Data factors are becoming the core driving force in the intelligent transformation of libraries.Based on a systematic review of the progress in data governance practices in libraries both domestically and internationa...Data factors are becoming the core driving force in the intelligent transformation of libraries.Based on a systematic review of the progress in data governance practices in libraries both domestically and internationally,this study delves into the mechanism by which data governance promotes data factorization and proposes implementation paths for data governance oriented toward data factorization.The aim is to facilitate the intelligent transformation and high-quality development of libraries.展开更多
The public has shown great interest in the data factor and data transactions,but the current attention is overly focused on personal behavioral data and transactions happening at Data Exchanges.To deliver a complete p...The public has shown great interest in the data factor and data transactions,but the current attention is overly focused on personal behavioral data and transactions happening at Data Exchanges.To deliver a complete picture of data flaw and transaction,this paper presents a systematic overview of the flow and transaction of personal,corporate and public data on the basis of data factor classification from various perspectives.By utilizing various sources of information,this paper estimates the volume of data generation&storage and the volume&trend of data market transactions for major economies in the world with the following findings:(i)Data classification is diverse due to a broad variety of applying scenarios,and data transaction and profit distribution are complex due to heterogenous entities,ownerships,information density and other attributes of different data types.(ii)Global data transaction has presented with the characteristics of productization,servitization and platform-based mode.(iii)For major economies,there is a commonly observed disequilibrium between data generation scale and storage scale,which is particularly striking for China.(i^v)The global data market is in a nascent stage of rapid development with a transaction volume of about 100 billion US dollars,and China s data market is even more underdeveloped and only accounts for some 10%of the world total.All sectors of the society should be flly aware of the diversity and complexity of data factor classification and data transactions,as well as the arduous and long-term nature of developing and improving relevant institutional systems.Adapting to such features,efforts should be made to improve data classification,enhance computing infrastructure development,foster professional data transaction and development institutions,and perfect the data governance system.展开更多
Service-oriented manufacturing is an important trend in the development of the manufacturing industry.Accelerating the development of service-oriented manufacturing is of great significance for building a modern indus...Service-oriented manufacturing is an important trend in the development of the manufacturing industry.Accelerating the development of service-oriented manufacturing is of great significance for building a modern industrial system,making China a strong manufacturing country,and improving its global industrial competitiveness.With the development of digital technology,service-oriented manufacturing has become a data-intensive production and service process.Data are widely applied in typical scenarios such as research and development,production,delivery to users,and operation and maintenance.Through data insights,software definition,command and control,real-time data streaming and aggregation,it helps to optimize business decisions,achieve economies of scale,enhance flexibility,improve service responsiveness,and unleash value-creation capabilities.This can comprehensively improve the operational performance of service-oriented manufacturing.To further accelerate the development of service-oriented manufacturing,it is necessary to focus on shaping the advantages of manufacturing data factors,increasing the supply of manufacturing data,enhancing the innovation of data technologies and data security,accelerating the research and application of data technology standards,and promoting cross-border data flows.展开更多
Association rule mining methods, as a set of important data mining tools, could be used for mining spatial association rules of spatial data. However, applications of these methods are limited for mining results conta...Association rule mining methods, as a set of important data mining tools, could be used for mining spatial association rules of spatial data. However, applications of these methods are limited for mining results containing large number of redundant rules. In this paper, a new method named Geo-Filtered Association Rules Mining(GFARM) is proposed to effectively eliminate the redundant rules. An application of GFARM is performed as a case study in which association rules are discovered between building land distribution and potential driving factors in Wuhan, China from 1995 to 2015. Ten sets of regular sampling grids with different sizes are used for detecting the influence of multi-scales on GFARM. Results show that the proposed method can filter 50%–70% of redundant rules. GFARM is also successful in discovering spatial association pattern between building land distribution and driving factors.展开更多
Since data services are penetrating into our daily life rapidly, the mobile network becomes more complicated, and the amount of data transmission is more and more increasing. In this case, the traditional statistical ...Since data services are penetrating into our daily life rapidly, the mobile network becomes more complicated, and the amount of data transmission is more and more increasing. In this case, the traditional statistical methods for anomalous cell detection cannot adapt to the evolution of networks, and data mining becomes the mainstream. In this paper, we propose a novel kernel density-based local outlier factor(KLOF) to assign a degree of being an outlier to each object. Firstly, the notion of KLOF is introduced, which captures exactly the relative degree of isolation. Then, by analyzing its properties, including the tightness of upper and lower bounds, sensitivity of density perturbation, we find that KLOF is much greater than 1 for outliers. Lastly, KLOFis applied on a real-world dataset to detect anomalous cells with abnormal key performance indicators(KPIs) to verify its reliability. The experiment shows that KLOF can find outliers efficiently. It can be a guideline for the operators to perform faster and more efficient trouble shooting.展开更多
