View More View Less
  • 1 Social and Business Research Group, University of Rovira i Virgili, Campus de Bellisens, Av. de Universitat 4, 43204 Reus, Tarragona, Spain
Restricted access

Purchase article

USD  $25.00

1 year subscription (Individual Only)

USD  $700.00

Abstract

The relationship between social expenditure, on the one hand, and poverty or income inequality indicators, on the other, focuses a great interest in the literature on welfare systems. In this paper, we evaluate the efficiency of the social transfer policies of the EU-28 states between 2011 and 2015 using deterministic and stochastic frontier models. Using the fuzzy clustering methods, we identify the patterns in the size of welfare systems, which we measure from the value and efficiency of social expenditure. In this way, we identify four clusters. The first cluster comprises many EU-15 countries (normally the Continental and the Nordic welfare states); the second comprises nations that were integrated into the EU in the last 15 years (mostly the former Communist countries); the third cluster comprises the culturally and geographically heterogeneous countries, such as Hungary, Ireland, Croatia and Luxemburg (whose main characteristic is the high efficiency of their social expenditure); and finally, the fourth group basically comprises the southern European countries, whose social transfer policy effectiveness is rather weak.

  • Aigner, D.Lovell, C. K.Schmidt, P. (1977): Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6(1): 2137.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Afonso, A.Aubyn, M. S. (2004): Non-Parametric Approaches to Education and Health Expenditure Efficiency in OECD Countries. Journal of Applied Economics, 8(2): 227246.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Afonso, A.Aubyn, M. S. (2006): Cross-Country Efficiency of Secondary Education Provision: A Semi-Parametric Analysis with Non-Discretionary Inputs. Economic Modelling, 23(3): 476491.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Afonso, A.Schuknecht, L.Tanzi, V. (2010): Income Distribution Determinants and Public Spending Efficiency. The Journal of Economic Inequality, 8(3): 367389.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Anker, J.Lindén, J.Hauge-Wegner, M.Holch, J. A. (2009): Overview and Analysis. Minimum Income Schemes in Denmark: A Study of National Policies .Brussels: European Commission.

    • Search Google Scholar
    • Export Citation
  • Atilgan, E. (2016): Stochastic Frontier Analysis of Hospital Efficiency: Does the Model Specification Matter? Journal of Business Economics and Finance, 5(1): 1726.

    • Search Google Scholar
    • Export Citation
  • Atkinson, A. (2000): A European Social Agenda: Poverty Benchmarking and Social Transfers. Euromod Working Paper, No. EM 3/00.

  • Arts, W. A.Gelissen, J. (2010): Models of the Welfare State. In: Castles, F. G.Leibfried, S.Lewis, J.Obinger, H.Pierson, Ch. (eds): The Oxford Handbook of the Welfare State. Oxford: Oxford University Press, pp. 569583.

    • Search Google Scholar
    • Export Citation
  • Beblo, M.Knaus, T. (2001): Measuring Income Inequality in Euroland. The Review of Income and Wealth ,47: 301320.

  • Bezdek, J. C. (1981): Pattern Recognition with Fuzzy Objective Function Algorithms .Boston: Springer.

  • Bogdanov, G.Zahariev, B. (2009): Analysis of the Situation in Relation to Minimum Income Schemes in Bulgaria. A Study of National Policies. Brussels: European Commission.

    • Search Google Scholar
    • Export Citation
  • Bradbury, B.Jäntti, M. (2001): Child Poverty across Twenty-Five Countries. In: Bradbury, B.Jenkins, S.Micklewright, J. (eds): The Dynamics of Child Poverty in Industrialised Countries .Cambridge University Press, pp. 6291.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cantillon, B.Vandenbroucke, F. (2014): Reconciling Work and Poverty Reduction: How Successful are European Welfare States? Oxford: Oxford University Press.

    • Search Google Scholar
    • Export Citation
  • Cantillon, B.Marx, I.Van den Bosch, K. (1997): The Challenge of Poverty and Social Exclusion. Towards 2000: The New Social Policy Agenda .Paris: OECD.

