Assessing the Quality of Agricultural Market Information Systems: A Self-assessment Guide

Nonfiction, Social & Cultural Studies, Social Science
Cover of the book Assessing the Quality of Agricultural Market Information Systems: A Self-assessment Guide by Food and Agriculture Organization of the United Nations, Food and Agriculture Organization of the United Nations
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Author: Food and Agriculture Organization of the United Nations ISBN: 9789251304594
Publisher: Food and Agriculture Organization of the United Nations Publication: April 16, 2018
Imprint: Smashwords Edition Language: English
Author: Food and Agriculture Organization of the United Nations
ISBN: 9789251304594
Publisher: Food and Agriculture Organization of the United Nations
Publication: April 16, 2018
Imprint: Smashwords Edition
Language: English

To date, however, these private services, while usually being more efficient than the government-run ones, have also largely depended on donor support for their continued operation. It has proved difficult to develop a profitable business model as many of the clients are small farmers and traders.

Agricultural market information systems or services (MIS) can cover staples, horticultural crops, livestock, and export commodities. They are generally designed to collect, process, and disseminate or distribute data of relevance to farmers, traders and other buyers, such as processors, but the data they generate can also be used for a variety of purposes by governments, donors, international organizations and others.

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To date, however, these private services, while usually being more efficient than the government-run ones, have also largely depended on donor support for their continued operation. It has proved difficult to develop a profitable business model as many of the clients are small farmers and traders.

Agricultural market information systems or services (MIS) can cover staples, horticultural crops, livestock, and export commodities. They are generally designed to collect, process, and disseminate or distribute data of relevance to farmers, traders and other buyers, such as processors, but the data they generate can also be used for a variety of purposes by governments, donors, international organizations and others.

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