Science Journal of Business and Management

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Input Use Efficiency in Farm-Level Cassava Processing into Garri in Ivo LGA, of Ebonyi State, Nigeria

Received: 18 July 2015    Accepted: 20 July 2015    Published: 12 October 2015
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Abstract

In 2007, the input use efficiency in farm level cassava processing into garri in Ivo Local Government Area of Ebonyi State, Nigeria, was carried out. A random sampling technique was employed to select eighty cassava processors into garri. Scheduled interview was used to obtain cross sectional data. The quantity of cassava tubers processed by each garri producer, the inputs used and quantity of garri produced were extrapolated in metric tonnage for easy of analysis. Instrument of data descriptive statistical tools, production functional models, input use efficiency ratios and profitability ratios were used in data analysis. The result of the analysis shows that the average age of the cassava processors into garri was 52.10. Also 85% of the cassava processors are married and the average household size was 8. The average number of years in formal school was 10 and they had cassava farming occupation. The result further revealed that the farmers had 2.2 as their average farm size and 27.4 as the average garri production years of experience. From the survey, identifiable key resources include farm size, labour and other inputs as well as depreciated assets. The result indicated that the identified key resources (farm size, labour, other inputs, and depreciated assets) were inefficiently utilized by the garri producers, the enterprise however was profitable. The profit level could be increased if inefficiency in resource use is reduced through such measures as use of improved cassava varieties, improved processing equipment and facilities, and adult education and skill acquisition programmes.

DOI 10.11648/j.sjbm.s.2015030501.17
Published in Science Journal of Business and Management (Volume 3, Issue 5-1, September 2015)

This article belongs to the Special Issue Sustainable Entrepreneurial Developments in Agribusiness

Page(s) 30-34
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Input-Use, Efficiency, Profitability, Garri Production

References
[1] Anuebunwa, F. O. (1990). Farm resource allocation patterns in the traditional rainfed food crop based cropping systems in Imo State of Nigeria, Nigerian Academy of Science, 2: 84 – 92
[2] Anuebunwa, F. O. (2005). The structure, conduct and performance of the marketing system for garri in Abia State of Nigeria. PhD Thesis, Federal University of Technology, Owerri, Nigeria.
[3] Anuebunwa, F. O.; Lemchi, J. I.; Njoku, J. E. (2006).Garri marketing System in Abia State of Nigeria: An Assessment of garri marketing margins. Journal of Sustainable Tropical Research, 17: 21 – 25
[4] Anuebunwa, F. O. (2007). Analysis of Seller concentration and market performance in rice marketing system in Ebony State of Nigeria. Journal of Sustainable Tropical Agricultural, 22: 46-50
[5] Anuebunwa, F. O. (2009). Economic assessment of profitability of Farm-level garri production in Southern Area of Ebonyi State, Nigeria. Journal of Food and Fiber Production, 2 (1): 326 -334.
[6] FAO (2004) Online Statistical Database, Rome, Italy: Food and Agriculture Organization of United Nations, http://www.fao.org.
[7] Henry, G. K. and Grottret, M. V. (1994). Cassava technology adoption constraints and opportunities. In cassava breeding, agronomy research and technology transfer in Abia. Proceedings of the West African Cassava Workshop, 2 – 6 November, 1993, Trivandum, India Bangkok, Thailand IITA (2004). Nigeria’s Cassava Industry: Statistical Handbook.
[8] Ike, P. C. and Ogba, A (2005) Resource Use Efficiency by Cassava Women Farmers: Evidence from Enugu State. Proceedings of the 39th Conference of Agricultural Society of Nigeria, Benin 2005.
[9] Nweke, F. I., Ugwu, B. O., Dixon, A. G. O., Asodu, G.L.A., Ajobo. O. (1999).Cassava production in Nigeria. A Function and Processing Technologies, Collaborative Study of Cassava in Africa, Working Paper No 20, International Institute of Tropical Agriculture, Ibadan, Nigeria.
[10] Nwaru, J. C. (1993). A Comparison of the allocative efficiency of cooperative and non- cooperative farms in food crop production in Imo State, Nigeria. Nigeria Journal of Agricultural Teachers Education, Vol (1 and 2): 139 - 148
[11] Nwaru, J. C. (2000). Technical efficiency differentials on cooperative and non-cooperative farms: implication for food security in Nigeria. Nigeria Journal of Agricultural Technology.9 (1): 21-29
[12] Odurukwe, S. O. Anuebunwa, F. O., Amangbo, L. E. F. (1997). Women cassava producer’s processors in Amoba Arochukwu: Report of Thematic Survey, National Root Crops Research Institute, Umudike, Umuahia, Nigeria.
[13] Olomola, A. (1988). Agricultural credit and production efficiency, Monograph Series N0. 4. Nigerian Institute of Social and Economic Research, Ibadan, Nigeria.
[14] Onyeweaku, C. E. (1986). Resource use efficiency in food production in Nigeria: A case study of Anambra – Imo River Basin Development Authority. Issues in African Rural Development Monograph Series No. 6
[15] PCU (2003). Crop Area Yield Survey, Abuja Nigeria: Federal Ministry of Agriculture and Rural Development: Project Coordinating Unit.
[16] Philips, T. P., Taloy,D.S., Sami, L. and Akoroda M. O. (2004): A Cassava Industrial Revolution in Nigeria: The Potential for a New Industrial Crop. http://www.fao.org/docrep/007/Y5548E/Y5548E07.html
Author Information
  • Federal College of Agriculture, Ishiagu, Ebonyi State, Nigeria