    • Search Google Scholar
    • Export Citation
  • Cantillon, B.Marx, I.Van den Bosch, K. (2002): The Puzzle of Egalitarianism: About the Relationships between Employment, Wage Inequality, Social Expenditures and Poverty. Working Papers, No. 337, Luxembourg Income Study.

    • Search Google Scholar
    • Export Citation
  • Cincinnato, S.Nicaise, I. (2009): Minimum Income Schemes: Panorama and Assessment. A Study of National Policies (Belgium) .Brussels: European Commission.

    • Search Google Scholar
    • Export Citation
  • Coelli, T. J. (1995a): Recent Developments in Frontier Modelling and Efficiency Measurement. Australian Journal of Agricultural and Resource Economics, 39(3): 219245.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Coelli, T. J. (1995b): Estimators and Hypothesis Tests for a Stochastic Frontier Function: A Monte Carlo Analysis. Journal of Efficiency Analysis, 6(3): 247268.

    • Search Google Scholar
    • Export Citation
  • Cook, L. (2010): Eastern Europe and Russia. In: Castles, F. G.Leibfried, S.Lewis, J.Obinger, H.Pierson, Ch. (eds): The Oxford Handbook of the Welfare State. Oxford: Oxford University Press, pp. 671686.

    • Search Google Scholar
    • Export Citation
  • Clements, B. (2002): How Efficient is Education Spending in Europe? European Review of Economics and Finance, 1(1): 326.

  • Costea, A.Bleotu, V. (2012): A New Fuzzy Clustering Algorithm for Evaluating the Performance of Non-Banking Financial Institutions in Romania. Economic Computation and Economic Cybernetics Studies and Research, 46(4): 179199.

    • Search Google Scholar
    • Export Citation
  • Dave, R. N. (1996): Validating Fuzzy Partitions Obtained Through C-Shells Clustering. Pattern Recognition Letters, 17(6): 613623.

  • Derrig, R. A.Ostaszewski, K. M. (1995): Fuzzy Techniques of Pattern Recognition in Risk and Claim Classification. Journal of Risk and Insurance: 447482.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Esping-Andersen, G. (1990): Three Worlds of Welfare Capitalism. Cambridge: Cambridge Policy Press.

  • Ferrera, M. (2005): Welfare States and Social Safety Nets in Southern Europe: An Introduction. In: Ferrera, M. (ed.): Welfare State Reform in Southern Europe. Fighting Poverty and Social Exclusion in Italy, Spain, Portugal and Greece. Abingdon: Routledge, pp. 123.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Finn, D.Schulte, B.Eichhors, O.Kaufmann, O.Konle-Seidl, R. (2008): Employment First’: Activating the British Welfare State. Bringing the Jobless into Work? Experiences with Activation Schemes in Europe and the US. Berlin: Springer.

    • Search Google Scholar
    • Export Citation
  • Greene, W. H. (1980): Maximum Likelihood Estimation of Econometric Frontier Functions. Journal of Econometrics, 13(1): 2756.

  • Greene, W. H. (2008): The Econometric Approach to Efficiency Analysis. In: Fried, H. O.Lovell, Ch. A. K.Schmidt, S. S. (2008) (eds): The Measurement of Productive Efficiency and Productivity Growth. Ch.2. Oxford University Press.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Greene, W. H. (2014): Data Envelopment Analysis.

  • Gupta, S.Verhoeven, M. (2001): The Efficiency of Government Expenditure: Experiences from Africa. Journal of Policy Modelling, 23(4): 433467.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Herrera, S.Pang, G. (2005): Efficiency of Public Spending in Developing Countries: An Efficiency Frontier Approach. Policy Research Working Paper, No. 3645. World Bank Publications.

    • Search Google Scholar
    • Export Citation
  • Hicks, A.Kenworthy, L. (2003): Varieties of Welfare Capitalism. Socio-Economic Review, 1(1): 2761.

