Determinants of Tree Growers' Preferences for Forest Insurance in Mufindi District, Tanzania

  • Riziki Habakuki Nyange Sokoine University of Agriculture
  • Gerald Claudius Monela Sokoine University of Agriculture
  • Beatus John Temu Sokoine University of Agriculture
Keywords: Forest insurance, Tree growers, Binary logistic model, Forest fire, Pest and diseases, Tanzania
Share Article:

Abstract

Private tree growers play a key role in sustainable wood supply and rural livelihoods, but face high vulnerability to natural disasters, fire, pests, and diseases. These hazards threaten incomes, market access, and forest productivity, yet research and policies addressing their specific risk management needs remain little known, creating a critical gap in enhancing their resilience and sustainability. This study analyses the factors influencing the decision of the tree growers to purchase forest insurance. One hundred twenty tree growers were sampled in four villages using a multistage sampling technique. Results show that 76.7% of the respondents were willing to pay for forest insurance on an annual premium payment basis. A binary logistic regression was used to analyse factors influencing willingness to pay for forest insurance. Results showed the extent of exposure to modern education, experience in tree planting, total income, and size of the forest significantly (Omnibus test value for model fitness 45.7659, p-value=0.000). Also, the multinomial logit model was used to analyse factors influencing the choice of insurance type, and results show that sex, income, experience in tree growing, previous occurrence of fire, tree species planted, and location of the farm have statistical significance. These insights also inform extension service agents and other forest stakeholders on how to tailor sensitisation and training programs. By focusing on the factors that most influence adoption, extension efforts can better address knowledge gaps, highlight the economic value of insurance, and build trust in the policy, ultimately increasing uptake among tree growers

Downloads

Download data is not yet available.

References

Abbass, K., Qasim, M. Z., Song, H., Murshed, M., Mahmood, H., & Younis, I. (2022). A review of the global climate change impacts, adaptation, and sustainable mitigation measures. Environmental Science and Pollution Research, 29(28), 42539–42559.

Ajiboye, B. O., Adeyonu, A. G., Faseyi, S. A., & Isitor, S. U. (2018). Factors Influencing Farmers’ Choice of Agricultural Insurance on Arable Crop Production in Kwara State, Nigeria. Nigerian Journal of Agricultural Economics, 8(1), 89–100.

Akanle, O., & Nwaobiala, U. R. (2020). Changing but fragile: Female breadwinning and family stability in Nigeria. Journal of Asian and African Studies, 55(3), 398–411.

Alemayehu, A., & Melka, Y. (2022). Small-scale eucalyptus cultivation and its socioeconomic impacts in Ethiopia: A review of practices and conditions. Trees, Forests and People, 8, 100269.

Attipoe, S. G., & Adams, A. (2024). Influential factors shaping cocoa farmers’ crop insurance participation and coverage amount in Ghana. Cogent Food & Agriculture, 10(1), 2417830.

Brunette, M., & Couture, S. (2023). Forest Insurance for Natural Events: An Overview by Economists. Forests, 14(2), 289.

Cubbage, F., Kanieski, B., Rubilar, R., Bussoni, A., Olmos, V. M., Balmelli, G., Mac Donagh, P., Lord, R., Hernández, C., & Zhang, P. (2020). Global timber investments, 2005 to 2017. Forest Policy and Economics, 112, 102082.

Davies, S. A. (2019). Applying financial risk approaches to the challenge of assessing natural disturbance risks to forests.

Dinkelman, T., & Ngai, L. R. (2022). Time use and gender in Africa in times of structural transformation. Journal of Economic Perspectives, 36(1), 57–80.

Etherton, B. A., Choudhury, R. A., Alcalá Briseño, R. I., Mouafo-Tchinda, R. A., Plex Sulá, A. I., Choudhury, M., Adhikari, A., Lei, S. L., Kraisitudomsook, N., & Buritica, J. R. (2024). Disaster plant pathology: Smart solutions for threats to global plant health from natural and human-driven disasters. Phytopathology®, 114(5), 855–868.

Falola, A., Ayinde, O. E., & Agboola, B. O. (2013). Willingness to take agricultural insurance by cocoa farmers in Nigeria. International Journal of Food and Agricultural Economics (IJFAEC), 1(1), 97–107.

Farooq, T. H., Shakoor, A., Wu, X., Li, Y., Rashid, M. H. U., Zhang, X., Gilani, M. M., Kumar, U., Chen, X., & Yan, W. (2021). Perspectives of plantation forests in the sustainable forest development of China.

Flanagan, A. C., Midgley, S. J., & Stevens, P. R. (2020). Smallholder tree-farmers and forest certification in Southeast Asia: alternative approaches to deliver more benefits to growers. Australian Forestry, 83(2), 52–65.

