The study was on the analysis of the resource management ability by catfish farmers in Nigeria: A case of Ogbaru Local Government Area, Anambra State. The study focused on the five objectives which investigated the socioeconomic characteristics, costs and net returns, production function, determinants of the returns, resource use efficiency of the farmers, and the challenges facing fish farmers. Data for the study was collected from a cross-section of 240 randomly selected catfish farmers using a well-structured questionnaire and facial interview. The study was able to reveal that male (72.1%) farmers dominated the industry. The study recorded an average age, household size, level of education, farming experience, and output as 46 years, 11 people, 11 years, 13 years and 5.297 tons respectively. Fish farming was profitable with a net returns of 5,057.02 USD and returns on investment of 1.82 implying 1.82 USD returns upon every USD investment. The double-log was the lead functional form for the production functions, pond size (2.64)**, utilities (1.99)**, fingerlings (2.92)***, fertilizer (-1.97)**, and labour (-3.31)*** were the significant production factors. The ratio of Marginal Value Product (MVP) to Marginal Factor Cost (MFC) was less than one for all the resources used apart from fingerlings cost which was greater than one. The relationship between net returns and socioeconomic variables, semi-log was the lead equation and sex, farming experience, level of education, household size, and primary occupation were the significant variables. Furthermore, the study identified the following grey areas inherent in fish farming in the area to include; high cost of feed among others.
Published in | International Journal of Agricultural Economics (Volume 5, Issue 5) |
DOI | 10.11648/j.ijae.20200505.12 |
Page(s) | 156-164 |
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), 2020. Published by Science Publishing Group |
Catfish Farming, Management, Optimal Allocation, Relative Change, Marginal Value Product, Efficiency
[1] | Giwa E. J., Jim-Saiki L., Adeyemo A. M., Unah RL., Waniko S. N, Ogunbadejo H. K. & Alhaji T. (2018). Short-term prediction of fish production in Nigeria: Empirical study Nigeria fish demand and supply. International Journal of Advanced Multidisciplinary Research, 5 (9), 28-37. DOI: 10.22192/ijamr. |
[2] | FDF (2018). Report of Presidential Committee on Fisheries and Aquaculture Development. Federal Department of Fisheries, Federal Ministry of Agriculture Nigeria and New York Science Journal, 2020; 13 (2). Retrieved from http://www.sciencepub.net/newyork |
[3] | Penda S. T., Unaji G. P. & Odoenmenem I. U. (2013) Profitability analysis of fish production from concrete pond system in Benue State, Nigeria. International Journal of Research in Social Sciences, 2 (4), 64-70. |
[4] | Food and Agriculture Organization (2018). The Nigeria country Brief and the FAO Fishery and Aquaculture Statistics. Accessed online from https://www.fao.org on 11/7/19. |
[5] | Tasie C. M., Wilcox G. I. & Kalio A. E. (2020). Analysis of artisanal fishing operations in Degema Local Government Area of Rivers State, Nigeria. New York Science Journal, 13 (2), 85-91. |
[6] | Otubusin, S. O. (2011). An inaugural lecture: Fish! Fish!! Fish!!! Department of Aquaculture and Fisheries Management, College of Environmental Resource Management, University of Agriculture, Abeokuta, Ogun State, Nigeria, (pp: 45–55). |
[7] | FDF, 2005. Report of Presidential Committee on Fisheries and aquaculture Development, Consolidated Repot, vol. 1, 2005. |
[8] | Anene A., Ezeh C. I. & Oputa C. O. (2010). Resource use and efficiency of artisanal fishing in Oguta, Imo State, Nigeria. Journal of Development and Agricultural Economics. 3, 94-99. |
[9] | Effiong M. U. & Isaac I. N. (2019). Comparative study of the bacterial load and species diversity in the African catfish (Clarias gariepinus) cultured in contrasting aquaculture tanks in Uyo, Nigeria. Animal Research International, 16 (3), 3443-3449. |
