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Does Social Capital Promote Garbage Classification? Evidence From China

机译:社会资本推动垃圾分类吗? 来自中国的证据

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A new round of garbage classification campaign is carrying out in China. Using Chinese General Social Survey (CGSS) Data in 2013, the study focuses on the influence mechanism of social capital on garbage classification in China and the difference between urban and rural areas. Descriptive analysis, Ordered Logit model and “Coefficient clustering method” were used in this study. The results show that social capital (online social capital, social network, social trust) can effectively promote garbage classification after controlling the relevant individual characteristic variables in China. China’s garbage classification is embedded in the Chinese social environment. Further analyzing the marginal effect of social capital found that online social capital has the large marginal effect. The effect of social network is greater than the influence effect of social trust. But the marginal effect of social trust is higher than the marginal effect of social network. And social trust has the largest marginal effect. This not only makes up for the previous literature’s neglect of online social capital, marginal effect, but also illustrates the importance of online social capital. And it proves the interaction between traditional Chinese social network and modern social trust. In addition, the influence of social capital on urban and rural garbage classification is heterogeneous in China. Both social trust and social network have influence on the urban classification garbage. However, only social network have a significant influence in rural areas, and social trust has not played a role. China’s garbage classification should focus on social factors, that is, the influence of social capital. It is necessary to follow the coupling between the top-down logic of government and the bottom-up logic of society, and realize the nationwide participation. It is of great significance for promoting the sustainable development of China and the sustainable development of the world.
机译:新一轮垃圾分类活动正在中国进行。 2013年使用中国一般社会调查(CGSS)数据,研究侧重于社会资本对中国垃圾分类的影响机制及城乡区别。在本研究中使用了描述性分析,有序的Logit模型和“系数聚类方法”。结果表明,社会资本(在线社会资本,社会网络,社会信任)可以在控制中国相关个体特征变量后有效促进垃圾分类。中国的垃圾分类嵌入中国社会环境中。进一步分析社会资本的边际效应发现,在线社会资本具有大幅边际效应。社会网络的影响大于社会信任的影响力。但社会信任的边际效应高于社会网络的边际效应。和社会信任具有最大的边际效应。这不仅弥补了以前的文学的忽视在线社会资本,边际效应,而且说明了在线社会资本的重要性。它证明了中国传统社会网络与现代社会信任之间的互动。此外,社会资本对城乡垃圾分类的影响是在中国的异构。社会信任和社会网络的影响都对城市分类垃圾有影响。然而,只有社交网络在农村地区有重大影响,社会信任并没有发挥作用。中国的垃圾分类应专注于社会因素,即社会资本的影响。有必要遵循政府的自上而下逻辑与社会自下而上的逻辑之间的耦合,并实现全国范围的参与。促进中国的可持续发展和世界可持续发展具有重要意义。

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