IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-01202322.html
   My bibliography  Save this paper

« Les actifs productifs influencent-ils le niveau de revenu en milieu rural ? Evidence empirique issue de Shabunda/Est de la RD Congo »

Author

Listed:
  • Par Mardochée

    (LASER - Laboratoire des sciences économiques de Richter - UM1 - Université Montpellier 1)

  • Christian Mabi

    (LASER - Laboratoire des sciences économiques de Richter - UM1 - Université Montpellier 1)

Abstract

Le débat actuel sur la lutte contre la pauvreté durable tend à cibler les actifs que possèdent les pauvres plutôt que leur consommation ou leurs revenus. Cet article s'inscrit dans l'« asset-basedapproach » où l'objectif est d'identifier l'influence de la détention d'actifs productifs sur le niveau de revenu dans les régions rurales de l'Est de la RD Congo, en particulier, à Shabunda. Nous avons utilisé le modèle de régression logistique ordonnée pour en identifier l'influence, et l'Analyse en Composante Principale pour déterminer les pondérations des actifs nécessaires à la construction de l'indice d'actifs productifs. L'analyse a porté sur 142 sujets. Les résultats montrent d'une part, qu'il existe une surreprésentation d'individus pauvres en actifs productifs et une prévalence d'inégalités dans la distribution des actifs productifs à Shabunda ; et d'autre part, que les actifs humains (le temps de travail) et naturels (la terre) influencent positivement et significativement le niveau de revenu à Shabunda. Ainsi, les politiques centrées autour de ces actifs permettraient aux ménages ruraux de Shabunda d'escalader les échelons de revenu. Abstract The currentdebate on the fightagainstpersistent poverty tends to targetassetsowned by the poorratherthantheirconsumption or incomes. This article is consistent with the asset-basedapproach, whose objective is to identify the influence of the holding of productive assets on the incomelevel in rural DR Congo, particularly in Shabunda. We have applied the orderedlogisticregression model to identifyits impact, and the Principal Component Analysis to determine the weightings of assetsthat are necessary to the making of the productive asset index. The analysisencompassed 142 subjects. Resultsreveal, on the one hand, thatthereexists an overrepresentation of poorindividuals in productive assets and a prevalence of inequalities in the distribution of productive assets in Shabunda, and, on the other hand, thathumanassets (work time) and naturalones (land) influence positively and significantly the incomelevel in Shabunda. Thus, policiescentered on theseassetswouldallowShabunda rural households to climb up the echelons of income.

Suggested Citation

  • Par Mardochée & Christian Mabi, 2015. "« Les actifs productifs influencent-ils le niveau de revenu en milieu rural ? Evidence empirique issue de Shabunda/Est de la RD Congo »," Working Papers hal-01202322, HAL.
    • Handle: RePEc:hal:wpaper:hal-01202322
    Note: View the original document on HAL open archive server: https://auf.hal.science/hal-01202322
    as

