IDEAS home Printed from https://ideas.repec.org/a/sae/engenv/v35y2024i3p1616-1636.html
   My bibliography  Save this article

Transmission mechanism of public concern in waste-sorting policy: Evidence from text mining

Author

Listed:
  • Binfeng Shi

Abstract

An escalating amount of urban waste poses a significant threat to the sustainable growth of cities. Therefore, a waste-sorting policy is crucial for the advancement of humankind. The implementation of a waste-sorting policy relies heavily on public participation to ensure effective governance. This study examines public participation in urban waste-sorting by mining more than 580,000 microblog texts related to waste-sorting from 2012 to 2022, using data from Sina Weibo, China's leading social media platform. My findings indicate that (1) residents’ attention to and support for mandatory waste-sorting policies varies by region; (2) widespread public interest stimulates publicity, education, and commercial entertainment related to waste-sorting policies and investment in thematically related sectors; (3) residents in regions with high education and income levels are more likely to generate waste and pay greater attention to waste-sorting policies; and (4) the promotion of waste-sorting policies affects knowledge dissemination. This study combines textual analysis and econometric techniques to offer a fresh perspective on the significance of public participation in promoting waste-sorting policies. It serves as an invaluable resource for governments to implement waste-sorting policies.

Suggested Citation

  • Binfeng Shi, 2024. "Transmission mechanism of public concern in waste-sorting policy: Evidence from text mining," Energy & Environment, , vol. 35(3), pages 1616-1636, May.
  • Handle: RePEc:sae:engenv:v:35:y:2024:i:3:p:1616-1636
    DOI: 10.1177/0958305X231217634
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0958305X231217634
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0958305X231217634?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tingjiang, Tan & Enyuan, Wang & Ke, Zhao & Changfang, Guo, 2023. "Research on assisting coal mine hazard investigation for accident prevention through text mining and deep learning," Resources Policy, Elsevier, vol. 85(PB).
    2. Zhang, Hua & Xu, Tiantian & Feng, Chao, 2022. "Does public participation promote environmental efficiency? Evidence from a quasi-natural experiment of environmental information disclosure in China," Energy Economics, Elsevier, vol. 108(C).
    3. Min-hua Huang & Taehee Whang & Lei Xuchuan, 2017. "The Internet, Social Capital, and Civic Engagement in Asia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(2), pages 559-578, June.
    4. Xiaodi Xu & Zilong Wang & Bingyang Zhou & Zhiwen Zhang, 2019. "The empirical analysis of knowledge spillover effect measurement," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 17(1), pages 83-95, January.
    5. Daniel Preoţiuc-Pietro & Svitlana Volkova & Vasileios Lampos & Yoram Bachrach & Nikolaos Aletras, 2015. "Studying User Income through Language, Behaviour and Affect in Social Media," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-17, September.
    6. Alessio D'Amato & Massimiliano Mazzanti & Francesco Nicolli & Mariangela Zoli, 2014. "Illegal Waste Disposal, Territorial Enforcement and Policy. Evidence from regional data," SEEDS Working Papers 0314, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Feb 2014.
    7. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
    8. Md. Saiful Islam, 2020. "Human Capital and Per Capita Income Linkage in South Asia: A Heterogeneous Dynamic Panel Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(4), pages 1614-1629, December.
    9. Massimiliano Agovino & Maria Ferrara & Katia Marchesano & Antonio Garofalo, 2020. "The separate collection of recyclable waste materials as a flywheel for the circular economy: the role of institutional quality and socio-economic factors," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 659-681, July.
    10. Huajie Wang & Herong Gui & Chong Ren & Guijian Liu, 2021. "Factors Influencing Urban Residents’ Intention of Garbage Sorting in China: An Extended TPB by Integrating Expectancy Theory and Norm Activation Model," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
    11. Yuehua Zhao & Jin Zhang & Min Wu, 2019. "Finding Users’ Voice on Social Media: An Investigation of Online Support Groups for Autism-Affected Users on Facebook," IJERPH, MDPI, vol. 16(23), pages 1-13, November.
    Full references (including those not matched with items on IDEAS)

