Abstract
In this paper, we estimate the technical efficiency levels among upland rice farmers in northern Uganda. A cross-sectional survey was conducted, and data were collected from a randomly selected sample of 248 farmers. By applying a Cobb–Douglas stochastic production frontier model, the study aims to gain insights into the efficiency of rice production and identify factors that contribute to it. The findings indicate that there is a scope for improvement in the technical efficiency of upland rice farmers in the region. The study identifies key factors that significantly impact rice output; land, labour, and the quantity of seeds used. Moreover, certain farmer characteristics such as membership in a farmer group, level of education, the type of rice buyer, and household size were found to reduce technical inefficiency among rice producers. These results underscore the importance of understanding individual farmer constraints and addressing barriers related to smallholder organizations and institutions to enhance upland rice productivity. The findings also highlight the need for farmer training programs that specifically target the efficient use of inputs in rice production. By providing farmers with the necessary knowledge and skills, such programs can contribute to improving overall efficiency in upland rice farming and environmental sustainability.
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References
Abass A, Amaza P, Bachwenkizi B, Wanda K, Agona A, Cromme N (2017) The impact of mechanized processing of cassava on farmers’ production efficiency in Uganda. Appl Econ Lett 24(2):102–106. https://doi.org/10.1080/13504851.2016.1167817
Abate TM, Dessie AB, Mekie TM (2019) Technical efficiency of smallholder farmers in red pepper production in North Gondar zone Amhara regional state, Ethiopia. J Econ Struct 8(1):1–18
Abdulai S, Nkegbe PK, Donkoh SA (2018) Assessing the technical efficiency of maize production in northern Ghana: the data envelopment analysis approach. Cogent Food Agric 4(1):1512390
Abebaw D, Haile MG (2013) The impact of cooperatives on agricultural technology adoption: empirical evidence from Ethiopia. Food Policy 38:82–91
Adedeji I, Ajetemboi J, Olapade-Ogunwole F (2011) Technical efficiency of cocoa production in Oyo State, Nigeria. Cont J Agric Econ 64(1):80
Agboh-Noameshie A, Kabore A, Michael M (2013) Integrating gender considerations in rice research for development in Africa. Realiz Afr Rice Promise 28:343–354. https://doi.org/10.1079/9781845938123.0343
Ahmad M, Bravo-Ureta BE (1996) Technical Efficiency Measures for dairy farms using panel data : a comparison of alternative model specifications. J Product Anal 7(4):399–415
Ahmed MH, Melesse KA (2018) Impact of off-farm activities on technical efficiency: evidence from maize producers of eastern Ethiopia. Agric Food Econ 6(1):1–15
Aigner D, Lovell CK, Schmidt P (1977) Formulation and estimation of stochastic frontier production function models. J Econom 6(1):21–37
Akongo GO, Gombya-Ssembajjwe W, Buyinza M, Namaalwa JJ (2017) Characterisation of rice production systems in northern Agro-Ecological Zone, Uganda. J Agric Sci 10(1):272. https://doi.org/10.5539/jas.v10n1p272
Amos TT (2007) An analysis of productivity and technical efficiency of smallholder cocoa farmers in Nigeria. J Soc Sci 15(2):127–133
Asante D (2013) Farmer and consumer preferences for rice in the Ashanti region of Ghana: implications for rice breeding in West Africa. J Plant Breed Crop Sci 5(12):229–238. https://doi.org/10.5897/jpbcs13.0409
Battese GE, Coelli TJ (1988) Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. J Econom 38:387–399
Battese GE, Coelli TJ (1995) A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Econ 20:325–332
Belotti F, Daidone S, Ilardi G, Atella V (2013) Stochastic frontier analysis using Stata. Stand Genomic Sci 13(4):719–758
Bojnec Š, Ferto I (2013) Farm income sources, farm size and farm technical efficiency in Slovenia. Post Communist Econ 25(3):343–356. https://doi.org/10.1080/14631377.2013.813140
