Open Access
| Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 5 | |
| Section | Intelligent Environmental Monitoring and Quality Technology Assessment | |
| DOI | https://doi.org/10.1051/e3sconf/202125301008 | |
| Published online | 06 May 2021 | |
- Zhijun Zhang, Qingle Zuo. Analysis of coupling coordination degree of highway cargo transportation volume and GDP[J]. Statistics and Decision, 2016(22):92–94. [Google Scholar]
- Minxue Gao, Yukun Li, Jingping Li. Research on the relationship between China’s freight transportation and economic growth from the perspective of coupling and decoupling[J]. Economic Theory and Economic Management, 2019(05): 75–87. [Google Scholar]
- Zhiguo Jiang. Research on the relationship between comprehensive transportation freight volume and national economic development[D]. Southwest Jiaotong University, 2019. [Google Scholar]
- Hao Xiong, Youwang Sun. A Co-integration Analysis of the Relationship between China’s Freight Volume and Economic Growth[J]. Systems Engineering, 2010, 28(09): 46–50. [Google Scholar]
- Xiao Liang, Chunping Hu, Kun Qian, Baohua Mao. Research on the relationship between cargo turnover and economic development [J]. Logistics Technology, 2011, 30(11): 49–53. [Google Scholar]
- Yuchu Zhou, Xuhong Wen, Shijun Zhang. Analysis of the co-integration relationship between freight turnover and GDP of different modes of transportation [J]. Railway Freight, 2017, 35(10): 15–19+24. [Google Scholar]
- Yongjie Zhang. Application of Grey System Theory in Forecasting Road Freight Volume and Freight Turnover Volume [J]. Transportation System Engineering and Information, 2003(01): 75–79. [Google Scholar]
- Luqing Rong. Research on the development of regional waterway freight transportation based on ash prediction and ash correlation—taking Guangxi as an example[J]. Journal of Beijing Jiaotong University (Social Science Edition), 2018, 17(02): 109–117. [Google Scholar]
- Huaixin Zhao, Xingxing Sun, Qianqian Xu, Yuanjiao Hu, Chaoyun Sun, Wei Li. Correlation factors analysis of highway freight volume and cargo turnover based on gray entropy method[J]. Journal of Transportation Engineering, 2018, 18(04): 160–170. [Google Scholar]
- Rong Zhang, Yulu He. Analysis on the influencing factors of China’s railway freight volume[J]. Railway Freight, 2019, 37(11): 14–21. [Google Scholar]
- Hui Liu. Research on the dynamic relationship between "Keqiang Index" and economic growth-an empirical analysis based on VAR and VEC models [J]. Business Times, 2014(01): 11–13. [Google Scholar]
- Zhaoyu Yu, Cheng Zhang,Zhijian Zhang. Co-integration Research on the Relationship between Railway Freight Volume and Gross National Economy [J]. Railway Transport and Economy, 2011, 33(12): 1–4. [Google Scholar]
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