25.02.2017 Views

AFRICA AGRICULTURE STATUS REPORT 2016

AASR-report_2016-1

AASR-report_2016-1

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Table 5.2: Correlation between factors and cereal output and yield by regional group<br />

Pearson Correlation Coefficient<br />

Cereal output<br />

Cereal yield<br />

COMESA SADC ECOWAS COMESA SADC ECOWAS<br />

Agricultural inputs and factors<br />

Fertilizer consumption (kg/ha) 0.382** -0.204 -0.067 0.359** 0.051 0.601**<br />

Machinery (tractors/100 km 2 of arable land) -0.153* -0.446** 0.056 0.610** -0.084 0.307**<br />

Land under cereal production (1,000 ha) 0.851** 0.885** 0.932** -0.262** 0.311** 0.019<br />

Rural Population (1,000) 0.778** 0.765** 0.825* * -0.341** 0.222** 0.136*<br />

Source: IBRD/World Bank (2015)<br />

The slow rate of growth in crop yield in SSA,<br />

despite the significant increases in the release<br />

of improved varieties, may be due to minimal<br />

adoption of complementary technologies, such<br />

as fertilizer and improved crop management<br />

practices. Moreover, while not reflected in average<br />

yields, the increased use of improved varieties<br />

may still have contributed to increased efficiency<br />

in using factors of production (IFAD, <strong>2016</strong>).<br />

Is output expansion a result of agricultural<br />

intensification or extensification?<br />

Evidence suggests that, unlike the agricultural<br />

output growth path observed for Asia in the<br />

early days of the Green Revolution, which has<br />

intensified in recent decades, the increase in<br />

agricultural output in SSA has not been achieved<br />

through intensification. That is, the efficient use<br />

of non-labor, non-land inputs (such as improved<br />

crop varieties and fertilizers), but rather through<br />

extensification, relying on the expansion in<br />

cropped land area, and the use of manual labor 5 .<br />

Figure 5.5 illustrates the cases of SSA and Asia,<br />

using the cereal yields indicators referred to before<br />

and the cereal area planted index (1961 = 100).<br />

Examining this analysis across the three subregions<br />

of SSA shows that SADC and ECOWAS<br />

countries experience lower and slower yield<br />

growth and have a relatively faster land area<br />

expansion than COMESA countries (Figure 5.6)<br />

Under a situation where fertilizer use remained<br />

very low, output growth has relied almost<br />

exclusively on cropped area extensification.<br />

Results in Figure 5.6 support this conclusion for<br />

the SADC and ECOWAS countries. In effect, the<br />

results show that along with output growth, there<br />

was an increase in land area cultivated and a<br />

stagnation in yield. This was less so for COMESA<br />

countries, where, although levels of fertilizer use<br />

per hectare were relatively low, intensification<br />

(including efficient use of fertilizer, improved<br />

seeds, agricultural practices, etc.) seems to have<br />

played a relatively more important role resulting in<br />

relatively higher yields.<br />

Analysis of inputs and factors impacting<br />

cereal output and yields<br />

For SSA as a whole, correlations of cereal output<br />

and fertilizer consumption, land area under cereals,<br />

and size of the rural populations in the different<br />

countries reveal a strong positive and statistically<br />

significant correlation between land area planted<br />

and output (r = 0.909, 1 percent) and with rural<br />

population size (r = 0.789, 1 percent). This was<br />

not the case with fertilizer consumption, which had<br />

an insignificant correlation with output (r = 0.030).<br />

Overall, this agrees with the previous analysis<br />

that output expansion has essentially been driven<br />

by expansion in cropped land area and reliance<br />

on abundant manual labor. The use of improved<br />

seeds also increased in many countries, but<br />

remains insufficient to boost productivity, unless<br />

combined with complementary technologies,<br />

especially fertilizer in low-fertility African soils.<br />

Looking at results by regional economic group,<br />

fertilizer was statistically correlated with cereal<br />

yield in COMESA and ECOWAS countries, but<br />

not in SADC countries (Table 5.3). Agricultural<br />

machinery was positively associated with<br />

agricultural productivity, but yielded a small but<br />

negative effect on aggregate output 6 . Overall and<br />

despite some regional differences, agricultural<br />

productivity and intensification at the household<br />

level is extremely low in SSA.<br />

5<br />

Evidence, as<br />

discussed in<br />

the previous<br />

section,<br />

indicates that<br />

while the use<br />

of modern<br />

varieties in key<br />

crops have<br />

increased in<br />

SSA, most<br />

countries are<br />

still lagging<br />

behind.<br />

Disparities also<br />

exist in fertilizer<br />

use and overall<br />

increase in<br />

the levels of<br />

use have been<br />

unimpressive.<br />

6<br />

The signs<br />

of these<br />

relationships<br />

hold for the<br />

sample of all<br />

countries. The<br />

relationship was<br />

not statistically<br />

significant for<br />

cereal output<br />

(ECOWAS) and<br />

cereal yield<br />

(SADC). These<br />

results should<br />

be examined<br />

with caution,<br />

due to limited<br />

variation in<br />

the tractors<br />

variables and<br />

the limited<br />

sample size.<br />

112 <strong>AFRICA</strong> <strong>AGRICULTURE</strong> <strong>STATUS</strong> <strong>REPORT</strong> <strong>2016</strong>

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!