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Vertical Industry Relations, Spillovers and Productivity: Evidence from Chilean Plants

Author

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  • Ricardo Lopez

    () (Indiana University)

  • Jens Suedekum

    () (University of Konstanz)

Abstract

We use disaggregated data on Chilean plants, and the Chilean input-output table to examine the impact of agglomeration spillovers on total factor productivity (TFP). In common with previous studies, we find evidence of intra-industry spillovers, but no evidence of cross-industry spillovers in general. This picture changes, however, when we take vertical industry relations into account. We find important productivity spillover effects from plants in upstream industries. Interestingly, a similar effect cannot be found from plants in downstream industries. The number of plants in these sectors has no effect on firm level TFP, just as the number of plants in other industries that are neither important upstream suppliers nor downstream customers also has no effect. Agglomeration effects are stronger for small than for large plants.

Suggested Citation

  • Ricardo Lopez & Jens Suedekum, 2007. "Vertical Industry Relations, Spillovers and Productivity: Evidence from Chilean Plants," Caepr Working Papers 2007-016, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
  • Handle: RePEc:inu:caeprp:2007016
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Swati Dhingra & John Morrow & Johannes Boehm, 2015. "Input Capabilities and Product Adoption," 2015 Meeting Papers 963, Society for Economic Dynamics.
    2. Walker Hanlon & Antonio Miscio, 2014. "Agglomeration: A Dynamic Approach," NBER Working Papers 20728, National Bureau of Economic Research, Inc.
    3. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, Elsevier.
    4. Carlos Carreira & Luís Lopes, 2016. "Collecting new pieces to the regional knowledge spillovers puzzle: high-tech versus low-tech industries," GEMF Working Papers 2016-06, GEMF, Faculty of Economics, University of Coimbra.
    5. Steven Brakman & Charles van Marrewijk, 2009. "Introduction: Heterogeneity At Different Spatial Scales," Journal of Regional Science, Wiley Blackwell, vol. 49(4), pages 607-615.
    6. repec:eee:juecon:v:99:y:2017:i:c:p:1-14 is not listed on IDEAS
    7. Jean Dubé & Cédric Brunelle, 2014. "Dots to dots: a general methodology to build local indicators using spatial micro-data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 245-272, August.
    8. Boehm, Johannes & Dhingra, Swati & Morrow, John, 2016. "Swimming upstream: input-output linkages and thedirection of product adoption," LSE Research Online Documents on Economics 66418, London School of Economics and Political Science, LSE Library.
    9. Lourenço S. Paz, 2014. "Inter-industry Productivity Spillovers: An Analysis Using the 1989-1998 Brazilian Trade Liberalisation," Journal of Development Studies, Taylor & Francis Journals, vol. 50(9), pages 1261-1274, September.

    More about this item

    Keywords

    Vertical linkages; agglomeration; productivity; Chile;

    JEL classification:

    • 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
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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