IDEAS home Printed from https://ideas.repec.org/a/rfa/bmsjnl/v4y2018i4p71-81.html
   My bibliography  Save this article

Profitability of Improved Seed Adoption on Small Holders Maize Farmers in Abuja Nigeria

Author

Listed:
  • Ndem Chijioke, Uteh Akaninyene

Abstract

The study analysed the profitability of improved seed adoption on the profitability and technical efficiency of smallholder maize farmers in Abuja, Nigeria. Descriptive statistics were used to describe the socioeconomic characteristics, gross margin analysis was used to determine the costs and returns of maize production. The t-test was used to compare the yield of improved maize seed adopters and non-adopters. The logit regression was used to analyse the determinants of adoption. The stochastic production frontier model was used to determine the technical efficiency of IMV. The results revealed that the average age of respondents (adopters and non-adopters) was 48 years and 39 years, respectively. Furthermore, 56% and 66% were male, 75% and 93% were married with average household size of 6 and 7 persons, respectively, and majority had formal education. Adopters had a mean farm size of 1.95 ha, while non-adopters had a mean farm size of 1.76 ha. The gross margin analysis result showed the profitability index for IMV and local seed were 0.66 and 0.41, respectively. The t-test result showed that IMV had higher yield per hectare (2,713.66kg/ha) compared to local maize variety (1,281.33kg/ha). The result of maximum likelihood estimate showed that the mean technical efficiency was 0.56 and 0.49 for adopters and non-adopters, respectively. The study revealed that adopters of improved maize seed varieties earned higher profits and were more technically efficient than non-adopters. It recommended the strengthening of extension services to enhance adoption through awareness by government. Farmers should form cooperatives to enable resourceful negotiation for inputs. Also, an improvement in the research and development of high quality improved maize varieties should be encouraged.

Suggested Citation

  • Ndem Chijioke, Uteh Akaninyene, 2018. "Profitability of Improved Seed Adoption on Small Holders Maize Farmers in Abuja Nigeria," Business and Management Studies, Redfame publishing, vol. 4(4), pages 71-81, December.
    • Handle: RePEc:rfa:bmsjnl:v:4:y:2018:i:4:p:71-81
    as

