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Optimization path of agricultural products marketing channel based on innovative industrial chain

Optimization path is a complicated issue to manage the manufacture and distribution of fresh food, influenced by several parameters, such as its perishability. Producers cannot ensure that manufacturing and distribution decisions will be efficient and accurate. Using 15 prefecture-level cities in Ch...

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Detalles Bibliográficos
Autores principales: Zhai, Tao, Liu, Jiabin, Wang, Daqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982782/
http://dx.doi.org/10.1007/s10644-023-09495-8
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author Zhai, Tao
Liu, Jiabin
Wang, Daqing
author_facet Zhai, Tao
Liu, Jiabin
Wang, Daqing
author_sort Zhai, Tao
collection PubMed
description Optimization path is a complicated issue to manage the manufacture and distribution of fresh food, influenced by several parameters, such as its perishability. Producers cannot ensure that manufacturing and distribution decisions will be efficient and accurate. Using 15 prefecture-level cities in China as a case study, this paper gathers and organizes relevant data indicators of rural economy and agricultural ecological environment economic recovery for the period between 2008 and 2020, builds the composite evaluation index, determines the development index using the reporting system function, and finally employs a novel digital evaluation scheme to assess the coupling and coordination between the cities over time. The following inferences are made. To begin, linear growth with uneven regional development may be seen in the rural economy’s complete level index (values from 0.422 to 0.622). The objective of the study is to address the two-stage collaborative planning challenge to maximize farmer income by promoting the economic recovery. This article offers a mixed-integer processing paradigm to account for these restrictions. Calculations show that the suggested collaborative planning model may increase farmers’ distributing revenue by 7.98% compared to the existing independent decision-making distribution channel. Management thoughts have been developed based on various decision scenarios. Agricultural producers must sort and bundle their products with care and work with a fast and reliable delivery business and on time to deliver their items. Furthermore, the approach can assess the influence of distribution routes on producers’ revenues.
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spelling pubmed-99827822023-03-03 Optimization path of agricultural products marketing channel based on innovative industrial chain Zhai, Tao Liu, Jiabin Wang, Daqing Econ Change Restruct Article Optimization path is a complicated issue to manage the manufacture and distribution of fresh food, influenced by several parameters, such as its perishability. Producers cannot ensure that manufacturing and distribution decisions will be efficient and accurate. Using 15 prefecture-level cities in China as a case study, this paper gathers and organizes relevant data indicators of rural economy and agricultural ecological environment economic recovery for the period between 2008 and 2020, builds the composite evaluation index, determines the development index using the reporting system function, and finally employs a novel digital evaluation scheme to assess the coupling and coordination between the cities over time. The following inferences are made. To begin, linear growth with uneven regional development may be seen in the rural economy’s complete level index (values from 0.422 to 0.622). The objective of the study is to address the two-stage collaborative planning challenge to maximize farmer income by promoting the economic recovery. This article offers a mixed-integer processing paradigm to account for these restrictions. Calculations show that the suggested collaborative planning model may increase farmers’ distributing revenue by 7.98% compared to the existing independent decision-making distribution channel. Management thoughts have been developed based on various decision scenarios. Agricultural producers must sort and bundle their products with care and work with a fast and reliable delivery business and on time to deliver their items. Furthermore, the approach can assess the influence of distribution routes on producers’ revenues. Springer US 2023-03-03 /pmc/articles/PMC9982782/ http://dx.doi.org/10.1007/s10644-023-09495-8 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Zhai, Tao
Liu, Jiabin
Wang, Daqing
Optimization path of agricultural products marketing channel based on innovative industrial chain
title Optimization path of agricultural products marketing channel based on innovative industrial chain
title_full Optimization path of agricultural products marketing channel based on innovative industrial chain
title_fullStr Optimization path of agricultural products marketing channel based on innovative industrial chain
title_full_unstemmed Optimization path of agricultural products marketing channel based on innovative industrial chain
title_short Optimization path of agricultural products marketing channel based on innovative industrial chain
title_sort optimization path of agricultural products marketing channel based on innovative industrial chain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982782/
http://dx.doi.org/10.1007/s10644-023-09495-8
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