Literature DB >> 34300127

How Effective Is the Green Development Policy of China's Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model.

Shengli Dai1, Weimin Zhang1, Jiamin Zong1, Yingying Wang1, Ge Wang1.   

Abstract

Although many countries around the world, especially China, highlight the strategy of green development, there has been little research evaluating the effectiveness of green development policies in local area. This study explores 16 policy texts with the theme of green development in the Yangtze River Economic Belt in China. Using the Policy Modeling Consistency Index (PMC-Index) model, the paper establishes a multi-input-output policy table and scientifically and systematically evaluates these policies. The results show that the average PMC index of the 16 policy texts is 6.83, indicating a high overall quality of policy texts. The index identifies two states of policy effectiveness as being good and excellent; 50% of the total texts fall into these categories and do not fall into the category of having a low level of policy effectiveness. Five indicators, including policy timeliness, social benefits, policy audience scope, and incentives and constraints, significantly impact the PMC-Index of the policy. Six representative policy samples were selected and analyzed. The advantages and disadvantages of the policy can be more fully understood by the degree of depression of the PMC's three-dimensional curved surface (PMC-Surface) model. Finally, the paper provides theoretical recommendations for the optimization of the green development policies.

Entities:  

Keywords:  PMC-Index model; Yangtze River Economic Belt; green development; policy text; quantitative evaluation

Year:  2021        PMID: 34300127     DOI: 10.3390/ijerph18147676

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  4 in total

1.  Quantitative Evaluation of Waste Separation Management Policies in the Yangtze River Delta Based on the PMC Index Model.

Authors:  Fang Liu; Zhi Liu
Journal:  Int J Environ Res Public Health       Date:  2022-03-23       Impact factor: 3.390

2.  A Document Analysis of Peak Carbon Emissions and Carbon Neutrality Policies Based on a PMC Index Model in China.

Authors:  Chenrui Lu; Bing Wang; Tinggui Chen; Jianjun Yang
Journal:  Int J Environ Res Public Health       Date:  2022-07-29       Impact factor: 4.614

3.  Quantitative Evaluation of China's Ecological Protection Compensation Policy Based on PMC Index Model.

Authors:  Shengli Dai; Weimin Zhang; Linshan Lan
Journal:  Int J Environ Res Public Health       Date:  2022-08-17       Impact factor: 4.614

4.  Research on Emergency Response Policy for Public Health Emergencies in China-Based on Content Analysis of Policy Text and PMC-Index Model.

Authors:  Ying Zhao; Lin Wu
Journal:  Int J Environ Res Public Health       Date:  2022-10-09       Impact factor: 4.614

  4 in total

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