La demanda externa de uvas frescas de Perú, 1994-2015

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This research work had as its central objective is to analyze the determinants of external demand for fresh grapes from Peru during the period 1994-2015. Regarding the research design it has opted for an approach of longitudinal, descriptive and non-experimental cutting, for which the information co...

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Detalles Bibliográficos
Autor: Pecho Esteban, Luis Alberto
Formato: tesis de grado
Fecha de Publicación:2016
Institución:Universidad Nacional de Trujillo
Repositorio:UNITRU-Tesis
Lenguaje:español
OAI Identifier:oai:dspace.unitru.edu.pe:20.500.14414/5388
Enlace del recurso:https://hdl.handle.net/20.500.14414/5388
Nivel de acceso:acceso abierto
Materia:Exportaciones
Demanda externa
Uvas frescas
Precios
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dc.title.es_ES.fl_str_mv La demanda externa de uvas frescas de Perú, 1994-2015
title La demanda externa de uvas frescas de Perú, 1994-2015
spellingShingle La demanda externa de uvas frescas de Perú, 1994-2015
Pecho Esteban, Luis Alberto
Exportaciones
Demanda externa
Uvas frescas
Precios
title_short La demanda externa de uvas frescas de Perú, 1994-2015
title_full La demanda externa de uvas frescas de Perú, 1994-2015
title_fullStr La demanda externa de uvas frescas de Perú, 1994-2015
title_full_unstemmed La demanda externa de uvas frescas de Perú, 1994-2015
title_sort La demanda externa de uvas frescas de Perú, 1994-2015
author Pecho Esteban, Luis Alberto
author_facet Pecho Esteban, Luis Alberto
author_role author
dc.contributor.advisor.fl_str_mv Castillo Vera, Félix
dc.contributor.author.fl_str_mv Pecho Esteban, Luis Alberto
dc.subject.es_ES.fl_str_mv Exportaciones
Demanda externa
Uvas frescas
Precios
topic Exportaciones
Demanda externa
Uvas frescas
Precios
description This research work had as its central objective is to analyze the determinants of external demand for fresh grapes from Peru during the period 1994-2015. Regarding the research design it has opted for an approach of longitudinal, descriptive and non-experimental cutting, for which the information collected in the theoretical framework was used. To reach the results econometric research was conducted the following variables were included: the demand amount of fresh grapes from Peru (Qd) - measured by the export of fresh grapes - the price of global fresh grapes (PM) , the world price of fresh strawberry (PMF), the world price of tomatoes (PMT), the per capita income of the United States (YPUSA) per capita in the Netherlands (YPHOL) income - as both countries are the most representative to occupy 43% and 72% of exports of Peruvian fresh grapes. When performing regression model had to exclude variables per capita income and other relative prices for the US, because were not statistically significant in applied models and add the variable trend (TREND @ ^ 0.75) to remove the natural tendency of the data and better appreciate the relationship between the dependent variable and independent variables. Finally, foreign demand for fresh grapes is an inelastic good in both countries export more participation. Elasticities of demand variables are: -0,971 in the relative price of grapes for USA, -0935 in the relative price of grapes for the Netherlands, 0.81 in the relative price of strawberry Netherlands (substitute good) and - 0.45 in the relative price of tomatoes for the Netherlands ( complementary good).
