Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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A Study on the Evaluation of Logistics Efficiency in 22 cities of Guangxi and Yunnan

광서성 및 운남성 22개 도시의 물류 효율성 평가에 관한 연구

  • Zhou, Yi Xi (Graduate School of Business, Sehan University) ;
  • Jeon, Jun-Woo (Department of East Asian Studies & Logistics, SungKyul University) ;
  • Kim, Hyung-Ho (Department of Air Transport and Logistics, Sehan University)
  • 주이희 (세한대학교 경영대학원) ;
  • 전준우 (성결대학교 동아시아물류학부) ;
  • 김형호 (세한대학교 항공교통물류학과)
  • Received : 2020.06.15
  • Accepted : 2020.09.20
  • Published : 2020.09.28
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Abstract

The logistics industry is a basic and strategic industry that supports the development of national economy and society. The purpose of this paper is to evaluate the logistics efficiency of 22 cities in Guangxi and Yunnan provinces in China, and to grasp the problems and constraints and present policy proposals to promote the transformation and upgrading of the industrial structure in Guangxi and Yunnan provinces. In this paper, five input indexes and four output indexes were selected and the data from 2016 to 2018 were analyzed through DEA method. According to the analysis, the logistics efficiency of Guangxi and Yunnan provinces is not bad overall, but the development of each region is not balanced and the level of logistics efficiency is quite different. And it is found that each city needs to further improve the level of scale because the input and production structure of logistics resources is unreasonable. The limitation of this study is that it is difficult to generalize the analysis results because only the data over the past three years have been analyzed. It is necessary to comprehensively implement longitudinal and transverse analyses by extending the future analysis period over a long period of time.

물류산업은 국민경제와 사회의 발전을 지원하는 기간산업이다. 본 논문은 중국 광시성 및 윈난성 22개 도시의 물류 효율을 평가하고, 문제점과 제약사항을 파악하여 광시성 및 윈난성 산업구조의 변혁과 고도화를 촉진하기 위한 정책제안을 제시하는 것을 목적으로 한다. 본 논문에서는 5개의 투입지표와 4개의 산출지표를 선정하고 2016년부터 2018년까지의 데이터를 DEA 방법을 통해 분석하였다. 분석결과 광시성과 윈난성의 물류 효율은 전반적으로 나쁘지 않지만 지역 간 발전이 균형이 맞지 않고 물류 효율의 수준도 상당히 다르다는 것을 알 수 있었으며, 각 도시별 물류자원의 투입-산출 구조가 불합리해 규모의 수준을 더욱 개선할 필요가 있는 것으로 파악되었다. 본 연구의 한계는 과거 3년간의 데이터만을 분석하여 분석결과를 일반화하기 어렵다는 것이다. 향후 분석기간을 장기간으로 확대하여 종적 및 횡적 분석을 종합적으로 시행할 필요가 있다.