  • Kapsoli, M. J.Teodoru, I. R. (2017): Benchmarking Social Spending Using Efficiency Frontiers. International Monetary Fund.

  • Klawonn, F.Kruse, R.Winkler, R. (2015): Fuzzy Clustering: More than Just Fuzzification. Fuzzy Sets and Systems, 281: 272279.

  • Kwietniewski, L.Schreyögg, J. (2018): Profit Efficiency of Physician Practices: A Stochastic Frontier Approach Using Panel Data. Health Care Management Science, 21(1): 7686.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Legros, M. (2009): Minimum Income Schemes. From Crisis to another, the French Experience of Means-Tested Benefits .Brussels: European Commission.

    • Search Google Scholar
    • Export Citation
  • Major, I. (2003): What Makes Hungarian SMEs Perform Poorly? A Stochastic Frontier Analysis. Acta Oeconomica, 53(2): 109143.

  • Nelson, K. (2003): Fighting Poverty: Comparative Studies on Social Insurance, Means-Tested Benefits and Income Redistribution. Dissertation Series, No. 60, Stockholm: Swedish Institute for Social Research.

    • Search Google Scholar
    • Export Citation
  • Oxley, H.Dang, Th.Förster, M.Pellizari, M. (2001): Income Inequalities and Poverty among Children and Households with Children in Selected OECD Countries. In: Vleminckx, K.Smeeding, T. (eds): Child Well-Being, Child Poverty and Child Policy in Modern Nations: What Do We Know .Bristol: Policy Press, 371405.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Quah, C. H. (2014): Revisiting Business Cycles in the Eurozone: A Fuzzy Clustering and Discriminant Approach. Acta Oeconomica, 64(2): 161180.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Radu, M. (2009): Analysis of the Situation in Relation to Minimum Income Schemes in Romania. A Study of National Policies. Brussels: European Commission.

    • Search Google Scholar
    • Export Citation
  • Ruoppila, S.Lamminmäki, S. (2009): Minimum Income Schemes. A Study of National Policies. Brussels: European Commission.

  • Titus, M. A.Eagan, K. (2016): Examining Production Efficiency in Higher Education: The Utility of Stochastic Frontier Analysis. In: Perna, L. W. (ed.): Higher Education: Handbook of Theory and Research. Springer, pp. 441512.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Vandenbroucke, F.Vleminckx, K. (2011): Disappointing Poverty Trends: Is the Social Investment State to Blame? An Exercise in Soul-Searching for Policy-Makers. Working Paper, No. 11/01, University of Antwerp.

    • Search Google Scholar
    • Export Citation
  • Wagstaff, A. (1989): Estimating Efficiency in the Hospital Sector: A Comparison of Three Statistical Cost Frontier Models. Applied Economics, 21(May): 659672.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wang, W.Zhang, Y. (2007): On Fuzzy Cluster Validity Indices. Fuzzy Sets and Systems, 158(19): 20952117.

  • Winsten, C. (1957): Discussion on Mr. Farrell's Paper. Journal of the Royal Statistical Society, Series A ,120: 282284.

  • Xie, X. L.Beni, G. (1991): A Validity Measure for Fuzzy Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(8): 841847.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yu, S.Wei, Y. M.Fan, J.Zhang, X.Wang, K. (2012): Exploring the Regional Characteristics of Inter-provincial CO2 Emissions in China: An Improved fuzzy Clustering Analysis Based on Particle Swarm Optimization. Applied Energy, 92: 552562.

    • Crossref
    • Search Google Scholar
    • Export Citation
Submit Your Manuscript
 
The author instruction is available in PDF.
Please, download the file from HERE.

 

The description of the refereeing procedure is available in PDF.
Please, download the file from HERE.

