Local Government Performance and Spatial Dependencies: Drivers of Structural Support Allocation?

• Autorzy: Nana Zarnekow , Christian H.C.A. Henning
• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

Słowa kluczowe

EN

Regional policy; Econometrics; Special Accession Programme for Agriculture and Rural Development (SAPARD); Structural funds; Financial support

PL

Polityka regionalna; Ekonometria; Specjalny Program Akcesyjny na Rzecz Rozwoju Rolnictwa i Obszarów Wiejskich; Fundusze strukturalne; Wsparcie finansowe

• Czasopismo: Zeszyty Naukowe SGGW w Warszawie. Problemy Rolnictwa Światowego
• Rocznik: 2010
• Tom: 10(25)
• Numer: z. 3
• Strony: 134--144

Twórcy

autor

Nana Zarnekow

• Christian-Albrechts University of Kiel, Germany

autor

Christian H.C.A. Henning

• Christian-Albrechts University of Kiel, Germany

Bibliografia

• Anselin L. [1988]: Spatial Econometrics: Methods and Models. Kluwer Academic Press, Dordrecht.
• Charnes A., Cooper W., Li S. [1989]: Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities. Socio-Economic Planning Sciences no. 23 (6), pp. 325-344.
• Data envelopment analysis: Theory, methodology, and applications. [1994].A. Charnes, W.W. Cooper, A.Y. Lewin, & L.M. Seiford (eds.). Kluwer Academic Press, Boston.
• 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 no. 132, pp. 245-259.
• Elhorst J.P. [2003]: Specification and Estimation of Spatial Panel Data Models. International Regional Science Review no. 26(3), pp. 244-268.
• Kalvelagen E. [2002]: Efficiently Solving DEA Models with GAMS. Technical report. GAMS Development Corporation, Washington, DC. [Available at:] http://www.gams.com/~erwin/dea/dea.pdf. [Accessed: July 2010].
• Le Sage J., Kelley Pace R. [2009]: Introduction to Spatial Econometrics. Taylor & Francis, Inc.
• Regional Policy - Inforegio. [2010]. European Commission. Available at: http://ec.europa.eu/regional_policy/policy/history/index_en.htm. [Accessed: July 2010].
• Zhu J. [2001]: Multidimensional quality-of-life measure with an application to Fortune's best cities. Socio-Economic Planning Sciences no. 35 (4), pp. 263-284.