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Farm Economic Efficiency Gap Due to Gender Discrimination-Evidence from Usaid Markets II Programme Participating Small-Scale Farmers in Kano State of Nigeria

Year 2022, Volume: 32 Issue: 2, 301 - 313, 29.12.2022
https://doi.org/10.18615/anadolu.1225655

Abstract

The study explores the influence of gender discrimination on the agricultural economic efficiency gap between women and men farmers in Nigeria's Kano State, as part of the USAID MARKETS II initiative. A structured questionnaire supported by an interview schedule was utilized to extract cross-sectional data from 189 participants selected by a multi-stage sample technique using a simple cost-route strategy. Both descriptive and inferential statistics were applied to the acquired data. Gender disparity has both an effect and an impact on the farm economic efficiency of women farmers, putting them at a disadvantage compared to their male counterparts, according to scientific research. Besides, the extension gap which affected the farm economic efficiency of the women farmers compared to the men is due to gender stereotype. Further, in isolating the impact of gender differential, it was observed that gaps of technical and cost efficiencies between the two genders owe majorly to gender discrimination. In addition, both gender discrimination and the endowment factor had an equal contribution to the yield gap between the two groups. However, the profit efficiency gap between the genders is due majorly to endowment effect. In general, it can be concluded that gender discrimination, i.e. gender inequality and gender stereotype, has slowed the active engagement of women beneficiaries in the program, hence impeding the continuation of their farm businesses. As a result, in order for the program to be sustainable, it should include a gender budget in its strategy, allowing women to break the curse of gender inequality, which has limited access to and control over productive resources.

References

  • AfDB. 2015. Africa Competitiveness Report 2015. Retrieved on 13/06/2021 from http://www3.weforum.org/docs/ WEF_ACR_ 2015/Africa_Competitiveness_Report_ 2015.
  • Aguilar, A., E. Carranza, M. Goldstein, T. Kilic, and G. Oseni. 2014. Decomposition of gender differentials in agricultural productivity in Ethiopia. Policy Research Working Paper. No.6764. The World Bank.
  • Amaefula, C., C.A. Okezie, and R. Mejeha. 2012. Risk attitude and insurance: A causal analysis. American Journal of Economics 2(3): 26-32
  • Blinder, A.S. 1973.Wage discrimination: reduced form and structural estimates. Journal of Human Resources 8(4):436-455.
  • Croppenstedt, A., M. Goldstein, and N. Rosas. 2013. Gender and agriculture: Inefficiencies, segregation, and low productivity traps. Policy Research Working Paper. No.6370, The World Bank. de Janvry, and E. Sadoulet. 2010. Agriculture for development in Sub-Saharan Africa: An update. African Journal of Agriculture and Resource Economics 5 (1): 194-204.
  • Dillon, B., and C. B. Barrett. 2014. Agricultural factor markets in Sub-Saharan Africa: An updated view with formal tests for market failure. Policy Research Working Paper. No.7117. The World Bank.
  • FAO. 2015.The State of food insecurity in the world. Retrieved on 13/06/2021 from http://www.fao.org/ 3/ai4646e.pdf.
  • Gebre, G. G., H. Isoda, D.B., Rahut, Y. Amekawa, and H. Nomura. 2021. Gender differences in agricultural productivity: evidence from maize farm households in southern Ethiopia. GeoJournal 86:843-864.
  • Kilic, T., A. Palacios-Lopez, and M. Goldstein. 2013. Caught in a productivity trap: A distributional perspective on gender differences in Malawian agriculture. Policy Research Working Paper. No. 6381. The World Bank.
  • Lokshin, M. and Z. Sajaia. 2011. Impact of interventions on discrete outcomes: Maximum likelihood estimation of the binary choice models with binary endogenous regressors. The Stata Journal 11(3): 11-21.
  • Marwa, B. 2014. Estimation of gender wage differentials in Egypt using Oaxaca Decomposition technique. pp. 1-26. In: 34th annual MEEA meeting in conjunction with the Allied Social Science Association (ASSA). 3-6 January. Philadelphia, USA.
  • Mukasa, A. N., and A. O. Salami. 2015. Gender productivity differentials among smallholder farmers in Africa: A cross country comparison. Working Paper Series. No. 231. African Development Bank. Abidjan, Coˆte d’Ivoire.
  • Oaxaca, R. 1973. Male-female wage differentials in urban labor markets. International Economic Review 9:693-709.
  • Odunlami, H. O., P. A. Okuneye, A. M. Shittu, A. R. Sanusi, I. O. Elegbede, and F. Kies. 2016. Assessment of gender differentials in economic and technical efficiency of poultry egg, a case study in Lagos State, Nigeria. Sustainability, Agri, Food and Environmental Research 4(1): 50-60.
  • Olakojo, S.A. 2017. Gender gap in agricultural productivity in Nigeria: A commodity level analysis. Economics of Agriculture 64(2):415-435
  • Oseni, G., P. Corral, M. Goldstein, and P. Winters 2015. Explaining gender differentials in agricultural production in Nigeria. Agricultural Economics 46(3):285-310.
  • Revathy, N., M. Thilagavathi, and A. Surendran. 2020. A comparative analysis of rural-urban migrants and non-migrants in the selected region of Tamil Nadu, India. Economic Affairs 65(1): 23-30.
  • Sadiq, M.S., I.P. Singh, and M.M. Ahmad. 2020a. Rice yield differentials between IFAD participating and non-participating farmers in Nigeria’s Niger State. Economic Affairs 65(4): 01-15.
  • Sadiq, M. S., I. P. Singh, M. M. Ahmad, and V. Kumari. 2020b. Effect of gender on income gap among fish farmers in Nigeria’s Kogi State. Atatürk Üniversitesi Kadın Araştırmaları Dergisi (Atatürk University Journal of Woman’s Studies) 2(2): 27-45
  • Sadiq, M. S., I. P. Singh, M. M. Ahmad, and M. O. Orifa. 2021.Impacts of farmers-herders conflict on livelihoods of farming households in Nigeria’s middle-belt region. Moroccan Journal of Agricultural Science 2(1): 14-24
  • Wang, A., R. A. Nianogo, and O. A. Arah. 2017. G-computation of average treatment effects on the treated and the untreated. BMC Medical Research Methodology 17(3): 1-5.
  • World Bank. 2012.World Development Report 2012: Gender equality and Development. The World Bank. Washington DC, USA.
Year 2022, Volume: 32 Issue: 2, 301 - 313, 29.12.2022
https://doi.org/10.18615/anadolu.1225655

