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利用信息熵对我国装备产业1987-2004年的时空分异状况进行了测度。计算结果表明,我国装备产业在不同地区、不同行业的演化速度和发展规模不尽相同,呈现出显著的时空分异特征。在时间序列上我国装备产业演化可以分为三个阶段,演化特征呈现“均衡→非均衡→均衡”格局。在空间布局上我国装备产业呈现较强的地理集中现象,且装备产业地理集中存在地方性行业垄断特征,不同行业集中趋势不同。研究认为:对于装备产业发展均衡性地区,宜形成独具特色的装备行业分工;对于目前装备产业产值份额较低的省市,由于外部环境、地理区位等因素制约,装备产业发展不具有总体竞争优势,应特别重视主导装备产业的培育。装备产业分工的地方化特征是导致装备产业布局与空间距离具有弱相关性的直接原因。装备产业在空间布局上应加强增长极的培育和发展,通过专业化分工,优化资源组合,从整体上提升我国装备产业的发展水平。
The information entropy was used to measure the spatial and temporal differentiation of China’s equipment industry from 1987 to 2004. The calculation results show that the equipment industry in China has different evolutionary speed and development scale in different regions and different industries, showing a remarkable spatial and temporal differentiation. In the time series, the evolution of China’s equipment industry can be divided into three stages, and the evolution characteristics show the pattern of “equilibrium → disequilibrium → equilibrium”. In the spatial layout, China’s equipment industry has a strong geographical concentration phenomenon, and there is a monopoly characteristic of the local industry concentrated in the equipment industry. Different industries have different concentration trends. The study shows that: For the balanced development of the equipment industry, it is necessary to form a unique division of labor in the equipment industry. For the provinces and cities with relatively low output value of the equipment industry, the development of the equipment industry does not have overall competition due to external environment, geographical location and other factors Advantages, should pay special attention to the cultivation of leading equipment industry. The localized characteristics of the equipment industry division of labor is the direct reason that the equipment industry layout has a weak correlation with the spatial distance. The equipment industry should strengthen the cultivation and development of the growth pole in the spatial distribution and optimize the development of the equipment industry in China through specialized division of labor and optimization of resource mix.