被引排行
Research on Digital Level and Operation Performance Based on Text Mining
REN Bi-yun;GUO Meng;In the virtuous circle of domestic economy, digital economy has become the core engine of China's economic growth the development of digital industry is one of the core tasks of the upgrading of China's industrial structure.It is of positive significance for further promoting the development of digital industry to study the influence of enterprise digital development level on enterprise operation performance.Studying the dynamic relationship between enterprise digital development level and enterprise operation performance from a micro perspective, so as to seek the micro experience basis for the development and structural upgrading of China's digital industry.Based on the analysis of the transmission mechanism of digital level affecting enterprise operation performance, 2015-2019 listed enterprise data is selected, combined with text mining method and intermediary effect model to analyze the impact of digital level on enterprise operation performance.The results show that: the improvement of enterprise digital level significantly improves the enterprise operation performance; In the process of digital level affecting enterprise operation performance, the level of information symmetry shows a complete mediating effect, the level of business model innovation plays a partial mediating effect, and the level of management cost reduction does not show a mediating effect, which means the promotion effect of digital level on operation performance is mainly realized through the promotion of internal information symmetry level and the promotion of business model innovation.Therefore, in order to improve the promotion of digital level on enterprise operation performance Chinese enterprises should make further efforts to improve the level of digitization, build an efficient dynamic digital information sharing platform, innovate the business model based on digital industry, and pay attention to the cost control in the process of digitization.
An Introduction to Quantile Regression and It's Application
LI Yu-an~(1,2) (1.Chinese People's Armed Police Forces Academy,Langfang 065000,China;2.School of Statistics,Renmin University of China,Beijing 100872,China)After an brief introduction to quantile regression and its algorithms, it is compared with the linear regression based on OLS to demonstrate its merits.
Research on the Influence Mechanism of Digital Economic Development on Industrial Structure Upgrading
HAN Jian;LI Jiang-yu;The deep integration of digital economy and industrial development is an important driving force for the high-quality development of China's economy in the new era.Based on the panel data of 288 cities in China from 2015 to 2018,three regression models of bidirectional fixed effect, mediating effect and moderating effect are constructed to empirically test and discuss the influence and internal mechanism of digital economy development on the level of urban industrial structure.It is found that the development of digital economy is positively correlated with the upgrading level of industrial structure, and can inhibit the deviation of industrial structure from equilibrium and improve the rationalization level of industrial structure.This conclusion is still valid after a series of robustness tests.At the same time, the digital economy can not only promote the development of industrial structure, but also have a positive impact on the transformation and upgrading of industrial structure through two indirect paths, namely, increasing household consumption and encouraging urban R&D innovation.In addition, the impact of digital economy on the level of industrial structure is also regulated by local government intervention.Under the reasonable administration of local governments, the positive effect of digital economy on industrial transformation and upgrading is more obvious.Finally, the role of digital economic development in promoting the level of industrial structure has regional heterogeneity and urban scale heterogeneity, and the effect of promoting the transformation and upgrading of industrial structure in the central and western regions and megacities is more obvious.The conclusions are helpful to narrow the regional differences of digital economic development and industrial structure level, and provide scientific decision-making basis for the country to further accelerate digital development, standardize local government behavior and formulate accurate industrial policy.
Research on Mechanism Identification and Heterogeneity of Digital Economy and Regional Economic Growth
ZHANG Shao-hua;CHEN Zhi;The digital economy is developing rapidly as a new economic form of a new round of technological innovation and industrial transformation.A comprehensive assessment of the impact of the digital economy on regional economic growth has important theoretical and practical significance.Adopting principal component analysis to construct a provincial digital economy development indicator system from the four dimensions of information foundation, internet integration, digital talents and digital technology output, and empirically studies the effect path and heterogeneity of the digital economy on regional economic growth by analyzing provincial panel data of 2010—2019 years in China.The conclusions are as follows: the digital economy has a significant role in promoting regional economic growth, and after considering endogenous, the conclusion is still robust.Furthermore, quantile regression shows that the digital economy has a large and significant impact on regional economic growth at low quantiles, and the impact of the digital economy on regional economic growth at high quantiles is laughable and weakly significant.Taking into account the nonlinear effect of the digital economy on regional economic growth, the regression results of the panel threshold model show that, the digital economy has a single threshold effect on regional economic growth and its positive effect on economic growth will be significant only when the digital economy exceeds a single threshold.Considering the objectively existing location factors and regional characteristic differences, it is found that the digital economy has a more obvious positive effect on the economic growth of the central and western regions, areas with low urbanization rates and high material capital investment.Finally, using the intermediary effect model to explore the role of digital economy affecting regional economic growth, the mechanism identification test found that the digital economy can promote economic growth through independent intermediary channels that promote the upgrading of industrial structure and total factor productivity and the chain-type intermediary channels of “industrial structure upgrade-total factor productivity improvement”.
