IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01000321.html
   My bibliography  Save this paper

Fostering the development of European regions: a spatial dynamic panel data analysis of the impact of cohesion policy

Author

Listed:
  • Salima Bouayad Agha

    (GAINS - Groupe d'Analyse des Itinéraires et des Niveaux Salariaux - UM - Le Mans Université)

  • Nadine N. Turpin

    (UMR METAFORT - Mutations des activités des espaces et des formes d'organisation dans les territoires ruraux - INRA - Institut National de la Recherche Agronomique - AgroParisTech - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts - VAS - VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement)

  • Lionel Vedrine

    (UMR METAFORT - Mutations des activités des espaces et des formes d'organisation dans les territoires ruraux - INRA - Institut National de la Recherche Agronomique - AgroParisTech - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts - VAS - VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement)

Abstract

This paper uses a conditional-convergence econometric model to investigate whether cohesion policy affects European economies. Its main contribution is to consider both spatial and temporal dynamics in assessing the impact of European cohesion policy. Econometric estimations rely on a dataset of 143 EU-14-NUTS-1/NUTS-2 regions from 1980 to 2005. The results suggest that Objective 1 programmes have a direct effect on regional gross domestic product per capita growth rates, whereas total Structural Funds do not. Moreover, consideration of the spatial dimension of the panel brings to light a still significant, but less important, impact of Structural Funds.

Suggested Citation

  • Salima Bouayad Agha & Nadine N. Turpin & Lionel Vedrine, 2013. "Fostering the development of European regions: a spatial dynamic panel data analysis of the impact of cohesion policy," Post-Print hal-01000321, HAL.
  • Handle: RePEc:hal:journl:hal-01000321
    DOI: 10.1080/00343404.2011.628930
    Note: View the original document on HAL open archive server: https://hal.science/hal-01000321
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01000321/document
    Download Restriction: no

    File URL: https://libkey.io/10.1080/00343404.2011.628930?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kukenova, Madina & Monteiro, Jose-Antonio, 2008. "Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation," MPRA Paper 11569, University Library of Munich, Germany, revised Nov 2008.
    2. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    3. Jacobs, J.P.A.M. & Ligthart, J.E. & Vrijburg, H., 2009. "Dynamic Panel Data Models Featuring Endogenous Interaction and Spatially Correlated Errors," Other publications TiSEM d473cc67-03f6-4389-9a9f-3, Tilburg University, School of Economics and Management.
    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. bouayad-agha-Hamouche, salima & turpin, nadine & védrine, lionel, 2012. "Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy," MPRA Paper 65470, University Library of Munich, Germany.
    2. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    3. Zhonghua Cheng & Xiaowen Hu, 2023. "The effects of urbanization and urban sprawl on CO2 emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1792-1808, February.
    4. Mohanty, Biswajit & Bhanumurthy, N. R. & Dastidar, Ananya Ghosh, 2017. "What explains Regional Imbalances in Infrastructure?: Evidence from Indian States," Working Papers 17/197, National Institute of Public Finance and Policy.
    5. Mi Lin & Yum K. Kwan, 2017. "FDI Spatial Spillovers in China," The World Economy, Wiley Blackwell, vol. 40(8), pages 1514-1530, August.
    6. Lin, Mi & Kwan, Yum K., 2016. "FDI technology spillovers, geography, and spatial diffusion," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 257-274.
    7. Zheng, Xinye & Yu, Yihua & Wang, Jing & Deng, Huihui, 2013. "Identifying the determinants and spatial nexus of provincial carbon intensity in China: A dynamic spatial panel approach," MPRA Paper 56088, University Library of Munich, Germany.
    8. Jianhuan Huang & Yue Hua, 2019. "Eco-efficiency Convergence and Green Urban Growth in China," International Regional Science Review, , vol. 42(3-4), pages 307-334, May.
    9. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
    10. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2014. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 112-138, February.
    11. Cizek, P. & Jacobs, J.P.A.M. & Ligthart, J.E. & Vrijburg, H., 2011. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Replaced by CentER DP 2015-003)," Other publications TiSEM b80cf367-c435-4f20-8e4c-8, Tilburg University, School of Economics and Management.
    12. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    13. Seydou Coulibaly & Abdramane Camara, 2021. "Working Paper 354 - Taxation, Foreign Direct Investment and Spillover Effects in the Mining Sector," Working Paper Series 2480, African Development Bank.
    14. Lin, Mi & Kwan, Yum K., 2014. "FDI Spatial Spillovers in China," MPRA Paper 60754, University Library of Munich, Germany.
    15. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
    16. Cizek, P. & Jacobs, J. & Ligthart, J.E. & Vrijburg, H., 2015. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Revised version of CentER DP 2011-134)," Other publications TiSEM b4bbf44a-7834-491d-94c8-6, Tilburg University, School of Economics and Management.
    17. Zhonghua Cheng & Xiai Shi, 2018. "Can Industrial Structural Adjustment Improve the Total-Factor Carbon Emission Performance in China?," IJERPH, MDPI, vol. 15(10), pages 1-20, October.
    18. Hua, Yue & Xie, Rui & Su, Yaqin, 2018. "Fiscal spending and air pollution in Chinese cities: Identifying composition and technique effects," China Economic Review, Elsevier, vol. 47(C), pages 156-169.
    19. Biswajit Mohanty & N.R. Bhanumurthy & Ananya Ghosh Dastidar, 2017. "What explains regional imbalances in public infrastructure expenditure? Evidence from Indian states," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 24(2), pages 113-139, December.
    20. Salima Bouayad-Agha & Lionel Védrine, 2010. "Estimation Strategies for a Spatial Dynamic Panel using GMM. A New Approach to the Convergence Issue of European Regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 205-227.

    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:hal:journl:hal-01000321. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.