Quality & Quantity

, Volume 50, Issue 5, pp 2313–2329 | Cite as

An Analytic Hierarchy Process (AHP) framework for property valuation to identify the ideal 2050 portfolio mixes in EU-27 countries with shrinking populations

  • Roberto Cervelló-Royo
  • Francisco Guijarro
  • Thomas Pfahler
  • Marion Preuss


This paper presents a new methodology to evaluate the development trends of the residential trade and industry up until 2050. In the first step available data are analysed for the period 1970–2050. In the second step an expert assessment based on the Analytic Hierarchy Process (AHP) methodology is integrated to reflect the estimation of various expert forecasts of the future. The AHP methodology is based on different variables in the fields of demographic, social-environmental as well as build-quality characteristics to imply a widespread perception of the portfolio mix of habitations in 2050. There will mainly be a focus on several EU-27 countries with potential future-shrinking populations like Bulgaria, Estonia, Germany, Hungary, Latvia, Lithuania, Poland, Romania and Slovakia. Furthermore, they will be compared with Spain whose population is expected to increase.


Analytic Hierarchy Process European Union 27 2050 real estate portfolio Demographic development Social-environmental development 



We want to thank the reviewer for the suggestions he/she made that help us to improve the first draft of this paper.


  1. Aczél, J., Saaty, T.: Procedures for synthesizing ratio judgements. J. Math. Psychol. 27, 93–102 (1983)CrossRefGoogle Scholar
  2. Afshari, M., Mafi, E.: Land capability assessment for regional planning using AHP and GIS at Shandiz Urban Region, Northeast Iran. Environ. Urban. ASIA 5(1), 105–118 (2014)CrossRefGoogle Scholar
  3. Aguarón, J., Escobar, M.T., Moreno-Jiménez, J.M.: The precise consistency consensus matrix in a local AHP-group decision making context. Annal. Operat. Res. 4, 1–15 (2014)Google Scholar
  4. Aznar, J., Caballer, V.: An application of the analytic hierarchy process method in farmland appraisal. Span. J. Agric. Res. 3(1), 17–24 (2005)CrossRefGoogle Scholar
  5. Aznar, J., Cervelló, R., Romero, A.: New spanish banking conglomerates. Application of the analytic hierarchy process (AHP) to their market value. Int. Res. J. Financ. Econ. 78, 70–82 (2011a)Google Scholar
  6. Aznar, J., Ferrís-Oñate, J., Guijarro, F.: An ANP framework for property pricing combining quantitative and qualitative attributes. J. Oper. Res. Soc. 61, 740–755 (2010)CrossRefGoogle Scholar
  7. Aznar, J., Guijarro, F., Moreno-Jiménez, J.M.: Mixed valuation methods: a combined AHP-GP procedure for individual and group multicriteria agricultural valuation. Ann. Oper. Res. 190, 221–238 (2011b)CrossRefGoogle Scholar
  8. Boulmier, M.: Meeting the needs of an ageing population-a challenge for our collective consciousness and public policies. In: CECODHAS (ed.) Preparing the Future-Affordable Housing and the Challenge of an Ageing Population in Europe-Success Stories, pp. 6–8. Publications Office of CECODHAS Housing Europe, Brussels (2012)Google Scholar
  9. Cambra-Fierro, J., Hart, S.J., Polo-Redondo, Y., Fuster-Mur, A.: Market and learning orientation in times of turbulence: relevance questioned? An analysis using a multi-case study. Qual. Quant. 46(3), 855–871 (2011)CrossRefGoogle Scholar
  10. CECODHAS Housing Europe (eds): Welfare Transformation and Demographic Change in Europe: Challenges for the Social Housing Sector. Publications Office of CECODHAS Housing Europe, Brussels (2007)Google Scholar
  11. CECODHAS Housing Europe (eds): Housing Europe Review 2012-The Nuts and Bolts of European Social Housing Systems. Publications Office of CECODHAS Housing Europe, Brussels (2011)Google Scholar
  12. CECODHAS Housing Europe (eds): Preparing the Future—Affordable Housing and the Challenge of an Ageing Population in Europe—success Stories. Publications Office of CECODHAS Housing Europe, Brussels (2012)Google Scholar
