Estimating financing gaps in rice production in Southwestern Nigeria
Tóm tắt
This study analysed the financing gaps relative to production frontier of rice farmers in Southwestern Nigeria. A multistage sampling technique was used to collect cross-sectional data from 360 rice farmers selected from three states in the region. A Cobb–Douglas stochastic frontier and an adapted form of Harrod–Domar (HD) growth model was employed to determine the financing gap required the farmers to be at the frontier level. The empirical results of the frontier model show that quantity of labour, quantity of rice as planting material and herbicides were statistically significant in explaining the variations in the efficiency of rice production in Nigeria. However, age, gender, farming experience, household size, access to credit, access to information, adoption of improved variety and location of rice farmers as sources of technical inefficiencies. As revealed by the result of the HD growth model, the average amount of credit per season that farmers had access to was, 38,630.56 naira (₦) while the mean financing in the form of credit required to produce at the frontier level was ₦193,626.50, showing a financing shortfall of about 80%. As unravelled by the result of the study, it can thus be concluded that technical efficiency of rice farmers can be improved by ameliorating access to timely credit and agricultural information for improving rice productivity. These findings suggest that filling the financing gap of smallholder rice farmers will improve rice productivity in Nigeria. The study, therefore, recommends that strengthening the existing technology by building farmers’ capacity on farm management practices would be the surest means of improving rice productivity growth in Nigeria. This would not only contribute to the intensification of rice production in Nigeria to meet its increasing rice demand, but also improve rice farmers’ productivity and their households’ incomes.
Tài liệu tham khảo
Abdulai AN, Abdulai A (2016) Allocative and scale efficiency among maize farmers in Zambia: a zero efficiency stochastic frontier approach. Appl Econ 48(55):5364–5378. https://doi.org/10.1080/00036846.2016.1176120
Abdul-Rahaman A (2016) Stochastic frontier analysis (SFA) of technical efficiency, insights from smallholder cotton farmers in the Northern Region of Ghana. Glob J Agric Econ Ext Rural Dev 4(1):361–367
Agboola SA (1979) An agricultural atlas of Nigeria. An agricultural atlas of Nigeria. Oxford University Press, Oxford
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):3–13
Aigner D, Lovell CK, Schmidt P (1977) Formulation and estimation of stochastic frontier production function models. J Econometr 6(1):21–37
Akinbode SO (2013) Access to credit: implication for sustainable rice production in Nigeria. J Sustain Dev Africa 15(1):13–30
Alfred S, Xiao W (2013) Financing Family Business in Ghana, Challenges and the way forward. Int J Adv Res Manage Soc Sci 2(2):177–204
Alwarritzi W, Nanseki T, Chomei Y (2015) Analysis of the factors influencing the technical efficiency among oil palm smallholder farmers in Indonesia. Procedia Environ Sci 28:630–638
Awotide BA, Karimov A, Diagne A, Nakelse T (2013) The impact of seed vouchers on poverty reduction among smallholder rice farmers in Nigeria. Agric Econ 44(6):647–658
Ayanwale AB, Fatunbi AO, Ojo MP (2018) Baseline Analysis of Plantain (Musa sp.) Value Chain in Southwest of Nigeria, vol 3, No. 1. FARA Research Report, p 84
Ayyagari M, Demirgüç-Kunt A, Maksimovic V (2012) Financing of Firms in developing countries: lessons from research. Policy research working paper 6036, World Bank, Washington DC
Battese GE, Coelli TJ (1995) A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empir Econ 20(2):325–332
Bermejo Carbonell J, Werner RA (2018) Does foreign direct investment generate economic growth? A new empirical approach applied to Spain. Econ Geogr 94(4):425–456