Impact of Digital Economy on Industrial Structure Upgrading from the Perspective of Spatial Effect
MA Xiao-jun;LI Yi-chan;FU Zhi;LIU Shu-min;As a new economic form, the digital economy is a key force, which narrows regional development gaps, supports economic stably growth and accelerates the upgrading of industrial structure.From the four dimensions of digital infrastructure, digital industry development, digital economy application, and digital talent environment, an indicator system for the development level of the provincial digital economy is constructed, and the entropy method is used to measure the development level of the digital economy.On this basis, a Spatial Durbin Model is constructed using the nested weight matrix of geographic and economic distances, which analyzes the impact of digital economy on industrial structure upgrading in 30 provinces in China during 2011—2020 from the perspective of spatial effect.The results show that:(1) The upgrading industrial structure and digital economy show positive spatial autocorrelation.They form basically the same spatial agglomeration areas in terms of spatial distribution.Concretely the “high-high” agglomeration areas for digital economy and industrial structure upgrading are basically located in the Beijing-Tianjin region and the Yangtze River Delta region, and the “low-low” agglomeration areas are located in the central and western regions.(2) In general, the development of the province's digital economy has a significant positive impact on the province's industrial structure.However, due to the unbalanced development of the digital economy, the weak regional correlation of the digital industry, and the unsmooth flow of data elements, it has no remarkable influence in neighboring provinces.(3) From the regional perspective, in the digital economy development level with “high-high” characteristics of the agglomeration areas, the digital economy obviously promotes the upgrading of the industrial structure of this province and neighboring provinces.In the “low-low” agglomeration areas, the development of the digital economy has only significantly promoted the upgrading of the industrial structure in the same province.Therefore, policy suggestions are proposed in terms of optimizing the spatial development pattern, activating data elements, and formulating development strategies in different regions.On the one hand, this research enriches the dimensions of the digital economy indicator system, and provides some reference for accurately measuring the development level of the digital economy.On the other hand, this paper deeply analyzes the spatial spillover effect of digital economy on industrial structure upgrading, achieving a reasonable supplement to relevant research conclusions.
Ecological Cognition,Government Subsidy and Farmers' Willingness to Participate in the Renovation of Rural Human Settlement Environment
HUANG Hua;YAO Shun-bo;Improving the rural human settlement environment is one of the important tasks to implement the rural revitalization strategy.And the ecological cognition of farmers and the financial support of government are important basic guarantees for the rural human settlement environment renovation(RHSER).The government-led renovation usually ignores the importance of farmers' participation, while their willingress of participate is affected by the level of ecological cognition as the direct beneficiaries of rural habitat improvement.Using 522 survey data of farmers in the four counties of Huangling county, Huanglong county, Zhenba county and Ziyang county in Shaanxi Province, domestic sewage treatment, rural toilet reform and domestic waste treatment are the main action tasks of RHSER.The binary Logit model is used to empirically test the impact ecological cognition and government subsidy on farmer's willingness to participate in the RHSER.It is found that, the higher the ecological cognition of farmers, the stronger the willingness to participate in toilet renovation and domestic waste management.Government subsidy significantly increase farmers' willingness to participate in domestic waste management, but not in toilet renovation.Government subsidy significantly moderated the relationship between ecological cognition and toilet renovation and domestic waste management, but the moderating effect on different remediation actions varied.The marginal contribution is that it clearly expresses the economic connection between government subsidy, ecological cognition and farmers' willingness to participate in rural habitat improvement, and to deeply understand the laws that influence farmers' willingness to participate in different action types of RHSER under the joint effect of internal cognition and external environment.At present, the deviation of farmers' willness and behavior makes the work of RHSER still has a long way to go.The positive interaction between government support and farmers' participation can enhance the momentum of promotion in all aspects.How to turn the farmers' willingness to participate in the RHSER into actual behavior is the key to government action.On one hand, it is necessary to continue increasing the government support, improving the supervision and punishment mechanism to reduce farmers' “free-riding” behavior.On the other hand, it is also necessary to strengthen the guidance and supervision of rural social norms and village rules, and establish outstanding typical figures, which can increase farmers' enthusiasm to participate through demonstration and guidance.In addition, according to the differences in the attributes of different action tasks, the government should take overall coordination, and accordingly introduce more targeted and differentiatede methods.
Comparison of Principal Component Analysis with Factor Analysis in Comprehensive Multi-indicators Scoring
WANG Wen-bo,CHEN Xiu-zhi(School of Economics and Finance,Xi'an Jiaotong University,Xi'an 710061,China)The article compares the method of principal component analysis and factor analysis on with(respect) to aims,principle and realization in statistical software SPSS.Especially,it explains four points in(comprehensive) multi-indicators scoring in order to do practical analysis.
Research on Proactive Technological Innovation Efficiency Evaluation of Industrial Enterprises: Analysis Based on Improved Three Stage SBM-DEA Model
ZHANG Liao;HUANG Lei-qiong;This paper built a three-stage SBM-DEA model which based on non radial and non angle including unexpected output is used to measure the real green technology innovation efficiency of industrial enterprises after eliminating the influence of external environmental factors.The spatial and temporal characteristics of green technology innovation efficiency are analyzed by using Dagum Gini coefficient and its subgroup decomposition method,Kernel density estimation method.The research shows that the low efficiency of green technology innovation is due to the passive and involuntary development of green technology innovation activities under the influence of external environmental pressure.After eliminating the impact of environmental regulation and external environmental factors that need managers' cognitive judgment on efficiency,the absolute level of real green technology innovation efficiency of industrial enterprises is relatively low,and the difference between provinces is large,and the overall spatial distribution pattern of "high in the East and low in the west" is presented.However,the convergence characteristics of the spatial differences of green technology innovation efficiency of industrial enterprises in different regions are also very obvious.The overall performance is that there is a trend of expansion at first and then a slight reduction.Although the spatial polarization characteristics of innovation efficiency are obvious,there is a trend of slowing down.