Evaluating China’s Common Prosperity Policies against the Background of Green Development by Using the PMC Model

Ma, Xiangfei; Ruan, Yifan; Yang, Qiying

doi:10.3390/su15107870

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…According to the calculation results of the PMC index and referring to the research of Ma et al, the policy evaluation of the PMC index can be divided into four grades [26] (see Table 3).…”

Section: Z:n [0~1]mentioning

confidence: 99%

“…It enables the analysis of the consistency level within policies by constructing a binary scoring model and without limiting the number and weight of indicators [24]. The PMC index method has become one of the important methods for policy quantitative evaluation research, and its application scope covers many fields, such as environmental science [25] and economics [26].…”

Section: Introduction Of Pmc Modelmentioning

confidence: 99%

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Quantitative Evaluation of Carbon Reduction Policy Based on the Background of Global Climate Change

Meng,

2023

Sustainability

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High-quality carbon reduction policies play a crucial role in tackling global climate change and reducing carbon dioxide emissions. China, as the world’s largest emitter of carbon dioxide, has committed to peaking its carbon emission by 2030. This study focuses on the evaluation of 12 carbon reduction policies implemented by the Chinese government. A quantitative evaluation index system for carbon reduction policies was designed. Next, the policy modeling consistency (PMC) index method was utilized to assess the quality of these policies. The findings are as follows: Firstly, the average PMC index value of the 12 carbon reduction policies is 6.75, indicating a good performance overall. Secondly, the carbon reduction policies established by the Chinese government are generally effective; among the twelve policies analyzed, one policy received a perfect evaluation grade, four policies were graded as excellent, six policies were graded as good, and one policy received a bad evaluation grade. Thirdly, the indicators Z3, Z4, Z5, and Z9 in the evaluation index system for carbon reduction policies scored relatively low, suggesting that there are some deficiencies in terms of policy timeliness, issuing institutions, policy tools, and policy evaluation within the 12 policies. Fourthly, this study presents a PMC curved surface diagram to visually illustrate the strengths and weaknesses of the carbon reduction policies. Finally, based on the research findings, recommendations are provided to enhance the quality of carbon reduction policies.

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“…According to the calculation results of the PMC index and referring to the research of Ma et al, the policy evaluation of the PMC index can be divided into four grades [26] (see Table 3).…”

Section: Z:n [0~1]mentioning

confidence: 99%

Section: Introduction Of Pmc Modelmentioning

confidence: 99%

Quantitative Evaluation of Carbon Reduction Policy Based on the Background of Global Climate Change

Meng,

2023

Sustainability

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A Quantitative Evaluation Study on Return-to-Hometown Entrepreneurship Policies in 16 Provinces (Municipalities) and Autonomous Regions in China Under the Rural Revitalization Strategy

Li,

Zhang,

Huang

et al. 2024

Sustainability

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The Rural Revitalization Strategy is an important policy enacted by the Chinese government, aimed at bridging the disparity between urban and rural areas while enhancing economic, cultural, and social development levels in rural areas. Research evaluating return-to-hometown entrepreneurship policies is pivotal for facilitating the sustained flow and comprehensive sustainable development of capital, technology, and talent to rural areas within the Rural Revitalization Strategy framework. This study employs NVivo12 and the policy modeling consistency (PMC) index to analyze trends, characteristics, and policy tool utilization quantitatively, as well as regional differences or commonalities in 55 return-to-hometown entrepreneurship policies of 16 provinces and autonomous regions in China from 2013 to 2023. The content analysis of these policy texts reveals trends characterized by multistakeholder participation, an increasing emphasis on technology integration, and increased efforts toward talent retention. Overall, the results of the PMC model analysis indicate that the scores for return-to-hometown entrepreneurship policies across 16 provinces (municipalities and autonomous regions) are relatively high in terms of the indices of policy field, policy content, and policy tools, whereas the scores are comparatively low in terms of the indices of policy nature and policy timeliness. The remaining indices present moderate scores with slight differences. When examining the average scores between the eastern and central-western regions, it is observed that there is only a very slight difference in the index of policy timeliness and policy implementation. Additionally, the performance of eastern regions is superior in terms of the index of policy issuer, policy functions, and policy content. However, central-western regions demonstrate higher scores in the indices of policy nature, policy field, policy tools, and policy evaluation.

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Evaluation of Incentive Policy for Intelligent Construction in Shenyang Based on Policy Modeling Consistency Index Model

Qi,

Li,

Kong

2024

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">Intelligent construction has become an important way to accelerate the transformation and upgrading of the construction industry and promote the high-quality development of the construction industry. As a national pilot city of intelligent construction, Shenyang needs effective policy system support for the development of intelligent construction. Quantitative research of policy text can provide a decision-making basis and path optimization suggestions for formulating and improving intelligent construction incentive policies (ICIP) in Shenyang. This study uses text mining and the Policy Modeling Consistency index (PMC index) model to construct an intelligent construction policy index system. Then it combines the PMC index and PMC surface to evaluate and analyze the text of ICIP in Shenyang quantitatively. The results show that there is still room for improvement in the ICIP in Shenyang. Accordingly, countermeasures and suggestions are put forward for policymakers, enterprises, and industry associations.</div></div>

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Evaluating China’s Common Prosperity Policies against the Background of Green Development by Using the PMC Model

Cited by 3 publications

References 25 publications

Quantitative Evaluation of Carbon Reduction Policy Based on the Background of Global Climate Change

Quantitative Evaluation of Carbon Reduction Policy Based on the Background of Global Climate Change

A Quantitative Evaluation Study on Return-to-Hometown Entrepreneurship Policies in 16 Provinces (Municipalities) and Autonomous Regions in China Under the Rural Revitalization Strategy

Evaluation of Incentive Policy for Intelligent Construction in Shenyang Based on Policy Modeling Consistency Index Model

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