IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i11p1169-d669533.html
   My bibliography  Save this article

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

Author

Listed:
  • Qin Ji

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jianping Yang

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

  • Qingshan He

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Hongju Chen

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Key Laboratory of Ecohydrology of Inland River Basin, Chinese Academy of Sciences, Lanzhou 730000, China)

  • Xiran Wang

    (The School of Journalism and Communication, Shanxi University, Taiyuan 030006, China)

  • Fan Tang

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Qiuling Ge

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yanxia Wang

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Feng Ding

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

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.

Suggested Citation

  • Qin Ji & Jianping Yang & Qingshan He & Hongju Chen & Xiran Wang & Fan Tang & Qiuling Ge & Yanxia Wang & Feng Ding, 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, MDPI, vol. 10(11), pages 1-21, October.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1169-:d:669533
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/11/1169/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/11/1169/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lisu Chen & Qiong Wei & Qiang Fu & Daolun Feng, 2021. "Spatiotemporal Evolution Analysis of Habitat Quality under High-Speed Urbanization: A Case Study of Urban Core Area of China Lin-Gang Free Trade Zone (2002–2019)," Land, MDPI, vol. 10(2), pages 1-21, February.
    2. Jungwon Yeo & Claire Connolly Knox, 2019. "Public Attention to a Local Disaster Versus Competing Focusing Events: Google Trends Analysis Following the 2016 Louisiana Flood," Social Science Quarterly, Southwestern Social Science Association, vol. 100(7), pages 2542-2554, December.
    3. Wei Li & Yang Zhou & Zhanwei Zhang, 2021. "Culture-Led Plan for Peri-Urban Agricultural Sustainability: A Case of Pu’an Village in China," Land, MDPI, vol. 10(3), pages 1-10, March.
    4. Wang, Chen & Chu, Zhongzhu & Gu, Wei, 2021. "Assessing the role of public attention in China's wastewater treatment: A spatial perspective," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    5. Swamy, Vighneswara & Dharani, M. & Takeda, Fumiko, 2019. "Investor attention and Google Search Volume Index: Evidence from an emerging market using quantile regression analysis," Research in International Business and Finance, Elsevier, vol. 50(C), pages 1-17.
    6. Chenxi Liu & Fan Wang & Xihong Gao & Harry Smith, 2021. "Exploring Solutions to Improve the Evaluation of Development of Rural Villages: A Case Study of the Application of the Evaluation for the Construction of Beautiful Villages (ECBV) in a Village in Sout," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
    7. Chunliu Gao & Li Cheng & Javed Iqbal & Deqiang Cheng, 2019. "An Integrated Rural Development Mode Based on a Tourism-Oriented Approach: Exploring the Beautiful Village Project in China," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    8. Tian, Wei & Song, Jitian & Li, Zhanyong, 2014. "Spatial regression analysis of domestic energy in urban areas," Energy, Elsevier, vol. 76(C), pages 629-640.
    9. Wei Qi & Lin Li & Jie Zhong & Guangdong Wu, 2021. "Value Preferences and Intergenerational Differences of Tourists to Traditional Chinese Villages," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-16, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mingxiao Dai, 2024. "How to Enhance Public Participation in Environmental Governance? Evidence from China," Sustainability, MDPI, vol. 16(8), pages 1-18, April.
    2. Fei Ma & Yujie Zhu & Kum Fai Yuen & Qipeng Sun & Haonan He & Xiaobo Xu & Zhen Shang & Yan Xu, 2022. "Exploring the Spatiotemporal Evolution and Sustainable Driving Factors of Information Flow Network: A Public Search Attention Perspective," IJERPH, MDPI, vol. 19(1), pages 1-25, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qiulin Chen & Bo Wang & Gang Fu, 2023. "Impact of Village Governance Quality on the Satisfaction of Farmers’ Life Experiences," Sustainability, MDPI, vol. 15(3), pages 1-13, January.
