The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice

Agricultural activity is characterized by an intensive use of capital and a considerable dependence on external financing. Access to credit is often limited by the scarcity of resources and lack of guarantees, seriously affecting the productivity and economic performance of agricultural exploitation...

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Autores:
Silva, Jesús
Varela, Noel
Pineda Lezama, Omar Bonerge
Martínez Sierra, David
Molina Romero, Jainer Enrique
Virviescas Peña, John Anderson
Munera Ramirez, Rubén Dario
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/5135
Acceso en línea:
http://hdl.handle.net/11323/5135
https://repositorio.cuc.edu.co/
Palabra clave:
Agricultural financing
Multicriteria programming
Sustainability rice farming
Decision making
Goals programming
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_43ea8abbc97e8eb30f563792e0ce70fe
oai_identifier_str oai:repositorio.cuc.edu.co:11323/5135
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
title The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
spellingShingle The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
Agricultural financing
Multicriteria programming
Sustainability rice farming
Decision making
Goals programming
title_short The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
title_full The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
title_fullStr The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
title_full_unstemmed The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
title_sort The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
dc.creator.fl_str_mv Silva, Jesús
Varela, Noel
Pineda Lezama, Omar Bonerge
Martínez Sierra, David
Molina Romero, Jainer Enrique
Virviescas Peña, John Anderson
Munera Ramirez, Rubén Dario
dc.contributor.author.spa.fl_str_mv Silva, Jesús
Varela, Noel
Pineda Lezama, Omar Bonerge
Martínez Sierra, David
Molina Romero, Jainer Enrique
Virviescas Peña, John Anderson
Munera Ramirez, Rubén Dario
dc.subject.spa.fl_str_mv Agricultural financing
Multicriteria programming
Sustainability rice farming
Decision making
Goals programming
topic Agricultural financing
Multicriteria programming
Sustainability rice farming
Decision making
Goals programming
description Agricultural activity is characterized by an intensive use of capital and a considerable dependence on external financing. Access to credit is often limited by the scarcity of resources and lack of guarantees, seriously affecting the productivity and economic performance of agricultural exploitations. The objective of this paper is to assess the sustainability of agricultural production chain of rice in Latin America using multi-criteria analysis tools to facilitate decision-making through a benchmarking process to contribute to their economic sustainability. The implementation of the model in an exploitation typy depending on financing sources (conservative, intermediate, and innovative) has revealed the conflict between the goals, being the intermediate exploitation, which gets the best results. The conclusions show that the flexibilization of financing options positively affects the economic performance.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-08-08T15:06:33Z
dc.date.available.none.fl_str_mv 2019-08-08T15:06:33Z
dc.date.issued.none.fl_str_mv 2019-06-26
dc.type.spa.fl_str_mv Pre-Publicación
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_816b
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/preprint
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ARTOTR
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
format http://purl.org/coar/resource_type/c_816b
status_str acceptedVersion
dc.identifier.isbn.spa.fl_str_mv 978-3-030-22808-8
978-3-030-22807-1
dc.identifier.uri.spa.fl_str_mv http://hdl.handle.net/11323/5135
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 978-3-030-22808-8
978-3-030-22807-1
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url http://hdl.handle.net/11323/5135