Bojnec Š, Knific K (2021) Farm household income diversification as a survival strategy. Sustainability 13(11):6341
Bojnec Š, Fertő I, Jámbor A, Tóth J (2014) Determinants of technical efficiency in agriculture in new EU member states from Central and Eastern Europe. Acta Oecon 64(2):197–217
Bonabana-Wabbi J, Mugonola B, Ajibo S, Kirinya J, Kato E, Kalibwani R, Kasenge V, Nyamwaro S, Tumwesigye S, Chiuri W, Mugabo J, Fungo B, Tenywa M (2011) Agricultural profitability and technical efficiency: the case of pineapple and potato in SW Uganda. Afr J Agric Resour Econ 1(3):1–22
Carroll R (ed) (2009) Adaptation in contemporary culture: textual infidelities. A&C Black
Chowdhury NT (2016) The relative efficiency of hired and family labour in Bangladesh agriculture. J Int Dev 28(7):1075–1091
Coelli T, Walding S (2006) Performance measurement in the Australian water supply industry: a preliminary analysis. Performance measurement and regulation of network utilities, pp 29–61
Collins A, Harris R (2005) The impact of foreign ownership and efficiency on pollution abatement expenditures by chemical plants: some UK evidence. Scott J Politiacal Econ 52:757–768
Dalipagic I, Elepu G (2014) Agricultural value chain analysis in northern Uganda: action against Hunger|ACF-International. http://www.mendeley.com/research/agricultural-value-chain-analysis-northern-uganda-maize-rice-groundnut-siunflower-sesame/
Dupraz P, Latruffe L (2015) Trends in family labour hired labour and contract work on French field crop farms: the role of the Common Agricultural Policy. Food Policy 51:104–118. https://doi.org/10.1016/j.foodpol.2015.01.003
Emvalomatis G, Oude Lansink A, Stefanou S (2008) An examination of the relationship between subsidies on production and technical efficiency in agriculture: the case of cotton producers in Greece. In: 107th EAAE seminar modelling of agricultural and rural development policies, Seville, Spain, Jan 29–Feb 1
Erkoc T (2012) Estimation methodology of economic efficiency: stochastic frontier analysis vs data envelopment analysis. Int J Acad Res Econ Manag Sci 1(1):1–23
FAO (2014) Climate-smart agriculture sourcebook. Food and Agriculture Organization (FAO)
FAO (2018) The state of food security and nutrition in the world 2018. http://www.fao.org/3/1955EN/i9553en.pdf
FAOSTAT (2019) Annual potato production, food and seed supply. Retrieved November 30, 2019, from http://www.fao.org/faostat/en/#data/GT
Farrell MJ (1957) The measurement of productive efficiency. J Royal Stat Soc Ser A: Stat Soc 120(3):253–281
Gadal N, Shrestha J, Poudel MN, Pokharel B (2019) A review of production status and growing environments of rice in Nepal and in the world. Arch Agric Environ Sci 4(1):83–87. https://doi.org/10.26832/24566632.2019.0401013
González-Flores M, Bravo-Ureta BE, Solís D, Winters P (2014) The impact of high value markets on smallholder productivity in the Ecuadorean Sierra: a stochastic production frontier approach correcting for selectivity bias. Food Policy 44:237–247
Greene W (2010) A stochastic frontier model with correction for sample selection. J Prod Anal 34:15–24
Guo G, Wen Q, Zhu J (2015) The impact of aging agricultural labor population on farmland output: from the perspective of farmer preferences. Math Probl Eng 2015:7. https://doi.org/10.1155/2015/730618
Hadley D (2006) Efficiency and productivity at the farm level in England and Wales 1982 to 2002. Report for the Department for Environment, Food and Rural Affairs (DEFRA), London, March
Hoken H, Su Q (2018) Measuring the effect of agricultural cooperatives on household income: case study of a rice-producing cooperative in China. Agribus Int J 34(4):831–846
JICA (2012) Project for rural road network planning in northern Uganda final report, vol 2: main report 3, 56
Kankwatsa P, Muzira R, Mutenyo H, Lamo J (2019) Improved upland rice: adaptability, agronomic and farmer acceptability assessment under semi-arid conditions of south western Uganda. Oalib 06(12):1–5. https://doi.org/10.4236/oalib.1105660
