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Improving Agricultural Statistics in the COMCEC Region

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4

Conclusion and Recommendations

The purpose of this study has been to assess the state of agricultural statistics in the COMCEC

Member Countries. The main conclusions and recommendations of this study are as follows:

4.1

Main Conclusions

The need for agricultural statistics is increasing but in a new form, at the domestic and

international levels. The quantity of agricultural statistics produced is increasing in the

COMCEC Member Countries.. Nevertheless, agricultural statistics in the COMCEC

Member Countries are far from meeting the needs of the users, especially those

internationally.

Response rates of COMCEC Members to the questionnaires for international databases,

such as FAOSTAT, in agricultural statistics are falling. It should be pointed out that it is

not the amount of data supplied, but the ratio of supply to the demanded data, and

data supplied at shortened deadlines is falling.

International organizations’ databases have reached the critical threshold: These

organizations are understandably concerned with maintaining and sustaining their

databases. Therefore, new initiatives such as the

Global Strategy to Improve Food and

Agriculture Statistics

have been initiated to consolidate the efforts and financial

resources to build statistical capacities in the developing countries.

Although true, this should not mean that the response rates of particularly COMCEC

Members and developing countries in general, are any worse than those of the

developed world. However, the reasons for non-response differ. In the case of the

developing world, it is most likely due to non-availability of the demanded data at the

demanded time. In the case of some developing or developed countries, it is more due

to the low priority in the agenda than the actual lack of data.

Supply of agricultural statistics falling behind demand should also not lead one to

assume that statistics of other traditional sectors such as industry, social, education,

health, are better. It may be that some have already given up supplying data.

Capacity building initiatives with financial support are far more effective than those

without. The small financial assistances mean more to African countries than the Arab

and Asian countries and hence provide more incentives for African participation.

Indeed, the African group is better in supplying data to international organizations

than the Arab group. The Asian group consists of a mix, i.e. that the CIS countries are

worse, while the East Asian countries are the best at supplying data. African countries

also tend to be more cooperative in the internationally funded initiatives than those in

Arab countries and Asia. To complete the picture, The AfDB and ADB are more active

in supporting statistical initiatives in their regions than IDB.