Comparative Analysis of Technical Efficiency of Rice Farmers under Public and Private Land Administration in Dadinkowa Irrigation Scheme Area of Gombe and Borno States, Nigeria



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Submitted Jun 23, 2022
Published Jan 24, 2023
10.24018/ejfood.2023.5.1.523

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This study analyzed the technical efficiency of rice farmers in Dadinkowa Irrigation Scheme (DKIS) area of Gombe and Borno States, Nigeria. Multi-stage sampling technique was used to select 400 rice farmers under irrigation farming, who provided data by means of structured interview. Descriptive and inferential statistics were used to analyze data. Specifically, descriptive statistics was used to describe socio-economic characteristics of respondents, Stochastic frontier model was used to estimate the technical efficiency of rice farmers. The stochastic production function showed that the determinants of rice irrigation farming in the study area were: farm size (0.25), labor (0.36), education (-0.49), transportation (0.0011) and rental cost (0.0095)  were significant at 5, 1, 10, 1 and 5% level of probability respectively  for farmers in DKIS. In Integrated Savanna Vegetables and Fruits Canning Factory (VEGFRU), farm size (0.45) and transportation cost (0.003) were found to be significant at 1 and 10% level of probability respectively. In National Institute of Horticultural Research and Training (NIHORT) and College of Horticulture (NIHORT and CoH), household size (-0.025) and non-farm income (3.3) were both significant at 5% level of probability. Lastly, quantity of seed (0.16), quantity of fertilizer (0.38), education (-0.04), household size (-0.014) and transportation cost (0.0001), were found to be significant at 5, 1, 10, 5 and 1 % level of probability respectively in local land authority. The study also revealed that the mean technical efficiencies were 0.88, 0.94, 0.86 and 0.65 for DKIS, VEGFRU, NIHORT/CoH and local authority respectively. This means that farmers were technically efficient given the current level of technology. From the result, farmers under the land administration authorities of VEGFRU are more technically efficient than DKIS, followed by NIHORT /CoH), and lastly local authority. This may be explained by the important role played by DKIS office in terms of proximity and supports to rice farmers. The returns to scale were respectively 0.708, 0.421, 0.52 and 0.566 for DKIS, VEGFRU, NIHORT/CoH and Local authority. This showed that rice farmers operated at the rational stage of production (diminishing return). This implies that the technical efficiency of rice farmers under irrigation farming in the study area could be increased by 0.12, 0.6, 0.14 and 0.35 respectively through the use of available resources given the current level of technology and better extension services. And rice farmers can expand their production through additional use of inputs It was recommended that Government should accelerate the implementation of land consolidation in order to reduce the effect of land fragmentation and to improve the efficiency of rice farmers under irrigation farming, especially in DKIS and VEGFRU, whereby the farm size has significant effect on technical efficiency. In DKIS and Local authority, Government should strengthen formal education among the rice farmers, and facilitate the transportation system for moving farm output from farm to market at affordable cost in the study area.

Keywords: irrigation farming, return-to-scale, rice, Stochastic frontier model, technical efficiency.

References

  1. Norton GW, Alwang J, and Masters W. Economics of agricultural development. World food system and resource use. Taylor & Francis e-Library, 2010; 4: 474.
     Google Scholar
  2. Clover J. Food security in sub-Saharan Africa. African Security Review. 2003 Jan; 12(1):5–15. DOI:10.1080/10246029. 2003.9627566.
     Google Scholar
  3. Lambin EF, Geist HJ, and Lepers E. Dynamics of land- use and land-cover change in tropical regions. Annual Review of Environment and Resources.2003 Jan;20(28):49205–41.
     Google Scholar
  4. Mutoko MC, Ritho CN, Benhin J K, and Mbatia OL. Technical and allocative efficiency gains from integrated soil fertility management in the maize farming system of Kenya. Journal of Development and Agricultural Economics. 2015 Apr; Vol. 7(4):143–152.
