绿色GDP绩效评估算法的探索、比较及其优化路径

摘要： 绿色GDP因其影响因素众多,且难以找到与之相应的测算方法,不仅使绿色GDP的测算结果难以令人信服,而且使绿色GDP的绩效评估难以成为现实。绿色GDP绩效评估算法正在成为生态文明进程中的一个全球性难题。然而,在大数据时代,将数据包络分析方法引入绿色GDP的绩效评估,不仅有效地解决了绿色GDP绩效评估中所遇到的多输入输出技术瓶颈,而且充分考虑了评估对象的最优投入产出方案,更能客观反映评价对象自身的信息和特点,从而大大增强绿色GDP绩效评估结果的可信度、公平性,更加有利于提高经济与生态协调发展的决策效率和科学性。
Because of the numerous factors affecting green GDP, it is difficult to find corresponding measurement methods,which not only makes the measurement results of green GDP unconvincing, but also makes the performance evaluation of green GDP difficult to become a reality. Green GDP performance evaluation algorithm is becoming a global problem in the process of ecological civilization. However, in the era of big data, the introduction of data envelopment analysis into the performance evaluation of green GDP not only effectively solves the technical bottleneck of multi-input and output in the performance evaluation of green GDP, but also fully considers the optimal input-output scheme of the evaluated object, which can more objectively reflect the information and characteristics of the evaluated object, thus greatly enhancing the credibility and fairness of green GDP performance evaluation results, and more conducive to improving the decision-making efficiency and scientific nature of coordinated economic and ecological development.