本文選題：社會組織　切入點：食品安全風險　出處：《江南大學》2017年碩士論文　論文類型：學位論文

【摘要】：食品安全問題一直是社會公眾普遍關注的重大民生問題。雖然我國政府高度重視食品安全的監(jiān)管,但是近幾年我國的食品安全事件依舊不斷頻發(fā)。事實再次證明,單純由政府主導的食品安全監(jiān)管模式已無法滿足人們對于食品安全的消費需求。政府和市場在食品安全風險治理中出現(xiàn)的政府公權和市場私權的“雙重失靈”,需要社會組織的參與。食品安全風險的有效監(jiān)管需要引入社會機制,積極引導、扶持、鼓勵社會組織參與食品安全風險治理,促進食品安全治理由傳統(tǒng)的政府主導型的治理模式向“政府主導、社會協(xié)同,公眾參與”的協(xié)同型治理模式轉(zhuǎn)變,形成食品安全風險社會共治體系。本文基于多學科的理論與方法,在充分借鑒國內(nèi)外研究文獻的基礎上,從中國社會組織參與食品安全風險治理的實際出發(fā),構建了社會組織參與食品安全風險治理能力的多元線性回歸模型以及BP神經(jīng)網(wǎng)絡模型,研究了社會組織參與食品安全風險治理能力的主要影響因素與治理能力之間的線性關系與非線性關系。研究結果表明,社會組織的資金狀況、社會組織與政府的關系、社會組織的公信力、社會組織的國際化程度與社會組織參與食品安全風險治理的能力存在顯著的正相關關系。而BP神經(jīng)網(wǎng)絡模擬仿真的分析方法則揭示了其他影響因素與社會組織參與食品安全風險治理能力的非線性關系。本文的主要創(chuàng)新點在于:基于食品安全風險社會共治的現(xiàn)實背景,研究了影響社會組織參與食品安全風險治理能力的主要因素,彌補了現(xiàn)有研究的不足,這在國內(nèi)目前的相關研究中具有獨特的價值;使用多元線性回歸與BP神經(jīng)網(wǎng)絡非線性擬合相結合的分析方法,突破了傳統(tǒng)實證研究的局限性;基于BP神經(jīng)網(wǎng)絡模擬仿真的方法,揭示了相關影響因素與社會組織參與食品安全風險治理能力之間的深層次關系。
[Abstract]:Food safety has always been a major issue of concern to the public. Although the Chinese government attaches great importance to the supervision of food safety, food safety incidents in China in recent years have continued to occur frequently. Facts have proved once again that. The food safety supervision mode which is dominated by the government has been unable to meet the consumer demand for food safety. The "double failure" of the government's public right and the market's private right in the food safety risk management should be required. Effective regulation of food safety risks requires the introduction of social mechanisms. To actively guide, support and encourage social organizations to participate in the management of food safety risks, and to promote the transformation of food safety governance from a traditional government-led governance model to a synergistic governance model of "government-led, social synergy and public participation". Based on the multi-disciplinary theory and method, based on the domestic and foreign research literature, this paper starts from the fact that Chinese social organizations participate in the management of food safety risks. The multivariate linear regression model and BP neural network model of social organizations' ability to participate in food safety risk management are constructed. This paper studies the linear and nonlinear relationship between the main influencing factors and governance ability of social organizations participating in food safety risk management. The results show that the financial situation of social organizations, the relationship between social organizations and government, The credibility of social organizations, There is a significant positive correlation between the degree of internationalization of social organizations and the ability of social organizations to participate in the management of food safety risks, while the analysis method of BP neural network simulation reveals other influencing factors and social tissue parameters. The main innovation of this paper is: based on the realistic background of social co-management of food safety risk, This paper studies the main factors that affect the ability of social organizations to participate in the management of food safety risks, and makes up for the deficiency of the existing research, which has unique value in the relevant research at present in China. The method of combining multiple linear regression with nonlinear fitting of BP neural network breaks through the limitation of traditional empirical research, and is based on the method of BP neural network simulation. The relationship between the related factors and the ability of social organizations to participate in food safety risk management is revealed.
【學位授予單位】：江南大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F203

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