Initial social network analysis of producers working towards sustainability suggests weak ties and potential fragmentation

Authors

DOI:

https://doi.org/10.37433/aad.v3i1.141

Keywords:

regional food system, sustainable agriculture, sustainable production, resource sharing

Abstract

For farmers to adopt and maintain sustainable farming practices, they must have the resources and network to succeed with this work and must realize a positive impact on their business model. As a food system is ultimately made up of the people, organizations, and institutions that grow, move, buy and sell food, we must understand who is at the center of this network, who is well-connected, and who is peripheral. Within a particular regional food system in a highly productive southeastern U.S. state, the network of local producers interested in sustainable production, including environmental and economic components, seems to be growing. However, it is unclear who benefits from this system and whether this system is growing in a way that encourages and enhances the benefits for sustainable agriculture. Existing evidence for the network size and its vulnerabilities has been anecdotal, from Extension agents and their contacts with individual producers, rather than based on systematic research. We used social network analysis to understand the status of the system and its constituents. Connections between producers appear to be weak overall with potential fragmentation, suggesting a fragility that could easily derail efforts to increase sustainable production in the region.

 

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References

Adams, D. C., & Salois, M. J. (2010). Local versus organic: A turn in consumer preferences and willingness-to-pay. Renewable Agriculture and Food Systems, 25(4), 331–341. https://doi.org/10.1017/S1742170510000219

Andersen, K. F., Buddenhagen, C., Rachkara, P., Gibson, R., Kalule, S., Phillips, D., & Garrett, K. A. (2019). Modeling epidemics in seed systems and landscapes to guide management strategies: The case of sweet potato in Northern Uganda. Phytopathology, 109(9), 1519-1532. https://doi.org/10.1094/PHYTO-03-18-0072-R

Aprile, M. C., Caputo, V., & Nayga, R. M. (2016). Consumers’ preferences and attitudes toward local food products. Journal of Food Products Marketing, 22(1), 19–42. https://doi.org/10.1080/10454446.2014.949990

Barnes, M. L., Lynham, J., Kalberg, K., & Leung, P. (2016). Social networks and environmental outcomes. Proceedings of the National Academy of Sciences, 113(23), 6466–6471. https://doi.org/10.1073/pnas.1523245113

Brass, D. J., Galaskiewicz, J., Greve, H. R., & Tsai, W. (2004). Taking stock of networks and organizations: A multilevel perspective. Academy of Management Journal, 47(6), 795–817. https://doi.org/10.5465/20159624

Buddenhagen, C. E., Hernandez Nopsa, J. F., Andersen, K. F., Andrade-Piedra, J., Forbes, G. A., Kromann, P., Thomas-Sharma, S., Useche, P., & Garrett, K. A. (2017). Epidemic network analysis for mitigation of invasive pathogens in seed systems: Potato in Ecuador. Phytopathology, 107(10), 1209–1218. https://doi.org/10.1094/PHYTO-03-17-0108-FI

Bunge, J. (2017, October 23). Supersized family farms are gobbling up American agriculture. Wall Street Journal. https://www.wsj.com/articles/the-family-farm-bulks-up-1508781895

Cassman, K. G. (1999). Ecological intensification of cereal production systems: Yield potential, soil quality, and precision agriculture. Proceedings of the National Academy of Sciences, 96(11), 5952–5959. https://doi.org/10.1073/pnas.96.11.5952

Christensen, L., & O’Sullivan, R. (2015). Using social networking analysis to measure changes in regional food systems collaboration: A methodological framework. Journal of Agriculture, Food Systems, and Community Development, 5(3), 113–129. https://doi.org/10.5304/jafscd.2015.053.013

Cvitanovic, C., Cunningham, R., Dowd, A-M., Howden, S. M., & van Putten, E. I. (2017). Using social network analysis to monitor and assess the effectiveness of knowledge brokers at connecting scientists and decision-makers: An Australian case study. Environmental Policy and Governance, 27(3), 256–269. https://doi.org/10.1002/eet.1752

Dillman, D. A., Smyth, J. D., & Christian, L. M. (2009). Internet, mail, and mixed-mode surveys: The tailored design method (3rd ed). Wiley & Sons.

Doerfert, D. L. (Ed.). (2011). National research agenda: American Association for Agricultural Education’s research priorities for 2011-2015. Texas Tech University, Department of Agricultural Education and Communication. http://www.aaaeonline.org/resources/Documents/AAAE%20National%20Research%20Agenda.pdf

Dowd, A-M., Marshall, N., Fleming, A., Jakku, E., Gaillard, E., & Howden, M. (2014). The role of networks in transforming Australian agriculture. Nature Climate Change, 4(7), 558-563. https://doi.org/10.1038/nclimate2275

Garrett, K. A., Alcalá-Briseño, R. I., Andersen, K. F., Buddenhagen, C. E., Choudhury, R. A., Fulton, J. C., Hernandez Nopsa, J. F., Poudel, R., & Xing, Y. (2018). Network analysis: A systems framework to address grand challenges in plant pathology. Annual Review of Phytopathology, 56, 559–580. https://doi.org/10.1146/annurev-phyto-080516-035326

Giovannucci, D., Barham, E., & Pirog, R. (2010). Defining and marketing “local” foods: Geographical indications for US products. The Journal of World Intellectual Property, 13(2), 94–120. https://doi.org/10.1111/j.1747-1796.2009.00370.x

Goetz, S. J. (2016). The roles of agricultural economists in food system research. Agricultural and Resource Economics Review, 45(3), 419–435. https://doi.org/10.1017/age.2016.8

