气候变化领域集成服务门户(CCPortal): Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index

CCPortal

DOI	10.3390/land10111169
	Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index
	Ji, Qin; Yang, Jianping; He, Qingshan; Chen, Hongju; Wang, Xiran; Tang, Fan; Ge, Qiuling; Wang, Yanxia; Ding, Feng
通讯作者	Yang, JP (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Peoples R China.
发表日期	2021
EISSN	2073-445X
卷号	10 期号:11
英文摘要	The implementation of China's Beautiful Village Initiative was an extraordinary achievement and aroused extensive public attention. However, existing research mostly focuses on the construction and seldom on public attention towards the Beautiful Village Initiative. For this reason, this paper investigated the spatiotemporal characteristics of public attention based on the Baidu index using time-constrained clustering and the spatial autocorrelation test. Our results showed that the evolutionary process can be divided into three stages: very little national attention (2011-2012), injection of a strong impetus (2013-2015), and rooted in the people's minds (2016-2020). Spatially, provincial public attention demonstrated obvious spatial differentiation and stable spatial autocorrelation, with Low-Low clusters in Northwest China and High-High Clusters in East, Central, and North China. Spatial econometric models were further utilized to quantify the effects of socioeconomic factors on public attention. The results of the SEM model proved the existence of spatial spillover effects and indicated that the urbanization rate, population density, education level, and network popularity rate all positively affected public attention. The relationship between Beautiful Village construction and public attention was uncoordinated and, in most provinces, advances in public attention were ahead of the construction level. Our findings contribute to the understanding of public attention towards the Beautiful Village Initiative, and policy suggestions we proposed would be applied to increasing public awareness and participation.
关键词	RURAL VILLAGES HERITAGE INVESTMENT POLLUTION SYSTEM POLICY LEVEL AREAS
英文关键词	Beautiful Village Initiative; public attention; spatiotemporal evolution; influencing factors; China
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Studies
WOS记录号	WOS:000725798000001
来源期刊	LAND
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254049
作者单位	[Ji, Qin; Yang, Jianping; He, Qingshan; Chen, Hongju; Tang, Fan; Ge, Qiuling; Wang, Yanxia; Ding, Feng] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Peoples R China; [Ji, Qin; He, Qingshan; Chen, Hongju; Tang, Fan; Ge, Qiuling; Wang, Yanxia; Ding, Feng] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Chen, Hongju] Chinese Acad Sci, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Peoples R China; [Wang, Xiran] Shanxi Univ, Sch Journalism & Commun, Taiyuan 030006, Peoples R China
推荐引用方式 GB/T 7714	Ji, Qin,Yang, Jianping,He, Qingshan,et al. Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index[J]. 中国科学院西北生态环境资源研究院,2021,10(11).
APA	Ji, Qin.,Yang, Jianping.,He, Qingshan.,Chen, Hongju.,Wang, Xiran.,...&Ding, Feng.(2021).Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index.LAND,10(11).
MLA	Ji, Qin,et al."Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index".LAND 10.11(2021).