Indicadores clave de la cadena de valor agroindustrial azucarera cubana: análisis de contenido por procesos y dimensiones de desempeño y sostenibilidad
DOI:
https://doi.org/10.58763/rc2026642Palabras clave:
Desarrollo sostenible, Economía agraria, Estadísticas agrícolas, Industria alimentariaResumen
Introducción: La agroindustria azucarera constituyó históricamente un eje principal de la economía cubana, y su reconversión hacia un modelo sostenible demandó sistemas de indicadores capaces de integrar las dimensiones productiva, económica, social, ambiental y tecnológica de la cadena de valor. El objetivo fue caracterizar el sistema de indicadores clave de la cadena de valor agroindustrial azucarera cubana, mediante un análisis de contenido por proceso clave y por dimensión de desempeño y sostenibilidad. Metodología: Se aplicó un enfoque mixto, de tipo descriptivo-analítico, mediante análisis documental y de contenido sobre la matriz de indicadores institucional, con un esquema de codificación en siete dimensiones de desempeño y sostenibilidad. Resultados: Los resultados evidenciaron 124 relaciones de indicadores, concentradas en las dimensiones de producción y capacidad (23,4 %), recursos físicos e insumos (19,4 %), frente a una baja representación de las dimensiones económica-financiera (8,1 %) y de innovación y tecnología (3,2 %), esta última sin indicadores cuantitativos explícitos en los procesos de apoyo. La comparación con la literatura mostró un contraste: mayor peso de lo ambiental y la digitalización en la literatura internacional. Conclusiones: Se concluyó que el sistema de indicadores requiere un rebalanceo hacia la sostenibilidad ambiental y la innovación para alinearse con marcos recientes de medición del desempeño de cadenas de valor agroindustriales.
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Ahi, P., & Searcy, C. (2013). A comparative literature analysis of definitions for green and sustainable supply chain management. Journal of Cleaner Production, 52, 329–341. https://doi.org/10.1016/j.jclepro.2013.02.018
Beamon, B. M. (1998). Supply chain design and analysis: Models and methods. International Journal of Production Economics, 55(3), 281–294. https://doi.org/10.1016/S0925-5273(98)00079-6
Bordonal, R. O., Carvalho, J. L. N., Lal, R., de Figueiredo, E. B., de Oliveira, B. G., & La Scala, N., Jr. (2018). Sustainability of sugarcane production in Brazil. A review. Agronomy for Sustainable Development, 38, 13. https://doi.org/10.1007/s13593-018-0490-x
Bourne, M., Mills, J., Wilcox, M., Neely, A., & Platts, K. (2000). Designing, implementing and updating performance measurement systems. International Journal of Operations & Production Management, 20(7), 754–771. https://doi.org/10.1108/01443570010330739
Carlucci, F. V., Lemos, S. V., Salgado, A. P., Jr., & Rebehy, P. C. P. W. (2021). Environmental, field and impurity factors to increase the agricultural performance of Brazilian and Australian sugarcane mills. Clean Technologies and Environmental Policy, 23, 2083–2100. https://doi.org/10.1007/s10098-021-02105-z
Carter, C. R., & Rogers, D. S. (2008). A framework of sustainable supply chain management: Moving toward new theory. International Journal of Physical Distribution & Logistics Management, 38(5), 360–387. https://doi.org/10.1108/09600030810882816
Carter, C. R., & Easton, P. L. (2011). Sustainable supply chain management: Evolution and future directions. International Journal of Physical Distribution & Logistics Management, 41(1), 46–62. https://doi.org/10.1108/09600031111101420
Chávez, M. M. M., Sarache, W., Costa, Y., & Soto, J. (2020). Multiobjective stochastic scheduling of upstream operations in a sustainable sugarcane supply chain. Journal of Cleaner Production, 276, 123305. https://doi.org/10.1016/j.jclepro.2020.123305
Contreras-Lisperguer, R., Batuecas, E., Mayo, C., Díaz, R., Pérez, F. J., & Springer, C. (2018). Sustainability assessment of electricity cogeneration from sugarcane bagasse in Jamaica. Journal of Cleaner Production, 200, 390–401. https://doi.org/10.1016/j.jclepro.2018.07.322
Correa-Porcel, V., Piedra-Muñoz, L., & Galdeano-Gómez, E. (2021). Water–energy–food nexus in the agri-food sector: Research trends and innovating practices. International Journal of Environmental Research and Public Health, 18(24), 12966. https://doi.org/10.3390/ijerph182412966
Duarte, A., Salgado Jr, A. P., Lemos, S. V., de Souza Jr, M. A. A., & de Almeida Antunes, F (2019). Proposal of operating best practices that contribute to the technical efficiency in Brazilian sugar and ethanol mills. Journal of Cleaner Production, 214, 173–184. https://doi.org/10.1016/j.jclepro.2018.12.204
Elkington, J. (1997). Cannibals with forks: The triple bottom line of 21st century business. Capstone.
