影响社会组织参与食品安全风险治理能力的主要因素研究
发布时间:2018-03-11 11:28
本文选题:社会组织 切入点:食品安全风险 出处:《江南大学》2017年硕士论文 论文类型:学位论文
【摘要】:食品安全问题一直是社会公众普遍关注的重大民生问题。虽然我国政府高度重视食品安全的监管,但是近几年我国的食品安全事件依旧不断频发。事实再次证明,单纯由政府主导的食品安全监管模式已无法满足人们对于食品安全的消费需求。政府和市场在食品安全风险治理中出现的政府公权和市场私权的“双重失灵”,需要社会组织的参与。食品安全风险的有效监管需要引入社会机制,积极引导、扶持、鼓励社会组织参与食品安全风险治理,促进食品安全治理由传统的政府主导型的治理模式向“政府主导、社会协同,公众参与”的协同型治理模式转变,形成食品安全风险社会共治体系。本文基于多学科的理论与方法,在充分借鉴国内外研究文献的基础上,从中国社会组织参与食品安全风险治理的实际出发,构建了社会组织参与食品安全风险治理能力的多元线性回归模型以及BP神经网络模型,研究了社会组织参与食品安全风险治理能力的主要影响因素与治理能力之间的线性关系与非线性关系。研究结果表明,社会组织的资金状况、社会组织与政府的关系、社会组织的公信力、社会组织的国际化程度与社会组织参与食品安全风险治理的能力存在显著的正相关关系。而BP神经网络模拟仿真的分析方法则揭示了其他影响因素与社会组织参与食品安全风险治理能力的非线性关系。本文的主要创新点在于:基于食品安全风险社会共治的现实背景,研究了影响社会组织参与食品安全风险治理能力的主要因素,弥补了现有研究的不足,这在国内目前的相关研究中具有独特的价值;使用多元线性回归与BP神经网络非线性拟合相结合的分析方法,突破了传统实证研究的局限性;基于BP神经网络模拟仿真的方法,揭示了相关影响因素与社会组织参与食品安全风险治理能力之间的深层次关系。
[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.
【学位授予单位】:江南大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:F203
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