Weitere Artikel dieser Ausgabe durch Wischen aufrufen
Revised version of a paper presented at the Hawaii International Conference on Social Sciences, Honolulu, May 29–June 2, 2012.
The scope of this study ranges from the identification of key drivers of living conditions from a wide spectrum of context-based indicators to the development of a concrete composite measure of living conditions within the framework of a multivariate analysis. The Living Conditions Index (LCI) is a standardized aggregate score that summarizes five components and 18 indicators in a single number. Three different approaches, principal component analysis (PCA), range equalization (RE), and division by mean (DM) are used to assess the impact of different methods of weighting and standardization procedures on the composite. Between the RE and DM methods, the RE method is preferred because it accounts for wider variations and strong correlations to the PCA composite. In general, the PCA method appears promising, particularly for cross-community comparisons as it is based on a weighting scheme. Extreme variability between quintiles that comprise the LCI indicates that the score represents a summary of economic, housing, and cultural diversities. The paper advocates for a future plan of research in the light of identified gaps in data, and more emphasis on disparities in economic conditions. A major implication of the study is that the composite provides a new tool in child development research for characterizing community-based living conditions and detecting disparities in the distribution of child developmental outcomes.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Alesina, A., Di Tella, R., & MacCulloch, R. (2004). Inequality and happiness: Are Europeans and Americans different? Journal of Public Economics, 88, 2009–2042. CrossRef
Anand, S., & Sen, A. (1997). Concepts of human development and poverty: A multidimensional perspective, Human Development Papers 1997, UNDP.
Balakrishnan, T. R., & Jarvis, G. K. (1976). Socioeconomic differentiation in urban Canada. Review of Canadian Sociology & Anthropology, 13(2), 204–216. CrossRef
Beckerman, W. (1978). Measure of leisure, equality, and welfare. Paris: OECD.
Boelhouwer, J. (2002). Quality of life and living conditions in the Netherlands. Social Indicators Research, 58, 115–140. CrossRef
Booysen, F. (2002). An overview and evaluation of composite indices of development. Social Indicators Research, 59(2), 115–151. CrossRef
Briggs, S. R., & Check, J. M. (1986). The role of factor analysis in the development and evaluation of personality scales. Journal of Personality, 54, 106–148. CrossRef
Bronfenbrenner, U., & Morris, P. (1998). The ecology of developmental processes. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology: Theoretical models of human development (5th ed., Vol. 1, pp. 993–1028). New York: Wiley.
Casadio Tarabusi, E., & Guarini, G. (2013). An unbalance adjustment method for development indicators. Social Indicators Research, 112(1), 19–45. CrossRef
Center for Communication and Civic Engagement. (2007). Measuring social and economic development: A look at the Human Development Index (HDI) [PowerPoint slides]. Seattle: Center for Communication and Civic Engagement, University of Washington.
Ceriani, L., & Gigliarano, C. (2013). Sujective and objective well-being: A Bayesian networks approach. Retrieved from www.ecineq.org/ecineq_bari13/FILESxBari13/CR2/p261.pdf.
Chavis, D. M., Lee, K. S., & Acosta, J. D. (2008). The sense of community (SCI) revised: The reliability of the SCI-2. Paper presented at the 2nd International Community Psychology Conference, Lisboa, Portugal.
Churchman, A. (2003). Is there a place for children in the city? Journal of Urban Design, 8, 99–111. CrossRef
Cohen, A. (2009). The multidimensional poverty assessment tool: Design development and application of a new framework for measuring rural poverty. Rome: International Fund for Agricultural Development.
Cvrlje, D., & Ćorić, T. (2010). Macro & micro aspects of standard of living and quality of life in a small transition economy: The case of Croatia. EFZG Working Paper Series, 1002.
De Bosscher, V., De Knop, P., van Bottenburg, M., & Shibli, S. (2006). A conceptual framework for analyzing sports policy factors leading to international sporting success. European Sport Management Quarterly, 6(2), 185–215. CrossRef
De Neve, J.-E., Diener, E., Tay, L., & Xuereb, C. (2013). The objective benefits of subjective well-being. In J. Helliwell, R. Layard, & J. Sachs (Eds.), World happiness report 2013. New York: UN Sustainable Development Network.
Dickes, P., Valentova, M., & Borsenberger, M. (2009). Social cohesion: Measurement based on the data from European Value Study. Paper presented at the NTTS (New Techniques and Technologies for Statistics) conference, Eurostat, Brussels.
Ebert, U., & Welsch, H. (2004). Meaningful environmental indices: A social choice approach. Journal of Environmental Economics and Management, 47(2), 270–283. CrossRef
Ebert, U., & Welsch, H. (2007). The social evaluation of income distribution: An assessment based on happiness surveys. New York: Maxwell School of Citizenship and Public Affairs. Retrieved from http://worlddatabaseofhappiness.eur.nl//hap_bib/freetexts/ebert_u_2004.pdf.
