La búsqueda activa de soluciones para los problemas de los sistemas agrícolas: una visión desde análisis de decisiones

An active search for solutions in agricultural systems: A decision analysis perspective

Óscar Burbano-Figueroa , Milena Arias-Robles , Janeth Alexandra Sierra-Monroy y Adriana David-Hinestroza

Suma de Negocios, 13(28), xx-xx, enero-junio 2022, ISSN 2215-910X

https://doi.org/10.14349/sumneg/2022.V13.N28.A8

Recibido el 21 de marzo de 2022
Aceptado el 23 de mayo de 2022
Online el 6 de junio de 2022

Resumen

Introducción/objetivo: Hoy en día la sociedad requiere de los sistemas agrícolas, no solo del aprovisionamiento de bienes, sino también de la prestación de servicios ambientales y sociales. Esta transformación es compleja ya que requiere implementar acciones en un sistema de muchas variables y bajo condiciones de riesgo e incertidumbre que no garantizan los beneficios de las acciones. Este artículo de perspectiva describe la aplicación del Análisis de Decisiones (AD) en tales escenarios de decisión de los sistemas agrícolas.

Metodología: El trabajo presenta un protocolo general para la implementación de AD y desarrolla una perspectiva espacio-temporal para la aplicación de AD en los sistemas agrícolas usando conceptos extraídos de las áreas de la Teoría de Decisiones y planificación estratégica, e introduce un estudio de caso para mostrar cómo esta perspectiva puede ser introducida en los sistemas de innovación del sector agrícola.

Resultados: Los problemas de los sistemas agrícolas pueden describirse como una tipología de modelos de decisión usando escalas de planificación estratégica. Esta perspectiva tiene el potencial de permitir la aplicación de AD en los esfuerzos de planificación del Sistema Nacional de Innovación Agropecuaria (SNIA) de Colombia, especialmente en la implementación de los Sistemas Territoriales de Innovación (STI).

Conclusión: Este artículo presenta una perspectiva extendida de AD orientada a proveer una base conceptual para su aplicación en la búsqueda de soluciones en el contexto de complejidad de los sistemas agrícolas, en la planificación de las actividades de ciencia, tecnología e innovación en el sector agrícola, y para apoyar el proceso transformación hacia la sostenibilidad de los sistemas agrícolas.


Palabras clave:
Toma de decisiones,
horizontes de planificación estratégica,
Sistema Nacional de Innovación Agropecuaria,
Sistemas Agrícolas Sostenibles.

Códigos JEL:
Q55, O13, B410, C63

Abstract

Introduction/Objective: Nowadays society demands from agricultural systems not only the provision of goods for the market but also environmental and social services. This transformation is a challenge due to the unpredictability of executing actions in a complex system with no certainty that it will lead to the desired outcome. This perspective paper describes the application of Decision Analysis (DA) for such uncertain scenarios of decision-making in agricultural systems.

Methodology: This paper describes a general protocol for the implementation of DA, proposes a temporal-spatial framework for the application of DA in agricultural systems using concepts of Decision Theory and strategic planning, and introduces a case study for describing how this framework can be applied to agricultural innovation systems.

Results: Problems in agricultural systems can be outlined as decision analysis models of specific spatial-temporal scale (planning horizons). This framework has potential for the application of DA in the planning efforts of the Colombian National Agricultural Innovation System, but especially in the implementation of Regional Innovation Systems.

Conclusions: We provided an extended DA framework aimed to constitute a sound basis for finding solutions in the complex setting of agricultural systems, for planning actions of science, technology and innovation and for supporting the decision making process of sustainability transformation of agricultural systems.


Keywords:
Decision Analysis,
Decision-making,
strategic planning horizons,
Colombian National System for Agricultural Innovation,
agricultural systems,
Sustainable Agricultural Systems.

