IDEAS home Printed from https://ideas.repec.org/a/eee/epplan/v33y2010i4p457-467.html
   My bibliography  Save this article

Comparing and contrasting poverty reduction performance of social welfare programs across jurisdictions in Canada using Data Envelopment Analysis (DEA): An exploratory study of the era of devolution

Author

Listed:
  • Habibov, Nazim N.
  • Fan, Lida

Abstract

In the mid-1990s, the responsibilities to design, implement, and evaluate social welfare programs were transferred from federal to local jurisdictions in many countries of North America and Europe through devolution processes. Devolution has caused the need for a technique to measure and compare the performances of social welfare programs across multiple jurisdictions. This paper utilizes Data Envelopment Analysis (DEA) for a comparison of poverty reduction performances of jurisdictional social welfare programs across Canadian provinces. From the theoretical perspective, findings of this paper demonstrates that DEA is a promising method to evaluate, compare, and benchmark poverty reduction performance across multiple jurisdictions using multiple inputs and outputs. This paper demonstrates that DEA generates easy to comprehend composite rankings of provincial performances, identifies appropriate benchmarks for each inefficient province, and estimates sources and amounts of improvement needed to make the provinces efficient. From a practical perspective the empirical results presented in this paper indicate that Newfoundland, Prince Edwards Island, and Alberta achieve better efficiency in poverty reduction than other provinces. Policy makers and social administrators of the ineffective provinces across Canada may find benefit in selecting one of the effective provinces as a benchmark for improving their own performance based on similar size and structure of population, size of the budget for social programs, and traditions with administering particular types of social programs.

Suggested Citation

  • Habibov, Nazim N. & Fan, Lida, 2010. "Comparing and contrasting poverty reduction performance of social welfare programs across jurisdictions in Canada using Data Envelopment Analysis (DEA): An exploratory study of the era of devolution," Evaluation and Program Planning, Elsevier, vol. 33(4), pages 457-467, November.
  • Handle: RePEc:eee:epplan:v:33:y:2010:i:4:p:457-467
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0149-7189(09)00116-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fortin, Bernard & Lacroix, Guy & Drolet, Simon, 2004. "Welfare benefits and the duration of welfare spells: evidence from a natural experiment in Canada," Journal of Public Economics, Elsevier, vol. 88(7-8), pages 1495-1520, July.
    2. Garry F. Barrett & Michael I. Cragg, 1998. "An Untold Story: The Characteristics of Welfare Use in British Columbia," Canadian Journal of Economics, Canadian Economics Association, vol. 31(1), pages 165-188, February.
    3. Jantti, Markus & Danziger, Sheldon, 2000. "Income poverty in advanced countries," Handbook of Income Distribution, in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 6, pages 309-378, Elsevier.
    4. Caterina Ruggeri Laderchi & Ruhi Saith & Frances Stewart, 2003. "Does it Matter that we do not Agree on the Definition of Poverty? A Comparison of Four Approaches," Oxford Development Studies, Taylor & Francis Journals, vol. 31(3), pages 243-274.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Christiaensen, Luc & Scott, Christopher & Wodon, Quentin, 2002. "Poverty Measurement and Analysis," MPRA Paper 45362, University Library of Munich, Germany.
    7. Day, Diana L. & Lewin, Arie Y. & Li, Hongyu, 1995. "Strategic leaders or strategic groups: A longitudinal data envelopment analysis of the U.S. brewing industry," European Journal of Operational Research, Elsevier, vol. 80(3), pages 619-638, February.
    8. Irvine, Ian & Finnie, Ross & Sceviour, Roger, 2004. "Welfare Dynamics in Canada: The Role of Individual Attributes and Economic-policy Variables," Analytical Studies Branch Research Paper Series 2004231e, Statistics Canada, Analytical Studies Branch.
    9. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    10. Chen, Andrew & Hwang, Yuhchang & Shao, Benjamin, 2005. "Measurement and sources of overall and input inefficiencies: Evidences and implications in hospital services," European Journal of Operational Research, Elsevier, vol. 161(2), pages 447-468, March.
    11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    12. Rajiv D. Banker & Richard C. Morey, 1986. "Efficiency Analysis for Exogenously Fixed Inputs and Outputs," Operations Research, INFORMS, vol. 34(4), pages 513-521, August.
    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. Campoli, Jessica Suárez & Alves Júnior, Paulo Nocera & Rossato, Fabrícia Gladys Fernandes da Silva & Rebelatto, Daisy Aparecida do Nascimento, 2020. "The efficiency of Bolsa Familia Program to advance toward the Millennium Development Goals (MDGs): A human development indicator to Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    2. Wang, Zihan & Li, Jiaxin & Liu, Jing & Shuai, Chuanmin, 2020. "Is the photovoltaic poverty alleviation project the best way for the poor to escape poverty? ——A DEA and GRA analysis of different projects in rural China," Energy Policy, Elsevier, vol. 137(C).
    3. Helu Xiao & Na Wang & Shanping Wang, 2023. "Dynamic sustainability assessment of poverty alleviation in China: evidence from both novel non-convex global two-stage DEA and Malmquist productivity index," Operational Research, Springer, vol. 23(2), pages 1-40, June.
    4. Maria Gabriela Mendonça Peixoto & Maria Cristina Angélico Mendonça & Cleber Carvalho de Castro & Luiz Gonzaga de Castro Júnior & Gustavo Alves de Melo & Mário Otávio Batalha, 2022. "Evaluation of the operational efficiency of southeast intermodal terminals in the grain logistics chain using data envelopment analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 3044-3058, October.
    5. Eva Kovarova & Tomas Vana, 2023. "Reduction of Poverty and Material Deprivation in the EU Countries: What Matters the Most?," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 3-23.
    6. Mariano, Enzo Barberio & Sobreiro, Vinicius Amorim & Rebelatto, Daisy Aparecida do Nascimento, 2015. "Human development and data envelopment analysis: A structured literature review," Omega, Elsevier, vol. 54(C), pages 33-49.
    7. Pettas, Nikolaos & Giannikos, Ioannis, 2014. "Evaluating the delivery performance of public spending programs from an efficiency perspective," Evaluation and Program Planning, Elsevier, vol. 45(C), pages 140-150.