Abstract

References

  • AfDB. 2015. Africa Competitiveness Report 2015. Retrieved on 13/06/2021 from http://www3.weforum.org/docs/ WEF_ACR_ 2015/Africa_Competitiveness_Report_ 2015.
  • Aguilar, A., E. Carranza, M. Goldstein, T. Kilic, and G. Oseni. 2014. Decomposition of gender differentials in agricultural productivity in Ethiopia. Policy Research Working Paper. No.6764. The World Bank.
  • Amaefula, C., C.A. Okezie, and R. Mejeha. 2012. Risk attitude and insurance: A causal analysis. American Journal of Economics 2(3): 26-32
  • Blinder, A.S. 1973.Wage discrimination: reduced form and structural estimates. Journal of Human Resources 8(4):436-455.
  • Croppenstedt, A., M. Goldstein, and N. Rosas. 2013. Gender and agriculture: Inefficiencies, segregation, and low productivity traps. Policy Research Working Paper. No.6370, The World Bank. de Janvry, and E. Sadoulet. 2010. Agriculture for development in Sub-Saharan Africa: An update. African Journal of Agriculture and Resource Economics 5 (1): 194-204.
  • Dillon, B., and C. B. Barrett. 2014. Agricultural factor markets in Sub-Saharan Africa: An updated view with formal tests for market failure. Policy Research Working Paper. No.7117. The World Bank.
  • FAO. 2015.The State of food insecurity in the world. Retrieved on 13/06/2021 from http://www.fao.org/ 3/ai4646e.pdf.
  • Gebre, G. G., H. Isoda, D.B., Rahut, Y. Amekawa, and H. Nomura. 2021. Gender differences in agricultural productivity: evidence from maize farm households in southern Ethiopia. GeoJournal 86:843-864.
  • Kilic, T., A. Palacios-Lopez, and M. Goldstein. 2013. Caught in a productivity trap: A distributional perspective on gender differences in Malawian agriculture. Policy Research Working Paper. No. 6381. The World Bank.
  • Lokshin, M. and Z. Sajaia. 2011. Impact of interventions on discrete outcomes: Maximum likelihood estimation of the binary choice models with binary endogenous regressors. The Stata Journal 11(3): 11-21.
  • Marwa, B. 2014. Estimation of gender wage differentials in Egypt using Oaxaca Decomposition technique. pp. 1-26. In: 34th annual MEEA meeting in conjunction with the Allied Social Science Association (ASSA). 3-6 January. Philadelphia, USA.
  • Mukasa, A. N., and A. O. Salami. 2015. Gender productivity differentials among smallholder farmers in Africa: A cross country comparison. Working Paper Series. No. 231. African Development Bank. Abidjan, Coˆte d’Ivoire.
  • Oaxaca, R. 1973. Male-female wage differentials in urban labor markets. International Economic Review 9:693-709.
  • Odunlami, H. O., P. A. Okuneye, A. M. Shittu, A. R. Sanusi, I. O. Elegbede, and F. Kies. 2016. Assessment of gender differentials in economic and technical efficiency of poultry egg, a case study in Lagos State, Nigeria. Sustainability, Agri, Food and Environmental Research 4(1): 50-60.
  • Olakojo, S.A. 2017. Gender gap in agricultural productivity in Nigeria: A commodity level analysis. Economics of Agriculture 64(2):415-435
  • Oseni, G., P. Corral, M. Goldstein, and P. Winters 2015. Explaining gender differentials in agricultural production in Nigeria. Agricultural Economics 46(3):285-310.
  • Revathy, N., M. Thilagavathi, and A. Surendran. 2020. A comparative analysis of rural-urban migrants and non-migrants in the selected region of Tamil Nadu, India. Economic Affairs 65(1): 23-30.
  • Sadiq, M.S., I.P. Singh, and M.M. Ahmad. 2020a. Rice yield differentials between IFAD participating and non-participating farmers in Nigeria’s Niger State. Economic Affairs 65(4): 01-15.
  • Sadiq, M. S., I. P. Singh, M. M. Ahmad, and V. Kumari. 2020b. Effect of gender on income gap among fish farmers in Nigeria’s Kogi State. Atatürk Üniversitesi Kadın Araştırmaları Dergisi (Atatürk University Journal of Woman’s Studies) 2(2): 27-45
  • Sadiq, M. S., I. P. Singh, M. M. Ahmad, and M. O. Orifa. 2021.Impacts of farmers-herders conflict on livelihoods of farming households in Nigeria’s middle-belt region. Moroccan Journal of Agricultural Science 2(1): 14-24
  • Wang, A., R. A. Nianogo, and O. A. Arah. 2017. G-computation of average treatment effects on the treated and the untreated. BMC Medical Research Methodology 17(3): 1-5.
  • World Bank. 2012.World Development Report 2012: Gender equality and Development. The World Bank. Washington DC, USA.
There are 22 citations in total.

