Geographical location and key sensitivity issues of post-industrial regions in Europe
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Primary objectives of our work were to spatially delineate post industrial areas of the EU-27 and indicate key environmental, social and economic sensitivity issues for these regions. The density of industrial sites within NUTS-x regions for EU-27 countries was assessed by using CORINE 2000 land cover layer. A development of postindustrial society in Europe represents a strong geographic diversity. There are distinct historical and current differences between regions which form major groups, comprising similar internal characteristics and definable trends in environmental and socioeconomic sense. Regions grouped into postindustrial clusters are fundamentally different from the European average, and are facing specific problems related to global market and political changes. Eastern postindustrial regions can be characterized as socially and economically weak, exhibiting high unemployment rate, low GDP, negative population growth and a strong environmental pressure, represented by a high density of dump sites. Most of the western EU postindustrial areas have been successfully recovered and moved into new economy as shown by most of the indicators. In urban postindustrial zones, however, emission sources of pollutants seem to continually be a major problem—not necessarily in terms of exceeding thresholds, but through a remarkable difference in the amount of pollutants produced relative to other regions.
KeywordsCluster Dump site Economic variables Emissions Environmental variables Post-industrial regions Sensitivity Social variables Unemployment
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- Brand, R., Pulles, T., van Gijlswijk, R., Fribourg-Blanc, B., & Courbet, C. (2004). European Pollutant Emission Register (EPER) review report. (European Commission).Google Scholar
- ERDAS (1999). Erdas Imagine 8.4 tour guides. Atlanta, Georgia: Erdas Inc.Google Scholar
- European Commission (2000). From land cover to landscape diversity in the European Union. http://ec.europa.eu/comm/agriculture/publi/landscape/index.htm.
- European Commission (2002). Commission Communication COM (2002) 276 final of 05.06.2002: Communication from the commission on Impact Assessment.(EC).Google Scholar
- European Commission (2004). Working Group on contamination. Vol. I. Executive summary, strategic overview and status of soil contamination. Final report, May 2004, (EC-DG Environment).Google Scholar
- European Commission (2005). Impact Assessment Guidelines http://europa.eu.int/comm/secretariat_general/impact/docs/SEC2005_791_IAguidelines_annexes.pdf.
- European Commission DG JRC (2005). IMAGE 2000 and CLC 2000 Products and methods. Nunes de Lima M.V. (Ed.) (European Commission).Google Scholar
- Ferber U., & Grimski D. (2002). Brownfields and redevelopment of urban areas. CLARINET report. (Austrian Federal Environment Agency).Google Scholar
- Ferguson, C., Darmendrail, D., Freier, K., Jensen, B.K., Jensen, J. Kasamas, H., et al. (Eds.) (1998). Risk Assessment or Contaminated Sites in Europe. Volume 1. Scientific Basis. CARACAS report. (LQM Press, Nottingham).Google Scholar
- Grimski, D., & Ferber, U. (2001). Urban brownfields in Europe. Land Contamination & Reclamation, 9, 143–148.Google Scholar
- Kasamas, H., Kiss, G., Moser, B., Schamann, M., Spausta, G., & Wepner, M. (2001). Proceedings of the CLARINET Final Conference Sustainable Management of Contaminated Land, 21–22 June 2001, Vienna, Austria. (Federal Environment Agency—Austria).Google Scholar
- McGarigal, K., & Marks, B. (1994). Fragstats—Spatial pattern analysis program for quantifying landscape structure. Corvallis: Forest Science Department, Oregon State University.Google Scholar
- Oliver, L., Ferber, U., Grimski, D., Millar, K., & Nathanail, P. (2005). The scale and nature of European brownfields. Cabernet (Concerted Action on Brownfield and Economic Regeneration Network) resources www.cabernet.org.uk. (in press).
- Simons, R. A. (1998). Turning brownfields into greenbacks. Washington, DC: Urban Land Institute.Google Scholar
- StatSoft (2005). Statistica data miner. Tulsa, OK: StatSoft.Google Scholar
- UNSNA (1993). The System of National Accounts 1993.Google Scholar