    2. Qinglan Liu & Longjian Yang & Miying Yang, 2021. "Digitalisation for Water Sustainability: Barriers to Implementing Circular Economy in Smart Water Management," Sustainability, MDPI, vol. 13(21), pages 1-28, October.
    3. Wenbo Li & Dongyan Wang & Qing Wang & Shuhan Liu & Yuanli Zhu & Wenjun Wu, 2017. "Impacts from Land Use Pattern on Spatial Distribution of Cultivated Soil Heavy Metal Pollution in Typical Rural-Urban Fringe of Northeast China," IJERPH, MDPI, vol. 14(3), pages 1-14, March.
    4. Perroni, Carlo & Scharf, Kimberley & Talavera, Oleksandr & Vi, Linh, 2022. "Does online salience predict charitable giving? Evidence from SMS text donations," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 134-149.
    5. Wang, Na & Fu, Xiaodong & Wang, Shaobin & Yang, Hao & Li, Zhen, 2022. "Convergence characteristics and distribution patterns of residential electricity consumption in China: An urban-rural gap perspective," Energy, Elsevier, vol. 254(PB).
    6. Shen Zhao & Yong Xu, 2019. "Exploring the Spatial Variation Characteristics and Influencing Factors of PM 2.5 Pollution in China: Evidence from 289 Chinese Cities," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    7. Shi, Luyang & Luo, Zhiwen & Matthews, Wendy & Wang, Zixuan & Li, Yuguo & Liu, Jing, 2019. "Impacts of urban microclimate on summertime sensible and latent energy demand for cooling in residential buildings of Hong Kong," Energy, Elsevier, vol. 189(C).
    8. Montgomery, J.B. & O’Sullivan, F.M., 2017. "Spatial variability of tight oil well productivity and the impact of technology," Applied Energy, Elsevier, vol. 195(C), pages 344-355.
    9. Cabral, Joilson de Assis & Legey, Luiz Fernando Loureiro & Freitas Cabral, Maria Viviana de, 2017. "Electricity consumption forecasting in Brazil: A spatial econometrics approach," Energy, Elsevier, vol. 126(C), pages 124-131.
    10. Selima Sultana & Nastaran Pourebrahim & Hyojin Kim, 2018. "Household Energy Expenditures in North Carolina: A Geographically Weighted Regression Approach," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    11. Ningling Xie & Bin Cheng, 2023. "The Impact of Urban Expressways on the Street Space of Traditional Tibetan Villages in Kham, Taking Daofu County as an Example," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    12. Yanyu Wang & Robert Tian, 2023. "Development of Rural Regions in China: Evidence of Industry Integration by the Residents of Yongan Village (Quanzhou City, China)," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    13. Chen, Qitong & Zhu, Huiming & Yu, Dongwei & Hau, Liya, 2022. "How does investor attention matter for crude oil prices and returns? Evidence from time-frequency quantile causality analysis," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    14. Huiping Wang & Peiling Liu, 2023. "Spatial Correlation Network of Energy Consumption and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    15. Zhang, Li & Liang, Chao & Huynh, Luu Duc Toan & Wang, Lu & Damette, Olivier, 2024. "Measuring the impact of climate risk on renewable energy stock volatility: A case study of G20 economies," Journal of Economic Behavior & Organization, Elsevier, vol. 223(C), pages 168-184.
    16. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Saleem, Owais & Adeoye, Habeeb A., 2022. "Asymmetric connectedness between Google-based investor attention and the fourth industrial revolution assets: The case of FinTech and Robotics & Artificial intelligence stocks," Technology in Society, Elsevier, vol. 68(C).
    17. Ran Li & Liang Mao, 2022. "Spatial Characteristics of Suburban Villages Based on Spatial Syntax," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    18. Michael Olumekor & Hossam Haddad & Nidal Mahmoud Al-Ramahi, 2023. "The Relationship between Search Engines and Entrepreneurship Development: A Granger-VECM Approach," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    19. Zhou, Bo & Ding, Hao, 2023. "How public attention drives corporate environmental protection: Effects and channels," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    20. Xia, Hui & Dai, Ling & Sun, Liping & Chen, Xi & Li, Yuening & Zheng, Yihan & Peng, Yanlai & Wu, Kaiya, 2023. "Analysis of the spatiotemporal distribution pattern and driving factors of renewable energy power generation in China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 414-428.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1169-:d:669533. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.