Different from the research of previous single type of industrial clusters, this project is focused on resource-based industrial clusters and manufacturing industrial clusters aspect, based on theory of clusters and method of quantitative analysis, to discuss the formation mechanism, characterization and basic law of resource-based industrial clusters and manufacturing industrial clusters, research the dynamic mechanism, mechanism of action, transmission path and bidirectional effect of resource-based industrial clusters and manufacturing industrial clusters' impacts on the mode of regional economic growth, take methods of improved DEA and Malmquist index to analyze basic characteristics and differences of total factor productivity of resource-based industrial clusters in underdeveloped resource-abundant regions and manufacturing industrial clusters in developed regions, basic law and similarities and differences in the path between resource-based industrial clusters and manufacturing industrial clusters' impacts on the mode of regional economic growth for building the research framework of "development and utilization of advantaged resource - industrial cluster - transformation and upgrading of economic growth- regional competitive advantage" in underdeveloped resource-abundant regions, propose the path pattern of transformation and upgrading of the mode of economic growth in underdeveloped resource-abundant regions, use artificial neural network warning method to build resource-based industrial clusters sustainable development early warning model, map out the development trend of resource-based industrial clusters in order to further enrich the field studies and provide guidance for resource-based industrial clusters sustainable development, accelerate the transformation and upgrading of the mode of economic growth, narrowing regional gap and promoting regional coordinated development .
本项目与以往单一类型产业集群研究不同,将资源型和制造业两类型产业集群纳入研究视野,运用集群理论和数量分析方法,探讨两种类型产业集群的形成机理、表征、规律,及其对区域经济增长的动力机制、作用机理、传导路径和双向效应的异同。通过改进的DEA方法与Malmquist指数法,分析资源富集而经济欠发达地区的资源型产业集群与经济发达地区制造业产业集群全要素生产率变化的基本特征与差异、二者对区域经济增长影响路径规律及其异同,以期构建资源富集欠发达地区"优势资源开发利用-产业集群-经济增长转型升级-区域竞争优势"的研究框架,提出资源富集欠发达地区可持续发展的路径模式。借助人工神经网络预警方法,构建资源型产业集群可持续发展预警模型,刻画出中国未来5-10年资源型产业集群可持续发展趋势。进一步丰富该领域研究,为资源型产业集群可持续发展、推进区域经济增长方式转型升级、缩小区域差距,促进区域协调发展提供指导意见。
本项目与以往单一类型产业集群研究不同,将资源型和制造业两类型产业集群纳入研究视野,运用集群理论和数量分析方法,探讨两种类型产业集群的集群特点、集聚程度、空间布局、影响因素、形成机理,及其对区域经济增长的动力机制、作用机理、传导路径和双向效应的异同。通过改进的DEA方法与Malmquist指数法,分析资源富集而经济欠发达地区的资源型产业集群与经济发达地区制造业产业集群全要素生产率变化的基本特征与差异,运用两阶段系统广义矩回归模型、协整分析方法和格兰杰因果检验法探讨二者对区域经济增长影响路径规律及其异同,构建资源富集欠发达地区“优势资源开发利用-产业集群-经济增长转型升级-区域竞争优势”的研究框架,提出资源富集欠发达地区可持续发展的路径模式,为资源型产业集群与制造业产业集群可持续发展、推进区域经济增长方式转型升级、缩小区域差距,促进区域协调发展提供指导意见。
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数据更新时间:2023-05-31
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