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Determinants of long-run regional productivity: the role of R&D, human capital and public infrastructure

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  • Raffaello Bronzini

    (Bank of Italy)

  • Paolo Piselli

    (Bank of Italy)

Abstract

In this paper we estimate the long-run relationship between regional total factor productivity, R&D, human capital and public infrastructure between 1980 and 2001. We take advantage of recent developments panel cointegration techniques that control for endogeneity of regressors to estimate cointegration vectors. Empirical evidence shows that there exists a long-run equilibrium between productivity level and the three kinds of capital; among them, human capital turns out to have the strongest impact on productivity. Regional productivity is found also to be positively affected by R&D activity and public infrastructure of neighbouring regions. Finally, results of the Granger-causality tests support the hypothesis that human capital and infrastructure Granger-cause productivity in the long-run while the opposite is not true; only for R&D stock is the bi-directional causality found.

Suggested Citation

  • Raffaello Bronzini & Paolo Piselli, 2006. "Determinants of long-run regional productivity: the role of R&D, human capital and public infrastructure," Temi di discussione (Economic working papers) 597, Bank of Italy, Economic Research and International Relations Area.
    • Handle: RePEc:bdi:wptemi:td_597_06
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    1. Valter Di Giacinto & Giacinto Micucci & Pasqualino Montanaro, 2012. "Network effects of public transport infrastructure: Evidence on Italian regions," Papers in Regional Science, Wiley Blackwell, vol. 91(3), pages 515-541, August.
    2. José Luis Navarro-Espigares & José Aureliano Martín-Segura, 2010. "Public--private partnership and regional productivity in the UK," The Service Industries Journal, Taylor & Francis Journals, vol. 31(4), pages 559-580, May.
    3. Valter Di Giacinto & Giacinto Micucci & Pasqualino Montanaro, 2010. "Dynamic Macroeconomic Effects of Public Capital: Evidence from Regional Italian Data," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 69(1), pages 29-66, April.
    4. Claudia Buch & Paola Monti, 2010. "Openness and income disparities: does trade explain the “Mezzogiorno effect”?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(4), pages 667-688, January.
    5. Valter Di Giacinto & Giacinto Micucci & Pasqualino Montanaro, 2012. "The Macroeconomic Impact of Infrastructures: A Literature Review and Empirical Analysis on the Case of Italy," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 1, March.
    6. Francesco Aiello & Camilla Mastromarco & Angelo Zago, 2011. "Be productive or face decline. On the sources and determinants of output growth in Italian manufacturing firms," Empirical Economics, Springer, vol. 41(3), pages 787-815, December.
    7. Matteo Bugamelli & Francesca Lotti & Monica Amici & Emanuela Ciapanna & Fabrizio Colonna & Francesco D�Amuri & Silvia Giacomelli & Andrea Linarello & Francesco Manaresi & Giuliana Palumbo & Filippo , 2018. "Productivity growth in Italy: a tale of a slow-motion change," Questioni di Economia e Finanza (Occasional Papers) 422, Bank of Italy, Economic Research and International Relations Area.
    8. Diana Alexa & Monica Pop-Silaghi & Laura Mariana Cismaṣ, 2016. "Total Factor Productivity, Health and Spatial Dependence in Some European Regions," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 58(3), pages 387-408, September.
    9. Salvatore Amico Roxas & Antonio Cristofaro & Giuseppe Piroli, 2012. "Public Capital in the Private Sector of Italian Economy," EERI Research Paper Series EERI_RP_2012_19, Economics and Econometrics Research Institute (EERI), Brussels.
    10. Pompei, Fabrizio, 2013. "Efficiency And Productivity Growth Across The Italian Regions: The Regional Divide Revisited," MPRA Paper 52052, University Library of Munich, Germany.
    11. Richard Dion & Robert Fay, 2008. "Understanding Productivity: A Review of Recent Technical Research," Discussion Papers 08-3, Bank of Canada.
    12. Xiangfei Ma & Inna Gryshova & Viktoriia Khaustova & Olena Reshetnyak & Maryna Shcherbata & Denys Bobrovnyk & Mykyta Khaustov, 2022. "Assessment of the Impact of Scientific and Technical Activities on the Economic Growth of World Countries," Sustainability, MDPI, vol. 14(21), pages 1-35, November.
    13. Naftaly Mose Gisore & Lawrence Ouru Were, 2017. "The Interactive Effect of Agricultural Input and Research and Development on Agricultural Sector Expansion," Asian Development Policy Review, Asian Economic and Social Society, vol. 5(4), pages 262-271, December.
    14. Fabrizio Balassone & Maura Francese & Angelo Pace, 2011. "Public Debt and Economic Growth in Italy," Quaderni di storia economica (Economic History Working Papers) 11, Bank of Italy, Economic Research and International Relations Area.
    15. Kounetas, Kostas & Napolitano, Oreste & Stavropoulos, Spyridon & Burger, Martijn, 2018. "European Regional Productive Performance under a Metafrontier Framework. The role of patents and human capital on technology gap?," MPRA Paper 88957, University Library of Munich, Germany, revised 17 Jul 2018.

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    More about this item

    Keywords

    Total factor productivity; research and development; public infrastructure; human capital; panel cointegration;
    All these keywords.

    JEL classification:

    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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