中美两国数字经济效率测算、动因及演进

Calculation, motivation and evolution of digital economy efficiency between China and America

本文基于2013-2020年中美两国数字经济企业投入产出数据,综合运用BCC-DEA与超效率SBM模型、Dagum基尼系数、Epanechnikov核函数和绝对β收敛模型对中美两国数字经济产业效率进行分解测算,研究结果表明:(1)样本期内中国数字经济产业总效率高于美国,但其增长率低于美国同期水平。(2)中美两国数字经济产业总效率的改进主要来源于规模效率的提高,纯技术效率影响有限。(3)从核密度分析来看,中国数字经济产业效率双峰特征明显,有两极化趋势;同期美国数字经济产业效率核密度右移趋势显著,无双峰特征。(4)中美两国数字经济产业效率均存在绝对收敛现象。基于以上结论,本文提出促进我国数字经济产业发展的相关建议。

Based on the input-output data of digital economy enterprises in China and the United States from 2013 to 2020, this paper comprehensively uses bcc-dea and super efficiency SBM model to decompose and calculate the industrial efficiency of digital economy in China and the United States, and adopts dagum Gini coefficient, epanechnikov kernel function and absolute coefficient β The convergence model objectively reveals the dynamic evolution and convergence characteristics of industrial efficiency of digital economy in China and the United States. The results show that:(1) in the sample period, the total efficiency of China’s digital economy industry is higher than that of the United States, but its growth rate is lower than that of the United States in the same period.(2) The improvement of the total efficiency of digital economy industry in China and the United States mainly comes from the improvement of scale efficiency, and the influence of pure technical efficiency is limited.(3) From the perspective of nuclear density analysis, the industrial efficiency of China’s digital economy has obvious bimodal characteristics, with a trend of polarization;Over the same period, the core density of industrial efficiency of digital economy in the United States has a significant right shift trend, without double peaks.(4) There is an absolute convergence phenomenon in the efficiency of digital economy industry between China and the United States. Based on the above conclusions, this paper puts forward some suggestions to promote the development of China’s digital economy industry.