Gold, M. (2007). Sustainable agriculture: Definitions and terms (SRB 99-02). U. S. Department of Agriculture. http://www.nal.usda.gov/afsic/pubs/terms/srb9902.shtml

Gorham, L., Rumble, J., & Holt, J. (2015). The impact of local: Exploring availability and location on food buying decisions. Journal of Applied Communications, 99(2), 1-14. https://doi.org/10.4148/1051-0834.1046

Griffin, T., Conrad, Z., Peters, C., Ridberg, R., & Tyler, E. P. (2015). Regional self-reliance of the Northeast food system. Renewable Agriculture and Food Systems, 30(4), 349–363. https://doi.org/10.1017/S1742170514000027

Haythornthwaite, C. (1996). Social network analysis: An approach and technique for the study of information exchange. Library & Information Science Research, 18(4), 323–342. https://doi.org/10.1016/S0740-8188(96)90003-1

Henry, A. D., & Vollan, B. (2014). Networks and the challenge of sustainable development. Annual Review of Environment and Resources, 39, 583–610. https://doi.org/10.1146/annurev-environ-101813-013246

Klerkx, L., Aarts, N., & Leeuwis, C. (2010). Adaptive management in agricultural innovation systems: The interactions between innovation networks and their environment. Agricultural Systems, 103(6), 390–400. https://doi.org/10.1016/j.agsy.2010.03.012

Kumar Chaudhary, A., & Warner, L. A. (2015). Introduction to social network research: Application of social network analysis in Extension. University of Florida Electronic Document Information Source. http://www.edis.ifas.ufl.edu/wc196

Levy, M. A., & Lubell, M. N. (2018). Innovation, cooperation, and the structure of three regional sustainable agriculture networks in California. Regional Environmental Change, 18(4), 1235–1246. https://doi.org/10.1007/s10113-017-1258-6

Lubell, M., Niles, M., & Hoffman, M. (2014). Extension 3.0: Managing agricultural knowledge systems in the network age. Society & Natural Resources, 27(10), 1089–1103. https://doi.org/10.1080/08941920.2014.933496

Marion, B. W. (1986). The organization and performance of the U.S. food system. DC Heath and Company.

Martinez, S. W. (2010). Local food systems; concepts, impacts, and issues. Diane Publishing.

Meert, H., Van Huylenbroeck, G., Vernimmen, T., Bourgeois, M., & van Hecke, E. (2005). Farm household survival strategies and diversification on marginal farms. Journal of Rural Studies, 21(1), 81–97. https://doi.org/10.1016/j.jrurstud.2004.08.007

Penuel, W. R., Sussex, W., Korbak, C., & Hoadley, C. (2006). Investigating the potential of using social network analysis in educational evaluation. American Journal of Evaluation, 27(4), 437–451. https://doi.org/10.1177/1098214006294307

Rogers, E. M. (2003). Diffusion of innovations. Free Press. http://books.google.com/books?id=4wW5AAAAIAAJ

Scott, J., & Carrington, P. J. (Eds.). (2011). The SAGE handbook of social network analysis. SAGE.

Silvert, C., Diaz, J., Warner, L., & Ochieng, W. (2021). To work alone or with peers: Examining smallholder coffee farmers’ perceptions influencing collective actions. Advancements in Agricultural Development, 2(2), 1–14. https://doi.org/10.37433/aad.v2i2.95

Small Farms and Alternative Enterprises. (n.d.). Retrieved November 14, 2018, from [redacted] Sustainable Agriculture Research & Education. (2010). What is Sustainable Agriculture? A SARE Sampler of Sustainable Practices. North Central SARE. https://smallfarm.ifas.ufl.edu/

Stofer, K. A., Santos-Santiago, D., Nesbitt, H., & Prizzia, A. (2021). Producers have expanded definitions of sustainability. [Manuscript in Preparation]. Department of Agricultural Education and Communication, University of Florida.

Tilman, D., Balzer, C., Hill, J., & Befort, B. L. (2011). Global food demand and the sustainable intensification of agriculture. Proceedings of the National Academy of Sciences, 108(50), 20260–20264. https://doi.org/10.1073/pnas.1116437108

Tilman, D., Cassman, K. G., Matson, P. A., Naylor, R., & Polasky, S. (2002). Agricultural sustainability and intensive production practices. Nature, 418, 671–677. https://doi.org/10.1038/nature01014

United States Department of Agriculture Economic Research Service. (2018, August 30). Farming and Farm Income. https://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/farming-and-farm-income/

Xu, Q., Huet, S., Poix, C., Boisdon, I., & Deffuant, G. (2018). Why do farmers not convert to organic farming? Modeling conversion to organic farming as a major change. Natural Resource Modeling, 31(3), e12171. https://doi.org/10.1111/nrm.12171

Zack, M. H. (2000). Researching organizational systems using social network analysis. 33rd Annual Hawaii International Conference on System Sciences, 1, 1–7. https://doi.org/10.1109/HICSS.2000.926933

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Published

2022-01-07

How to Cite

Stofer, K. A., Fulton, J., Nesbitt, H., Prizzia, A., Garrett, K. A., & Rosario, J. J. (2022). Initial social network analysis of producers working towards sustainability suggests weak ties and potential fragmentation. Advancements in Agricultural Development, 3(1), 4–18. https://doi.org/10.37433/aad.v3i1.141

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Funding data

  • Southern SARE
    Grant numbers Sustainable Community Innovation grant CS15-094