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Sectoral productivity convergence between European regions: does space matter?


  • Nicola Pontarollo


  • Elisa Montresor
  • Francesco Pecci


The aim of our analysis is the evaluation of the total and sectoral convergence of labour productivity between 182 regions of EU12 in the period 1991-2006. The selected sectors are agriculture, manufactory, market and non-market services. We adopt a β- and σ-convergence approach along with a methodology based on Getis’ spatial filters that allows decomposing variables into their spatial and a-spatial components ensuring their spatial independence. This last point is fundamental to avoid i) omitted variables and/or problems of bias and/or inconsistency of coefficients in growth regressions, ii) bias in the computation of variance. The cited econometric approach also permits to identify spatial regimes of regions with high and low productivity, respectively ‘core’ and ‘periphery’. Our results show significant σ-convergence in aggregate labour productivity, market and non-market services in the first years and a slightly divergence in the second period. Sigma-divergence is present only in manufactory sector when spatial factors are not considered, while in agriculture a strong convergence is perceivable. The analysis highlights that if we do not take into account spatial effects, σ-convergence is overestimated. In the second part of the paper, we evaluate β-convergence for total labour productivity and for each sector. We considered five cases: the whole sample (EU12) without dummies, with country dummies and with spatial regime dummies, the ‘core’ and the ‘periphery’; finally we take into account singularly each spatial regime. The same estimation performed with and without spatially filtered variables leads to different results. While β-convergence process takes place in all cases and with all techniques, countries dummies are statistically significant only when spatial effects are not considered. In case of spatially filtered variables, the dummies, whose aim is to take into account the specificity of an agglomeration of regions, lose their significance, both theoretical and statistical, because the spatial factors embedded in each variable, and strictly connected with the country or convergence club to which they belong, are removed. The interesting point, however, is the lack of significance of dummies for spatial regimes. This finding, common both to filtered and unfiltered variables and to all sectors, is a little surprising because the identified spatial regimes are interpretable (and often interpreted) like convergence clubs. In conclusion, this paper shows that economic structure has to be considered together with spatial structure. These two factors affect themselves reciprocally and, for a full and reliable explanation of regional economic dynamics both must be formally included in the analysis. JEL classification: C14, O52, R11, R15 Key words: Spatial econometrics, convergence, sectoral labour productivity

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  • Nicola Pontarollo & Elisa Montresor & Francesco Pecci, 2012. "Sectoral productivity convergence between European regions: does space matter?," ERSA conference papers ersa12p559, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa12p559

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    References listed on IDEAS

    1. Paci, Raffaele & Pigliaru, Francesco, 1997. "Structural change and convergence: an Italian regional perspective," Structural Change and Economic Dynamics, Elsevier, vol. 8(3), pages 297-318, August.
    2. Sala-i-Martin, Xavier X., 1996. "Regional cohesion: Evidence and theories of regional growth and convergence," European Economic Review, Elsevier, vol. 40(6), pages 1325-1352, June.
    3. Sassi, Maria & Pecci, Francesco, 2008. "Agricultural and Economic Convergence in the EU Integration Process: Do Geographical Relationships Matter?," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44459, European Association of Agricultural Economists.
    4. Quah, Danny T., 1996. "Regional convergence clusters across Europe," European Economic Review, Elsevier, vol. 40(3-5), pages 951-958, April.
    5. Manfred Fischer & Peter Stumpner, 2008. "Income distribution dynamics and cross-region convergence in Europe," Journal of Geographical Systems, Springer, vol. 10(2), pages 109-139, June.
    6. Raffaele Paci & Francesco Pigliaru, 1999. "Is dualism still a source of convergence in Europe?," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1423-1436.
    7. Julie Le Gallo & Sandy Dall'erba, 2008. "Spatial and sectoral productivity convergence between European regions, 1975-2000," Papers in Regional Science, Wiley Blackwell, vol. 87(4), pages 505-525, November.
    8. Peter Egger & Michael Pfaffermayr, 2009. "On Testing Conditional Sigma - Convergence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 453-473, August.
    9. Costas Megir & Danny Quah, 1996. "Regional Convergence Clusters Across Europe," CEP Discussion Papers dp0274, Centre for Economic Performance, LSE.
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    13. Quah, Danny, 1996. "Regional Convergence Clusters Across Europe," CEPR Discussion Papers 1286, C.E.P.R. Discussion Papers.
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    Cited by:

    1. FUKAO Kyoji & MAKINO Tatsuji & TOKUI Joji, 2015. "Regional Factor Inputs and Convergence in Japan: A macro-level analysis, 1955-2008," Discussion papers 15123, Research Institute of Economy, Trade and Industry (RIETI).

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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