IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v109y2019ics1389934119300498.html
   My bibliography  Save this article

Do firms in clusters perform better? Lessons from wood-processing industries in new EU member states

Author

Listed:
  • Stojčić, Nebojša
  • Anić, Ivan-Damir
  • Aralica, Zoran

Abstract

The economic structure of many advancing economies is dominated by labour-, scale. and resource-intensive industries. Recent advances in the field of digital technologies threaten the foundations of these traditional sectors and motivate the search for policies that would help sustain jobs and secure the survival and growth of firms. The European Union places clusters high on the policy agenda as instruments for fostering industrial transformation, and increasing firm performance and competitiveness. This paper investigates the impact of clusters on firm performance in traditional wood-processing and furniture industries from two new Central European member states of the European Union during the post-crisis period of 2013–2016. The findings indicate that clusters have a positive impact on firm productivity, sales revenues, size, and export performance. Cluster members also have a higher probability of becoming high growth firms and they offer higher wages to their employees. These findings support the view that clusters are an important driver of firms’ growth and competitiveness and support the existence of cluster policies.

Suggested Citation

  • Stojčić, Nebojša & Anić, Ivan-Damir & Aralica, Zoran, 2019. "Do firms in clusters perform better? Lessons from wood-processing industries in new EU member states," Forest Policy and Economics, Elsevier, vol. 109(C).
  • Handle: RePEc:eee:forpol:v:109:y:2019:i:c:s1389934119300498
    DOI: 10.1016/j.forpol.2019.102043
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1389934119300498
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.forpol.2019.102043?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tarun Khanna & Jan W. Rivkin, 2001. "Estimating the performance effects of business groups in emerging markets," Strategic Management Journal, Wiley Blackwell, vol. 22(1), pages 45-74, January.
    2. Jun Li & Shuai Geng, 2012. "Industrial clusters, shared resources and firm performance," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 24(5-6), pages 357-381, June.
    3. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
    4. P. W. de Langen, 2002. "Clustering and performance: the case of maritime clustering in The Netherlands," Maritime Policy & Management, Taylor & Francis Journals, vol. 29(3), pages 209-221.
    5. repec:hal:wpspec:info:hdl:2441/c8dmi8nm4pdjkuc9g8mc0ghsn is not listed on IDEAS
    6. Margareta RUSU-TANASA, 2014. "Clusters: Innovation, Knowledge And Competitiveness In The Wood Processing Industry," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 6, pages 81-86, December.
    7. Matias Busso & John DiNardo & Justin McCrary, 2014. "New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 885-897, December.
    8. Amel Ben Abdesslem & Raphaël Chiappini, 2019. "Cluster policy and firm performance: a case study of the French optic/photonic industry," Regional Studies, Taylor & Francis Journals, vol. 53(5), pages 692-705, May.
    9. Martin, Philippe & Mayer, Thierry & Mayneris, Florian, 2011. "Public support to clusters: A firm level study of French "Local Productive Systems"," Regional Science and Urban Economics, Elsevier, vol. 41(2), pages 108-123, March.
    10. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    11. World Bank, 2019. "World Development Report 2019 [Rapport sur le développement dans le monde 2019]," World Bank Publications - Books, The World Bank Group, number 30435, December.
    12. Christian H.M. Ketels & Olga Memedovic, 2008. "From clusters to cluster-based economic development," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 1(3), pages 375-392.
    13. Lucas Figal Garone & Alessandro Maffioli & Joao Negri & Cesar Rodriguez & Gonzalo Vázquez-Baré, 2015. "Cluster development policy, SME’s performance, and spillovers: evidence from Brazil," Small Business Economics, Springer, vol. 44(4), pages 925-948, April.
    14. Eric Braune & Xavier Mahieux & Anne-Laure Boncori, 2016. "The Performance of Independent Active SMEs in French Competitiveness Clusters," Industry and Innovation, Taylor & Francis Journals, vol. 23(4), pages 313-330, May.
    15. Lionel Fontagné & Pamina Koenig & Florian Mayneris & Sandra Poncet, 2013. "Cluster Policies And Firm Selection: Evidence From France," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 897-922, December.
    16. Matias D. Cattaneo, 2010. "multi-valued treatment effects," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    17. Donald B. Rubin, 1977. "Assignment to Treatment Group on the Basis of a Covariate," Journal of Educational and Behavioral Statistics, , vol. 2(1), pages 1-26, March.
    18. Strøjer Madsen, Erik & Smith, Valdemar & Dilling-Hansen, Mogens, 2003. "Industrial clusters, firm location and productivity – Some empirical evidence for Danish firms," Working Papers 03-26, University of Aarhus, Aarhus School of Business, Department of Economics.
    19. repec:hal:spmain:info:hdl:2441/c8dmi8nm4pdjkuc9g8mc0ghsn is not listed on IDEAS
    20. Mari Jos� Aranguren & Xabier de la Maza & Mario Davide Parrilli & Ferran Vendrell-Herrero & James R. Wilson, 2014. "Nested Methodological Approaches for Cluster Policy Evaluation: An Application to the Basque Country," Regional Studies, Taylor & Francis Journals, vol. 48(9), pages 1547-1562, September.
    21. Franz Todtling & Michaela Trippl, 2004. "Like Phoenix from the Ashes? The Renewal of Clusters in Old Industrial Areas," Urban Studies, Urban Studies Journal Limited, vol. 41(5-6), pages 1175-1195, May.
    22. Boneu, Franco & Alfaro Serrano, David & Maffioli, Alessandro & Pietrobelli, Carlo & Stucchi, Rodolfo & Casaburi, Gabriel & Castillo, Victoria & Figal Garone, Lucas & Giuliani, Elisa & Giuliodori, Davi, 2016. "The Impact Evaluation of Cluster Development Programs: Methods and Practices," IDB Publications (Books), Inter-American Development Bank, number 7605.
    23. Franco Boneu & David Alfaro Serrano & Alessandro Maffioli & Carlo Pietrobelli & Rodolfo Stucchi & Gabriel Casaburi & Victoria Castillo & Lucas Figal Garone & Elisa Giuliani & David Giuliodori & Andrés, 2016. "The Impact Evaluation of Cluster Development Programs: Methods and Practices," IDB Publications (Books), Inter-American Development Bank, number 94056 edited by Alessandro Maffioli & Carlo Pietrobelli & Rodolfo Stucchi, February.
    24. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    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. Mohammad Abir Shahid Chowdhury & Shuai Chuanmin & Marcela Sokolová & ABM Munibur Rahman & Ahsan Akbar & Zahid Ali & Muhammad Usman, 2021. "Unveiling the Nexus between Access to Electricity, Firm Size and SME’s Performance in Bangladesh: New Evidence Using PSM," Energies, MDPI, vol. 14(20), pages 1-16, October.
    2. Joanna Kuczewska & Tomasz Tomaszewski, 2022. "Exploring potential drivers of innovation-related activities in Poland: evidence from Polish business clusters," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(3), pages 775-801, September.

