摘要
基于2007~2019年的制造业面板数据,分析资本、劳动力、技术、数据等四个因素对制造业生产的影响,建立拓展的空间生产函数模型,从时间方面分析各生产要素投入的增长速度及其对制造业生产作用力的变化,进一步从空间方面分析不同生产要素的地域分布特点和相邻地区间存在的空间相关性。结果显示:资本要素始终保持最强的驱动作用,且劳动力要素对制造业生产的强大作用力逐渐被技术要素取代,技术要素的驱动作用逐渐增强的同时,还呈现出由空间抑制向空间溢出转变的特点;数据要素的发展尚处于初期阶段,其投入过程还面临许多亟需解决的问题,中国的制造业增长动能还存在较大的可优化空间。
Based on China’s manufacturing industry panel data from 2007 to 2019,this paper analyzes the impact of capital,labor force,technology,and data on manufacturing production,and makes an expanded spatial production function model to analyze the growth rate of inputs of various factors of production and changes in their impact on manufacturing production from time to time,and further to analyze the geographical distribution characteristics of different factors of production and the spatial correlation between adjacent regions.The results show that the driving effect of capital factors is gradually weakened,and the powerful force of labor force factors on manufacturing production is gradually replaced by technical factors.The development of data elements is still in its early stage,and its input process is still facing many problems that need to be solved urgently.
作者
刘明
徐坤
LIU Ming;XU Kun(School of Statistics,Lanzhou University of Finance and Economics,Lanzhou Gansu Province730020,China;Gansu Economics&Development Quantitative Analysis Institute,Lanzhou University of Finance and Economics,Lanzhou Gansu Province730020,China)
出处
《中国发展》
2021年第3期7-17,共11页
China Development
基金
甘肃省科技计划软科学项目“甘肃工业经济高质量发展动力体系研究”(20CX9ZA051)资助
关键词
生产要素
增长动能
空间作用力
生产函数
Factors of Production
Growth Dynamic Evolution
Spatial Forces
the Production Function
