IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p7870-d1144492.html
   My bibliography  Save this article

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

Author

Listed:
  • Xiangfei Ma

    (School of Marxism, China University of Geosciences, Wuhan 430074, China)

  • Yifan Ruan

    (School of Marxism, China University of Geosciences, Wuhan 430074, China)

  • Qiying Yang

    (Institute for Advanced Marine Reserach CUG, Guangzhou 511400, China)

Abstract

Green development is the background of common prosperity and is important for the sustainable development of China. The purpose of this paper is to quantitatively evaluate China’s common prosperity policies to understand the advantages and disadvantages of common prosperity policies. In this paper, 15 representative common prosperity policies are research subjects, and this study uses the PMC (Policy Modeling Consistency) index method to assess the quality of common prosperity policies in China. This study, firstly, finds that the average value of the 15 common prosperity policies is 6.47, evaluated as a good grade. Secondly, 80% of policies are evaluated as a good or excellent grade, which means that the quality of the policy making of 80% of policies is at least good. Except for policy prescription, policy subject and policy incentive, the values of other first-level indicators are all greater than six, indicating that the Chinese government’s formulation level of common prosperity policies is relatively high. Thirdly, among fifteen common prosperity policies, one policy is evaluated as a perfect grade (quality of policy making is very good), four policies are evaluated as excellent (quality of policy making is better than required), eight policies are evaluated as good (quality of policy making is good) and two policies are evaluated as bad (quality of policy making is bad). Fourthly, by drawing figures composed of PMC curves, this paper analyzes common prosperity policies of different grades. Finally, some suggestions are proposed in this study to improve China’s common prosperity policies.

