Unravelling Stakeholder Power and Influence Dynamics in Agricultural Extension and Advisory Services at The Local Level in Federal Nepal
DOI:
https://doi.org/10.24925/turjaf.v14i2.338-350.8115Keywords:
Stakeholder analysis, social network analysis, centrality, power mapping, service deliveryAbstract
Given the scale and complexity of the diverse agricultural realm, a linear and straightforward flow of advisory service delivery doesn’t seem effective. Current advisory service delivery emphasizes interaction and dynamics between heterogeneous stakeholders for an effective and efficient service flow globally. This research article contributes to such dynamics by exploring heterogeneous stakeholders' influence and power in extension and advisory services at the local/municipal level in federal Nepal. A convergent parallel mixed-method study design was employed in conjunction with a cross-sectional research strategy. Structured interview, FGD and KII were major tools of data collection. In order to conduct a structured face to face interview, 213 stakeholders were chosen in Chandragiri and Dakshinkali municipalities through simple random sampling followed by four focus groups, 23 key informant interviews. Social network analysis and influence mapping tool was conducted to find relative influence of stakeholders within a network whereas garrets ranking and power mapping tool was conducted to assess the relative power of stakeholders within a network. The data set ensured to have minimum characteristics and standard to run the social network analysis. The social network analysis and influence mapping tool revealed that the agriculture section has the highest influence (eigenvector centrality (CE)=1; betweenness centrality (CB)=7249.41), followed by the farmers group (CE=0.92; CB=5494.58), progressive farmers (CE=0.852; CB=4907.39), and input suppliers (CE=0.7; CB=2960.68) in the extension and advisory service network. Garrett’s ranking and power mapping tool revealed that political representatives were most powerful (decision-making, resource allocation, and implementation) at the municipal level, followed by the agriculture section, administrative officer, and farmers group. However, the knowledge gap is more persistent among them (apart from the agriculture section). The present agriculture advisory service through the local government didn’t incorporate all the relevant stakeholders that have more power and influence across the service delivery dynamics. This result in inefficient and not so satisfactory service to the service recipient that are the end user of the services. The study emphasizes the need for the recognition of neglected influencing stakeholders i.e., input suppliers and progressive farmers along with knowledge level enhancement of them. The study could be used to formulate better policies, frameworks, guidelines for effective and efficient delivery of public extension and advisory services at federal Nepal.
References
Acharya, K. K. (2018). Local Governance Restructuring in Nepal: From Government to Governmentality. Dhaulagiri Journal of Sociology and Anthropology, 12, 37–49. https://doi.org/10.3126/DSAJ.V12I0.22178
Ackermann, F., & Eden, C. (2011). Strategic Management of Stakeholders: Theory and Practice. Long Range Planning, 44(3), 179–196. https://doi.org/10.1016/J.LRP.2010.08.001
Ampt, P., Cross, R., Ross, H., & Howie, B. (2015). The case for retaining , redefining and reinvigorating extension in agricultural innovation systems. 11(1), 157–164.
Angle, N., Maskey, G., Pokharel, K., Graphics, M., Devkota, K., Thapa, D., & Dhungana Volume, H. (2016). Weak Institutional Interaction: Reason for Poor Agricultural Extension Services Delivery in Nepal. Nepal Journal of Social Science and Public Policy, 4(1), 88–103. https://doi.org/10.53037/NA.V4I1.22
Bahl, R. W., Timofeev, A., & Yilmaz, S. (2022). Implementing federalism: The case of Nepal. Public Budgeting & Finance, 42(3), 23–40. https://doi.org/10.1111/PBAF.12314
Bhattacherjee, A. (2012). Social Science Research: principles, methods, and practices (2nd ed.). Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1002&context=oa_textbooks
Bloch, F., Jackson, M. O., & Tebaldi, P. (2023). Centrality measures in networks. Social Choice and Welfare, 61(2), 413–453. https://doi.org/10.1007/s00355-023-01456-4
Borgatti, S., & Ofem, B. (2010). Social network theory and analysis. Social Network Theory and Educational Change, 17, 29. https://www.researchgate.net/profile/Stephen-Borgatti/publication/298097232_Overview_Social_network_theory_and_analysis/links/5715549508ae0f1a39b1a475/Overview-Social-network-theory-and-analysis.pdf
Boston, C., & Kadushin, M. (2004). Some Basic Concept and Proposition. In Introduction to social network theory. http://melander335.wdfiles.com/local--files/reading-history/kadushin.pdf
Cheung, K. F., Bell, M. G. H., Pan, J. J., & Perera, S. (2020). An eigenvector centrality analysis of world container shipping network connectivity. Transportation Research Part E: Logistics and Transportation Review, 140, 101991. https://doi.org/10.1016/J.TRE.2020.101991
Creswell, J. W. (2018). Educational Research: Planning, Conducting and Evaluating Quantitative and Qualitative Research. In Pearson (Fourth).