     Google Scholar
  5. Kadiri FA, Eze CC, Orebiyi JS, Lemchi JI, Ohajianya DO, and Nwaiwu IU. Technical efficiency in paddy rice production in Niger Delta region of Nigeria. Global Journal of Agricultural Research. 2014; 2:(2); 33–43.
     Google Scholar
  6. Extracts from Price Waterhouse Coopers (PWC). Boosting rice production through increased mechanization, Nigeria, 2018.
     Google Scholar
  7. Federal Ministry of Agriculture and Rural Development (FMARD). Commercial feasibility study report for the establishment of rice processing mills in Nigeria. 2012. Accenture, Nigeria, p.79.
     Google Scholar
  8. Kolawole O. Determinants of profit efficiency among small rice farmers in Nigeria: a profit function approach. Paper prepared for presentation at the International Association of Agricultural Economists Conference, Gold Coast, pp. 12–18, Australia, August 2006.
     Google Scholar
  9. Ayedun B, and Adeniyi A. Efficiency in rice production in Nigeria. Acta Scientific Nutritional Health. 2019 July 7; 3: 9.
     Google Scholar
  10. Mu‟azu AH. A case study of the upper Benue basin. Retrieved from http://www.notap.gov.ng/sites/default/files/mod_ad_univ_of_tech_yola_and_national_abba_muazu.pdf.
     Google Scholar
  11. Annor-Frempong F, Shamaki BA, Sam-Amoah LK, and Mensah AO. Application of action research methodology in improving the processing quality of local rice in the Dadin-Kowa community of Gombe State Nigeria. Journal of Agricultural Extension, 2010; 14(2): 64–72.
     Google Scholar
  12. Hassan A, Matthew O, Abraham A, Matthew AF,and Ayeni D. An assessment of the irrigation scheme on registered rice farmers of the upper Benue rice basin development authority in Dadin Kowa, Gombe State, Nigeria. Journal of Multidisciplinary Studies. 2015; 4(1): 1–24.
     Google Scholar
  13. JohnsonM, Takeshima H, and Gyimah-Brempong K. Assessing the potential and policy alternatives for achieving rice competitiveness and growth in Nigeria. International Food Policy Research Institute (IFPRI) Discussion Paper Series 01301. 2013; Retrieved from http://ssrn.com/abstract=2373166.
     Google Scholar
  14. Akinbode SO, Dipeolu AO and Ayinde IA. An examination of technical, allocative, and economic efficiencies in Ofada rice farming in Ogun State, Nigeria. African Journal of Agricultural Research, 201126 November; 6(28): 6027–6035.
     Google Scholar
  15. Ojo OD, Connaughton M, Kintomo AA, Olajide-Taiwo LO, and Afolayan SO. Assessment of irrigation systems for dry season vegetable production in urban and peri-urban zones of Ibadan and Lagos, Southwestern Nigeria. African Journal of Academic Research, 2011; 6(2): 236–243. doi: 10.5897/AJAR09.641.
     Google Scholar
  16. Isma‟il M, Idoma K, Ibrahim ID, Muhammed ZD, Ahmed HT, Maiwada A, and Musa I.Economic impact of galma irrigation scheme on the farming community in Dakaci, Zaria area of Nigeria. Economy, 2014; 1(1), 8–14.
     Google Scholar
  17. Noel BB, Omar AH, Kawu IA, Parmaina ME, Kamaludeen AM, and Kubmuto TS. Farmers’ perception on the effect of rainfall variability on Rice Yield in Dadin-Kowa of Gombe State. International Journal of Archaeology. 2020; 8(2): 15–21.
     Google Scholar
  18. Hassan A, Matthew O, Abraham A, Matthew AF, and Ayeni D. An assessment of the irrigation scheme on registered rice farmers of the Upper Benue Rice Basin development authority in Dadin Kowa, Gombe State, Nigeria. Journal of Multidisciplinary Studies. 2015; 4(1): 1–24.