Güneri, Ö. İ., & Durmuş, B. (2020). Dependent dummy variable models: An application of logit, probit and tobit models on survey data. International Journal of Computational and Experimental Science and Engineering, 6(1), 63–74.

Islam, D. Il, Rahman, A., Sarker, M. S. R., Luo, J., & Liang, H. (2021). Factors affecting farmers’ willingness to adopt crop insurance to manage disaster risk: evidence from Bangladesh. International Food and Agribusiness Management Review, 24(3), 463–479.

Kaganzi, K. R., Cuni-Sanchez, A., Mcharazo, F., Martin, E. H., Marchant, R. A., & Thorn, J. P. R. (2021). Local perceptions of climate change and adaptation responses from two mountain regions in Tanzania. Land, 10(10), 999.

Karupu, R. M., Mbeyale, G. E., & Lusambo, L. P. (2021). Forest resources perceived importance and dependency in Masida community forest, Zambezi region, Namibia. Tanzania Journal of Forestry and Nature Conservation, 90(2), 18–26.

Kifyasi, A. A. (2021). Exploitation Paradox: Sao-Hill Forest Plantation and the Indigenous Community Livelihoods in Mufindi, Tanzania, 1970s to 2010. Tanzania Zamani, 13(2), 147–180.

Kimambo, N. E., L’roe, J., Naughton-Treves, L., & Radeloff, V. C. (2020). The role of smallholder woodlots in global restoration pledges–Lessons from Tanzania. Forest Policy and Economics, 115, 102144.

Komu, S. C. S. (2020). The Prevalence of HIV/AIDS in Mufindi District–Iringa Region. International Journal of Academic Research, 2(3), 185–194.

Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International.

Liao, H., He, Y., Wu, X., Wu, Z., & Bausys, R. (2023). Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review. Information Fusion, 101970.

Lusambo, L. P., Midtgaard, F., & Nyamoga, G. (2021). Effects of participatory forest management on livelihoods of communities adjacent to forests in redd+ pilot areas of Mufindi, Iringa Rural and Mbozi districts, Tanzania. Tanzania Journal of Forestry and Nature Conservation, 90(3), 104–116.

Madoffe, P. R. and. (2011). Status of pine wooly aphid in Sao Hill forest plantation. In Journal of Entomology.

Masara, C., & Dube, L. (2017). Socio-economic factors influencing uptake of agriculture insurance by smallholder maize farmers in Goromonzi district of Zimbabwe. Journal of Agricultural Economics and Rural Development, 3(1), 160–166.

Mensah, N. O., Twintoh, J. J., Amrago, E. C., Donkor, A., & Anang, S. A. (2021). Forestry insurance preference among tree growers in the Ashanti Region of Ghana: a tobit and multi-nomial regression approach. Managerial Finance.

Meyer, S. E., Callaham, M. A., Stewart, J. E., & Warren, S. D. (2021). Invasive species response to natural and anthropogenic disturbance. Invasive Species in Forests and Rangelands of the United States: A Comprehensive Science Synthesis for the United States Forest Sector, 85–110.

Mgina, M., & Wawa, A. (2021). Assessment of wildfires in Tanzania forest plantations: A case of Sao Hill in Mufindi District. Huria: Journal of the Open University of Tanzania, 27(2).

Mgoo, O. S., Temu, B. J., Mwambusi, J. N., & Chamshama, S. A. O. (2024). Forest Management Optimization Scenarios for Climatic and Economic Benefits Generated from Tectona grandis Plantation in Muheza, Tanzania. Tanzania Journal of Science, 50(3), 483–495.

Mubarik, M. S., & Naghavi, N. (2020). Human capital, green energy, and technological innovations: Firm-level analysis. Econometrics of Green Energy Handbook: Economic and Technological Development, 151–164.

Mwakasungula, K., & Mombo, F. (2025). Cost effectiveness and financial implications to smallholder tree growers in Mufindi district Tanzania. Trees, Forests and People, 20, 100809.

Mwambusi, J. N., Kapp, G., & Chamshama, S. A. O. (2021). The silviculture of woodlots of smallholder forest producers in Mufindi District, Tanzania: knowledge and treatments. Tanzania Journal of Forestry and Nature Conservation, 90(3), 40–61.

Mwinyimkuu, R. S., Temu, B. J., Makindara, J. R., & Abdallah, J. M. (2022). Sawnwood value chain analysis in Ulanga District and Morogoro Municipality, Tanzania. International Forestry Review, 24(2), 208–224.

Nambiar, E. K. S. (2021a). Small forest growers in tropical landscapes should be embraced as partners for Green-growth: Increase wood supply, restore land, reduce poverty, and mitigate climate change. Trees, Forests and People, 6, 100154.

