwari, Aviral Kumar & Khraief, Naceur & Shahbaz, Muhammad, 2019. "Dependence structure between business cycles and CO2 emissions in the U.S.: Evidence from the time-varying Markov-Switching Copula models," Energy, Elsevier, vol. 188(C).
    16. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    17. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    18. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    19. Presno, María José & Landajo, Manuel & Fernández González, Paula, 2018. "Stochastic convergence in per capita CO2 emissions. An approach from nonlinear stationarity analysis," Energy Economics, Elsevier, vol. 70(C), pages 563-581.
    20. Wesley Burnett, J. & Madariaga, Jessica, 2017. "The convergence of U.S. state-level energy intensity," Energy Economics, Elsevier, vol. 62(C), pages 357-370.
    21. Clark, Peter K., 1989. "Trend reversion in real output and unemployment," Journal of Econometrics, Elsevier, vol. 40(1), pages 15-32, January.
    22. Li, Huanan & Mu, Hailin & Zhang, Ming & Gui, Shusen, 2012. "Analysis of regional difference on impact factors of China’s energy – Related CO2 emissions," Energy, Elsevier, vol. 39(1), pages 319-326.
    23. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil," Energy, Elsevier, vol. 36(5), pages 2450-2458.
    24. Andreoni, Valeria & Galmarini, Stefano, 2016. "Drivers in CO2 emissions variation: A decomposition analysis for 33 world countries," Energy, Elsevier, vol. 103(C), pages 27-37.
    25. Inglesi-Lotz, Roula, 2018. "Decomposing the South African CO2 emissions within a BRICS countries context: Signalling potential energy rebound effects," Energy, Elsevier, vol. 147(C), pages 648-654.
    26. Finn E. Kydland & Edward C. Prescott, 1990. "Business cycles: real facts and a monetary myth," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 14(Spr), pages 3-18.
    27. Donald W. K. Andrews, 2003. "Tests for Parameter Instability and Structural Change with Unknown Change Point: A Corrigendum," Econometrica, Econometric Society, vol. 71(1), pages 395-397, January.
    28. Payne, James E. & Vizek, Maruška & Lee, Junsoo, 2017. "Stochastic convergence in per capita fossil fuel consumption in U.S. states," Energy Economics, Elsevier, vol. 62(C), pages 382-395.
    29. Joseph E. Aldy, 2007. "Divergence in State-Level Per Capita Carbon Dioxide Emissions," Land Economics, University of Wisconsin Press, vol. 83(3), pages 353-369.
    30. McKitrick, Ross & Wood, Joel, 2013. "Co-fluctuation patterns of per capita carbon dioxide emissions: The role of energy markets," Energy Economics, Elsevier, vol. 39(C), pages 1-12.
    31. Zhang, Wenwen & Chiu, Yi-Bin, 2020. "Do country risks influence carbon dioxide emissions? A non-linear perspective," Energy, Elsevier, vol. 206(C).
    32. Apergis, Nicholas & Payne, James E., 2017. "Per capita carbon dioxide emissions across U.S. states by sector and fossil fuel source: Evidence from club convergence tests," Energy Economics, Elsevier, vol. 63(C), pages 365-372.
    33. Shahiduzzaman, Md. & Layton, Allan, 2015. "Changes in CO2 emissions over business cycle recessions and expansions in the United States: A decomposition analysis," Applied Energy, Elsevier, vol. 150(C), pages 25-35.
    34. Wu, Lifeng & Liu, Sifeng & Liu, Dinglin & Fang, Zhigeng & Xu, Haiyan, 2015. "Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model," Energy, Elsevier, vol. 79(C), pages 489-495.
    35. Hao, Yu & Liu, Yiming & Weng, Jia-Hsi & Gao, Yixuan, 2016. "Does the Environmental Kuznets Curve for coal consumption in China exist? New evidence from spatial econometric analysis," Energy, Elsevier, vol. 114(C), pages 1214-1223.
    36. Li, Xiao-Lin & Tang, D.P. & Chang, Tsangyao, 2014. "CO2 emissions converge in the 50 U.S. states — Sequential panel selection method," Economic Modelling, Elsevier, vol. 40(C), pages 320-333.
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    1. Freire-González, Jaume & Padilla Rosa, Emilio & Raymond, Josep Ll., 2024. "World economies’ progress in decoupling from CO₂ emissions," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(1).
    2. He, Weijun & Chen, Hao, 2022. "Will China's provincial per capita energy consumption converge to a common level over 1990–2017? Evidence from a club convergence approach," Energy, Elsevier, vol. 249(C).
    3. Vaseem Akram & Badri Narayan Rath & Pradipta Kumar Sahoo, 2024. "Club convergence in per capita carbon dioxide emissions across Indian states," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 19907-19934, August.
    4. María Jesús Delgado-Rodríguez & Sonia de Lucas-Santos & Alfredo Cabezas-Ares, 2021. "Short-Run Links in Ecological Footprint: A Dynamic Factor Analysis for the EU," Land, MDPI, vol. 10(12), pages 1-12, December.

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    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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