装备制造业高端化转型的多序参量识别与协同策略

Research on multiple order parameter identification and synergetic strategy of high-end transformation of equipment manufacturing industry in China

高端化转型作为我国装备制造业现阶段发展的主要任务之一,对其转型过程机理分析和主要因素的识别,是我国装备制造业调控发展的关键。基于协同演进视角,通过多序参量识别模型,在既有装备制造业高端化转型进程指标体系的基础上,梳理我国内地31个省份装备制造业的相关数据,并识别我国装备制造业高端化进程中的5个关键因素。根据识别出的调控序参量和主序参量给出各省份装备制造业高端化转型的控制策略,旨为丰富装备制造业高端化转型过程机理,为装备制造业高端化转型提供发展思路。

As high-end transformation being one of the main tasks of the current development of equipment manufacturing industry in China,its transformation process mechanism analysis and identification of main factors are the key of the regulation and development of equipment manufacturing industry.Based on the perspective of collaborative evolution,through the multiple order parameter identification model,the relevant data of the equipment manufacturing industry in 31 provincial regions in the mainland of China are sorted out on the basis of existing indicator system of the high-end transformation process of equipment manufacturing industry,and five key factors are identified in the high-end transformation process of equipment manufacturing industry in China.According to the identified control order parameters and main order parameters,the control strategies for high-end transformation of equipment manufacturing industry in each province are given,aiming to enrich the process mechanism of high-end transformation of equipment manufacturing industry and provide development ideas for the high-end transformation of equipment manufacturing industry.