Analysis of agricultural productivity in Paraguay: a micro econometric approach
- Autores
- Lema, Rolando Daniel; Gatti, Nicolas
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- 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, 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.
Centro de Investigación en Economía y Prospectiva, INTA
Fil: Lema, Rolando Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación en Economía y Prospectiva (CIEP); Argentina
Fil: Lema, Rolando Daniel. Universidad del Centro de Estudios Macroeconómicos de Argentina; Argentina
Fil: Gatti, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación en Economía y Prospectiva (CIEP); Argentina
Fil: Gatti, Nicolás. Cornell University. Smithsonian Institution; Estados Unidos - Fuente
- 31st International Conference of Agricultural Economists, 17-31 August 2021 (online)
- Materia
-
Productivity
Economics
Stochastic Models
Productividad
Economía
Paraguay
Modelos Estocásticos
Stochastic Frontier Approach
Stochastic Frontier Analysis
Fronteras Estocásticas - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/23737
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Analysis of agricultural productivity in Paraguay: a micro econometric approachLema, Rolando DanielGatti, NicolasProductivityEconomicsStochastic ModelsProductividadEconomíaParaguayModelos EstocásticosStochastic Frontier ApproachStochastic Frontier AnalysisFronteras EstocásticasThis 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.Centro de Investigación en Economía y Prospectiva, INTAFil: Lema, Rolando Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación en Economía y Prospectiva (CIEP); ArgentinaFil: Lema, Rolando Daniel. Universidad del Centro de Estudios Macroeconómicos de Argentina; ArgentinaFil: Gatti, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación en Economía y Prospectiva (CIEP); ArgentinaFil: Gatti, Nicolás. Cornell University. Smithsonian Institution; Estados UnidosInternational Association of Agricultural Economists2025-09-09T14:27:36Z2025-09-09T14:27:36Z2021-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/20.500.12123/23737Lema, D. & Gatti, N. (17 to 31 August 2021). Analysis of agricultural productivity in Paraguay: a micro econometric approach. 31st Triennial International Conference of Agricultural Economists (ICAE), online.31st International Conference of Agricultural Economists, 17-31 August 2021 (online)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengParaguay .......... (nation)(World, South America)1000055start=2017; end=2019info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:47:31Zoai:localhost:20.500.12123/23737instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:47:31.408INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Analysis of agricultural productivity in Paraguay: a micro econometric approach |
title |
Analysis of agricultural productivity in Paraguay: a micro econometric approach |
spellingShingle |
Analysis of agricultural productivity in Paraguay: a micro econometric approach Lema, Rolando Daniel Productivity Economics Stochastic Models Productividad Economía Paraguay Modelos Estocásticos Stochastic Frontier Approach Stochastic Frontier Analysis Fronteras Estocásticas |
title_short |
Analysis of agricultural productivity in Paraguay: a micro econometric approach |
title_full |
Analysis of agricultural productivity in Paraguay: a micro econometric approach |
title_fullStr |
Analysis of agricultural productivity in Paraguay: a micro econometric approach |
title_full_unstemmed |
Analysis of agricultural productivity in Paraguay: a micro econometric approach |
title_sort |
Analysis of agricultural productivity in Paraguay: a micro econometric approach |
dc.creator.none.fl_str_mv |
Lema, Rolando Daniel Gatti, Nicolas |
author |
Lema, Rolando Daniel |
author_facet |
Lema, Rolando Daniel Gatti, Nicolas |
author_role |
author |
author2 |
Gatti, Nicolas |
author2_role |
author |
dc.subject.none.fl_str_mv |
Productivity Economics Stochastic Models Productividad Economía Paraguay Modelos Estocásticos Stochastic Frontier Approach Stochastic Frontier Analysis Fronteras Estocásticas |
topic |
Productivity Economics Stochastic Models Productividad Economía Paraguay Modelos Estocásticos Stochastic Frontier Approach Stochastic Frontier Analysis Fronteras Estocásticas |
dc.description.none.fl_txt_mv |
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, 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. Centro de Investigación en Economía y Prospectiva, INTA Fil: Lema, Rolando Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación en Economía y Prospectiva (CIEP); Argentina Fil: Lema, Rolando Daniel. Universidad del Centro de Estudios Macroeconómicos de Argentina; Argentina Fil: Gatti, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación en Economía y Prospectiva (CIEP); Argentina Fil: Gatti, Nicolás. Cornell University. Smithsonian Institution; Estados Unidos |
description |
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, 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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08 2025-09-09T14:27:36Z 2025-09-09T14:27:36Z |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/23737 Lema, D. & Gatti, N. (17 to 31 August 2021). Analysis of agricultural productivity in Paraguay: a micro econometric approach. 31st Triennial International Conference of Agricultural Economists (ICAE), online. |
url |
http://hdl.handle.net/20.500.12123/23737 |
identifier_str_mv |
Lema, D. & Gatti, N. (17 to 31 August 2021). Analysis of agricultural productivity in Paraguay: a micro econometric approach. 31st Triennial International Conference of Agricultural Economists (ICAE), online. |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Paraguay .......... (nation)(World, South America) 1000055 start=2017; end=2019 |
dc.publisher.none.fl_str_mv |
International Association of Agricultural Economists |
publisher.none.fl_str_mv |
International Association of Agricultural Economists |
dc.source.none.fl_str_mv |
31st International Conference of Agricultural Economists, 17-31 August 2021 (online) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
reponame_str |
INTA Digital (INTA) |
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INTA Digital (INTA) |
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Instituto Nacional de Tecnología Agropecuaria |
repository.name.fl_str_mv |
INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
repository.mail.fl_str_mv |
tripaldi.nicolas@inta.gob.ar |
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12.558318 |