摘要
物流不仅有物质循环利用、能源转化,而且有价值的转移和价值的实现,物流涉及了经济与生态环境两大系统。在资源约束、环境问题日趋严重的情况下,物流企业的绿色创新能力评价已经成为学术界的焦点之一。论文在分析绿色创新能力理念的基础上,引入支持向量机分析评价模型,构建物流企业绿色创新能力评价体系,并以湖南物流企业为样本,进行了实证评价分析。实证结果表明,相比与BP神经网络等其他评价方法,支持向量机评价结果更准确、直观,更适合物流企业绿色创新能力考评。
Logistics is an important part of the social reproduction, not only the physical logistics process recycling, energy conversion and transfer of value and value realization, the logistics involved in the two systems of economic and ecological environment. Resource constraints, environmental problems have become more severe cases, the evaluation of the green innovation capability of logistics business has become the focus of the academic community. Based .on the concept of green innovation capability and the model of support vector machine, this paper builds the logistics enterprises evaluation index system of green innovation capability, and makes an empirical analysis on Hunan logistics enterprise. The results show that the evaluation results of SVM are more accurate, intuitive, more suitable for evaluation of green innovation capability of logistics enterprises, compared with the evaluation method of BP neural network.
出处
《系统工程》
CSSCI
CSCD
北大核心
2013年第2期100-105,共6页
Systems Engineering
关键词
支持向量机
物流企业
绿色创新能力
评价模型
SVM
Logistics Enterprise
Green Innovation Capability
Evaluation Model
