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作 者:吴小妮 管卫华[1,2] 张惠 吴连霞[3] WU Xiaoni;GUAN Weihua;ZHANG Hui;WU Lianxia(School of Geographical Sciences,Nanjing Normal University,Nanjing 210023,China;Collaborative Innovation Center for Development and Utilization of Geographic Information Resources of Jiangsu Province,Nanjing Normal University,Nanjing 210023,China;Population Research Institute,East China Normal University,Shanghai 200241,China)
机构地区:[1]南京师范大学地理科学学院,南京210023 [2]南京师范大学江苏省地理信息资源开发与利用协同创新中心,南京210023 [3]华东师范大学人口研究所,上海200241
出 处:《地域研究与开发》2024年第5期124-131,共8页Areal Research and Development
基 金:教育部人文社会科学研究规划基金项目(19YJAZH 023);南京市社会科学基金专项项目(23YB02);中央高校基本科研业务费项目(2020ECNU-HLYT048,2022QKT001)。
摘 要:基于百度指数平台采集2012—2021年中国287个地级市的“双碳”相关网络搜索指数,运用赫芬达尔指数、多尺度地理加权回归等方法分析“双碳”网络关注度的时空差异和影响因素。结果表明:(1)时间上,中国城市“双碳”网络关注度在波动中呈上升态势,区域关注差异先增大后减小至最低水平;空间上,各城市之间网络关注度分布的不均衡性较强,总体呈现出“东—中—西”依次降低态势。(2)省域网络关注度差异程度呈现波动中不断扩大的趋势,空间集聚性不显著;六大区域关注度差异始终处于高位且呈波动上升态势,空间集聚程度呈现出平稳波动态势。(3)影响网络关注度的因素存在空间异质性。人均GDP和常住人口的正向影响效应显著,规模以上工业企业数量的负向影响呈现出南北差异格局,工业氮氧化物排放量的空间作用效应相对均衡,政策因子得分的作用效应呈现显著的东西差异。Based on the Baidu Index Platform to collect the carbon emission related network search index of 287 prefecture-level cities in China from 2012 to 2021,the spatial and temporal differences and influencing factors of carbon emission network attention was analyzed by using the coefficient of variation,Herfindahl index,and multi-scale geographic weighted regression analysis.The results are as follows:(1)In terms of time,the attention degree of China’s urban“dual carbon”network has shown an upward trend in the fluctuation,and the regional attention difference increases and then decreases to the lowest level.From a national spatial perspective,the distribution of online attention among cities is relatively unbalanced,showing a downward trend of“East-Central-West”in turn.(2)The difference degree of the provincial network attention shows an expanding trend in fluctuations.And the spatial agglomeration is not significant.The differences in attention of the six major regions are always at a high level and show a rising trend of fluctuations,and the degree of spatial agglomeration shows a trend of stable fluctuations.(3)There is spatial heterogeneity in the factors affecting the degree of network attention.The positive effect of GDP per capita and the number of permanent residents is significant,the negative effect of the number of industrial enterprises above designated size shows a“north-south”difference pattern,and the spatial effect of industrial nitrogen oxide emissions is relatively balanced.The effect of policy factor scores shows significant“east-west”differences.
关 键 词:“双碳” 百度指数 网络关注度 人口规模 多尺度地理加权回归
分 类 号:K901[历史地理—人文地理学]
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