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Is labour a major determinant of yield gaps in sub-Saharan Africa? A study of cereal-based production systems in Southern Ethiopia

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  • Silva, João Vasco
  • Baudron, Frédéric
  • Reidsma, Pytrik
  • Giller, Ken E.

Abstract

We investigated the role of labour in explaining the yield gap of cereals at both crop and farm levels on smallholder farms in Southern Ethiopia. A household survey containing detailed information of labour use at crop and farm level of ca. 100 farms in a maize-based system around Hawassa and ca. 100 farms in a wheat-based system around Asella was used for this purpose. Stochastic frontier analysis was combined with the principles of production ecology to decompose maize and wheat yield gaps. Actual maize and wheat yields were on average 1.6 and 2.6 t ha−1, respectively, which correspond to 23 and 26% of the water-limited yield (Yw) of each crop. For both crops, nearly half of the yield gap was attributed to the technology yield gap, indicating sub-optimal crop management to achieve Yw even for the farmers with the highest yields. The efficiency yield gap was ca. 20% of Yw for both crops; it was negatively associated with sowing date and with the proportion of women's labour used for sowing in the case of maize but with the proportion of hired labour used for sowing and weed control in the case of wheat. The resource yield gap was less than 10% of Yw for both crops due to small differences in input use between highest- and lowest-yielding farms. The contribution of capital and farm power availability to crop yields, input use and labour use was analysed at the farm level. Labour calendars showed that crops cultivated in Hawassa were complementary, with peak labour occurring at different times of the year. By contrast, crops cultivated in Asella competed strongly for labour during sowing, hand-weeding and harvesting months, resulting in potential trade-offs at farm level. Oxen ownership was associated with capital availability, but not farm power in Hawassa and with both capital availability and farm power in Asella. Farmers with more oxen applied more nitrogen (N) to maize in Hawassa and cultivated more land in Asella, which is indicative of an intensification pathway in the former and an extensification pathway in the latter. Differences in land:labour ratio and in the types of crops cultivated explained the different strategies used in the two sites. In both sites, although gross margin per unit area increased linearly with increasing crop yield and farm N productivity, gross margin per labour unit increased up to an optimal level of crop yield and farm N productivity after which no further response was observed. This suggests that narrowing the yield gap may not be economically rational in terms of labour productivity. We conclude that labour (and farm power) is not a major determinant of maize yield gaps in Hawassa, but is a major determinant of wheat yield gaps in Asella.

Suggested Citation

  • Silva, João Vasco & Baudron, Frédéric & Reidsma, Pytrik & Giller, Ken E., 2019. "Is labour a major determinant of yield gaps in sub-Saharan Africa? A study of cereal-based production systems in Southern Ethiopia," Agricultural Systems, Elsevier, vol. 174(C), pages 39-51.
  • Handle: RePEc:eee:agisys:v:174:y:2019:i:c:p:39-51
    DOI: 10.1016/j.agsy.2019.04.009
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    Citations

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    Cited by:

    1. Banchayehu Tessema Assefa & Jordan Chamberlin & Pytrik Reidsma & João Vasco Silva & Martin K. Ittersum, 2020. "Unravelling the variability and causes of smallholder maize yield gaps in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(1), pages 83-103, February.
    2. Giller, Ken E. & Andersson, Jens & Delaune, Thomas & Silva, João Vasco & Descheemaeker, Katrien & van de Ven, Gerrie & Schut, Antonius G.T. & van Wijk, Mark & Hammond, Jim & Hochman, Zvi & Taulya, God, 2022. "IFAD Research Series 83: The future of farming: who will produce our food?," IFAD Research Series 322005, International Fund for Agricultural Development (IFAD).
    3. Zhiqi Sun & Ruifa Hu & Yu Hong, 2022. "Does yield gap still matter? Evidence from rice production in China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(3), pages 829-840, June.
    4. Kotir, Julius H. & Bell, Lindsay W. & Kirkegaard, John A. & Whish, Jeremy & Aikins, Kojo Atta, 2022. "Labour demand – The forgotten input influencing the execution and adoptability of alternative cropping systems in Eastern Australia," Agricultural Systems, Elsevier, vol. 203(C).
    5. Mihretie, Fekremariam Asargew & Tsunekawa, Atsushi & Haregeweyn, Nigussie & Adgo, Enyew & Tsubo, Mitsuru & Masunaga, Tsugiyuki & Meshesha, Derege Tsegaye & Ebabu, Kindiye & Nigussie, Zerihun & Sato, S, 2022. "Exploring teff yield variability related with farm management and soil property in contrasting agro-ecologies in Ethiopia," Agricultural Systems, Elsevier, vol. 196(C).
    6. Marinus, Wytze & Descheemaeker, Katrien K.E. & van de Ven, Gerrie W.J. & Waswa, Wycliffe & Mukalama, John & Vanlauwe, Bernard & Giller, Ken E., 2021. "“That is my farm” – An integrated co-learning approach for whole-farm sustainable intensification in smallholder farming," Agricultural Systems, Elsevier, vol. 188(C).
    7. Yevessé Dandonougbo, 2022. "Impact of non-farm work on agricultural productivity: Empirical evidence from rural smallholder," Economics Bulletin, AccessEcon, vol. 42(2), pages 458-475.

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