Abstract
Agriculture is a diverse array of production systems that are composed of interconnected physical, biological, and human components, across farm to global scales. Agricultural systems are described in terms of their diversity, that is, different types of systems and their heterogeneity, that is, the variation in the physical, biological, and human components within each type of the system. The diversity and complexity of agricultural systems throughout the world means that a variety of economic, environmental, and social indicators can be used to track and evaluate their performance. We elaborate on the economic rationale for the tradeoff analysis approach to sustainable development. Finally, we discuss the tools—the computer simulation models and data—used to implement the analysis of agricultural system sustainability.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alkire, S., R. Meinzen-Dick, A. Peterman, A. Quisumbing, G. Seymour, and A. Vaz. 2013. The Women’s Empowerment in Agriculture Index. World Development 52 (Suppl. C): 71–91. https://doi.org/10.1016/j.worlddev.2013.06.007.
Andersen, E., A.D. Verhoog, B.S. Elbersen, F.E. Godeschalk, and B. Koole. 2006. A Multidimensional Farming System Typology System for Environmental and Agricultural Modelling. Linking European Science and Society Report no. 12, May 2006. http://www.seamless-ip.org/Reports/Report_12_PD4.4.2.pdf.
Antle, John, Roshan Adhikari, and Stephanie Price. 2015a. An Income-Based Food Security Indicator for Agricultural Technology Impact Assessment. In Food Security in an Uncertain World: An International Perspective. Bingley, UK: Emerald Insight Publishing.
Antle, J., S. Homann-Kee Tui, K. Descheemaeker, P. Masikate, and R. Valdivia. 2017a. Using AgMIP Regional Integrated Assessment Methods to Evaluate Climate Impact, Adaptation, Vulnerability and Resilience in Agricultural Systems. In Climate Smart Agriculture—Building Resilience to Climate Change, ed. L. Lipper, N. McCarthy, D. Zilberman, S. Asfaw, and G. Branca. New York: Springer.
Antle, J., J. Jones, and C. Rosenzweig. 2017b. Next Generation Agricultural System Data, Models and Knowledge Products: Synthesis and Strategy. Agricultural Systems 155: 179–185.
Antle, J.M., and C.O. Stöckle. 2017. Climate Impacts on Agriculture: Insights from Agronomic-Economic Analysis. Review of Environmental Economics and Policy 11 (2): 299–318. https://doi.org/10.1093/reep/rex012.
Antle, J.M., J.J. Stoorvogel, and R.O. Valdivia. 2014. New Parsimonious Simulation Methods and Tools to Assess Future Food and Environmental Security of Farm Populations. Philosophical Transactions of the Royal Society B 369: 20120280.
Antle, J.M., R.O. Valdivia, K.J. Boote, S. Janssen, J.W. Jones, C.H. Porter, C. Rosenzweig, A.C. Ruane, and P.J. Thorburn. 2015b. AgMIP’s Trans-disciplinary Agricultural Systems Approach to Regional Integrated Assessment of Climate Impact, Vulnerability and Adaptation. In Handbook of Climate Change and Agroecosystems: The Agricultural Model Intercomparison and Improvement Project Integrated Crop and Economic Assessments, Part 1, ed. C. Rosenzweig and D. Hillel. London: Imperial College Press.
Ballard, Terri J., Anne W. Kepple, and Carlo Cafiero. 2013. The Food Insecurity Experience Scale, 61.
Barrett, C., and M. Carter. 2010. The Power and Pitfalls of Experiments in Development Economics: Some Non-random Reflections. Applied Economic Perspectives and Policy 32 (4): 515–548.
Becker, Gary S. 1992. Nobel Price Lecture. Nobel Media AB 2019. https://www.nobelprize.org/prizes/economic-sciences/1992/becker/lecture/.
Capalbo, S.M., J.M. Antle, and C. Seavert. 2017. Next Generation Data Systems and Knowledge Products to Support Agricultural Producers and Science-based Policy Decision Making. Agricultural Systems 155: 191–199. https://doi.org/10.1016/j.agsy.2016.10.009.
