IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa12p84.html
   My bibliography  Save this paper

Firm Heterogeneity and Regional Business Cycles Differentials

Author

Listed:
  • Roberto Basile
  • Sergio de Nardis
  • Carmine Pappalardo

Abstract

This study represents a first attempt to empirically analyze the role of firm heterogeneity in regional business cycle behaviour. Working with monthly Italy’s firms data and estimating a random effects ordered probit model, we first document sizable asymmetries in Northern and Southern firms business cycles positively related to the intensity of the national cycle: firms located in the South are more likely to reduce production levels than firms located in the North in periods of business cycle expansion and vice versa. Then, we explore the role of sectoral mix and several firm-specific factors (firm size, export propensity, liquidity constraints, demand conditions, capacity utilization and expectations) in explaining regional disparities in business cycle fluctuations. Results suggest that North-South differences in sectoral composition do not help explain the diverging behaviour of Southern firms, while by controlling for firm heterogeneity we are able to capture large part of regional business cycles differences. JEL codes: D21, E32, R10 Keywords: Regional business cycle, firm heterogeneity, random effects ordered probit

Suggested Citation

  • Roberto Basile & Sergio de Nardis & Carmine Pappalardo, 2012. "Firm Heterogeneity and Regional Business Cycles Differentials," ERSA conference papers ersa12p84, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa12p84
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa12/e120821aFinal00086.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. John Moore & Nobuhiro Kiyotaki, 2008. "Liquidity, Business Cycles, and Monetary Policy," 2008 Meeting Papers 35, Society for Economic Dynamics.
    2. Lourdes Montoya & Jakob Haan, 2008. "Regional business cycle synchronization in Europe?," International Economics and Economic Policy, Springer, vol. 5(1), pages 123-137, July.
    3. Marc J. Melitz & Giancarlo I. P. Ottaviano, 2021. "Market Size, Trade, and Productivity," World Scientific Book Chapters, in: Firms and Workers in a Globalized World Larger Markets, Tougher Competition, chapter 4, pages 87-108, World Scientific Publishing Co. Pte. Ltd..
    4. Carvalho, Vasco M. & Harvey, Andrew C., 2005. "Growth, cycles and convergence in US regional time series," International Journal of Forecasting, Elsevier, vol. 21(4), pages 667-686.
    5. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    6. Dedola, Luca & Lippi, Francesco, 2005. "The monetary transmission mechanism: Evidence from the industries of five OECD countries," European Economic Review, Elsevier, vol. 49(6), pages 1543-1569, August.
    7. Basile, Roberto, 2001. "Export behaviour of Italian manufacturing firms over the nineties: the role of innovation," Research Policy, Elsevier, vol. 30(8), pages 1185-1201, October.
    8. van Praag, B. M. S. & Frijters, P. & Ferrer-i-Carbonell, A., 2003. "The anatomy of subjective well-being," Journal of Economic Behavior & Organization, Elsevier, vol. 51(1), pages 29-49, May.
    9. Mastromarco, Camilla & Woitek, Ulrich, 2007. "Regional business cycles in Italy," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 907-918, October.
    10. Koenig, Pamina & Mayneris, Florian & Poncet, Sandra, 2010. "Local export spillovers in France," European Economic Review, Elsevier, vol. 54(4), pages 622-641, May.
    11. Andrew B. Bernard & J. Bradford Jensen, 2004. "Why Some Firms Export," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 561-569, May.
    12. Shyh-Wei Chen, 2007. "Using Regional Cycles to Measure National Business Cycles in the U.S. with the Markov Switching Panel Model," Economics Bulletin, AccessEcon, vol. 3(46), pages 1-12.
    13. repec:ebl:ecbull:v:3:y:2007:i:46:p:1-12 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carlo Gianelle & Letizia Montinari & Simone Salotti, 2017. "Interregional Trade, Specialization, and the Business Cycle: Policy Implications for the EMU," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 1-27, May.
    2. Jürgen Bierbaumer-Polly & Werner Hölzl, 2016. "Business Cycle Dynamics and Firm Heterogeneity. Evidence for Austria Using Survey Data," WIFO Working Papers 504, WIFO.
    3. Alessandro Girardi & Marco Ventura, 2021. "Measuring credit crunch in Italy: evidence from a survey-based indicator," Annals of Operations Research, Springer, vol. 299(1), pages 567-592, April.
    4. Wenzel, Lars, 2013. "Forecasting regional growth in Germany: A panel approach using business survey data," HWWI Research Papers 133, Hamburg Institute of International Economics (HWWI).
