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

Tao Zhai, Jiabin Liu and Daqing Wang ()
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Tao Zhai: Northeast Agricultural University
Jiabin Liu: Haikou University of Economics
Daqing Wang: Haikou University of Economics

Economic Change and Restructuring, 2023, vol. 56, issue 6, No 10, 3949-3977

Abstract: Abstract 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.

Keywords: Path optimization; Industrial chain; Agriculture marketing; Internet of Things (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10644-023-09495-8

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