Coupling coordination measurement of environmental governance: case of China

Zhao

2020

PLoS ONE

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This paper constructs the 6E evaluation index system, a comprehensive index including the dimensions of economy, effectiveness, efficiency, equity, earnings and equality, to measure the sustainable higher education development of the 31 provincial regions of China by utilizing the information entropy weight-TOPSIS method. This paper then makes a spatial and temporal analysis of the coupling coordination relationship among the dimensions of sustainable higher education development by using the coupling coordination model. In addition, this paper proposes specific and applicable countermeasures for sustainable higher education development. The results show that the comprehensive degrees of sustainable higher education development in most regions are not high, and the coastal regions and the Central-south China regions have higher grades; in addition, for most regions, the coupling coordination degrees mainly remain stable, with mild growth in the respective classifications, and the gap between the west and other regions is declining. The improved method is applicable to measure the sustainable development of higher education and to propose detailed and appropriate suggestions for further development.

Section: Literature Reviewmentioning

confidence: 99%

Measurement of sustainable higher education development: Evidence from China

Zhao

2020

PLoS ONE

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“…According to this mechanism, this study sets up the evaluation index to measure the coupling coordination interactions of the two subsystems. is paper firstly selects indicators for the two subsystems, respectively, based on previous studies [6,20,27,28,[44][45][46][47][48][49][50][51]. Secondly, the paper screens the data with several principles: (1) the data should represent the key components of the subsystems of the finance and the air environment; (2) indicators should be simple and easy to understand in order to reduce multicollinearity; and (3) the data can be continuously obtained [20,49].…”

Section: Coupling Coordination Mechanism and Evaluationmentioning

confidence: 99%

“…For the air environment subsystem, three aspects are formed [20,28,47,48,50,51]. e aspect of the air environment pressure mainly refers to the air pollution, including the emissions of the air pollutants, such as smoke and dust, nitrogen oxide, and Sulphur dioxide.…”

Section: Coupling Coordination Mechanism and Evaluationmentioning

confidence: 99%

Measurement and Prediction: Coupling Coordination of Finance and Air Environment

Discrete Dynamics in Nature and Society

Tan

2020

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This study finds that the comprehensive development degree (CDD) of the finance subsystem is less fluctuated than that of the air environment subsystem, and both subsystems share similarities in spatial distributions. The coupling coordination degrees (CCD) keep fluctuating with varied development directions and extents in different regions; besides, the eastern regions are higher than the western ones for the coupling coordination degrees. In the next years, the coordination degrees of the regions will have different tendencies: despite of the former fluctuation trends, regions in the coordination range will have upward trends, while those in the transition range will be likely to decline. The results are useful in proposing corresponding measures to promote the coordination development between finance and air environment.

“…For the subjective category, including analytic hierarchy process method, expert scoring method, the best-worst method (BWM), full consistency method (FUCOM), level based weight assessment method (LBWA), etc., the methods obtain weights of indices based on personal preferences, therefore, the weights are more likely to reflect the real or preferred ideal situations; besides, the subjective methods can be applied in various fields and thus are welcomed in certain studies; however, the limitations of the subjective methods restrict the further use and make the results less trustful; for instance, BWM is difficult to measure the differences between grades among indices; FUCOM and LBWA are subject to score markers whose personal bias may distort the weight of indices [ 48 – 51 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Higher education and science popularization: Can they achieve coordinated growth?

Yan

2021

PLoS ONE

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This study aims to explore whether higher education and science popularization can achieve coordinated growth with temporal and spatial characteristics. Selecting the provincial regions of the Yangtze River Economic Belt in China as cases with data from the national statistics administrations (such as China Statistical Yearbook), this study uses entropy weight analysis, TOPSIS, GM(1,1) gray prediction methods and coupling coordination degree model to evaluate the coordinated growth status. The key findings are: (1) the annual budget per student, and the number of science and technology museums affect both systems more obviously; (2) the overall performances of science popularization fluctuate more obviously than those of higher education; (3) the coordinated growth performances of the two systems in most regions remain mild fluctuations and keep relatively stable coordinated status, however, temporal and spatial variation tendencies do exist among regions. Therefore, corresponding countermeasures should be implemented: generally, national authority needs to involve in coordination activities among regions; the regions with satisfactory coordinated growth performances need more creative approaches to maintain the coordinated growth interactions; the regions at the transitioning status need to prevent the grade decline and upgrade the performances; the regions with lagging performances need to stop the decline and reduce the gaps with others. The novelties include analyzing the coordinated growth interaction mechanism between the two, selecting indices to assess the abstract interaction mechanism precisely, proposing suggestions based on temporal and spatial comparisons of the coordinated growth performances, etc.