Paper
22 May 2023 Study on factors affecting agricultural products logistics in Anhui Province based on grey relational analysis
Jiawei Xu
Author Affiliations +
Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 126400L (2023) https://doi.org/10.1117/12.2673595
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China
Abstract
With the continuous development of China's economy and society and the advancement of the rural revitalization strategy, the agricultural economy is thriving. As an important component of the national economy of the agricultural economy, whether agricultural products can ' go out ' is one of the most important issues. Especially affected by the current new coronavirus epidemic, unsalable agricultural products have been common. Therefore, promoting agricultural products to better ' go out ' has become the primary solution, which shows the importance of logistics and transportation for rural economic development. Based on 8 indexes such as gross agricultural output value, total length of postal routes, and rural delivery routes in Anhui Province from 2011 to 2020, the grey correlation analysis method was used to study the correlation degree between them and the turnover of goods in Anhui Province. The results are as follows: rural delivery routes (0.777) > road operating vehicle ownership (0.765) > gross agricultural product (0.711) > road cargo operating mileage (0.704) > transportation, warehousing, and postal industry (0.7) > civil cargo vehicle ownership (0.697) > railway cargo operating mileage (0.688) > total length of postal routes (0.52). Among them, the correlation between rural delivery routes and cargo turnover is the highest, and the total length of postal routes is the lowest. At the same time, this paper combines the grey prediction model to estimate the cargo turnover of Anhui Province in the next five years. Finally, the paper gives relevant suggestions based on the above data results, which have certain practical reference significance for improving the existing logistics and transportation problems of agricultural products in Anhui Province.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiawei Xu "Study on factors affecting agricultural products logistics in Anhui Province based on grey relational analysis", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 126400L (22 May 2023); https://doi.org/10.1117/12.2673595
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KEYWORDS
Agriculture

Transportation

Industry

Roads

Correlation coefficients

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