García, C. A., García-Treviño, E. S., Aguilar-Rivera, N., & Armendáriz, C. (2016). Carbon footprint of sugar production in Mexico. Journal of Cleaner Production, 112(4), 2632–2641. https://doi.org/10.1016/j.jclepro.2015.09.113
García-López, Y., González-Sáez, L. Y., & Cabrera-Hernández, J. A. (2022). Aplicaciones de aprendizaje automático para el análisis industrial de la provisión azucarera en Matanzas, Cuba. Revista U.D.C.A Actualidad & Divulgación Científica, 25(2), e2334. https://doi.org/10.31910/rudca.v25.n2.2022.2334
García-López, Y., González-Sáez, L. Y., & Cabrera-Hernández, J. A. (2024). Pronóstico de la provisión azucarera agroindustrial en Matanzas, Cuba. Revista U.D.C.A Actualidad & Divulgación Científica, 27(2), e2555. https://doi.org/10.31910/rudca.v27.n2.2024.2555
Gereffi, G., Humphrey, J., & Sturgeon, T. (2005). The governance of global value chains. Review of International Political Economy, 12(1), 78–104. https://doi.org/10.1080/09692290500049805
Gilani, H., Sahebi, H., & Oliveira, F. (2020). Sustainable sugarcane-to-bioethanol supply chain network design: A robust possibilistic programming model. Applied Energy, 278, 115653. https://doi.org/10.1016/j.apenergy.2020.115653
Gonçalves, F., Perna, R., Lopes, E., Maciel, R., Tovar, L., & Lopes, M. (2021). Strategies to improve the environmental efficiency and the profitability of sugarcane mills. Biomass and Bioenergy, 148, 106052. https://doi.org/10.1016/j.biombioe.2021.106052
Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A framework for supply chain performance measurement. International Journal of Production Economics, 87(3), 333–347. https://doi.org/10.1016/j.ijpe.2003.08.003
Gunasekaran, A., & Kobu, B. (2007). Performance measures and metrics in logistics and supply chain management: A review of recent literature (1995–2004) for research and applications. International Journal of Production Research, 45(12), 2819–2840. https://doi.org/10.1080/00207540600806513
Haghjoo, R., Choobchian, S., Morid, S., & Abbasi, E. (2022). Development and validation of management assessment tools considering water, food, and energy security nexus at the farm level. Environmental and Sustainability Indicators, 16, 100206. https://doi.org/10.1016/j.indic.2022.100206
Hamidov, A., & Helming, K. (2020). Sustainability considerations in water–energy–food nexus research in irrigated agriculture. Sustainability, 12(15), 6274. https://doi.org/10.3390/su12156274
Hassoun, A., Marvin, H. J. P., Bouzembrak, Y., Barba, F. J., Castagnini, J. M., Pallarés, N., Rabail, R., Aadil, R. M., Bangar, S. P., Bhat, R., Cropotova, J., Maqsood, S., & Regenstein, J. M. (2023). Digital transformation in the agri-food industry: Recent applications and the role of the COVID-19 pandemic. Frontiers in Sustainable Food Systems, 7, 1217813. https://doi.org/10.3389/fsufs.2023.1217813
Higgins, A. (2006). Scheduling of road vehicles in sugarcane transport: A case study at an Australian sugar mill. European Journal of Operational Research, 170(3), 987–1000. https://doi.org/10.1016/j.ejor.2004.07.055
Jabbour, A. B. L. de S., Arantes, A. F., & Jabbour, C. J. C. (2013). Green supply chain management: Mapping the territory. International Journal of Environment and Sustainable Development, 12(2), 145–167. https://doi.org/10.1504/IJESD.2013.052975
Jonker, J. G. G., Junginger, H. M., Verstegen, J. A., Lin, T., Rodríguez, L. F., Ting, K. C., Faaij, A. P. C., & van der Hilst, F. (2016). Supply chain optimization of sugarcane first generation and eucalyptus second generation ethanol production in Brazil. Applied Energy, 173, 494–510. https://doi.org/10.1016/j.apenergy.2016.04.069
Kadwa, M., & Bezuidenhout, C. N. (2015). Modelling sugarcane supply consistency at a sugar mill. Computers and Electronics in Agriculture, 111, 107–111. https://doi.org/10.1016/j.compag.2014.12.019
Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard—Measures that drive performance. Harvard Business Review, 70(1), 71–79.
