The Role of Neighborhood in the Analysis of Spatial Economic Inequality
- 178 Downloads
Spatial inequality measures should take into account the geographical position of the data of reference if the focus is on the spatial aspects of territorial inequality. However, these traditional spatial inequality measures like the Theil index do not distinguish among different locational situations. On the other hand, when analyzing the spatial decomposition of inequality, it is usual to express global inequality as a weighted sum of inequality values calculated for population subgroups (within component) plus the contribution arising out of differences among subgroup means (between component). Nevertheless, it is unclear whether the reported within and between contributions have been driven primarily by specific factors related to the spatial level of research or by neighborhood factors. The present paper has two main objectives. The first consists into propose a simple way to measure the role of the geographical position in economic inequality. The second aim is to provide an approach to decompose global inequality into its within-country and between-country components assessing which part of these components could be related to neighborhood factors. The proposals are illustrated for the case of European countries. Inequality within each of the countries and inequality between countries can be filtered of neighborhood components, showing inequality components related to specific (local) factors. For a considered spatial level, this exploratory approach can highlight the relevance of future place-based policies versus policies able to support and promote regional neighborhoods.
KeywordsInequality decomposition Between–within decomposition Interregional inequality
JEL ClassificationC43 C10 R1 R12
We thank the editor and two anonymous referees for their comments. Miguel A. Márquez acknowledges financial support from the Spanish Ministry of Economy, Industry and Competitiveness (Grant ECO2016-78352-P).
- Anand, S. (1983). Inequality and poverty in Malaysia: Measurement and decomposition. A World Bank Research Publication. New York: Oxford University Press.Google Scholar
- Barca, F. (2009). An agenda for a reformed cohesion policy: A place based approach to meeting European Union Challenges and Expectations. Independent report prepared at the request of Danuta Hübner, Commissioner for Regional Policy, Brussels.Google Scholar
- Fishlow, A. (1972). Brazilian size distribution of income. The American Economic Review, 62(1/2), 391–402.Google Scholar
- Fredriksen, K. B. (2012). Income inequality in the European Union. OECD Economics Department Working Papers, No. 952, OECD Publishing. https://doi.org/10.1787/5k9bdt47q5zt-en.
- Haughton, J., & Khandker, S. R. (2009). Handbook on poverty + inequality. Washington: World Bank Publications.Google Scholar
- Kuznets, S. (1955). Economic growth and income inequality. The American Economic Review, 45(1), 1–28.Google Scholar
- McCann, P., & Ortega-Argilés, R. (2016). Smart specialisation: Insights from the EU experience and implications for other economies. Journal of Regional Research, 36, 279–293.Google Scholar
- OECD. (2003). Measuring regional economies. Statistics Brief, October, no 6, Organisation for Economic Co-operation and Development, Paris.Google Scholar
- Openshaw, S. (1984). The modifiable areal unit problem. Norwick: Geobooks.Google Scholar
- Spiezia, V. (2003). Measuring regional economies. Statistics Brief, 6, Statistics Directorate of the OECD, Paris.Google Scholar
- Theil, H. (1967). Economics and information theory. Amsterdam: North-Holland.Google Scholar