Economía Agraria y Recursos Naturales - Agricultural and Resource Economics https://polipapers.upv.es/index.php/EARN <p style="text-align: justify;"><strong>Agricultural and Resource Economics</strong> is the journal of the <a title="Spanish Association of Agricultural Economics" href="https://economiaagraria.es" target="_blank" rel="noopener">Spanish Association of Agricultural Economics</a>. It is published on a semiannual basis since 2001. This publication aims to provide a forum for dissemination and discussion of scientific, technological and technical developments in agricultural and natural resource economics.</p> en-US <p><a href="http://creativecommons.org/licenses/by-nc-nd/4.0/" rel="license"><img src="https://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png" alt="Creative Commons License" /></a></p> <p>This journal is licensed under a <a href="http://creativecommons.org/licenses/by-nc-nd/4.0/" rel="license">Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License</a></p> secretaria.earn@gmail.com (Mercedes Sánchez) polipapers@upv.es (Administrador PoliPapers) Fri, 22 Dec 2023 12:28:39 +0100 OJS 3.3.0.8 http://blogs.law.harvard.edu/tech/rss 60 A cross-country comparison of pig production systems performance: Evidence from EU countries https://polipapers.upv.es/index.php/EARN/article/view/18307 <p>This study estimates and analyze the technical efficiency of pork farms from five EU countries. The Generalized True Random-effects (GTRE) model was used to differentiate between persistent and transitory technical efficiency. The results show that elasticities are robust to various specifications. Spanish farms show the highest average efficiency score. In Denmark, Germany, France, and Poland, the most significant opportunities for growth are found in transitional efficiency. The degree of productive specialization in the five countries has a positive impact in the efficiency. In Denmark, Germany, and France, persistent efficiency has a positive association with the fraction of paid labor.</p> Ricardo Troncoso, Juan Cabas, Bouali Guesmi, José María Gil Copyright (c) 2023 Ricardo Troncoso, Juan Cabas, Bouali Guesmi, José María Gil https://creativecommons.org/licenses/by-nc-nd/4.0 https://polipapers.upv.es/index.php/EARN/article/view/18307 Fri, 22 Dec 2023 00:00:00 +0100 Environmental impacts of certification programmes at Colombian coffee plantations https://polipapers.upv.es/index.php/EARN/article/view/19127 <p>Certification programmes are often promoted as a sustainable solution for the negative environmental and socio-economic effects generated by agricultural activities. This scope review assesses the seven most adopted certification programmes in Colombian coffee plantations and their ecological, economic and social impacts. In addition, this scope review characterises the coffee regions where the studies are conducted and the main methodological approaches that are used. The review revealed that the main methodological approach used in the studies is the mixed approach and that the largest number of studies is not conducted in the departments that report the highest coffee production rates. The main certification program assessed in this review is the Rainforest Alliance. However, this study also reports the existence of several gaps caused by multi-certification effects. In total, 87 reports of ecological, economic, and social impacts were identified. Out of the 87 environmental impact reports of the certifications identified in this study, 66 were positive and only 21 were negative.</p> Diego Ivan Caviedes Rubio, Daniel Ricardo Delgado, Alfredo Olaya Amaya Copyright (c) 2023 Diego Ivan Caviedes Rubio, Daniel Ricardo Delgado, Alfredo Olaya Amaya https://creativecommons.org/licenses/by-nc-nd/4.0 https://polipapers.upv.es/index.php/EARN/article/view/19127 Fri, 22 Dec 2023 00:00:00 +0100 Determinants of agricultural credit among milk producers in Colombia https://polipapers.upv.es/index.php/EARN/article/view/17658 <p>Associated milk producers in the Province of Ubaté (Colombia) exclude themselves from agricultural credit mainly because there are too many requirements, paperwork, and fear of not being able to pay the credit or lose the guarantee. Through decision trees, the determinants of the need, request and approval of agricultural credit are analyzed. The results indicate that the sex of the producers is the criterion that best separates the data and determines the other factors related to agricultural credit decisions: land tenure and area, productivity, educational level, and perceived difficulty.</p> Evelyn Johana Tique, Juan Carlos Barrientos Fuentes Copyright (c) 2023 Evelyn Johana Tique, Juan Carlos Barrientos Fuentes https://creativecommons.org/licenses/by-nc-nd/4.0 https://polipapers.upv.es/index.php/EARN/article/view/17658 Fri, 22 Dec 2023 00:00:00 +0100 Factors affecting exit intentions from dairy farming in the Pampas region of Argentina https://polipapers.upv.es/index.php/EARN/article/view/17466 <p>This article examines the factors which explain exit from dairy farming in the Pampas region of Argentina. A representative sample of dairy farms was used, of which 12 % indicated their intention to exit in the next five years. High technical efficiency and the existence of a successor reduce the likelihood of exit dairy farming; while age of farmer, hired labor, and climate risk exposure are positively associated with exit intentions. The small dairy farms are more prone to exit than large ones, albeit with a smaller marginal effect.</p> Laura Beatriz Gastaldi, Alejandro Juan Galetto, Ignacio Raúl Pace Guerrero Copyright (c) 2023 Laura Beatriz Gastaldi, Alejandro Juan Galetto, Ignacio Raúl Pace Guerrero https://creativecommons.org/licenses/by-nc-nd/4.0 https://polipapers.upv.es/index.php/EARN/article/view/17466 Fri, 22 Dec 2023 00:00:00 +0100 Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network Approach https://polipapers.upv.es/index.php/EARN/article/view/19156 <p>Properly targeted agri-environmental subsidies (AES) can ensure the implementation of the European Green Deal goals. Hence, it is important to know what factors encourage family farms to participate in the AES schemes in order to select appropriate political tools and properly use the allocated subsidies. We propose a Multilayer Perceptron neural network to examine 34 Lithuanian crop family farms and identify the factors affecting their participation in the AES. The results indicate that the decision by the Lithuanian family farms regarding the participation mainly depends on a few factors, including the agricultural production output of the farm and farmers’ education, while other factors, such as farmer age and farm size, were less important.</p> Kristina Gesevičienė, Erika Besusparienė Copyright (c) 2023 Kristina Gesevičienė, Erika Besusparienė https://creativecommons.org/licenses/by-nc-nd/4.0 https://polipapers.upv.es/index.php/EARN/article/view/19156 Fri, 22 Dec 2023 00:00:00 +0100 Transition to sustainable intensification in shrimp farming: challenges and opportunities https://polipapers.upv.es/index.php/EARN/article/view/18395 <p>The main practices of Sustainable Intensification (SI) carried out by small and medium producers in shrimp farming in Sinaloa, Mexico, were analyzed. The sustainability approach was used, from establishment to commercialization. The study shows a limited incorporation of SI practices and the main limiting factors are: poor institutional and regulatory framework, lack of electricity, low adoption of technologies, inefficient food management and supply, and excessive use of antibiotics. This work contributes to the recognition of limitations in the adoption of SI in shrimp farming, and to progress in the sustainability of this activity.</p> Irma Maldonado-Hernández, Juan Antonio Leos-Rodríguez, Norman Aguilar-Gallegos, Leticia Myriam Sagarnaga-Villegas, Juana Astorga-Ceja Copyright (c) 2023 Irma Maldonado-Hernández, Juan Antonio Leos-Rodríguez, Norman Aguilar-Gallegos, Leticia Myriam Sagarnaga-Villegas, Juana Astorga-Ceja https://creativecommons.org/licenses/by-nc-nd/4.0 https://polipapers.upv.es/index.php/EARN/article/view/18395 Fri, 22 Dec 2023 00:00:00 +0100