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Adoption and intensity of adoption of conservation farming practices in Zambia

Adoption and intensity of adoption of conservation farming practices in Zambia

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2.3. <strong>Adoption</strong> <strong>of</strong> CF <strong>in</strong> <strong>Zambia</strong><br />

Despite its promotion over the last fifteen years, <strong>adoption</strong> <strong>of</strong> CF <strong>in</strong> <strong>Zambia</strong> is relatively<br />

limited. 7 Haggblade <strong>and</strong> Tembo (2003) report that 20% <strong>of</strong> CF farmers <strong>in</strong> the 2002/3 season<br />

were spontaneous adopters, with the 80% majority practic<strong>in</strong>g CF as a condition for receiv<strong>in</strong>g<br />

subsidised <strong>in</strong>put packages. CFU reports that around 170,000 farmers had adopted CF on part<br />

or all <strong>of</strong> their l<strong>and</strong> <strong>in</strong> 2011.<br />

<strong>Adoption</strong> tends to be <strong>in</strong>cremental <strong>and</strong> partial <strong>in</strong> <strong>Zambia</strong>. Umar et al. (2011) found that almost<br />

all farmers (out <strong>of</strong> 129 <strong>in</strong>terviewed) practice both conventional <strong>and</strong> <strong>conservation</strong> <strong>farm<strong>in</strong>g</strong> on<br />

different plots. Haggblade <strong>and</strong> Tembo (2003) reported that 0.25 ha <strong>of</strong> carefully managed<br />

bas<strong>in</strong>-plant<strong>in</strong>g CF can provide a m<strong>in</strong>imal food security safety net for a family <strong>of</strong> four.<br />

Primary constra<strong>in</strong>ts to <strong>adoption</strong> <strong>in</strong> <strong>Zambia</strong> are the use <strong>of</strong> crop residues for other purposes,<br />

labor constra<strong>in</strong>ts <strong>and</strong> the limited potential to grow cover crops dur<strong>in</strong>g the dry season. Of these<br />

three constra<strong>in</strong>ts, a number <strong>of</strong> authors argue that labor constra<strong>in</strong>t is the major constra<strong>in</strong>t to CF<br />

<strong>adoption</strong> <strong>in</strong> <strong>Zambia</strong> (Umar et al. 2011; Baudron et al. 2007; Haggblade <strong>and</strong> Tembo 2003).<br />

The labor constra<strong>in</strong>t manifests itself dur<strong>in</strong>g l<strong>and</strong> preparation <strong>and</strong> weed<strong>in</strong>g. Preparation <strong>of</strong> the<br />

plant<strong>in</strong>g bas<strong>in</strong>s is highly labor <strong>in</strong>tensive <strong>and</strong> the hir<strong>in</strong>g <strong>of</strong> labor is rarely feasible due to<br />

unaffordable daily wages at peak times (also because hir<strong>in</strong>g is not widely accepted culturally)<br />

(Baudron et al. 2007; Mazvimavi 2011). Weed<strong>in</strong>g requirements tend to be higher on CF plots<br />

(<strong>in</strong> the absence <strong>of</strong> herbicide use) creat<strong>in</strong>g another labor constra<strong>in</strong>t (Umar et al. 2011).<br />

F<strong>in</strong>d<strong>in</strong>gs related to l<strong>and</strong> <strong>and</strong> labor are supported by Chomba (2004). His study, based on<br />

nationwide post-harvest (1998/99-1999/2000) <strong>and</strong> supplemental household surveys<br />

(1999/2000) cover<strong>in</strong>g 2,524 farmers <strong>in</strong> Eastern, Southern, Central <strong>and</strong> Lusaka Prov<strong>in</strong>ces,<br />

found that household size <strong>and</strong> l<strong>and</strong> size positively <strong>in</strong>fluenced <strong>adoption</strong> rates <strong>of</strong> CF dur<strong>in</strong>g the<br />

1998-2000 seasons. He also found that distance to markets <strong>and</strong> extension services were<br />

important. This may be particularly so given that this study uses data collected early <strong>in</strong> the<br />

promotion <strong>of</strong> CF <strong>in</strong> <strong>Zambia</strong>.<br />

Nyanga et al. (2011) surveyed 469 farmers <strong>in</strong> 12 districts (<strong>in</strong> Southern, Central, Western, <strong>and</strong><br />

Eastern prov<strong>in</strong>ces) <strong>in</strong> an effort to underst<strong>and</strong> their perceptions <strong>of</strong> climate change <strong>and</strong><br />

attitud<strong>in</strong>al <strong>and</strong> knowledge-based drivers <strong>of</strong> CF <strong>adoption</strong>. 8 The authors <strong>of</strong> this ma<strong>in</strong>ly<br />

qualitative study documented a widespread awareness <strong>of</strong> <strong>in</strong>creased climate variability. There<br />

was a positive correlation between perception <strong>of</strong> <strong>in</strong>creased climate variability <strong>and</strong> the use <strong>of</strong><br />

CF, but no correlation between attitudes towards climate change itself <strong>and</strong> CF. Interest<strong>in</strong>gly,<br />

the authors found a widespread expectation <strong>of</strong> subsidy, <strong>in</strong>put packages or material rewards<br />

for uptake <strong>of</strong> CF, which they argued has developed as a result <strong>of</strong> previous program’s use <strong>of</strong><br />

such <strong>in</strong>centives. This is concordant with a f<strong>in</strong>d<strong>in</strong>g <strong>of</strong> Baudron et al. (2007), who reported that<br />

50% <strong>of</strong> farmers dis-adopt CF if they no longer qualify for such <strong>in</strong>centives.<br />

Most <strong>of</strong> these studies on the <strong>adoption</strong> <strong>of</strong> CF <strong>in</strong> <strong>Zambia</strong> rely on small samples purposefully<br />

selected from regions where CF was promoted, which risks confound<strong>in</strong>g the effects <strong>of</strong><br />

various <strong>in</strong>terventions on <strong>adoption</strong>. The studies that rely on cross sectional data cannot control<br />

for potential endogeneity caused by time-<strong>in</strong>variant unobservable household characteristics<br />

that effect <strong>adoption</strong>. A limited number <strong>of</strong> studies that use multi-year data either fail to make<br />

7<br />

Throughout the paper, we use the term CA when referr<strong>in</strong>g to the general literature, but CF for the case <strong>in</strong><br />

<strong>Zambia</strong>.<br />

8<br />

Nyanga et al. (2011) use a proxy <strong>in</strong>dicator for <strong>adoption</strong> <strong>of</strong> CA <strong>and</strong> consider any farmer with some area under<br />

m<strong>in</strong>imum tillage (both plant<strong>in</strong>g bas<strong>in</strong>s <strong>and</strong> animal draft power ripp<strong>in</strong>g) as a “CA adopter.”<br />

5

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