Cvitanovic, C., McDonald, J., & Hobday, A. J. (2016). From science to action: Principles for undertaking environmental research that enables knowledge exchange and evidence-based decision-making. Journal of Environmental Management, 183. https://doi.org/10.1016/j.jenvman.2016.09.038
Das, K., Samanta, S., & Pal, M. (2018). Study on centrality measures in social networks: a survey. Social Network Analysis and Mining , 8(1), 1–11. https://doi.org/10.1007/S13278-018-0493-2
de Roo, N., Amede, T., Elias, E., Almekinders, C., & Leeuwis, C. (2023). Diffusion of agricultural knowledge in Southern Ethiopia: finding the real opinion leaders through network analysis. Journal of Agricultural Education and Extension, 29(1), 99–115. https://doi.org/10.1080/1389224X.2021.1987282
Devi, K., & Tripathi, R. (2020, July 1). Social Network Analysis for efficient delivery of Agricultural Extension Services. 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020. https://doi.org/10.1109/ICCCNT49239.2020.9225274
Devkota, K., & Thapa, D. (2019). Agriculture Extension Service Delivery in Federal Nepal: Emerging Challenges and Way Forward. Agricultural Extension in South Asia, 1(01), 14. https://kebijakankesehatanindonesia.net/images/2019/policy_brief_wujudkan_keadilan_sosial_dalam_jkn.pdf
Dhanavandan, S. (2016). APPLICATION OF GARRET RANKING TECHNIQUE: PRACTICAL APPROACH. International Journal of Library and Information Studies, 6(3). www.ijlis.org
Dhital, P. R. (2017a). AGRICULTURAL EXTENSION IN NEPAL : EXPERIENCES AND ISSUES. JOURNAL OF ADVANCES IN AGRICULTURE, 7(3). https://doi.org/10.24297/jaa.v7i3.6287
Dhital, P. R. (2017b). AGRICULTURAL EXTENSION IN NEPAL: EXPERIENCES AND ISSUES. JOURNAL OF ADVANCES IN AGRICULTURE, 7(3).
Dunn, W. N. (1983). Social Network Theory. Knowledge, 4(3), 453–461. https://doi.org/10.1177/107554708300400306
Eidt, C. M., Pant, L. P., & Hickey, G. M. (2020). Platform, participation, and power: How dominant and minority stakeholders shape agricultural innovation. Sustainability (Switzerland), 12(2). https://doi.org/10.3390/su12020461
Farooq, A., & Khan, M. Z. (2019). Knowledge gap of improved management practices of Sugarcane growers in Khyber Pakhtunkhwa, Pakistan. Sarhad Journal of Agriculture, 35(2), 523–531. https://doi.org/10.17582/journal.sja/2019/35.2.523.531
Francis, J. J., Johnston, M., Robertson, C., Glidewell, L., Entwistle, V., Eccles, M. P., & Grimshaw, J. M. (2010). What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychology and Health, 25(10). https://doi.org/10.1080/08870440903194015
Freeman, C. L. (2004). The Development of Social Network Analysis. BookSurge, LLC. https://www.researchgate.net/profile/Linton-Freeman-2/publication/239228599_The_Development_of_Social_Network_Analysis/links/54415c650cf2e6f0c0f616a8/The-Development-of-Social-Network-Analysis.pdf
Freeman, L. . (1977). A Set of Measures of Centrality Based on Betweenness. Sociometry, 40(1), 35. https://doi.org/10.2307/3033543
Freeman, R. E. (2023). Stakeholder Management: Framework and Philosophy. In Selected Works on Stakeholder Theory and Business Ethics. (pp. 61–88). Springer. https://doi.org/10.1017/cbo9781139192675.006
Fronzetti Colladon, A., & Naldi, M. (2020). Distinctiveness centrality in social networks. PLoS ONE, 15(5). https://doi.org/10.1371/journal.pone.0233276
GON. (2015a). Constitution of Nepal. https://www.mohp.gov.np/downloads/Constitution of Nepal 2072_full_english.pdf
GON. (2015b). The Constitution of Nepal. www.lawcommission.gov.np