Bhatt MS, Bhat SA (2014) Technical efficiency and farm size productivity—micro level evidence from Jammu & Kashmir. Int J Food Agric Econ (IJFAEC), 2(1128-2016-92057), p 27
Bifarin JO, Alimi T, Baruwa OI, Ajewole OC (2010) Determinant of technical, allocative and economic efficiencies in the plantain (Musa spp.) production industry, Ondo State, Nigeria. In: Proceeding of international conference on banana & plantain in Africa, Edited by Dubois T, et al. Acta Hort 879:199–210
Binam JN, Tonye J, Nyambi G, Akoa M (2004) Factors affecting the technical efficiency among smallholder farmers in the slash and burn agriculture zone of Cameroon. Food Policy 29(5):531–545
Bozoğlu M, Ceyhan V (2007) Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey. Agric Syst 94(3):649–656
Caudill SB, Ford JM (1993) Biases in frontier estimation due to heteroscedasticity. Econ Lett 41(1):17–20
Coelli Tim J (1995) Recent development in frontier modelling and efficiency measurement. Aust J Agric Econ 39(3):219–245
Coelli TJ, Rao DSP, O'Donnell CJ, Battese GE (2005) An introduction to efficiency and productivity analysis. Springer Science & Business Media
Chandio AA, Jiang Y, Gessesse AT, Dunya R (2017) The nexus of agricultural credit, farm size and technical efficiency in Sindh, Pakistan: a stochastic production frontier approach. J Saudi Soc Agric Sci. https://doi.org/10.1016/j.jssas.2017.11.001
Chenery HB, Strout AM (1966) Foreign assistance and economic development. Am Econ Rev 56(4):679–733
Cochran WG (1977) Sampling techniques, 3rd edn. John Wiley & Sons, New York
Danso-Abbeam G, Baiyegunhi LJ (2017) Adoption of agrochemical management practices among smallholder cocoa farmers in Ghana. Afr J Sci Technol Innov Dev 9(6):717–728
Dessale M, Beshir D, Tegegne D (2017) Technical efficiency in teff production: the case of smallholder farmers in Jamma District, South Wollo Zone, Ethiopia (Doctoral dissertation, Haramaya University)
Donkor E, Matthews N, Ogundeji AA (2018) Efficiency of rice farming in Ghana: policy implications for rice sector development. Afr Dev Rev 30(2):149–161
Easterly W (1999) The ghost of financing gap: testing the growth model used in the international financial institutions. J Dev Econ 60(2):423–438
FAO (2015) Regional overview of food insecurity in Africa African food security: prospects brighter than ever. Food and Agriculture Organization. http://www.fao.org/3/a-i4635e.pdf. Accessed 4 Feb 2016
Fakayode SB, Rahji MAY, Oni OA, Adeyemi MO (2009) An assessment of food security situations of farm households in Nigeria: a USDA approach. Soc Sci 4(1):24–29
Gautam Y, Andersen P (2016) Rural livelihood diversification and household well-being: insights from Humla, Nepal. J Rural Stud 44:239–249
Geda A, Shimeles A, Weeks J (2009) Growth, poverty and inequality in Ethiopia: which way for pro-poor growth? J Int Dev J Dev Stud Assoc 21(7):947–970
Goni M, Mohammed S, Baba BA (2007) Analysis of resource-use efficiency in rice production in the Lake Chad area of Borno State, Nigeria. J Sustain Dev Agric Environ 3(2):31–37
Guirkinger C, Boucher SR (2008) Credit constraints and productivity in Peruvian agriculture. Agric Econ 39(3):295–308
Hazell PB, Poulton C, Wiggins S, Dorward A (2007) The future of small farms for poverty reduction and growth, vol 42. International Food Policy Research Institute, Washington
Hitayezu P, Okello JJ, Gor CO (2010) Drivers of household participation in the rural non-farm labor markets in the post-war Rwanda (No. 320-2016-10088)
Hussain MA (2000) Convergence of per capita output levels across regions of Bangladesh, 1982–97 (No. 0-121). International Monetary Fund
Huy HT, Nguyen TT (2019) Cropland rental market and farm technical efficiency in rural Vietnam. Land Use Policy 81:408–423