Suggested Citation

  • Xiangfei Ma & Yifan Ruan & Qiying Yang, 2023. "Evaluating China’s Common Prosperity Policies against the Background of Green Development by Using the PMC Model," Sustainability, MDPI, vol. 15(10), pages 1-13, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7870-:d:1144492
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/7870/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/10/7870/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qing Yang & Xingzi Wan & Huimin Ma, 2015. "Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    2. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    3. Chaofan Chen & Jing Han & Peilei Fan, 2016. "Measuring the Level of Industrial Green Development and Exploring Its Influencing Factors: Empirical Evidence from China’s 30 Provinces," Sustainability, MDPI, vol. 8(2), pages 1-20, February.
    4. Kangni Lyu & Shuwang Yang & Kun Zheng & Yao Zhang, 2023. "How Does the Digital Economy Affect Carbon Emission Efficiency? Evidence from Energy Consumption and Industrial Value Chain," Energies, MDPI, vol. 16(2), pages 1-20, January.
    5. Mei Zhang & Xinliang Wang, 2023. "Measurement of Common Prosperity of Chinese Rural Households Using Graded Response Models: Evidence from Zhejiang Province," IJERPH, MDPI, vol. 20(5), pages 1-16, March.
    6. Heng Li & Shangguang Yang, 2023. "The Road to Common Prosperity: Can the Digital Countryside Construction Increase Household Income?," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    7. Lv, Chengchao & Song, Jie & Lee, Chien-Chiang, 2022. "Can digital finance narrow the regional disparities in the quality of economic growth? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 502-521.
    8. Noémi Kreif & Richard Grieve & Dominik Hangartner & Alex James Turner & Silviya Nikolova & Matt Sutton, 2016. "Examination of the Synthetic Control Method for Evaluating Health Policies with Multiple Treated Units," Health Economics, John Wiley & Sons, Ltd., vol. 25(12), pages 1514-1528, December.
    9. Molero-Simarro, Ricardo, 2017. "Inequality in China revisited. The effect of functional distribution of income on urban top incomes, the urban-rural gap and the Gini index, 1978–2015," China Economic Review, Elsevier, vol. 42(C), pages 101-117.
    10. Xiang-Fei Ma & Yi-Fan Ruan, 2023. "How to Evaluate Green Development Policy Based on the PMC Index Model: Evidence from China," IJERPH, MDPI, vol. 20(5), pages 1-13, February.
    11. Shengli Dai & Weimin Zhang & Jiamin Zong & Yingying Wang & Ge Wang, 2021. "How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chenrui Lu & Bing Wang & Tinggui Chen & Jianjun Yang, 2022. "A Document Analysis of Peak Carbon Emissions and Carbon Neutrality Policies Based on a PMC Index Model in China," IJERPH, MDPI, vol. 19(15), pages 1-16, July.
    2. Jianglong Li & Boqiang Lin, 2016. "Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    3. Chen, Jiandong & Huang, Shasha & Shen, Zhiyang & Song, Malin & Zhu, Zunhong, 2022. "Impact of sulfur dioxide emissions trading pilot scheme on pollution emissions intensity: A study based on the synthetic control method," Energy Policy, Elsevier, vol. 161(C).
    4. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    5. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2020. "Ensuring Stability, Accuracy and Meaningfulness in Synthetic Control Methods: The Regularized SHAP-Distance Method," IREA Working Papers 202005, University of Barcelona, Research Institute of Applied Economics, revised Apr 2020.
    6. Wang, Zheng-Xin & Jv, Yue-Qi, 2023. "Revisiting income inequality among households: New evidence from the Chinese Household Income Project," China Economic Review, Elsevier, vol. 81(C).
    7. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    8. Irene Botosaru & Bruno Ferman, 2019. "On the role of covariates in the synthetic control method," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 117-130.
    9. Lee, Chien-Chiang & Qian, Anqi, 2024. "Regional differences, dynamic evolution, and obstacle factors of cultivated land ecological security in China," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    10. Kai Zhou & Xiang Yuan & Ziyuan Guo & Jianrui Wu & Ruijia Li, 2024. "Research on Sustainable Port: Evaluation of Green Port Policies on China’s Coasts," Sustainability, MDPI, vol. 16(10), pages 1-25, May.
    11. Fei Yang & Chunchen Wang, 2023. "Clean energy, emission trading policy, and CO2 emissions: Evidence from China," Energy & Environment, , vol. 34(5), pages 1657-1673, August.
    12. Jin Zhu & Dequn Zhou & Zhengning Pu & Huaping Sun, 2019. "A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
    13. Camilla Beck Olsen & Hans Olav Melberg, 2018. "Did adolescents in Norway respond to the elimination of copayments for general practitioner services?," Health Economics, John Wiley & Sons, Ltd., vol. 27(7), pages 1120-1130, July.
    14. Yong Liu & Cuihong Long, 2021. "Urban and Rural Income Gap: Does Urban Spatial Form Matter in China?," SAGE Open, , vol. 11(1), pages 21582440211, March.
    15. Jinhan Yu & Licheng Sun, 2022. "Supply Chain Emission Reduction Decisions, Considering Overconfidence under Conditions of Carbon Trading Price Volatility," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    16. López-Cazar, Ibeth & Papyrakis, Elissaios & Pellegrini, Lorenzo, 2021. "The Extractive Industries Transparency Initiative (EITI) and corruption in Latin America: Evidence from Colombia, Guatemala, Honduras, Peru, and Trinidad and Tobago," Resources Policy, Elsevier, vol. 70(C).
    17. Lyu Jun & Shuang Lu & Xiang Li & Zeng Li & Chenglong Cao, 2023. "Spatio-Temporal Characteristics of Industrial Carbon Emission Efficiency and Their Impacts from Digital Economy at Chinese Prefecture-Level Cities," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    18. Chendi Li & Lei Wang & Yang Liu, 2023. "The Impact Factors and Spatial Spillover of Industrial Green Development: Based on Cities in the Northwest Segment of the Silk Road Economic Belt," Sustainability, MDPI, vol. 16(1), pages 1-18, December.
    19. Rui Ding & Siwei Shen & Yuqi Zhu & Linyu Du & Shihui Chen & Juan Liang & Kexing Wang & Wenqian Xiao & Yuxuan Hong, 2023. "Evolution, Forecasting, and Driving Mechanisms of the Digital Financial Network: Evidence from China," Sustainability, MDPI, vol. 15(22), pages 1-18, November.
    20. Wentao Lu & Guixiang Zhang, 2023. "Green development efficiency of urban agglomerations in a developing country: evidence from Beijing-Tianjin-Hebei in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6939-6962, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7870-:d:1144492. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.