 

 

Senior editors

Editor(s)-in-Chief: Prof. Dr. Mihályi, Péter

Editor(s): Ványai, Judit

Editorial Board

  • Ádám Török (Chairman) / University of Pannonia; Budapest University of Technology and Economics
  • Edina Berlinger / Corvinus University of Budapest, Department of Finance
  • Beáta Farkas / Faculty of Economics and Business Administration, University of Szeged
  • Péter Halmai / Budapest University of Technology and Economics; National University of Public Service
  • István Kónya / Institute of Economics Centre for Regional and Economic Studies, University of Pécs
  • János Köllő / Institute of Economics Centre for Regional and Economic Studies
  • István Magas / Corvinus University of Budapest, Department of World Economy; University of Physical Education, Department. of Sports and Decision Sciences
 

Advisory Board

  • Ǻslund, Anders, Institute of International Economics, Washington (USA)
  • Kolodko, Grzegorz, Kozminski University, Warsaw (Poland)
  • Mau, Vladimir, Academy of National Economy (Russia)
  • Messerlin, Patrick A, Groupe d’Economie Mondiale (France)
  • Saul Estrin, London School of Economics (UK)
  • Wagener, Hans-Jürgen, Europa Universität Viadrina (Germany)

Corvinus University of Budapest
Department of Economics
Fővám tér 8 Budapest, H-1093, Hungary

Indexing and Abstracting Services:

  • EconLit
  • Elsevier GEO Abstracts
  • GEOBASE
  • International Bibliographies IBZ and IBR
  • JEL
  • Referativnyi Zhurnal
  • RePEc
  • SCOPUS
  • Social Science Citation Index
  • Index Copernicus

 

2020  
Total Cites 275
WoS
Journal
Impact Factor
0,875
Rank by Economics 325/377 (Q4)
Impact Factor  
Impact Factor 0,534
without
Journal Self Cites
5 Year 0,500
Impact Factor
Journal  0,38
Citation Indicator  
Rank by Journal  Economics 347/549 (Q3)
Citation Indicator   
Citable 37
Items
Total 37
Articles
Total 0
Reviews
Scimago 13
H-index
Scimago 0,292
Journal Rank
Scimago Economics and Econometrics Q3
Quartile Score  
Scopus 225/166=1,4
Scite Score  
Scopus Economics and Econometrics 392/661 (Q3)
Scite Score Rank  
Scopus 0,668
SNIP  
Days from  289
submission  
to acceptance  
Days from  447
acceptance  
to publication  

2019  
Total Cites
WoS
212
Impact Factor 0,914
Impact Factor
without
Journal Self Cites
0,728
5 Year
Impact Factor
0,650
Immediacy
Index
0,156
Citable
Items
45
Total
Articles
45
Total
Reviews
0
Cited
Half-Life
3,9
Citing
Half-Life
9,5
Eigenfactor
Score
0,00015
Article Influence
Score
0,052
% Articles
in
Citable Items
100,00
Normalized
Eigenfactor
0,01891
Average
IF
Percentile
28,437
Scimago
H-index
12
Scimago
Journal Rank
0,439
Scopus
Scite Score
214/165=1,3
Scopus
Scite Score Rank
Economics and Econometrics 355/637 (Q3)
Scopus
SNIP
0,989

 

Acta Oeconomica
Publication Model Hybrid
Submission Fee none
Article Processing Charge 900 EUR/article
Printed Color Illustrations 40 EUR (or 10 000 HUF) + VAT / piece
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Editorial Board / Advisory Board members: 50%
Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%
Subscription fee 2022 Online subsscription: 600 EUR / 750 USD
Print + online subscription: 704 EUR / 880 USD
Subscription Information Online subscribers are entitled access to all back issues published by Akadémiai Kiadó for each title for the duration of the subscription, as well as Online First content for the subscribed content.
Purchase per Title Individual articles are sold on the displayed price.

Acta Oeconomica
Language English
Size B5
Year of
Foundation
1966
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0001-6373 (Print)
ISSN 1588-2659 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Aug 2021 11 0 0
Sep 2021 15 0 0
Oct 2021 14 2 3
Nov 2021 14 0 0
Dec 2021 4 1 0
Jan 2022 3 0 0
Feb 2022 0 0 0