Artículo Completo
Bibliografía

Adams, R. J., Smart, P., & Huff, A. S. (2016). Shades of Grey: Guidelines for working with the grey literature in systematic reviews for management and organizational studies. International Journal Management Reviews, 19(Iss. 4), 432-454. https://doi.org/10.1111/ijmr.12102

Aleem, I. S., Schemitsch, E. H., & Hanson, B. P. (2008). What is a clinical decision analysis study?  Indian Journal of Orthopaedics, 42, 137-139. https://doi.org/10.4103/0019-5413.40248

Ampatzoglou, A., Bibi, S., Avgeriou, P., Verbeek, M., & Chatzigeorgiou, A. (2019). Identifying, categorizing and mitigating threats to validity in software engineering secondary studies.  Information and Software Technology, 106, 201-230. https://doi.org/10.1016/j.infsof.2018.10.006

Andersen, A. D., & Andersen, P. D. (2017). Foresighting for inclusive development.  Technological Forecasting and Social Change, 119, 227-236. https://doi.org/10.1016/j.techfore.2016.06.007

Anderson, J. R., Dillon, J. L., & Hardaker, B. (1977). Agricultural decision analysis. The Iowa State University Press.

Anderson, J. R. (1992). Risk analysis in dryland farming systems (Farm systems management series). Food and Agriculture Organization of the United Nations.

Anderson, J. R. (2003). Risk in rural development: Challenges for managers and policy makers.  Agricultural Systems, 75, 161-197. https://doi.org/10.1016/S0308-521X(02)00064-1

Bell, D. E., Raiffa, H., & Tversky, Amos. (1989). Decision making: Descriptive, normative, And prescriptive interactions. Cambridge University Press.

Bogdanović, S., & Hadžić, M. (2019). Strategic multicriteria decision-making process in agriculture.  Ekonomika Poljoprivrede, 66, 89-106. https://doi.org/10.5937/ekoPolj1901089B

Bryson, J. M., Edwards, L. H., & Van Slyke, D. M. (2018). Getting strategic about strategic planning research. Public Management Review, 20, 317-339. https://doi.org/10.1080/14719037.2017.1285111

Bryson, J. M. (2004). Strategic planning for public and nonprofit organizations: A guide to strengthening and sustaining organizational achievement. 3.ª ed. Jossey-Bass.

Bryson, J. M. (2010). The future of public and nonprofit strategic planning in the United States. Public Administration Review, 70, s255-s267. https://doi.org/10.1111/j.1540-6210.2010.02285.x

Burbano-Figueroa, O., Sierra-Monroy, A., David-Hinestroza, A., Whitney, C., Borgemeister, C., & Luedeling, E. (2022a). Farm-planning under risk: An application of decision analysis and portfolio theory for the assessment of crop diversification strategies in horticultural systems.  Agricultural Systems, 199, 103409. https://doi.org/10.1016/j.agsy.2022.103409

Burbano-Figueroa, O., Sierra-Monroy, A., Grandett Martinez, L., Borgemeister, C., & Luedeling, E. (2021). Management of the Boll Weevil (Coleoptera: Curculionidae) in the Colombian Caribbean: A conceptual model.  Journal of Integrated Pest Management, 12, 2021-2016. https://doi.org/10.1093/jipm/pmab009

Burbano-Figueroa, O., Sierra-Monroy, A., Whitney, C., Borgemeister, C., & Luedeling, E. (2022b). Profitability of farm-scale management strategies against the boll weevil in the tropics: case study from the Colombian Caribbean. Journal of Pest Science,  95, 931-947. https://doi.org/10.1007/s10340-021-01409-9

Burbano-Figueroa, O., Sierra-Monroy, J. A., & David Hinestroza, A. (2020). Simulación probabilística de ingresos monetarios obtenidos en cultivos del sistema irrigado de producción de hortalizas del Valle del Sinú Colombia. AgriXiv. https://doi.org/10.31220/osf.io/tc694

Burbano-Figueroa, O. (2021). Profitability of farm-scale management strategies against the boll weevil in the Tropics: Case study from the Colombian Caribbean. Open Science Framework. https://doi.org/10.17605/osf.io/wv4tg

Burbano-Figueroa, O. (2022). Yield, productivity and technical gaps that limit the cotton agricultural production system in the Colombian Caribbean. University of Bonn.

Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT). (1988). La formulación de recomendaciones a partir de datos agronómicos: un manual metodológico de evaluación económica. CIMMYT.

Conway, G. R. (1984). Pest and pathogen control: strategic, tactical, and policy models (international series on applied systems analysis). Wiley.