    5. Girardi, Alessandro & Ventura, Marco & Margani, Patrizia, 2018. "An Indicator of Credit Crunch using Italian Business Surveys," MPRA Paper 88839, University Library of Munich, Germany.
    6. Soomi Lee & Shu Wang, 2023. "Impacts of political fragmentation on inclusive economic resilience: Examining American metropolitan areas after the Great Recession," Urban Studies, Urban Studies Journal Limited, vol. 60(1), pages 26-45, January.
    7. Petraglia, Carmelo & Pierucci, Eleonora & Scalera, Domenico, 2020. "Interregional redistribution and risk sharing through public budget. The case of Italy in times of crisis (2000–2016)," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 162-169.
    8. Fazio, Giorgio & Piacentino, Davide, 2018. "Convergence analysis for hierarchical longitudinal data," Economic Modelling, Elsevier, vol. 73(C), pages 89-99.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Girardi, Alessandro & Ventura, Marco & Margani, Patrizia, 2018. "An Indicator of Credit Crunch using Italian Business Surveys," MPRA Paper 88839, University Library of Munich, Germany.
    2. Alessandro Girardi & Marco Ventura, 2021. "Measuring credit crunch in Italy: evidence from a survey-based indicator," Annals of Operations Research, Springer, vol. 299(1), pages 567-592, April.
    3. SHIMAMOTO Daichi & Yu Ri KIM & TODO Yasuyuki, 2019. "The Effect of Social Interactions on Exporting Activities: Evidence from Micro, Small, and Medium-Sized Enterprises in rural Vietnam," Discussion papers 19020, Research Institute of Economy, Trade and Industry (RIETI).
    4. Roberto Antonietti & Alberto Marzucchi, 2013. "Green Investment Strategies and Export Performance: A Firm-level Investigation," Working Papers 2013.76, Fondazione Eni Enrico Mattei.
    5. Jamal Ibrahim Haidar, 2022. "Internalization of externalities in international trade," Empirical Economics, Springer, vol. 63(1), pages 469-497, July.
    6. Pamina Koenig & Florian Mayneris & Sandra Poncet, 2010. "Économies d’agglomération à l’exportation et difficulté d’accès aux marchés," Économie et Statistique, Programme National Persée, vol. 435(1), pages 85-103.
    7. Raffaele Brancati & Emanuela Marrocu & Manuel Romagnoli & Stefano Usai, 2018. "Innovation activities and learning processes in the crisis: evidence from Italian export in manufacturing and services," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(1), pages 107-130.
    8. Harold Creusen & Arjan Lejour, 2011. "Uncertainty and the export decisions of Dutch firms," FIW Working Paper series 069, FIW.
    9. Tomasz Brodzicki & Dorota Ciolek, 2016. "Creativity pays off. Innovation, innovation strategy, and internationalization," Working Papers 1601, Instytut Rozwoju, Institute for Development.
    10. Enrique López-Bazo & Elisabet Motellón, 2013. "“Firm exports, innovation, … and regions”," AQR Working Papers 201305, University of Barcelona, Regional Quantitative Analysis Group, revised May 2013.
    11. Békés, Gábor & Harasztosi, Péter, 2013. "Agglomeration premium and trading activity of firms," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 51-64.
    12. Marco Grazzi, 2009. "Trade and Profitability: Is there an export premium? Evidence from Italian manufacturing firms," LEM Papers Series 2009/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Harold Creusen & Arjan Lejour, 2011. "Uncertainty and the export decisions of Dutch firms," FIW Working Paper series 069, FIW.
    14. (ed.), 0. "Research Handbook on Economic Diplomacy," Books, Edward Elgar Publishing, number 16053.
    15. Antonietti, Roberto & Marzucchi, Alberto, 2014. "Green tangible investment strategies and export performance: A firm-level investigation," Ecological Economics, Elsevier, vol. 108(C), pages 150-161.
    16. Péter Harasztosi, 2016. "Export spillovers in Hungary," Empirical Economics, Springer, vol. 50(3), pages 801-830, May.
    17. Bratti, Massimiliano & Felice, Giulia, 2009. "Exporting and Product Innovation at the Firm Level," MPRA Paper 18915, University Library of Munich, Germany.
    18. Imbriani, Cesare & Morone, Piergiuseppe & Testa, Giuseppina, 2008. "Exporting quality: is it the right strategy for the Italian manufacturing sector?," MPRA Paper 13327, University Library of Munich, Germany.
    19. Marco Grazzi, 2012. "Export and Firm Performance: Evidence on Productivity and Profitability of Italian Companies," Journal of Industry, Competition and Trade, Springer, vol. 12(4), pages 413-444, December.
    20. Rodríguez-Pose, Andrés & Tselios, Vassilis & Winkler, Deborah & Farole, Thomas, 2013. "Geography and the Determinants of Firm Exports in Indonesia," World Development, Elsevier, vol. 44(C), pages 225-240.

    More about this item

    Keywords

    regional business cycle; firm heterogeneity; random effects ordered probit;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa12p84. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.