摘要
旅游经济快速增长和旅游业环境污染之间的矛盾日益凸显,了解旅游业在环境约束下的发展效率以及空间关联规律,可以促进旅游业向绿色、均衡、可持续发展。论文基于非期望产出Super-SBM模型计算旅游业绿色生产率:综合技术效率、纯技术效率和规模效率,应用社会网络分析法构建三种效率的空间关联网络,并应用回归分析探讨空间关联网络对效率的影响效应。结果表明:三种效率值均较高;三种空间关联网络均趋于稳定,网络个体特征在中西部差异明显;纯技术效率整体、个体网络对效率值的影响效应都较显著;规模效率整体、个体网络对效率值的影响效应都不显著。
The contradiction between the rapid growth of tourism economy and tourism environmental pollution is becoming increasingly prominent,understanding the development efficiency and spatial correlation law of tourism under environmental constraints can promote the green,balanced and sustainable development of this industry.This paper uses the undesired output Super-SBM model to calculate the green productivity of tourism industry:comprehensive technical efficiency,pure technical efficiency and scale efficiency,also uses social network analysis to construct three kinds of efficient spatial correlation networks,and discuss the effect of spatial correlation networks on efficiency by regression model.The results show that:the three kinds of efficiency values are all high;the three spatial correlation networks tend to be stable,and the individual characteristics of the network are significantly different in the central and western regions;the overall and individual structure of pure technical efficiency network have significant effects on the efficiency value;the overall and individual structure of scale efficiency network doesn’t have significant effects on the efficiency value.
作者
石薛桥
任春霞
SHI Xueqiao;REN Chunxia(School of Economics and Management,North University of China,Taiyuan Shanxi 030051,China)
出处
《生态经济》
北大核心
2022年第4期115-120,共6页
Ecological Economy
基金
山西省生态经济学会重点课题“山西省能源消费‘双控’对策研究”
山西省哲学社会科学规划课题“基于‘创新为上’的山西省专利密集型产业统计监测及发展对策研究”(2020YY147)。
关键词
旅游业
绿色生产率
空间关联网络
回归模型
tourism
green productivity
spatial correlation network
regression model
