In the era of green logistics,digital transformation has become an effective means for the logistics industry’s high-quality development.Using listed companies in China’s logistics industry from 2010 to 2021 as the ...In the era of green logistics,digital transformation has become an effective means for the logistics industry’s high-quality development.Using listed companies in China’s logistics industry from 2010 to 2021 as the research samples,this paper conducts an empirical test on the impact of the digital transformation of logistics enterprises on their green in-novation.Specifically,enterprise digital transformation indicators are constructed through the text analysis method,and the fixed-effects model is applied for analysis.The results indicate that the digital transformation of logistics enterprises has a significant promoting effect on their green innovation;the promoting effect of the digital transformation of logistics enterprises on green innovation is primarily achieved by easing corporate financing constraints and reducing corporate en-vironmental uncertainty;and the impact of digital transformation on green innovation is geographically heterogeneous.展开更多
Artificial intelligence(AI)-native communication is considered one of the key technologies for the development of 6G mobile communication networks.This paper investigates the architecture for developing the network da...Artificial intelligence(AI)-native communication is considered one of the key technologies for the development of 6G mobile communication networks.This paper investigates the architecture for developing the network data analytics function(NWDAF)in 6G AI-native networks.The architecture integrates two key components:data collection and management,and model training and management.It achieves real-time data collection and management,establishing a complete workflow encompassing AI model training,deployment,and intelligent decision-making.The architecture workflow is evaluated through a vertical scaling use case by constructing an AI-native network testbed on Kubernetes.Within this proposed NWDAF,several machine learning(ML)models are trained to make vertical scaling decisions for user plane function(UPF)instances based on data collected from various network functions(NFs).These decisions are executed through the Ku-bernetes API,which dynamically allocates appropriate resources to UPF instances.The experimental results show that all implemented models demonstrate satisfactory predictive capabilities.Moreover,compared with the threshold-based method in Kubernetes,all models show a significant advantage in response time.This study not only introduces a novel AI-native NWDAF architecture but also demonstrates the potential of AI models to significantly improve network management and resource scaling in 6G networks.展开更多
Focusing on the theme of"Chinese Enterprises Participating in Overseas Exhibitions",China Council for the Promotion of International Trade (CCPIT) Think Tank produced the Report on Chinese Enterprises Partic...Focusing on the theme of"Chinese Enterprises Participating in Overseas Exhibitions",China Council for the Promotion of International Trade (CCPIT) Think Tank produced the Report on Chinese Enterprises Participating in Overseas Exhibitions2024 by analyzing the sample survey data of Chinese enterprises participating in key overseas exhibitions in 2024.This issue extracts and sorts out the top 10 cities of Chinese enterprises participating in overseas exhibitions in2024.展开更多
Small and Medium-sized Enterprises (SMEs) are considered the backbone of global economy, but they often face cyberthreats which threaten their financial stability and operational continuity. This work aims to offer a ...Small and Medium-sized Enterprises (SMEs) are considered the backbone of global economy, but they often face cyberthreats which threaten their financial stability and operational continuity. This work aims to offer a proactive cybersecurity approach to safeguard SMEs against these threats. Furthermore, to mitigate these risks, we propose a comprehensive framework of practical and scalable cybersecurity measurements/protocols specifically for SMEs. These measures encompass a spectrum of solutions, from technological fortifications to employee training initiatives and regulatory compliance strategies, in an effort to cultivate resilience and awareness among SMEs. Additionally, we introduce a specially designed a Java-based questionnaire software tool in order to provide an initial framework for essential cybersecurity measures and evaluation for SMEs. This tool covers crucial topics such as social engineering and phishing attempts, implementing antimalware and ransomware defense mechanisms, secure data management and backup strategies and methods for preventing insider threats. By incorporating globally recognized frameworks and standards like ISO/IEC 27001 and NIST guidelines, this questionnaire offers a roadmap for establishing and enhancing cybersecurity measures.展开更多
