Research Article | OPEN ACCESS
On the Human Capital Factors to Evaluate the Efficiency of Tax Collection Using Data Envelopment Analysis Method
1Hua Liu, 1Qishen Zhou, 2Lihong Zhou and 1Shanhui Wang
1School of Management, Huazhong University of Science and Technology, Wuhan, 430074, China
2School of Information Management, Wuhan University, Wuhan, 430072, China
Research Journal of Applied Sciences, Engineering and Technology 2013 6:2156-2162
Received: July 31, 2012 | Accepted: September 03, 2012 | Published: February 21, 2013
Abstract
This study focuses on the investigation of the influence of human capital factors on the tax collection efficiency. Literature review indicated that although the efficiency evaluation of tax collection has been discussed in previous study, the influence of human capital factors on the tax collection efficiency has seldom been addressed. Hence, the Data Envelopment Analysis (DEA) method has been employed to address this issue in this study. The innovation of this study lays on that the human capital factors have been taken into account in the efficiency evaluation of tax collection. To measure performance of the human capital factors in the tax collection, a case study in Wuhan city, China has been carried out. The DEA analysis results demonstrate that the tax collection efficiency increases with the increase of the number and higher education level of the tax officers and the higher education level of the tax officers still has a large room to improve. Then, relative improvement strategies have been proposed to strengthen tax collection efficiency. Hence, the findings of this study contribute to the body of knowledge in the efficiency evaluation of tax collection and its improvement measurement, which can be referred by other cities over the world.
Keywords:
Data envelopment analysis, human capital factors, tax collection, tax revenue,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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