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新旧动能转换背景下的制造业产业升级评价研究——基于山东省制造业的研究 被引量:4

Evaluation of Manufacturing Industry Upgrading under the Background of New and Old Energy Transformation:Taking Shandong Province as an Example
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摘要 现阶段我国经济发展进入新常态。经济发展模式开始由要素驱动、投资驱动向创新驱动转变,用增长促发展,用发展促增长。新旧动能转换与产业升级是经济发展进入新常态的必然选择,新旧动能转换是产业转型升级的核心动力,产业升级是新旧动能转换的外在表现。基于2006—2017年山东省17个地市的面板数据,从需求、供给和环境三方面研究发现:山东省及其各区域正处于改造旧动能、培育新动能的关键时期,消费需求、人力资本和技术创新对产业升级有积极的推动作用。进一步对山东省的东、中、西部三个区域研究发现,产业升级具有区域差异性。 China’s economic development has entered a new normal recently.The model of economic development began to shift from factors driven and investments driven to innovation driven,with promote development to growth.The transformation of new and old kinetic energy and industrial upgrading is the inevitable choice for economic development to enter the new normal.The transformation of new and old kinetic energy is the core power of industrial transformation and upgrading,and industrial upgrading is the external manifestation of the transformation of new and old kinetic energy.Based on the panel data of 17 cities in Shandong Province from 2006 to 2017,this paper explores through three aspects:demand,supply and environment.It is found that Shandong Province and its regions are in the critical period of transforming old kinetic energy and cultivating new kinetic energy.Consumption demand,human capital and technological innovation play a positive role in promoting the transformation of new and old kinetic energy.Further study on the East,the middle and the west of Shandong Province shows that there are regional differences between the transformation of traditional kinetic energy and the cultivation of new kinetic energy.
作者 庞美燕 桑金琰 张峰 Pang Meiyan;Sang Jinyan;Zhang Feng(School of Management,Shandong University of Technology,Zibo 255000,Shandong,China)
出处 《技术经济》 CSSCI 北大核心 2020年第1期106-111,共6页 Journal of Technology Economics
基金 国家自然科学基金“追赶战略下产品集成企业的产业技术链治理研究”(71202011) 山东省社会科学基金“经济新常态下山东省绿色低碳转型发展的路径及政策研究”(16CJJJ17)。
关键词 传统动能 新动能 产业升级 面板数据 traditional energy new energy industrial upgrading panel data
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