Paper
21 November 2022 Contribution calculation of logistics industry to regional economic growth of Gansu Province
Luojuan Gao, Yuguang Wei
Author Affiliations +
Proceedings Volume 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022); 123401S (2022) https://doi.org/10.1117/12.2652403
Event: International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 2022, Lanzhou, China
Abstract
Owing to the accelerating urbanization process, the contribution of logistics development to regional economic growth is all the more significant in Gansu Province. Regional logistics is a significant booster for the development of regional economic integration. Therefore, in-depth discussion of the relevance between logistics industry and regional economy in Gansu Province, and quantitative analysis of the contribution of logistics to economic growth, are particularly important for enhancing Gansu's economic strength. Firstly, based on the situation analysis of logistics and economic growth in Gansu, this paper quantitatively selects five logistics indicators, including freight volume, cargo turnover, logistics mileage, logistics added value and the number of logistics employees, and one typical economic indicators GDP. Then, with the help of econometric theory and eviews10 software, the stationarity test and cointegration test of the selected indicators are carried out, which points out that there is a long-term equilibrium relationship between various logistics indicators and economic indicators. And the Logistic model is further constructed to measure the contribution of freight volume to GDP. Eventually, reasonable suggestions such as strengthening logistics infrastructure construction and investment are put forward according to the calculation results.
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Luojuan Gao and Yuguang Wei "Contribution calculation of logistics industry to regional economic growth of Gansu Province", Proc. SPIE 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 123401S (21 November 2022); https://doi.org/10.1117/12.2652403
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KEYWORDS
Astatine

Roads

Analytical research

Error analysis

Quantitative analysis

Data processing

Inspection

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