IDEAS home Printed from https://ideas.repec.org/a/sae/intstu/v49y2012i1-2p1-22.html
   My bibliography  Save this article

Limits of Human Development in Weak States

Author

Listed:
  • Magdaléna Leichtová
  • Linda Piknerová
  • Martina Ponížilová

Abstract

The article presents a critical evaluation of the concepts of human development and weak statehood and outlines the relationship between them. It is argued that weak statehood has a very significant impact on the success of development strategies even if they stem from human development goals. For example, weak statehood has a direct effect on the provision or non-provision of public goods by the state. Therefore, connecting these concepts provides a perspective for analyzing various issues linked to implementation of development strategies. In conclusion, the article presents the concept of ‘functional networking’ as a tool for development in the anarchic environment of weak statehood. Functional networking is based on placing unmistakable emphasis on the development of individuals (daily livelihood of families), acceptance of Amartya Sen’s condition of the freedom of individuals in terms of decision and opportunity, and the involvement of civil society.

Suggested Citation

  • Magdaléna Leichtová & Linda Piknerová & Martina Ponížilová, 2012. "Limits of Human Development in Weak States," International Studies, , vol. 49(1-2), pages 1-22, January.
    • Handle: RePEc:sae:intstu:v:49:y:2012:i:1-2:p:1-22
    DOI: 10.1177/0020881713504661
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0020881713504661
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0020881713504661?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. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    2. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    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. Hendrik Thiel & Stephan L. Thomsen, 2015. "Individual Poverty Paths and the Stability of Control-Perception," SOEPpapers on Multidisciplinary Panel Data Research 794, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Duclos, Jean-Yves & Araar, Abdelkrim & Giles, John, 2010. "Chronic and transient poverty: Measurement and estimation, with evidence from China," Journal of Development Economics, Elsevier, vol. 91(2), pages 266-277, March.
    3. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    4. Constantine Angyridis & Brennan Scott Thompson, 2016. "Negative income taxes, inequality and poverty," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 1016-1034, August.
    5. Zelda Okatch & Abu Siddique & Anu Rammohan, 2013. "Determinants of Income Inequality in Botswana," Economics Discussion / Working Papers 13-15, The University of Western Australia, Department of Economics.
    6. Marcello Basili & Paulo Casaca & Alain Chateauneuf & Maurizio Franzini, 2017. "Multidimensional Pigou–Dalton transfers and social evaluation functions," Theory and Decision, Springer, vol. 83(4), pages 573-590, December.
    7. Rolf Aaberge, 2009. "Ranking intersecting Lorenz curves," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 33(2), pages 235-259, August.
    8. Maria Ana Lugo & Esfandiar Maasoumi, 2008. "Multidimensional Poverty Measures from an Information Theory Perspective," Working Papers 85, ECINEQ, Society for the Study of Economic Inequality.
    9. Jens Leth Hougaard & Juan D. Moreno-Ternero & Lars Peter Østerdal, 2013. "On the Measurement of the (Multidimensional) Inequality of Health Distributions," Research on Economic Inequality, in: Health and Inequality, volume 21, pages 111-129, Emerald Group Publishing Limited.
    10. Clauss, Markus & Schnabel, Reinhold, 2008. "Distributional and behavioural effects of the German labour market reform," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 41(4), pages 431-446.
    11. Markus Jäntti & Ravi Kanbur & Milla Nyyssölä & Jukka Pirttilä, 2014. "Poverty and Welfare Measurement on the Basis of Prospect Theory," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(1), pages 182-205, March.
    12. Duclos, Jean-Yves & Sahn, David E. & Younger, Stephen D., 2011. "Partial multidimensional inequality orderings," Journal of Public Economics, Elsevier, vol. 95(3), pages 225-238.
    13. Yitzhaki, Shlomo, 2002. "Do we need a separate poverty measurement?," European Journal of Political Economy, Elsevier, vol. 18(1), pages 61-85, March.
    14. Lucía Gorjón & Sara de la Rica & Antonio Villar, 2018. "The social cost of unemployment: the Spanish labour market from a social welfare approach," Studies on the Spanish Economy eee2018-22, FEDEA.
    15. Mark Bailey & Vani Borooah, 2010. "What enhances mathematical ability? A cross-country analysis based on test scores of 15-year-olds," Applied Economics, Taylor & Francis Journals, vol. 42(29), pages 3723-3733.
    16. Kunihiro Kimura, 1994. "A micro-macro linkage in the measurement of inequality: Another look at the Gini coefficient," Quality & Quantity: International Journal of Methodology, Springer, vol. 28(1), pages 83-97, February.
    17. Gaël Giraud & Cécile RENOUARD & Rakesh GUPTA N. R. & Thomas ROCA, 2017. "Relational Capability Index 2.0," Working Paper aaa92c4c-2ea2-4cb1-abbf-b, Agence française de développement.
    18. Basu, Kaushik & Foster, James E, 1998. "On Measuring Literacy," Economic Journal, Royal Economic Society, vol. 108(451), pages 1733-1749, November.
    19. Barrett C. R. & Salles, M., 1996. "On a generalisation of the Gini coefficient," Mathematical Social Sciences, Elsevier, vol. 31(1), pages 56-56, February.
    20. Satya R. Chakravarty & Conchita D'Ambrosio & Pietro Muliere, 2003. "Target Shortfall Orderings and Indices," Discussion Papers of DIW Berlin 340, DIW Berlin, German Institute for Economic Research.

    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:sae:intstu:v:49:y:2012:i:1-2:p:1-22. 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: SAGE Publications (email available below). General contact details of provider: .

    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.