Shephard Input Distance Function

The Shephard Input Distance Function is a mathematical function in production theory that measures the maximum proportional reduction in input quantities feasible while still producing a given level of output, thereby characterizing technical efficiency in input usage relative to the production frontier.

14

Publications

730

Citations

27

Authors

22

Institutions

Publications per year

2017–2026

3

Variants

Shephard's Input Distance Function

Authors

27

  1. SC
    Subal C. Kumbhakar

    Binghamton University, United States

    2 publications · 46 citations

    2

    h-index

  2. DI
    David I. Stern

    Australian National University, Australia

    1 publications · 17 citations

    1

    h-index

  3. TS
    Terrence S. Veeman

    University of Alberta, Canada

    1 publications · 318 citations

    1

    h-index

  4. RF
    Rolf Färe

    Oregon State University, United States

    1 publications · 12 citations

    1

    h-index

  5. BB
    Bruno Bosco

    University of Milano-Bicocca, Italy

    1 publications · 13 citations

    1

    h-index

1–5 of 27

Venues

  1. Empirical Economics

    2 publications · 46 citations

    2

    h-index

  2. Applied Economics

    2 publications · 32 citations

    2

    h-index

  3. Journal of Productivity Analysis

    1 publications · 12 citations

    1

    h-index

  4. Utilities Policy

    1 publications · 40 citations

    1

    h-index

  5. Environmental Science and Pollution Research

    ESPR · 1 publications · 47 citations

    1

    h-index

1–5