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Can producer groups improve technical efficiency among artisanal shrimpers in Nigeria? A study accounting for observed and unobserved selectivity

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  • Ayobami Adetoyinbo

    (University of Goettingen
    Humboldt University Berlin)

  • Verena Otter

    (Wageningen University)

Abstract

It is widely recognized that participation in producer groups is advantageous for smallholders who must deal with complex production and marketing constraints and dynamic business environments. However, available data on this process are scarce in the fishery sector, while existing evidence is limited by smallholders’ potential self-selection into producer groups. This study, therefore, examined the selectivity-corrected role of fisher groups in improving shrimpers’ technological and technical efficiency. Using the latest primary data from artisan shrimpers in Nigeria, we applied propensity score matching and Greene’s selectivity stochastic production frontier model to control for selection bias from both observable and unobservable factors. Empirical results from our metafrontier approach show that technical efficiency scores for members tend to be overestimated if selectivity is not properly controlled. However, the technical efficiencies and productivities of members were significantly higher regardless of how biases were corrected, implying that participation in fisher groups is positively related to increases in shrimpers’ capture and technical efficiency. Further findings suggest that current artisanal fisher groups are “production-oriented” as they ensure that members access vital shrimping inputs at lower costs. With declining returns to scale for members, the study concludes that without public and private support for collective action in the fishery sector, membership in artisanal fisher groups may not lead to significant improvement in shrimpers’ productivity. The study discusses several recommendations on how collective action can be further encouraged and developed among artisan fishers.

