School of Geographic Science, Nanjing Normal University, Nanjing 210023, China.
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.
Int J Environ Res Public Health. 2021 Mar 4;18(5):2577. doi: 10.3390/ijerph18052577.
Based on the panel data of 41 cities in the Yangtze River Delta from 2008 to 2017, this paper constructs an evaluation indicators system for urban tourism eco-efficiency. By measuring the tourism eco-efficiency in the Yangtze River Delta urban agglomeration, we analyze its spatial-temporal evolution characteristics. Furthermore, the modified gravity model and social network analysis are introduced to explore the spatial network structure of tourism eco-efficiency and its evolution trend.The results show that:(1) The overall eco-efficiency of tourism in the Yangtze River Delta region presents a fluctuating downward trend, among which Jiangsu and Zhejiang have high eco-efficiency, Shanghai and Anhui are relatively low. The gap within the region first increased and then decreased. (2) During this decade, the spatial network structure of tourism eco-efficiency in the Yangtze River Delta has become increasingly loose. The weakening of the network connection strength has led to a decrease in the regional tourism eco-efficiency to a great extent. (3) The network centrality of cities such as Zhoushan, Huzhou, and Huangshan has always maintained a high level, and these cities have firmly occupied the core position of network. (4) The spatial association network of tourism eco-efficiency can be divided into four blocks: "two-way spillover", "net spillover", "net benefit" and "agent". The synergy and spillover effect between various blocks are significant, and there is a spatial polarization trend centered on a few cities. Based on this, this paper puts forward optimization suggestions for the spatial network structure of the Yangtze River Delta urban agglomeration, in anticipation of promoting the improvement of regional tourism eco-efficiency.
基于 2008 年至 2017 年长三角 41 个城市的面板数据，构建了城市旅游生态效率评价指标体系。通过测度长三角城市群旅游生态效率，分析其时空演化特征。进一步引入修正引力模型和社会网络分析方法，探讨旅游生态效率的空间网络结构及其演化趋势。结果表明：（1）长三角地区旅游整体生态效率呈波动下降趋势，其中江苏和浙江生态效率较高，上海和安徽相对较低。区域内差距先增大后减小。（2）近十年来，长三角旅游生态效率的空间网络结构日益松散，网络连接强度的减弱在很大程度上导致了区域旅游生态效率的下降。（3）舟山、湖州、黄山等城市的网络中心度一直保持在较高水平，这些城市牢牢占据着网络的核心位置。（4）旅游生态效率的空间关联网络可以分为“双向溢出”、“净溢出”、“净效益”和“主体”四个板块。各板块之间的协同和溢出效应显著，存在以少数城市为中心的空间极化趋势。在此基础上，提出了优化长三角城市群空间网络结构的建议，以期促进区域旅游生态效率的提高。
