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Measuring Regional Disparities in Small Countries


  • Boris A. Portnov


  • Daniel Felsenstein



Though individual studies of regional disparity may deal with separate development measures - population growth, wages, welfare, regional productivity, etc. - the use of an integrated indicator is often essential, particularly if a comparative (cross-country) analysis is required. In order to measure the extent of disparities, various indices of inequality are commonly used. The goal of present study was to determine whether commonly used inequality measures (Gini, coefficient of variation, etc.) produce meaningful estimates when applied to small countries, thus making it possible to compare the results of analysis obtained for such countries with those obtained elsewhere. As we argue, a small country may differ from a country of larger size in three fundamental features. First, it is likely to have a relatively small number of regional divisions. Second, its regional divisions are likely to vary considerably in their population sizes. Lastly, regions of a small country may rapidly change their rank-order positions in the country-wide hierarchy, by changing their attributes (e.g., population and incomes). In contrast, in a large country such rank-order changes may be both less pronounced and slower-acting. In order to formalize these distinctions, we designed simple empirical tests, in which income and population distributions, presumably characteristic for small countries, were compared with a “reference” distribution, assumed to represent more accurately a country of a larger size. In the latter (reference) distribution, the population was distributed evenly across regional divisions and assumed to be static. In the first test, we checked whether the overall number of regions matters. In the second, we tested whether different inequality indices respond to differences in the regional distribution of population, viz., evenly spread population in the reference distribution vs. unevenly spread population in the test distribution. Finally, in the third test, we verified whether different inequality indices were sensitive to the sequence in which regions are introduced into the calculation. Somewhat surprisingly, none of the indices we tested appeared to pass all the tests, meaning that they may produce (at least in theory) misleading estimates if used for small countries. However, two population weighted indices – Williamson and Gini - appeared to exhibit only minor flaws and may thus be considered as more or less reliable regional inequality measures. Although further studies on the performance of different inequality indices may be needed to verify the generality of our observations, the present analysis clearly cautions against indiscriminate use of inequality indices for regional analysis and comparison.

Suggested Citation

  • Boris A. Portnov & Daniel Felsenstein, 2005. "Measuring Regional Disparities in Small Countries," ERSA conference papers ersa05p136, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa05p136

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    References listed on IDEAS

    1. Davis, Donald R, 1998. "The Home Market, Trade, and Industrial Structure," American Economic Review, American Economic Association, vol. 88(5), pages 1264-1276, December.
    2. Holmes, Thomas J. & Stevens, John J., 2005. "Does home market size matter for the pattern of trade?," Journal of International Economics, Elsevier, vol. 65(2), pages 489-505, March.
    3. Masahisa Fujita & Paul Krugman & Anthony J. Venables, 2001. "The Spatial Economy: Cities, Regions, and International Trade," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262561476, July.
    4. Gordon H. Hanson & Chong Xiang, 2004. "The Home-Market Effect and Bilateral Trade Patterns," American Economic Review, American Economic Association, vol. 94(4), pages 1108-1129, September.
    5. Krugman, Paul, 1980. "Scale Economies, Product Differentiation, and the Pattern of Trade," American Economic Review, American Economic Association, vol. 70(5), pages 950-959, December.
    6. Head, Keith & Mayer, Thierry & Ries, John, 2002. "On the Pervasiveness of Home Market Effects," Economica, London School of Economics and Political Science, vol. 69(275), pages 371-390, August.
    7. Davis, Donald R. & Weinstein, David E., 1999. "Economic geography and regional production structure: An empirical investigation," European Economic Review, Elsevier, vol. 43(2), pages 379-407, February.
    8. Zhihao Yu, 2005. "Trade, market size, and industrial structure: revisiting the home-market effect," Canadian Journal of Economics, Canadian Economics Association, vol. 38(1), pages 255-272, February.
    9. Gianmarco Ottaviano & Takatoshi Tabuchi & Jacques-FranÁois Thisse, 2002. "Agglomeration and Trade Revisited," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(2), pages 409-436, May.
    10. Ottaviano, Gianmarco & Thisse, Jacques-Francois, 2004. "Agglomeration and economic geography," Handbook of Regional and Urban Economics,in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 58, pages 2563-2608 Elsevier.
    11. Picard, Pierre M. & Zeng, Dao-Zhi, 2005. "Agricultural sector and industrial agglomeration," Journal of Development Economics, Elsevier, vol. 77(1), pages 75-106, June.
    12. Marius Brülhart, 1998. "Economic Geography, Industry Location and Trade: The Evidence," The World Economy, Wiley Blackwell, vol. 21(6), pages 775-801, August.
    13. Rauch, James E., 1999. "Networks versus markets in international trade," Journal of International Economics, Elsevier, vol. 48(1), pages 7-35, June.
    14. repec:spo:wpecon:info:hdl:2441/c8dmi8nm4pdjkuc9g8o4o0m0g is not listed on IDEAS
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    Cited by:

    1. Roberto Ezcurra & Andrés Rodríguez-Pose, 2014. "Trade Openness and Spatial Inequality in Emerging Countries," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(2), pages 162-182, June.
    2. Gertrudes Saúde Guerreiro, 2012. "Regional Income Distribution in Portugal," CEFAGE-UE Working Papers 2012_06, University of Evora, CEFAGE-UE (Portugal).
    3. Natalya Rybnikova & Boris Portnov, 2015. "Using light-at-night (LAN) satellite data for identifying clusters of economic activities in Europe," Letters in Spatial and Resource Sciences, Springer, vol. 8(3), pages 307-334, November.
    4. Ezcurra, Roberto & Rodríguez-Pose, Andrés, 2013. "Does Economic Globalization affect Regional Inequality? A Cross-country Analysis," World Development, Elsevier, vol. 52(C), pages 92-103.
    5. Kallioras Dimitris, 2010. "Regional Inequalities in the New European Union Member-States: Is There a ‘Population Size’ Effect?," European Spatial Research and Policy, De Gruyter Open, vol. 17(2), pages 107-116, October.
    6. Boris A. Portnov, 2011. "Does Zipf's Law Hold for Primate Cities? Some Evidence from a Discriminant Analysis of World Countries," ERSA conference papers ersa10p105, European Regional Science Association.

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