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基于灰色理论模型分析金融在供应链中解决中小企业融资困难的有效性。

Analyzing the Effectiveness of Finance in Supply Chain in Solving the Financing Difficulties of SMEs Based on Grey Theory Model.

机构信息

School of Economics and Management, Yan'an University, Yan'an 716000, China.

School of Economics and Management, Weifang University of Science and Technology, Weifang 262700, China.

出版信息

Comput Intell Neurosci. 2022 Jul 14;2022:7608937. doi: 10.1155/2022/7608937. eCollection 2022.

DOI:10.1155/2022/7608937
PMID:35875764
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9303077/
Abstract

Small and medium-sized enterprises (SMEs) play an indispensable role in China's national economic system, and they can play a critical role in promoting economic growth and full employment. The main reason for the disruption and impediment to the development of SME clusters is that the enterprises in the clusters are experiencing a "capital shortage," as a result of the double contradiction between the clusters' financial benefits and the difficulties in financing. Grey theory is a relatively new concept in the field of information processing. It proposes theories and methods for processing and analyzing incomplete information systems using mathematical methods. This study uses finance in supply chain as a new research perspective to investigate the effectiveness of finance in supply chain in resolving SMEs' financing problems using the Grey theory model, with the goal of resolving SMEs' financing problems. When comparing the results of the Grey theory model and the regression analysis model, the relative error of the Grey theory model is on average 12.2% lower than that of the regression analysis model, indicating that the Grey theory model greatly improves accuracy. As a result, using the Grey theory model to solve supply chain financing and SMEs' difficulties can share risks, share credit, reduce transaction costs, weaken information asymmetry, and achieve mutual benefits and a win-win situation. It is expected to promote the development of the finance in supply chain model, mobilise enterprise enthusiasm for using finance in supply chain, improve finance in supply chain operational efficiency, and promote finance in supply chain development.

摘要

中小企业(SMEs)在中国国民经济体系中发挥着不可或缺的作用,它们在促进经济增长和充分就业方面可以发挥关键作用。中小企业集群发展受阻的主要原因是集群内企业面临“资金短缺”,这是由于集群的财务效益与融资困难之间的双重矛盾造成的。灰色理论是信息处理领域的一个相对较新的概念。它提出了使用数学方法处理和分析不完全信息系统的理论和方法。本研究以供应链金融为新的研究视角,运用灰色理论模型研究供应链金融在解决中小企业融资问题方面的有效性,旨在解决中小企业的融资问题。在比较灰色理论模型和回归分析模型的结果时,灰色理论模型的相对误差平均比回归分析模型低 12.2%,表明灰色理论模型大大提高了准确性。因此,利用灰色理论模型解决供应链融资和中小企业的困境,可以实现风险共担、信用共享、降低交易成本、减弱信息不对称,实现互利共赢。预计这将促进供应链融资模型的发展,调动企业使用供应链金融的积极性,提高供应链金融的运营效率,促进供应链金融的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/3e25971f38c0/CIN2022-7608937.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/16c56c82e354/CIN2022-7608937.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/b26f6f28c259/CIN2022-7608937.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/30e50ebd2462/CIN2022-7608937.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/640a81181306/CIN2022-7608937.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/15d89ded9919/CIN2022-7608937.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/0b495eee906c/CIN2022-7608937.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/7b8ca84cc79e/CIN2022-7608937.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/3e25971f38c0/CIN2022-7608937.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/16c56c82e354/CIN2022-7608937.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/b26f6f28c259/CIN2022-7608937.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/30e50ebd2462/CIN2022-7608937.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/640a81181306/CIN2022-7608937.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/15d89ded9919/CIN2022-7608937.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/0b495eee906c/CIN2022-7608937.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/7b8ca84cc79e/CIN2022-7608937.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/9303077/3e25971f38c0/CIN2022-7608937.008.jpg

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A Blockchain-Driven Supply Chain Finance Application for Auto Retail Industry.一种用于汽车零售行业的区块链驱动的供应链金融应用程序。
Entropy (Basel). 2020 Jan 13;22(1):95. doi: 10.3390/e22010095.