publishDate 2016
dc.date.accessioned.none.fl_str_mv 2016-12-16T18:29:34Z
dc.date.available.none.fl_str_mv 2016-12-16T18:29:34Z
dc.date.issued.fl_str_mv 2016
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/bachelorThesis
format bachelorThesis
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.14414/5388
url https://hdl.handle.net/20.500.14414/5388
dc.language.iso.es_ES.fl_str_mv spa
language spa
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dc.rights.es_ES.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/pe/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/pe/
dc.publisher.es_ES.fl_str_mv Universidad Nacional de Trujillo
dc.source.es_ES.fl_str_mv Universidad Nacional de Trujillo
Repositorio institucional - UNITRU
dc.source.none.fl_str_mv reponame:UNITRU-Tesis
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institution UNITRU
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spelling Castillo Vera, FélixPecho Esteban, Luis Alberto2016-12-16T18:29:34Z2016-12-16T18:29:34Z2016https://hdl.handle.net/20.500.14414/5388This research work had as its central objective is to analyze the determinants of external demand for fresh grapes from Peru during the period 1994-2015. Regarding the research design it has opted for an approach of longitudinal, descriptive and non-experimental cutting, for which the information collected in the theoretical framework was used. To reach the results econometric research was conducted the following variables were included: the demand amount of fresh grapes from Peru (Qd) - measured by the export of fresh grapes - the price of global fresh grapes (PM) , the world price of fresh strawberry (PMF), the world price of tomatoes (PMT), the per capita income of the United States (YPUSA) per capita in the Netherlands (YPHOL) income - as both countries are the most representative to occupy 43% and 72% of exports of Peruvian fresh grapes. When performing regression model had to exclude variables per capita income and other relative prices for the US, because were not statistically significant in applied models and add the variable trend (TREND @ ^ 0.75) to remove the natural tendency of the data and better appreciate the relationship between the dependent variable and independent variables. Finally, foreign demand for fresh grapes is an inelastic good in both countries export more participation. Elasticities of demand variables are: -0,971 in the relative price of grapes for USA, -0935 in the relative price of grapes for the Netherlands, 0.81 in the relative price of strawberry Netherlands (substitute good) and - 0.45 in the relative price of tomatoes for the Netherlands ( complementary good).El presente trabajo de investigación se tuvo como objetivo central es analizar los determinantes de la demanda externa de la uva fresca del Perú durante el periodo 1994-2015. Respecto al diseño de investigación se ha optado por un enfoque de corte longitudinal, descriptivo y no experimental, para el cual se utilizó la información recolectada en el marco teórico. Para llegar a los resultados se realizó una investigación econométrica se incluyó las siguientes variables: la cantidad demanda de la uva fresca del Perú (Qd) – medido a través de la exportación de uva fresca -, el precio de la uva fresca mundial (PM), el precio mundial de la fresa fresca (PMF), el precio mundial del tomate (PMT), el ingreso per cápita de los estados unidos (YPUSA), ingreso per cápita de Holanda (YPHOL) - ya que ambos países son los más representativos al ocupar el 43% y 72% de las exportaciones de las uvas frescas peruanas. Al realizar la regresión se tuvo que excluir del modelo las variables de ingresos per cápita y los otros precios relativos para EE.UU, debido a que resultaron no significativas estadísticamente en los modelos aplicados y agregar la variable de tendencia (@TREND^0.75) para quitar la tendencia natural de los datos y apreciar mejor la relación que existe entre la variable dependiente y las variables independientes. Finalmente, la demanda externa de uva fresca es un bien inelástico en ambos países de mayor participación de exportación. Las elasticidades de las variables de la demanda son: -0.971 en el precio relativo de uva para EE.UU, -0.935 en el precio relativo de la uva para Holanda, 0.81 en el precio relativo de fresa para Holanda (bien sustituto) y -0.45 en el precio relativo del tomate para Holanda (bien complementario).spaUniversidad Nacional de TrujilloE;2231SUNEDUinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/pe/Universidad Nacional de TrujilloRepositorio institucional - UNITRUreponame:UNITRU-Tesisinstname:Universidad Nacional de Trujilloinstacron:UNITRUExportacionesDemanda externaUvas frescasPreciosLa demanda externa de uvas frescas de Perú, 1994-2015info:eu-repo/semantics/bachelorThesisTítulo ProfesionalEconomistaEconomíaUniversidad Nacional de Trujillo.Facultad de Ciencias EconomicasORIGINALpechoesteban_luis.pdfpechoesteban_luis.pdfTesis de Economiaapplication/pdf2161640https://dspace.unitru.edu.pe/bitstreams/ea0afd94-f328-4b0b-9923-5b777e7f73bb/download05920ee48300afe7b470e878f42651d0MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://dspace.unitru.edu.pe/bitstreams/7f49fb7a-cd85-49bc-aef7-ebb5041df7ce/download8a4605be74aa9ea9d79846c1fba20a33MD5220.500.14414/5388oai:dspace.unitru.edu.pe:20.500.14414/53882024-05-11 20:21:10.531https://creativecommons.org/licenses/by-nc-nd/2.5/pe/info:eu-repo/semantics/openAccessopen.accesshttps://dspace.unitru.edu.peRepositorio Institucional - UNITRUrepositorios@unitru.edu.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