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2294 part 1 final report.pdf - Agra CEAS Consulting

2294 part 1 final report.pdf - Agra CEAS Consulting

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Prevention and control of animal diseases worldwide<br />

Part I: Economic analysis: prevention versus outbreak costs<br />

These objectives fall within the broad framework of the Millennium Development Goals adopted by the<br />

UN General Assembly in 2000 7 .<br />

Certain indicators can be used to measure the extent of the difference in the importance of these goals<br />

between countries. In <strong>part</strong>icular, the following key socio-economic variables and indicators have been<br />

included in our country classification:<br />

• GDP per capita and the Human Development Index (HDI 8 ) as indicators of relative wealth.<br />

• Share of agricultural sector in total GDP, and LSUs (livestock units) per person, as indicators of<br />

the contribution of agriculture and livestock to the economy. These indicators provide measures of<br />

the relative importance of the sector in the macro-economy. Used in conjunction with poverty<br />

measures (such as the UNDP HDI), they can indicate the socio-economic dimensions of the<br />

sector, from which conclusions can be drawn for the sector’s importance both in macro-economic<br />

and in micro-economic terms. In countries with a high incidence of rural poverty / poor ranking<br />

on the HDI the sector is expected to play a greater role in poverty alleviation, <strong>part</strong>icularly when<br />

combined with high rates of LUs per person;<br />

• Share of agricultural exports in total value of exports, and net trade position (exports minus<br />

imports of livestock products) as an indicator of trade orientation. This indicates the relative<br />

importance of the sector in trade terms. Countries have been consequently classified as (net)<br />

exporters or (net) importers.<br />

This has allowed us to classify countries in clusters, from which conclusions can be drawn with respect to<br />

the different interests and position of each cluster in terms of animal health prevention and the relative<br />

impact of animal disease outbreaks. The complete analysis and classification of each country can be found<br />

in Annex 3.<br />

3.3. Farming systems<br />

It is important to differentiate between farming systems because the impact and hence cost of a <strong>part</strong>icular<br />

disease can vary significantly depending on the production system. FMD, for instance, will cause higher<br />

production losses in dairy herds than in beef herds. Similarly, HPAI, affects smallholder poultry systems<br />

differently than commercial large-scale poultry based systems: in medium to small holder poultry farms,<br />

which tend to have a medium to low level of biosecurity, animal mortality is higher than in intensive<br />

production systems (where biosecurity tends to be higher), but the latter inevitably suffer from a higher<br />

rate of financial risk due to the higher poultry concentration levels (A14) 9 . Fast transmission of diseases<br />

7 At the millennium summit of the United Nations in September 2000, all the 189 member nations joined in a formal<br />

commitment to reduce global deprivation, including poverty, hunger, poor health and abuses of human rights. This<br />

commitment was taken into a series of Millennium Development Goals (MDGs) to be achieved by 2015.<br />

8 A composite index measuring average achievement in three basic dimensions of human development—a long and<br />

healthy life, knowledge and a decent standard of living. For details on how the index is calculated, see UNDP<br />

statistics.<br />

9 E.g. the FAO recommendations on AI prevention in Asia state that the probability of infection is higher in backyard<br />

and village farms (production sectors 3 and 4) than in commercial/semi-commercial ones (sectors 1 and 2), however,<br />

Civic <strong>Consulting</strong> • <strong>Agra</strong> <strong>CEAS</strong> <strong>Consulting</strong> 19

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