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This paper investigates the micro determinants of agricultural productivity at a farm level in Paraguay, using the Permanent Household Survey (EPHC) from 2017 to 2019. We estimate an agricultural production function where the main determinants of output are land, machinery, labor, and purchased variable inputs using Cobb-Douglas and a Translog production frontier. Econometric results show that the most productive areas such as Paraguari, Guaira, Caaguazu, [ver mas...]
dc.contributor.authorLema, Rolando Daniel
dc.contributor.authorGatti, Nicolas
dc.coverage.spatialParaguay .......... (nation)(World, South America)es_AR
dc.coverage.spatial1000055es_AR
dc.coverage.temporalstart=2017; end=2019es_AR
dc.date.accessioned2025-09-10T11:04:43Z
dc.date.available2025-09-10T11:04:43Z
dc.date.issued2021-11
dc.identifier.citationLema, D. & Gatti, N. (17-19 agosto 2021). Agricultural productivity in Paraguay: stochastic frontier estimation using rural household data. LVI Reunión Anual de la Asociación Argentina de Economía Política (AAEP), Buenos Aires, Argentina.es_AR
dc.identifier.urihttp://hdl.handle.net/20.500.12123/23749
dc.identifier.urihttps://aaep.org.ar/works/works2021b/4485.pdf
dc.description.abstractThis paper investigates the micro determinants of agricultural productivity at a farm level in Paraguay, using the Permanent Household Survey (EPHC) from 2017 to 2019. We estimate an agricultural production function where the main determinants of output are land, machinery, labor, and purchased variable inputs using Cobb-Douglas and a Translog production frontier. Econometric results show that the most productive areas such as Paraguari, Guaira, Caaguazu, and Caazapa from Southeastern Paraguay are the most efficient. These areas have more infrastructure and have traditionally been the main agricultural areas. We also see that Western Paraguay, predominantly devoted to livestock, is less efficient. More efficient farmers have observed a slowdown in the growth rate of Technical Efficiency (TE) relative to districts such as Ñembucu, Itapúa, or Alto Paraná. While the latter areas had lower TE, Total Factor Productivity (TFP) growth is higher than in the main production areas. The difference between regions is probably due to places that lagged previously and received most of the investments in the last years. From a policy perspective, Paraguay can obtain productivity improvements from the intensification of agriculture rather than incorporating new lands. Considering regional specialization in agriculture and livestock, public and private investment should boost farmers' comparative advantage by region.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherAsociación Argentina de Economía Política (AAEP)es_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceLVI Reunión Anual de la Asociación Argentina de Economía Política (AAEP), 17-19 agosto 2021. Buenos Aires, Argentina.es_AR
dc.subjectProductivityeng
dc.subjectProductividades_AR
dc.subjectEconomicseng
dc.subjectEconomíaes_AR
dc.subjectParaguayes_AR
dc.subjectModelos Estocásticoses_AR
dc.subjectStochastic Modelseng
dc.subjectAgricultura
dc.subjectAgricultureeng
dc.subject.otherStochastic Frontier Approacheng
dc.subject.otherFronteras Estocásticases_AR
dc.subject.otherStochastic Frontier Analysiseng
dc.titleAgricultural productivity in Paraguay: stochastic frontier estimation using rural household dataes_AR
dc.typeinfo:ar-repo/semantics/documento de conferenciaes_AR
dc.typeinfo:eu-repo/semantics/conferenceObjectes_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenCentro de Investigación en Economía y Prospectiva, INTAes_AR
dc.description.filFil: Lema, Rolando Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación en Economía y Prospectiva (CIEP); Argentinaes_AR
dc.description.filFil: Gatti, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación en Economía y Prospectiva (CIEP); Argentinaes_AR
dc.subtypeponencia


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