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Using a Programming Approach to Measure International Agricultural Efficiency and Productivity
Author(s) -
Arnade Carlos
Publication year - 1998
Publication title -
journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.157
H-Index - 61
eISSN - 1477-9552
pISSN - 0021-857X
DOI - 10.1111/j.1477-9552.1998.tb01252.x
Subject(s) - productivity , agriculture , agricultural productivity , multifactor productivity , agricultural economics , developing country , economics , measure (data warehouse) , total factor productivity , economic growth , computer science , geography , archaeology , database
Multifactor agricultural productivity for seventy countries is calculated using a programming method. Productivity measures are divided into indices that measure technical efficiency and technical change. Agriculture in many developing countries is technically inefficient but technical change has had a greater impact on agricultural productivity. Multifactor productivity is declining in many developing countries where both agricultural output and the use of some agricultural inputs has rapidly grown. The level of education in a country and research services are factors which can explain differences in agricultural productivity growth between countries.