Proceedings of the 2024 4th International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2024)

Research on the Optimization of Domestic Waste Classification Policy: An Analysis Based on the Institutional Grammar Tool

Authors
Shiyun Chen1, *
1School of Public Administration, Southwest Jiaotong University, Chengdu, Sichuan, China
*Corresponding author. Email: chensy_0928@163.com
Corresponding Author
Shiyun Chen
Available Online 1 December 2024.
DOI
10.2991/978-2-38476-311-5_41How to use a DOI?
Keywords
domestic waste classification policy; institutional grammar; policy optimization
Abstract

Governments at all levels have gradually begun to focus on domestic waste classification as an effective waste management strategy. Nevertheless, there are still many obstacles to overcome in order to apply the current domestic waste classification policies, which leads to less-than-ideal policy results. In order to identify the institutional components and problems in the domestic waste classification policy texts from eight cities in Sichuan Province, this research uses the institutional grammar tool to methodically code and analyse the policy documents. The results show that normative statements make up the majority of the policies of the local governments, with strategic and rule-based statements serving as a supplement. The analysis identifies shortcomings such a lack of incentive systems, insufficient accountability mechanisms, and insufficient behavioural limitations on autotrophs. In order to increase the efficacy and sustainability of policy implementation, this study makes recommendations for policy optimization that include improving rule-based statements, balancing the roles of various stakeholders, and increasing incentive systems.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 4th International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
1 December 2024
ISBN
978-2-38476-311-5
ISSN
2352-5398
DOI
10.2991/978-2-38476-311-5_41How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Shiyun Chen
PY  - 2024
DA  - 2024/12/01
TI  - Research on the Optimization of Domestic Waste Classification Policy: An Analysis Based on the Institutional Grammar Tool
BT  - Proceedings of the 2024 4th International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2024)
PB  - Atlantis Press
SP  - 326
EP  - 332
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-311-5_41
DO  - 10.2991/978-2-38476-311-5_41
ID  - Chen2024
ER  -