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Improving Agricultural Market Performance:

Developing Agricultural Market Information Systems

32

cites the case Guinea Bissau, where prices are broadcast in Portuguese though most of the

farmers speak a local language

(Creole)

. He adds that in Malaysia, publishing prices on bulletin

boards failed to attract uptake mainly because farmers and traders needed more than price

information.

The limitations of the 1GMIS noted above appeared to stymie uptake and utilisation by market

actors such as farmers and traders in trade transactions. The high cost of running the systems

also created major sustainability challenges (Bennett and Layola, 1996). It is therefore not

surprising that in Zambia, as in many other developing countries, there has been further

advances in MIS, evolving from the 1GMIS to 2GMIS and beyond in order to better serve market

players (see Section 3.5.1 below for further discussion of changes which have occurred in

Zambia). There is no doubt, however, that the data generated was used by policymakers in

tracking food price trends and inform interventions to moderate shocks in the domestic grain

markets, especially for maize for human consumption and uptake by, for example, the poultry

industry.

3.3

PUBLIC 2GMIS MODELS: EXAMPLES FROM ETHIOPIA

Public 2GMIS models are mostly based on the first generation models but with definitive

enhancements in the form of inclusion of recent ICT te

ch

nologies. They are operated based on

the principle that market information is a public good

7 .

The focus remains on national level

systems which are hosted by public institutions, especia

lly

theMinistries of Agriculture andwith

funding provided mainly by the government. Though most of the new 2GMIS continue to focus

on staple cereals and livestock, the range of products/commodities covered has increased. Price

is still the primary information type which is disseminated but the use of the internet andmobile

telephony has become prominent. Despite targeting market players, the primary objective of

these systems remains that of informing public policy actions.

Examples of such models in non-OIC countries include the Systeme d’Information des Filieres

(SIF) in Cameroon and Mozambique’s Information System for Agricultural Markets (SIMA).

Zhang et al. (2016) report that the Government of China has, in the past two decades, promoted

improved agricultural market information services by investing in centres at

regional/provincial levels which are well equipped with computers and other ICT facilities to

serve farmers ‘free of charge’. The illustrative case we discuss, however, is that of Ethiopia.

The agricultural sector is of immense importance to the economy of Ethiopia. The sector

contributes an estimated 43.0%of GDP in 201

3 8

. The sector also made a significant contribution

to the

im

pressive economic growth record pos

te

d by the country in recent times. Between 2003

and 2

01

3, average GDP growth rate was 10.8% and 31% of this growth was attributable to the

sector

9 .

Cereals, especially teff, wheat and maize are important strategic staples whilst coffee

and p

ul

ses are key export crops. The existing MIS are therefore set around these groups of

commodities and are characterised by significant differences as discussed below.

7

A public good is defined as something which exhibits non-rivalry and non-excludability i.e. someone’s use of a good does

not exclude another from using it. For example, street lighting.

8 Source: UNDP Country Economic Brief – Analysis Issue No. 1/Feb.2014 and the Economist Intelligence Unit.

9

Source: IMF Press Release No. 15/286 June 19, 2015.