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Short-Run Links in Ecological Footprint: A Dynamic Factor Analysis for the EU

Author

Listed:
  • María Jesús Delgado-Rodríguez

    (Department of Business Administration (ADO), Applied Economics II and Fundaments of Economic Analysis, Universidad Rey Juan Carlos de Madrid, Pº Artilleros s/n, 28670 Madrid, Spain)

  • Sonia de Lucas-Santos

    (Department of Applied Economics (Statistics), Ciudad Universitaria de Cantoblanco, Universidad Autónoma de Madrid, 28049 Madrid, Spain)

  • Alfredo Cabezas-Ares

    (Department of Business Administration (ADO), Applied Economics II and Fundaments of Economic Analysis, Universidad Rey Juan Carlos de Madrid, Pº Artilleros s/n, 28670 Madrid, Spain)

Abstract

The Ecological Footprint (EFP) is a useful indicator for assessing the progress of environmental performance and offers a solid basis for sustainability studies. In this paper, we contribute to the broadening of its possibilities of investigation by measuring the cross-country links in the EFP in global hectares per capita. The modeling framework is based on the dynamic factor analysis to estimate, in the parametric form, an index that provides information about the short-run dynamics of the EFP in the EU. Following this approach, we identify different patterns in the EFP behavior of the European countries during the period of 1962–2017. The results show stronger links across the EFP of the main European countries: France, Austria, Belgium, Germany, Denmark and the U.K. The proposed analysis gives a better understanding of the links behind environmental degradation in the EU and is applicable for the implementation and design of environmental policies.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:12:p:1372-:d:700414
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    References listed on IDEAS

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    1. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    2. 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).
    3. Stern, David I., 2014. "The Environmental Kuznets Curve: A Primer," Working Papers 249424, Australian National University, Centre for Climate Economics & Policy.
    4. Alfredo Cabezas-Ares & María Jesús Delgado-Rodríguez & Sonia de Lucas-Santos, 2020. "The Dynamics of Cyclical Convergence and Decoupling in the Environmental Performance of Spanish Regions," Sustainability, MDPI, vol. 12(20), pages 1-14, October.
    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. 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.
    7. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    8. 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.
    9. 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.
    10. Jing Guo & Jun Ren & Xiaotao Huang & Guifang He & Yan Shi & Huakun Zhou, 2020. "The Dynamic Evolution of the Ecological Footprint and Ecological Capacity of Qinghai Province," Sustainability, MDPI, vol. 12(7), pages 1-26, April.
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