Study on the Causes of Social Stability Risk of Environmental Engineering Project-Based on Qualitative Comparative Analysis Method

Abstract

In recent years, as China's faster economic development, environmental engineering projects due to social needs and increased risk also will be normalized. In 2014, the Blue Book of Chinese Society pointed out that in recent years, the number of social events caused by various social contradictions was more than 10,000[1]. Where the environmental mass incidents are multiple with 30% annual growth. In all kinds of environmental conflicts, environmental engineering projects conflicts are emerging. The academic community has gradually carried out the construction of major projects of social stability risk assessment criteria, evaluation index system and other attempts to standardize the implementation of the project research, and achieved more fruitful research results. Local governments have been working in practice based on the corresponding evaluation index system. It is found that the establishment of environmental engineering project evaluation criteria is very important. However the root causes of social stability risk are essential for solving the fundamental problems. In the transition period, Chinese scholars are having great concern to the causes of the conflict. The scholars believe that with the consciousness of people's environment, the awakening and strengthening of citizens' consciousness, the lack of interest demands, the deviation of risk cognition, the influence of psychological perception and so on Important reasons for the frequent conflict of environmental engineering projects. From the theory used in the analysis, there are political opportunity structure theory, collective action theory, discourse theory, relative deprivation theory[2]. Some scholars believe that the occurrence of mass incidents (collective action) is an important factor in the environmental engineering as a social engineering, embedded in the local community, did not take into account the local knowledge, local identity, the impact of factors[3]. Therefore, in order to solve the analytical bias and selectivity bias caused by empirical data and case studies, this paper analyzes the multivariate independent variables by qualitative comparative analysis (QCA) (Ragin 1987, 2000)