  13. Chang, C., Ku, C., Ho, H., Liao, C.: A MCGP decision aid for homebuyers to make the best choice. Qual. Quant. 45, 969–983 (2011)CrossRefGoogle Scholar
  14. Chauhan, K., Shah, N., Rao, V.: The analytic hierarchy process as a decision-support system in the housing sector: a case study. World Appl. Sci. J. 3(4), 609–613 (2008)Google Scholar
  15. Clayton, J., MacKinnon, G.: The time-varying nature of the link between REIT, real estate and financial asset return. J. R. Estat. Portf. Manag. 7(1), 43–54 (2001)Google Scholar
  16. Din, A., Hoesli, M., Bender, A.: Environmental variables and real estate prices. Urban Stud. 38(11), 1989–2000 (2001)CrossRefGoogle Scholar
  17. European Commission (ed.): The 2012 Ageing Report—Economic and Budgetary Projections for the 27 EU Member States (2010–2060). Publications Office of the European Union, Brussels (2012)Google Scholar
  18. Eurostat (eds): Europa in Zahlen—Eurostat Jahrbuch 2010. Publications Office of the European Union, Brussels (2010)Google Scholar
  19. Eurostat (eds): Demography Report 2010—Older, More Numerous and Diverse Europeans. Publications Office of the European Union, Luxembourg (2011)Google Scholar
  20. Eurostat (eds): Focus on Territorial Typologies. Publications Office of the European Union, Brussels (2012a)Google Scholar
  21. Eurostat (eds): Europe in Figures—Eurostat Yearbook 2012. Publications Office of the European Union, Brussels (2012b)Google Scholar
  22. Eurostat (eds): Figures for the Future-20 years of Sustainable Development in Europe? A guide for citizens. Publications Office of the European Union, Brussels (2012c)Google Scholar
  23. Geohive (eds): Urban/Rural Division of Countries for 2010. (2010)
  24. Gibb, K., Hoesli, M.: Developments in Urban housing and property markets. Urban Stud. 40(5–6), 887–896 (2003)CrossRefGoogle Scholar
  25. Gómez-Navarro, T., Garcia-Melón, M., Diaz-Martin, D., Acuna-Dutra, S.: Evaluation of urban development proposals—An ANP approach. Int. J. Hum. Soc. Sci. 4(7), 1–11 (2009)Google Scholar
  26. Hoesli, M., Hamelink, F.: What factors determine international real estate security returns? R. Estat. Econ. 32(3), 437–462 (2004)CrossRefGoogle Scholar
  27. Hoesli, M., Lekander, J.: Real estate portfolio strategy and product innovation in Europe. J. Prop. Invest. Financ. 26(2), 162–176 (2008)CrossRefGoogle Scholar
  28. Hoesli, M., Lekander, J., Witkiewicz, W.: International Evidence on Real Estate as a Portfolio Diversifier. J. R. Estat. Res. 26(2), 161–206 (2004)Google Scholar
  29. HSBC Global Research (eds): The World in 2050. Publications Office of HSBC Global Research, London (2012)Google Scholar
  30. Khumpaisal, S., Chen, Z.: Risks Assessment in Real Estate Development: An Application of Analytic Network Process. Printed version of the School of Built Environment. Liverpool John Moores University, 1–26 (2007)Google Scholar
  31. Lachman, L.: Global Demographics and their Real Estate Investment Implications. Publications Office of the Urban Land Institute, Washington (2006)Google Scholar
  32. Lynn, D.: Active Private Equity Real Estate Strategy. John Wiley & Sons Inc, New Jersey (2009)Google Scholar
  33. Maurer, R., Reiner, F., Rogalla, R.: Return and risk of German open-end real estate funds. J. Prop. Res. 21(3), 209–233 (2004)CrossRefGoogle Scholar
  34. Ministry of the Interior and Kingdom Relations (eds): Housing Statistics in the European Union. Publicatons Office of the Ministry of the Interior and Kingdom Relations, Delft (2010)Google Scholar
  35. Moulaert, F., Martinelli, F., González, S., Swyngedouw, E.: Introduction: social innovation and governance in European cities—Urban development between path dependency and radical innovation. Eur. Urban Reg. Stud. 14(3), 195–209 (2007)CrossRefGoogle Scholar
