Social Capital of Rice Farmers in Andhra Pradesh and Kerala: A Social Network Analysis
DOI:
https://doi.org/10.48165/IJEE.2026.62216Keywords:
Social network analysis, Social capital, Information networks, Rice farmers, Climate resilience.Abstract
The study explored the social capital among the rice farming communities, which is crucial in the context of climate change for building their resilience. The study was conducted in the South Indian states of Andhra Pradesh (AP) and Kerala during 2023. Primary data were collected from 120 farmers using a pretested schedule. Three social capital measures, viz., bonding capital, bridging capital, and linking capital, were analysed using social network analysis of the information sourcing and support networks of farmers. The results revealed relatively higher social capital among the farmers of Kerala than those of AP. Networks of both states had lower bonding capital, explained by lower density, moderate closeness centrality, and moderate modularity values. In the case of bridging and linking capital, Kerala regions had relatively higher levels than AP, explained by their in-degree centrality and betweenness centrality. The network maps also revealed greater reliance on input dealers for information in AP regions, whereas Kerala farmers relied on institutional sources. The results call for improving the bonding capital of all regions and the bridging and linking capital of AP farmers to expand their overall resilience.Downloads
References
Aldrich, D. P. (2012). Building resilience: Social capital in post-disaster recovery. University of Chicago Press.
Béné, C., Al-Hassan, R. M., Amarasinghe, O., Fong, P., Ocran, J., Onumah, E., Ratuniata, R., Tuyen, T. V., McGregor, J. A., & Mills, D. J. (2016). Is resilience socially constructed? Empirical evidence from Fiji, Ghana, Sri Lanka, and Vietnam. Global Environmental Change, 38, 153–170. https://doi.org/10.1016/j.gloenvcha.2016.03.005
Borgatti, S. (2003). The network paradigm in organizational research: A review and typology. Journal of Management, 29(6), 991–1013. https://doi.org/10.1016/S0149-2063(03)00087-4
Carmen, E., Fazey, I., Ross, H., Bedinger, M., Smith, F. M., Prager, K., McClymont, K., & Morrison, D. (2022). Building community resilience in a context of climate change: The role of social capital. Ambio, 51(6), 1371–1387. https://doi.org/10.1007/s13280-021-01678-9
Cassidy, L., & Barnes, G. D. (2012). Understanding household connectivity and resilience in marginal rural communities through social network analysis in the village of Habu, Botswana. Ecology and Society, 17(4). https://www.jstor.org/stable/26269205
Centola, D. (2010). The spread of behavior in an online social network experiment. Science, 329(5996), 1194–1197. https://doi.org/10.1126/science.1185231
Chapman, D. A., Trott, C. D., Silka, L., Lickel, B., & Clayton, S. (2018). Psychological perspectives on community resilience and climate change. In S. Clayton & C. Manning (Eds.), Psychology and climate change (pp. 267–288). Elsevier. https://doi.org/10.1016/B978-0-12-813130-5.00011-4
Chaudhuri, S., Roy, M., McDonald, L. M., & Emendack, Y. (2021). Reflections on farmers’ social networks: A means for sustainable agricultural development? Environment, Development and Sustainability, 23(3), 2973–3008. https://doi.org/10.1007/s10668-020-00762-6
Cofré-Bravo, G., Klerkx, L., & Engler, A. (2019). Combinations of bonding, bridging, and linking social capital for farm innovation: How farmers configure different support networks. Journal of Rural Studies, 69, 53–64. https://doi.org/10.1016/j.jrurstud.2019.04.004
Cui, P., & Li, D. (2020). A SNA-based methodology for measuring community resilience from the perspective of social capital: Nanjing, China. Sustainable Cities and Society, 53, 101880. https://doi.org/10.1016/j.scs.2019.101880
DFID. (1999). Sustainable livelihoods guidance sheets. Department for International Development.
Elkady, S., Hernantes, J., & Labaka, L. (2023). Towards a resilient community: A decision support framework for prioritizing stakeholders’ interaction areas. Reliability Engineering & System Safety, 237, 109358. https://doi.org/10.1016/j.ress.2023.109358
Elliott, J. R., Haney, T. J., & Sams-Abiodun, P. (2010). Limits to social capital: Comparing network assistance in two New Orleans neighborhoods after Hurricane Katrina. The Sociological Quarterly, 51(4), 624–648. https://doi.org/10.1111/j.1533-8525.2010.01186.x
Esparcia, J. (2014). Innovation and networks in rural areas: Analysis from European innovative projects. Journal of Rural Studies, 34, 1–14. https://doi.org/10.1016/j.jrurstud.2013.12.004
European Commission. (2020). Farm to fork strategy: For a fair, healthy and environmentally-friendly food system (Communication No. 381).
