A Model for Evaluating the Efficiency of Government Functional Departments based on VFT-AHP Data Analysis
- DOI
- 10.2991/978-94-6463-056-5_52How to use a DOI?
- Keywords
- Government Efficiency; Evaluation Model; Maritime; Data Analysis; VFT; AHP
- Abstract
An efficiency evaluation model of government functional departments is constructed, taking China`s Maritime Department as an example. Firstly, based on the value-focused-thinking method, an evaluation indicator system of maritime government departments efficiency evaluation is constructed, including 4 dimensions, 21 secondary indicators, and 41 tertiary indicators, constructing 2 categories of target indicators and monitoring indicators. Secondly, the weight of each indicator is determined by the AHP using the MATLAB software. Finally, the generalized utility function is used to calculate the comprehensive evaluation value of efficiency and an empirical analysis was conducted. The evaluation model will help to deepen the theoretical connotation of the efficiency of government functional departments and promote the exploration of quantitative evaluation methods of government efficiency.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yisheng Wang AU - Ran Zhou AU - Xiaojun Li AU - Yi Zhang PY - 2022 DA - 2022/12/29 TI - A Model for Evaluating the Efficiency of Government Functional Departments based on VFT-AHP Data Analysis BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 363 EP - 373 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_52 DO - 10.2991/978-94-6463-056-5_52 ID - Wang2022 ER -