[10] | Amande T. J. & Nwaka S. U. (2013). Bacterial flora of African catfish (Clarias gariepinus) harvested from ponds in Uyo South-South Nigeria. Journal of Environmental Science, Toxicology and Food Technology, 5 (3), 72-76. |
[11] | Oladejo A. J. (2010). Economic analysis of small-scale catfish farming in Ido Local Government Area of Oyo State, Nigeria. Agricultural Journal, 5 (6), 318-321. |
[12] | Oluwatayo I. B. & Adedeji T. A. (2019). Comparative analysis of technical efficiency of catfish farms using different technologies in Lagos State, Nigeria: a Data Envelopment Analysis (DEA) approach. Agriculture & Food Security, 8 (8), 1-9. |
[13] | Unekwu O., Tijani A. A. & Ojomugbokenyode E. (2020). Assessment of the constraints to catfish farming in Kogi State, Nigeria. Asian Research Journal of Agriculture, 12 (3), 39-46. |
[14] | Rahman S. A. & Lawal A. B. (2003). Economic analysis of maize based cropping systems in Giwi Local Government Area of Kaduna State, Nigeria. International Journal of Agriculture. Science, Environment and Technology, 3 (2), 139-148. |
[15] | Mahesh S. & Mahima B. (2018). Resource use efficiency analysis for potato production in Nepal. Journal of Nepal Agricultural Research Council, 4, 54-59. DOI: http://dx.doi.org/10.3126/jnarc.v4i1.19690 |
[16] | Ohajianya DO, Onu PN, Ugwu JN, Osuji MN, Nwaiwu IU, Orebiyi JS, Godson-Ibeji CC, Enyia CO (2013). Technical efficiency of table egg producers in Imo State, Nigeria. Asian Journal of Agricultural Extension, Economics and Sociology 2 (2): 118-127. |
[17] | Azih I. (2008). A background analysis of the Nigerian agricultural sector (1998 to 2007). Oxfam NOVIB Economic Justice Campaign in Agriculture, November 2008, external financing and agricultural productivity in Nigeria. Accessed on 12 August 2020 from https://www.researchgate.net/publication/3377 |
[18] | Sule A. & Yusuf A. (2019). External financing and agricultural productivity in Nigeria. Journal of Economics and Finance, 3 (1), 307-320. |
[19] | Obianefo C. A., Osuafor O. O., Ezeano C. I. & Anumudu O. O. (2020). Mediation effect of adopting good agronomic practices on rice productivity in Anambra State, Nigeria. International journal of agriculture and rural development, 23 (1), 4913-4926. |
[20] | Wategire BB, Ike PC (2015). An analysis of the technical efficiency of non-motorized small scale Shrimp Fishers in the Coastal areas of Delta State, Nigeria. Mediterranean Journal of Social Sciences, 6 (1), 285-291. |
[21] | Obianefo C. A., Nwigwe C. A., Meludu T. N. & Anyasie I. C. (2020). Technical efficiency of rice farmers in Anambra State value chain development programme. Journal of Development and Agricultural Economics, 12 (2), 67-74. |
[22] | Ayinde A., Okuneye P. A., Aromolaran A. B. & Momoh S. (2017). Insecticide use efficiency in cowpea production in Nigeria. Journal of Sustainable Development, 2 (1), 36-44. |
[23] | Sani A, Yakubu AA, Bello HM (2010). Resource-use efficiency in rice production under small scale irrigation in Bunkure Local Government Area of Kano State. Nigerian Journal of Basic and Applied Sciences. 18 (2): 292-296. |
[24] | Adesina A. A. & Djato K. K. (1997). Relative efficiency of women as farm managers: Profit function analysis in Côte d'Ivoire. Agricultural Economics, 16 (1), 47-53. |
[25] | Kaliba A. R. & Engle C. R. (2015). Productive efficiency of Catfish farms in Chicot County, Arkansas. Aquaculture Economics & Management, (pp. 1-24). Aquaculture/Fisheries Center, University of Arkansas at Pine Bluff, 1200 North University Drive, Mail Slot 4912, Pine Bluff, AR 71603, USA. |
[26] | Kareem R. O., Dipeolu A. O., Aromolaran A. B & Akegbejo-Samson (2008). Analysis of technical, allocative and economic efficiency of different pond systems in Ogun state, Nigeria. African Journal of Agricultural Research, 3 (4), 246-254. |
[27] | Oleg B., Michael F. & Andreas S. (2006). Allocative efficiency measurement revisited: Do we really need input prices? Accessed 12 August 2020 from file:///C:/Users/JEKS/Downloads/Allocative_Efficiency_Measurement_Revisited_Do_We_.pdf |
[28] | Fasasi A. R. (2006). Resource use efficiency in yam production in Ondo State, Nigeria. Agric. J., 1 (2), 36-40. |