Gordon, A. (2021). Professionalizing farmer organizations through private sector-led models. In Food and Agriculture Organization of the United Nations and the International Food Policy Research Institute. https://doi.org/10.4060/cb7133en
Gregory, A. J., Atkins, J. P., Midgley, G., & Hodgson, A. M. (2020). Stakeholder identification and engagement in problem structuring interventions. European Journal of Operational Research, 283(1), 321–340. https://doi.org/10.1016/j.ejor.2019.10.044
Guzzini, S. (2013). The Concept of Power : A constructivist analysis. Power, Realism and Constructivism, 217–236. https://doi.org/10.4324/9780203071748-16
Hermans, T. D. G., Whitfield, S., Dougill, A. J., & Thierfelder, C. (2021). Why we should rethink ‘adoption’ in agricultural innovation: Empirical insights from Malawi. Land Degradation and Development, 32(4). https://doi.org/10.1002/ldr.3833
Huber, S., & Davis, K. (2017). Nigeria : In-depth Assessment of Extension and Advisory Services. In A report of an in-depth analysis of the extension and advisory services (EAS) system in Nigeria (Issue March).
iied. (2005a). Stakeholder Influence Mapping. https://policy-powertools.org/Tools/Understanding/docs/stakeholder_influence_mapping_tool_english.pdf
iied. (2005b). Stakeholder power analysis. http://www.policy-powertools.org/Tools/Understanding/docs/stakeholder_power_tool_english.pdf
Ingram, J., Gaskell, P., Mills, J., & Dwyer, J. (2020). How do we enact co-innovation with stakeholders in agricultural research projects? Managing the complex interplay between contextual and facilitation processes. Journal of Rural Studies, 78, 65–77. https://doi.org/10.1016/J.JRURSTUD.2020.06.003
Jaishi, M., Nepali, P. B., Rijal, S., & Dhakal, B. (2020). Strengthening Research-Education-Extension (R-E-E) Linkage in New Context of Federal Structured Nepal. Responsible Education, Learning and Teaching in Emerging Economies, 2(1), 1–11. https://doi.org/10.26710/relate.v2i1.1309
Jaishi, M., Nepali, P. B., Timsina, R. K., & Neupane, H. (2022). Linking Agriculture Research Extension Education and Farmer (Areef) In Local Level: Municipal Perspectives. Responsible Education, Learning and Teaching in Emerging Economies, 4(1), 15–26. https://doi.org/10.26710/relate.v4i1.2407
Jaishi, M., Prasad Sharma, G., Bahadur Nepali, P., Gauchan, D., Krishna Shrestha, R., Prasad Timsina, K., Neupane, H., & Jaishi, M. (2023). Government Framework for Agriculture Service Delivery at the Local Level in Nepal. Nepal Public Policy Review, 3(1), 95–117. https://doi.org/10.59552/nppr.v3i1.28
Jayantha, K., Ariyawansa, R. G., & Anura Kumara, U. (2020). Which Definition Should We Select? Power of Definitions. European Journal of Social Sciences, 60(4), 285–301. http://www.europeanjournalofsocialsciences.com/
Joshi, G. T., Kumar, A., & Joshi, P. K. (2019). Agricultural Transformation in Nepal Trends, Prospects, and Policy Options. In Springer. https://doi.org/10.1007/978-981-32-9648-0_17
Junquera, V., Rubenstein, D. I., Grêt-Regamey, A., & Knaus, F. (2022). Structural change in agriculture and farmers’ social contacts: Insights from a Swiss mountain region. Agricultural Systems, 200. https://doi.org/10.1016/j.agsy.2022.103435
Klerkx, L. (2020). Advisory services and transformation, plurality and disruption of agriculture and food systems: towards a new research agenda for agricultural education and extension studies. In Journal of Agricultural Education and Extension (Vol. 26, Issue 2). https://doi.org/10.1080/1389224X.2020.1738046
