Gestión del riesgo agrícola: análisis bibliométrico de la producción científica internacional, 2000–2025
Agricultural Risk Management: A Bibliometric Analysis of International Scientific Production, 2000-2025Contenido principal del artículo
Detalles del artículo
Sección
Cómo citar
Austin OC, Baharuddin AH, Okpara M. Risk in Malaysian agriculture: the need for a strategic approach and a policy refocus. Kajian Malaysia. 2012;30(1):21-50. http://web.usm.my/km/30(1)2012/KM%20ART%202%20(21-50).pdf
Vogel E, Meyer R. Climate change, climate extremes, and global food production. In: Resilience: the science of adaptation to climate change. Elsevier; 2018. p. 31-49. https://doi.org/10.1016/B978-0-12-811891-7.00003-7
Yang H, Yang J, Feng Y. Global agricultural vulnerability to climate physical risks. Finance Res Lett. 2026;87:108990. https://doi.org/10.1016/j.frl.2025.108990
Hazell P. The role of markets for managing agricultural risks in developing countries. In: Community, market and state in development. Palgrave; 2010. p. 291-310. https://doi.org/10.1057/9780230295018_17
Capitanio F. Risk, uncertainty, crises management and public intervention in agriculture. Ital Rev Agric Econ. 2022;77(2):3-14. https://doi.org/10.36253/rea-13774
Di Marcantonio F, Kayitakire F. Review of pilot projects on index-based insurance in Africa: insights and lessons learned. In: Green energy and technology. Springer; 2017. p. 323-341. https://doi.org/10.1007/978-3-319-59096-7_16
Broccardo L, Culasso F, Truant E. Unlocking value creation using an agritourism business model. Sustainability. 2017;9(9):1618. https://doi.org/10.3390/su9091618
Ferreira JB, Adekunle AO, Al Hilali B, et al. World experiences of agricultural risk management. Int J Risk Assess Manag. 2022;25(3-4):236-257. https://doi.org/10.1504/IJRAM.2022.130527
Lin BB. Agrobiodiversity, resilience, adaptation and climate change. In: Routledge handbook of agricultural biodiversity. Routledge; 2017. p. 311-325. https://doi.org/10.4324/9781317753285-20
Nawaz T, et al. Climate change-resilient crop production. In: Challenges and solutions of climate impact on agriculture. Elsevier; 2024. p. 329-357. https://doi.org/10.1016/B978-0-443-23707-2.00013-1
Aheeyar M, Amarasinghe U, Amarnath G, Alahacoon N. Factors affecting willingness to adopt climate insurance among smallholder farmers in Sri Lanka. Clim Risk Manag. 2023;42:100575. https://doi.org/10.1016/j.crm.2023.100575
Guerrero-Baena MD, Gómez-Limón JA, Sánchez-Cañizares S. Determinantes de la adopción de instrumentos de gestión del riesgo en la agricultura de regadío. ITEA Inf Téc Econ Agrar. 2021;117(4):449-473. https://doi.org/10.12706/itea.2021.001
Wani MD, Dar SN, Mohanty PP. Integrating the value belief norm theory and theory of planned behavior to predict the climate change mitigation and adaption behaviors in agriculture production. Environ Manage. 2025;75(10):2659-2673. https://doi.org/10.1007/s00267-025-02217-y
Ali E, Egbendewe AYG, Abdoulaye T, Sarpong DB. Willingness to pay for weather index-based insurance in semi-subsistence agriculture: evidence from northern Togo. Clim Policy. 2020;20(5):534-547. https://doi.org/10.1080/14693062.2020.1745742
Wang C, et al. Agricultural disaster risk management and capability assessment using big data analytics. Big Data. 2022;10(3):246-261. https://doi.org/10.1089/big.2020.0411
Valencia-Arias A, et al. Machine learning applications in risk management: trends and research agenda. F1000Research. 2025;14:233. https://doi.org/10.12688/f1000research.161993.2
Passas I. Bibliometric analysis: the main steps. Encyclopedia. 2024;4(2):1014-1025. https://doi.org/10.3390/encyclopedia4020065
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. https://doi.org/10.1136/bmj.n71
Han L, Zhang Q. Research progress on the agriculture drought disaster risk and its research theoretical framework. In: 2018 7th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Hangzhou: IEEE; 2018. p. 1-4. https://doi.org/10.1109/Agro-Geoinformatics.2018.8476106
Kumar M. Impact of climate change on crop yield and role of model for achieving food security. Environ Monit Assess. 2016;188(8):465. https://doi.org/10.1007/s10661-016-5472-3
Myers RJ, Sexton RJ, Tomek WG. A century of research on agricultural markets. Am J Agric Econ. 2010;92(2):376-403. https://doi.org/10.1093/ajae/aaq014
Tack J, Yu J. Risk management in agricultural production. In: Handbook of agricultural economics. Vol. 5. Elsevier; 2021. p. 4135-4231. https://doi.org/10.1016/bs.hesagr.2021.10.004
Chowdhuri I, Pal SC. Challenges and potential pathways towards sustainable agriculture crop production: a systematic review to achieve sustainable development goals (SDGs). Soil Tillage Res. 2025;248:106442. https://doi.org/10.1016/j.still.2024.106442
Kumar R, et al. Natural farming practices for chemical-free agriculture: implications for crop yield and profitability. Agriculture. 2023;13(3):647. https://doi.org/10.3390/agriculture13030647
Hossain S, Ahmad N, Fakhre Alam A. Sustainability in MFI and agricultural risk: a bibliometric analysis of SAARC research. Qual Quant. 2025;59(4):3607-3629. https://doi.org/10.1007/s11135-025-02140-8
