Skip to main content
Log in

Spending for the Environment: General Government Expenditure Trends in Europe

  • Published:
Social Indicators Research Aims and scope Submit manuscript

Abstract

Are European Union countries converging towards a similar model of public spending for environmental protection? National spending policies for environmental protection might be the result of country specific circumstances and priorities, but also of a shared vision towards the achievement of environmental goals as member of the European Union, in compliance with European Directives. This paper aims to empirically investigate models of environmental expenditures at European level, looking at the composition of public expenditure for environmental protection. It also contributes to the debate on the efficacy of public spending in the environmental domain. Results reject the existence of a homogeneous model of expenditure for environmental protection at European level. Furthermore, higher level of environmental performance seem to be positively correlated with the public expenditures in the environmental domain and partially with the different composition of the expenditure.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Notes

  1. http://ec.europa.eu/eurostat/statistics-explained/index.php/Government_expenditure_on_environmental_protection.

  2. Environmental protection expenditure includes “all activities directly aimed at the prevention, reduction and elimination of pollution or any other degradation of the environment” (Eurostat 2016, available at: http://ec.europa.eu/eurostat/cache/metadata/en/env_ac_exp1r2_esms.htm).

  3. The detailed structure and explanatory notes for the General Expenditure classified according to COFOG categories are described by the Statistics Division of the United Nations at the following link: http://unstats.un.org/unsd/cr/registry/regcst.asp?Cl=4.

  4. Czech Republic presents some negative values for NEC category due to the sale of carbon trading rights in 2009. More detail on Eurostat metadata at http://ec.europa.eu/eurostat/cache/metadata/en/gov_a_exp_esms.htm.

  5. The Environmental Performance Index is a project lead by the Yale Center for Environmental Law & Policy and Yale Data-Driven Environmental Solutions Group at Yale University, in collaboration with the Samuel Family Foundation, McCall MacBain Foundation, and the World Economic Forum.

  6. These variables have different sources. EPI is extracted by http://epi.yale.edu/; GDP and EXP are extracted from Eurostat database http://ec.europa.eu/eurostat/data/database.

  7. GHG is extracetd from OECD.stat https://stats.oecd.org/Index.aspx?DataSetCode=AIR_GHG.

  8. The reference cluster is represented by the cluster 3 which includes Netherlands only.

  9. The source of the covariates is Eurostat.

  10. OECD database does not report GHG index for Malta and Cyprus.

References

  • Abdi, H. (2010). Coefficient of variation. Encyclopedia of Research Design, 1, 169–171.

    Google Scholar 

  • Abraham, A., Hassanien, A. E., & Sná, V. (2009). Foundations of computational intelligence: Volume 6: Data mining (Vol. 6). Berlin: Springer.

    Google Scholar 

  • Apergis, N., Christou, C., & Hassapis, C. (2013). Convergence in public expenditures across EU countries: Evidence from club convergence. Economics and Finance Research: An Open Access Journal, 1(1), 45–59.

    Article  Google Scholar 

  • Awasthi, A., Lechevallier, Y., Parent, M., & Proth, J. M. (2006). Using hybrid clustering to approximate fastest paths on urban networks. Journal of Data Science, 4(1), 39–66.

    Google Scholar 

  • Barro, R. J., & Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223–251.

    Article  Google Scholar 

  • Berenson, M., Levine, D., Szabat, K. A., & Krehbiel, T. C. (2012). Basic business statistics: Concepts and applications. London: Pearson Higher Education.

    Google Scholar 

  • Börzel, T. A. (2000). Why there is no southern problem. On environmental leadersand laggards. Journal of European Public Policy, 7(1), 141–162.

    Article  Google Scholar 

  • Börzel, T. A. (2003). Environmental leaders and laggards in Europe: Why there is (not) a southern problem. Ashgate Publishing, Ltd.

  • Busch, P. O., & Jörgens, H. (2005). The international sources of policy convergence: Explaining the spread of environmental policy innovations. Journal of European public policy, 12(5), 860–884.