Kenmore P (2003) Sustainable rice production, food security and enhanced livelihoods. Rice Science, Innovations and Impact for Livelihoods. International Rice Research Institute, Los Banos, pp 27–34
Khanal U, Wilson C, Shankar S, Hoang VN, Lee B (2018) Farm performance analysis: technical efficiencies and technology gaps of Nepalese farmers in different agro-ecological regions. Land Use Policy 76:645–653
Kinkingninhoun-Meˆdagbe FM, Diagne A, Simtowe F, Agboh-Noameshie AR, Adegbola PY (2010) Gender discrimination and its impact on income, productivity, and technical efficiency: evidence from Benin. Agric Hum Values 27:57–69
Kumbhakar S, Lovell CAK (2000) Stochastic frontier analysis. Cambridge University Press, Cambridge
Lu HP, Luo T, Fu HW, Wang L, Tan YY, Huang JZ et al (2018) Resistance of rice to insect pests mediated by suppression of serotonin biosynthesis. Nat Plants 4(6):338
Mensah A, Brummer B (2016) Drivers of technical efficiency and technology gaps in Ghana’s mango production sector: a stochastic metafrontier approach Amos. Afr J Agric Resour Econ 11(311-2016-5651), 101
Mohanty S, Wassmann R, Nelson A, Moya P, Jagadish SVK (2013) Rice and climate change: significance for food security and vulnerability. International Rice Research Institute, Los Baños, p 14
Obih U, Baiyegunhi LJ (2017) Implicit price estimation of quality attributes influencing rice prices and choice decisions of consumers in Nigeria. J Agribus Rural Dev 3(45):639–653
Obih U, Baiyegunhi L (2018) Consumers’ acceptability of local rice brands in Nigeria. Which marketing functions really matter? J Agribus Rural Dev 2(48):183–196
Ogundari K (2008) Resource-productivity, allocative efficiency and determinants of technical efficiency of rainfed rice farmers: a guide for food security policy in Nigeria. Agric Econ Czech 54(5):224–233
Ogundele OO, Okoruwa VO (2006) Technical efficiency differentials in rice production technologies in Nigeria. AERC Research Paper 154. African Economic Research Consortium, Nairobi
Ojo TO, Baiyegunhi LJS, Salami AO (2019) Impact of credit demand on the productivity of rice farmers in South West Nigeria. J Econ Behav Stud 11(1):166–180
Olomola A, Gyimah-Brempong K (2014) Loan Demand and Rationing among Small-Scale Farmers in Nigeria. Discussion Paper Series 01403. Washington, DC: International Food Policy Research Institute (IFPRI)
Otitoju MA, Enete AA (2014) Climate change adaptation strategies and farm-level efficiency in food crop production in Southwestern. Nigeria. Tropicultura 32(3):113–120
Peer S, Oya PA, Martin H (2013) Closing the credit gap for formal and informal micro, small, and medium enterprises. International Finance Corporation, World Bank Group, Washington DC
Quaye I, Abrokwah E, Sarbah A, Osei JY (2014) Bridging the SME financing gap in Ghana: the role of microfinance institutions. Open J Bus Manag 2(04):339
Tang VT, Shaw TM, Holden MG (eds) (2018) Development and sustainable growth of mauritius. Springer, Berlin
Tesfahunegn GB, Mekonen K, Tekle A (2016) Farmers’ perception on causes, indicators and determinants of climate change in northern Ethiopia: implication for developing adaptation strategies. Appl Geogr 73:1–12
Uddin M, Bokelmann W, Entsminger J (2014) Factors affecting farmers’ adaptation strategies to environmental degradation and climate change effects: a farm level study in Bangladesh. Climate 2(4):223–241
USDA (United States Department of Agriculture) (2016) Production, supply and distribution. Washington, DC: United States Department of Agriculture. http://apps.fas.usda.gov/psdonline/psdquery.aspx
van der Merwe J, Dodd N (2019) Different schools, same problems: development theory in the twentieth century. In the political economy of underdevelopment in the global South. Palgrave Macmillan, Cham, pp 17–33
Villano R, Fleming E (2006) Technical inefficiency and production risk in rice farming: evidence from central Luzon Philippines. Asian Econ J 20:29–46