    Download full text from publisher

    File URL: https://auf.hal.science/hal-01202322/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Escobal, Javier, 2001. "The Determinants of Nonfarm Income Diversification in Rural Peru," World Development, Elsevier, vol. 29(3), pages 497-508, March.
    2. Winters, Paul & Davis, Benjamin & Carletto, Gero & Covarrubias, Katia & Quiñones, Esteban J. & Zezza, Alberto & Azzarri, Carlo & Stamoulis, Kostas, 2009. "Assets, Activities and Rural Income Generation: Evidence from a Multicountry Analysis," World Development, Elsevier, vol. 37(9), pages 1435-1452, September.
    3. Van Landeghem, Bert & Swinnen, Johan F.M. & Vranken, Liesbet, 2008. "Land and Happiness: Land Distribution and Subjective Well-Being in Moldova," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44375, European Association of Agricultural Economists.
    4. Carlo Azzarri & Gero Carletto & Benjamin Davis & Alberto Zezza, 2006. "Monitoring Poverty Without Consumption Data : An Application Using the Albania Panel Survey," Eastern European Economics, Taylor & Francis Journals, vol. 44(1), pages 59-82, February.
    5. Mendola, Mariapia & Simtowe, Franklin, 2015. "The Welfare Impact of Land Redistribution: Evidence from a Quasi-Experimental Initiative in Malawi," World Development, Elsevier, vol. 72(C), pages 53-69.
    6. David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 463-489, December.
    7. Zimmerman, Frederick J. & Carter, Michael R., 2003. "Asset smoothing, consumption smoothing and the reproduction of inequality under risk and subsistence constraints," Journal of Development Economics, Elsevier, vol. 71(2), pages 233-260, August.
    8. Siegel, Paul B., 2005. "Using an asset-based approach to identify drivers of sustainable rural growth and poverty reduction in Central America : a conceptual framework," Policy Research Working Paper Series 3475, The World Bank.
    9. Deininger, Klaus & Olinto, Pedro, 2000. "Asset distribution, inequality, and growth," Policy Research Working Paper Series 2375, The World Bank.
    10. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    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. Mathieu J. P. Poirier & Karen A. Grépin & Michel Grignon, 2020. "Approaches and Alternatives to the Wealth Index to Measure Socioeconomic Status Using Survey Data: A Critical Interpretive Synthesis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 1-46, February.
    2. You, Jing, 2014. "Risk, under-investment in agricultural assets and dynamic asset poverty in rural China," China Economic Review, Elsevier, vol. 29(C), pages 27-45.
    3. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    4. Janz, Teresa & Augsburg, Britta & Gassmann, Franziska & Nimeh, Zina, 2023. "Leaving no one behind: Urban poverty traps in Sub-Saharan Africa," World Development, Elsevier, vol. 172(C).
    5. Corral, Paul & Radchenko, Natalia, 2017. "What’s So Spatial about Diversification in Nigeria?," World Development, Elsevier, vol. 95(C), pages 231-253.
    6. Patrick Ward, 2014. "Measuring the Level and Inequality of Wealth: An Application to China," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 613-635, December.
    7. Marco d’Errico & Donato Romano & Rebecca Pietrelli, 2018. "Household resilience to food insecurity: evidence from Tanzania and Uganda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(4), pages 1033-1054, August.
    8. Katharina Lehmann-Uschner & Kati Krähnert, 2018. "When Shocks Become Persistent: Household-Level Asset Growth in the Aftermath of an Extreme Weather Event," Discussion Papers of DIW Berlin 1759, DIW Berlin, German Institute for Economic Research.
    9. Quang Tran, Tuyen, 2012. "A review on the link between nonfarm activities, land and rural livelihoods in Vietnam and developing countries," MPRA Paper 55850, University Library of Munich, Germany, revised 17 Nov 2013.
    10. Luisa Natali & Marta Moratti, 2012. "Measuring Household Welfare: Short versus long consumption modules," Papers inwopa671, Innocenti Working Papers.
    11. Lovaton Davila, Rodrigo & McCarthy, Aine Seitz & Gondwe, Dorothy & Kirdruang, Phatta & Sharma, Uttam, 2022. "Water, walls, and bicycles: wealth index composition using census microdata," Journal of Demographic Economics, Cambridge University Press, vol. 88(1), pages 79-120, March.
    12. Mohamed Arouri & Nguyen Viet Cuong, 2020. "Wealth inequality and inter-governorate migration: Evidence from Egypt," Progress in Development Studies, , vol. 20(2), pages 119-139, April.
    13. Raffaella Castagnini & Klaus Deininger & Maria A. Gonzalez, 2004. "Comparing land reform and land markets in colombia: impacts on equity and efficiency," Policy Research Working Paper Series 3258, The World Bank.
    14. Adriana Cardozo & Melanie Grosse, 2009. "Pro-Poor Growth Using Non-Income Indicators: An Empirical Illustration for Colombia," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 9, Courant Research Centre PEG.
    15. Jing Dai & Stefan Sperlich & Walter Zucchini, 2011. "Estimating and Predicting Household Expenditures and Income Distributions," MAGKS Papers on Economics 201147, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    16. Mohamed El Hedi Arouri & Nguyen Viet Cuong, 2018. "On the Impact of Household Asset level and Inequality on Inter-governorate Migration: Evidence from Egypt," Working Papers 1182, Economic Research Forum, revised 12 Apr 2018.
    17. Rammohan, Anu & Pritchard, Bill, 2014. "The Role of Landholding as a Determinant of Food and Nutrition Insecurity in Rural Myanmar," World Development, Elsevier, vol. 64(C), pages 597-608.
    18. Baris Ucar, 2015. "The Usability of Asset Index as an Indicator of Household Economic Status in Turkey: Comparison with Expenditure and Income Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(3), pages 745-760, April.
    19. Giesbert, Lena & Schindler, Kati, 2012. "Assets, Shocks, and Poverty Traps in Rural Mozambique," World Development, Elsevier, vol. 40(8), pages 1594-1609.
    20. Permanyer, Iñaki, 2013. "Using Census Data to Explore the Spatial Distribution of Human Development," World Development, Elsevier, vol. 46(C), pages 1-13.

    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:hal:wpaper:hal-01202322. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.