Keywords

References

  1. L. M. He. (2018). China logistics yearbook 2018. Beijing: China Fortune Press. http://tongji.cnki.net/Kns55/navi/YearBook.aspx?floor=1&id=N2018120394
  2. L. Li. (2019). Research on the Measurement and Promotion Path of Logistics Efficiency in Gansu Province under the Background of "One Belt and One Road"[J]. Logistics Sci-Tech, 42(09), 112-117. http://lib.cqvip.com/Qikan/Article/Detail?id=7100074227&from=Qikan_Search_Index
  3. B. WANG, H. H. Zhu & L. Liu. (2019). Comprehensive Evaluation on Logistics Efficiency in the"The Belt and Road"in China-Based on Three-stage DEA Model[J]. East China Economic Management, 33(05), 76-82. DOI : 10.19629/j.cnki.34-1014/f.180523017
  4. L. L. Zhao. (2019). Analysis of Logistics Efficiency in Guangxi based on DEA model[J]. China Market, (13), 175-177. http://lib.cqvip.com/Qikan/Article/Detail?id=7001823062&from=Qikan_Search_Index
  5. J. Huang, Y. J. Yi, X. T. Wang & M. D. Liu. (2017). Study of Yunnan-Myanmar Trade Effect on Yunnan's Logistics Efficiency[J]. Science & Technology and Economy, 30(03), 85-89. http://www.cnki.com.cn/Article/CJFDTOTAL-KJYZ201703018.htm
  6. J. X. Wu.(2019). Guangxi Statistical Yearbook. Beijing: China Statistics Press. http://tjj.gxzf.gov.cn/tjsj/tjnj/
  7. C. H. Li. (2019). Yunan Statistical Yearbook. Beijing: China Statistics Press. http://stats.yn.gov.cn/tjsj/tjnj/
  8. M. Liu & L. M. Yang. (2018). Research on the Industrial Efficiency, Spatial Interaction and Coordinated Development of Regional Logistics - Based on the Data of 277 Prefecture-level Cities in China[J]. China Business And Market, 33(8), 34-44. DOI : 10.14089/j.cnki.cn11-3664/f.2019.08.004
  9. X. J. Wang. (2015). Analysis of the linkage effect between regional economic development and logistics competitiveness in China[J]. Acta economica, 65(s2), 239-249. DOI: https://doi.org/10.1556/032.65.2015.s2.18
  10. S. Rajakaruna, A. W. Wijeratne, T.S. Mann & Y. Chen(2017). Identifying key skill sets in humanitarian logistics: developing a model for Sri-Lanka[J]. International journal of disaster risk reduction, 24(12), 58-65. https://doi.org/10.1016/j.ijdrr.2017.05.009
  11. S. L. Lan, C. YANG & G. Q. Huang. (2017) Data analysis for metropolitan economic and logistics development[J].Advanced engineering informatics, 32(8), 66-76. https://doi.org/10.1016/j.aei.2017.01.003
  12. X. M. Li & X. F. Bai. (2016). An Empirical Analysis on the State-owned Logistic Enterprises Based on SUP-CCR-DEA[J]. China Business and Market, 30(04), 26-32. http://lib.cqvip.com/Qikan/Article/Detail?id=668470309
  13. N. T. Nguyen & T. T. Tran, (2019). Raising opportunities in strategic alliance by evaluating efficiency of logistics companies in Vietnam: a case of Cat Lai Port. Neural Computing and Applications, 31(11), 7963-7974. https://link.springer.com/article/10.1007/s00521-018-3639-2
  14. L. Qi, J. W. Jeon & H. H. Kim. (2020). Analysis on Logistics Efficiency of China's Agricultural Products Cold Chain from the Green Perspective. International Journal of Advanced Culture Technology, 8(2), 192-203. https://doi.org/10.17703/IJACT.2020.8.2.192
  15. I. H. Baek, M. W. Chen & H. S. Lee. (2020). A Study on Efficiency Analysis for Major International Airports in Korea, China and Japan Using DEA. Korea Logistics Review, 30(3), 23-31. http://www.riss.kr/link?id=A106928943
  16. J. F. Wang, X. Q. Zhai & L. J. Feng. (2014). Efficiency Optimization of Coal Mine Production Logistics Under Safety Hard Constraint[J]. Chinese Journal of Management Science, (7), 59-66. http://lib.cqvip.com/Qikan/Article/Detail?id=6618011 34&from=Qikan_Search_Index
  17. S. Q. Jia. (2019). Analysis of agricultural products logistics efficiency and its influencing factors in central China - based on super efficiency and Tobit model[J]. Journal of Commercial Economics, (11), 158-160. http://lib.cqvip.com/Qikan/Article/Detail?id=7002117924&from=Qikan_Search_Index
  18. R. Markovits & Z. Bokorz. Assessing the logistics efficiency of European countries by using the DEA-PC methodology[J]. Transport, 2014(2), 137-145. https://doi.org/10.3846/16484142.2014.928787
  19. X. P. Lei, R. Qiu & S. F. Liu. (2012). Empirical Research on the Efficiency Measurement of Logistics Industry Based on DEA Model--Based on Input-output Data in 2008 from 31 Provinces, Cities and Autonomous Regions of China[J]. East China Economic Management, (7), 62-66. http://lib.cqvip.com/Qikan/Article/Detail?id=41923466&from=Qikan_Search_Index
  20. L. Y. Wu, G. J Kim & H. H. Kim. (2020). An Efficiency Analysis of Integrated Online and Offline Operations of Listed Retail Companies - Focusing on 28 listed retail companies in China, Journal of Digital Convergence, 18(1), 73-81. http://www.earticle.net/Article/A368881 https://doi.org/10.14400/JDC.2020.18.1.073
  21. N. Chao, J. W. Jeon & H. H. Kim. (2019). An Efficiency Analysis of Science and Technology Budget in Provinces and Autonomous Regions in China. Journal of Digital Convergence, 17(12), 129-137. http://www.earticle.net/Article/A366767 https://doi.org/10.14400/JDC.2019.17.12.129
  22. Y. X. Zhou, J. W. Jeon& H. H. Kim. (2019). A Study on Urbanization Efficiency analysis of China's 31 provinces and cities. Journal of Digital Convergence, 17(12), 147-157. http://www.earticle.net/Article/A366769 https://doi.org/10.14400/JDC.2019.17.12.147