LAUSR

Based on a survey of 2343 rural residents in China, this paper adopts a binary logistic regression model as the analytical tool to study the impact of rural residents’ social network and sense of responsibility regarding their participation in environmental governance. The results show that the cost, frequency and scope of social network activities have positive and significant influences on resident participation in rural environmental governance. The cost of a social network is conducive to building a rural social network, enhancing the connection of interests and promoting the formation of a rural community. Extending social network objectives from family members to villagers can improve the cultural identity and emotional identity of rural residents. The increase in the frequency of social network activities can not only enhance trust among residents, but also reduce the cost of environmental governance mobilization. The scope of a social network acts as an inhibitor whereby social interaction beyond the scope of rural areas will reduce identification with rural emotions. The four dimensions, including responsibility cognition, responsibility will, responsibility emotion and responsibility behavior have significant influences on resident participation in rural environmental governance. Residents’ sense of responsibility plays the role of an introverted driving force for them to take part in rural environmental governance, which itself helps to overcome “non-participation” behaviors of “rational smallholders” to a certain extent. Furthermore, it endows rural environmental governance with resilience. So, it is of significance to enhance rural residents’ social networks and to improve rural residents’ cognition of collective responsibility.