IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v39y2012i6p991-1005.html
   My bibliography  Save this article

The Role of Destination Spatial Spillovers and Technological Intensity in the Location of Manufacturing and Services Firms

Author

Listed:
  • Andrés Artal-Tur
  • José Miguel Navarro-Azorín
  • Antonio García-Sánchez
  • María Luisa Alamá-Sabater

    (Department of Economics, Universitat Jaume I, Campus del Riu Sec, E-12071, Castelló de la Plana, Spain)

Abstract

Focusing on the characteristics of destinations, we seek to identify the relevance of spatial spillovers while driving location choices of manufacturing and services firms. With this objective, we apply a spatial conditional logit equation to model empirically the behaviour of 1 092 864 firms established in 316 municipalities of the Spanish Mediterranean Arc during the period 1998–2008. Our econometric specification allows us to identify both types of external spatial effects, direct or locally bounded, and indirect or associated-neighbourhood spatial effects. Further, we propose a broad indicator of spatial spillovers generated by a given destination. Empirical findings show that spatial spillovers generated by destinations have greater impacts on the location decisions of manufacturing companies compared with those of services. When we break down the sample by technological intensity of activities, we observe that spatial spillovers are more willing to affect decisions of knowledge-intensive companies relative to those of less knowledge-intensive ones, which stay more locally bounded.

Suggested Citation

  • Andrés Artal-Tur & José Miguel Navarro-Azorín & Antonio García-Sánchez & María Luisa Alamá-Sabater, 2012. "The Role of Destination Spatial Spillovers and Technological Intensity in the Location of Manufacturing and Services Firms," Environment and Planning B, , vol. 39(6), pages 991-1005, December.
  • Handle: RePEc:sae:envirb:v:39:y:2012:i:6:p:991-1005
    DOI: 10.1068/b38024
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b38024
    Download Restriction: no

    File URL: https://libkey.io/10.1068/b38024?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
    ---><---

    References listed on IDEAS

    as
    1. Corinne Autant-Bernard, 2006. "Where Do Firms Choose to Locate Their R&D? A Spatial Conditional Logit Analysis on French Data," European Planning Studies, Taylor & Francis Journals, vol. 14(9), pages 1187-1208, May.
    2. Bernard Fingleton (ed.), 2007. "New Directions in Economic Geography," Books, Edward Elgar Publishing, number 3818.
    3. Josep-Maria Arauzo-Carod, 2013. "Location Determinants of New Firms: Does Skill Level of Human Capital Really Matter?," Growth and Change, Wiley Blackwell, vol. 44(1), pages 118-148, March.
    4. Jopep M. Arauzo-Carod & Miguel C. Manjón-Antolín (ed.), 2007. "Entrepreneurship, Industrial Location and Economic Growth," Books, Edward Elgar Publishing, number 12798.
    5. Josep‐Maria Arauzo‐Carod, 2008. "Industrial Location At A Local Level: Comments On The Territorial Level Of The Analysis," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(2), pages 193-208, April.
    6. Corinne Autant-Bernard & James Lesage, 2011. "Quantifying knowledge spillovers using spatial econometric tools," Post-Print halshs-00617709, HAL.
    7. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
    Full references (including those not matched with items on IDEAS)