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.spa.fl_str_mv https://doi.org/10.1007/978-3-030-22808-8_22
dc.relation.references.spa.fl_str_mv 1. Rebolledo, M.C., et al.: Modelación del arroz en Latinoamérica: Estado del arte y base de datos para parametrización. Publications Office of the European Union, Luxembourg (2018) Google Scholar 2. Carrijo, D.R., Lundy, M.E., Linquist, B.A.: Rice yields and water use under alternate wetting and drying irrigation: a meta-analysis. Field Crops Res. 203(1), 173–180 (2017) Google Scholar 3. Pérez, M.P., Cortiza, M.A.P.: Los rendimientos arroceros en cuba: propuesta de un sistema de acciones. Revista Economía y Desarrollo (Impresa) 152(2), 138–154 (2016) Google Scholar 4. Lezama, O.B.P., Izquierdo, N.V., Fernández, D.P., Dorta, R.L.G., Viloria, A., Marín, L.R.: Models of multivariate regression for labor accidents in different production sectors: comparative study. In: Tan, Y., Shi, Y., Tang, Q. (eds.) DMBD 2018. LNCS, vol. 10943, pp. 43–52. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93803-5_5 Google Scholar 5. Suárez, J.A., Beatón, P.A., Escalona, R.F., Montero, O.P.: Energy, environment and development in Cuba. Renew. Sustain. Energy Rev. 16(5), 2724–2731 (2012) Google Scholar 6. Sala, S., Ciuffo, B., Nijkamp, P.: A systemic framework for sustainability assessment. Ecol. Econ. 119(1), 314–325 (2015) Google Scholar 7. Singh, R.K., Murty, H.R., Gupta, S.K., Dikshit, A.K.: An overview of sustainability assessment methodologies. Ecol. Ind. 9(2), 189–212 (2009) Google Scholar 8. Varela, N., Fernandez, D., Pineda, O., Viloria, A.: Selection of the best regression model to explain the variables that influence labor accident case electrical company. J. Eng. Appl. Sci. 12(1), 2956–2962 (2017) Google Scholar 9. Yao, Z., Zheng, X., Liu, C., Lin, S., Zuo, Q., Butterbach-Bahl, K.: Improving rice production sustainability by reducing water demand and greenhouse gas emissions with biodegradable films. Sci. Rep. 7(1), 1–12 (2017) Google Scholar 10. Suárez, D.F.P., Román, R.M.S.: Consumo de água em arroz irrigado por inundação em sistema de multiplas entradas. IRRIGA 1(1), 78–95 (2016) Google Scholar 11. Stuart, A.M., et al.: The application of best management practices increases the profitability and sustainability of rice farming in the central plains of Thailand. Field Crops Res. 220(1), 78–87 (2018) Google Scholar 12. Aprianti, E., Shafigh, P., Bahri, S., Farahani, J.N.: Supplementary cementitious materials origin from agricultural wastes–a review. Constr. Build. Mater. 74(1), 176–187 (2015) Google Scholar 13. Gomes, A.D.S., Scivittaro, W.B., Petrini, J.A., Ferreira, L.H.G.: A água: distribuição, regulamentação e uso na agricultura, com enfase ao arroz irrigado. EMBRAPA Clima Temperado-Documentos (INFOTECA-E) (2018) Google Scholar 14. Donkor, E., Owusu, V.: Effects of land tenure systems on resource-use productivity and efficiency in Ghana’s rice industry. Afr. J. Agric. Resour. Econ. 9(4), 286–299 (2014) Google Scholar 15. Baloch, M.A., Thapa, G.B.: The effect of agricultural extension services: date farmers’ case in Balochistan, Pakistan. J. Saudi Soc. Agric. Sci. 17(3), 282–289 (2018) Google Scholar 16. Izquierdo, N.V., Lezama, O.B.P., Dorta, R.G., Viloria, A., Deras, I., Hernández-Fernández, L.: Fuzzy logic applied to the performance evaluation. honduran coffee sector case. In: Tan, Y., Shi, Y., Tang, Q. (eds.) ICSI 2018. LNCS, vol. 10942, pp. 164–173. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93818-9_16 Google Scholar 17. Bezerra, B.G., Da Silva, B.B., Bezerra, J.R.C., Brandão, Z.N.: Evapotranspiração real obtida através da relação entre o coeficiente dual de cultura da FAO-56 e o NDVI. Revista Brasileira de Meteorologia 25(3), 404–414 (2010) Google Scholar 18. Diaz-Balteiro, L., González-Pachón, J., Romero, C.: Forest management with multiple criteria and multiple stakeholders: An application to two public forests in Spain. Scand. J. For. Res. 24(1), 87–93 (2009) Google Scholar 19. Hák, T., Janoušková, S., Moldan, B.: Sustainable development goals: a need for relevant indicators. Ecol. Ind. 60(1), 565–573 (2016) Google Scholar 20. Lampayan, R.M., Rejesus, R.M., Singleton, G.R., Bouman, B.A.: Adoption and economics of alternate wetting and drying water management for irrigated lowland rice. Field Crops Res. 170(1), 95–108 (2015) Google Scholar 21. Delgado, A., Blanco, F.M.: Modelo Multicriterio Para El Análisis De Alternativas De Financiamiento De Productores De Arroz En El Estado Portuguesa. Venezuela. Agroalimentaria 28(1), 35–48 (2009) Google Scholar