Details

Primary Language English
Subjects Agricultural Engineering (Other)
Journal Section Makaleler
Authors

Mohammed Sanusi Sadıq This is me 0000-0003-4336-5723

Invinder Paul Sıngh This is me 0000-0002-1886-5956

Muhammad Makarfi Ahmad This is me 0000-0003-4565-0683

Sarki Mahmoud This is me 0000-0003-3583-0234

Publication Date December 29, 2022
Submission Date May 30, 2022
Published in Issue Year 2022 Volume: 32 Issue: 2

Cite

APA Sadıq, M. S., Sıngh, I. P., Ahmad, M. M., Mahmoud, S. (2022). Farm Economic Efficiency Gap Due to Gender Discrimination-Evidence from Usaid Markets II Programme Participating Small-Scale Farmers in Kano State of Nigeria. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi, 32(2), 301-313. https://doi.org/10.18615/anadolu.1225655
AMA Sadıq MS, Sıngh IP, Ahmad MM, Mahmoud S. Farm Economic Efficiency Gap Due to Gender Discrimination-Evidence from Usaid Markets II Programme Participating Small-Scale Farmers in Kano State of Nigeria. ANADOLU. December 2022;32(2):301-313. doi:10.18615/anadolu.1225655
Chicago Sadıq, Mohammed Sanusi, Invinder Paul Sıngh, Muhammad Makarfi Ahmad, and Sarki Mahmoud. “Farm Economic Efficiency Gap Due to Gender Discrimination-Evidence from Usaid Markets II Programme Participating Small-Scale Farmers in Kano State of Nigeria”. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi 32, no. 2 (December 2022): 301-13. https://doi.org/10.18615/anadolu.1225655.
EndNote Sadıq MS, Sıngh IP, Ahmad MM, Mahmoud S (December 1, 2022) Farm Economic Efficiency Gap Due to Gender Discrimination-Evidence from Usaid Markets II Programme Participating Small-Scale Farmers in Kano State of Nigeria. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi 32 2 301–313.
IEEE M. S. Sadıq, I. P. Sıngh, M. M. Ahmad, and S. Mahmoud, “Farm Economic Efficiency Gap Due to Gender Discrimination-Evidence from Usaid Markets II Programme Participating Small-Scale Farmers in Kano State of Nigeria”, ANADOLU, vol. 32, no. 2, pp. 301–313, 2022, doi: 10.18615/anadolu.1225655.
ISNAD Sadıq, Mohammed Sanusi et al. “Farm Economic Efficiency Gap Due to Gender Discrimination-Evidence from Usaid Markets II Programme Participating Small-Scale Farmers in Kano State of Nigeria”. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi 32/2 (December 2022), 301-313. https://doi.org/10.18615/anadolu.1225655.
JAMA Sadıq MS, Sıngh IP, Ahmad MM, Mahmoud S. Farm Economic Efficiency Gap Due to Gender Discrimination-Evidence from Usaid Markets II Programme Participating Small-Scale Farmers in Kano State of Nigeria. ANADOLU. 2022;32:301–313.
MLA Sadıq, Mohammed Sanusi et al. “Farm Economic Efficiency Gap Due to Gender Discrimination-Evidence from Usaid Markets II Programme Participating Small-Scale Farmers in Kano State of Nigeria”. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi, vol. 32, no. 2, 2022, pp. 301-13, doi:10.18615/anadolu.1225655.
Vancouver Sadıq MS, Sıngh IP, Ahmad MM, Mahmoud S. Farm Economic Efficiency Gap Due to Gender Discrimination-Evidence from Usaid Markets II Programme Participating Small-Scale Farmers in Kano State of Nigeria. ANADOLU. 2022;32(2):301-13.
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