Data-driven Policy Evaluation

Data-Driven Policy Evaluation is a systematic methodology within public management research that employs quantitative and qualitative data analytics to assess the effectiveness, efficiency, and impact of public policies, distinguished by its reliance on empirical data and advanced analytical techniques to inform and improve policy decisions.

123

Publications

5.3K

Citations

305

Authors

159

Institutions

Publications per year

2017–2026

66

Authors

305

  1. HC
    Haiqiang Chen

    Xiamen University, China

    2 publications · 88 citations

    2

    h-index

  2. YL
    Yingxing Li

    Xiamen University, China

    2 publications · 88 citations

    2

    h-index

  3. LF
    Luis F. Luna‐Reyes

    Universidad de las Américas Puebla, Mexico

    2 publications · 81 citations

    2

    h-index

  4. QH
    Qian Han

    Lanzhou University, China

    2 publications · 88 citations

    2

    h-index

  5. SM
    Steve Martin

    Cardiff University, United Kingdom

    2 publications · 50 citations

    2

    h-index

1–5 of 305

Venues

  1. Government Information Quarterly

    5 publications · 393 citations

    5

    h-index

  2. Journal of Policy Analysis and Management

    4 publications · 109 citations

    4

    h-index

  3. American Journal of Evaluation

    AJE · 3 publications · 78 citations

    3

    h-index

  4. Policy & Internet

    3 publications · 122 citations

    3

    h-index

  5. Policy Politics & Nursing Practice

    PPNP · 2 publications · 31 citations

    2

    h-index

1–5