     Google Scholar
  19. Tijani A, Bakari UM. Determinants of allocative efficiency of rain-fed rice production in Taraba State, Nigeria. European Scientific Journal. 2013;10(33): 1857–7881.
     Google Scholar
  20. Barau AD, Atala TK, Agbor CI. Factors affecting efficiency of resource use under large-scale irrigation farming: a case study of the Dadin-Kowa irrigation project, Bauchi state, Nigeria. Nig. J. Rur. Econ. Soc. 1999;1(5): 1–6.
     Google Scholar
  21. Battese GE, Coelli TJ. A model for technical inefficiency effect in stochastic frontier production for panel data. Empirical Economics. 1995; 20: 325–345.
     Google Scholar
  22. National Population Commission. NPC. Nigeria’s Population Hits 198 Million People. 2018. [updated 2018 April 11; cited 2018 May 27]Available from: http://population.gov.ng/nigerias-population-hit-198m-people-npopc-chairman/
     Google Scholar
  23. Wikipedia.org.DadinKowaDam [Internet]. 2015 [updated 2015 September 5 cited 2018 June 1]. Available from "https://en.wikipedia.org/w/index.php?title=Dadin_Kowa_Dam&oldid=918452532"
     Google Scholar
  24. National Bureau of Statistics (NBS). Population census, federal Republic of Nigeria. Archived from the original Archived July 4, 2007, at the Wayback Machine on 25 March 2009.
     Google Scholar
  25. Yamane T. Statistics: an introductory analysis. New York: Harper and Row Yash. 1973.
     Google Scholar
  26. Okello DM, Bonabana-Wabbi J, and Basil M. Farm level allocative efficiency of rice production in Gulu and Amuru districts, Northern Uganda. Agricultural and Food Economics 2019; 7: 19.https://doi.org/10.1186/s40100-019-0140-x.
     Google Scholar
  27. Ayoola JB, Dangbegnon C, Daudu CK, Mando A, Kudi TM, Amapu IY, and Ezui KS. Socioeconomic factors influencing rice production among male and female farmers in Northern Guinea Savanna Nigeria: Lessons for promoting gender equity in action research. Agriculture and Biology Journal of North America, 2011;2(6): 1010–1014.
     Google Scholar
  28. Odoemenem IU, Inakwu JA. Economic Analysis of rice Production in Cross River State, Nigeria. Journal of Development and Agriculture Economics. 2011;6(8): 001-006.
     Google Scholar
  29. Haruna V, Sanni SA, Yusuf D and Balogun OS. Input-output relationship and resource use efficiency in cassava production in Jama. of Kaduna Stat. Proceedings of the 10th Annual Conference of Nigeria Association of Agricultural Economics, 2009; 7th-10thOctober held at university of Abuja.
     Google Scholar
  30. Ofuoku AU, Edoge DE, and Ovwigho BO. Child labor in agricultural production and socioeconomic variables among arable farming households in Nigeria. Journal of Rural Social Sciences. 2014; 29(2): 67–81.
     Google Scholar
  31. Adesina CA, Kehinde AL, Arojojoye AO. Economics of wholesale marketing of tomato fruits in Ibadan Metropolis of Oyo State, Nigeria. Journal of Agriculture Forestry and Social Sciences. 2008.
     Google Scholar
  32. Umar IM. Economic efficiency of resource use in irrigated cowpea production at Jibia irrigation project, Katsina State. MS dissertation, Department of Agricultural Economic and Extension, Faculty of Agriculture, Bayero University.2012.
     Google Scholar
  33. Onumadu FN and Osanhon EE. Socioeconomic determinants of adoption of improved rice technology by farmers in Ayamelum Local Government of Anambra State, Nigeria. International Journal of Scientific and Technology Research. 2014; 3:308–314.
     Google Scholar
  34. Adekunle OA, Oladipo PO, Busari IZ. “Factors affecting farmers participation in irrigation schemes of Lower Niger River Basin and Rural Development Authority, Kwara State, Nigeria. S.Afr. Tydskr. Landbouvoorl./S.Afr.J.Agri. Ext.2015; 43(2): 42–51.