Kaparakis E, Miller S, Noulas A (1994) Short run cost inefficiency of commercial banks: a flexible stochastic frontier approach. J Money Credit Bank 26:21–28
Kikuchi M, Haneishi Y, Maruyama A, Tokida K, Asea G, Tsuboi T (2016) The competitiveness of domestic rice production in East Africa: a domestic resource cost approach in Uganda. J Agric Rural Dev Trop Subtrop 117(1):57–72
Kloss M, Petrick M (2014) The productivity of family and hired labour in EU arable farming. German Association of Agricultural Economists (GEWISOLA): 54th annual conference, Goettingen, Germany, September 17–19, 2014. http://ageconsearch.umn.edu//handle/187353
Kumar A, Saroj S, Joshi PK, Takeshima H (2018) Does cooperative membership improve household welfare? Evidence from a panel data analysis of smallholder dairy farmers in Bihar, India. Food Policy 75:24–36
Linquist BA, Liu L, van Kessel C, van Groenigen KJ (2013) Enhanced efficiency nitrogen fertilizers for rice systems: Meta-analysis of yield and nitrogen uptake. Field Crop Res 154:246–254
Ma W, Renwick A, Yuan P, Ratna N (2018) Agricultural cooperative membership and technical efficiency of apple farmers in China: an analysis accounting for selectivity bias. Food Policy 81:122–132
Maraseni TN, Deo RC, Qu J, Gentle P, Neupane PR (2018) An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production. J Clean Prod 172:2288–2300. https://doi.org/10.1016/j.jclepro.2017.11.182
Maruyama A, Haneishi Y, Okello SE, Asea G, Tsuboi T, Takagaki M, Kikuchi M (2014) Rice green revolution and climatic change in East Africa: an approach from the technical efficiency of rainfed rice farmers in Uganda. Agric Sci 05(04):330–341. https://doi.org/10.4236/as.2014.54035
Mburu S, Ackello-ogutu C, Mulwa R (2014) Analysis of economic efficiency and farm size: a case study of wheat farmers in Nakuru District, Kenya. Econ Res Int 313–322
McLeod A, Ajmone Marsan P, Dunham R, Fitzpatrick J, Morton J, Udén P, von Sury F (2016) Evaluation of the CGIAR research program on livestock and fish
Michalek J, Ciaian P, Pokrivcak J (2018) The impact of producer organizations on farm performance: the case study of large farms from Slovakia☆. Food Policy 75:80–92
Miriti P, Otieno DJ, Chimoita E, Bikketi E, Njuguna E, Ojiewo CO (2021) Technical efficiency and technology gaps of sorghum plots in Uganda: a gendered stochastic metafrontier analysis. Heliyon 7(1):e05845. https://doi.org/10.1016/j.heliyon.2020.e05845
Miyamoto K, Maruyama A, Haneishi Y, Matsumoto S, Tsuboi T, Asea G, Okello S, Takagaki M, Kikuchi M (2012) NERICA cultivation and its yield determinants: the case of upland rice farmers in Namulonge, Central Uganda. J Agric Sci. https://doi.org/10.5539/jas.v4n6p120
Mugonola B, Vranken L, Maertens M, Deckers J, Taylor DB, Bonabana-Wabbi J, Mathijs E (2013) Soil and water conservation technologies and technical efficiency in banana production in upper Rwizi micro-catchment, Uganda. Afr J Agric Resour Econ 8(1):13–28
Munroe D (2001) Economic efficiency in Polish peasant farming: an international perspective. Reg Stud 35:461–471
Musebe R, Adur S, Phiri N, Miiro M, Mogga M, Asea G, Otim M, Kimenye L (2013) Upscaling new rice for Africa adoption in northern Uganda and south Sudan: socio-economic and technical prerequisites. In: 11th African crop science proceedings, sowing innovations for sustainable food and nutrition security in Africa. Entebbe, Uganda, 14–17 October 2013, pp 577–583
Muthayya S, Sugimoto JD, Montgomery S, Maberly GF (2014) An overview of global rice production, supply, trade, and consumption. Ann N Y Acad Sci 1324(1):7–14. https://doi.org/10.1111/nyas.12540
Nakanwagi TT, Hyuha TS (2015) Technical efficiency of milk producers in cattle corridor of Uganda: Kiboga District Case. Mod Econ 06(07):846–856. https://doi.org/10.4236/me.2015.67079
Ntwiga D (2021) Determinants of technical efficiency in agricultural production among Sub Saharan African countries determinants of technical efficiency in agricultural production among Sub Saharan African Countries. J Agric Environ Sci (January) 6(1)