Ebert, U., & Welsch, H. (2009). How do Europeans evaluate income distributions? An assessment based on happiness surveys. Review of Income and Wealth, 55(3), 803–819. CrossRef
European Union. (2013). Smarter, greener, more inclusive? Indicators to support the Europe 2020 strategy. Luxembourg: Publication Office of the European Union.
Fallowfield, L. (2009). What is quality of life?. London: Hayward Medical Communications.
Fernald, L. C. H., Kariger, P., Engle, P., & Raikes, A. (2009). Examining early child development in low-income countries: A toolkit for the assessment of children in the first five years of life. Washington, DC: The World Bank.
Frank, L. D., Schmid, T. L., Sallis, J. F., Chapman, J., & Saelens, B. E. (2005). Linking objectively measured physical activity with objectively measured urban form: Findings from SMARTRAQ. American Journal of Preventive Medicine, 28(2 Suppl. 2), 117–125. CrossRef
Frey, B. S., & Stutzer, A. (2002). Happiness and economics. Princeton: Princeton University Press.
Garelli, S. (2011). Competitiveness 20 years later. In The IMD world competitiveness yearbook (pp. 29–34). Lausanne: IMD World Competitiveness Center.
Giovannini, E., & Hall, J. (2007). Measuring well-being and societal progress. Retrieved from http://www.beyond-gdp.eu/download/oecd_measuring-progress.pdf.
Groh, A. P., & Wich, M. (2009). A composite measure to determine a host country’s attractiveness for foreign direct investment. IESE Business School, University of Navarra, Working Paper WP-833.
Guhn, M., & Goelman, H. (2011). Biological theory, early child development and the validation of the population-level early development instrument. Social Indicators Research,. doi: 10.1007/s11205-011-9842-5.
Hale, T. (2004). An extended example using Theil’s T Statistic: U.S. income inequality by county. Retrieved from utip.gov.utexas.edu/tutorials/extended_example.doc.
Haughey, D. (2010). Pareto analysis step by step. London: Project Smart.
Hume, C., Salmon, J., & Ball, K. (2005). Children’s perceptions of their home and neighborhood environments, and their association with objectively measured physical activity: A qualitative and quantitative study. Health Education Research, 20, 1–13. CrossRef
IMD World Competitiveness Center. (2010). Customized products. Lausanne: IMD World Competitiveness Center.
Jordan, P. W. (2010). The good society framework—Understanding quality of life. Retrieved from http://www.orcacomputer.com/isqols/content/NEWS/GoodSocietyFrameworkGeneralEdit.pdf.
Kaiser, H. F., & Rice, J. (1974). Little jiffy, mark IV. Educational and Psychological Measurement, 39, 711–714.
Kolenikov, S. (1998). The methods of the quality of life assessment (Master’s thesis). Moscow: New Economic School.
Krishnan, V. (2010). Constructing an area-based socioeconomic index: A principal components analysis approach. Edmonton: University of Alberta, Faculty of Extension.
Leschke, J., Watt, A., & Finn, M. (2008). Putting a number of job quality? Constructing a European job quality index. WP ETUI-REHS, 2008, 03.
Lisov, V. A., & Shaposhnikov, A. N. (1989). Methods and results of constructing a typology of families based on level of material well-being: Example of the rural population. Problems of Economics, 32(1), 33–51. CrossRef
Lutero, G. (2010). The aggregation problem in its hystorical perspective: A summary overview. Retrieved from www.fao.org//rural/wye_city_group/2010/May/WYE_2010.4.1_Lutero.pdf.
Major Cities Unit. (2010). State of Australian cities 2010. Canberra: Major Cities Unit.
Michalos, A. C. (2011). Quality of life assessment is too important to be left to economists. Canadian Centre for Policy Alternatives Review. Retrieved from http://www.policyalternatives.ca/publications/reports/quality-life-assessment-too-important-be-left-economists.
Munda, G., & Nardo, M. (2009). Non-compensatory/non-linear composite indicators for ranking countries: A defensible setting. Applied Economics, 41, 1513–1523. CrossRef
Nardo, M., & Saisana, M. (2005). Handbook on constructing composite indicators: Putting theory into practice. OECD/JRC, Institute for the Protection and Security of the Citizen Unit of Econometrics and Applied Statistics. Retrieved from http://epp.eurostat.ec.europa.eu/portal/page/portal/research_methodology/documents/S11P3_OECD_EC_HANDBOOK_NARDO_SAISANA.pdf.
