Crop production data and forecasts system in ... - Foodnet - cgiar
Crop production data and forecasts system in ... - Foodnet - cgiar
Crop production data and forecasts system in ... - Foodnet - cgiar
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5 DATA CREDIBILITY<br />
5.1 Ug<strong>and</strong>a Bureau of Statistics <strong>and</strong> M<strong>in</strong>istry of Agriculture, Animal<br />
Industry <strong>and</strong> Fisheries<br />
UBOS with MAAIF produce annual crop <strong>production</strong> statistics that are <strong>in</strong>cluded <strong>in</strong> the<br />
Statistical Abstract. UBOS have also produced a separate <strong>Crop</strong> Survey Module <strong>in</strong><br />
1995/6 <strong>and</strong> 1999/2000. Construction of Statistical Abstract <strong>production</strong> figures is<br />
discussed first followed by the <strong>Crop</strong> Survey Modules.<br />
5.1.1 Generation of <strong>Crop</strong> Production Statistics for the Statistical<br />
Abstract<br />
National Level<br />
The current method of calculat<strong>in</strong>g annual crop <strong>production</strong> figures (<strong>in</strong>cluded <strong>in</strong><br />
sections 3 <strong>and</strong> 4) beg<strong>in</strong>s at a national level with the creation of crop totals for national<br />
<strong>production</strong>. Senior members of UBOS <strong>and</strong> MAAIF create these <strong>in</strong>itial national<br />
figures, which feed <strong>in</strong>to National GDP statistics 1 . The totals agreed upon are<br />
subjective us<strong>in</strong>g past trends adjusted for the year’s weather. MAAIF then performs a<br />
disaggregation of national totals for each crop to a district level (Annex 2) based on<br />
<strong>production</strong> distribution <strong>in</strong> 1992.<br />
The crop <strong>production</strong> figures generated by the above method have led to a significant<br />
exaggeration of <strong>production</strong>. This has be seen <strong>in</strong> section 4 by compar<strong>in</strong>g Statistical<br />
Abstract figures with the more reliable <strong>Crop</strong> Survey Module, IDEA Project, Private<br />
Sector <strong>and</strong> Commodity study results. Agricultural statistical <strong>data</strong> from UBOS /<br />
MAAIF is commonly recognised as be<strong>in</strong>g ‘weak, vulnerable, unsusta<strong>in</strong>able <strong>and</strong><br />
unable to meet <strong>data</strong> users' needs’ (UBOS 2003).<br />
National crop <strong>production</strong> levels are political with senior politicians want<strong>in</strong>g to show<br />
good growth rates. Many small-scale decisions to exaggerate, even slightly, figures<br />
for personal ga<strong>in</strong> or prestige have over time compounded <strong>and</strong> led to a discrepancy of<br />
significant importance to national statistics. A number of key <strong>in</strong>formants view a<br />
downward restatement of crop <strong>production</strong> levels as currently unacceptable at a senior<br />
political level.<br />
District Level<br />
At a district level a <strong>data</strong> gather<strong>in</strong>g process exists that is both disconnected <strong>and</strong><br />
<strong>in</strong>consistent with the national level. Field extension workers perform <strong>in</strong>itial <strong>data</strong><br />
collection. These government employees work with Parish level Chiefs <strong>and</strong> Local<br />
Councilors to record the number of plots be<strong>in</strong>g grown. The number of plots is passed<br />
to the District Agricultural Officer (DAO). Totals for the number of plots are<br />
multiplied by a yield estimate to give district <strong>production</strong>. In the two districts visited<br />
1<br />
It is estimated that a 20% reduction <strong>in</strong> agricultural <strong>production</strong> would br<strong>in</strong>g about a fall <strong>in</strong> total GDP of<br />
approximately 5%<br />
14