基于混合多维云模型的工业绿色发展水平测度

如何测度各省工业绿色发展水平高低, 判断各省工业绿色创新能力差异, 本文从绿色投入要素和绿色产出效益视角构建集结综合属性值的工业绿色发展多指标评价体系; 并在云模型基础上提出了基于混合多维云模型的区间多属性测度方法. 该方法创新性地利用区间权重和云权重的相互转换, 在解决多指标权重不一的问题后, 再运用父云贴近度计算工业绿色发展水平, 云投影度测定工业绿色创新能力; 最后采用省际间的工业面板数据进行验证. 结果表明, 相较于一般的多指标综合评价法, 该测定方法的实证结果与实际情况更相符合, 说明了该方法既能对工业绿色发展水平的整体情况进行评价分析, 也能精确计算出各指标贡献度, 从而判断其是否具有工业绿色创新能力. 因此, 本研究可为各地区调整工业绿色发展水平测度指标、制定工业绿色发展规划提供实质性建议和理论决策依据.

Measurement of Industrial Green Development Level Based on Hybrid Multi-dimensional Cloud Model

This study is conducted to measure the level of industrial green development and judge the differences in industrial green innovation ability among provinces. The study constructs a multi-index evaluation system integrating comprehensive attribute values for industrial green development from the perspective of green input factors and green output benefits and proposes an interval multi-attribute measurement method based on the hybrid multi-dimensional cloud model. This method creatively uses the mutual transformation of the interval weight and cloud weight to solve the problem of different weights of multiple indexes. After that, the parent cloud closeness is employed to calculate the industrial green development level, and the cloud projection is applied to measure industrial green innovation ability. Finally, industrial panel data between provinces are used for verification. The results indicate that compared with the results of the general multi-index comprehensive evaluation method, the empirical results of this method are more consistent with the actual situation. This means that the method can not only evaluate and analyze the overall situation of the industrial green development level but also accurately calculate the contribution of each index to judge whether a province or region has the industrial green innovation ability. Therefore, this study can provide substantive suggestions and theoretical decision-making basis for regions to adjust the measurement indexes for the industrial green development level and formulate industrial green development plans.