摘要
在“双碳”目标背景下,旅游业如何实现绿色发展成为公众高度关注的问题。文章构建了河北省旅游业绿色发展水平指标体系,通过熵权TOPSIS法、核密度估计法和马尔科夫链方法研究了2012—2022年河北省旅游业绿色发展水平的动态演进特征,并采用Tobit模型分析了河北省旅游业绿色发展的影响因素。结果表明:河北省旅游业绿色发展水平整体呈现出增长态势,省内各区域旅游业绿色发展水平存在差异,并且具有显著的空间依赖特征。人均收入、城镇化水平、数字经济发展水平和技术创新水平皆对河北省旅游业绿色发展水平具有显著正向影响。
In the context of the“dual carbon”target,how to achieve green development in the tourism industry has become a public concern.The article constructs an indicator system for the green development level of tourism industry in Hebei Province,and studies the spatiotemporal evolution characteristics of the green development level of tourism industry in Hebei Province from 2012 to 2022 through entropy weight TOPSIS method,kernel density estimation method,and Markov chain method.The Tobit model is used to analyze the influencing factors of green development of tourism industry in Hebei Province.The results indicate that the overall level of green development in the tourism industry in Hebei Province is showing an increasing trend,and there are differences in the level of green development in the tourism industry among different regions within the province,with significant spatial dependence characteristics.Per capita income,urbanization level,digital economy development level,and technological innovation level all have a significant positive impact on the green development level of tourism industry in Hebei Province.
作者
李凯伦
尚雅楠
李亚洁
潘伊子欣
LI Kailun;SHANG Yanan;LI Yajie;PAN Yizixin(School of Management Engineering and Business,Hebei University of Engineering,Handan,Hebei 056038,China)
出处
《河北工程大学学报(社会科学版)》
2025年第2期31-40,共10页
Journal of Hebei University of Engineering(Social Science Edition)
基金
河北省社科基金项目(编号:HB23YJ045)
河北省社会科学发展研究课题(编号:202402070)。
关键词
旅游业绿色发展
熵权TOPSIS法
核密度估计法
马尔科夫链法
TOBIT模型
green development of tourism industry
entropy weight TOPSIS method
kernel density estimation method
Markov chain method
Tobit model
