A systematic review of the evaluation of agricultural policies: Using prisma

Background: The food security of each country depends on agricultural development, which is sensitive to the implementation of agricultural public policies. These must evolve as new ruralities arise, with new phenomena, such as climate change, ecosystem services, changes in consumer preferences, glo...

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Main Authors: Lina M. Bastidas-Orrego, Natalia Jaramillo, Julián A. Castillo-Grisales, Yony F. Ceballos
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402307500X
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author Lina M. Bastidas-Orrego
Natalia Jaramillo
Julián A. Castillo-Grisales
Yony F. Ceballos
author_facet Lina M. Bastidas-Orrego
Natalia Jaramillo
Julián A. Castillo-Grisales
Yony F. Ceballos
author_sort Lina M. Bastidas-Orrego
collection DOAJ
description Background: The food security of each country depends on agricultural development, which is sensitive to the implementation of agricultural public policies. These must evolve as new ruralities arise, with new phenomena, such as climate change, ecosystem services, changes in consumer preferences, globalization, sustainability and ecological awareness. Hence, of ex-ante and ex-post evaluations of agricultural policies, are important because they provide timely information to government entities. There are different methodologies for policy evaluation, which have evolved over time. Aims: This systematic review aims to identify manuscript that systematically review methodologies, policies and variables evaluated during the last 50 years to determine whether a policy has been efficient. To assess the quality of the included manuscript and to describe the measures and domains identified. Methods: EBSCO, Dialnet, SciELO, Scopus, Science Direct, Dimensions and Web of Science were searched. A total of 154 manuscript were identified, the review was finalized by reviewing the title, and abstract and the review was finalized by reviewing the title, abstract and full text, resolving disagreements. Of these 154 manuscripts, 37 met the criteria and were included in the analysis. PRISMA checklists were used to evaluate the methodology. Outcomes and results: It were found that there are few studies on the design of evaluation methodologies for agricultural policies in the literature. Research shows that the latest policy evaluation proposals present more complex methodologies involving tools such as machine learning and agent-based modelling (ABM). On the other hand, the issue of sustainability as a policy is seen in the agri-environmental policy evaluation. Conclusions and implications: The evolution of agricultural policy methodologies can be observed at the beginning with the use of quantitative methodologies, such as matrices, statistics and econometrics. With the emergence of new variables, such as agri-environmental variables, citizen participation and market opening, methodologies have become more comprehensive, combining qualitative and quantitative variables. Methodologies were identified that evaluate robust agricultural policies and others that focus on the evaluation of one or two policies. These studies are important for research that focuses not only on the evaluation of agricultural policies but also on their design and implementation processes.
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spelling doaj.art-0a9bd54d298f4d2983b0d686b160e2f72023-10-30T06:05:39ZengElsevierHeliyon2405-84402023-10-01910e20292A systematic review of the evaluation of agricultural policies: Using prismaLina M. Bastidas-Orrego0Natalia Jaramillo1Julián A. Castillo-Grisales2Yony F. Ceballos3Capital Contable Research Group, Corporación Universitaria Remington, Colombia; Mundo Organizacional, Facultad de ciencias Empresariales Research Group, Corporación Universitaria Remington, Colombia; Corresponding author. Corporación Universitaria Remington, Carrera 51 # 49-59, Medellín, Antioquia, Colombia.SUMAR Research Group, Fundación Universitaria María Cano, Facultad Ciencias Empresariales, Colombia; Grupo de cerámicos y vítreos, Escuela de Física, Universidad Nacional de Colombia, Calle 59A 63-20, 050034, Medellín, ColombiaIngeniería y Sociedad Research Group, Facultad de Ingenieria, Universidad de Antioquia, Medellín, ColombiaIngeniería y Tecnologías de las Organizaciones y de la Sociedad (ITOS) Research Group, Facultad de Ingeneniería, Universidad de Antioquia, Medellín, ColombiaBackground: The food security of each country depends on agricultural development, which is sensitive to the implementation of agricultural public policies. These must evolve as new ruralities arise, with new phenomena, such as climate change, ecosystem services, changes in consumer preferences, globalization, sustainability and ecological awareness. Hence, of ex-ante and ex-post evaluations of agricultural policies, are important because they provide timely information to government entities. There are different methodologies for policy evaluation, which have evolved over time. Aims: This systematic review aims to identify manuscript that systematically review methodologies, policies and variables evaluated during the last 50 years to determine whether a policy has been efficient. To assess the quality of the included manuscript and to describe the measures and domains identified. Methods: EBSCO, Dialnet, SciELO, Scopus, Science Direct, Dimensions and Web of Science were searched. A total of 154 manuscript were identified, the review was finalized by reviewing the title, and abstract and the review was finalized by reviewing the title, abstract and full text, resolving disagreements. Of these 154 manuscripts, 37 met the criteria and were included in the analysis. PRISMA checklists were used to evaluate the methodology. Outcomes and results: It were found that there are few studies on the design of evaluation methodologies for agricultural policies in the literature. Research shows that the latest policy evaluation proposals present more complex methodologies involving tools such as machine learning and agent-based modelling (ABM). On the other hand, the issue of sustainability as a policy is seen in the agri-environmental policy evaluation. Conclusions and implications: The evolution of agricultural policy methodologies can be observed at the beginning with the use of quantitative methodologies, such as matrices, statistics and econometrics. With the emergence of new variables, such as agri-environmental variables, citizen participation and market opening, methodologies have become more comprehensive, combining qualitative and quantitative variables. Methodologies were identified that evaluate robust agricultural policies and others that focus on the evaluation of one or two policies. These studies are important for research that focuses not only on the evaluation of agricultural policies but also on their design and implementation processes.http://www.sciencedirect.com/science/article/pii/S240584402307500XPolicy evaluationAgricultural policiesSystematic reviewVariables of agricultural policyTypes of agricultural policies
spellingShingle Lina M. Bastidas-Orrego
Natalia Jaramillo
Julián A. Castillo-Grisales
Yony F. Ceballos
A systematic review of the evaluation of agricultural policies: Using prisma
Heliyon
Policy evaluation
Agricultural policies
Systematic review
Variables of agricultural policy
Types of agricultural policies
title A systematic review of the evaluation of agricultural policies: Using prisma
title_full A systematic review of the evaluation of agricultural policies: Using prisma
title_fullStr A systematic review of the evaluation of agricultural policies: Using prisma
title_full_unstemmed A systematic review of the evaluation of agricultural policies: Using prisma
title_short A systematic review of the evaluation of agricultural policies: Using prisma
title_sort systematic review of the evaluation of agricultural policies using prisma
topic Policy evaluation
Agricultural policies
Systematic review
Variables of agricultural policy
Types of agricultural policies
url http://www.sciencedirect.com/science/article/pii/S240584402307500X
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