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Performance Evaluation Method of Public Administration Department Based on Improved DEA Algorithm.

Qing Guan1,2, Shuilong Zou1,2, Hong Liu3

  • 1School of Economics and Management, Nanchang Normal College of Applied Technology, Nanchang, Jiangxi 330108, China.

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|October 10, 2022
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Summary
This summary is machine-generated.

This study introduces an improved Data Envelopment Analysis (DEA) algorithm for evaluating public administration performance. The findings show that optimizing public services and balancing influencing factors like public satisfaction and service cost maximizes performance evaluation quality.

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Area of Science:

  • Public Administration
  • Operations Research
  • Performance Management

Background:

  • Traditional performance evaluation methods for public administration departments often face quality challenges.
  • The Data Envelopment Analysis (DEA) model is crucial for assessing efficiency and effectiveness in public services.
  • Public service satisfaction is a key indicator for evaluating administrative performance.

Purpose of the Study:

  • To propose an improved DEA algorithm for enhancing the performance evaluation of public administration departments.
  • To address the quality issues in current performance evaluation systems.
  • To provide a foundation for long-term development and performance improvement in public administration.

Main Methods:

  • Utilizing an improved Data Envelopment Analysis (DEA) algorithm as the core methodology.
  • Employing public service satisfaction as a primary parameter within the DEA model.
  • Conducting empirical research on eight social security departments to test the DEA model's effectiveness.

Main Results:

  • Five out of eight social security departments were found to be DEA effective (Departments 2, 3, 4, 5, and 6).
  • Three departments were identified as non-DEA effective (Departments 1, 7, and 8).
  • Public satisfaction and total service cost were confirmed to significantly influence performance quality.

Conclusions:

  • The improved DEA algorithm offers a robust method for evaluating public administration performance.
  • Optimizing public services and enhancing service satisfaction are critical for improving evaluation quality.
  • Balancing various influencing factors, including public satisfaction and service costs, is essential for maximizing performance evaluation quality.