Nyagaka DO, Obare GA, Omiti JM, Nguyo W (2010) Technical efficiency in resource use: evidence from smallholder Irish potato farmers in Nyandarua North District, Kenya. Afr J Agric Res 5(11):1179–1186. https://doi.org/10.5897/AJAR09.296
Obwona M (2006) Determinants of technical efficiency differentials amongst small- and medium-scale farmers in Uganda: a case of tobacco growers. African Economic Research Consortium (January), AERC Research Paper 152, pp 1–27
Ojehomon V, Ayinde O, Adewumi M, Omotesho O (2013) Determinant of technical efficiency of new rice for Africa (NERICA) production: a gender approach. Ethiop J Environ Stud Manag. https://doi.org/10.4314/ejesm.v6i5.2
Okello DM, Bonabana-Wabbi J, Mugonola B (2019) Farm level allocative efficiency of rice production in Gulu and Amuru districts, Northern Uganda. Agric Food Econ 7(1):1–19. https://doi.org/10.1186/s40100-019-0140-x
Okoth T, Opata P, Ibe J, Onyenekwe D, Ikubaiyeje K, Ettum P (2021) Determinants of technical efficiency among lowland rice farmers in Enugu State, Nigeria; a stochastic frontier production approach. J Agric Food Sci 19(2):63–74
Omondi SO, Shikuku KM (2013) An analysis of technical efficiency of rice farmers in Ahero Irrigation Scheme, Kenya. J Econ Sustain Develop 4(10):9–16
Oonyu J (2011) Upland rice growing: a potential solution to declining crop yields and the degradation of the doho wetlands, butaleja district-Uganda. Afr J Agric Res 6(12):2774–2783. https://doi.org/10.5897/AJAR10.806
Pavelescu F-M (2011) Some aspects of the translog production function estimation. Rom J Econ 32(1):131–150
Ragasa C, Chapoto A (2017) Limits to green revolution in rice in Africa: the case of Ghana. Land Use Policy 66(September):304–321. https://doi.org/10.1016/j.landusepol.2017.04.052
Rao EJO, Omondi I, Karimov AA, Baltenweck I (2016) Dairy farm households, processor linkages and household income: the case of dairy hub linkages in east Africa. Int Food Agribus Manag Rev 19(4):95–108. https://doi.org/10.22434/IFAMR2014.0177
Rasyid MN, Setiawan B, Mustadjab MM, Hanani N (2016) Factors that influence rice production and technical efficiency in the context of an integrated crop management field school program. Am J Appl Sci 13(11):1201–1204. https://doi.org/10.3844/ajassp.2016.1201.1204
Seck PA, Tollens E, Wopereis MCS, Diagne A, Bamba I (2010) Rising trends and variability of rice prices: threats and opportunities for sub-Saharan Africa. Food Policy 35(5):403–411. https://doi.org/10.1016/j.foodpol.2010.05.003
Tanaka A, Johnson JM, Senthilkumar K, Akakpo C, Segda Z, Yameogo LP, Bassoro I, Lamare DM, Allarangaye MD, Gbakatchetche H, Bayuh BA, Jaiteh F, Bam RK, Dogbe W, Sékou K, Rabeson R, Rakotoarisoa NM, Kamissoko N, Mossi IM, Bakare OS, Mabone FL, Gasore ER, Baggie I, Kajiru GJ, Mghase J, Ablede KA, Nanfumba D, Saito K (2017) On-farm rice yield and its association with biophysical factors in sub-Saharan Africa. Eur J Agron 85:1–11. https://doi.org/10.1016/j.eja.2016.12.010
UNRDS (2009) Government of Uganda, Uganda National Rice Development Strategy (UNRDS) 2nd Draft.
World Bank Group (2021) User manual climate change knowledge portal, 18
Acknowledgements
We want to thank RUFORUM for the financial support offered and all the rice farmers who worked with us.
Funding
This study was funded by the Regional Universities Forum for Capacity Building in Agriculture (RUFORUM) through the Community Action Research Programme Plus (CARP+) project titled 'Enhancing agribusiness rice clusters and market linkages and incomes in northern Uganda (EARMINU),' project ID: RU/MCF/CARP+/2017/02.
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Muteti, F.N., Akite, I., Mpofu, T.P. et al. Determinants of technical efficiency among smallholder upland rice farmers in northern Uganda—a Cobb–Douglas stochastic frontier approach. SN Bus Econ 4, 4 (2024). https://doi.org/10.1007/s43546-023-00597-z
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DOI: https://doi.org/10.1007/s43546-023-00597-z