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Research on the Effects of Structural Factors of Population, Employment and Industry on Regional Economic Development: An Empirical Analysis Based on Cross-Sectional Data of 31 Provincial Regions in China

机译:人口,就业和产业结构因素对区域经济发展的影响研究:基于中国31个省区的跨部门数据的实证分析

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摘要

Based on the 2009 year-end cross-sectional statistical data of 31 provincial regions in China, the positive research of econometrics model shows clearly that, the major macroscopic structural factors to significantly influence regional economic development level (Per Capita GDP) in China are the urban-rural population structure (Urban Population Proportion), the employment structure (Employed Persons Proportion of Nonagricultural Industry) and the deviated degree of industrial structure to employment structure (Industrial Structure Deviation), while the influences of other factors or variables such as Value-added Proportion of Nonagricultural Industry, Urban/Rural Consumption Ratio, Final Consumption Rate, Capital Formation Rate and Natural Growth Rate of Population are not significant. Therefore, in order to further increase regional economic development level in China, it is necessary to quickly remove the institutional obstacles of dual urban-rural segmentation in various regions and establish the urban-rural integrated labor market, to accelerate the course of industrialization and urbanization, raise the urbanization rate based on strengthening service economy and perfect the urban-rural population structure, to increase the potency dimensions of urban-rural human resource development, promote the nonagricultural employment level, optimize the employment structure, and improve the rationalization, upgrading and service degree of industrial structure.
机译:基于中国31个省的2009年末横断面统计数据,计量经济学模型的正研究清楚地表明,对中国区域经济发展水平(人均GDP)产生重大影响的主要宏观结构性因素是:城乡人口结构(城市人口比例),就业结构(非农业产业的就业人员比例)和产业结构相对于就业结构的偏离程度(工业结构偏差),而其他因素或变量(如价值-非农产业比重,城乡消费比,最终消费率,资本形成率和人口自然增长率均不显着。因此,为进一步提高我国区域经济发展水平,有必要迅速消除各个地区城乡二元分割的制度障碍,建立城乡一体化劳动力市场,以加速工业化和城市化进程。在加强服务经济的基础上,提高城镇化率,完善城乡人口结构,增加城乡人力资源开发的潜力规模,提升非农就业水平,优化就业结构,改善合理化,升级和发展。产业结构服务水平。

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