  36. Novy, A., Redak, V., Jäger, J., Hamedinger, A.: The end of red vienna: recent ruptures and continuities in Urban governance. Eur. Urban Reg. Stud. 8(2), 131–144 (2001)CrossRefGoogle Scholar
  37. OECD (eds): OECD Environmental Outlook to 2050—The Consequences of Inaction. OECD publications, Paris (2012)Google Scholar
  38. Patrizia Research AG (eds): Residential Market Report Europe 2010/2011. Publications Office of the Patrizia Research AG, Augsburg (2012)Google Scholar
  39. Philippas, N., Economou, F., Babalos, V., Kostakis, A.: Herding behavior in REITs: Novel tests and the role of financial crisis. Int. Rev. Financ. Anal. 29, 166–174 (2013)CrossRefGoogle Scholar
  40. Rodríguez, A., Martínez, E., Guenaga, G.: Uneven redevelopment—new Urban policies and socio-spatial fragmentation in metropolitan bilbao. Eur. Urban Reg. Stud. 8(2), 161–178 (2001)CrossRefGoogle Scholar
  41. Saaty, T.L.: Decision Making for Leaders. RWS Publications, Pittsburgh (1990)Google Scholar
  42. Saaty, T.L.: Making and validating complex decisions with the AHP/ANP. J. Syst. Sci. Syst. Eng. 14(1), 1–36 (2005)CrossRefGoogle Scholar
  43. Saaty, T.L.: Theory and Applications of the Analytic Network Process—Decision Making with Benefits, Opportunities, Costs and Risks. RWS Publications, Pittsburgh (2009)Google Scholar
  44. Saaty, T.L., Vargas, L.: Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. Kluwer Academic Publishers, Stanford (2001)CrossRefGoogle Scholar
  45. Sarathy, P.: TQM practice in real-estate industry using AHP. Qual. Quant. 47, 2049–2063 (2013)CrossRefGoogle Scholar
  46. Schoenmaeckers, R., Kotowska, I.: Population ageing and its challenges to social policy: study prepared for the European population conference 2005. Popul. Stud. 2005(50), 1–178 (2005)Google Scholar
  47. Stephen, L., Simon, S.: The case for REITs in the mixed-asset portfolio in the short and long run. J. R. Estat. Portf. Manag. 11(1), 55–80 (2005)Google Scholar
  48. UNFPA-United Nations Populations Fund (eds): Indicators of Ageing and older Persons: World, Regions, Countries, 2012 and 2050. Publications Office of the United Nations Populations Fund, New York (2013)Google Scholar
  49. United Nations (ed.): Demographic Yearbook 1970. Publications Office of the United Nations, New York (1971)Google Scholar
  50. United Nations (ed.): Compendium of Housing Statistics. Publications Office of the United Nations, New York (1974)Google Scholar
  51. United Nations (ed.): Compendium of Human Settlements Statistics. Publications Office of the United Nations, New York (2001)Google Scholar
  52. United Nations (ed.): Demographic Yearbook 2012. Publications Office of the United Nations, New York (2012)Google Scholar
  53. United Nations (ed.): World Population Prospects—The 2012 Revision; Volume I: Comprehensive Tables. Publications Office of the United Nations, New York (2013)Google Scholar
  54. Wen, F., Li, L.: Based on AHP-fuzzy comprehensive evaluation method of real estate investment risk research. Atlantis Press—Proceedings of the 2nd International Conference On Systems Engineering and Modeling, 413–417 (2013)Google Scholar
  55. Worzala, E., Sirmans, C.F.: Investing in international real estate stocks: a review of the literature. Urban Stud. 40(5–6), 1115–1149 (2003)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Roberto Cervelló-Royo
    • 1
  • Francisco Guijarro
    • 1
  • Thomas Pfahler
    • 2
  • Marion Preuss
    • 3
  1. 1.Faculty of Business Administration and ManagementUniversitat Politècnica de ValènciaValenciaSpain
  2. 2.Faculty Economy and Public ManagementHochschule für Angewandte WissenschaftenHamburgGermany
  3. 3.Faculty Economy and Public ManagementHochschule für Angewandte Wissenschaften in cooperation with the Universitat Politècnica de ValènciaHamburgGermany

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