Research on Performance Evaluation of Social Work Development in China

Authors

  • Linlin Ran School of Politics and Public Administration, Xinjiang University, China
  • Kun Chen School of Politics and Public Administration, Xinjiang University, China

DOI:

https://doi.org/10.22158/sssr.v5n4p120

Abstract

This paper aims to explore efficiency enhancement and resource allocation optimization in the field of social work, a topic that has been underexplored in previous literature but is crucial for its development. Using China, home to the world's largest social work force, as an example, we constructed a multi-dimensional social work evaluation index system. The study evaluates China's social work sector using Meta-frontier Data Envelopment Analysis (DEA) and Malmquist index methods. Based on the results, we propose relevant improvement suggestions, intending to provide a reference for social work practices in other countries and regions.

Author Biographies

Linlin Ran, School of Politics and Public Administration, Xinjiang University, China

Linlin Ran is a graduate student at the School of Politics and Public Administration, Xinjiang University, Urumqi, Xinjiang, China, her research focus on public policy and social work policy.

Kun Chen, School of Politics and Public Administration, Xinjiang University, China

Kun Chen is an associate professor at the School of Politics and Public Administration, Xinjiang University, Urumqi, Xinjiang, China. His research interests include public policy and social work policy, with a focus on policy evaluation and analysis.

Published

2024-11-23

Issue

Vol. 5 No. 4 (2024)

Section

Articles