Corporación Colombiana de Investigación Agropecuaria (Corpoica), Departamento Administrativo de Ciencia, Tecnología e Innovación (Colciencias), & Ministerio de Agricultura y Desarrollo Rural (MADR). (2016). PECTIA. Plan Estratégico de Ciencia, Tecnología e Innovación Agropecuaria del Sector Agropecuario Colombiano (2017-2027). Corporación Colombiana de Investigación Agropecuaria, Departamento Administrativo de Ciencia, Tecnología e Innovación, y Ministerio de Agricultura y Desarrollo Rural. https://repository.agrosavia.co/handle/20.500.12324/12759

Corporación PBA. (2017). Manual para la conformación e implementación de Sistemas Territoriales de Innovación. Corporación para el Desarrollo Sostenible y Participativo de los Pequeños Productores Rurales.

Cox, S. (2022). Qualitative analysis to support long-term strategies | World Resources Institute. Long-term climate strategies. https://www.wri.org/climate/expert-perspective/qualitative-analysis-support-long-term-strategies

De Jesús Pérez, G. (2020). On the essence and ontology of systems. Open Science Journal.

Dixon, J. A., Gibbon, D. P., & Gulliver, A. (2001). Farming systems and poverty: Improving farmers’ livelihoods in a changing world. Food & Agriculture Org.

Di Gregorio, M., Fatorelli, L., Paavola, J., Locatelli, B., Pramova, E., Nurrochmat, D. R., May, P. H., Brockhaus, M., Sari, I. M., & Kusumadewi, S. D. (2019). Multi-level governance and power in climate change policy networks. Global Environmental Change, 54, 64-77. https://doi.org/10.1016/j.gloenvcha.2018.10.003

Do, H., Luedeling, E., & Whitney, C. (2020). Decision analysis of agroforestry options reveals adoption risks for resource-poor farmers. Agronomy Sust. Developm, 40, 20. https://doi.org/10.1007/s13593-020-00624-5

Drinkwater, L. E., Friedman, D., & Buck, L. (2016). Systems Research For Agriculture (1.ª ed.). Sustainable Agriculture Research and Education, University of Mayland Printing Services.

Felizardo, K. R., de Souza, É. F., Napoleão, B. M., Vijaykumar, N. L., & Baldassarre, M. T. (2020). Secondary studies in the academic context: A systematic mapping and survey. Journal of Systems and Software, 170, 110734. https://doi.org/10.1016/j.jss.2020.110734

Garousi, V., Felderer, M., & Mäntylä, M. V. (2019). Guidelines for including grey literature and conducting multivocal literature reviews in software engineering. Information and Software Technology, 106, 101-121. https://doi.org/10.1016/j.infsof.2018.09.006

Gregory, R., Failing, L., Harstone, M., Long, G., McDaniels, T., & Ohlson, D. (2012). Structured decision making: A practical guide to environmental management choices. John Wiley & Sons, Ltd. https://doi.org/10.1002/9781444398557

Hardaker, J. B., Lien, G., Anderson, J. R., & Huirne, R. B. M. (2015). Coping With Risk In Agriculture. 3.ª ed. CABI.

Hobday, A. J., Boschetti, F., Moeseneder, C., Stephenson, R. L., Bessey, C., Bulman, C. M., Contardo, S., Cvitanovic, C., Dambacher, J. M., Dutra, L. X. C., et al. (2020). Quantitative foresighting as a means of improving anticipatory scientific capacity and strategic planning. One Earth, 3, 631-644. https://doi.org/10.1016/j.oneear.2020.10.015

Hubbard, D., & Millar, M. (2014). Modeling resilience with applied information economics (AIE). Technical Consortium, a project of the CGIAR.

Hubbard, D. (2014). How to measure anything: Finding the value of intangibles in business. 3.ª ed. Wiley.

Jezic von Gesseneck, M., Toffanin, R., & Jezic von Gesseneck, J. (2018). Innovation system foresight and systemic innovation for the overseas countries and territories. Foresight, 20, 105-122. https://doi.org/10.1108/FS-07-2017-0034

Kamei, F., Pinto, G., Wiese, I., Ribeiro, M., & Soares, S. (2021). What evidence we would miss if we do not use grey literature? Proceedings of the 15th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (New York, NY, USA: ACM), 1-11. https://doi.org/10.1145/3475716.3475777

Kay, R., Edwards, W., & Duffy, P. A. (2019). Loose leaf for farm management. 9.ª ed. McGraw-Hill Education.