    Download full text from publisher

    File URL: http://redfame.com/journal/index.php/bms/article/view/3922/4110
    Download Restriction: no
    File URL: http://redfame.com/journal/index.php/bms/article/view/3922
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Garth Holloway & Ma. Lucila A. Lapar, 2007. "How Big is Your Neighbourhood? Spatial Implications of Market Participation Among Filipino Smallholders," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(1), pages 37-60, February.
    2. Ajibefun, Igbekele A., 2006. "Linking Socio-Economic and Policy Variables to Technical Efficiency of Traditional Agricultural Production: Empirical Evidence from Nigeria," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25535, International Association of Agricultural Economists.
    3. Baha, Michael & Temu, Andrew & Philip, Damas, 2013. "Sources of Technical Efficiency Among Smallholders Maize Farmers in Babati District, Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 1(2), July.
    4. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
    5. Victoria I. Audu & Goodness C. Aye, 2014. "The effects of improved maize technology on household welfare in Buruku, Benue State, Nigeria," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-10, December.
    6. Abdulai, Awudu & Huffman, Wallace, 2000. "Structural Adjustment and Economic Efficiency of Rice Farmers in Northern Ghana," Economic Development and Cultural Change, University of Chicago Press, vol. 48(3), pages 503-520, April.
    7. Sall, S. & Norman, D. & Featherstone, A. M., 2000. "Quantitative assessment of improved rice variety adoption: the farmer's perspective," Agricultural Systems, Elsevier, vol. 66(2), pages 129-144, November.
    8. Simtowe, Franklin & Zeller, Manfred & Diagne, Aliou, 2009. "The impact of credit constraints on the adoption of hybrid maize in Malawi," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 90(1).
    9. Ephraim Nkonya & Ted Schroeder & David Norman, 1997. "Factors Affecting Adoption Of Improved Maize Seed And Fertiliser In Northern Tanzania," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 1-12, January.
    10. Morris, Michael L. & Tripp, Robert & Dankyi, A.A., 1999. "Adoption and Impacts of Improved Maize Production Technology: A Case Study of the Ghana Grains Development Project," Economics Program Papers 48767, CIMMYT: International Maize and Wheat Improvement Center.
    11. Ali, Mubarik, 1996. "Quantifying the socio-economic determinants of sustainable crop production: an application to wheat cultivation in the Tarai of Nepal," Agricultural Economics, Blackwell, vol. 14(1), pages 45-60, April.
    12. Mubarik Ali, 1996. "Quantifying the socio‐economic determinants of sustainable crop production: an application to wheat cultivation in the Tarai of Nepal," Agricultural Economics, International Association of Agricultural Economists, vol. 14(1), pages 45-60, April.
    13. Joel L. Horowitz & N. E. Savin, 2001. "Binary Response Models: Logits, Probits and Semiparametrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 43-56, Fall.
    14. Hiroyuki Takeshima & Futoshi Yamauchi, 2012. "Risks and farmers’ investment in productive assets in Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 43(2), pages 143-153, March.
    15. Doss, Cheryl R., 2003. "Understanding Farm-Level Technology Adoption: Lessons Learned From Cimmyt'S Micro Surveys In Eastern Africa," Economics Working Papers 46552, CIMMYT: International Maize and Wheat Improvement Center.
    16. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    17. Adesina, Akinwumi A. & Baidu-Forson, Jojo, 1995. "Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa," Agricultural Economics, Blackwell, vol. 13(1), pages 1-9, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kenneth, Akankwasa & Gerald, Ortmann & Edilegnaw, Wale & Wilberforce, Tushemereirwe, 2012. "Ex-Ante Adoption of New Cooking Banana (Matooke) Hybrids in Uganda Based on Farmers' Perceptions," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 123302, International Association of Agricultural Economists.
    2. Fadare, Olusegun Ayodeji & Akerele, Dare & Toritseju, Begho, 2014. "Factors Influencing Adoption Decisions Of Maize Farmers In Nigeria," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(3), pages 1-10, July.
    3. Ouma, James Okuro & De Groote, Hugo & Owuor, George, 2006. "Determinants of Improved Maize Seed and Fertilizer Use in Kenya: Policy Implications," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25433, International Association of Agricultural Economists.
    4. Boubacar Balde & Hajime Kobayashi & Makoto Nohmi & Akira Ishida & Mohamed Esham & Emmanuel Tolno, 2014. "An Analysis of Technical Efficiency of Mangrove Rice Production in the Guinean Coastal Area," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 6(8), pages 179-179, July.
    5. repec:ags:ijag24:345244 is not listed on IDEAS
    6. Msangi, Haji Athumani, 2017. "Examining The Inverse Relationship Between Farm Size And Efficiency In Tanzanian Agriculture," Research Theses 276448, Collaborative Masters Program in Agricultural and Applied Economics.
    7. Kiran Prasad Bhatta & Akira Ishida & Kenji Taniguchi & Raksha Sharma, 2008. "Whose Extension Matters? Role of Governmental and Non-Governmental Agricultural Extension on the Technical Efficiency of Rural Nepalese Farms," Journal of South Asian Development, , vol. 3(2), pages 269-295, October.
    8. Tushemereirwe, W.K. & Wale, E. & Ortmann, G.F. & Akankwasa, k., 2013. "Farmers’ choice among recently developed hybrid banana varieties in Uganda: A multinomial logit analysis," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 52(2), March.
    9. K. Akankwasa & G. F. Ortmann & E. Wale & W. K. Tushemereirwe, 2016. "Early-Stage Adoption of Improved Banana “Matooke” Hybrids in Uganda: A Count Data Analysis Based on Farmers’ Perceptions," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 1-26, February.
    10. Okoth, Ouko Kevin, 2018. "Technical Efficiency Of Sugarcane Monoculture And Sugarcane- Soybean Intergration Among Smallholder Farmers In Awendo Sub-County, Kenya," Research Theses 276446, Collaborative Masters Program in Agricultural and Applied Economics.
    11. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    12. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    13. Nay, Myo Aung, 2011. "Agricultural efficiency of rice farmers in Myanmar : a case study in selected areas," IDE Discussion Papers 306, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    14. Wollni, Meike & Brümmer, Bernhard, 2012. "Productive efficiency of specialty and conventional coffee farmers in Costa Rica: Accounting for technological heterogeneity and self-selection," Food Policy, Elsevier, vol. 37(1), pages 67-76.
    15. Srinivasulu Rajendran, 2014. "Technical Efficiency of Fruit and Vegetable Producers in Tamil Nadu, India: A Stochastic Frontier Approach," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 11(1), pages 77-93, June.
    16. Martins-Filho, Carlos & Ziegelmann, Flávio Augusto & Torrent, Hudson da Silva, 2013. "Local Exponential Frontier Estimation," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 33(2), November.
    17. Cazals Catherine & Dudley Paul & Florens Jean-Pierre & Jones Michael, 2011. "The Effect of Unobserved Heterogeneity in Stochastic Frontier Estimation: Comparison of Cross Section and Panel with Simulated Data for the Postal Sector," Review of Network Economics, De Gruyter, vol. 10(3), pages 1-22, September.
    18. Mohamed E. Chaffai, 2022. "New evidence on Islamic and conventional bank efficiency: A meta‐regression analysis," Bulletin of Economic Research, Wiley Blackwell, vol. 74(1), pages 221-246, January.
    19. Mustafa U. Karakaplan & Levent Kutlu, 2019. "School district consolidation policies: endogenous cost inefficiency and saving reversals," Empirical Economics, Springer, vol. 56(5), pages 1729-1768, May.
    20. Kamil Makieła & Błażej Mazur & Jakub Głowacki, 2022. "The Impact of Renewable Energy Supply on Economic Growth and Productivity," Energies, MDPI, vol. 15(13), pages 1-13, June.
    21. Guerrero C., Alejandro & Rivera T., César, 2009. "Mexico: total productivity changes at the principal container ports," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rfa:bmsjnl:v:4:y:2018:i:4:p:71-81. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Redfame publishing (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.