Suggested Citation

  • Ayobami Adetoyinbo & Verena Otter, 2022. "Can producer groups improve technical efficiency among artisanal shrimpers in Nigeria? A study accounting for observed and unobserved selectivity," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-33, December.
  • Handle: RePEc:spr:agfoec:v:10:y:2022:i:1:d:10.1186_s40100-022-00214-x
    DOI: 10.1186/s40100-022-00214-x
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    as
    1. Abdul-Rahaman, Awal & Abdulai, Awudu, 2018. "Do farmer groups impact on farm yield and efficiency of smallholder farmers? Evidence from rice farmers in northern Ghana," Food Policy, Elsevier, vol. 81(C), pages 95-105.
    2. Hailu, Getu & Weersink, Alfons & Minten, Bart J., 2015. "Rural Organizations, Agricultural Technologies and Production Efficiency of Teff in Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 211702, International Association of Agricultural Economists.
    3. Kularatne Mohottala Gedara & Clevo Wilson & Sean Pascoe & Tim Robinson, 2012. "Factors Affecting Technical Efficiency of Rice Farmers in Village Reservoir Irrigation Systems of Sri Lanka," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(3), pages 627-638, September.
    4. Helen Markelova & Esther Mwangi, 2010. "Collective Action for Smallholder Market Access: Evidence and Implications for Africa," Review of Policy Research, Policy Studies Organization, vol. 27(5), pages 621-640, September.
    5. Awudu Abdulai & Wallace Huffman, 2014. "The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application," Land Economics, University of Wisconsin Press, vol. 90(1), pages 26-43.
    6. Ragasa, Catherine & Mazunda, John, 2018. "The impact of agricultural extension services in the context of a heavily subsidized input system: The case of Malawi," World Development, Elsevier, vol. 105(C), pages 25-47.
    7. John Herbert Ainembabazi & Piet Asten & Bernard Vanlauwe & Emily Ouma & Guy Blomme & Eliud Abucheli Birachi & Paul Martin Dontsop Nguezet & Djana Babatima Mignouna & Victor M. Manyong, 2017. "Improving the speed of adoption of agricultural technologies and farm performance through farmer groups: evidence from the Great Lakes region of Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 48(2), pages 241-259, March.
    8. Cliff Huang & Tai-Hsin Huang & Nan-Hung Liu, 2014. "A new approach to estimating the metafrontier production function based on a stochastic frontier framework," Journal of Productivity Analysis, Springer, vol. 42(3), pages 241-254, December.
    9. Subal Kumbhakar & Efthymios Tsionas & Timo Sipiläinen, 2009. "Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming," Journal of Productivity Analysis, Springer, vol. 31(3), pages 151-161, June.
    10. Tanguy Bernard & Alemayehu Seyoum Taffesse, 2012. "Returns to Scope? Smallholders' Commercialisation through Multipurpose Cooperatives in Ethiopia," Journal of African Economies, Centre for the Study of African Economies, vol. 21(3), pages 440-464, June.
    11. Ma, Wanglin & Renwick, Alan & Yuan, Peng & Ratna, Nazmun, 2018. "Agricultural cooperative membership and technical efficiency of apple farmers in China: An analysis accounting for selectivity bias," Food Policy, Elsevier, vol. 81(C), pages 122-132.
    12. Damian Sambuo & Stephen Kirama & Kitala Malamsha, 2020. "Analysis of Fish Landing Price on Subjective Wellbeing of Fishers Around Lake Victoria, Tanzania," Journal of Happiness Studies, Springer, vol. 21(5), pages 1823-1839, June.
    13. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    14. Ma, Wanglin & Abdulai, Awudu, 2016. "Does cooperative membership improve household welfare? Evidence from apple farmers in China," Food Policy, Elsevier, vol. 58(C), pages 94-102.
    15. 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.
    16. Fischer, Elisabeth & Qaim, Matin, 2012. "Linking Smallholders to Markets: Determinants and Impacts of Farmer Collective Action in Kenya," World Development, Elsevier, vol. 40(6), pages 1255-1268.
    17. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    18. Alawode, O.O. & Oluwatayo, I.B., 2019. "Development Outcomes of Fadama III among Fish Farmers in Nigeria: Evidence from Lagos State," Evaluation and Program Planning, Elsevier, vol. 75(C), pages 10-19.
    19. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    20. Barrett, Christopher B. & Bachke, Maren E. & Bellemare, Marc F. & Michelson, Hope C. & Narayanan, Sudha & Walker, Thomas F., 2012. "Smallholder Participation in Contract Farming: Comparative Evidence from Five Countries," World Development, Elsevier, vol. 40(4), pages 715-730.
    21. Sanzidur Rahman & Aree Wiboonpongse & Songsak Sriboonchitta & Yaovarate Chaovanapoonphol, 2009. "Production Efficiency of Jasmine Rice Producers in Northern and North‐eastern Thailand," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 419-435, June.
    22. Ellen Verhofstadt & Miet Maertens, 2014. "Smallholder cooperatives and agricultural performance in Rwanda: do organizational differences matter?," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 39-52, November.
    23. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    24. Shaibu Baanni Azumah & Samuel Arkoh Donkoh & Joseph Agebase Awuni, 2019. "Correcting for sample selection in stochastic frontier analysis: insights from rice farmers in Northern Ghana," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-15, December.
    25. 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.
    26. Jasper Grashuis, 2018. "Joint ownership by farmers and investors in the agri-food industry: an exploratory study of the limited cooperative association," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-14, December.
    27. Chagwiza, Clarietta & Muradian, Roldan & Ruben, Ruerd, 2016. "Cooperative membership and dairy performance among smallholders in Ethiopia," Food Policy, Elsevier, vol. 59(C), pages 165-173.
    28. Lokina, Razack B., 2009. "Technical efficiency and the role of skipper skill in artisanal Lake Victoria fisheries," Environment and Development Economics, Cambridge University Press, vol. 14(4), pages 497-519, August.
    29. Luis A. De los Santos‐Montero & Boris E. Bravo‐Ureta, 2017. "Productivity effects and natural resource management: econometric evidence from POSAF‐II in Nicaragua," Natural Resources Forum, Blackwell Publishing, vol. 41(4), pages 220-233, November.
    30. Gashaw Tadesse ABATE & Gian Nicola FRANCESCONI & Kindie GETNET, 2014. "Impact Of Agricultural Cooperatives On Smallholders’ Technical Efficiency: Empirical Evidence From Ethiopia," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 85(2), pages 257-286, June.
    31. Idda, Lorenzo & Madau, Fabio A. & Pulina, Pietro, 2009. "Capacity and economic efficiency in small-scale fisheries: Evidence from the Mediterranean Sea," Marine Policy, Elsevier, vol. 33(5), pages 860-867, September.
    32. Adetoyinbo, Ayobami & Otter, Verena, 2020. "Organizational Structures, Gender Roles and Upgrading Strategies for Smallholders in Developing Countries’ Local Value Chains," GlobalFood Discussion Papers 305193, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    33. Kotchikpa G. Lawin & Lota D. Tamini, 2019. "Tenure Security and Farm Efficiency Analysis Correcting for Biases from Observed and Unobserved Variables: Evidence from Benin," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(1), pages 116-134, February.
    34. Hellin, Jon & Lundy, Mark & Meijer, Madelon, 2009. "Farmer organization, collective action and market access in Meso-America," Food Policy, Elsevier, vol. 34(1), pages 16-22, February.
    35. repec:zwi:journl:v:43:y:2012:i:1:p:55-72 is not listed on IDEAS
    36. Wooldridge, Jeffrey M., 2014. "Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 182(1), pages 226-234.
    37. 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.
    38. Evans Ngenoh & Barnabas K. Kurgat & Hillary K. Bett & Sindu W. Kebede & Wolfgang Bokelmann, 2019. "Determinants of the competitiveness of smallholder African indigenous vegetable farmers in high-value agro-food chains in Kenya: A multivariate probit regression analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-17, December.
    39. Edward Martey & Prince Etwire & Alexander Wiredu & Wilson Dogbe, 2014. "Factors influencing willingness to participate in multi-stakeholder platform by smallholder farmers in Northern Ghana: implication for research and development," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-15, December.
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