    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. Tumaniants, Karen A. (Туманянц, Карэн) & Sesina, Julia E. (Сесина, Юлия), 2017. "Social Expenditures of Russian Regions in Terms of “Input-Output” [Расходы На Социальную Политику Российских Регионов В Координатах «Затраты — Результат»]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 128-149, October.
    2. Erbetta, Fabrizio & Menozzi, Anna & Corbetta, Guido & Fraquelli, Giovanni, 2013. "Assessing family firm performance using frontier analysis techniques: Evidence from Italian manufacturing industries," Journal of Family Business Strategy, Elsevier, vol. 4(2), pages 106-117.
    3. Bozec, Richard & Dia, Mohamed, 2007. "Board structure and firm technical efficiency: Evidence from Canadian state-owned enterprises," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1734-1750, March.
    4. Pınar Kaya Samut & Reyhan Cafrı, 2016. "Analysis of the Efficiency Determinants of Health Systems in OECD Countries by DEA and Panel Tobit," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 113-132, October.
    5. Sedef E. Kara & Mustapha D. Ibrahim & Sahand Daneshvar, 2021. "Dual Efficiency and Productivity Analysis of Renewable Energy Alternatives of OECD Countries," Sustainability, MDPI, vol. 13(13), pages 1-14, July.
    6. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    7. 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.
    8. Brennan, Shae & Haelermans, Carla & Ruggiero, John, 2014. "Nonparametric estimation of education productivity incorporating nondiscretionary inputs with an application to Dutch schools," European Journal of Operational Research, Elsevier, vol. 234(3), pages 809-818.
    9. Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.
    10. Rafael Benítez & Vicente Coll-Serrano & Vicente J. Bolós, 2021. "deaR-Shiny: An Interactive Web App for Data Envelopment Analysis," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    11. Avellón Naranjo, Blanca & Prieto Jano, María José, 2017. "Los factores determinantes de la eficiencia en la gestión de las Administraciones Tributarias Autonómicas españolas/The Determinants of Efficiency in the Tax Management of the Spanish Regional Tax Adm," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 35, pages 749-776, Agosto.
    12. Mariano, Enzo Barberio & Sobreiro, Vinicius Amorim & Rebelatto, Daisy Aparecida do Nascimento, 2015. "Human development and data envelopment analysis: A structured literature review," Omega, Elsevier, vol. 54(C), pages 33-49.
    13. Andrew Johnson & John Ruggiero, 2014. "Nonparametric measurement of productivity and efficiency in education," Annals of Operations Research, Springer, vol. 221(1), pages 197-210, October.
    14. Zelenyuk, Valentin, 2020. "Aggregation of inputs and outputs prior to Data Envelopment Analysis under big data," European Journal of Operational Research, Elsevier, vol. 282(1), pages 172-187.
    15. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    16. Suhyeon Han & Shinyoung Park & Sejin An & Wonjun Choi & Mina Lee, 2023. "Research on Analyzing the Efficiency of R&D Projects for Climate Change Response Using DEA–Malmquist," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    17. Jens J. Krüger, 2020. "Long‐run productivity trends: A global update with a global index," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1393-1412, November.
    18. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    19. Valentina Bosetti & Mariaester Cassinelli & Alessandro Lanza, 2007. "Benchmarking in Tourism Destinations; Keeping in Mind the Sustainable Paradigm," Springer Books, in: Álvaro Matias & Peter Nijkamp & Paulo Neto (ed.), Advances in Modern Tourism Research, chapter 0, pages 165-180, Springer.
    20. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.

    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:eee:epplan:v:33:y:2010:i:4:p:457-467. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/evalprogplan .

    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.