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The impact of digital logistics under the big environment of economy
Digital logistics techniques are important for business applications that contribute to economic growth. The modern supply chain or logistics seeks to implement a large-scale smart infrastructure incorporating data, physical objects, information, products, and business progressions. The business app...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079085/ https://www.ncbi.nlm.nih.gov/pubmed/37023087 http://dx.doi.org/10.1371/journal.pone.0283613 |
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author | Zhang, Liuhua Gong, Tianbao Tong, Yanan |
author_facet | Zhang, Liuhua Gong, Tianbao Tong, Yanan |
author_sort | Zhang, Liuhua |
collection | PubMed |
description | Digital logistics techniques are important for business applications that contribute to economic growth. The modern supply chain or logistics seeks to implement a large-scale smart infrastructure incorporating data, physical objects, information, products, and business progressions. The business applications are utilized various intelligent techniques to maximize the logistic process. However, the logistic process suffers due to transportation costs, quality, and multinational transportation. These factors frequently affect the region’s economic growth. In addition, most cities are located in remote areas that receive improper logistic support, which minimizes business growth. So, this work analyzes the impact of digital logistics on the region’s economy. The Yangtze River economic belt region, which includes almost 11 cities, is chosen for analysis. The gathered information is processed by Dynamic Stochastic Equilibrium with Statistical Analysis Modelling (DSE-SAM), which predicts the correlation and influence of digital logistics on economic development. Here, the judgment matrix is constructed to reduce the difficulties of data standardization and normalization processes. Then entropy model and statistical correlation analysis are utilized to improve the overall impact analysis process. Finally, the developed DSE-SAM based created system efficiency is compared with the other economic models, such as Spatial Durbin Model (SDM), Coupling Coordination Degree Model (CCDM), and Collaborative Degree Model (CDM). The results of the suggested DSE-SAM model achieve a high correlation of urbanization, logistics, and ecology in the Yangtze River economic belt region compared to other regions. |
format | Online Article Text |
id | pubmed-10079085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100790852023-04-07 The impact of digital logistics under the big environment of economy Zhang, Liuhua Gong, Tianbao Tong, Yanan PLoS One Research Article Digital logistics techniques are important for business applications that contribute to economic growth. The modern supply chain or logistics seeks to implement a large-scale smart infrastructure incorporating data, physical objects, information, products, and business progressions. The business applications are utilized various intelligent techniques to maximize the logistic process. However, the logistic process suffers due to transportation costs, quality, and multinational transportation. These factors frequently affect the region’s economic growth. In addition, most cities are located in remote areas that receive improper logistic support, which minimizes business growth. So, this work analyzes the impact of digital logistics on the region’s economy. The Yangtze River economic belt region, which includes almost 11 cities, is chosen for analysis. The gathered information is processed by Dynamic Stochastic Equilibrium with Statistical Analysis Modelling (DSE-SAM), which predicts the correlation and influence of digital logistics on economic development. Here, the judgment matrix is constructed to reduce the difficulties of data standardization and normalization processes. Then entropy model and statistical correlation analysis are utilized to improve the overall impact analysis process. Finally, the developed DSE-SAM based created system efficiency is compared with the other economic models, such as Spatial Durbin Model (SDM), Coupling Coordination Degree Model (CCDM), and Collaborative Degree Model (CDM). The results of the suggested DSE-SAM model achieve a high correlation of urbanization, logistics, and ecology in the Yangtze River economic belt region compared to other regions. Public Library of Science 2023-04-06 /pmc/articles/PMC10079085/ /pubmed/37023087 http://dx.doi.org/10.1371/journal.pone.0283613 Text en © 2023 Zhang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhang, Liuhua Gong, Tianbao Tong, Yanan The impact of digital logistics under the big environment of economy |
title | The impact of digital logistics under the big environment of economy |
title_full | The impact of digital logistics under the big environment of economy |
title_fullStr | The impact of digital logistics under the big environment of economy |
title_full_unstemmed | The impact of digital logistics under the big environment of economy |
title_short | The impact of digital logistics under the big environment of economy |
title_sort | impact of digital logistics under the big environment of economy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079085/ https://www.ncbi.nlm.nih.gov/pubmed/37023087 http://dx.doi.org/10.1371/journal.pone.0283613 |
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