Nardo, M., Saisana, M., Saltelli, A., & Tarantola, S. (2005b). Tools for composite indicators building. European Commission, Joint Research Centre Working Paper EUR 21682 EN.
Nardo, M., Saisana, M., Saltelli, A., Tarantola, S., Hoffman, A., & Giovannini, E. (2005a). Handbook on constructing composite indicators: Methodology and user guide. OECD, Statistics Working Paper STD/DOC (2005)3.
Nunnally, J. (1978). Psychometric theory. New York: McGraw-Hill.
Patterson, M., & Jollands, N. (2004). The power of one: Developing a deadline indicator for tracking progress to sustainability in New Zealand. International Journal of Environment and Sustainable Development, 3, 316–338. CrossRef
Perlman, M., Kankesan, T., & Zhang, J. (2008). Promoting diversity in early child care education. Early Child Development and Care, 180(6), 753–766. CrossRef
Philips Center for Health and Well-being. (2010a). Philips index for health and well-being: A global perspective. Amsterdam: Philips Center for Health and Well-being.
Philips Center for Health and Well-being. (2010b). Outcome of the 1st think tank meeting on livable cities. Amsterdam: Philips Center for Health and Well-being.
Reinstadler, A., & Ray, J. (2010). Macro determinants of individual income poverty in 93 regions of Europe. Luxembourg: Eurostat.
Ross, D. P., & Roberts, P. (2013). Income and child well-being: A new perspective on the poverty debate. Ottawa: Canadian Council on Social Development. Retrieved from www.ccsd.ca/pubs/inckids/1.htm.
Rosselet-McCauley, S. (2011). Appendix I: Methodology and principles of analysis. In The IMD world competitiveness yearbook. Lausanne: IMD World Competitiveness Center.
Saelens, B. E., Sallis, J. F., & Frank, L. D. (2003). Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literature. Annals of Behavioral Medicine, 25, 80–91. CrossRef
Saltelli, A., Nardo, M., Saisana, M., & Tarantola, S. (2004). Composite indicators—The controversy and the way forward, OECD World Forum on Key Indicators, Palermo, 10-13 November.
Salzman, J. (2003). Methodological choices encountered in the construction of composite indices of economic and social wellbeing. Ottawa: Center for the Study of Living Standards. Retrieved from www.csls.ca/events/cea2003/salzman-typol-cea2003.pdf.
Schlossberg, M. (2002). Visualizing accessibility with GIS. Solstice: An Electronic Journal of Geography and Mathematics, XIII (2). Retrieved from http://hdl.handle.net/2027.42/60283.
Sharpe, A. (2004). Literature review of frameworks for macro-indicators. Ottawa: Centre for the Study of Living Standards.
Sirgy, M. J. (2010). Theoretical perspectives guiding QOL indicator projects. Social Indicators Research,. doi: 10.1007/s11205-010-9692-6.
Slocum-Gori, S. L., & Zumbo, B. D. (2010). Assessing the unidimensionality of psychological scales: Using multiple criteria from factor analysis. Social Indicators Research,. doi: 10.1007/s11205-010-9682-8.
The Economist (2011). Inequality: Unbottled Gini.
Trocmé, N., MacLaurin, B., Fallon, B., Shlonsky, A., Mulcahy, M., & Esposito, T. (2009). National child welfare outcomes indicator matrix (NOM). Montreal: Centre for Research on Children and Families, McGill University.
UNDP. (2004). ICT and human development: Towards building a composite index for Asia, realizing the Millennium Development Goals, Technical Paper. UNDP: Elsevier.
UNICEF. (2007). Child poverty in perspective: An overview of child well-being in rich countries, Innocenti Report Card 7. Florence: UNICEF Innocenti Research Centre.
Vyas, S., & Kumaranayake, L. (2006). Constructing socioeconomic status indices: How to use principal components analysi? Advance Access Publication, 9, 459–468.
Wilkinson, R., & Pickett, K. (2009). The Spirit Level: Why more equal societies almost always do better. London: Allen Lane.
World Health Organization. (2004). WHO quality of life-BREF. Geneva: World Health Organization.
Zhou, P., & Ang, B. W. (2009). Comparing MCDA aggregation methods in constructing composite indicators using the Shannon–Spearman measure. Social Indicators Research, 94, 83–96. CrossRef
Zhou, P., Ang, B. W., & Poh, K. L. (2006). Comparing aggregating methods for constructing the composite environmental index: An objective measure. Ecological Economics, 59, 305–311. CrossRef
- Development of a Multidimensional Living Conditions Index (LCI)
- Springer Netherlands
Neuer Inhalt/© Stellmach, Neuer Inhalt/© Maturus, Pluta Logo/© Pluta, digitale Transformation/© Maksym Yemelyanov | Fotolia