Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index

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 inves...

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Autores principales:	Qin Ji, Jianping Yang, Qingshan He, Hongju Chen, Xiran Wang, Fan Tang, Qiuling Ge, Yanxia Wang, Feng Ding
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Beautiful Village Initiative public attention spatiotemporal evolution influencing factors China Agriculture S
Acceso en línea:	https://doaj.org/article/f9a45c72161a4c3282ba20079833c67c
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spelling	oai:doaj.org-article:f9a45c72161a4c3282ba20079833c67c2021-11-25T18:09:24ZUnderstanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index10.3390/land101111692073-445Xhttps://doaj.org/article/f9a45c72161a4c3282ba20079833c67c2021-10-01T00:00:00Zhttps://www.mdpi.com/2073-445X/10/11/1169https://doaj.org/toc/2073-445XThe 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.Qin JiJianping YangQingshan HeHongju ChenXiran WangFan TangQiuling GeYanxia WangFeng DingMDPI AGarticleBeautiful Village Initiativepublic attentionspatiotemporal evolutioninfluencing factorsChinaAgricultureSENLand, Vol 10, Iss 1169, p 1169 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Beautiful Village Initiative public attention spatiotemporal evolution influencing factors China Agriculture S
spellingShingle	Beautiful Village Initiative public attention spatiotemporal evolution influencing factors China Agriculture S Qin Ji Jianping Yang Qingshan He Hongju Chen Xiran Wang Fan Tang Qiuling Ge Yanxia Wang Feng Ding Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index
description	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.
format	article
author	Qin Ji Jianping Yang Qingshan He Hongju Chen Xiran Wang Fan Tang Qiuling Ge Yanxia Wang Feng Ding
author_facet	Qin Ji Jianping Yang Qingshan He Hongju Chen Xiran Wang Fan Tang Qiuling Ge Yanxia Wang Feng Ding
author_sort	Qin Ji
title	Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index
title_short	Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index
title_full	Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index
title_fullStr	Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index
title_full_unstemmed	Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index
title_sort	understanding public attention towards the beautiful village initiative in china and exploring the influencing factors: an empirical analysis based on the baidu index
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f9a45c72161a4c3282ba20079833c67c
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Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index

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