Keeney, R. L., & Raiffa, H. (1976). Decisions with multiple objectives: Preferences and value trade-offs. John Wiley and Sons.

Keisler, J. M., Collier, Z. A., Chu, E., Sinatra, N., & Linkov, I. (2014). Value of information analysis: The state of application. Environment Systems & Decisions, 34, 3-23. https://doi.org/10.1007/s10669-013-9439-4

Kimmich, C., Baldwin, E., Kellner, E., Oberlack, C., & Villamayor-Tomás, S. (2022). Networks of action situations: A systematic review of empirical research.  Sustainability Science. https://doi.org/10.1007/s11625-022-01121-2

Klerkx, L., & Begemann, S. (2020). Supporting food systems transformation: The what, why, who, where and how of mission-oriented agricultural innovation systems. Agricultural Systems, 184, 102901. https://doi.org/10.1016/j.agsy.2020.102901

Klerkx, L., van Mierlo, B., & Leeuwis, C. (2012). Evolution of systems approaches to agricultural innovation: Concepts, analysis and interventions. En I. Darnhofer, D. Gibbon, & B. Dedieu (eds.), Farming systems research into the 21st Century: The new dynamic (pp. 457-483). Springer Netherlands. https://doi.org/10.1007/978-94-007-4503-2_20

Lahnamäki-Kivelä, S. (2022). Coping with uncertainty: Exploring the foresight actions’ role in supporting growth-orientation among Finnish dairy farmers. Futures, 135, 102870. https://doi.org/10.1016/j.futures.2021.102870

Lamanda, N., Roux, S., Delmotte, S., Merot, A., Rapidel, B., Adam, M., & Wery, J. (2012). A protocol for the conceptualisation of an agro-ecosystem to guide data acquisition and analysis and expert knowledge integration. European Journal of Agronomy, 38, 104-116. https://doi.org/10.1016/j.eja.2011.07.004

Liman Harou, I., Whitney, C., Kung’u, J., & Luedeling, E. (2021). Crop modelling in data-poor environments – A knowledge-informed probabilistic approach to appreciate risks and uncertainties in flood-based farming systems.  Agricultural Systems,  187, 103014. https://doi.org/10.1016/j.agsy.2020.103014

Luedeling, E., & De Leeuw, J. (2014). Decision modeling for the Habaswein-Wajir Water Supply Project in Northern Kenya. World Agroforestry Center.

Luedeling, E., Oord, A. L., Kiteme, B., Ogalleh, S., Malesu, M., Shepherd, K. D., & De Leeuw, J. (2015). Fresh groundwater for Wajir ex-ante assessment of uncertain benefits for multiple stakeholders in a water supply project in Northern Kenya.  Frontiers in Environmental Science, 3. https://doi.org/10.3389/fenvs.2015.00016

Luedeling, E., Shepherd, K., de Leeuw, J., Downie, K., de Leeuw, J., Luedeling, E., Shepherd, K., & Downie, K. (2014). The application of decision analysis modelling for investment targeting. Technical Consortium, a project of the CGIAR.

Luedeling, E., & Shepherd, K. (2016). Decision-Focused Agricultural Research. Solutions.

Lum, R. (2015). Foresight vs. Planning Horizons, part 2. https://visionforesightstrategy.wordpress.com/2015/06/15/foresight-vs-planning-horizons-part-2/

Martínez Pachón, E., Uribe Galvis, C. P., Forero L., Ó. A., Buendía Grigoriu, C., Toro Suárez, I., Piniero, M., Luna Mancilla, L. T., Yepes Vargas, L. A., Rincón Novoa, R., Ruiz Ramírez, D. M., et al. (2020). Tisere: Una propuesta metodológica para la conformación o el fortalecimiento de territorios innovadores y socioecológicamente resilientes. Corporación Colombiana de Investigación Agropecuaria (Agrosavia). https://doi.org/10.21930/agrosavia.investigation.7403596

McConnell, D. J., & Dillon, J. L. (1997). 4. Further farm-household system elements: Enterprises and activities and their budgeting. En Farm management for Asia: A systems approach. Food and Agriculture Organization of the United Nations.

