2018
DOI: 10.1007/s12571-018-0777-4
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Does minimum tillage improve the livelihood outcomes of smallholder farmers in Zambia?

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Cited by 38 publications
(38 citation statements)
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“…Beyond the aspect of crop productivity, a widely recognized advantage of no-or reduced tillage is the elimination of time-and energy-consuming ploughing 5 . However, studies 46,47 have shown that increases in profitability through cost reductions that could be realized with CA are usually small in the case of smallholder farmers, in contrast with observations for large, mechanized farms. On the other hand, it should be noted that our meta-analysis could not investigate possible crop yield benefits from CA associated with more timely sowing opportunities leading to better early crop establishment 48 .…”
Section: Discussionmentioning
confidence: 94%
“…Beyond the aspect of crop productivity, a widely recognized advantage of no-or reduced tillage is the elimination of time-and energy-consuming ploughing 5 . However, studies 46,47 have shown that increases in profitability through cost reductions that could be realized with CA are usually small in the case of smallholder farmers, in contrast with observations for large, mechanized farms. On the other hand, it should be noted that our meta-analysis could not investigate possible crop yield benefits from CA associated with more timely sowing opportunities leading to better early crop establishment 48 .…”
Section: Discussionmentioning
confidence: 94%
“…One category within the economics of CA focuses on the drivers of CA adoption (Knowler and Bradshaw 2007; Andersson and D'Souza, Andersson and D'Souza 2014; Arslan et al 2014; Grabowski et al 2016). Studies show that the factors influencing CA adoption include high labor demand during weeding time caused by reduced tillage (Giller et al 2009; Pannell, Llewellyn, and Corbeels 2014; Lalani et al 2016), a lack of knowledge about CA and its benefits (Lalani et al 2016), the time lag between the adoption and realization of benefits (Thierfelder et al 2017; Ngoma 2018), and competition for resources (Baudron et al 2014; Tessema et al 2015). The studies related to this body of the literature have also tried to delve into the debate surrounding the suitability, effectiveness, and potential benefits of CA in SSA (Giller et al 2009; Rodriguez et al 2017).…”
Section: Introductionmentioning
confidence: 99%
“…17 Ngoma (2018) and Abdulai and Huffman (2014) represent interesting examples of the recent literature applying endogenous switching regression, whereas Ogundari and Bolarinwa (2018) present a meta-analysis of technology adoption based on former analyses that applied the endogenous switching regression model. 18 Wolfersberger et al (2015) provide an analysis applying a multiple regime regression methodology to the deforestation question, but their approach differs in various aspects from the analysis carried out in this paper, two of which are: (1) in our model, the individual is a household as opposed to a country (microlevel versus macro-level analysis); and (2) Wolfersberger et al (2015) consider a different process, in which the 'switch' occurs when a country transitions from decreasing to increasing forested areas from one time period to the next.…”
Section: Econometric Modelmentioning
confidence: 99%
“… 17 Ngoma (2018) and Abdulai and Huffman (2014) represent interesting examples of the recent literature applying endogenous switching regression, whereas Ogundari and Bolarinwa (2018) present a meta-analysis of technology adoption based on former analyses that applied the endogenous switching regression model.…”
mentioning
confidence: 99%