Risk Preference Responses to Fertilizer Expenditures: A Case of Maize Smallholder Farmers in Iringa and Arusha Regions in Tanzania

Mwaijande V. J. *

Department of Development and Strategic Studies, Sokoine University of Agriculture, Morogoro, Tanzania and Tanzania Agricultural Research Institute, TARI- Mikocheni, Dar es Salaam, Tanzania.

J. V. Msinde

Institute of Development Studies, University of Dar es Salaam, Dar es Salaam, Tanzania.

A. M. Akyoo

Department of Agricultural Economics and Agribusiness, Sokoine University of Agriculture, Morogoro, Tanzania.

A. A. Mushongi

Tanzania Agricultural Research Institute TARI- Ilonga, Morogoro, Tanzania.

*Author to whom correspondence should be addressed.


Abstract

Initiatives have been tested to improve usage and expenditures on inorganic fertilizers; most did not yield the expected results, particularly in highly maize-growing highlands. This study evaluates the usage of inorganic fertilizers and the influence of maize farmers’ risk preferences on expenditure in inorganic fertilizers in the Iringa and Arusha regions. Data were adopted from an Agronomic Panel Survey (APS) from 129 maize farmers’ household heads (HHs), randomly selected within a spatial sampling frame in the maize-growing regions of the Southern and Northern highlands of Tanzania. Data were analyzed using descriptive statistics and Tobit model. Results revealed that the majority of maize farmers (64%) did not apply inorganic fertilizers on maize plots. Results further showed statistical significance for the Arusha region (p<0.001), non-schooling (p<0.05), primary education (0.01), ordinary secondary education (p<0.05), number of plots (p<0.05) and size of the maize plot (p<0.001) in predicting inorganic fertilizer expenditures when Tobit model was estimated. Nevertheless, risk-preferred maize farmers statistically influenced fertilizer expenditure when both highlands were included. The study recommends a model comprising risk preferences, geographical factors, and household characteristics in studying farmers’ decisions on expenditure of inorganic fertilizers in respective regions and districts to uncover the location specificity and improve maize production.

Keywords: Risk preferences, inorganic fertilizer expenditures, inorganic fertilizer use, maize smallholders


How to Cite

Mwaijande V. J., Msinde , J. V., Akyoo , A. M., & Mushongi , A. A. (2023). Risk Preference Responses to Fertilizer Expenditures: A Case of Maize Smallholder Farmers in Iringa and Arusha Regions in Tanzania. Asian Research Journal of Agriculture, 16(4), 1–15. https://doi.org/10.9734/arja/2023/v16i4397

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References

Cooper PJM, Dimes J, Rao KPC, Shapiro B, Shiferaw B, Twomlow S. Coping better with current climatic variability in the rain-fed farming systems of sub-Saharan Africa: An essential first step in adapting to future climate change? Agriculture, Ecosystems & Environment. 2008;126(1):24-35. DOI: https://doi.org/10.1016/j.agee.2008.01.007

Charness G, Gneezy U, Imas A. Experimental methods: Eliciting risk preferences. Journal of Economic Behavior & Organization. 2013;87:43-51. DOI:https://doi.org/10.1016/j.jebo.2012.12.023

De Brauw A, Eozenou P. Measuring risk attitudes among Mozambican farmers. Journal of Development Economics. 2014; 111:61-74.

Holden ST. Fertilizer and sustainable intensification in Sub-Saharan Africa. Global food security. 2018;18:20-26.

Sanou A. Technology adoption when risk attitudes matter: Evidence from incentivized field experiments in Niger: Michigan State University; 2015.

Liverpool-Tassie LSO, Omonona BT, Sanou A, Ogunleye W. Fertilizer use and farmer productivity in Nigeria: The way forward—a reflection piece. Gates Open Res. 2019;3(763):763.

Mukasa AN. Technology adoption and risk exposure among smallholder farmers: Panel data evidence from Tanzania and Uganda. World Development. 2018;105:299-309.

Liverpool-Tassie LSO, Omonona BT, Sanou A, Ogunleye W. A profitability analysis of fertilizer use for maize production in Nigeria. Gates Open Res. 2019;3(69):69.

Arslan RC, Brümmer M, Dohmen T, Drewelies J, Hertwig R, Wagner GG. How people know their risk preference. Scientific reports. 2020;10(1):1-14.

Kemeze FH, Miranda MJ, Kuwornu JK, Anim-Somuah H. Smallholder farmer risk preferences in northern ghana: evidence from a controlled field experiment. The Journal of Development Studies. 2020; 56(10):1894-1908,

DOI: 10.1080/00220388.2020.1715

Bongole AJ. Climate smart agricultural practises and food security: A case of mbeya and songwe regions in Tanzania (Doctoral dissertation, Sokoine University of Agriculture); 2021.

