IDEAS home Printed from https://ideas.repec.org/a/wun/journl/tjev04y2011i3(15)a05.html
   My bibliography  Save this article

Econometric Models for Analysing the Structural Funds Absorption at Regional Level - Case Study SW Region

Author

Listed:
  • Oana GHERGHINESCU

    (University of Craiova, Faculty of Economics and Business Administration, Craiova, Romania)

  • Paul RINDERU

    (University of Craiova, Faculty of Economics and Business Administration, Craiova, Romania)

Abstract

The main purpose of the current paper is to approach one of the most interesting topics in nowadays Romanian society, namely how the funds provided by the structural instruments are absorbed and to analyse this process. After a short introduction presenting basic information about the European Union cohesion policy, the paper presents the seven operational programmes via which the structural instruments are adapted to our national particularities and which have been negotiated with the European Commission/Union before 2007. From methodological point of view, the core of the paper is represented by the conceptual model which has been developed and which is based on the idea of increasing the range of time observations by using data characterizing the pre-accession programmes and by realizing a logical connection between these financing frameworks. For each operational programme an econometric model GARCH like has been developed and applied for realising this analysis at the level of NUTS2 development region South-West. The conclusions section emphasize the beneficial role of such models especially for assessing the current status of absorbing the structural funds and for improving further financing exercises, makes some technical considerations on the econometric models themselves and relates how the identified weaknesses at regional level could be addressed by accessing different operational programmes.

Suggested Citation

  • Oana GHERGHINESCU & Paul RINDERU, 2011. "Econometric Models for Analysing the Structural Funds Absorption at Regional Level - Case Study SW Region," Timisoara Journal of Economics, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 4(3(15)), pages 161-174.
  • Handle: RePEc:wun:journl:tje:v04:y2011:i3(15):a05
    as

    Download full text from publisher

    File URL: https://tje.uvt.ro/index.php/tje/article/download/116/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oana GHERGHINESCU & Paul RINDERU & Cristi SPULBAR, 2009. "Analysis of structural and cohesion funds absorption in Romania," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(9), pages 223-230, May.
    2. Andres RodrIguez-Pose & Ugo Fratesi†, 2004. "Between Development and Social Policies: The Impact of European Structural Funds in Objective 1 Regions," Regional Studies, Taylor & Francis Journals, vol. 38(1), pages 97-113.
    3. Andrews, Donald W K & Monahan, J Christopher, 1992. "An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 60(4), pages 953-966, July.
    4. Tiiu Paas & Friso Schittle & Andres Kuusk, 2000. "Modelling Regional Income Convergence in EU-25," Regional and Urban Modeling 283600067, EcoMod.
    5. Dobrescu, Emilian, 1996. "Macromodels of the Romanian transition Economy," MPRA Paper 35810, University Library of Munich, Germany.
    6. Storti, G., 2006. "Minimum distance estimation of GARCH(1,1) models," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1803-1821, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brancu Laura & Munteanu Valentin & Gligor Delia, 2013. "CRITICAL FACTORS IN HRD PROJECTSâ€(tm) IMPLEMENTATION: EVIDENCE FROM PUBLIC UNIVERSITIES IN ROMANIA," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 215-224, July.

    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. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," Working Papers halshs-00564897, HAL.
    2. Arcalean, Calin & Glomm, Gerhard & Schiopu, Ioana, 2012. "Growth effects of spatial redistribution policies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(7), pages 988-1008.
    3. Paulo M. D. C. Parente & Richard J. Smith, 2021. "Quasi‐maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 377-405, July.
    4. Angelica Gianfreda & Francesco Ravazzolo & Luca Rossini, 2023. "Large Time‐Varying Volatility Models for Hourly Electricity Prices," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 545-573, June.
    5. Davide Pettenuzzo & Francesco Ravazzolo, 2016. "Optimal Portfolio Choice Under Decision‐Based Model Combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1312-1332, November.
    6. van Amano, Robert A & Norden, Simon, 1998. "Exchange Rates and Oil Prices," Review of International Economics, Wiley Blackwell, vol. 6(4), pages 683-694, November.
    7. Paolo Di Caro & Roberta Arbolino & Ugo Marani, 2018. "A note on the effects of human capital policies in Italy during the Great Recession," Economics Bulletin, AccessEcon, vol. 38(3), pages 1302-1312.
    8. Ioannis Chorianopoulos & Theodoros Iosifides, 2006. "The Neoliberal Framework of EU Urban Policy in Action: Supporting Competitiveness and Reaping Disparities," Local Economy, London South Bank University, vol. 21(4), pages 409-422, November.
    9. Vasco Gabriel, 2003. "Tests for the Null Hypothesis of Cointegration: A Monte Carlo Comparison," Econometric Reviews, Taylor & Francis Journals, vol. 22(4), pages 411-435.
    10. Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2020. "Forecasting financial stress indices in Korea: a factor model approach," Empirical Economics, Springer, vol. 59(6), pages 2859-2898, December.
    11. Riccardo Crescenzi & Mara Giua, 2018. "One or Many Cohesion Policies of the European Union? On the Diverging Impacts of Cohesion Policy across Member States," SERC Discussion Papers 0230, Centre for Economic Performance, LSE.
    12. Matthias Firgo & Peter Mayerhofer, 2015. "Wissens-Spillovers und regionale Entwicklung - welche strukturpolitische Ausrichtung optimiert des Wachstum?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 144, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    13. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015. "Realtime nowcasting with a Bayesian mixed frequency model with stochastic volatility," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 837-862, October.
    14. Westerlund, Joakim, 2003. "Feasible Estimation in Cointegrated Panels," Working Papers 2003:12, Lund University, Department of Economics, revised 10 Nov 2003.
    15. Lucchetti, Riccardo & Palomba, Giulio, 2009. "Nonlinear adjustment in US bond yields: An empirical model with conditional heteroskedasticity," Economic Modelling, Elsevier, vol. 26(3), pages 659-667, May.
    16. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Specification Choices in Quantile Regression for Empirical Macroeconomics," Working Papers 22-25, Federal Reserve Bank of Cleveland.
    17. Andrés Rodríguez-Pose & Yannis Psycharis & Vassilis Tselios, 2012. "Public investment and regional growth and convergence: Evidence from Greece," Papers in Regional Science, Wiley Blackwell, vol. 91(3), pages 543-568, August.
    18. Horváth, Lajos & Rice, Gregory & Whipple, Stephen, 2016. "Adaptive bandwidth selection in the long run covariance estimator of functional time series," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 676-693.
    19. Gabriel, Vasco J. & Psaradakis, Zacharias & Sola, Martin, 2002. "A simple method of testing for cointegration subject to multiple regime changes," Economics Letters, Elsevier, vol. 76(2), pages 213-221, July.
    20. Driver, Ciaran & Trapani, Lorenzo & Urga, Giovanni, 2013. "On the use of cross-sectional measures of forecast uncertainty," International Journal of Forecasting, Elsevier, vol. 29(3), pages 367-377.

    More about this item

    Keywords

    econometric model; GARCH; NUTS2; regional development;
    All these keywords.

    JEL classification:

    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:wun:journl:tje:v04:y2011:i3(15):a05. 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: Romeo Margea (email available below). General contact details of provider: https://edirc.repec.org/data/feuvtro.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.