Impact of women’s share of income on selected value chains expenditure in rural south-east Nigeria

Patience Opata Ifeyinwa Opata, Adaku Bridget Ezeibe, Umaru Ibrahim, Chukwuma Otum Ume

Abstract


There exists a complex web of value chain expenditures in production and consumption of food by rural farm households. Men and women contribute differently to these expenditures. Addressing zero hunger in the regions with deeply entrenched gender norms requires gender responsiveness, uncovering how best to sustain women’s contribution in the selected value chains, as women contribute a greater proportion of gender involved in these web of chains. We used data from a sample of 400 households constituting 2520 members from November 2016 to April 2017 and disaggregated by gender to determine the impact of women’s and men’s share of income on the performance of selected value chain activities in southeast Nigeria using a bargaining model of household behaviour. We found that increasing women’s share of incomes raises the budget share of food preparation, planting, weeding, processing, and storage while increasing men’s share of income raised the budget share of clearing and cultivation. Our results suggest that policies aimed at increasing expenditure on any of the value chains should focus on instruments targeting the gender that will more likely spend their money on the value chains activity concerned. This will address gender inequality, food insecurity and poverty among rural farm households.


Keywords


gender relations

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References


Adamu, T. (2015). Profit Efficiency among Rain-Fed Rice Farmers in Northern. Journal of Biology, Agriculture and Healthcare, 5(8), 113–120.

Agadjanian, V., & Hayford, S. R. (2017). Men ’ s Migration , Women ’ s Autonomy , and Union Dissolution in Rural Mozambique. https://doi.org/10.1177/0192513X17698184

AgroNigeria. (2017). NSPRI SAYS Nigeria records 2.7 trillion deficit annually from post harvest losses.

Akresh, R., Chen, J., & Moore, C. (2016). Altruism , Cooperation , and Efficiency : Agricultural Production in Polygynous Households. E c o n o m i c D e v e l o p m e n t a n d C u l t u r a l C h a n g e, (2001), 661–696. Retrieved from http://www.journals.uchicago.edu/t-and-c

Aromolaran, A. B. (2004). Household income , women Õ s income share and food calorie intake in South Western Nigeria. 29(27), 507–530. https://doi.org/10.1016/j.foodpol.2004.07.002

Aromolaran, A. B. (2010). Does increase in women ’ s income relative to men ’ s income increase food calorie intake in poor households ? Evidence from Nigeria. Agricultural Economics, 41, 239–249. https://doi.org/10.1111/j.1574-0862.2010.00442.x

Ayoola, J. B. (2014). Comparative economic analysis of tomato ( Lycopersicon esculenta ) under irrigation and rainfed systems in selected local government areas of. Journal of Development and Agricultural Economics, 6(11), 466–471. https://doi.org/10.5897/JDAE2013.0572

Barr, A., Dekker, M., Janssens, W., Kebede, B., & Kramer, B. (2018). Cooperation in Polygynous Households. (451).

Bernard, T., Doss, C., Hidrobo, M., Hoel, J., & Kieran, C. (2020). Ask me why : Patterns of intrahousehold decision-making. World Development, 125, 104671. https://doi.org/10.1016/j.worlddev.2019.104671

CTA Strategy. (2016). Sowing Innovation , Harvesting Prosperity.

Diiro, G. M., Seymour, G., Kassie, M., Muricho, G., & Muriithi, W. (2018). Women ’ s empowerment in agriculture and agricultural productivity : Evidence from rural maize farmer households in western Kenya. 1–27.

Doss, C. (2016). Women and Agricultural Productivity : What Does the Evidence Tell Us? Retrieved from http://www.econ.yale.edu/~egcenter

Doss, C., Meinzen-Dick, R., Quisumbing, A., & Theis, S. (2018). Women in agriculture: Four myths. Global Food Security, 16(July 2017), 69–74. https://doi.org/10.1016/j.gfs.2017.10.001

Enete, A. A., & Amusa, T. A. (2010). Determinants of women’s contribution to farming decisions in cocoa based agroforestry households of Ekiti, State, Nigeria. Field Actions Science Reports, 4(October 2012), 1–6. https://doi.org/10.1007/s10460-015-9587-x

FAO. (2010). Gender dimensions of agricultural and rural employment: differentiated pathways out of poverty. Status, trends and gaps. In Documentos de …. https://doi.org/ISBN 978-92-5-106583-9

Felix, M., Judith, M., Jonathan, M., & Munashe, S. (2013). Modeling a Small Farm Livelihood System using Linear Programming in. Research Journal of Management Sciences, 2(5), 20–23.

HAUSMAN, J. A. (1978). Specification tests in Econometrics by. Econometrica, 46(6), 1251–1271. Retrieved from http://www.jstor.org/stable/1913827

Hoddinott, J., & Haddad, L. (1995). Does Female Income Share Influence Household Expenditures? Evidence From Côte D’Ivoire. Oxford Bulletin of Economics and Statistics, 57(1), 77–96. https://doi.org/10.1111/j.1468-0084.1995.tb00028.x

National Population Commission. Nigerian population, state by state analysis. , (2007).

Okon, U. E., Enete, A. A., & Bassey, N. E. (2019). Technical efficiency and its determinants in garden egg ( Solanum spp ) production in Uyo Metropolis , Akwa Ibom State Technical Eficiency and its Determinants in Garden Egg ( Solanum Spp ) Production In Uyo Metropolis , Akwa Ibom State , Nigeria. (1), 0–6.

Opata, P., & Ezeibe, A. (2018). Revenue Drivers of Women Labour in Crop Production in South East Nigeria. Journal of Agricultural Extension, 22(3), 149–160.

Palacios-Lopez, A., Christiaensen, L., & Kilic, T. (2017). How much of the labor in African agriculture is provided by women? Food Policy, 67, 52–63. https://doi.org/10.1016/j.foodpol.2016.09.017

Paula, A., Campos, D. O., Covarrubias, K. A., & Patron, A. P. (2016). How Does the Choice of the Gender Indicator Affect the Analysis of Gender Differences in Agricultural Productivity ? Evidence from Uganda. WORLD DEVELOPMENT, 77, 17–33. https://doi.org/10.1016/j.worlddev.2015.08.008

Usman, J. M., Adeboye, J. A., Oluyole, K. A., & Ajijola, S. (2012). Use of information and communication technologies by rural farmers in Oluyole local government area of Oyo State, Nigeria. Journal of Stored Products and Postharvest Research, 3(11), 156–159. https://doi.org/10.5897/JSPPR12.008

Valérie Lechene, & Preston, I. (2005). H ousehold nash equilibrium with Voluntarily Contributed Public Goods. London.

White, H. (1980). A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity. Econometrica, 48(4), 817–838. Retrieved from http://www.jstor.org/about/terms.html.


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