Input and output biased technological change in US agriculture

Shunsuke Managi, David Karemera

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)


Data Envelopment Analysis (DEA) techniques are applied to a state-level data set to measure the total factor productivity in US agriculture over 1960-1996. Total factor productivity is decomposed into input and output biased technological change, efficiency change, and scale change, under both constant return to scale (CRS) and variable return to scale (VRS). Assumption of Hick neutral technological change is discussed. Technological change is found to be the result of efficient use of inputs much more than the effects of output capability increase.

Original languageEnglish
Pages (from-to)283-286
Number of pages4
JournalApplied Economics Letters
Issue number5
Publication statusPublished - Apr 15 2004
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics


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