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

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  • 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.

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  • 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
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    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
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