  • National Root Crop Research Institute Umudike, Abia State, Nigeria

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  • APA Style

    T. C. Nwaneri, J. A. Nwaneri. (2015). Input Use Efficiency in Farm-Level Cassava Processing into Garri in Ivo LGA, of Ebonyi State, Nigeria. Science Journal of Business and Management, 3(5-1), 30-34. https://doi.org/10.11648/j.sjbm.s.2015030501.17

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    ACS Style

    T. C. Nwaneri; J. A. Nwaneri. Input Use Efficiency in Farm-Level Cassava Processing into Garri in Ivo LGA, of Ebonyi State, Nigeria. Sci. J. Bus. Manag. 2015, 3(5-1), 30-34. doi: 10.11648/j.sjbm.s.2015030501.17

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    AMA Style

    T. C. Nwaneri, J. A. Nwaneri. Input Use Efficiency in Farm-Level Cassava Processing into Garri in Ivo LGA, of Ebonyi State, Nigeria. Sci J Bus Manag. 2015;3(5-1):30-34. doi: 10.11648/j.sjbm.s.2015030501.17

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  • @article{10.11648/j.sjbm.s.2015030501.17,
      author = {T. C. Nwaneri and J. A. Nwaneri},
      title = {Input Use Efficiency in Farm-Level Cassava Processing into Garri in Ivo LGA, of Ebonyi State, Nigeria},
      journal = {Science Journal of Business and Management},
      volume = {3},
      number = {5-1},
      pages = {30-34},
      doi = {10.11648/j.sjbm.s.2015030501.17},
      url = {https://doi.org/10.11648/j.sjbm.s.2015030501.17},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.sjbm.s.2015030501.17},
      abstract = {In 2007, the input use efficiency in farm level cassava processing into garri in Ivo Local Government Area of Ebonyi State, Nigeria, was carried out. A random sampling technique was employed to select eighty cassava processors into garri. Scheduled interview was used to obtain cross sectional data. The quantity of cassava tubers processed by each garri producer, the inputs used and quantity of garri produced were extrapolated in metric tonnage for easy of analysis. Instrument of data descriptive statistical tools, production functional models, input use efficiency ratios and profitability ratios were used in data analysis. The result of the analysis shows that the average age of the cassava processors into garri was 52.10. Also 85% of the cassava processors are married and the average household size was 8. The average number of years in formal school was 10 and they had cassava farming occupation. The result further revealed that the farmers had 2.2 as their average farm size and 27.4 as the average garri production years of experience. From the survey, identifiable key resources include farm size, labour and other inputs as well as depreciated assets. The result indicated that the identified key resources (farm size, labour, other inputs, and depreciated assets) were inefficiently utilized by the garri producers, the enterprise however was profitable. The profit level could be increased if inefficiency in resource use is reduced through such measures as use of improved cassava varieties, improved processing equipment and facilities, and adult education and skill acquisition programmes.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Input Use Efficiency in Farm-Level Cassava Processing into Garri in Ivo LGA, of Ebonyi State, Nigeria
    AU  - T. C. Nwaneri
    AU  - J. A. Nwaneri
    Y1  - 2015/10/12
    PY  - 2015
    N1  - https://doi.org/10.11648/j.sjbm.s.2015030501.17
    DO  - 10.11648/j.sjbm.s.2015030501.17
    T2  - Science Journal of Business and Management
    JF  - Science Journal of Business and Management
    JO  - Science Journal of Business and Management
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    PB  - Science Publishing Group
    SN  - 2331-0634
    UR  - https://doi.org/10.11648/j.sjbm.s.2015030501.17
    AB  - In 2007, the input use efficiency in farm level cassava processing into garri in Ivo Local Government Area of Ebonyi State, Nigeria, was carried out. A random sampling technique was employed to select eighty cassava processors into garri. Scheduled interview was used to obtain cross sectional data. The quantity of cassava tubers processed by each garri producer, the inputs used and quantity of garri produced were extrapolated in metric tonnage for easy of analysis. Instrument of data descriptive statistical tools, production functional models, input use efficiency ratios and profitability ratios were used in data analysis. The result of the analysis shows that the average age of the cassava processors into garri was 52.10. Also 85% of the cassava processors are married and the average household size was 8. The average number of years in formal school was 10 and they had cassava farming occupation. The result further revealed that the farmers had 2.2 as their average farm size and 27.4 as the average garri production years of experience. From the survey, identifiable key resources include farm size, labour and other inputs as well as depreciated assets. The result indicated that the identified key resources (farm size, labour, other inputs, and depreciated assets) were inefficiently utilized by the garri producers, the enterprise however was profitable. The profit level could be increased if inefficiency in resource use is reduced through such measures as use of improved cassava varieties, improved processing equipment and facilities, and adult education and skill acquisition programmes.
    VL  - 3
    IS  - 5-1
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