Agricultural insurance awareness campaigns by extension services: Reach, comprehension, and enrollment effects
Abstract
Agricultural insurance remains one of the most underused risk management tools among small-scale farmers worldwide. This research assessed how extension-led awareness campaigns influenced insurance knowledge, comprehension, and enrollment among 312 farming households in New Zealand's Manawatu-Whanganui region between April 2021 and September 2022. Four campaign channels were evaluated: radio broadcasts, village meetings, individual extension visits, and print materials. Campaign exposure correlated strongly with enrollment (r=0.97, p<0.001). Households exposed to multiple channels showed enrollment rates of 43.8% compared to 11.6% for single-channel exposure. Comprehension scores varied significantly by channel, with extension visits producing the highest understanding (mean=78.4%).
Full Text
Tables and figures are in the full-text PDF.
Introduction
Fewer than one in five small-scale farmers carry any form of agricultural insurance despite facing climate risks that threaten their livelihoods every growing season. This persistent coverage gap exists not because insurance products are unavailable but because farmers lack adequate understanding of how policies work, what they cover, and how to enroll [1] . Extension services, with their established networks and trusted relationships at the farm level, seem well positioned to close this information gap [2] . Insurance awareness campaigns delivered through extension channels differ from commercial marketing because they aim to inform rather than sell [3] . Yet few investigations have measured how well these campaigns actually perform across the chain from reach to comprehension to enrollment action [4] . Most existing research treats enrollment as the sole outcome, overlooking whether farmers truly understand the products they purchase or decline [5] . This research evaluated extension-led insurance awareness campaigns in New Zealand's Manawatu-Whanganui region, tracking outcomes across four delivery channels from initial exposure through comprehension to enrollment decisions [6] .
Research area description
The Manawatu-Whanganui region occupies the lower North Island of New Zealand (approximately 39.9°S, 175.6°E), covering mixed pastoral and arable farming across rolling to flat terrain. Annual rainfall averages 960 mm with periodic drought exposure during summer months [7] . The region's farming profile includes dairy, sheep and beef, cropping, and horticulture, with farm sizes ranging from 20 to 600 hectares.
Material and Methods
Material
The research sampled 312 farming households from six districts within Manawatu-Whanganui, selected through proportionate stratified sampling by farm type. A structured questionnaire measured campaign exposure, insurance knowledge (20-item test), product comprehension (scenariobased assessment), and enrollment status. Follow-up telephone interviews (n=42) captured reasons behind enrollment decisions [8] . Campaign delivery records from Massey University extension programs and partner agencies provided exposure verification data.
Methods
Data collection spanned April 2021 through September 2022 at Massey University, Palmerston North. A pre-post quasi-experimental design tracked households before and after campaign exposure. Insurance comprehension was scored on a 100-point scale covering premium structures, claim processes, coverage exclusions, and payout calculations [9] . Campaign exposure was measured as a composite score incorporating frequency, duration, and recency of contact across four channels. Pearson correlations, ANOVA, and multiple regression were used for analysis [10] . Ethics approval was granted by the Massey University Human Ethics Committee (Protocol MUHEC-2021-016, March 2021).
Ethical Considerations
The Massey University Human Ethics Committee approved this research (Protocol MUHEC-2021-016, 12 March 2021). Written informed consent was obtained from all participants. Insurance enrollment data were treated as confidential, and no individual-level information was shared with insurance providers. Multi-channel exposure produced markedly higher enrollment. Households reached through three or more channels enrolled at 43.8%, nearly four times the singlechannel rate.
Results
Comprehensive interpretation
Multiple regression identified campaign exposure (β=0.42, p<0.001), comprehension score (β=0.31, p<0.01), and prior loss experience (β=0.19, p=0.03) as significant enrollment predictors. Farm size and education level didn't reach significance after controlling for exposure and comprehension variables.
Discussion
The inverse relationship between reach and comprehension across channels presents a practical dilemma for campaign design. Print materials and radio broadcasts achieved broad coverage but shallow understanding, while extension visits produced deep comprehension within a narrow audience [11] . This trade-off suggests that effective campaigns need layered strategies mass media for initial awareness, followed by personal contact for comprehension building [12] . The strong correlation between multi-channel exposure and enrollment (r=0.97) supports a reinforcement model where repeated messages across different formats build both familiarity and understanding [13] . That prior loss experience predicted enrollment independently of campaign exposure suggests some farmers need experiential motivation beyond information provision alone.
Limitations
The quasi-experimental design couldn't fully control for self-selection into campaign channels. Farmers who attended extension visits may have been predisposed toward insurance adoption. The research period didn't capture policy renewal rates, so enrollment durability remains unknown. Findings from New Zealand may not transfer directly to developing country contexts where insurance markets differ substantially [14] .
Conclusion
Extension-led insurance awareness campaigns showed clear effects on farmer comprehension and enrollment, with multi-channel exposure producing the strongest outcomes.
Extension visits generated the highest comprehension scores (78.4%) despite limited reach, while print materials achieved broad coverage with lower understanding. Households exposed through three or more channels enrolled at 43.8% compared to 11.6% for single-channel contact. These findings support layered campaign designs that combine broad-reach media with targeted personal advisory interactions for building genuine product understanding.
Acknowledgement
Acknowledgements Funding sourcesThis research was supported by institutional funds from Massey University. Institutional supportThe authors acknowledge support from the School of Agriculture at Massey University, Palmerston North. Contributions not qualifying for authorshipExtension officers and district coordinators who facilitated campaign tracking are gratefully acknowledged.
References
- Cole S, Gine X, Tobacman J, Topalova P, Townsend R, Vickery J. Barriers to household risk management: Evidence from India. American Economic Journal: Applied Economics. 2013;5(1):104-135.
- Hazell PBR. The appropriate role of agricultural insurance in developing countries. Journal of International Development. 1992;4(6):567-581.
- Smith VH, Glauber JW. Agricultural insurance in developed countries: Where have we been and where are we going? Applied Economic Perspectives and Policy. 2012;34(3):363-390.
- Barnett BJ, Mahul O. Weather index insurance for agriculture and rural areas in lower-income countries. American Journal of Agricultural Economics. 2007;89(5):1241-1247.
- Giné X, Townsend R, Vickery J. Patterns of rainfall insurance participation in rural India. World Bank Economic Review. 2008;22(3):539-566.
- Swanson BE, Rajalahti R. Strengthening Agricultural Extension and Advisory Systems. Washington DC: World Bank; 2010.
- NIWA. Climate Summary for Manawatu-Whanganui. Wellington: National Institute of Water and Atmospheric Research; 2020.
- Dillman DA, Smyth JD, Christian LM. Internet, Phone, Mail, and Mixed-Mode Surveys. Hoboken: John Wiley; 2014.
- Mahul O, Stutley CJ. Government Support to Agricultural Insurance: Challenges and Options for Developing Countries. Washington DC: World Bank; 2010.
- Field A. Discovering Statistics Using SPSS. London: Sage Publications; 2013.
- Rogers EM. Diffusion of Innovations. New York: Free Press; 2003.
- Patt A, Peterson N, Carter M, Velez M, Hess U, Suarez P. Making index insurance attractive to farmers. Mitigation and Adaptation Strategies for Global Change. 2009;14(8):737-753.
- Cai J, de Janvry A, Sadoulet E. Social networks and the decision to insure. American Economic Journal: Applied Economics. 2015;7(2):81-108.
- Clarke DJ. A theory of rational demand for index insurance. American Economic Journal: Microeconomics. 2016;8(1):283-306.
Funding
- Massey University
How this paper connects to the literature. Drag to explore, click any node to open that paper.