Nambiar, E. K. S. (2021b). Strengthening Vietnam’s forestry sectors and rural development: Higher productivity, value, and access to fairer markets are needed to support small forest growers. Trees, Forests and People, 3, 100052.

Norton, M., van Sprundel, G.-J., Turvey, C. G., & Meuwissen, M. P. M. (2016). Applying weather index insurance to agricultural pest and disease risks. International Journal of Pest Management, 62(3), 195–204.

Nyange, R., Monela, G., & Temu, B. (2025). Willingness to Pay and Factors Influencing the Amount of Forestry Insurance by Tree Growers in Mufindi, Tanzania. East African Journal of Interdisciplinary Studies, 8(1), 1-12.

Ofoegbu, C., Chirwa, P., Francis, J., & Babalola, F. (2017). Assessing vulnerability of rural communities to climate change: A review of implications for forest-based livelihoods in South Africa. International Journal of Climate Change Strategies and Management, 9(03), 374–386.

Payn, T., Carnus, J.-M., Freer-Smith, P., Kimberley, M., Kollert, W., Liu, S., Orazio, C., Rodriguez, L., Silva, L. N., & Wingfield, M. J. (2015). Changes in planted forests and future global implications. Forest Ecology and Management, 352, 57–67.

Petro, R., & Madoffe, S. S. (2011). Status of Pine Woolly Aphid (Pineus boerneri) in Sao-Hill forest plantation, Tanzania. Journal of Entomology, 8(5), 468–475.

Phiri, A. T., Toure, H. M. A. C., Kipkogei, O., Traore, R., Afokpe, P. M. K., & Lamore, A. A. (2022). A review of gender inclusivity in agriculture and natural resources management under the changing climate in sub-Saharan Africa. Cogent Social Sciences, 8(1), 2024674.

Qin, T., Gu, X., Tian, Z., Pan, H., Deng, J., & Wan, L. (2016). An empirical analysis of the factors influencing farmer demand for forest insurance: Based on surveys from Lin’an County in Zhejiang Province of China. Journal of Forest Economics, 24, 37–51.

Sacchelli, S., Cipollaro, M., & Fabbrizzi, S. (2018). A GIS-based model for multiscale forest insurance analysis: The Italian case study. Forest Policy and Economics, 92, 106–118.

Sauter, P. A., Möllmann, T. B., Anastassiadis, F., Mußhoff, O., & Möhring, B. (2016). To insure or not to insure? Analysis of foresters’ willingness-to-pay for fire and storm insurance. Forest Policy and Economics, 73, 78–89. https://doi.org/10.1016/j.forpol.2016.08.005.

Simon, S. M., Glaum, P., & Valdovinos, F. S. (2023). Interpreting random forest analysis of ecological models to move from prediction to explanation. Scientific Reports, 13(1), 3881.

Singh, A. S., & Masuku, M. B. (2014). Sampling techniques & determination of sample size in applied statistics research: An overview. International Journal of Economics, Commerce and Management, 2(11), 1–22.

Stanturf, J. A., & Mansourian, S. (2020). Forest landscape restoration: state of play. Royal Society Open Science, 7(12), 201218.

Suleiman, M. S., Wasonga, V. O., Mbau, J. S., Suleiman, A., & Elhadi, Y. A. (2017). Non-timber forest products and their contribution to households income around Falgore Game Reserve in Kano, Nigeria. Ecological Processes, 6, 1–14.

Temu, B. J., Monela, G. C., Darr, D., Abdallah, J. M., & Pretzsch, J. (2024). Forest sector contribution to the National Economy: Example wood products value chains originating from Iringa region, Tanzania. Forest Policy and Economics, 164, 103246.

Washington, S., Karlaftis, M. G., Mannering, F., & Anastasopoulos, P. (2020). Statistical and econometric methods for transportation data analysis. Chapman and Hall/CRC.

Yassine, A., & Bakass, F. (2022). Do education and employment play a role in youth’s poverty alleviation? Evidence from Morocco. Sustainability, 14(18), 11750.

Zhang, D., & Stenger, A. (2014). Timber insurance: perspectives from a legal case and a preliminary review of practices throughout the world. New Zealand Journal of Forestry Science, 44(1), 1–7.

Zhou, X., Zhu, H., Wen, Y., Goodale, U. M., Zhu, Y., Yu, S., Li, C., & Li, X. (2020). Intensive management and declines in soil nutrients lead to serious exotic plant invasion in Eucalyptus plantations under successive short‐rotation regimes. Land Degradation & Development, 31(3), 297–310.

Published
18 August, 2025
How to Cite
Nyange, R., Monela, G., & Temu, B. (2025). Determinants of Tree Growers’ Preferences for Forest Insurance in Mufindi District, Tanzania. East African Journal of Forestry and Agroforestry, 8(1), 390-405. https://doi.org/10.37284/eajfa.8.1.3497