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Modelling Regional Growth: An Advanced MASST Model

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  • Roberta Capello
  • Ugo Fratesi

Abstract

This paper presents a new version of a forecasting regional growth model called MASST (MAcroeconomic, Sectoral, Social, Territorial model). This new version is specifically designed to take account of sectoral and social (intangible) effects on the growth of regions, and it is therefore able to produce scenarios for all European regions according to differentiated industrial specializations and future industrial patterns of growth. The value added of this version of the model is threefold: (i) its capacity to show scenario results based on industrial resource reallocation; (ii) to measure the impacts of scenario assumptions on manufacturing and service employment separately; and (iii) its capacity to take intangible elements (like social capital) into account in regional macro-econometric growth models. RÉSUMÉ Cette communication présente une nouvelle version d'un modèle de prévision de l'expansion régionale appelé MASST ( MA croeconomic, S ectoral, S ocial, T erritorial Model ). Cette nouvelle version a été conçue spécifiquement pour tenir compte des effets sectoriels et sociaux (incorporels) sur l'expansion régionale, et est, par conséquent, en mesure de produire des scénarios pour toutes les régions d'Europe, d'après des spécialisations industrielles différentiées et des configurations industrielles futures de l'expansion. Cette version du modèle ajoute de la valeur à trois niveaux : (i) elle montre des résultats de scénarios sur la base d'une réaffectation des ressources industrielles ; (ii) elle a la mesure séparée des impacts des hypothèses sur l'emploi dans le secteur industriels et tertiaire ; (iii) elle a la capacité de tenir compte d’éléments de l'incorporel (capital social, par exemple) dans les modèles d'expansion macro-économique régionaux. EXTRACTO Este estudio presenta una nueva versión de un modelo de previsión de crecimiento regional denominado MASST (Modelo MAcroeconómico, Sectorial, Social, Territorial). Esta nueva versión se ha diseñado específicamente para tener en cuenta los efectos sectoriales y sociales (intangibles) sobre el crecimiento de regiones y, por lo tanto, es capaz de producir panoramas para todas las regiones europeas según especializaciones industriales diferenciadas y modelos de crecimiento industrial futuro. El valor añadido de esta versión del modelo tiene tres aspectos: (i) su capacidad para mostrar resultados de panoramas basados en la reasignación de recursos industriales; (ii) medir por separado los impactos de las suposiciones de panoramas sobre el empleo en fabricación y servicios; (iii) su capacidad para tener en cuenta elementos intangibles (como el capital social) en modelos de crecimiento macroeconómico regional.

Suggested Citation

  • Roberta Capello & Ugo Fratesi, 2012. "Modelling Regional Growth: An Advanced MASST Model," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(3), pages 293-318, September.
    • Handle: RePEc:taf:specan:v:7:y:2012:i:3:p:293-318
    DOI: 10.1080/17421772.2012.694143
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    References listed on IDEAS

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    1. Edward L. Glaeser & David Laibson & Bruce Sacerdote, 2002. "An Economic Approach to Social Capital," Economic Journal, Royal Economic Society, vol. 112(483), pages 437-458, November.
    2. Rosa Forte, 2004. "The relationship between foreign direct investment and international trade. Substitution or complementarity? A survey," FEP Working Papers 140, Universidade do Porto, Faculdade de Economia do Porto.
    3. Glickman, Norman J., 1977. "Econometric Analysis of Regional Systems," Elsevier Monographs, Elsevier, edition 1, number 9780122865503 edited by Mills, Edwin S..
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    Cited by:

    1. Roberta Capello & Andrea Caragliu, 2016. "After crisis scenarios for Europe: alternative evolutions of structural adjustments," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 9(1), pages 81-101.
    2. Roberta Capello & Andrea Caragliu, 2021. "Merging macroeconomic and territorial determinants of regional growth: the MASST4 model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(1), pages 19-56, February.
    3. Roberto Camagni & Roberta Capello, 2013. "Regional Competitiveness and Territorial Capital: A Conceptual Approach and Empirical Evidence from the European Union," Regional Studies, Taylor & Francis Journals, vol. 47(9), pages 1383-1402, October.
    4. Roberta Capello & Andrea Caragliu, 2021. "Regional growth and disparities in a post‐COVID Europe: A new normality scenario," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 710-727, September.
    5. Josip Grgić, 2021. "Impact of transport infrastructure on local development in Dalmatia," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 527-558, June.
    6. Czapiewski, Konrad & Janc, Krzysztof & Owsiński, Jan & Śleszyński, Przemysław, 2016. "A modelling project in Poland: the social and intellectual capital aspects," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 118(1), pages 1-11, April.
    7. Roberta Capello, 2019. "Regional Development Theories and Formalised Economic Approaches: An Evolving Relationship," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 5(1), pages 1-16, March.
    8. Korzhenevych, Artem & Bröcker, Johannes, 2018. "Investment subsidies and regional welfare: A dynamic framework," CEPIE Working Papers 02/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).

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