摘要
以全要素生产率增长动力作为经济发展方式的转变动力,本文采用1989-2013年4组省际面板数据经由可行广义最小二乘法实证估计了10个动力因素对全要素生产率增长率的贡献水平与作用途径。研究发现:技术创新水平、市场化水平、人力资本存量水平、异质性企业集聚水平和对外开放度的综合指数对中国全要素生产率增长率的回归估计系数分别为0.575 7,0.212 5,0.136 8,0.064 4和0.018,表明技术创新、市场化改革、人力资本积累、异质性企业集聚和对外开放是促进中国经济发展方式转变的直接动力因素。进一步的研究结果显示:技术创新和异质性企业集聚通过提高前沿技术进步率和生产效率变化率以及规模报酬收益率途径,市场化改革通过提高前沿技术进步率途径,人力资本积累与对外开放通过提高前沿技术进步率和规模报酬收益率途径,促进了中国全要素生产率增长。虽然产业结构变迁、城市化、基础设施建设、区域经济政策实施和金融发展对中国全要素生产率的增长表现为负向或拖累作用,但是,产业结构变迁与城市化能够提高前沿技术进步率,基础设施建设和区域经济政策能够提高规模报酬收益率,金融发展能够提高生产效率增长率和规模报酬收益率,这5项动力因素对促进中国全要素生产率增长的正向贡献有待提高。依据上述研究结论,本文提出尽快攻克制约生产率增长的核心技术,统筹考虑产业结构升级、城市化、基础设施建设和区域经济政策实施以及加快金融领域改革等政策建议,以期加快我国经济发展方式转变进程。
Taking the growth power of total factor productivity as the changing power of economic development mode,this paper empirically estimates the contributions and pathways of ten dynamic factors to the growth rate of total factor productivity based on the four sets of the China’s provincial panel data between the year 1989 to 2013 by the feasible generalized least squares method. The conclusions are as follows： the regression coefficients of technological innovation level,market oriented reform level,human capital stock level,heterogeneous firms agglomeration level,and the degree of opening-up to the outside world to the growth rate of total factor productivity in China are 0. 575 7,0. 212 5,0. 136 8,0. 064 4 and 0. 018 0 respectively. It indicates that technological innovation,market oriented reform,human capital accumulation,heterogeneous firms agglomeration and opening-up to the outside world are direct dynamic factors to promote the changing of China’s economic development mode. It also shows that the growth rate of total factor productivity promoted by increasing the frontier technological progress rate,the rate of change of production efficiency and the rate of return of scale from technological innovation and heterogeneous firms agglomeration. The market oriented reform promotes the growth of total factor productivity by increasing the frontier technological progress rate. The human capital accumulation and opening-up to the outside world improves the growth of total factor productivity through increasing the frontier technological progress rate and the rate of return of scale. Although the industrial structure,urbanization,infrastructure construction,regional economic policies and financial development generally performances negative effects or some drags,the industrial structure change and urbanization can improve the frontier technological progress rate. And the infrastructure construction and regional economic policies can improve the rate of return of scale while the financial development can improv
出处
《中国人口·资源与环境》
CSSCI
CSCD
北大核心
2016年第2期152-162,共11页
China Population,Resources and Environment
基金
国家社会科学基金项目"我国区域经济增长效率格局及其变化趋势研究"(编号:13BJLO85)
关键词
经济转型
全要素生产率增长率
动力因素
随机前沿分析
economic transformation
growth rate of total factor productivity
dynamic factor
stochastic frontier analysis