Data is the primary factor of production in the digital economy,playing a role in promoting the deep integration of the digital economy and the real economy and smoothing the national economic cycle.After entering the...Data is the primary factor of production in the digital economy,playing a role in promoting the deep integration of the digital economy and the real economy and smoothing the national economic cycle.After entering the circulation system of the real economy,data is rapidly integrated into production,circulation,consumption,distribution,and other links.It optimizes resource allocation,unblocks circulation channels,promotes accurate matching of supply and demand,stimulates emerging demand,and forms a virtuous circle of digital technology application,traditional physical enterprise transformation,and technological innovation.Integrated development is an important feature of the digital economy.Data promotes the integration of factors of production,products,enterprises,industries,and markets,which fosters a circular system with deep integration of the digital economy and the real economy.To promote the deep integration of the digital economy and the real economy,the government and business entities should take measures to improve the circular efficiency of the digital economy and the real economy.These measures include attaching importance to the role of data-driven development,improving data capacity,data development,and utilization in enterprises,exploring diverse circulation models of enterprise data,and creating typical application scenarios and industrial data spaces.展开更多
Data is not only a key production factor but also an important foundation and strategic resource that drives economic growth and social progress in the era of digital economy. Data sharing and innovative utilization i...Data is not only a key production factor but also an important foundation and strategic resource that drives economic growth and social progress in the era of digital economy. Data sharing and innovative utilization in an ethical and responsible manner is a focus of the current studies on smart city construction. Taking Shenzhen as an example, this paper analyzes the three typical cases of data legislation, data sharing and utilization,and data-based anti-epidemic action in its smart city construction and explores the respective role of the four actors of the government, enterprises,research institutes, and the public in innovating data utilization to serve the public interests through data sharing. By studying Shenzhen’s multi-actor interaction mechanism of smart city construction, the paper tries to provide a useful experience for the construction of smart cities in China from the perspectives of data management, data sharing, and innovative data utilization.展开更多
Building a unified national market is the foundational support and inherent requirement for establishing a new development pattern.As the underlying architecture and technological foundation of digital China,digital i...Building a unified national market is the foundational support and inherent requirement for establishing a new development pattern.As the underlying architecture and technological foundation of digital China,digital infrastructure provides a new opportunity for accelerating the building of a unified national market.This paper,based on panel data from cities in China from 2009 to 2020,analyzes the impact of digital infrastructure construction on the formation of a unified national market and its mechanisms from both theoretical and empirical perspectives.It also explores the synergistic effect of expanding transportation networks.This paper finds that the construction of digital infrastructure significantly promotes the formation of a unified national market.The enhanced data factor mobility and increased degree of technological specialization brought about by the development of digital infrastructure are important channels affecting the formation of a unified national market.Heterogeneity analysis reveals that in terms of urban characteristics,digital infrastructure more effectively promotes the formation of a unified market in small-and medium-sized cities and coastal cities.In terms of government behavior,an increased focus by the government on digital infrastructure and a reduction in administrative segmentation are more conducive to leveraging the promotional role of digital infrastructure in the formation of a unified national market.Extension analysis demonstrates that the expansion of transportation networks and digital infrastructure can form a synergistic effect,significantly boosting the formation of a unified national market.展开更多
