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Measuring productivity when technology is heterogeneous using a latent class stochastic frontier model

Dados Bibliográficos

ID21542073
AutoresK Hervé Dakpo (0000-0002-6114-7896, École Nationale Vétérinaire de Toulouse, autor correspondente), Laure Latruffe (Centre National de la Recherche Scientifique), Yann Desjeux (0000-0003-2711-6268, Centre National de la Recherche Scientifique), Philippe Jeanneaux (0000-0001-8715-9185, Université Clermont Auvergne)
Ano2024
Volume67
Fascículo5
Páginas2175-2205
Data de publicação2024-11-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEmpirical Economics (JOURNAL)
Identificadores do periódicoISSN: 0377-7332 • E-ISSN: 1435-8921
EditoraSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00181-024-02604-0
OpenAlexW4396857818
IdiomaEN
Citações recebidas3
Referências citadas55

Econometrics · Economics · Frontier · Geography · Latent class model · Macroeconomics · Productivity · Statistics · Computer Science · Efficiency Analysis Using DEA · Forecasting Techniques and Applications · Grey System Theory Applications · Mathematics · Artificial Intelligence

  • Retracted Article

    Open Access•Yugang He•Humanities and Social Sciences…•2026

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    Open Access•Alejandro Nin, Channing Arndt et al.•Journal of Development Economics•2003

  • LDC agriculture

    Open Access•Lilyan E Fulginiti, Richard K Perrin•Journal of Development Economics•1997

  • Evaluating the double effect of land fragmentation on technology choice and dairy farm productivity

    Open Access•Luis Orea, Jose A Pérez et al.•Land Use Policy•2015

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Obras citantes distintas3
Citações por ano3
Intervalo de citações2025 - 2026 (2)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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