IDEAS home Printed from https://ideas.repec.org/a/ags/polpwa/195802.html
   My bibliography  Save this article

Local government performance and spatial dependencies: drivers of structural support allocation?

Author

Listed:
  • Zarnekow, Nana
  • Henning, Christian H.C.A.

Abstract

A central aim of the Regional Policy of the European Union is a regional cohesion. Major instruments are regional policy programs financed via various European funds. The allocation of regional policy funds varies dramatically across regions even when one controls for regional development indicators. Thus, what political economy factors determine the access to financial support of regional policy funds? With this regard, the paper highlights the role of local government performance. Beyond, it is tested for spatial dependencies, e.g. if knowledge spillovers determine the ability to capture regional funds. Pars pro toto empirical analyses focus on the allocation of SAPARD funds in Slovakia using cross-section as well as panel data. The government performance is measured as a technical efficiency of local public good provision and derived within a non-parametric DEA approach. Results show that the government efficiency has a positive significant impact on the structural funding allocation. Furthermore, spatial dependencies occur. With respect to the program duration, it is concluded that knowledge spillovers take place, supporting a successfully program participation.

Suggested Citation

  • Zarnekow, Nana & Henning, Christian H.C.A., 2010. "Local government performance and spatial dependencies: drivers of structural support allocation?," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 10(25), pages 1-11, September.
    • Handle: RePEc:ags:polpwa:195802
    DOI: 10.22004/ag.econ.195802
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/195802/files/2010_3_14.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.195802?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. Charnes, Abraham & Cooper, William W. & Li, Shanling, 1989. "Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities," Socio-Economic Planning Sciences, Elsevier, vol. 23(6), pages 325-344.
    2. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    3. Zhu, Joe, 2001. "Multidimensional quality-of-life measure with an application to Fortune's best cities," Socio-Economic Planning Sciences, Elsevier, vol. 35(4), pages 263-284, December.
    4. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    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. George Emmanuel Halkos & Nickolaos Tzeremes, 2010. "Measuring regional economic efficiency: the case of Greek prefectures," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(3), pages 603-632, December.
    2. Dariush Khezrimotlagh & Wade D. Cook & Joe Zhu, 2021. "Number of performance measures versus number of decision making units in DEA," Annals of Operations Research, Springer, vol. 303(1), pages 529-562, August.
    3. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo, 2018. "OECD: One or Many? Ranking Countries with a Composite Well-Being Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 847-869, October.
    4. Vincenzo Patrizii & Anna Pettini & Giuliano Resce, 2017. "The Cost of Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 985-1010, September.
    5. Adler, Nicole & Raveh, Adi, 2008. "Presenting DEA graphically," Omega, Elsevier, vol. 36(5), pages 715-729, October.
    6. Yang, Guo-liang & Fukuyama, Hirofumi, 2018. "Measuring the Chinese regional production potential using a generalized capacity utilization indicator," Omega, Elsevier, vol. 76(C), pages 112-127.
    7. Halkos, George & Tzeremes, Nickolaos, 2005. "A DEA approach to regional development," MPRA Paper 3992, University Library of Munich, Germany.
    8. Charles, Vincent & Aparicio, Juan & Zhu, Joe, 2019. "The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 279(3), pages 929-940.
    9. Seufert, Juergen Heinz & Arjomandi, Amir & Dakpo, K. Hervé, 2017. "Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 52-68.
    10. Hasan Engin Duran & Pawe³ Gajewski, 2023. "State-level Taylor rule and monetary policy stress," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(1), pages 89-120, March.
    11. Lorenzo CASSI & Emilie-Pauline GALLIÉ & Agénor LAHATTE & Valérie MERINDOL, 2018. "Scientific network centrality of European regions: the role of territorial resources," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 47, pages 5-26.
    12. Qiwei Xie & Yuanyuan Li & Lizheng Wang & Chao Liu, 2018. "Improving discrimination in data envelopment analysis without losing information based on Renyi’s entropy," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 1053-1068, December.
    13. repec:lan:wpaper:3057 is not listed on IDEAS
    14. Ying Han & Baoling Jin & Xiaoyuan Qi & Huasen Zhou, 2021. "Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
    15. Pablo Fernández & Marcos Herrera Gómez, 2023. "Regresiones SUR Espaciales. Análisis Espacio-temporal del Empleo Sectorial en Argentina," Working Papers 279, Red Nacional de Investigadores en Economía (RedNIE).
    16. Salima Bouayad Agha & Nadine Turpin & Lionel Vedrine, 2010. "Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy on regional convergence over the period 1980-2005," Working Papers halshs-00812077, HAL.
    17. repec:rri:wpaper:201303 is not listed on IDEAS
    18. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    19. Konon, Alexander & Fritsch, Michael & Kritikos, Alexander S., 2018. "Business cycles and start-ups across industries: An empirical analysis of German regions," Journal of Business Venturing, Elsevier, vol. 33(6), pages 742-761.
    20. Zhenlin Yang, 2006. "On Joint Modelling and Testing for Local and Global Spatial Externalities," Development Economics Working Papers 22487, East Asian Bureau of Economic Research.
    21. Shih-Liang Chao & Chun-Wei Lai, 2019. "Comparing the efficiency of alliance members and independent liner carriers: a metafrontier analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(2), pages 157-172, June.
    22. Andrés Rodríguez-Pose & Vassilis Tselios, 2015. "Toward Inclusive Growth," International Regional Science Review, , vol. 38(1), pages 30-60, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:ags:polpwa:195802. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/wesggpl.html .

    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.