Hydroelectricity is a significant source of electricity in many countries around the world.Blockage of fish migration routes is an environmental impact caused by hydroelectric power plants and schools of fish can accu...Hydroelectricity is a significant source of electricity in many countries around the world.Blockage of fish migration routes is an environmental impact caused by hydroelectric power plants and schools of fish can accumulate in regions of the tailrace with no mitigation measures in place.The present work analyzed the influence of hydraulic conditions in a tailrace on fish presence in the Três Marias Hydroelectric Power Plant(Brazil).There,seven tons of fish were killed in 2007 during turbine shutdown and spillway opening.We generated a 3D hydrodynamic model in the Fluent software that compared velocity magnitude,vorticity magnitude,turbulent kinetic energy,turbulence intensity,dissipation of turbulent energy and hydraulic strain rate along the flow to the presence of Pimelodus maculatus(Mandi)and Prochilodus argenteus(Curimba)obtained during previous acoustic telemetry studies.The results indicated a higher fish presence near Turbine 1,whose values of velocity,vorticity and hydraulic strain were higher than other regions,despite similar turbine discharges.The factorial analysis for mixed data found that the combination of turbulent kinetic energy,dissipation of turbulent energy,turbulence intensity and vorticity explained 34.8%of the variance,followed by the combination of hydraulic rate,vorticity and velocity at 21.3%.Hydrodynamic conditions experienced by both fish species differed.For example,Mandi navigated in areas with diverse hydraulic patterns.Overall,a combination of hydraulic variables attracts both species to the Turbine 1 area,an unsafe region for shoals.展开更多
The industrial ecosystem covers the advanced technologies,key industries and core factors in the process of developing new quality productive forces,serving as an important perspective for investigating the developmen...The industrial ecosystem covers the advanced technologies,key industries and core factors in the process of developing new quality productive forces,serving as an important perspective for investigating the development of new quality productive forces.Based on the analytical framework comprising technologies,industries and factors,this study examines the internal logic of the development of new quality productive forces.Firstly,the four industrial revolutions in history demonstrate that the industrial ecosystem has promoted a series of revolutionary technology innovations.Secondly,the industrial ecosystem promotes the formation and development of emerging industries through resource sharing,knowledge spillover,and technology diffusion.Thirdly,the industrial ecosystem achieves an innovative allocation of factors of production through the dynamic feedback loop mechanisms of data-algorithm-traffic and data-network-activity.The industrial ecosystem consists of three subsystems,including the innovation ecosystem,the business ecosystem,and the platform ecosystem.The three subsystems transcend the boundaries of innovation for new quality productive forces,broaden their application scenarios,and enhance the efficiency of factor allocation,respectively.To further advance the development of new quality productive forces,it is necessary to establish a system ensuring the coordinated development of all factors.Additionally,efforts are required to integrate the dual driving forces of technology innovation and institutional innovation,and enhance the integration of four chains,including the innovation chain,the industrial chain,the capital chain,and the talent chain.展开更多
As a new form of social wealth,digital wealth is becoming an important force in the promotion of common prosperity.In the digital economy era,digital labor and data factors are important sources for creating digital w...As a new form of social wealth,digital wealth is becoming an important force in the promotion of common prosperity.In the digital economy era,digital labor and data factors are important sources for creating digital wealth.The creation of digital commodity wealth is reflected in the process of value formation and value appreciation of digital goods,as well as in the expansion and reproduction process of data production factors.The creation of digital non-commodity wealth needs to rely on the coordination of multiple supply systems including government,enterprises,society and platforms.In the distribution of digital wealth in a socialist market economy,it is necessary to adhere to the basic distribution system with remuneration based on work as the main form and the coexistence of multiple distribution methods.It should fully reflect the value contribution of data factors while also addressing and resolving potential polarization effects caused by the distribution of digital wealth.On the basis of the new development stage,China should steadily advance the creation and accumulation of digital wealth on the basis of constantly strengthening,improving and expanding the digital economy,and should pay attention to standardizing the distribution of digital wealth in order to achieve a solid advance in the common prosperity of all the people.展开更多
Grasping the development trends and patterns of the digital economy and promoting the integrated development of the digital and the real economy is a strategic choice for China's construction of new competitive ad...Grasping the development trends and patterns of the digital economy and promoting the integrated development of the digital and the real economy is a strategic choice for China's construction of new competitive advantages.Based on case studies of the growth of e-commerce,this paper develops five microeconomic propositions about the following issues:the microeconomic features of data factor that differ from traditional production factors;optimal decision-making for digital enterprises;“data+platform”architecture,data transaction governance,and digital infrastructure supply.We apply these theoretical propositions to enterprise innovative practices in different application scenarios such as driverless vehicles and manufacturing digitalization.This paper provides a systematic and consistent theoretical framework for analyzing platform business model innovation and accurately identifying issues of institutional construction that promote the integrated development of the digital and the real economy.展开更多
文摘Data factors are becoming the core driving force in the intelligent transformation of libraries.Based on a systematic review of the progress in data governance practices in libraries both domestically and internationally,this study delves into the mechanism by which data governance promotes data factorization and proposes implementation paths for data governance oriented toward data factorization.The aim is to facilitate the intelligent transformation and high-quality development of libraries.