Mwaijande VJ, Msinde JV, Akyoo AM, Mushongi AA. Risk preferences and risk perceptions among smallholder maize farmers in Tanzania: Evidence from a Framed Field Experiment. Theoretical Economics Letters. 2023;13:397-418. Available:https://doi.org/10.4236/tel.2023.133027

Senkoro CJ, Ley GJ, Marandu AE, Wortmann C, Mzimbiri M, Msaky J, Umbwe R, Lyimo SD. Optimizing fertilizer use within the context of integrated soil fertility management in Tanzania. Fertilizer Use Optimization in sub-Saharan Africa. 2017;17:176-192.

Lobulu J, Shimelis H, Laing M, Mushongi AA. Maize production constraints, traits preference and current Striga control options in western Tanzania: farmers’ consultation and implications for breeding. Acta Agriculturae Scandinavica, Section B—Soil & Plant Science. 2019;69(8):734-746.

Morris ML. Fertilizer use in African agriculture: Lessons learned and good practice guidelines: World Bank Publications; 2007.

Khan ZR, Midega CAO, Pittchar JO, Murage AW, Birkett MA, Bruce TJA, Pickett JA. Achieving food security for one million sub-Saharan African poor through push–pull innovation by 2020. Philosophical Transactions of the Royal Society of London B: Biological Sciences. 2014;369(1639).

Magrini E, Vigani M. Technology adoption and the multiple dimensions of food security: The case of maize in Tanzania. Food Security. 2016;8(4):707-726.

Bezabih M, Sarr M. Risk preferences and environmental uncertainty: Implications for crop diversification decisions in Ethiopia. Environmental and Resource Economics. 2012;53(4):483-505.

Cochrane N, D'Souza A. Measuring access to food in Tanzania: A food basket approach (No. 1476-2016-121041); 2015.

Suleiman RA, Kurt RA. Current maize production, postharvest losses and the risk of mycotoxins contamination in Tanzania. In 2015 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers; 2015.

URT. 2016/17 Annual Agriculture Sample Survey crop and Livestock Report; 2018. Available:www.nbs.go.tz>takwimu>Agricultre>2016-17_AASSReport_Final….pdf

[Accessed on January, 05, 2020]

Anandajayasekeram P, Rukani M, Babu S. Impact of science on African agriculture and food security. Wallingford: CABI; 2007.

Bernoulli D. Specimen Theoriae Novae de Mensura Sortis. Commentari Academiae Scientiarum Imperialis Petropolitanae. 1738;5:175-192.

Translated as: Expositions of a New Theory on the Measurement of Risk, Econometrica, Reprinted in: Page, A.N. (1968), editor, Utility Theory: A Book of Readings, pages 199-214. John Wiley & Sons: New York etc. 1954;22:23-36

Von Neumann J, Morgenstern O. Theory of games and economic behavior. Princeton University Press, Princeton, 2 edition; 1947.

Von Neumann J, Morgenstern O. Theory of games and economic behavior (commemorative edition): Princeton university press; 2007.

Briggs W. Uncertainty: The soul of modeling, probability & statistics. Springer; 2016.

Masvaya EN, Nyamangara J, Nyawasha RW, Zingore S, Delve RJ, Giller KE. Effect of farmer management strategies on spatial variability of soil fertility and crop nutrient uptake in contrasting agro-ecological zones in Zimbabwe. Nutrient Cycling in Agroecosystems. 2010;88(1): 111-120.

Herath CS, Wijekoon R. Study on attitudes and perceptions of organic and non-organic coconut growers towards organic coconut farming. Idesia. 2013;31(2):5-14.

Hamisi J. Study of rainfall trends and variability over Tanzania. A research project submitted in partial fulfillment of the requirements for the postgraduate Diploma in Meteorology, University of Nairobi. 2013;67.

Pima NA, Mbungu WB, Balama CP, Maguzu J, Siwa E, Sangiwa MJ. Spatial and temporal variability in hydro-meteorological selected variable in the Southern Highlands, Tanzania. Tanzania Journal of Forestry and Nature Conservation. 2021;90(3):10-23.

Andrade JF, Rattalino Edreira JI, Farrow A, van Loon MP, Craufurd PQ, Rurinda J, Zingore S, Chamberlin J, Claessens L, Adewopo J, van Ittersum MK, Cassman KG, Grassini P. A spatial framework for ex-ante impact assessment of agricultural technologies. Global Food Security, 2019;20:72–81.

