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Record number 534473
Title Feeding the world while reducing farmer poverty? Analysis of rice relative yield and labour productivity gaps in two Beninese villages
Author(s) Paresys, Lise; Saito, Kazuki; Dogliotti, Santiago; Malézieux, Eric; Huat, Joël; Kropff, Martin J.; Rossing, Walter A.H.
Source European Journal of Agronomy 93 (2018). - ISSN 1161-0301 - p. 95 - 112.
DOI http://dx.doi.org/10.1016/j.eja.2017.10.009
Department(s) Farming Systems Ecology
CS Concernpersoneel WUConcernpersoneel WU
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2018
Availibility Full text available from 2019-08-01
Keyword(s) Labour productivity gap - Labour-saving technologies - Management practices - Rice - Yield gap
Abstract Improvements in agricultural land and labour productivity are needed to meet the growing food demand and reduce farmer poverty in sub-Saharan Africa. The objectives of this study were to (i) quantify variation in labour inputs, yield and labour productivity among rice fields; (ii) elicit factors associated with this variation; and (iii) identify opportunities for improving yield and labour productivity. The study was carried out in two contrasting Beninese villages: Zonmon in the south and Pelebina in the north-west. In Zonmon 82 irrigated rice fields were surveyed during the 2013 and 2014 dry seasons. In Pelebina 50 rainfed lowland rice fields were surveyed over three rainy seasons (2012–2014). Data on farmer field management practices and field conditions were recorded through interviews with farmers, on-farm observations and measurements. Stepwise regression analyses were used to identify variables associated with variation in yield, labour inputs and labour productivity. Average yields were 4.8 ± 2.0 t ha−1 in Zonmon and 2.3 ± 1.2 t ha−1 in Pelebina. Average labour productivity, however, was larger in Pelebina (17 kg of paddy rice person-day−1) than in Zonmon (8 kg of paddy rice person-day−1). Relative yield gaps (43–48%) and labour productivity gaps (59–63%) were similar in the villages. There was no trade-off between yield and labour or labour productivity within the villages, suggesting that in many cases rice yields can be increased without additional labour inputs. The major labour-demanding farming operations were bird scaring in Zonmon and harvesting and threshing in Pelebina. We identified opportunities to improve rice yield and labour productivity, given current farmer knowledge and resource endowment. Based on the statistical models fitted per village, increasing the average hill density would result in up to 1.2 t ha−1 more yield, and up to 4 kg person-day−1 greater labour productivity for Zonmon. Increasing the average field size and avoiding rice shading would result in up to 0.8 t ha−1 more yield, and up to 17.1 kg person-day−1 greater labour productivity for Pelebina. Further enhancing yield and labour productivity will require (i) introducing small-scale mechanisation and other labour-saving innovations, in particular for labour-demanding farming operations such as bird scaring in Zonmon and harvesting and threshing in Pelebina; and (ii) combining analyses of yields and labour productivities at field level with detailed analyses of labour use and labour productivity at farm level. We found that, on average, one hectare in Zonmon contributed twice as much to Beninese rice production than one hectare in Pelebina but with a two times smaller reward for farmer labour. This paradox of higher yields but lower labour productivity in such different rice growing environments and farming systems should be addressed in elaborating development policies.
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