Knook, J., & Turner, J. A. (2020). Reshaping a farming culture through participatory extension: An institutional logics perspective. Journal of Rural Studies, 78. https://doi.org/10.1016/j.jrurstud.2020.06.037
Krause, J., Croft, D. P., & James, R. (2007). Social network theory in the behavioural sciences: Potential applications. Behavioral Ecology and Sociobiology, 62(1), 15–27. https://doi.org/10.1007/S00265-007-0445-8
Kujala, J., Sachs, S., Leinonen, H., Heikkinen, A., & Laude, D. (2022). Stakeholder Engagement: Past, Present, and Future. Business and Society, 61(5), 1136–1196. https://doi.org/10.1177/00076503211066595
Landherr, D. A., Friedl, D.-M. B., & Heidemann, J. (2010). A Critical Review of Centrality Measures in Social Networks. Business & Information Systems Engineering 2010 2:6, 2(6), 371–385. https://doi.org/10.1007/S12599-010-0127-3
Lenth, R. V. (2001). Some practical guidelines for effective sample size determination. In American Statistician (Vol. 55, Issue 3). https://doi.org/10.1198/000313001317098149
Li, H. (2018). Centrality analysis of online social network big data. IEEE 3rd International Conference on Big Data Analysis, ICBDA , 38–42. https://doi.org/10.1109/ICBDA.2018.8367648
Li, Y., Chen, W., Wang, Y., & Zhang, Z. L. (2013). Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships. WSDM 2013 - Proceedings of the 6th ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/2433396.2433478
Mahat-Shamir, M., Neimeyer, R. A., & Pitcho-Prelorentzos, S. (2021). Designing in-depth semi-structured interviews for revealing meaning reconstruction after loss. Death Studies, 45(2). https://doi.org/10.1080/07481187.2019.1617388
March, J. G. (2017). The power of power. In Paradigms of Political Power. Taylor and Francis. https://doi.org/10.4324/9781315125992-12/POWER-POWER-JAMES-MARCH
Mcharo, A. C. (2013). Perception of farmers on effectiveness of agricultural extension agents in knowledge transfer to maize growers in Kilindi district. http://www.suaire.sua.ac.tz/handle/123456789/579
Mitchell, R. K., Agle, B. R., & Wood, D. J. (1997). Toward a theory of stakeholder identification and salience: Defining the principle of who and what really counts. Academy of Management Review, 22(4), 853–886. https://doi.org/10.5465/AMR.1997.9711022105
Mutsvangwa, E. P. S., & Manzungu, E. (2021). Unpacking the narrative of agricultural innovations as the sine qua non of sustainable rural livelihoods in Southern Africa. Journal of Rural Studies, 86, 181–188. https://doi.org/10.1016/j.jrurstud.2021.06.005
Myllykangas, P., Kujala, J., & Lehtimäki, H. (2010). Analyzing the Essence of Stakeholder Relationships: What do we Need in Addition to Power, Legitimacy, and Urgency? Journal of Business Ethics, 96(1), 65–42. https://doi.org/10.1007/s
NLC. (2017). Local Government Operation Act, 2017. In Government of Nepal (Issue 1).
Norton, G. W., & Alwang, J. (2020). Changes in Agricultural Extension and Implications for Farmer Adoption of New Practices. Applied Economic Perspectives and Policy, 42(1), 8–20. https://doi.org/10.1002/aepp.13008
Onwuatuegwu, I. N. (2020). Re-Definition of the Concept of Power (A Case Study in Africa). International Journal of Scientific and Research Publications (IJSRP), 10(4), p10043. https://doi.org/10.29322/ijsrp.10.04.2020.p10043
Pandey, P., & Pandey, M. M. (2015). Research Methodology: Tools and Techniques. Bridge Center.
Phillips, R., Freeman, R. E., & Wicks, A. C. (2003). WHAT STAKEHOLDER THEORY IS NOT. Business Ethics Quaterly, 13(4), 479–502.
