A Multi-model Based Approach for Measuring Operational Efficiency in Smes: Theory Construction and Empirical Analysis
DOI:
https://doi.org/10.54097/hpjz6h74Keywords:
SMEs (Small and Medium-sized Enterprises), Operational Efficiency, DEA-PCA Model, Indicator System, Efficiency ImprovementAbstract
Small and medium-sized enterprises (SMEs) play a pivotal role in China's economy, but the issue of their operational efficiency has attracted much attention. This study aims to construct a method to measure the operational efficiency of SMEs based on DEA-PCA model. Through theoretical elaboration, model construction, indicator selection, empirical analysis, and result discussion, it reveals the characteristics and influencing factors of SMEs' operational efficiency, and provides theoretical basis and practical guidance for enterprises to improve their operational efficiency. The study shows that this method can effectively overcome the subjectivity of the traditional DEA method in the selection of indicators, and provide strong support for the accurate assessment of the operational efficiency of SMEs.
Downloads
References
[1] Acs, Z. J., & Audretsch, D. B. (1990). Innovation and small firm growth in Germany. Small Business Economics, 2 (2), 109 - 122.
[2] Storey, D. J. (1994). Understanding the small business sector. Routledge.
[3] Liu, J. S., & Lu, L. Y. (2010). Efficiency evaluation of small and medium - sized enterprises: a review and comparison of DEA and SFA. Omega, 38 (6), 463 - 474.
[4] Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2 (6), 429 - 444.
[5] Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30 (9), 1078 - 1092.
[6] Jolliffe, I. T. (2002). Principal Component Analysis (2nd ed.). Springer.
[7] Hotelling, H. (1933). Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology, 24 (6), 417 - 441.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Finance and Investment

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.