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spelling Silva, JesúsVarela, NoelPineda Lezama, Omar BonergeMartínez Sierra, DavidMolina Romero, Jainer EnriqueVirviescas Peña, John AndersonMunera Ramirez, Rubén Dario2019-08-08T15:06:33Z2019-08-08T15:06:33Z2019-06-26978-3-030-22808-8978-3-030-22807-1http://hdl.handle.net/11323/5135Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Agricultural activity is characterized by an intensive use of capital and a considerable dependence on external financing. Access to credit is often limited by the scarcity of resources and lack of guarantees, seriously affecting the productivity and economic performance of agricultural exploitations. The objective of this paper is to assess the sustainability of agricultural production chain of rice in Latin America using multi-criteria analysis tools to facilitate decision-making through a benchmarking process to contribute to their economic sustainability. The implementation of the model in an exploitation typy depending on financing sources (conservative, intermediate, and innovative) has revealed the conflict between the goals, being the intermediate exploitation, which gets the best results. The conclusions show that the flexibilization of financing options positively affects the economic performance.Silva, JesúsVarela, NoelPineda Lezama, Omar BonergeMartínez Sierra, DavidMolina Romero, Jainer EnriqueVirviescas Peña, John AndersonMunera Ramirez, Rubén DarioengInternational Symposium on Neural Networkshttps://doi.org/10.1007/978-3-030-22808-8_221. Rebolledo, M.C., et al.: Modelación del arroz en Latinoamérica: Estado del arte y base de datos para parametrización. Publications Office of the European Union, Luxembourg (2018) Google Scholar 2. Carrijo, D.R., Lundy, M.E., Linquist, B.A.: Rice yields and water use under alternate wetting and drying irrigation: a meta-analysis. Field Crops Res. 203(1), 173–180 (2017) Google Scholar 3. Pérez, M.P., Cortiza, M.A.P.: Los rendimientos arroceros en cuba: propuesta de un sistema de acciones. Revista Economía y Desarrollo (Impresa) 152(2), 138–154 (2016) Google Scholar 4. Lezama, O.B.P., Izquierdo, N.V., Fernández, D.P., Dorta, R.L.G., Viloria, A., Marín, L.R.: Models of multivariate regression for labor accidents in different production sectors: comparative study. In: Tan, Y., Shi, Y., Tang, Q. (eds.) DMBD 2018. LNCS, vol. 10943, pp. 43–52. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93803-5_5 Google Scholar 5. Suárez, J.A., Beatón, P.A., Escalona, R.F., Montero, O.P.: Energy, environment and development in Cuba. Renew. Sustain. Energy Rev. 16(5), 2724–2731 (2012) Google Scholar 6. Sala, S., Ciuffo, B., Nijkamp, P.: A systemic framework for sustainability assessment. Ecol. Econ. 119(1), 314–325 (2015) Google Scholar 7. Singh, R.K., Murty, H.R., Gupta, S.K., Dikshit, A.K.: An overview of sustainability assessment methodologies. Ecol. Ind. 9(2), 189–212 (2009) Google Scholar 8. Varela, N., Fernandez, D., Pineda, O., Viloria, A.: Selection of the best regression model to explain the variables that influence labor accident case electrical company. J. Eng. Appl. Sci. 12(1), 2956–2962 (2017) Google Scholar 9. Yao, Z., Zheng, X., Liu, C., Lin, S., Zuo, Q., Butterbach-Bahl, K.: Improving rice production sustainability by reducing water demand and greenhouse gas emissions with biodegradable films. Sci. Rep. 7(1), 1–12 (2017) Google Scholar 10. Suárez, D.F.P., Román, R.M.S.: Consumo de água em arroz irrigado por inundação em sistema de multiplas entradas. IRRIGA 1(1), 78–95 (2016) Google Scholar 11. Stuart, A.M., et al.: The application of best management practices increases the profitability and sustainability of rice farming in the central plains of Thailand. Field Crops Res. 220(1), 78–87 (2018) Google Scholar 12. Aprianti, E., Shafigh, P., Bahri, S., Farahani, J.N.: Supplementary cementitious materials origin from agricultural wastes–a review. Constr. Build. Mater. 