文摘The public has shown great interest in the data factor and data transactions,but the current attention is overly focused on personal behavioral data and transactions happening at Data Exchanges.To deliver a complete picture of data flaw and transaction,this paper presents a systematic overview of the flow and transaction of personal,corporate and public data on the basis of data factor classification from various perspectives.By utilizing various sources of information,this paper estimates the volume of data generation&storage and the volume&trend of data market transactions for major economies in the world with the following findings:(i)Data classification is diverse due to a broad variety of applying scenarios,and data transaction and profit distribution are complex due to heterogenous entities,ownerships,information density and other attributes of different data types.(ii)Global data transaction has presented with the characteristics of productization,servitization and platform-based mode.(iii)For major economies,there is a commonly observed disequilibrium between data generation scale and storage scale,which is particularly striking for China.(i^v)The global data market is in a nascent stage of rapid development with a transaction volume of about 100 billion US dollars,and China s data market is even more underdeveloped and only accounts for some 10%of the world total.All sectors of the society should be flly aware of the diversity and complexity of data factor classification and data transactions,as well as the arduous and long-term nature of developing and improving relevant institutional systems.Adapting to such features,efforts should be made to improve data classification,enhance computing infrastructure development,foster professional data transaction and development institutions,and perfect the data governance system.
基金supported by the key project of the National Social Science Fund of China,“Research on the Mechanisms for Enhancing the Modernization Level of Industrial and Supply Chains Driven by the Digital Economy”(No.22AZD124)the innovative engineering project of the Chinese Academy of Social Sciences,“Research on the Global Competitiveness of Advanced Manufacturing and the Construction of a Manufacturing Powerhouse in China”(No.2022GJS02)the Dengfeng strategic advantage discipline project in Industrial Economics at the Chinese Academy of Social Sciences.
文摘Service-oriented manufacturing is an important trend in the development of the manufacturing industry.Accelerating the development of service-oriented manufacturing is of great significance for building a modern industrial system,making China a strong manufacturing country,and improving its global industrial competitiveness.With the development of digital technology,service-oriented manufacturing has become a data-intensive production and service process.Data are widely applied in typical scenarios such as research and development,production,delivery to users,and operation and maintenance.Through data insights,software definition,command and control,real-time data streaming and aggregation,it helps to optimize business decisions,achieve economies of scale,enhance flexibility,improve service responsiveness,and unleash value-creation capabilities.This can comprehensively improve the operational performance of service-oriented manufacturing.To further accelerate the development of service-oriented manufacturing,it is necessary to focus on shaping the advantages of manufacturing data factors,increasing the supply of manufacturing data,enhancing the innovation of data technologies and data security,accelerating the research and application of data technology standards,and promoting cross-border data flows.
基金Under the auspices of Special Fund of Ministry of Land and Resources of China in Public Interest(No.201511001)
文摘Association rule mining methods, as a set of important data mining tools, could be used for mining spatial association rules of spatial data. However, applications of these methods are limited for mining results containing large number of redundant rules. In this paper, a new method named Geo-Filtered Association Rules Mining(GFARM) is proposed to effectively eliminate the redundant rules. An application of GFARM is performed as a case study in which association rules are discovered between building land distribution and potential driving factors in Wuhan, China from 1995 to 2015. Ten sets of regular sampling grids with different sizes are used for detecting the influence of multi-scales on GFARM. Results show that the proposed method can filter 50%–70% of redundant rules. GFARM is also successful in discovering spatial association pattern between building land distribution and driving factors.
基金supported by the National Basic Research Program of China (973 Program: 2013CB329004)
文摘Since data services are penetrating into our daily life rapidly, the mobile network becomes more complicated, and the amount of data transmission is more and more increasing. In this case, the traditional statistical methods for anomalous cell detection cannot adapt to the evolution of networks, and data mining becomes the mainstream. In this paper, we propose a novel kernel density-based local outlier factor(KLOF) to assign a degree of being an outlier to each object. Firstly, the notion of KLOF is introduced, which captures exactly the relative degree of isolation. Then, by analyzing its properties, including the tightness of upper and lower bounds, sensitivity of density perturbation, we find that KLOF is much greater than 1 for outliers. Lastly, KLOFis applied on a real-world dataset to detect anomalous cells with abnormal key performance indicators(KPIs) to verify its reliability. The experiment shows that KLOF can find outliers efficiently. It can be a guideline for the operators to perform faster and more efficient trouble shooting.
