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Construction and Measurement of Evaluation Indicator System for the Development Level of New Quality Productivity in the Yellow River Basin

Zishun Yang, Pengyao Zhao

Abstract


The article is based on provincial panel data from the Yellow River Basin from 2013 to 2022. It employs the Entropy WeightTOPSIS model to empirically measure the development level of new-quality productivity in the Yellow River Basin and uses cluster analysis
to analyze regional and inter-provincial differences in the development level of new-quality productivity. The study found that, from a global
perspective, the trend of new-quality productivity development is long-term positive; from a regional perspective, there is significant regional
imbalance in the development level of new-quality productivity, with a spatial distribution pattern showing a decreasing trend from downstream to midstream to upstream; from a provincial perspective, there are significant differences in the development levels of new-quality productivity among provinces, and the development levels of new-quality productivity in the Yellow River Basin can be clustered into three tiers.

Keywords


New quality productivity; Statistical measures; Entropy weights-TOPSIS model; Cluster analysis approach

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References


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[J]. Journal of Chongqing University (Social Sciences Edition), 2023, 29(06): 137-148.

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DOI: http://dx.doi.org/10.70711/frim.v3i9.7335

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