    Article  Google Scholar 

  • Cooley, W. W., & Lohnes, P. R. (1971). Multivariate data analysis. Hoboken: Wiley.

    Google Scholar 

  • Costantini, V., Crespi, F., & Palma, A. (2017). Characterizing the policy mix and its impact on eco-innovation: A patent analysis of energy-efficient technologies. Research Policy, 46(4), 799–819.

    Article  Google Scholar 

  • De Simone, E., Ercolano, S., & Gaeta, G. L. (2012). Exploring public social expenditure trends in the globalization era. European Research Studies Journal, 15(1), 23–42.

    Google Scholar 

  • Ercolano, S., & Romano, O. (2013). Who makes the most? Measuring the “urban environmental virtuosity”. Social Indicators Research, 112(3), 709–724.

    Article  Google Scholar 

  • European Commission. (2009). Report on public finances in EMU. European Economy.

  • Eurostat. (2013). The environmental protection expenditure. http://epp.eurostat.ec.europa.eu/statistics_explained/index.php/Environmental_protection_expenditure.

  • Everitt, B. S. (1974). Cluster analysis. New York: Wiley.

    Google Scholar 

  • Ferreiro, J., del Valle, M. G., & Gomez, C. (2012). Similarities and differences in the composition of public expenditures in the European Union. Journal of Economic Issues, 46(3), 633–660.

    Article  Google Scholar 

  • Ferreiro, J., García-del-Valle, M. T., & Gómez, C. (2010). Social preferences and fiscal policies: An analysis of the composition of public expenditures in the European Union. Journal of Post Keynesian Economics, 32(3), 347–370.

    Article  Google Scholar 

  • Ferreiro, J., García-del-Valle, M. T., & Gómez, C. (2013). An analysis of the convergence of the composition of public expenditures in European Union Countries. American Journal of Economics and Sociology, 72(4), 799–825.

    Article  Google Scholar 

  • Gunningham, N., & Sinclair, D. (1999). Regulatory pluralism: Designing policy mixes for environmental protection. Law and Policy, 21(1), 49–76.

    Article  Google Scholar 

  • Gupta, S., & Miranda, K. (1995). Public expenditure policy and the environment: A review and synthesis. World Development, 23(3), 515–528.

    Article  Google Scholar 

  • Hansen, P., & Jaumard, B. (1997). Cluster analysis and mathematical programming. Mathematical Programming, 79, 191–215.

    Google Scholar 

  • Heichel, S., Pape, J., & Sommerer, T. (2005). Is there convergence in convergence research? An overview of empirical studies on policy convergence. Journal of European Public Policy, 12(5), 817–840.

    Article  Google Scholar 

  • Héritier, A., Kerwer, D., Knill, C., Lehmkuhl, D., Teutsch, M., & Douillet, A. C. (2001). Differential Europe-new opportunities and restrictions for policy making in member states. In A. Héritier et al. (Eds.), Differential Europe: European Union impact on national policy-making. Boulder, CO: Rowman and Littlefield.

    Google Scholar 

  • Holzinger, K., & Knill, C. (2008). The interaction of competition, co-operation and communication: Theoretical analysis of different sources of environmental policy convergence. Journal of Comparative Policy Analysis, 10(4), 403–425.

    Article  Google Scholar 

  • Holzinger, K., Knill, C., & Sommerer, T. (2008). Environmental policy convergence: The impact of international harmonization, transnational communication, and regulatory competition. International Organization, 62(04), 553–587.

    Article  Google Scholar 

  • Holzinger, K., & Sommerer, T. (2011). Race to the bottom or race to brussels? Environmental competition in Europe. Journal of Common Market Studies, 49(2), 315–339.

    Article  Google Scholar 

  • Jackson, J. E. (2003). A user’s guide to principal component. Hoboken: Wiley.

    Google Scholar 

  • Jolliffe, F. R. (1986). Survey design and analysis. Cambridge: Ellis Horwood.

