IDEAS home Printed from https://ideas.repec.org/a/ags/naaenj/267813.html
   My bibliography  Save this article

Economic efficiency of artisanal fishing households under oil pollution environment in the Niger Delta region of Nigeria

Author

Listed:
  • Gbigbi, Theophilus M.
  • Enete, Anselm A.
  • Chude, Stella N.

Abstract

Fish supplies more than 87% of the animal protein in Nigeria, and more than 90% of coastal communities depend solely on fishing and fisheries related activities for their survival. Available information however, shows that Nigeria’s inland water bodies are producing less than 13% of their estimated fishery potential. And domestic demand for fish has never been met by dependence on output from available aquatic sources. Nigeria therefore imports over US$ 200 million worth of frozen fish per annum. The capacity of artisanal fisheries to play its role of bridging this food gap, providing employment and generating income, particularly for the coastal communities in Nigeria, will largely depend on the adoption of appropriate management strategies that will ensure efficiency and sustainability given their debilitating oil pollution environment. This study employed a Cobb- Douglas stochastic frontier cost function to measure the level of economic efficiency and its determinants among these households. A multi-stage random sampling technique was used to select 160 respondents from whom input-output data, prices and socioeconomic characteristics were obtained. The results of the analysis showed that individual levels of economic efficiency ranged from 0.10 – 0.96 with a mean of 0.68. While age, household size and number of fishing trips made in a week decreased, access to credit, membership of co-operative society, and oil spill increased, significantly, the respondents’ level of economic inefficiency. These observations particularly suggest that the farmers were yet to harness the potentials of farm credit and membership of cooperative societies in their farm business, perhaps as a result of poverty. We recommend training workshops and seminars to remedy this. There is also the need for policies that could compel oil companies to minimize oil spill within the farmers’ fishing environment. The adverse effects of oil spill on the environment and the economic politics of forcing oil companies to deal with it are global problems that the international community could assist poorer nations find ways out of it.

Suggested Citation

  • Gbigbi, Theophilus M. & Enete, Anselm A. & Chude, Stella N., 2015. "Economic efficiency of artisanal fishing households under oil pollution environment in the Niger Delta region of Nigeria," Nigerian Journal of Agricultural Economics, Nigerian Journal of Agricultural Economics, vol. 5(1).
    • Handle: RePEc:ags:naaenj:267813
    DOI: 10.22004/ag.econ.267813
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/267813/files/Volume%205%281%29R_Gbigbi.pdf
    Download Restriction: no
    File URL: https://ageconsearch.umn.edu/record/267813/files/Volume%205%281%29R_Gbigbi.pdf?subformat=pdfa
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.267813?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
    2. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    3. Okoye, B.C & Onyenweaku, C.E & Asumugha, G.N, 2006. "Allocative Efficiency of Small-Holder Cocoyam Farmers in Anambra State, Nigeria," MPRA Paper 17362, University Library of Munich, Germany.
    4. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. 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.
    7. Sharma, Khem R. & Leung, PingSun & Zaleski, Halina M., 1999. "Technical, allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches," Agricultural Economics, Blackwell, vol. 20(1), pages 23-35, January.
    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. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    2. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    3. Lachaal, Lassaad & Chebil, Ali & Dhehibi, Boubaker, 2004. "A Panel Data Approach to the Measurement of Technical Efficiency and its Determinants: Some Evidence from the Tunisian Agro-Food Industry," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 5(1), pages 1-9, January.
    4. Shujie Yao & Zinan Liu, 1998. "Determinants of Grain Production and Technical Efficiency in China," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(2), pages 171-184, June.
    5. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    6. Jean-François Brun & Maïmouna Diakite, 2016. "Tax Potential and Tax Effort: An Empirical Estimation for Non-resource Tax Revenue and VAT’s Revenue," Working Papers halshs-01332053, HAL.
    7. Dairo Estrada & Poldy Osorio, 2004. "Effects of Financial Capital on Colombian Banking Efficiency," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 22(47), pages 162-201, December.
    8. Madau, Fabio A., 2005. "Technical Efficiency in Organic Farming: An Application on Italian Cereal Farms Using a Parametric Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24545, European Association of Agricultural Economists.
    9. Gian Carlo Scarsi, 1999. "Local Electricity Distribution in Italy: Comparative Efficiency Analysis and Methodological Cross-Checking," Working Papers 1999.16, Fondazione Eni Enrico Mattei.
    10. Ruben Tansini & Patricia Triunfo, 1998. "Eficiencia técnica y apertura comercial en cuatro ramas industriales," Documentos de Trabajo (working papers) 0998, Department of Economics - dECON.
    11. Dhehibi, Boubaker & Telleria, Roberto & Aw-Hassan, Aden & Hatem Mohamed, Saad & Ziadat, Feras & Wu, Weicheng, 2015. "Impacts of Soil Salinity on the Productivity of Al-Musayyeb Small Farms in Iraq: An Examination of Technical, Economic, and Allocative, Efficiency," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-14.
    12. Ashok K. Mishra & Saleem Shaik & Aditya R. Khanal & Subir Bairagi, 2018. "Contract farming and technical efficiency: Evidence from low†value and high†value crops in Nepal," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 426-440, March.
    13. Althaler, Karl S. & Slavova, Tatjana, 2000. "DEA Problems under Geometrical or Probability Uncertainties of Sample Data," Economics Series 89, Institute for Advanced Studies.
    14. Liu, Zinan & Zhuang, Juzhong, 2000. "Determinants of Technical Efficiency in Post-Collective Chinese Agriculture: Evidence from Farm-Level Data," Journal of Comparative Economics, Elsevier, vol. 28(3), pages 545-564, September.
    15. Alene, Arega D. & Manyong, Victor M. & Gockowski, James, 2006. "The production efficiency of intercropping annual and perennial crops in southern Ethiopia: A comparison of distance functions and production frontiers," Agricultural Systems, Elsevier, vol. 91(1-2), pages 51-70, November.
    16. Nguyen Hung Anh & Wolfgang Bokelmann & Do Thi Nga & Nguyen Van Minh, 2019. "Toward Sustainability or Efficiency: The Case of Smallholder Coffee Farmers in Vietnam," Economies, MDPI, vol. 7(3), pages 1-25, July.
    17. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    18. Martín Rossi, 2015. "The Econometrics Approach to the Measurement of Efficiency: A Survey," Working Papers 117, Universidad de San Andres, Departamento de Economia, revised Feb 2015.
    19. Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1631-1641.
    20. Abiodun Adegboye & Olawale Daniel Akinyele, 2022. "Assessing the determinants of government spending efficiency in Africa," Future Business Journal, Springer, vol. 8(1), pages 1-17, 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:ags:naaenj:267813. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/naaeeea.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.