     Google Scholar
  35. Ganiyu L, Akinola, MO, Babasanya B, Abubakareen SB, and Olumuyiwa S. Factors affecting adoption of forest conservation practices by farmers in Kalama local government area, Kwara State: The Case Kainji Lake National Park. Proceeding of the 19th conference of the Nigerian Association of Agriculture Economists (NAAE). pp 90–96. 2018.
     Google Scholar
  36. Rajindra S, Jumiyati and Irmawati. Increasing production and income of rice farming: keywords of food security and poverty alleviation. CROEST. IOP Publishing. IOP Conf. Series: Earth and Environmental Science. 870 (2021): 012021.
     Google Scholar
  37. Adelekan YA, Omotayo AO. Linkage Between Rural Non-Farm Income and Agricultural Productivity in Nigeria: A Tobit-Two-Stage Least Square Regression Approach. Journal of Developing Area. 2017; 51(3): 317–333.
     Google Scholar
  38. Ugalahi UB, Adeoye SO, Ocheni, BA. Socioeconomic analysis of beneficiary and non-beneficiary smallholder farmers of bank of agriculture loan scheme in Ogun State, Nigeria. AgEcon. Research in Agriculture and Applied Economics. 2017; Vol.7: 901-906 DOI: 10.22004/ag.econ.288499.
     Google Scholar
  39. Olarinre. Effects of land fragmentation on productivity of rice farmers on Osun state, Nigeria. Applied Tropical Agriculture. 2018; 23(1): 105–111.
     Google Scholar
  40. Dale P, Mahoney R, McLaren R. Land markets, and the modern economy. London Royal Institution of Chartered Surveyors, 2002.
     Google Scholar
  41. Laniyan AWO, Ologbon OAC, Idowu AO. Analysis of Efficiency Among Rice Farmers in Oyo State, Nigeria. P-ISSN 2536-6904 African Journal of Science & Nature, 2018;6: 54–65.
     Google Scholar
  42. Ezihe JAC, Ajoma C. and Odeomenem IU. Analysis of technical efficiency among small scale rice farmers in Cross River State, Nigeria. Journal of Agriculture Economics, Extension &Science.2016. Vol. 1(2): 120-133.
     Google Scholar
  43. Ajibefun IA. Analysis of policy issues in technical efficiency of small-scale farming using the stochastic frontier production function: with application to Nigeria farmers. Paper Presented at the International Farm Management Association Congress, Wagningen, Netherland. July 2002.
     Google Scholar
  44. Ogundari K, and Ojo S.O. Economic efficiency of small-scale food crop production in Nigeria: a stochastic frontier approach. J. Soc. Sci.2007;14(2): 123–130.
     Google Scholar
  45. Umeh JC, Ataborh EM. Efficiency of rice farmers in Nigeria: Potentials for food security and poverty alleviation. IFMA 16-Theme 3. Farm Management. 2006.
     Google Scholar
  46. Onyenweaku CE and Ohajianya DO. Technical Efficiency of Rice Farmers in Ebonyi State, Nigeria. Journal of Agriculture and Food Sciences. Oct 2005; 3(2):175–184.
     Google Scholar
  47. Ambali OI, Adegbite DA, Ayinde IA. and Awotide DO. Analysis of production efficiency of food crop farmers in Ogun state, Nigeria. ARPN Journal of Agricultural and Biological Science.2012; Vol. 7: 680–688.
     Google Scholar
  48. Aboaba, KO. “Economic efficiency of rice farming: a stochastic frontier analysis approach. J. Agribus. Rural Dev. 2020; 4(58): 423–435.
     Google Scholar
  49. Steuart J. The principles of money applied to the present state of the coin of Bengal.
     Google Scholar
  50. Schumpeter JA. History of Economic Analysis. 1981London, Boston, Sidney: George Allen & Unwin.
     Google Scholar