    Google Scholar 

  • Jörgens, H., Lenschow, A., & Liefferink, D. (2014). Understanding environmental policy convergence. The power of words, rules and money. Cambridge: Cambridge University Press.

    Google Scholar 

  • Kern, F., & Howlett, M. (2009). Implementing transition management as policy reforms: A case study of the Dutch energy sector. Policy Sciences, 42(4), 391.

    Article  Google Scholar 

  • Klein, G., & Aronson, J. E. (1991). Optimal clustering: A model and method. Naval Research Logistics, 38, 447–461.

    Article  Google Scholar 

  • Knill, C. (2005). Introduction: Cross-national policy convergence: Concepts, approaches and explanatory factors. Journal of European Public Policy, 12(5), 764–774.

    Article  Google Scholar 

  • La Spina, A., & Sciortino, G. (1993). Common agenda, Southern rules: European integration and environmental change in the Mediterranean states. In J. D. Liefferink, P. D. Lowe, & A. P. J. Moll (Eds.), European integration and environmental policy (pp. 216–234). London: Belhaven Press.

    Google Scholar 

  • Lehmann, P. (2012). Justifying a policy mix for pollution control: A review of economic literature. Journal of Economic Surveys, 26(1), 71–97.

    Article  Google Scholar 

  • Magone, J. (2010). Contemporary European politics: A comparative introduction. London: Routledge.

    Google Scholar 

  • Mandl, U., Dierx, A., Ilzkovitz, F. (2008). The effectiveness and efficiency of public spending (No. 301). Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.

  • Meila, M., Heckerman, D.(1998). An experimental comparison of several clustering and initialization methods. In Proceedings of the Uncertainty in Artificial Intelligence (pp. 386–395).

  • OECD. (2008a). Handbook on constructing composite indicators: Methodology and user guide. Paris: OECD Publishing.

    Google Scholar 

  • OECD. (2008b). OECD environmental performance reviews: Hungary 2008. Paris: OECD Publishing.

    Google Scholar 

  • OECD. (2008c). Key environmental indicators. Paris: OECD Publishing.

    Google Scholar 

  • Pearce, D., & Palmer, C. (2001). Public and private spending for environmental protection: A cross-country policy analysis. Fiscal Studies, 22(4), 403–456.

    Article  Google Scholar 

  • Pearson, K. (1901). Principal components analysis. The London, Edinburgh and Dublin Philosophical Magazine and Journal, 6(2), 566.

    Google Scholar 

  • Ring, I., & Schröter-Schlaack, C. (2011). Instrument mixes for biodiversity policies. Leipzig: Helmholtz Centre for Environmental Research.

    Google Scholar 

  • Sanz, I., & Velázquez, F. J. (2004). The evolution and convergence of the government expenditure composition in the OECD countries. Public Choice, 119(1–2), 61–72.

    Article  Google Scholar 

  • Shlens, J. (2005). A tutorial on principal component analysis. Salk Insitute for Biological Studies La Jolla: Systems Neurobiology Laboratory.

    Google Scholar 

  • Srebotnjak, T. (2008). Environmental performance index. Encyclopedia of Quantitative Risk Analysis and Assessment.

  • Starke, P., Obinger, H., & Castles, F. G. (2008). Convergence towards where: In what ways, if any, are welfare states becoming more similar? Journal of European Public Policy, 15(7), 975–1000.

    Article  Google Scholar 

  • Stathis, D., & Myronidis, D. (2009). Principal component analysis of precipitation in Thessaly region (Central Greece). Global NEST Journal, 11(4), 467–476.

    Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Needham Height, MA: Allyn & Bacon.

    Google Scholar 

  • Ward, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58, 236–244.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Salvatore Ercolano.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ercolano, S., Romano, O. Spending for the Environment: General Government Expenditure Trends in Europe. Soc Indic Res 138, 1145–1169 (2018). https://doi.org/10.1007/s11205-017-1695-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11205-017-1695-0

Keywords

JEL Classification

Navigation