Data/hora: 09/06/2024 06:57:12

Provedor de dados: | 31
País: | United States
Título: | A PRIMAL-DUAL APPROACH TO NONPARAMETRIC PRODUCTIVITY ANALYSIS: THE CASE OF U.S. AGRICULTURE
Autores: | Chavas,   Jean-Paul; Cox,   Thomas L.
Data: | 1997-05-14
Ano: | 1994
Palavras-chave: | Productivity Analysis.
Resumo: | Nonparametric methods for measuring productivity indexes based on bounds for the underlying production technology are presented. Following Banker and Maindiratta, the lower bound is obtained from a primal approach while the upper bound corresponds to a dual approach to nonparametric production analysis. These nonparametric bounds are then used to estimate input-based and output- based distance functions. These radial measures provide the basis for measuring productivity indexes. Application to times series data on U.S. agriculture indicates a large gap between the primal lower bound and the dual upper bound. This generates striking differences between the primal and dual nonparametric productivity indexes.
Tipo: | Working or Discussion Paper
Idioma: | Inglês

Identificador:

47

http://purl.umn.edu/12613

Editor: | AgEcon Search

Relação:

University of Wisconsin-Madison&gt;Department of Agricultural and Applied Economics&gt;Staff Papers

Staff Paper 372

Formato:

27

application/pdf