IDEAS home Printed from https://ideas.repec.org/p/irn/wpaper/07-01.html
   My bibliography  Save this paper

Temporal and spatial homogeneity in air pollutants panel EKC estimations: Two nonparametric tests applied to Spanish provinces

Author

Listed:
  • Carlos Ordás Criado

Abstract

Although panel data have been used intensively by a wealth of studies investigating the GDP-pollution relationship, the poolability assumption used to model these data is almost never addressed. This paper applies a strategy to test the poolability assumption with methods robust to functional misspecification. Nonparametric poolability tests are performed to check the temporal and spatial homogeneity of the panel and their results are compared with the conventional F-tests for a balanced panel of 48 Spanish provinces on four air pollutant emissions (CH4, CO, CO2 and NMVOC) over the 1990-2002 period. We show that temporal homogeneity may allow the pooling of the data and drive to well-defined nonparametric and parametric cross-sectional U-inverted shapes for all air pollutants. However, the presence of spatial heterogeneity makes this shape compatible with different timeseries patterns in every province - mainly increasing or decreasing depending on the pollutant. These results highlight the extreme sensitivity of the income-pollution relationship to region- or country-specific factors.

Suggested Citation

  • Carlos Ordás Criado, 2007. "Temporal and spatial homogeneity in air pollutants panel EKC estimations: Two nonparametric tests applied to Spanish provinces," IRENE Working Papers 07-01, IRENE Institute of Economic Research.
  • Handle: RePEc:irn:wpaper:07-01
    as