基金the Research on Collaborative and Mutual Promotion Mechanism for Innovation and Governance of High-Quality Development of the Digital Economy,a major program approved by the National Social Science Fund of China(No.22&ZD070)the Impact of Data Factor Value Realization on Enterprises'Digital Transformation:Mechanisms,Models,and Strategies,a program funded by the National Natural Science Foundation of China(No.72373056).
文摘Data is the primary factor of production in the digital economy,playing a role in promoting the deep integration of the digital economy and the real economy and smoothing the national economic cycle.After entering the circulation system of the real economy,data is rapidly integrated into production,circulation,consumption,distribution,and other links.It optimizes resource allocation,unblocks circulation channels,promotes accurate matching of supply and demand,stimulates emerging demand,and forms a virtuous circle of digital technology application,traditional physical enterprise transformation,and technological innovation.Integrated development is an important feature of the digital economy.Data promotes the integration of factors of production,products,enterprises,industries,and markets,which fosters a circular system with deep integration of the digital economy and the real economy.To promote the deep integration of the digital economy and the real economy,the government and business entities should take measures to improve the circular efficiency of the digital economy and the real economy.These measures include attaching importance to the role of data-driven development,improving data capacity,data development,and utilization in enterprises,exploring diverse circulation models of enterprise data,and creating typical application scenarios and industrial data spaces.
基金supported by the National Natural Science Foundation of China(Project No.52078197)。
文摘Data is not only a key production factor but also an important foundation and strategic resource that drives economic growth and social progress in the era of digital economy. Data sharing and innovative utilization in an ethical and responsible manner is a focus of the current studies on smart city construction. Taking Shenzhen as an example, this paper analyzes the three typical cases of data legislation, data sharing and utilization,and data-based anti-epidemic action in its smart city construction and explores the respective role of the four actors of the government, enterprises,research institutes, and the public in innovating data utilization to serve the public interests through data sharing. By studying Shenzhen’s multi-actor interaction mechanism of smart city construction, the paper tries to provide a useful experience for the construction of smart cities in China from the perspectives of data management, data sharing, and innovative data utilization.
基金supported by the major project of the National Social Science Fund of China,titled“Research on the Innovation and High-Quality Development Path of Modern Circulation Systems under the New‘Dual Circulation’Development Paradigm”(No.21&ZD120)the Fundamental Research Funds for the Central Universities through the projects,titled“Research on the Mechanism,Effects,and Pathways of Digital Empowerment for the Formation of a Unified National Market”(No.2722023DD010)“Research on the Effects of Digital Infrastructure on the Building of a Unified National Market”(No.202411022).
文摘Building a unified national market is the foundational support and inherent requirement for establishing a new development pattern.As the underlying architecture and technological foundation of digital China,digital infrastructure provides a new opportunity for accelerating the building of a unified national market.This paper,based on panel data from cities in China from 2009 to 2020,analyzes the impact of digital infrastructure construction on the formation of a unified national market and its mechanisms from both theoretical and empirical perspectives.It also explores the synergistic effect of expanding transportation networks.This paper finds that the construction of digital infrastructure significantly promotes the formation of a unified national market.The enhanced data factor mobility and increased degree of technological specialization brought about by the development of digital infrastructure are important channels affecting the formation of a unified national market.Heterogeneity analysis reveals that in terms of urban characteristics,digital infrastructure more effectively promotes the formation of a unified market in small-and medium-sized cities and coastal cities.In terms of government behavior,an increased focus by the government on digital infrastructure and a reduction in administrative segmentation are more conducive to leveraging the promotional role of digital infrastructure in the formation of a unified national market.Extension analysis demonstrates that the expansion of transportation networks and digital infrastructure can form a synergistic effect,significantly boosting the formation of a unified national market.
基金supporting the master,and PhD scholarships of Guilherme Souzasupport through projeto“Comportamento de peixes a jusante de barragens,subsídios para a conservação da Ictiofauna”,the Conselho Nacional de Desenvolvimento Científico e Tecnológico(CNPQ)through the Projeto Universal(456390/2014-6)as well as research productivity grant of Hersilia Santos(308413/2025-3)and Paulo Pompeu,and the IIHR—Hydroscience&Engineering(The University of Iowa)for using its facilities during the development of Hersília Santos pos-docfinanced by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior,Brazil(CAPES),Finance Code 001.
