Testing for Intermediate Outputs in Dynamic DEA Models: Accounting for Soil Capital in Rotational Crop Production and Productivity Measures

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30 Citations (Scopus)

Abstract

In agricultural production, a stylized fact known as the rotation effect says crop rotations generate higher yields or productivity than identical crops grown in isolated monocultures. This paper develops a dynamic data envelopment analysis (DEA) model of crop production that accounts for the rotation effect. The model is applied to data from an experimental farm in Pennsylvania to investigate the role soil capital plays in observed productivity growth and the rotation effect.

Original languageEnglish (US)
Pages (from-to)247-266
Number of pages20
JournalJournal of Productivity Analysis
Volume14
Issue number3
DOIs
StatePublished - Jan 1 2000

Fingerprint

data analysis
productivity
agricultural production
farm
Productivity
Soil
Dynamic Data envelopment analysis
Crops
Testing
Farm
Productivity growth
Agricultural production
Crop rotation
Stylized facts

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Social Sciences (miscellaneous)
  • Economics and Econometrics

Cite this

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abstract = "In agricultural production, a stylized fact known as the rotation effect says crop rotations generate higher yields or productivity than identical crops grown in isolated monocultures. This paper develops a dynamic data envelopment analysis (DEA) model of crop production that accounts for the rotation effect. The model is applied to data from an experimental farm in Pennsylvania to investigate the role soil capital plays in observed productivity growth and the rotation effect.",
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