    Download full text from publisher

    File URL: https://www5.unine.ch/RePEc/ftp/irn/pdfs/WP07-01.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. de Bruyn, S. M. & van den Bergh, J. C. J. M. & Opschoor, J. B., 1998. "Economic growth and emissions: reconsidering the empirical basis of environmental Kuznets curves," Ecological Economics, Elsevier, vol. 25(2), pages 161-175, May.
    2. Maindonald, John, 2006. "Generalized Additive Models: An Introduction with R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 16(b03).
    3. Azomahou, Theophile & Laisney, Francois & Nguyen Van, Phu, 2006. "Economic development and CO2 emissions: A nonparametric panel approach," Journal of Public Economics, Elsevier, vol. 90(6-7), pages 1347-1363, August.
    4. Daniel L. Millimet & John A. List & Thanasis Stengos, 2003. "The Environmental Kuznets Curve: Real Progress or Misspecified Models?," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1038-1047, November.
    5. David I. Stern, 2012. "Ecological Economics," Crawford School Research Papers 1203, Crawford School of Public Policy, The Australian National University.
    6. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    7. Brian R. Copeland & M. Scott Taylor, 2004. "Trade, Growth, and the Environment," Journal of Economic Literature, American Economic Association, vol. 42(1), pages 7-71, March.
    8. Taskin, Fatma & Zaim, Osman, 2000. "Searching for a Kuznets curve in environmental efficiency using kernel estimation," Economics Letters, Elsevier, vol. 68(2), pages 217-223, August.
    9. Bertinelli, Luisito & Strobl, Eric, 2005. "The Environmental Kuznets Curve semi-parametrically revisited," Economics Letters, Elsevier, vol. 88(3), pages 350-357, September.
    10. Richard Schmalensee & Thomas M. Stoker & Ruth A. Judson, 1998. "World Carbon Dioxide Emissions: 1950-2050," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 15-27, February.
    11. Brock, William A. & Taylor, M. Scott, 2005. "Economic Growth and the Environment: A Review of Theory and Empirics," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 28, pages 1749-1821, Elsevier.
    12. Elbert Dijkgraaf & Herman Vollebergh, 2005. "A Test for Parameter Homogeneity in CO 2 Panel EKC Estimations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(2), pages 229-239, October.
    13. Nguyen Van, Phu & Azomahou, Theophile, 2007. "Nonlinearities and heterogeneity in environmental quality: An empirical analysis of deforestation," Journal of Development Economics, Elsevier, vol. 84(1), pages 291-309, September.
    14. Roger Perman & David I. Stern, 2003. "Evidence from panel unit root and cointegration tests that the Environmental Kuznets Curve does not exist," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(3), pages 325-347, September.
    15. List, John A. & Gallet, Craig A., 1999. "The environmental Kuznets curve: does one size fit all?," Ecological Economics, Elsevier, vol. 31(3), pages 409-423, December.
    16. Roca, Jordi & Padilla, Emilio & Farre, Mariona & Galletto, Vittorio, 2001. "Economic growth and atmospheric pollution in Spain: discussing the environmental Kuznets curve hypothesis," Ecological Economics, Elsevier, vol. 39(1), pages 85-99, October.
    17. Koop, Gary & Tole, Lise, 1999. "Is there an environmental Kuznets curve for deforestation?," Journal of Development Economics, Elsevier, vol. 58(1), pages 231-244, February.
    18. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    19. Vollebergh, H.R.J. & Dijkgraaf, E. & Melenberg, B., 2005. "Environmental Kuznets Curves for CO2 : Heterogeneity Versus Homogeneity," Other publications TiSEM f0eaa75c-2345-484c-82b9-e, Tilburg University, School of Economics and Management.
    20. Selden Thomas M. & Song Daqing, 1994. "Environmental Quality and Development: Is There a Kuznets Curve for Air Pollution Emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 27(2), pages 147-162, September.
    21. Heil, Mark T. & Selden, Thomas M., 2001. "Carbon emissions and economic development: future trajectories based on historical experience," Environment and Development Economics, Cambridge University Press, vol. 6(1), pages 63-83, February.
    22. Baltagi, Badi H. & Hidalgo, Javier & Li, Qi, 1996. "A nonparametric test for poolability using panel data," Journal of Econometrics, Elsevier, vol. 75(2), pages 345-367, December.
    23. Yatchew,Adonis, 2003. "Semiparametric Regression for the Applied Econometrician," Cambridge Books, Cambridge University Press, number 9780521812832.
    24. De GROOT, HENRI L.F. & WITHAGEN, CEES A. & MINLIANG, ZHOU, 2004. "Dynamics of China's regional development and pollution: an investigation into the Environmental Kuznets Curve," Environment and Development Economics, Cambridge University Press, vol. 9(4), pages 507-537, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ian Christensen & Fuchun Li, 2013. "A Semiparametric Early Warning Model of Financial Stress Events," Staff Working Papers 13-13, Bank of Canada.
    2. Salvati Luca, 2013. "Land Quality, Development and Space: Does Scale Matter?," European Spatial Research and Policy, Sciendo, vol. 20(2), pages 99-112, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carlos Ordás Criado, 2008. "Temporal and Spatial Homogeneity in Air Pollutants Panel EKC Estimations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(2), pages 265-283, June.
    2. He, Jie & Richard, Patrick, 2010. "Environmental Kuznets curve for CO2 in Canada," Ecological Economics, Elsevier, vol. 69(5), pages 1083-1093, March.
    3. Azomahou, Theophile & Laisney, Francois & Nguyen Van, Phu, 2006. "Economic development and CO2 emissions: A nonparametric panel approach," Journal of Public Economics, Elsevier, vol. 90(6-7), pages 1347-1363, August.
    4. Bennedsen, Mikkel & Hillebrand, Eric & Jensen, Sebastian, 2023. "A neural network approach to the environmental Kuznets curve," Energy Economics, Elsevier, vol. 126(C).
    5. Neophyta Empora, 2017. "Air pollution spillovers and U.S. state productivity growth," University of Cyprus Working Papers in Economics 06-2017, University of Cyprus Department of Economics.
    6. Nektarios Aslanidis, 2009. "Environmental Kuznets Curves for Carbon Emissions: A Critical Survey," Working Papers 2009.75, Fondazione Eni Enrico Mattei.
    7. Jie He, 2007. "Is the Environmental Kuznets Curve hypothesis valid for developing countries? A survey," Cahiers de recherche 07-03, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    8. Nguyen Van, Phu & Azomahou, Theophile, 2007. "Nonlinearities and heterogeneity in environmental quality: An empirical analysis of deforestation," Journal of Development Economics, Elsevier, vol. 84(1), pages 291-309, September.
    9. Empora, Neophyta & Mamuneas, Theofanis P. & Stengos, Thanasis, 2020. "Output and pollution abatement in a U.S. state emission function," Environment and Development Economics, Cambridge University Press, vol. 25(1), pages 44-65, February.
    10. Mikkel Bennedsen & Eric Hillebrand & Sebastian Jensen, 2022. "A Neural Network Approach to the Environmental Kuznets Curve," CREATES Research Papers 2022-09, Department of Economics and Business Economics, Aarhus University.
    11. Aslanidis Nektarios, 2009. "Environmental Kuznets curves for carbon emissions: A critical survey," wp.comunite 0051, Department of Communication, University of Teramo.
    12. Massimiliano Mazzanti & Anna Montini & Roberto Zoboli, 2007. "Economic Dynamics, Emission Trends and the EKC Hypothesis New Evidence Using NAMEA and Provincial Panel Data for Italy," Working Papers 2007.24, Fondazione Eni Enrico Mattei.
    13. Miguel Rodríguez & Yolanda Pena-Boquete, 2013. "Mishandling carbon intensities," Working Papers 1302, Universidade de Vigo, Departamento de Economía Aplicada.
    14. Roxana Pincheira & Felipe Zuniga, 2021. "Environmental Kuznets curve bibliographic map: a systematic literature review," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1931-1956, April.
    15. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    16. Yang, Haisheng & He, Jie & Chen, Shaoling, 2015. "The fragility of the Environmental Kuznets Curve: Revisiting the hypothesis with Chinese data via an “Extreme Bound Analysis”," Ecological Economics, Elsevier, vol. 109(C), pages 41-58.
    17. Vollebergh, Herman R.J. & Melenberg, Bertrand & Dijkgraaf, Elbert, 2009. "Identifying reduced-form relations with panel data: The case of pollution and income," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 27-42, July.
    18. Alexandra Soberon & Irene D’Hers, 2020. "The Environmental Kuznets Curve: A Semiparametric Approach with Cross-Sectional Dependence," JRFM, MDPI, vol. 13(11), pages 1-23, November.
    19. Christoph Lieb, 2004. "The Environmental Kuznets Curve and Flow versus Stock Pollution: The Neglect of Future Damages," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 29(4), pages 483-506, December.
    20. Marzio Galeotti & Matteo Manera & Alessandro Lanza, 2006. "On the Robustness of Robustness Checks of the Environmental Kuznets Curve," Working Papers 2006.22, Fondazione Eni Enrico Mattei.

    More about this item

    Keywords

    Environmental Kuznets Curve; Air pollutants; Non/Semiparametric estimations; Poolability tests;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:irn:wpaper:07-01. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Siwar Khelifa (email available below). General contact details of provider: https://edirc.repec.org/data/irenech.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.