Khatiwada, D., Leduc, S., Silveira, S., & McCallum, I. (2016). Optimizing ethanol and bioelectricity production in sugarcane biorefineries in Brazil. Renewable Energy, 85, 371–386. https://doi.org/10.1016/j.renene.2015.06.009
Lemos, S. V., Salgado, A. P., Jr., Duarte, A., de Souza, M. A. A., Jr., & Antunes, F. A. (2019). Agroindustrial best practices that contribute to technical efficiency in Brazilian sugar and ethanol production mills. Energy, 177, 397–411. https://doi.org/10.1016/j.energy.2019.04.053
Machado, R. L., & Da Cruz, T. V. (2022). An empirical approach analyzing the socioeconomic sustainability of the international sugarcane trade. Sustainability, 14(4), 2198. https://doi.org/10.3390/su14042198
Morella, P., Lambán, M. P., Royo, J., & Sánchez, J. C. (2021). Study and analysis of the implementation of 4.0 technologies in the agri-food supply chain: A state of the art. Agronomy, 11(12), 2526. https://doi.org/10.3390/agronomy11122526
Mota, B., Gomes, M. I., Carvalho, A., & Barbosa-Povoa, A. P. (2015). Towards supply chain sustainability: Economic, environmental and social design and planning. Journal of Cleaner Production, 105, 14–27. https://doi.org/10.1016/j.jclepro.2014.07.052
Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design: A literature review and research agenda. International Journal of Operations & Production Management, 15(4), 80–116. https://doi.org/10.1108/01443579510083622
Neely, A., Mills, J., Platts, K., Richards, H., Gregory, M., Bourne, M., & Kennerley, M. (2000). Performance measurement system design: Developing and testing a process-based approach. International Journal of Operations & Production Management, 20(10), 1119–1145. https://doi.org/10.1108/01443570010343708
Ometto, A. R., Hauschild, M. Z., & Roma, W. N. L. (2009). Lifecycle assessment of fuel ethanol from sugarcane in Brazil. The International Journal of Life Cycle Assessment, 14, 236–247. https://doi.org/10.1007/s11367-009-0065-9
Orou Sannou, R., Kirschke, S., & Günther, E. (2023). Integrating the social perspective into the sustainability assessment of agri-food systems: A review of indicators. Sustainable Production and Consumption, 39, 175–190. https://doi.org/10.1016/j.spc.2023.05.014
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Porter, M. E. (1985). Competitive advantage: Creating and sustaining superior performance. Free Press.
Prasara-A, J., Gheewala, S. H., Silalertruksa, T., Pongpat, P., & Sawaengsak, W. (2019). Environmental and social life cycle assessment to enhance sustainability of sugarcane-based products in Thailand. Clean Technologies and Environmental Policy, 21, 1447–1458. https://doi.org/10.1007/s10098-019-01715-y
Renouf, M. A., Pagan, R. J., & Wegener, M. K. (2013). Bio-production from Australian sugarcane: An environmental investigation of product diversification in an agro-industry. Journal of Cleaner Production, 39, 87–96. https://doi.org/10.1016/j.jclepro.2012.08.036
Rodrigues, T. G., & Machado, R. L. (2024). Life cycle assessment of the sugarcane supply chain in the Brazilian Midwest region. Sustainability, 16(1), 285. https://doi.org/10.3390/su16010285
Sánchez Suárez, Y., Samá Muñoz, D., Pancorbo Sandoval, J. A., Domínguez Díaz, L. E., Hernández Nariño, A., Marqués León, M., & Espinosa Blanco, M. A. (2026). Sustainable sugar agro-industrial value chain: An integrated lean framework for risk management, circularity, and artificial intelligence. Sustainability, 18(13), 6389. https://doi.org/10.3390/su18136389
Santoro, E., Soler, E. M., & Cherri, A. C. (2017). Route optimization in mechanized sugarcane harvesting. Computers and Electronics in Agriculture, 141, 140–146. https://doi.org/10.1016/j.compag.2017.07.013
Seuring, S., & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16(15), 1699–1710. https://doi.org/10.1016/j.jclepro.2008.04.020
Singh, S., Srivastava, S. K., & Jangirala, S. (2025). System Dynamics Analysis of Sugarcane Supply Chain in Indian Sugar Industry. Global Business Review, 26(2), 468-480. https://doi.org/10.1177/0972150921999521
Tsiropoulos, I., Faaij, A. P. C., Seabra, J. E. A., Lundquist, L., Schenker, U., Briois, J. F., & Patel, M. K. (2014). Life cycle assessment of sugarcane ethanol production in India in comparison to Brazil. The International Journal of Life Cycle Assessment, 19, 1049–1067. https://doi.org/10.1007/s11367-014-0714-5
Viegas, G. C., Marta-Costa, A., Fragoso, R., & Cambaza, E. (2024). The sustainability of sugarcane production: A systematic review of sustainability indicators. New Medit, 23(4), 121–134. https://doi.org/10.30682/nm2404h
Walters, D., & Lancaster, G. (2000). Implementing value strategy through the value chain. Management Decision, 38(3), 160–178. https://doi.org/10.1108/EUM0000000005344
Yuttitham, M., Gheewala, S. H., & Chidthaisong, A. (2011). Carbon footprint of sugar produced from sugarcane in eastern Thailand. Journal of Cleaner Production, 19(17-18), 2119–2127. https://doi.org/10.1016/j.jclepro.2011.07.017
Zarei, S., Bozorg-Haddad, O., Singh, V. P., & Loáiciga, H. A. (2021). Developing water, energy, and food sustainability performance indicators for agricultural systems. Scientific Reports, 11(1), 22831. https://doi.org/10.1038/s41598-021-02147-9
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