Available:https://doi.org/10.1016/j.gfs.2018.12.006

Nord A, Bekunda M, McCormack C, Snapp S. Barriers to sustainable intensification: overlooked disconnects between agricultural extension and farmer practice in maize-legume cropping systems in Tanzania. International Journal of Agricultural Sustainability. 2021;1-19.

Kassile T, Lokina R, Mujinja P, Mmbando BP. Determinants of delay in care seeking among children under five with fever in Dodoma region, central Tanzania: A cross-sectional study. Malaria Journal. 2014; 13(1):348.

DOI: 10.1186/1475-2875-13-348

Ngailo JA, Mwakasendo JA, Kisandu DB, Tippe DE. Rice farming in the southern highlands of Tanzania: management practices, socio-economic roles and production constraints. European Journal of Research in Social Sciences. 2016;4(3).

Marenya PP, Barrett CB. State-conditional fertilizer yield response on western Kenyan farms. American Journal of Agricultural Economics. 2009;91(4):991-1006.

Suri T. Selection and comparative advantage in technology adoption. Econometrica. 2011;79(1):159-209.

Jama B, Kimani D, Harawa R, Mavuthu AK, Sileshi GW. Maize yield response, nitrogen use efficiency and financial returns to fertilizer on smallholder farms in southern Africa. Food Security. 2017;9(3):577-593.

Palmas S, Chamberlin J. Fertilizer profitability for smallholder maize farmers in Tanzania: A spatially-explicit ex ante analysis. PloS one. 2020;15(9):e0239149.

Nord A, Snapp S. Documentation of farmer perceptions and site‐specific properties to improve soil management on smallholder farms in Tanzania. Land Degradation & Development. 2020;31(15):2074- 2086.

Kihara J, Nziguheba G, Zingore S, Coulibaly A, Esilaba A, Kabambe V, Njoroge S, Palm C, Huising J. Understanding variability in crop response to fertilizer and amendments in sub-Saharan Africa. Agriculture, Ecosystems & Environment. 2016;229:1-12.

Xiaoling Li, Xianrong Wu. The impact of social norms on rice farmers’ behavior of organic fertilizers application: mediating effect of value perception and moderating effect of education level, International Journal of Low-Carbon Technologies. 2021;16(4):1492–1503. Available:https://doi.org/10.1093/ijlct/ctab074

Asenso-Okyere K, Mekonnen DA. The importance of ICTs in the provision of information for improving agricultural productivity and rural incomes in Africa. African Human Development Report. UNDP Sponsored Research Series; 2012. Available:http://120.52.51.14/www.undp.org/content/dam/rba/docs/Working%20Papers/ICT%20Productivity.pdf

[Accessed on 19 Aprill 2023]

Wang P, Zhang W, Li M, Han Y. Does fertilizer education program increase the technical efficiency of chemical fertilizer use? Evidence from wheat production in China. Sustainability, 2019;11(2):543.

Huang J, Xiang C, Jia X, Hu R. Impacts of training on farmers’ nitrogen use in maize production in Shandong, China. J. Soil Water Conserv. 2012;67:321–327.

Pan D, Zhang N. The role of agricultural training on fertilizer use knowledge: A randomized controlled experiment. Ecological economics .2018;148:77-91.

Chen Z, Huffman WE, Rozelle S. Farm technology and technical efficiency: Evidence from four regions in China. China economic review. 2009;20(2):153-161.

Olwande J, Sikei G, Mathenge M. Agricultural technology adoption: A panel analysis of smallholder farmers’ fertilizer use in Kenya. Berkeley University, escholarship.org; 2009.

[Accessed on 17 April 2023]

Rusinamhodzi L, Corbeels M, Van Wijk MT, Rufino MC, Nyamangara J, Giller KE. A meta-analysis of long-term effects of conservation agriculture on maize grain yield under rain-fed conditions. Agronomy for sustainable development. 2011; 31(4):657-673.

Duflo E, Kremer M, Robinson J. How high are rates of return to fertilizer? Evidence from field experiments in Kenya. The American economic review. 2008; 98(2):482-488.

Haji AK, Salehe FS, Msinde J. Adoption of rainfed paddy production technologies among smallholder farmers: A case of central District-Zanzibar, Tanzania; 2018.

[Accessed on June 2021] Available:suaire.sua.ac.tz

Msinde JV, Urassa JK, Nathan I. Farm and off-farm linkages: The effect of off-farm employment on farm inputs and labour allocation in Kilombero valley, Tanzania; 2020.

[Accesseded on February 2021] Available:suaire.sua.ac.tz

Mbululo Y, Nyihirani F. Climate characteristics over southern highlands Tanzania. Atmospheric and Climate Sciences. 2012;2(04):454.