    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. Jiajia Guo & Xin Shen, 2024. "Does Digitalization Facilitate Environmental Governance Performance? An Empirical Analysis Based on the PLS-SEM Model in China," Sustainability, MDPI, vol. 16(7), pages 1-19, April.
    2. Lee, Shin, 2018. "Transport policies, induced traffic and their influence on vehicle emissions in developed and developing countries," Energy Policy, Elsevier, vol. 121(C), pages 264-274.
    3. Salman, Muhammad & Long, Xingle & Wang, Guimei & Zha, Donglan, 2022. "Paris climate agreement and global environmental efficiency: New evidence from fuzzy regression discontinuity design," Energy Policy, Elsevier, vol. 168(C).
    4. Zhao, Xing & Guo, Yifan & Feng, Tianchu, 2023. "Towards green recovery: Natural resources utilization efficiency under the impact of environmental information disclosure," Resources Policy, Elsevier, vol. 83(C).
    5. Mohamed Mabrouki, 2023. "Patent, Education, Human Capital, and Economic Growth in Scandinavian Countries: a Dynamic Panel CS-ARDL Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(3), pages 3028-3043, September.
    6. Zhang, Qixin & Xiang, Zhiqiang, 2024. "New media surveillance, environmental information uncertainty and corporate environmental information disclosure," International Review of Economics & Finance, Elsevier, vol. 95(C).
    7. González, Rosa Marina & Marrero, Gustavo A. & Rodríguez-López, Jesús & Marrero, Ángel S., 2019. "Analyzing CO2 emissions from passenger cars in Europe: A dynamic panel data approach," Energy Policy, Elsevier, vol. 129(C), pages 1271-1281.
    8. Uktam Umurzakov & Shakhnoza Tosheva & Raufhon Salahodjaev, 2023. "Tourism and Sustainable Economic Development: Evidence from Belt and Road Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 503-516, March.
    9. Wu, Guoyong & Gao, Yue & Feng, Yanchao, 2023. "Assessing the environmental effects of the supporting policies for mineral resource-exhausted cities in China," Resources Policy, Elsevier, vol. 85(PB).
    10. Baihui Jin & Wei Li, 2023. "External Factors Impacting Residents’ Participation in Waste Sorting Using NCA and fsQCA Methods on Pilot Cities in China," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
    11. Hui Li & Dongsheng Yu & Zhixuan Ke, 2023. "Commercial System Reform, Enterprise Green Innovation and Enterprise ESG Performance," Sustainability, MDPI, vol. 15(19), pages 1-19, October.
    12. Mengxue Ji & Zhenming Wu & Dandan Zhu, 2023. "Environmental Vertical Management and Enterprises’ Performance: Evidence from Water Pollution Reduction in China," Sustainability, MDPI, vol. 15(19), pages 1-17, September.
    13. Jafari, Mahboubeh & Stern, David I. & Bruns, Stephan B., 2022. "How large is the economy-wide rebound effect in middle income countries? Evidence from Iran," Ecological Economics, Elsevier, vol. 193(C).
    14. Pavel Bachmann, 2020. "Caregivers’ Experience of Caring for a Family Member with Alzheimer’s Disease: A Content Analysis of Longitudinal Social Media Communication," IJERPH, MDPI, vol. 17(12), pages 1-22, June.
    15. Yanlan Mei & Yan Tu & Kefan Xie & Yicheng Ye & Wenjing Shen, 2019. "Internet Public Opinion Risk Grading under Emergency Event Based on AHPSort II-DEMATEL," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    16. Md. Saiful Islam, 2022. "Do personal remittances influence economic growth in South Asia? A panel analysis," Review of Development Economics, Wiley Blackwell, vol. 26(1), pages 242-258, February.
    17. Goldschmidt, Rüdiger & Richter, Andreas & Pfeil, Raphael, 2019. "Active stakeholder involvement and organisational tasks as factors for an effective communication and governance strategy in the promotion of e-taxis. Results from a field research lab," Energy Policy, Elsevier, vol. 135(C).
    18. Feng, Chao & Zhong, Siqi & Wang, Miao, 2024. "How can green finance promote the transformation of China's economic growth momentum? A perspective from internal structures of green total-factor productivity," Research in International Business and Finance, Elsevier, vol. 70(PA).
    19. Usman Akbar & Muhammad Asif Khan & Marryum Akmal & Éva Zsuzsanna Tóth Naárné & Judit Oláh, 2020. "Trade-Offs for the Optimal Energy Efficiency of Road Transportation: Domestic Cases in Developing Countries," Energies, MDPI, vol. 13(24), pages 1-14, December.
    20. Fabio Zagonari, 2024. "Both religious and secular ethics to achieve both happiness and health: Panel data results based on a dynamic theoretical model," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-24, April.

    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:sae:engenv:v:35:y:2024:i:3:p:1616-1636. 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: SAGE Publications (email available below). General contact details of provider: .

    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.