Mumford, J. D., & Norton, G. A. (1984). Economics of decision making in pest management.  Annual Review of Entomology, 29, 157-174. https://doi.org/10.1146/annurev.en.29.010184.001105

Neumann, J. von, & Morgenstern, O. (2007). Theory of Games and Economic Behavior: 60th Anniversary Commemorative Edition (Princeton Classic Editions). 60th Anniversary. Princeton University Press.

Padbury, P. (2020). An Overview of the Horizons Foresight Method: Using the “Inner Game” of Foresight to Build System-Based Scenarios. World Futures Review, 12, 249-258. https://doi.org/10.1177/1946756719896007

Perrin, R. K., Winkelmann, D. L., Moscardi, E. R., & Anderson, J. R. (1983). Formulación de recomendaciones a partir de datos agronómicos: un manual metodológico de evaluación económica. CIMMYT.

Power, A. G. (2010). Ecosystem services and agriculture: Tradeoffs and synergies. Philosophical Transactions of the Royal Society B: Biological Sciences, 365, 2959-2971. https://doi.org/10.1098/rstb.2010.0143

Rabbinge, R., Rossing, W. A. H., & Werf, W. (1993). Systems approaches in epidemiology and plant disease management. Netherlands Journal of Plant Pathology, 99, 161-171. https://doi.org/10.1007/BF03041406

Raiffa, H., & Schlaifer, R. (1961). Applied statistical decision theory. 1.ª ed. Division of Research Graduate School of Business Administration Harvard University.

Ritchie, H., & Roser, M. (2013). Land Use – Our World in Data. Our World in Data.

Rivera-Ferre, M., Ortega-Cerdà, M., & Baumgärtner, J. (2013). Rethinking Study and Management of Agricultural Systems for Policy Design. Sustainability, 5, 3858-3875. https://doi.org/10.3390/su5093858

Ruett, M., Whitney, C., & Luedeling, E. (2020). Model-based evaluation of management options in ornamental plant nurseries.  Journal of Cleaner Production, 122653. https://doi.org/10.1016/j.jclepro.2020.122653

Seifu, M., van Paassen, A., Klerkx, L., & Leeuwis, C. (2022). A state-initiated multi-stakeholder platform as an instrument to build agricultural innovation system capacity: A case study from Ethiopia. Innovation and Development, 1-22. https://doi.org/10.1080/2157930X.2022.2064959

Sisto, R., Fernández-Portillo, L. A., Yazdani, M., Estepa-Mohedano, L., & Torkayesh, A. E. (2022). Strategic planning of rural areas: Integrating participatory backcasting and multiple criteria decision analysis tools.  Socio-Economic Planning Sciences, 101248. https://doi.org/10.1016/j.seps.2022.101248

Tuffaha, H. (2020). Value of information analysis: Are we there yet? PharmacoEconomics Open. https://doi.org/10.1007/s41669-020-00227-6

Webb, A. (2019). How to do strategic planning like a futurist. Harvard Business Review – Digital Articles.

Whitney, C. W., Tabuti, J. R. S., Hensel, O., Yeh, C.-H., Gebauer, J., & Luedeling, E. (2017). Homegardens and the future of food and nutrition security in southwest Uganda. Agricultural Systems, 154, 133-144. https://doi.org/10.1016/j.agsy.2017.03.009

Yigzaw, N., Mburu, J., Ackello-Ogutu, C., Whitney, C., & Luedeling, E. (2019). Stochastic impact evaluation of an irrigation development intervention in Northern Ethiopia.  Science of the Total Environment, 685, 1209-1220. https://doi.org/10.1016/j.scitotenv.2019.06.133

Zionts, S. (1979). Mcdm—if not a roman numeral, then what? Interfaces (Providence), 9, 94-101. https://doi.org/10.1287/inte.9.4.94

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Instituciones

Centro de Investigación Turipaná, Corporación Colombiana de Investigación Agropecuaria (Agrosavia), Cereté, Córdoba, Colombia
Centro de Investigación Turipaná, Corporación Colombiana de Investigación Agropecuaria (Agrosavia), El Carmen de Bolívar, Bolívar, Colombia
Instituto Colombiano Agropecuario (ICA), Ibagué, Tolima, Colombia
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