As a key sector in advancing China’s“carbon neutrality”goal,the machinery manufacturing industry has achieved remarkable development in recent years.Against this backdrop,the scientific and objective evaluation of ...As a key sector in advancing China’s“carbon neutrality”goal,the machinery manufacturing industry has achieved remarkable development in recent years.Against this backdrop,the scientific and objective evaluation of the financial performance of machinery manufacturing enterprises has become a pressing issue in financial research.This topic is not only crucial for optimizing enterprise management and improving operational efficiency but also essential for enhancing overall industry performance and promoting sustainable development.This paper first introduces the concept of financial performance,followed by an analysis of related financial performance evaluation theories.It then focuses on the application of the entropy method in evaluating the financial performance of machinery manufacturing enterprises,detailing its analytical steps.Finally,a financial performance evaluation index system is constructed based on four dimensions:profitability,solvency,operational efficiency,and growth potential.展开更多
In October 2023,Chinese President Xi Jinping emphasized that it is necessary to promote the high-quality development of the joint construction of the Belt and Road Initiative and build a global connectivity partnershi...In October 2023,Chinese President Xi Jinping emphasized that it is necessary to promote the high-quality development of the joint construction of the Belt and Road Initiative and build a global connectivity partnership at the third Belt and Road Forum for International Cooperation.展开更多
Although 6G networks combined with artificial intelligence present revolutionary prospects for healthcare delivery,resource management in dense medical device networks stays a basic issue.Reliable communication direct...Although 6G networks combined with artificial intelligence present revolutionary prospects for healthcare delivery,resource management in dense medical device networks stays a basic issue.Reliable communication directly affects patient outcomes in these settings;nonetheless,current resource allocation techniques struggle with complicated interference patterns and different service needs of AI-native healthcare systems.In dense installations where conventional approaches fail,this paper tackles the challenge of combining network efficiency with medical care priority.Thus,we offer a Dueling Deep Q-Network(DDQN)-based resource allocation approach for AI-native healthcare systems in 6G dense networks.First,we create a point-line graph coloringbased interference model to capture the unique characteristics of medical device communications.Building on this foundation,we suggest a DDQN approach to optimal resource allocation over multiple medical services by combining advantage estimate with healthcare-aware state evaluation.Unlike traditional graph-based models,this one correctly depicts the overlapping coverage areas common in hospital environments.Building on this basis,our DDQN design allows the system to prioritize medical needs while distributing resources by separating healthcare state assessment from advantage estimation.Experimental findings show that the suggested DDQN outperforms state-of-the-art techniques in dense healthcare installations by 14.6%greater network throughput and 13.7%better resource use.The solution shows particularly strong in maintaining service quality under vital conditions with 5.5%greater Qo S satisfaction for emergency services and 8.2%quicker recovery from interruptions.展开更多
A briefing on policy was held by the State Council Information Office of China on February 20.At the briefing,Zhou Weijun,Director General of the Credit Supervision and Management Department,State Administration for M...A briefing on policy was held by the State Council Information Office of China on February 20.At the briefing,Zhou Weijun,Director General of the Credit Supervision and Management Department,State Administration for Market Regulation(SAMR),expounded the policy on the participation of foreign-owned enterprises in the development and revision of standards for the large-scale equipment upgrade and consumer goods trade-in programs.展开更多
At the turn of the year,major state-owned enterprises such as CNPC,Sinopec and CNOOC held their 2025 town hall meetings to review the past year's achievements,summarize experiences,identify gaps,plan new tasks,and...At the turn of the year,major state-owned enterprises such as CNPC,Sinopec and CNOOC held their 2025 town hall meetings to review the past year's achievements,summarize experiences,identify gaps,plan new tasks,and set clear directions for efforts in the coming year.展开更多