Ramirez, A. (2013). The Influence of Social Networks on Agricultural Technology Adoption. Procedia - Social and Behavioral Sciences, 79. https://doi.org/10.1016/j.sbspro.2013.05.059
Schiffer, & Eva. (2007a). The power mapping tool: A method for the empirical research of power relations. IFPRI Discussion Papers. https://ideas.repec.org/p/fpr/ifprid/703.html
Schiffer, & Eva. (2007b). The power mapping tool: A method for the empirical research of power relations. In IFPRI discussion papers. International Food Policy Research Institute (IFPRI). https://ideas.repec.org/p/fpr/ifprid/703.html
Sih, A., Hanser, S. F., & McHugh, K. A. (2009). Social network theory: New insights and issues for behavioral ecologists. Behavioral Ecology and Sociobiology, 63(7), 975–988. https://doi.org/10.1007/S00265-009-0725-6
Skaalsveen, K., Ingram, J., & Urquhart, J. (2020). The role of farmers’ social networks in the implementation of no-till farming practices. Agricultural Systems, 181, 102824. https://doi.org/10.1016/J.AGSY.2020.102824
Subedi, A. P., Jaishi, M., & Parajuli, S. (2025). Analyzing Extension and Advisory Service Delivery Dynamics in Nepal through Social Network Analysis Lens: A Comparative Study. Asian Journal of Agricultural Extension, Economics & Sociology, 43(1), 124–142. https://doi.org/10.9734/ajaees/2025/v43i12679
Sulaiman, R. V, & Hall, A. (2003). Towards Extension-plus : Opportunities and Challenges.
Taherdoost, H. (2016). Validity and Reliability of the Research Instrument; How to Test the Validation of a Questionnaire/Survey in a Research. International Journal of Academic Research in Management, 5(3), 28–36. https://doi.org/10.2139/SSRN.3205040
Taherdoost, H. (2021). Data Collection Methods and Tools for Research; A Step-by-Step Guide to Choose Data Collection Technique for Academic and Business Research Projects. In International Journal of Academic Research in Management (IJARM) (Vol. 2021, Issue 1).
Takahashi, K., Muraoka, R., & Otsuka, K. (2020). Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature. Agricultural Economics (United Kingdom), 51(1), 31–45. https://doi.org/10.1111/agec.12539
Tamang, K., Neupane, A., & Jaishi, M. (2020). Agricultural Extension Service Delivery in Provincial and Local Government of Nepal: An Integrative Literature Review. Journal of the Institute of Agriculture and Animal Science, 36, 269–277. https://doi.org/10.3126/JIAAS.V36I1.48429
Tamang, S., Paudel, K. P., & Shrestha, K. K. (2014). Feminization of Agriculture and its Implications for Food Security in Rural Nepal. Journal of Forest And Livelihood, 12(1), 20–32.
Taylor, D., Myers, S. A., Clauset, A., Porter, M. A., & Mucha, P. J. (2017). Eigenvector-Based Centrality Measures for Temporal Networks. Https://Doi.Org/10.1137/16M1066142, 15(1), 537–574. https://doi.org/10.1137/16M1066142
Tudisco, F., & Higham, D. J. (2021). Node and edge nonlinear eigenvector centrality for hypergraphs. Communications Physics, 4(1). https://doi.org/10.1038/s42005-021-00704-2
Waithaka, M. (2005). Communication for rural innovation: rethinking agricultural extension. Agricultural Systems, 84(3). https://doi.org/10.1016/j.agsy.2004.10.002
Wood, B. A., Blair, H. T., Gray, D. I., Kemp, P. D., Kenyon, P. R., Morris, S. T., & Sewell, A. M. (2014). Agricultural science in the wild: A social network analysis of farmer knowledge exchange. PLoS ONE, 9(8). https://doi.org/10.1371/journal.pone.0105203
Worth, S. H. (2006). Agriflection: A Learning Model for Agricultural Extension in South Africa. The Journal of Agricultural Education and Extension, 12(3). https://doi.org/10.1080/13892240600915488
Xu, Q., Sun, L., & Bu, C. (2023). The two-steps eigenvector centrality in complex networks. Chaos, Solitons & Fractals, 173, 113753. https://doi.org/10.1016/J.CHAOS.2023.113753
Yousefi Nooraie, R., Sale, J. E. M., Marin, A., & Ross, L. E. (2020). Social Network Analysis: An Example of Fusion Between Quantitative and Qualitative Methods. Journal of Mixed Methods Research, 14(1), 110–124. https://doi.org/10.1177/1558689818804060
Zhang, J., & Luo, Y. (2017a). Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network. Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017), 300–303. https://doi.org/10.2991/MSAM-17.2017.68
Zhang, J., & Luo, Y. (2017b). Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network. Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2017), 300–303. https://doi.org/10.2991/MSAM-17.2017.68
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