文摘Hydroelectricity is a significant source of electricity in many countries around the world.Blockage of fish migration routes is an environmental impact caused by hydroelectric power plants and schools of fish can accumulate in regions of the tailrace with no mitigation measures in place.The present work analyzed the influence of hydraulic conditions in a tailrace on fish presence in the Três Marias Hydroelectric Power Plant(Brazil).There,seven tons of fish were killed in 2007 during turbine shutdown and spillway opening.We generated a 3D hydrodynamic model in the Fluent software that compared velocity magnitude,vorticity magnitude,turbulent kinetic energy,turbulence intensity,dissipation of turbulent energy and hydraulic strain rate along the flow to the presence of Pimelodus maculatus(Mandi)and Prochilodus argenteus(Curimba)obtained during previous acoustic telemetry studies.The results indicated a higher fish presence near Turbine 1,whose values of velocity,vorticity and hydraulic strain were higher than other regions,despite similar turbine discharges.The factorial analysis for mixed data found that the combination of turbulent kinetic energy,dissipation of turbulent energy,turbulence intensity and vorticity explained 34.8%of the variance,followed by the combination of hydraulic rate,vorticity and velocity at 21.3%.Hydrodynamic conditions experienced by both fish species differed.For example,Mandi navigated in areas with diverse hydraulic patterns.Overall,a combination of hydraulic variables attracts both species to the Turbine 1 area,an unsafe region for shoals.
基金supported by the major project of the National Social Science Fund of China titled“Theoretical and Practical Research on Digital Industry Cluster Innovation Based on a Deep Integration of Digital and Real Economies”(No.24&ZD074)the Chinese Academy of Social Sciences'Innovation Program titled“Research on the Basic Theory and Economic Contribution of Data Factors”(No.2024CJY0103).
文摘The industrial ecosystem covers the advanced technologies,key industries and core factors in the process of developing new quality productive forces,serving as an important perspective for investigating the development of new quality productive forces.Based on the analytical framework comprising technologies,industries and factors,this study examines the internal logic of the development of new quality productive forces.Firstly,the four industrial revolutions in history demonstrate that the industrial ecosystem has promoted a series of revolutionary technology innovations.Secondly,the industrial ecosystem promotes the formation and development of emerging industries through resource sharing,knowledge spillover,and technology diffusion.Thirdly,the industrial ecosystem achieves an innovative allocation of factors of production through the dynamic feedback loop mechanisms of data-algorithm-traffic and data-network-activity.The industrial ecosystem consists of three subsystems,including the innovation ecosystem,the business ecosystem,and the platform ecosystem.The three subsystems transcend the boundaries of innovation for new quality productive forces,broaden their application scenarios,and enhance the efficiency of factor allocation,respectively.To further advance the development of new quality productive forces,it is necessary to establish a system ensuring the coordinated development of all factors.Additionally,efforts are required to integrate the dual driving forces of technology innovation and institutional innovation,and enhance the integration of four chains,including the innovation chain,the industrial chain,the capital chain,and the talent chain.
文摘As a new form of social wealth,digital wealth is becoming an important force in the promotion of common prosperity.In the digital economy era,digital labor and data factors are important sources for creating digital wealth.The creation of digital commodity wealth is reflected in the process of value formation and value appreciation of digital goods,as well as in the expansion and reproduction process of data production factors.The creation of digital non-commodity wealth needs to rely on the coordination of multiple supply systems including government,enterprises,society and platforms.In the distribution of digital wealth in a socialist market economy,it is necessary to adhere to the basic distribution system with remuneration based on work as the main form and the coexistence of multiple distribution methods.It should fully reflect the value contribution of data factors while also addressing and resolving potential polarization effects caused by the distribution of digital wealth.On the basis of the new development stage,China should steadily advance the creation and accumulation of digital wealth on the basis of constantly strengthening,improving and expanding the digital economy,and should pay attention to standardizing the distribution of digital wealth in order to achieve a solid advance in the common prosperity of all the people.
文摘Grasping the development trends and patterns of the digital economy and promoting the integrated development of the digital and the real economy is a strategic choice for China's construction of new competitive advantages.Based on case studies of the growth of e-commerce,this paper develops five microeconomic propositions about the following issues:the microeconomic features of data factor that differ from traditional production factors;optimal decision-making for digital enterprises;“data+platform”architecture,data transaction governance,and digital infrastructure supply.We apply these theoretical propositions to enterprise innovative practices in different application scenarios such as driverless vehicles and manufacturing digitalization.This paper provides a systematic and consistent theoretical framework for analyzing platform business model innovation and accurately identifying issues of institutional construction that promote the integrated development of the digital and the real economy.
