本文關(guān)鍵詞：基于多層次灰色評(píng)價(jià)的線上供應(yīng)鏈金融信用風(fēng)險(xiǎn)評(píng)價(jià)　出處：《渤海大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 線上供應(yīng)鏈金融 信用風(fēng)險(xiǎn)評(píng)價(jià) 多層次灰色評(píng)價(jià)法 中煤交易平臺(tái)

【摘要】：“互聯(lián)網(wǎng)+”近幾年如火如荼的開展,線上供應(yīng)鏈金融服務(wù)也應(yīng)運(yùn)而生,然而在發(fā)展過程中出現(xiàn)了許多不完善之處,比起傳統(tǒng)線下模式亦增添了一些新的信用風(fēng)險(xiǎn)�，F(xiàn)代煤炭企業(yè)等傳統(tǒng)工業(yè)與時(shí)俱進(jìn),通過線上平臺(tái)找尋資金支持渠道。此時(shí)新的線上供應(yīng)鏈金融作為新型的資金支持渠道,探討信用風(fēng)險(xiǎn)因素及風(fēng)險(xiǎn)等級(jí),以及規(guī)避信用風(fēng)險(xiǎn)變的勢在必行。本文根據(jù)線上供應(yīng)鏈金融信用風(fēng)險(xiǎn)的特性,總結(jié)對(duì)于線上供應(yīng)鏈金融信用風(fēng)險(xiǎn)有重要影響的指標(biāo)。結(jié)合實(shí)證部分中中煤交易的特點(diǎn)和指標(biāo)篩選原則,篩選出信用風(fēng)險(xiǎn)評(píng)價(jià)指標(biāo)體系指標(biāo)。該評(píng)價(jià)體系中包含產(chǎn)業(yè)因素、信貸企業(yè)資質(zhì)、信用記錄、線上供應(yīng)鏈運(yùn)營情況、核心企業(yè)資質(zhì)五個(gè)子評(píng)價(jià)指標(biāo)體系。然后,運(yùn)用熵權(quán)法計(jì)算出一級(jí)、二級(jí)以及三級(jí)的每個(gè)指標(biāo)的權(quán)重。信用風(fēng)險(xiǎn)評(píng)價(jià)指標(biāo)信息難以量化,存在較高的灰色性,因此本文選擇多層次灰色評(píng)價(jià)方法作為評(píng)價(jià)方法來量化線上供應(yīng)鏈金融信用風(fēng)險(xiǎn),這一評(píng)價(jià)模型在一定程度解決了分配指數(shù)權(quán)重主觀的問題。在實(shí)證研究部分,本文在中煤交易線上平臺(tái)合作企業(yè)中,選出煤炭生產(chǎn)、貿(mào)易及用煤三家企業(yè)進(jìn)行實(shí)例驗(yàn)證。利用已建的評(píng)價(jià)指標(biāo)體系和多層次灰色評(píng)價(jià)法,計(jì)算這三個(gè)企業(yè)的信用風(fēng)險(xiǎn)評(píng)價(jià)值,得出的評(píng)價(jià)值的結(jié)果呈現(xiàn)從優(yōu)秀到差五個(gè)函數(shù)層次,量化的評(píng)價(jià)了三家煤炭企業(yè)的風(fēng)險(xiǎn)等級(jí),找出評(píng)價(jià)值屬于函數(shù)中一般甚至較差的指標(biāo),即影響企業(yè)信用風(fēng)險(xiǎn)的薄弱環(huán)節(jié),根據(jù)找出的薄弱環(huán)節(jié)有針對(duì)性的給予一些信用風(fēng)險(xiǎn)控制策略。
[Abstract]:"Internet" in recent years in full swing, online supply chain financial services also came into being, but in the process of development there have been a lot of imperfections. Compared with the traditional offline model, it also adds some new credit risks. Modern coal enterprises and other traditional industries keep pace with the times. Through the online platform to find funding support channels. At this time the new online supply chain finance as a new funding support channel to explore credit risk factors and risk levels. And to avoid the change of credit risk is imperative. This paper based on the characteristics of online supply chain financial credit risk. Summary of the online supply chain financial credit risk has an important impact on indicators, combined with the empirical part of the characteristics of coal trading and the principles of index selection. The index system of credit risk evaluation is selected. The evaluation system includes five sub-evaluation index system: industry factor, credit enterprise qualification, credit record, online supply chain operation, core enterprise qualification. The entropy weight method is used to calculate the weight of each index of the first, second and third levels. The information of the credit risk evaluation index is difficult to quantify, and there is a high grey degree. Therefore, this paper chooses the multi-level grey evaluation method as the evaluation method to quantify the credit risk of online supply chain finance. This evaluation model solves the subjective problem of assigning index weight to a certain extent. In the part of empirical research. In this paper, three enterprises of coal production, trade and coal use are selected for verification by using the established evaluation index system and multi-level grey evaluation method. Calculate the credit risk evaluation value of the three enterprises, the results of the evaluation value show from excellent to poor five functional levels, the quantitative evaluation of the three coal enterprises' risk levels. Find out that the evaluation value belongs to the general or even worse index in the function, that is, the weak link that affects the enterprise credit risk, and give some credit risk control strategy according to the weak link.
【學(xué)位授予單位】：渤海大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F832.4;F426.21;F406.7

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