A Study on the Efficiency of Chinese Logistics Using DEA-SBM Model
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Data Envelopment Analysis (DEA) model is typically used to analyze the logistics efficiency in a given region. It assesses the ability to achieve maximum output given input resources. DEA is preferred because it is a nonparametric method that does not require specific functional assumptions, while considering multiple inputs and outputs simultaneously for a comprehensive efficiency assessment. This approach is particularly advantageous for complex system evaluations such as logistics efficiency. However, traditional DEA model is a radial model and has a biased results due to the omission of the impact of undesired outputs. In order to obtain more accurate conclusions, this study uses DEA-SBM (Slacks-Based Measure) model and incorporates two negative factors which are sulphur dioxide emissions and the number of traffic accidents. We investigate the logistics efficiency in 31 Chinese provinces, using data from 2004 to 2020. In addition, specific analyses of the logistics efficiency of each province are conducted to propose corresponding improvement strategies, thus providing a more scientifically sound basis for the development of China’s logistics industry.
Abstract
Data Envelopment Analysis (DEA) model is typically used to analyze the logistics efficiency in a given region. It assesses the ability to achieve maximum output given input resources. DEA is preferred because it is a nonparametric method that does not require specific functional assumptions, while considering multiple inputs and outputs simultaneously for a comprehensive efficiency assessment. This approach is particularly advantageous for complex system evaluations such as logistics efficiency. However, traditional DEA model is a radial model and has a biased results due to the omission of the impact of undesired outputs. In order to obtain more accurate conclusions, this study uses DEA-SBM (Slacks-Based Measure) model and incorporates two negative factors which are sulphur dioxide emissions and the number of traffic accidents. We investigate the logistics efficiency in 31 Chinese provinces, using data from 2004 to 2020. In addition, specific analyses of the logistics efficiency of each province are conducted to propose corresponding improvement strategies, thus providing a more scientifically sound basis for the development of China’s logistics industry.
참고문헌 (36)
- 안영효, "DEA 모델을 이용한 세계 주요 항공사의 효율성 비교분석", 로지스틱스연구, 20(2), pp.107~126 (2012), 한국로지스틱스학회[DOI]
- Estimation and analysis of multifactor productivity in truck transportation, 1987-2003, "Apostolides, A. D.", ~ (2009)
- Banker, R. D., "Some models for estimating technical and scale inefficiencies in data envelopment analysis", Management Science, 30(9), pp.1078~1092 (1984)
- Barnum, D. T., "Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers", Transportation Research Part E : Logistics and Transportation Review, 47(6), pp.1160~1176 (2011)
- Brandenburg, M., "Financial performance and firm efficiency of automotive manufacturers and their suppliers : A longitudinal data envelopment analysis", Logistics Research, 14(1), pp.1~26 (2021)
- Charnes, A., "Measuring the efficiency of decision making units", European Journal of Operational Research, 2(6), pp.429~444 (1978)
- Chen, Y. F., "Evolutionary trends and influential factors of regional business circulation efficiency in China", Industrial Economics Research, 74(1), pp.53~60 (2015)
- 최성구, "세계 주요 공항의 효율성과 영향력 측정에 관한 연구: DEA와 사회 네트워크 분석을 이용하여", 로지스틱스연구, 22(1), pp.29~42 (2014), 한국로지스틱스학회[DOI]
- Chu, S. C., "4th Party Cyber Logistics for Aircargo (Vol. 73)" (2004), Springer Science & Business Media
- Data Envelopment Analysis: Models and Interpretations-Handbook on Data Envelopment Analysis, "Cooper, W. W.", ~ (2004)
- Costa, Á., "Evaluating public transport efficiency with neural network models", Transportation Research Part C : Emerging Technologies, 5(5), pp.301~312 (1997)
- Deng, H. B., "The urban tourism efficiencies of cities in Anhui province based on DEA model", Journal of Natural Resources, 29(2), pp.313~323 (2014)