    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. Sara Cruz & Aurora A.C. Teixeira, 2014. "The determinants of spatial location of creative industries start-ups: Evidence from Portugal using a discrete choice model approach," FEP Working Papers 546, Universidade do Porto, Faculdade de Economia do Porto.
    2. Andrés Artal Tur & José Miguel Navarro Azorín & María Luisa Alamá Sabater & Antonio García Sánchez, 2011. "The Role Of Destination Spatial Spillovers And Technological Intensity In The Location Of Manufacturing And ServicesⴠFirms," ERSA conference papers ersa11p777, European Regional Science Association.
    3. Oscar Martinez Ibañez & Miguel Manjón Antolín & Josep-Maria Arauzo-Carod, 2013. "The Geographical Scope of Industrial Location Determinants: An Alternative Approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 104(2), pages 194-214, April.
    4. Chandra R. Bhat & Rajesh Paleti & Palvinder Singh, 2014. "A Spatial Multivariate Count Model For Firm Location Decisions," Journal of Regional Science, Wiley Blackwell, vol. 54(3), pages 462-502, June.
    5. Luisa Alamá-Sabater & Andrés Artal-Tur & José Navarro-Azorín, 2011. "Industrial location, spatial discrete choice models and the need to account for neighbourhood effects," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 393-418, October.
    6. Josep-Maria Arauzo-Carod & Miguel Manjón-Antolín, 2012. "(Optimal) spatial aggregation in the determinants of industrial location," Small Business Economics, Springer, vol. 39(3), pages 645-658, October.
    7. Josep-Maria Arauzo-Carod, 2013. "Location Determinants of New Firms: Does Skill Level of Human Capital Really Matter?," Growth and Change, Wiley Blackwell, vol. 44(1), pages 118-148, March.
    8. Alañón Pardo, Ángel & Arauzo Carod, Josep Maria, 2010. "On the effect of the geographical scope of agglomeration economies on firm location," Working Papers 2072/151542, Universitat Rovira i Virgili, Department of Economics.
    9. Corinne Autant-Bernard, 2015. "Que savons-nous de l’impact économique des parcs scientifiques ? Une revue de la littérature," Working Papers halshs-01211662, HAL.
    10. Gehringer, Agnieszka & Krenz, Astrid, 2014. "European market integration and the determinants of firm localization: The case of Poland," University of Göttingen Working Papers in Economics 190, University of Goettingen, Department of Economics.
    11. Federico Pablo-Martí & Josep-Maria Arauzo-Carod, 2020. "Spatial distribution of economic activities: a network approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 441-470, April.
    12. Bhat, Chandra R., 2015. "A comprehensive dwelling unit choice model accommodating psychological constructs within a search strategy for consideration set formation," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 161-188.
    13. Anna M. Ferragina & Giulia Nunziante, 2018. "Are Italian firms performances influenced by innovation of domestic and foreign firms nearby in space and sectors?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 45(3), pages 335-360, September.
    14. Shuai Shi & Kathy Pain, 2020. "Investigating China’s Mid-Yangtze River economic growth region using a spatial network growth model," Urban Studies, Urban Studies Journal Limited, vol. 57(14), pages 2973-2993, November.
    15. Yingcheng Li & Kai Zhu, 2017. "Spatial dependence and heterogeneity in the location processes of new high-tech firms in Nanjing, China," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 519-535, August.
    16. Miguel García-Posada & Juan Mora-Sanguinetti, 2015. "Entrepreneurship and enforcement institutions: disaggregated evidence for Spain," European Journal of Law and Economics, Springer, vol. 40(1), pages 49-74, August.
    17. Weiss, Adam & Habib, Khandker Nurul, 2017. "Examining the difference between park and ride and kiss and ride station choices using a spatially weighted error correlation (SWEC) discrete choice model," Journal of Transport Geography, Elsevier, vol. 59(C), pages 111-119.
    18. Niklas Elert, 2014. "What determines entry? Evidence from Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 55-92, August.
    19. Rosina Moreno & Ernest Miguélez, 2012. "A Relational Approach To The Geography Of Innovation: A Typology Of Regions," Journal of Economic Surveys, Wiley Blackwell, vol. 26(3), pages 492-516, July.
    20. Gopalakrishnan, Raja & Guevara, C. Angelo & Ben-Akiva, Moshe, 2020. "Combining multiple imputation and control function methods to deal with missing data and endogeneity in discrete-choice models," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 45-57.

    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:sae:envirb:v:39:y:2012:i:6:p:991-1005. 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: SAGE Publications (email available below). General contact details of provider: .

    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.