MEASURING LOGISTICS EFFICIENCY AT KEY BORDER PORTS IN CHINA: A GENERALIZED DEA APPROACH BASED ON PANEL DATA
Аннотация
The study measured the logistics efficiency of China’s principal land border ports and explained the differences observed among them. The author defined border port efficiency as the ratio of the gain in port competitiveness to effective construction investment within one year, and built an index system with fixed asset investment per unit area as the input and cargo volume, passenger flow and vehicle flow as the outputs. A generalized data envelopment analysis model for panel data was applied, with 2017 taken as the base year for the production possibility set. Ten first-class highway ports were evaluated for 2018-2021 and grouped into three efficiency classes. The results showed that investment returns depended on the developmental stage of each port rather than on investment volume alone.
Ключевые слова
border ports; logistics efficiency; generalized DEA; panel data; port competitiveness; fixed asset investment; cross-border trade.
Библиографические ссылки
- Guo L. (1994). Research on the layout of China’s open ports. Acta Geographica Sinica, (5), 385-392.
- Zhang G., Zhao L., Zhang H. (2005). Research on China’s border port system. World Regional Studies, (6), 20-24.
- Dong S., Ma X. (2021). Research on the interaction relationship of China’s ports under the dual circulation pattern: based on the evolutionary game analysis perspective. Logistics Engineering and Management, 43(8), 150-154.
- Jiang J., Liu K., Wang Y. (2007). Analysis of the logistics development environment of border ports in Northeast China. Comprehensive Transportation, (4), 32-35.
- Jiang J. (2007). Research on the development of border port logistics between China and Russia. Dissertation. Beijing: Beijing Jiaotong University.
- Liu Y. (2008). Research on the border port logistics system based on the development of Sino-Russian trade. Dissertation. Dalian: Liaoning Normal University.
- Song Z., Che S., Wang J., Zheng L. (2015). Spatial pattern and functional model of China’s border ports. Progress in Geography, 34(5), 589-597.
- Zhang B. (2014). Research on the logistics system of border ports in Yunnan. Beijing: China Economic Publishing House.
- Nusumanu Y., Alimujan T., Yan Y. (2023). Research on the coordinated development of border railway port logistics and the economic development of the hinterland: taking the Horgos railway port in Xinjiang as an example. Logistics Engineering and Management, 45(3), 10-13.
- Wang P., Cheng Y. (2022). Analysis of the comprehensive competitiveness of border ports under the dual circulation perspective: based on the data of 13 border ports in Xinjiang. Times Economy, 19(7), 75-78. https://doi.org/10.19463/j.cnki.sdjm.2022.07.012
- Yi R. (2023). Research on emergency public health event management of border port cities from the perspective of resilient governance. Dissertation. Hohhot: Inner Mongolia University of Finance and Economics. https://doi.org/10.27797/d.cnki.gnmgc.2023.000510
- Zhu Z. (2016). Political economy analysis of China’s port opening. Beijing: China Economic Publishing House.
- Ma Z. (2012). Generalized data envelopment analysis method. Beijing: Science Press.
- Gao T. (2008). Research on logistics efficiency of China’s regions based on DEA. Logistics Economy, (2), 74-76.
- Liu M., Zhou M., Yang J. (2009). Evaluation model and empirical research on urban logistics efficiency based on DEA. Statistics and Decision, (6), 50-52.
- Li T., Wang L., Wang Y. (2012). Research on the logistics efficiency of Liaoning Province ports and their coordinated development with the hinterland economy. Economic Geography, (9), 108-113.
- Shen J., Yu W. (2014). Research on the economic efficiency of major ports in the Bohai Rim region. East China Economic Management, 28(10), 72-76.
- Xie J. (2016). Research on the measurement of customs clearance efficiency of China’s import trade ports: an empirical analysis based on the co-plot-DEA combined evaluation model. Customs and Economic Research, 37(5), 68-76.