    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. Kere, Eric Nazindigouba & Choumert, Johanna & Combes Motel, Pascale & Combes, Jean Louis & Santoni, Olivier & Schwartz, Sonia, 2017. "Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia," Ecological Economics, Elsevier, vol. 136(C), pages 148-158.
    2. Garbero, Alessandra & Songsermsawas, Tisorn, 2016. "Impact of modern irrigation on household production and welfare outcomes: Evidence from the PASIDP project in Ethiopia," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235949, Agricultural and Applied Economics Association.
    3. Jean-Louis Combes & Rasmane Ouedraogo & Sampawende J.-A. Tapsoba, 2016. "Structural shifts in aid dependency and fiscal policy in developing countries," Applied Economics, Taylor & Francis Journals, vol. 48(46), pages 4426-4446, October.
    4. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    5. Aboal, Diego & Crespi, Gustavo & Perera, Marcelo, 2020. "How effective are cluster development policies? Evidence from Uruguay," World Development Perspectives, Elsevier, vol. 18(C).
    6. Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2015. "Estimating Conditional Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 485-505, October.
    7. Jean-Louis Combes & Rasmané Ouedraogo & Mr. Sampawende J Tapsoba, 2016. "What Does Aid Do to Fiscal Policy? New Evidence," IMF Working Papers 2016/112, International Monetary Fund.
    8. James Wilson & Emily Wise & Madeline Smith, 2022. "Evidencing the benefits of cluster policies: towards a generalised framework of effects," Policy Sciences, Springer;Society of Policy Sciences, vol. 55(2), pages 369-391, June.
    9. Ying-Ying Lee, 2015. "Efficient propensity score regression estimators of multi-valued treatment effects for the treated," Economics Series Working Papers 738, University of Oxford, Department of Economics.
    10. Madeline Smith & James R. Wilson & Emily Wise, 2020. "Evaluating clusters: Where theory collides with practice," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(3), pages 413-430, June.
    11. Nebojša Stojčić, 2021. "Collaborative innovation in emerging innovation systems: Evidence from Central and Eastern Europe," The Journal of Technology Transfer, Springer, vol. 46(2), pages 531-562, April.
    12. Silvia Mendolia & Ian Walker, 2015. "Youth unemployment and personality traits," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-26, December.
    13. Lee, Ying-Ying, 2018. "Efficient propensity score regression estimators of multivalued treatment effects for the treated," Journal of Econometrics, Elsevier, vol. 204(2), pages 207-222.
    14. Revilla, Elena & Rodríguez-Prado, Beatriz, 2018. "Bulding ambidexterity through creativity mechanisms: Contextual drivers of innovation success," Research Policy, Elsevier, vol. 47(9), pages 1611-1625.
    15. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    16. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2021. "A unified framework for efficient estimation of general treatment models," Quantitative Economics, Econometric Society, vol. 12(3), pages 779-816, July.
    17. Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers CWP57/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Nathan, Max, 2022. "Does light touch cluster policy work? Evaluating the tech city programme," Research Policy, Elsevier, vol. 51(9).
    19. Zheng, Yanqiao & Zhang, Xiaoqi & Zhu, Yu, 2021. "Overeducation, major mismatch, and return to higher education tiers: Evidence from novel data source of a major online recruitment platform in China," China Economic Review, Elsevier, vol. 66(C).
    20. Rahul Singh & Liyuan Xu & Arthur Gretton, 2020. "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves," Papers 2010.04855, arXiv.org, revised Oct 2022.

    More about this item

    Keywords

    Traditional industries; Industry clusters; Firm performance; New EU member states; Cluster associations;
    All these keywords.

    JEL classification:

    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • L73 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Forest Products
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate

    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:eee:forpol:v:109:y:2019:i:c:s1389934119300498. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/forpol .

    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.