Ungureanu EL, et al. Assessing health risks associated with heavy metals in food: a bibliometric analysis. Foods. 2023;12(21):3974. https://doi.org/10.3390/foods12213974
Komarek AM, De Pinto A, Smith VH. A review of types of risks in agriculture: what we know and what we need to know. Agric Syst. 2020;178:102738. https://doi.org/10.1016/j.agsy.2019.102738
Larsen R, Leatham D, Sukcharoen K. Geographical diversification in wheat farming: a copula-based CVaR framework. Agric Finance Rev. 2015;75(3):368-384. https://doi.org/10.1108/AFR-07-2014-0020
Nguyen-Huy T, et al. Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management. Weather Clim Extrem. 2018;21:76-89. https://doi.org/10.1016/j.wace.2018.07.002
Ayanlade A, Olawole MO, Ayanlade OS, Bolarin O. Geospatial data infrastructure (GDI) for sharing agro-climatic information to improve agricultural productivity in Nigeria. In: E-agriculture and rural development: global innovations and future prospects. IGI Global; 2012. p. 42-50. https://doi.org/10.4018/978-1-4666-2655-3.ch004
Ullah R, et al. Farm risks and uncertainties: sources, impacts and management. Outlook Agric. 2016;45(3):199-205. https://doi.org/10.1177/0030727016665440
Vyas S, et al. Mapping global research on agricultural insurance. Environ Res Lett. 2021;16(10):103003. https://doi.org/10.1088/1748-9326/ac263d
Antón J, Cattaneo A, Kimura S, Lankoski J. Agricultural risk management policies under climate uncertainty. Glob Environ Change. 2013;23(6):1726-1736. https://doi.org/10.1016/j.gloenvcha.2013.08.007
Singh P, et al. Dynamics of weather index-based crop insurance research as resilience strategies. In: Advancing climate change mitigation and resilience. IGI Global; 2025. p. 125-152. https://doi.org/10.4018/979-8-3373-8417-7.ch005
Mase AS, Gramig BM, Prokopy LS. Climate change beliefs, risk perceptions, and adaptation behavior among Midwestern U.S. crop farmers. Clim Risk Manag. 2017;15:8-17. https://doi.org/10.1016/j.crm.2016.11.004
Tshilowa PF, et al. Determinants of farming insurance coverage as a climate change adaptation strategy among emerging commercial maize farmers in Limpopo Province, South Africa. Int J Clim Change. 2024;17(1):25-39. https://doi.org/10.18848/1835-7156/CGP/v17i01/25-39
Pontrandolfi A, Capitanio F, Pepe AG. Vulnerability of agricultural areas to climatic risk and effectiveness of risk management policy scheme in Italy. Int J Saf Secur Eng. 2016;6(2):150-160. https://doi.org/10.2495/SAFE-V6-N2-150-160
Bianco Bozzo M, Tomassini C. Collaboration networks in agricultural research in Uruguay: an exploration based on social network analysis. Outlook Agric. 2024;53(2):177-188. https://doi.org/10.1177/00307270241240779
Cheng X. Structural characteristics and determinants of the patent collaboration network in China's agricultural sector. Agric Econ. 2025;71(6):285-297. https://doi.org/10.17221/369/2024-AGRICECON
Banerjee S. Analysis of a planetary scale scientific collaboration dataset reveals novel patterns. In: Springer proceedings in complexity. Springer; 2017. p. 85-90. https://doi.org/10.1007/978-3-319-45901-1_7
Plex Sulá AI, et al. What traits of collaboration networks are associated with project success? The case of two CGIAR agricultural research programs for development. Agric Syst. 2024;219:104013. https://doi.org/10.1016/j.agsy.2024.104013
Aria M, Cuccurullo C. bibliometrix: an R-tool for comprehensive science mapping analysis. J Informetr. 2017;11(4):959-975. https://doi.org/10.1016/j.joi.2017.08.007
Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM. How to conduct a bibliometric analysis: an overview and guidelines. J Bus Res. 2021;133:285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
Jensen N, Barrett C. Agricultural index insurance for development. Appl Econ Perspect Policy. 2017;39(2):199-219. https://doi.org/10.1093/aepp/ppw022
Wheeler T, von Braun J. Climate change impacts on global food security. Science. 2013;341(6145):508-513. https://doi.org/10.1126/science.1239402
van Winsen F, et al. Determinants of risk behaviour: effects of perceived risks and risk attitude on farmer's adoption of risk management strategies. J Risk Res. 2016;19(1):56-78. https://doi.org/10.1080/13669877.2014.940597
Kamilaris A, Prenafeta-Boldú FX. Deep learning in agriculture: a survey. Comput Electron Agric. 2018;147:70-90. https://doi.org/10.1016/j.compag.2018.02.016
Zhai Z, et al. Decision support systems for agriculture 4.0: survey and challenges. Comput Electron Agric. 2020;170:105256. https://doi.org/10.1016/j.compag.2020.105256
Bouroncle C, et al. Mapping climate change adaptive capacity and vulnerability of smallholder agricultural livelihoods in Central America: ranking and descriptive approaches to support adaptation strategies. Clim Change. 2016;141(1):123-137. https://doi.org/10.1007/s10584-016-1792-0
Zougmoré RB, et al. Toward climate-smart agriculture in West Africa: a review of climate change impacts, adaptation strategies and policy developments for the livestock-fish-crop production system. Agric Food Secur. 2016;5:26. https://doi.org/10.1186/s40066-016-0075-3