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dc.contributor.authorDe Vreyer, Philippe*
dc.contributor.authorHerrera, Javier*
dc.contributor.authorMesplé-Somps, Sandrine*
dc.date.accessioned2016-10-07T09:32:31Z
dc.date.available2016-10-07T09:32:31Z
dc.date.issued2009
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/15873
dc.language.isoenen
dc.subjectCroissance
dc.subjectTrappes spatiales de pauvreté
dc.subjectPérou
dc.subjectServices publics
dc.subjectPoverty
dc.subjectGeographic capital
dc.subjectConsumption
dc.subjectCommunity
dc.subjectStatistics
dc.subject.ddc338.9en
dc.subject.classificationjelC.C3.C33en
dc.subject.classificationjelH.H2.H23en
dc.subject.classificationjelI.I1.I18en
dc.subject.classificationjelI.I3.I32en
dc.subject.classificationjelI.I3.I38en
dc.subject.classificationjelO.O1.O12en
dc.titleConsumption Growth and Spatial Poverty Traps: An Analysis of the Effect of Social Services and Community Infrastructures on Living Standards in Rural Peru
dc.typeChapitre d'ouvrage
dc.contributor.editoruniversityotherIRD
dc.description.abstractenWhy are there areas with persistenly low levels of income or consumption? This could result from the concentration of households with a low capital endowment or from variations in households’ environment. Peru is a country with a very much fragmented topography and climate, that combines dry deserts, high mountains and rain forest. One important question is to assess the weight of the geographic endowment in the growth process. If differences in geographic endowment matter more than those in households’ characteristics, then encouraging migration to better endowed regions might be a good development policy whereas, in the opposite, it might be better to invest in households’ capital. Of course several factors, either geographic or not, can combine to explain persistent poverty in a given area. In this chapter we test the effect of local geographic endowment of capital on household growth in living standards in rural Peru, using a four years unbalanced panel data set. Our theoretical model of household consumption growth allows for the effect of community variables to modify the returns to augmented capital in the household production function. Three different sources of data are used: the ENAHO 1997-2000 households surveys, the population census of 1993 and the district infrastructure census of 1997. Altogether the addition of these different data sources makes an unusually rich data set, at least when considered with developing country standards. As in Jalan and Ravallion (2002), we use a quasi-differencing method to identify the impact of locally determined geographic and socioeconomic variables, while removing unobserved household and community level fixed effects. GMM are then used to estimate the model parameters. Several significant interesting results appear, showing that private consumption growth depends on local geographic variables, but more on local endowments of private and public assets than on pure geographic characteristics. This suggests to combine policies focused on private and public asset endowments that will reinforce local positive externalities, with infrastructure investments that will help poor households to take advantage of growth opportunities, offered by more dynamic markets across local communities.
dc.identifier.citationpages129-158
dc.relation.ispartoftitlePoverty, Inequality and Policy in Latin America
dc.relation.ispartofeditorStefan Klasen and Felicitas Nowak-Lehman
dc.relation.ispartofpublnameMIT Press
dc.relation.ispartofpublcityCambridge (Mass)
dc.relation.ispartofdate2009
dc.subject.ddclabelCroissance et développement économiquesen
dc.relation.ispartofisbn978-0-262-11324-3
dc.relation.forthcomingnonen
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2017-02-20T17:35:43Z
hal.person.labIds*
hal.person.labIds*
hal.person.labIds*
hal.identifierhal-01377603*


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