Stochastic convergence in per capita CO2 emissions. An approach from nonlinear stationarity analysis

Energy Economics

Volumn 70, Issue , 2018, Pages 563-581

  Presno, María José ^a   Landajo, Manuel ^a   Fernández González, Paula ^a  

^a UNIVERSITY OF OVIEDO   (Spain)

Author keywords

Per capita CO2 emissions; Quadratic trends; Smooth transition; Stationarity testing; Stochastic convergence; Structural change; convergence

Indexed keywords

REGRESSION ANALYSIS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

PER CAPITA; QUADRATIC TRENDS; SMOOTH TRANSITIONS; STATIONARITY; STOCHASTIC CONVERGENCE; STRUCTURAL CHANGE;

CARBON DIOXIDE;

CARBON DIOXIDE; CARBON EMISSION; CONVERGENCE; DEVELOPING WORLD; ENVIRONMENTAL ECONOMICS; GROSS DOMESTIC PRODUCT; OECD; STOCHASTICITY; STRUCTURAL CHANGE;

EID: 84952946706     PISSN: 01409883     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eneco.2015.10.001     Document Type: Article

References (31)

1. Aldy, J.E., Per capita carbon dioxide emissions: convergence or divergence. Environ. Resour. Econ. 33 (2006), 533–555.
2. Ben-David, D., Papell, D.H., The Great Wars, the Great Crash and steady state growth: some new evidence about an old stylized fact”. J. Monet. Econ. 36 (1995), 453–475.
3. Boden, T., Marland, G., Andres, B., Global, regional, and national CO2 emissions. In trends: A compendium of data on global change, 2012, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., U.S.A (Available online at http://cdiac.ornl.gov/trends/emis/em_cont.htm).
4. Camarero, M., Mendoza, Y., Ordóñez, J., Re-examining CO2 emissions. Is the assessment of convergence meaningless?”. Working Paper 2011/06, 2011, Universitat Jaume I.
5. Carlino, G.A., Mills, L., Are U.S. regional incomes converging? A time series analysis. J. Monet. Econ. 32:2 (1993), 335–346.
6. Carrion-i-Silvestre, J.L., German-Soto, V., Panel data stochastic convergence analysis of the Mexican regions. Empir. Econ. 37:2 (2009), 303–327.
7. European Council, Conclusions on 2030 Climate and Energy Policy Framework. Online at http://www.consilium.europa.eu/uedocs/cms_data/docs/pressdata/es/ec/145425.pdf S, 2013.
8. Fernández González, P., Landajo, M., Presno, M.J., The driving forces behind changes in CO2 emission levels in EU-27. Differences between member states. Environ. Sci. Pol. 38 (2014), 11–16.
9. 2 emission trends in the EU28 through LMDI decomposition: the activity revaluation approach. Energy 73 (2014), 741–750.
10. Grossman, G., Krueger, A., Economic growth and the environment. Q. J. Econ. 110:2 (1995), 353–377.
11. Harvey, D.I., Leybourne, S.J., Taylor, A.M.R., Robust methods for detecting multiple level breaks in autocorrelated time series. J. Econ. 157 (2010), 342–358.
12. IEA, World Energy Outlook 2011. 2011, International Energy Agency, OECD, Paris.
13. Kejriwal, M., Lopez, C., Unit roots, level shifts and trend breaks in per capita output; a robust evaluation. Econ. Rev. 32:8 (2013), 892–927.
14. Kejriwal, M., Perron, P., A sequential procedure to determine the number of breaks in trend with an integrated or stationary noise component. J. Time Ser. Anal. 31 (2010), 305–328.
15. Landajo, M., Presno, M.J., Stationarity testing under nonlinear models. Some asymptotic results. J. Time Ser. Anal. 31 (2010), 392–405.
16. Lanne, M., Liski, M., Trends and breaks in per-capita carbon dioxide emissions, 1870–2028. Energy J. 25 (2004), 41–65.
17. Lee, C., Chang, C., New evidence on the convergence of per capita carbon dioxide emissions from panel seemingly unrelated regressions augmented Dickey-Fuller tests. Energy 33 (2008), 1468–1475.
18. Lee, C., Chang, C., Stochastic convergence of per capita carbon dioxide emissions and multiple structural breaks in OECD countries. Econ. Model. 26 (2009), 1375–1381.
19. Li, Q., Papell, D.H., Convergence of international output: time series evidence for 16 OECD countries. Int. Rev. Econ. Financ. 8 (1999), 267–280.
20. Maddison, A., World population, GDP and per capita GDP, 1–2009 AD. Available online at http://www.ggdc.net/maddison/, 2010.
21. Newey, W., West, K., Automatic lag selection in covariance matrix estimation. Rev. Econ. Stud. 61 (1994), 631–653.
22. Perron, P., Yabu, T., Testing for shifts in trend with an integrated or stationary noise component. J. Bus. Econ. Stat. 27 (2009), 369–396.
23. Presno, M.J., Landajo, M., Fernández González, P., Non-renewable resource prices: A robust evaluation from the stationarity perspective. Resour. Energy Econ. 36 (2014), 394–416.
24. Schymura, M., Voigt, S., What drives changes in carbon emissions? An index decomposition approach for 40 countries. ZEW - Centre for European Economic Research, Discussion Paper 14-038, 2014.
25. Stegman, A., Convergence in per capita carbon emissions. Brookings Discussion Papers in International, Economics, 2005, 167.
26. Strazicich, M.C., List, J.A., Are CO2 emission levels converging among industrial countries?. Environ. Resour. Econ. 24 (2003), 263–271.
27. Tomljanovich, M., Vogelsang, T.J., Are US regions converging? Using new econometric methods to examine old issues. Empir. Econ. 27:1 (2002), 49–62.
28. United Nations, Eco-efficiency indicators: measuring resource-use efficiency and the impact of economic activities on the environment. Greening of Economic Growth Series, ST/ESCAP/2561, 2009.
29. United Nations Framework Convention on Climate Change, Kyoto Protocol. Online at http://unfccc.int/essential_background/kyoto_protocol/items/1678.php, 1997.
30. Westerlund, J., Basher, S.A., Testing for convergence in carbon dioxide emissions using a century of panel data. Environ. Resour. Econ. 40 (2008), 109–120.
31. Yavuz, N., Yilanci, V., Convergence in per capita carbon dioxide emissions among G7 countries: a TAR panel unit root approach. Environ. Resour. Econ. 54:2 (2013), 283–291.