摘要
以我国31个省域为研究对象,以百度指数为数据来源,运用网络关注率和基尼系数等指标,分析我国各省域节约集约用地关注率的时空特征.结果表明:自2016年以来,我国的节约集约用地关注率总体呈现不断上升的趋势,并且存在明显的区域差异,由沿海向内陆逐渐减少;节约集约用地网络关注率增长率总体上呈现出增长的趋势,其空间分布特征并不规律;通过节约集约用地关注率矩阵可以发现,明星省域和金牛省域主要集中在我国的沿海地区,瘦狗省域的分布相对分散,问题省域的分布较为连片;地均产出强度、人均GDP和城镇化对省域节约集约用地关注率的提升具有决定性影响.
Taking 31 provinces and cities in China as the research object,the baidu index is used as the data source,using the network attention rate and Gini coefficient to analyze the spatial and temporal characteristics of the attention rate of conservation and intensive land use.The results show that:since 2016,the attention rate of China's intensive land use shows an increasing trend,and there are obvious regional differences,it is gradually decreased from the coastal continent to the inland;the growth rate of the attention rate of the network of intensive land use shows a general trend of growth,and its space distribution characteristics are irregular;star provinces and cities are mainly concentrated in the coastal areas of China,and the distribution of thin dog provinces and cities is relatively scattered,and the distribution of problem provinces and cities is more contiguous;the average output intensity per capita,GDP per capita and urbanization have a decisive influence on the improvement of the attention rate of provinces and cities in saving and intensive land use.
作者
魏少彬
李航飞
陈凯
陈艳华
WEI Shao-bin;LI Hang-fei;CHEN Kai;CHEN Yan-hua(Guangdong Zhongdi Real-Estate Appraisal & Planning Design Go.Ltd,Guangzhou 510000,Guangdong,China;Global Value Chain Research Center,Zhejiang Gongshang University,Hangzhou 310018,Zhejiang,China;College of Tourism & Geography,Shaoguan University,Shaoguan 512005,Guangdong,China;Tourism School,Hainan University,Haikou 570228,Hainan,China)
出处
《西北师范大学学报(自然科学版)》
CAS
北大核心
2021年第5期89-95,共7页
Journal of Northwest Normal University(Natural Science)
基金
国家自然科学基金资助项目(41901159)
广东省哲学社会科学“十三五”规划项目(GD17CGL13)
广东省普通高校特色创新项目资助(2019WTSCX100)。
关键词
节约集约用地
百度指数
网络关注率
时空特征
saving intensive land
baidu index
network attention rate
spatio-temporal characteristics