Golbeck, J. (2013). Network structure and measures. In J. Golbeck (Ed.), Analyzing the social web (pp. 25–44). Morgan Kaufmann. https://doi.org/10.1016/B978-0-12-405531-5.00003-1
GoI. (2023). Agricultural statistics at a glance 2022. https://desagri.gov.in/wp-content/uploads/2023/05/Agricultural-Statistics-at-a-Glance-2022.pdf
Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360–1380. https://doi.org/10.1086/225469
Green, O., McColl, R., & Bader, D. A. (2012). A fast algorithm for streaming betweenness centrality. In Proceedings of the 2012 International Conference on Privacy, Security, Risk and Trust and Social Computing (pp. 11–20). https://doi.org/10.1109/SocialCom-PASSAT.2012.37
Guzman, J. D., Deckro, R. F., Robbins, M. J., Morris, J. F., & Ballester, N. A. (2014). An analytical comparison of social network measures. IEEE Transactions on Computational Social Systems, 1(1), 35–45. https://doi.org/10.1109/TCSS.2014.2307451
Hampton, K. N. (2011). Comparing bonding and bridging ties for democratic engagement. Information, Communication & Society, 14(4), 510–528. https://doi.org/10.1080/1369118X.2011.562219
Henry, A. D., & Vollan, B. (2014). Networks and the challenge of sustainable development. Annual Review of Environment and Resources, 39(1), 583–610. https://doi.org/10.1146/annurev-environ-101813-013246
Ingram, J. (2011). A food systems approach to food security and global environmental change. Food Security, 3(4), 417–431. https://doi.org/10.1007/s12571-011-0149-9
Jordan, J. C. (2015). Social capital and local resilience to climate stress: Bangladesh case study. Climate and Development, 7(2), 110–123. https://doi.org/10.1080/17565529.2014.934771
Kadeejabanu, C. V., & Vishnupriya, M. (2021). Awareness and use of Krishibhavan services by farmers in Kerala. Library Philosophy and Practice, 4880. https://digitalcommons.unl.edu/libphilprac/4880
Luthe, T., Wyss, R., & Schuckert, M. (2012). Network governance and regional resilience to climate change. Regional Environmental Change, 12(4), 839–854. https://doi.org/10.1007/s10113-012-0294-5
Ma, X., Spielman, D. J., Nazli, H., Zambrano, P., Zaidi, F., & Kouser, S. (2014). Social networks in agricultural technology adoption: Evidence on Bt cotton in Pakistan.
Nain, M. S., Singh, R., & Mishra, J. R. (2019). Social networking of innovative farmers through WhatsApp. Indian Journal of Agricultural Sciences, 89(3), 556–558.
Niranjan, S., Singh, D. R., Kumar, N. R., Jha, G. K., Venkatesh, P., Nain, M. S., & Krishnakumare, B. (2023). Information networks and adoption of sustainable practices. Indian Journal of Extension Education, 59(1), 86–91.
Olsson, P., Folke, C., & Hahn, T. (2004). Social-ecological transformation for ecosystem management. Ecology and Society, 9(4). https://doi.org/10.5751/ES-00683-090402
Perez, C., & Germon, R. (2016). Graph creation and analysis for linking actors. In R. Layton & P. A. Watters (Eds.), Automating open source intelligence (pp. 103–129). Elsevier.
Pretty, J., & Ward, H. (2001). Social capital and the environment. World Development, 29(2), 209–227. https://doi.org/10.1016/S0305-750X(00)00098-X
Prokhorenkova, L. O., Pralat, P., & Raigorodskii, A. M. (2016). Modularity of complex networks models. In Proceedings of WAW 2016.
Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. Simon & Schuster.
Rama Rao, C. A., Raju, B. M. K., Islam, A., Subba Rao, A. V. M., Rao, K. V., Ravindra Chary, G., Nagarjuna Kumar, R., Prabhakar, M., Sammi Reddy, K., Bhaskar, S., & Chaudhari, S. K. (2019). Risk and vulnerability assessment of Indian agriculture to climate change. ICAR-CRIDA.
Revathi, E. (2014). Liberalizing lease market: Andhra Pradesh Land Licensed Cultivators Act (Working Paper No. 135). Centre for Economic and Social Studies.
Rockenbauch, T., & Sakdapolrak, P. (2017). Social networks and resilience of rural communities. Ecology and Society, 22(1).
Silva, K. N. (2023). Social networks and agricultural technology adoption. Indian Journal of Extension Education, 59, 1–6.
Singh, A., Singh, R., Nain, M. S., Mishra, J. R., Kumar, P., Sharma, D. K., & Paul, R. K. (2023). Linkage network structures of farmers. Indian Journal of Extension Education, 59(3), 14–20. https://doi.org/10.48165/IJEE.2023.59303
Srinivas, A., & Velusamy, R. L. (2015). Identification of influential nodes in social networks. In Proceedings of IEEE IACC (pp. 1179–1184). https://doi.org/10.1109/IADCC.2015.7154889
Szreter, S. (2004). Health by association? International Journal of Epidemiology, 33(4), 650–667. https://doi.org/10.1093/ije/dyh013
Thompson, D., & Lopez, B. S. (2019). Community resilience and collective agency. Local Environment, 24(12), 1156–1177. https://doi.org/10.1080/13549839.2019.1683723
Yadav, P., & Ghosh, S. (2023). Adaptation mechanisms of farmers in flood-prone areas. Indian Journal of Extension Education, 59(3), 32–37.
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