基于灰關(guān)聯(lián)理論的X縣農(nóng)村信用社競爭力研究
本文選題:農(nóng)村信用社 + 競爭力評價。 參考:《湖南大學》2012年碩士論文
【摘要】:深化農(nóng)村金融體制改革,放開金融市場,一系列政策讓金融業(yè)的競爭日趨火熱。外資銀行的進入,四大國有商業(yè)銀行攻城略地實力的提升,農(nóng)業(yè)銀行的重返陣地,股份制銀行業(yè)務(wù)破冰跨區(qū)經(jīng)營,郵政儲蓄銀行應(yīng)運而生,,以及村鎮(zhèn)銀行的呱呱落地,對農(nóng)村信用合作聯(lián)社的現(xiàn)有陣地形成了巨大的沖擊波。因此,增強對農(nóng)村信用合作聯(lián)社的競爭力評價,提升其競爭力是農(nóng)村信用合作聯(lián)社的當務(wù)之急。 本文結(jié)合所學的理論知識,從量化分析的角度對X縣農(nóng)村信用合作聯(lián)社競爭力評價進行分析,應(yīng)用熵理論對農(nóng)村信用合作聯(lián)社競爭力評價的各指標賦權(quán),并用關(guān)聯(lián)度度量分析各農(nóng)村信用合作聯(lián)社的競爭力現(xiàn)狀,以據(jù)此提出相應(yīng)的提升其競爭力的方案,為推動X縣農(nóng)村信用合作聯(lián)社的發(fā)展提供科學依據(jù)。 本文建立了基于灰色系統(tǒng)理論的農(nóng)村信用合作聯(lián)社競爭力評價模型,為農(nóng)村信用合作聯(lián)社競爭力評價提供了新的思路。以所有農(nóng)村信用合作聯(lián)社中競爭力水平最好的各個指標值組成一個理想的農(nóng)村信用合作聯(lián)社,計算各個目標農(nóng)村信用合作聯(lián)社與理想農(nóng)村信用合作聯(lián)社之間的關(guān)聯(lián)度,按照關(guān)聯(lián)度大小的排序?qū)嶋H上就是農(nóng)村信用合作聯(lián)社競爭力水平的排序。由此來反映各個指標對競爭力的影響,為決策者提供提高競爭力的提供參考。 本文對X縣農(nóng)村信用合作聯(lián)社的競爭力的研究,對該縣各區(qū)農(nóng)村信用合作聯(lián)社如何提升競爭力具有一定的借鑒作用,其它相關(guān)農(nóng)村金融企業(yè)也可以用此研究方法作為借鑒,以評定自身競爭力,找到提高競爭力的側(cè)重點和有效方案,從而起到以管窺的作用,進而有利于農(nóng)村信用合作聯(lián)社的可持續(xù)發(fā)展,有效的解決“三農(nóng)問題”,同時對構(gòu)建和諧社會主義社會起到了一定的作用。因此對X縣農(nóng)村信用合作聯(lián)社的競爭力的研究有深遠的理論意義和現(xiàn)實意義。
[Abstract]:Deepening the reform of the rural financial system and opening up the financial market, a series of policies have made the financial industry increasingly competitive. With the entry of foreign banks, the upgrading of the strength of the four major state-owned commercial banks in attacking the cities, the return of the Agricultural Bank to its position, the operation of joint-stock banks in ice-breaking areas, the emergence of postal savings banks, and the arrival of village and town banks. The existing position of the rural credit cooperative association has formed a huge shock wave. Therefore, it is urgent to strengthen the evaluation of the competitiveness of rural credit cooperatives and enhance their competitiveness. Combined with the theoretical knowledge learned, this paper analyzes the competitiveness evaluation of X County Rural Credit Cooperative Society from the angle of quantitative analysis, and applies entropy theory to the evaluation of the competitiveness of rural credit cooperatives. This paper analyzes the present situation of the competitiveness of the rural credit cooperative cooperatives by using the correlation measure, and puts forward the corresponding schemes to enhance their competitiveness, which provides scientific basis for promoting the development of the rural credit cooperative societies in X County. In this paper, the evaluation model of the competitiveness of rural credit cooperatives based on grey system theory is established, which provides a new way of thinking for the evaluation of the competitiveness of rural credit cooperatives. To form an ideal rural credit cooperative with the best index value of the competitiveness of all rural credit cooperatives, and calculate the correlation degree between each target rural credit cooperative association and the ideal rural credit cooperative association. The ranking according to the degree of relevance is actually the ranking of the level of competitiveness of rural credit cooperatives. This reflects the impact of various indicators on competitiveness and provides reference for decision makers to improve competitiveness. This paper studies the competitiveness of X County Rural Credit Cooperative Society, which can be used for reference by other rural financial enterprises. In order to evaluate their own competitiveness, to find the key points and effective solutions to improve their competitiveness, so as to play a voyeurizing role, and thus conducive to the sustainable development of rural credit cooperatives, and effectively solve the "three rural issues", At the same time, the construction of a harmonious socialist society has played a certain role. Therefore, the research on the competitiveness of X County Rural Credit Cooperative is of profound theoretical and practical significance.
【學位授予單位】:湖南大學
【學位級別】:碩士
【學位授予年份】:2012
【分類號】:F832.35;N941.5
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