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出 处:《长沙大学学报》2017年第5期75-80,共6页Journal of Changsha University
基 金:湖南省自然科学基金项目"湖南省低碳技术创新机制研究"(批准号:2016JJ4022);长沙市科技专项项目"长沙市低碳技术创新政策体系研究"(批准号:35454664)
摘 要:居民的低碳消费是发展低碳经济的重要内容之一.在公共政策视角下,基于长沙市城市居民的调查数据,利用Binary Logistic回归模型对城市居民低碳消费意愿的影响因素进行实证分析.研究发现,政府宣传与教育政策、碳消费税政策对低碳消费意愿有显著正影响,价格补贴政策对低碳消费意愿有显著负影响.因此,为促进城市居民的低碳消费,政府要加强低碳消费的宣传与教育力度,加大实施价格补贴和碳消费税政策力度,加快完善城市低碳消费基础设施.The low-carbon consumption of residents is one of important contents of developing low-carbon economy. In the perspective of public policy,Binary Logistic regression model is used to empirically analyze the factors affecting the low-carbon consumption intention of urban residents based on the survey data of urban residents in Changsha. The results show that the government propaganda and education policy and the carbon consumption tax policy have a significant positive impact on the low-carbon consumption intention,and the price subsidy policy has a significant negative impact on the low-carbon consumption intention. Therefore,in order to promote the low-carbon consumption of urban residents,the government should strengthen the propaganda and education of low-carbon consumption,intensify the implementation of price subsidy policy and carbon consumption tax policy,and accelerate the improvement of urban low-carbon consumption infrastructure.
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