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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The recycling of solid waste resources can effectively alleviate resource shortages and environmental pollution and can promote the sustainable development of an ecological economy and green economy. Therefore, China has set up a series of recycling policies. In order to promote the development of China’s solid waste resource recycling industry, and to be able to set up and implement correct policy documents according to real-time dynamics, this study uses NVivo software to analyze the content of 10 Core Journals’ documents screened from the China HowNet database and sets up three node classifications and four partition dimensions to build a three-dimensional model for qualitative analysis and emotional analysis. The analysis determines the existing weaknesses of China’s solid waste resource recycling policy under four dimensions and puts forward prospects for its future from these four aspects of system, capacity, measures and environment.

Details

Title
Policy Analysis on Recycling of Solid Waste Resources in China—Content Analysis Method of CNKI Literature Based on NVivo
Author
Li, Junjie 1 ; Sun, Xuehang 1 ; Dai, Xin 2   VIAFID ORCID Logo  ; Zhang, Junying 1 ; Liu, Bangfan 1   VIAFID ORCID Logo 

 School of Public Administration, Yanshan University, Qinhuangdao 066004, China; [email protected] (J.L.); [email protected] (J.Z.); Hebei Public Policy Evaluation and Research Center, Qinhuangdao 066004, China; [email protected] 
 Hebei Public Policy Evaluation and Research Center, Qinhuangdao 066004, China; [email protected]; Institute of Marxism Chinese Academy of Social Sciences, Beijing 300712, China 
First page
7919
Publication year
2022
Publication date
2022
Publisher
MDPI AG
ISSN
1661-7827
e-ISSN
1660-4601
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2686067261
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.