A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry
Logistics services aid import and export businesses located near ports in terms of ease and efficiency in the globalization era. Furthermore, economic growth and global import–export volumes immediately impact the port industry. This research aims to develop a two-stage Data Envelopment Analysis (DE...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/9/1385 |
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| author | Chia-Nan Wang Phi-Hung Nguyen Thi-Ly Nguyen Thi-Giang Nguyen Duc-Thinh Nguyen Thi-Hoai Tran Hong-Cham Le Huong-Thuy Phung |
| author_facet | Chia-Nan Wang Phi-Hung Nguyen Thi-Ly Nguyen Thi-Giang Nguyen Duc-Thinh Nguyen Thi-Hoai Tran Hong-Cham Le Huong-Thuy Phung |
| author_sort | Chia-Nan Wang |
| collection | DOAJ |
| description | Logistics services aid import and export businesses located near ports in terms of ease and efficiency in the globalization era. Furthermore, economic growth and global import–export volumes immediately impact the port industry. This research aims to develop a two-stage Data Envelopment Analysis (DEA) model for measuring the performance efficiency of Vietnam’s top 18 seaports. The DEA resampling technique is used to forecast future performance, and the DEA Malmquist model analyzes efficiency improvement. First, the forecast data for the next three years, from 2021 to 2023, were obtained by resampling Lucas weight prediction with the highest accuracy. The results indicate that 12 out of all ports achieved an average progressive production efficiency over the entire study period of 2018–2023. Further, most ports have advanced slightly in technological efficiency, indicating that the determinants of increased productivity are the technical efficiency change indexes. This work contributes to the body of knowledge by being the first to apply the resampling technique in conjunction with the Malmquist model to forecast performance efficiency in the domain of the seaport sector. Furthermore, the managerial implications serve as a beneficial reference for operation managers, policymakers, and researchers when comparing the operational efficacy of seaports to diverse logistical scenarios. |
| first_indexed | 2024-03-10T03:56:48Z |
| format | Article |
| id | doaj.art-a1921d709076405c84f1637038b25a2a |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T03:56:48Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-a1921d709076405c84f1637038b25a2a2023-11-23T08:43:30ZengMDPI AGMathematics2227-73902022-04-01109138510.3390/math10091385A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port IndustryChia-Nan Wang0Phi-Hung Nguyen1Thi-Ly Nguyen2Thi-Giang Nguyen3Duc-Thinh Nguyen4Thi-Hoai Tran5Hong-Cham Le6Huong-Thuy Phung7Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanDepartment of Business Management, National Taipei University of Technology, Taipei 10608, TaiwanDepartment of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanFaculty of Business, FPT University, Hanoi 100000, VietnamFaculty of Business, FPT University, Hanoi 100000, VietnamFaculty of Business, FPT University, Hanoi 100000, VietnamFaculty of Business, FPT University, Hanoi 100000, VietnamFaculty of Business, FPT University, Hanoi 100000, VietnamLogistics services aid import and export businesses located near ports in terms of ease and efficiency in the globalization era. Furthermore, economic growth and global import–export volumes immediately impact the port industry. This research aims to develop a two-stage Data Envelopment Analysis (DEA) model for measuring the performance efficiency of Vietnam’s top 18 seaports. The DEA resampling technique is used to forecast future performance, and the DEA Malmquist model analyzes efficiency improvement. First, the forecast data for the next three years, from 2021 to 2023, were obtained by resampling Lucas weight prediction with the highest accuracy. The results indicate that 12 out of all ports achieved an average progressive production efficiency over the entire study period of 2018–2023. Further, most ports have advanced slightly in technological efficiency, indicating that the determinants of increased productivity are the technical efficiency change indexes. This work contributes to the body of knowledge by being the first to apply the resampling technique in conjunction with the Malmquist model to forecast performance efficiency in the domain of the seaport sector. Furthermore, the managerial implications serve as a beneficial reference for operation managers, policymakers, and researchers when comparing the operational efficacy of seaports to diverse logistical scenarios.https://www.mdpi.com/2227-7390/10/9/1385efficiencyforecastingseaport terminalDEAmalmquistresampling |
| spellingShingle | Chia-Nan Wang Phi-Hung Nguyen Thi-Ly Nguyen Thi-Giang Nguyen Duc-Thinh Nguyen Thi-Hoai Tran Hong-Cham Le Huong-Thuy Phung A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry Mathematics efficiency forecasting seaport terminal DEA malmquist resampling |
| title | A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry |
| title_full | A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry |
| title_fullStr | A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry |
| title_full_unstemmed | A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry |
| title_short | A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry |
| title_sort | two stage dea approach to measure operational efficiency in vietnam s port industry |
| topic | efficiency forecasting seaport terminal DEA malmquist resampling |
| url | https://www.mdpi.com/2227-7390/10/9/1385 |
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