74(1), 176–187 (2015) Google Scholar 13. Gomes, A.D.S., Scivittaro, W.B., Petrini, J.A., Ferreira, L.H.G.: A água: distribuição, regulamentação e uso na agricultura, com enfase ao arroz irrigado. EMBRAPA Clima Temperado-Documentos (INFOTECA-E) (2018) Google Scholar 14. Donkor, E., Owusu, V.: Effects of land tenure systems on resource-use productivity and efficiency in Ghana’s rice industry. Afr. J. Agric. Resour. Econ. 9(4), 286–299 (2014) Google Scholar 15. Baloch, M.A., Thapa, G.B.: The effect of agricultural extension services: date farmers’ case in Balochistan, Pakistan. J. Saudi Soc. Agric. Sci. 17(3), 282–289 (2018) Google Scholar 16. Izquierdo, N.V., Lezama, O.B.P., Dorta, R.G., Viloria, A., Deras, I., Hernández-Fernández, L.: Fuzzy logic applied to the performance evaluation. honduran coffee sector case. In: Tan, Y., Shi, Y., Tang, Q. (eds.) ICSI 2018. LNCS, vol. 10942, pp. 164–173. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93818-9_16 Google Scholar 17. Bezerra, B.G., Da Silva, B.B., Bezerra, J.R.C., Brandão, Z.N.: Evapotranspiração real obtida através da relação entre o coeficiente dual de cultura da FAO-56 e o NDVI. Revista Brasileira de Meteorologia 25(3), 404–414 (2010) Google Scholar 18. Diaz-Balteiro, L., González-Pachón, J., Romero, C.: Forest management with multiple criteria and multiple stakeholders: An application to two public forests in Spain. Scand. J. For. Res. 24(1), 87–93 (2009) Google Scholar 19. Hák, T., Janoušková, S., Moldan, B.: Sustainable development goals: a need for relevant indicators. Ecol. Ind. 60(1), 565–573 (2016) Google Scholar 20. Lampayan, R.M., Rejesus, R.M., Singleton, G.R., Bouman, B.A.: Adoption and economics of alternate wetting and drying water management for irrigated lowland rice. Field Crops Res. 170(1), 95–108 (2015) Google Scholar 21. Delgado, A., Blanco, F.M.: Modelo Multicriterio Para El Análisis De Alternativas De Financiamiento De Productores De Arroz En El Estado Portuguesa. Venezuela. Agroalimentaria 28(1), 35–48 (2009) Google ScholarCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Agricultural financingMulticriteria programmingSustainability rice farmingDecision makingGoals programmingThe Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of RicePre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALThe Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice.pdfThe Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice.pdfapplication/pdf527303https://repositorio.cuc.edu.co/bitstreams/beaa2c17-b868-4807-a216-7b2fc9487986/download42e9cfe1b71352d9f10b8b6f35002766MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/f753e33a-b722-49a3-bdec-ce772f9b75c0/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/7a2f934f-f10e-4097-8763-ca7fcd028792/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILThe Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice.pdf.jpgThe Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice.pdf.jpgimage/jpeg42461https://repositorio.cuc.edu.co/bitstreams/2fafcdc4-428b-4e0b-b872-1e53c906f0c0/download73de0487266884fde8150b5e345c674dMD55TEXTThe Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice.pdf.txtThe Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice.pdf.txttext/plain30797https://repositorio.cuc.edu.co/bitstreams/bef10553-3621-4929-8bcd-2a246df05b05/downloada18c56bcbe3785541761cadd4537d676MD5611323/5135oai:repositorio.cuc.edu.co:11323/51352024-09-16 16:34:17.352http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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