Coates, Jennifer, Edward A. Frongillo, A. Swindale, Beatrice Lorge Rogers, P. Webb, and P. Bilinsky. 2006. Advances in Developing Country Food Insecurity Measurement. American Society of Nutrition. http://pdf.usaid.gov/pdf_docs/pnaeb649.pdf.
Dillon, B.M., and C.B. Barrett. 2016. Global Oil Prices and Local Food Prices: Evidence from East Africa. American Journal of Agricultural Economics 98: 154–171. https://doi.org/10.1093/ajae/aav040.
FAO. 2011. The State of the World’s Land and Water Resources for Food and Agriculture (SOLAW)—Managing Systems at Risk. Food and Agriculture Organization of the United Nations, Rome and Earthscan, London.
IPCC. 2019. Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems. https://www.ipcc.ch/report/srccl/
Jones, James W., John M. Antle, Bruno Basso, Kenneth J. Boote, Richard T. Conant, Ian Foster, H. Charles, et al. 2017. Brief History of Agricultural Systems Modeling. Agricultural Systems 155 (July): 240–254. https://doi.org/10.1016/j.agsy.2016.05.014.
Kanter, D.R., M. Musumba, S.L.R. Wood, C. Palm, J. Antle, P. Balvanera, V.H. Dale, et al. 2018. Evaluating Agricultural Trade-offs in the Age of Sustainable Development. Agricultural Systems 163: 73–88.
Leff, B., N. Ramankutty, and J.A. Foley. 2004. Geographic Distribution of Major Crops Across the World. Global Biogeochemical Cycles 18: GB1009. https://doi.org/10.1029/2003GB002108.
Lowder, S.K., J. Skoet, and T. Raney. 2016. The Number, Size, and Distribution of Farms, Smallholder Farms, and Family Farms Worldwide. World Development 87: 16–29.
Nemo, S. 2019. G.E.M.S: An Innovative Agroinformatics Data Discovery and Analysis Platform. https://bigdata.cgiar.org/resource/g-e-m-s-an-innovative-agroinformatics-data-discovery-and-analysis-platform/
Robinson, T.P., P.K. Thornton, G. Franceschini, R.L. Kruska, F. Chiozza, A. Notenbaert, G. Cecchi, et al. 2011. Global Livestock Production Systems. Rome, Food and Agriculture Organization of the United Nations (FAO) and International Livestock Research Institute (ILRI), 152 pp.
Valdivia, R.O., J.M. Antle, C. Rosenzweig, A.C. Ruane, J. Vervoort, M. Ashfaq, I. Hathie, et al. 2015. Representative Agricultural Pathways and Scenarios for Regional Integrated Assessment of Climate Change Impact, Vulnerability and Adaptation. In Handbook of Climate Change and Agroecosystems: The Agricultural Model Intercomparison and Improvement Project Integrated Crop and Economic Assessments, Part 1, ed. C. Rosenzweig and D. Hillel. London: Imperial College Press.
van Wijk, M., M. Rufino, D. Enahoro, D. Parsons, S. Silvestri, R. Valdivia, and M. Herrero. 2014. Farm Household Models to Analyse Food Security in a Changing Climate: A Review. Global Food Security 3: 77–84.
Wilkinson, M.D., et al. 2016. Comment: The FAIR Guiding Principles for Scientific Data Management and Stewardship. Scientific Data 3: 160018. https://doi.org/10.1038/sdata.2016.18.
World Health Organization. 2018. Obesity and Overweight. https://www.who.int/en/news-room/fact-sheets/detail/obesity-and-overweight.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 The Author(s)
About this chapter
Cite this chapter
Antle, J.M., Ray, S. (2020). Sustainability of Agricultural Systems. In: Sustainable Agricultural Development. Palgrave Studies in Agricultural Economics and Food Policy. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-34599-0_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-34599-0_3
Published:
Publisher Name: Palgrave Macmillan, Cham
Print ISBN: 978-3-030-34598-3
Online ISBN: 978-3-030-34599-0
eBook Packages: Economics and FinanceEconomics and Finance (R0)