Image from Google Jackets

Mechanization in African agriculture a continental overview on patterns and dynamics

By: Contributor(s): Material type: TextTextPublication details: Bonn Center for Development Research, University of Bonn 40p.Description: 40pISSN:
  • 1864-6638
Subject(s): Online resources: Summary: This study provides an overview on the patterns and dynamics of mechanization in African agriculture over the 10 year period (2005-2014). Farm level and value chain related mechanization are considered. This study looks in to pattern of agricultural mechanization along the entire value chain (production, post-harvest, processing, transport and storage) and compares it with the annual average agricultural output over the same time period. Clusters of countries are identified by grouping countries into those that have simultaneously experienced high growth rate in agricultural machinery and also in agricultural output, including; Angola, Botswana, Ethiopia, Malawi, Mali, Morocco, Niger, Rwanda, Tanzania, Togo, and Zambia. On the opposite side of the spectrum are countries with low growth in machinery and in agricultural output, and include for instance Madagascar, Zimbabwe, Uganda, and Egypt. In general, there is a positive correlation (of 0.52) between agricultural machinery growth and agricultural output growth in Africa, which is a classical two – way relationship, not to be interpreted as a causal one.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode
Books Books TERI Delhi Available EB1242

This study provides an overview on the patterns and dynamics of mechanization in African agriculture over the 10 year period (2005-2014). Farm level and value chain related mechanization are considered. This study looks in to pattern of agricultural mechanization along the entire value chain (production, post-harvest, processing, transport and storage) and compares it with the annual average agricultural output over the same time period. Clusters of countries are identified by grouping countries into those that have simultaneously experienced high growth rate in agricultural machinery and also in agricultural output, including; Angola, Botswana, Ethiopia, Malawi, Mali, Morocco, Niger, Rwanda, Tanzania, Togo, and Zambia. On the opposite side of the spectrum are countries with low growth in machinery and in agricultural output, and include for instance Madagascar, Zimbabwe, Uganda, and Egypt. In general, there is a positive correlation (of 0.52) between agricultural machinery growth and agricultural output growth in Africa, which is a classical two – way relationship, not to be interpreted as a causal one.

There are no comments on this title.

to post a comment.
© 2024 TERI Knowledge Resource Centre

Powered by Koha