- Farrell, M. J., "The measurement of productive efficiency", Journal of Royal Statistical Society Series A : Statics in Society, 120(3), pp.253~281 (1957)
- Gold, S., "Data envelopment analysis for investigating the relative efficiency of supply chain management", Logistics Research, 10(6), pp.1~17 (2017)
- Graham, D. J., "Productivity and efficiency in urban railways : Parametric and non-parametric estimates", Transportation Research Part E : Logistics and Transportation Review, 44(1), pp.84~99 (2008)
- Lan, H., "China’s rural credit cooperatives performance evaluation : Based on malmquist index analysis of three-stage DEA model", Journal of Financial Research, 432(6), pp.159~175 (2016)
- Levinson, D., "Perspectives on efficiency in transportation", International Journal of Transport Management, 1(3), pp.145~155 (2003)
- Li, D., "An empirical study on logistics efficiency of west China under carbon emission constraints : Based on the SBM-undesirable model and panel data analysis", West Forum on Economy and Management, (4), pp.11~19 (2018)
- Lin, M. Z., "An empirical analysis of urban logistics efficiency evaluation model based on DEA", Statistics & Decision, 6(5) (2009)[DOI]
- Lin, Z., "Marine economic efficiency and spatio-temporal characteristics of inter-province based on undesirable outputs in China", Scientia Geographica Sinica, 36(5), pp.671~680 (2016)
- Liu, Y., "Evaluation of the efficiency of China’s logistics industry and analysis of its influencing factors", Business Economics Research, (13), pp.75~78 (2019)
- Loske, D., "Human-AI collaboration in route planning : An empirical efficiency-based analysis in retail logistics", International Journal of Production Economics, 241, pp.108236~ (2021)
- Odeck, J., "A meta-analysis of DEA and SFA studies of the technical efficiency of seaports : A comparison of fixed and random-effects regression models", Transportation Research Part A : Policy and Practice, 46(10), pp.1574~1585 (2012)
- 박차미, "DEA-SBM을 이용한 국내 물류산업의 효율성 분석", 로지스틱스연구, 22(4), pp.27~46 (2014), 한국로지스틱스학회[DOI]
- Qiao, P., "Efficiency measurement of urban and rural logistics supply chain system based on fuzzy algorithm", Computational Intelligence and Neuroscience, 2022 (2022)
- Rezaei, J., "Measuring the relative importance of the logistics performance index indicators using best worst method", Transport Policy, 68, pp.158~169 (2018)
- Seiford, L. M., "Recent developments in DEA: The mathematical programming approach to frontier analysis", Journal of Econometrics, 46(1-2), pp.7~38 (1990)
- Shaik, M. N., "Comprehensive performance measurement and causal-effect decision making model for reverse logistics enterprise", Computers & Industrial Engineering, 68, pp.87~103 (2014)
- Sy, B., "An analysis of the impact of ASEAN’s logistics performance on trade flows using linear and non-linear method in an augmented gravity model", Logistics Research, 13(1), pp.5~ (2020)
- Tian, G., "Research on technical efficiency differences and their influencing factors in China’s logistics industry – Empirical analysis based on provincial panel date", Science Research Management, 32(7), pp.34~44 (2011)
- Tian, Q., "Study on efficiency evaluation of logistics industry in Pan-Bohai economic circal based on DEA", Journal of Highway and Transportation Research and Development, 37(1), pp.149~158 (2020)
- Tone, K., "A slacks-based measure of efficiency in data envelopment analysis", European Journal of Operational Research, 130(3), pp.498~509 (2001)
- Wei, J. G., "The current situation, problems and trends of China’s logistics industry development", Journal of Beijing Jiaotong University(Social Science Edition), 18(01), pp.1~9 (2019)
- "In 11 minutes, resident of Changsha received the diapers they purchased on ‘Double Eleven’" (2022)[URL]
- Ying, F., "Addressing effective construction logistics through the lens of vehicle movements", Engineering, Construction and Architectural Management, 21(3), pp.261~275 (2014)
- Zhang, X., "Supplier evaluation and selection : A hybrid model based on DEAHP and ABC", International Journal of Production Research, 50(7), pp.1877~1889 (2012)