Analysis of Regional Innovation Growth and Catch-up Capability in China—Based on the Meta-frontier Super-efficiency SBM-Malmquist Model
In today's society,we are entering a new era where innovation has become the pri-mary driving force behind economic development.Analyzing the levels of innovation efficiency and the development potential of different regions is crucial for economic growth and effective re-source allocation.This paper utilizes data from 30 provinces,cities,and districts in China,cover-ing the years from 2013 to 2022.The study begins by dividing the innovation process into two stages:innovation research and achievement transformation.The regions are categorized into high-level and low-level groups based on four environmental variables:financial support,the level of industrial structure optimization,economic development level,and marketization level.The super-efficiency SBM-Malmquist model is used to measure innovation efficiency and exam-ine the trends of the two innovation process groups.This analysis aims to evaluate the capacity for innovation growth.At the same time,the Meta-frontier model is used to assess the innovation catch-up capability of different regions and to analyze how different environmental factors im-pact innovation efficiency.The results indicate the following:①All four environmental factors can promote the growth of innovation efficiency and catch-up capability,but the impact of indus-trial structure optimization is not as significant as that of the other three environmental factors.②In the innovation research stage,both the high and low groups exhibit growth effects driven pri-marily by MTC under different environmental factors.In the achievement transformation stage,neither group shows growth effects,mainly due to low MEC,with the high group showing more pronounced challenges in this regard.③The overall catch-up capability of the high group is bet-ter than that of the low group and the high group shows catch-up effects in both stages.However,this is mainly driven by FCU,while the performance of PTCU is not significantly different from that of the low group;The low group does not show a catch-up effect in either the innovation re-search stage or the achievement transformation stage,but it exhibits a stronger sustained catch-up capability to the high group.④Compared with the innovation research stage,in the achieve-ment transformation stage,the growth and catch-up capabilities of most regions have signifi-cantly declined in the achievement transformation stage compared to the innovation research stage.More than half of the regions show neither growth nor catch-up effects,mainly due to the squeezing of"remaining achievements"that lead to a decrease in technological efficiency and pure technological efficiency catch-up.Finally,based on the above conclusions,targeted devel-opment and improvement suggestions are proposed from three aspects:first,how to improve pure technical efficiency and technological progress levels for regions with different levels of develop-ment;second,how to enhance the growth or catch-up capabilities of regions with differing poten-tial for advancement;third,how to address the issue of a significant decline in efficiency in the achievement transformation stage following high efficiency in the innovation research stage caused by"residual achievements".
catch-up capabilitygrowth capabilityinnovation efficiencymeta-frontierMalmquist index
国家科技期刊平台
NSTL
万方数据
