辽宁省装备制造业智能发展水平提升的路径研究
Research on the Path of Improving the Intelligent Development Level of Equipment Manufacturing Industry in Liaoning Province
摘要: 辽宁省作为装备制造业大省,其装备制造业的良性发展深刻影响着该省乃至全国整体的经济发展。受计划经济体制及产业布局模式等因素的影响,其装备制造业一直未能从根本上得到优化升级。近几年,随着“工业4.0”、《中国制造2025》战略等的提出,揭示出装备制造业未来的发展方向将是智能化生产。本文在分析辽宁省装备制造业的智能化发展水平的基础上,Malmquist指数法分析智能技术对装备制造业的贡献率,最后提出加快提升智能化水平的路径和相应对策。
Abstract:
Liaoning Province, as a major province in the equipment manufacturing industry, has a profound impact on the overall economic development of the province and the country as a whole. Affected by factors such as the planned economic system and industrial layout model, its equipment manufacturing industry has not been fundamentally optimized and upgraded. In recent years, with the development of the “Industry 4.0” and “Made in China 2025” strategies, it is revealed that the future development direction of the equipment manufacturing industry will be intelligent production. Based on the analysis of the intelligent development level of the equipment manufacturing industry in Liaoning Province, this paper analyzes the contribution rate of intelligent technology to the equipment manufacturing industry, and finally proposes a path and corresponding countermeasures to accelerate the improvement of the intelligence level.
参考文献
|
[1]
|
王卫, 綦良群. 中国装备制造业全要素生产率增长的波动与异质性[J]. 数量经济技术经济研究, 2017(10): 111-127.
|
|
[2]
|
吕铁, 韩娜. 装备制造业智能生产全球趋势与中国战略[J]. 人民论坛·学术前沿, 2015: 6-17.
|
|
[3]
|
于丽英, 施明康, 李婧. 基于DEA-Malmquist指数模型的长江经济带物流效率及因素分解[J]. 商业经济与管理, 2018(4): 16-25.
|