[29] | Goni M., Mohammed S. & Baba B. A. (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. |
[30] | Awunyo-Victor D., Abawiera C. W. & Aidoo R. (2016). Resource use efficiency among maize farmers in Ghana. Agric. & Food Security, 5 (28), 1-10. |
[31] | Mijindadi N. B. (1980). Production efficiency on farms in Northern Nigeria. An unpublished Ph.D Thesis, Cornell University, U.S.A. |
[32] | Ochi J. E., Sani R. M. & Idefoh F. K. (2015). Economic analysis of resource use efficiency among small scale cassava farmers in Nasarawa State, Nigeria: Implications for Agricultural Transformation Agenda. International Journal of Research in Agriculture and Forestry, 2 (2), 14-21. |
APA Style
Obianefo Chukwujekwu Aloysius, Nwike Chukwudi Matthew, Anumudu Oluchi Odinaka, Onyekineso Chimnedum Johnpaul. (2020). Analysis of the Resource Management Ability by Catfish Farmers in Nigeria: A Case of Ogbaru Local Government Area, Anambra State. International Journal of Agricultural Economics, 5(5), 156-164. https://doi.org/10.11648/j.ijae.20200505.12
ACS Style
Obianefo Chukwujekwu Aloysius; Nwike Chukwudi Matthew; Anumudu Oluchi Odinaka; Onyekineso Chimnedum Johnpaul. Analysis of the Resource Management Ability by Catfish Farmers in Nigeria: A Case of Ogbaru Local Government Area, Anambra State. Int. J. Agric. Econ. 2020, 5(5), 156-164. doi: 10.11648/j.ijae.20200505.12
AMA Style
Obianefo Chukwujekwu Aloysius, Nwike Chukwudi Matthew, Anumudu Oluchi Odinaka, Onyekineso Chimnedum Johnpaul. Analysis of the Resource Management Ability by Catfish Farmers in Nigeria: A Case of Ogbaru Local Government Area, Anambra State. Int J Agric Econ. 2020;5(5):156-164. doi: 10.11648/j.ijae.20200505.12
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TY - JOUR T1 - Analysis of the Resource Management Ability by Catfish Farmers in Nigeria: A Case of Ogbaru Local Government Area, Anambra State AU - Obianefo Chukwujekwu Aloysius AU - Nwike Chukwudi Matthew AU - Anumudu Oluchi Odinaka AU - Onyekineso Chimnedum Johnpaul Y1 - 2020/09/03 PY - 2020 N1 - https://doi.org/10.11648/j.ijae.20200505.12 DO - 10.11648/j.ijae.20200505.12 T2 - International Journal of Agricultural Economics JF - International Journal of Agricultural Economics JO - International Journal of Agricultural Economics SP - 156 EP - 164 PB - Science Publishing Group SN - 2575-3843 UR - https://doi.org/10.11648/j.ijae.20200505.12 AB - The study was on the analysis of the resource management ability by catfish farmers in Nigeria: A case of Ogbaru Local Government Area, Anambra State. The study focused on the five objectives which investigated the socioeconomic characteristics, costs and net returns, production function, determinants of the returns, resource use efficiency of the farmers, and the challenges facing fish farmers. Data for the study was collected from a cross-section of 240 randomly selected catfish farmers using a well-structured questionnaire and facial interview. The study was able to reveal that male (72.1%) farmers dominated the industry. The study recorded an average age, household size, level of education, farming experience, and output as 46 years, 11 people, 11 years, 13 years and 5.297 tons respectively. Fish farming was profitable with a net returns of 5,057.02 USD and returns on investment of 1.82 implying 1.82 USD returns upon every USD investment. The double-log was the lead functional form for the production functions, pond size (2.64)**, utilities (1.99)**, fingerlings (2.92)***, fertilizer (-1.97)**, and labour (-3.31)*** were the significant production factors. The ratio of Marginal Value Product (MVP) to Marginal Factor Cost (MFC) was less than one for all the resources used apart from fingerlings cost which was greater than one. The relationship between net returns and socioeconomic variables, semi-log was the lead equation and sex, farming experience, level of education, household size, and primary occupation were the significant variables. Furthermore, the study identified the following grey areas inherent in fish farming in the area to include; high cost of feed among others. VL - 5 IS - 5 ER -