Cash flow is a core element for enterprises to maintain operations and development.Cash flow forecasting models,through systematic analysis of an enterprise’s historical cash flow data,trends in operating activities,...Cash flow is a core element for enterprises to maintain operations and development.Cash flow forecasting models,through systematic analysis of an enterprise’s historical cash flow data,trends in operating activities,and external environmental factors,scientifically predict the scale,direction,and fluctuation of cash flow within a certain period in the future.This article focuses on the application of cash flow forecasting models in enterprise investment and financing decisions,sorts out the types and core functions of the models,analyzes their specific roles in investment project screening,financing plan formulation,risk prevention and control,and fund allocation,points out the existing problems in current applications,and proposes optimization paths.Research shows that the scientific application of cash flow forecasting models can enhance the accuracy and rationality of enterprises’investment and financing decisions,and help enterprises achieve sustainable development.展开更多
Rational laboratory layout design and scientific management systems are key to improving overall laboratory efficiency and safety,providing a solid foundation and guarantee for the smooth progress of scientific resear...Rational laboratory layout design and scientific management systems are key to improving overall laboratory efficiency and safety,providing a solid foundation and guarantee for the smooth progress of scientific research.This article addresses a series of issues such as low testing efficiency caused by unreasonable laboratory layouts,incomplete or outdated equipment configurations affecting testing accuracy,and safety hazards arising from the lack of effective laboratory management systems.It conducts an in-depth exploration of the design and planning strategies for physicochemical laboratories.By proposing specific designs and guidelines for the location selection,functional zoning,and layout requirements of physicochemical laboratories,the aim is to optimize laboratory space utilization,enhance testing efficiency,and ensure the advancement of equipment configurations and the accuracy of testing precision.Simultaneously,it emphasizes the establishment of an effective laboratory management system to prevent and control safety hazards,safeguarding the lives of laboratory personnel and ensuring stable laboratory operations.展开更多
In recent years,with the advent of the digital era,digital transformation has become a mainstream social trend.As a powerful driving force,digital transformation is profoundly changing the operation mode and managemen...In recent years,with the advent of the digital era,digital transformation has become a mainstream social trend.As a powerful driving force,digital transformation is profoundly changing the operation mode and management method of enterprise supply chains.Enterprises should seize this opportunity to continuously enhance supply chain resilience.Enhancing enterprise supply chain resilience based on digital transformation can not only improve the supply chain’s resistance and recovery capabilities,but also further enhance its innovation capability.This helps enterprises better respond to various unstable factors and provides protection for promoting the sustainable development of the supply chain.In this regard,this paper first expounds the multi-dimensional value of digital transformation in enhancing enterprise supply chain resilience,and then puts forward effective paths,aiming to provide certain reference for relevant researchers.展开更多
To promote energy conservation,emission reduction,and sustainable development in thermal power enterprises,this study conducted a detailed analysis of the problems existing in measurement management in these enterpris...To promote energy conservation,emission reduction,and sustainable development in thermal power enterprises,this study conducted a detailed analysis of the problems existing in measurement management in these enterprises and explored targeted solutions.The analysis found that,faced with increasingly stringent environmental protection requirements and urgent needs to improve energy efficiency,thermal power enterprises must address the current issues in energy measurement management.They should actively respond to the national call for energy conservation and emission reduction,continuously optimize energy measurement management processes,improve energy utilization efficiency,reduce unnecessary energy consumption and emissions,and lay a solid foundation for the green transformation and sustainable development of the industry.展开更多
With intensifying market competition and growing financial complexity,strengthening risk control in corporate capital investment management has become imperative.This paper examines the critical role of risk managemen...With intensifying market competition and growing financial complexity,strengthening risk control in corporate capital investment management has become imperative.This paper examines the critical role of risk management in ensuring financial stability,optimizing resource allocation,and achieving strategic objectives.It identifies key risk categories including market volatility,liquidity challenges,operational risks,and strategic misalignment,while proposing targeted strategies such as dynamic monitoring,strategic planning,decision-making optimization,and focused risk management.展开更多
The winners of the ITMF Sustainability&Innovation Awards 2025 and the ITMF Start-up Awards 2025 presented their project at the ITMF&IAF Conference 2025 which was held from 24-25 October in Yogyakarta,Indonesia...The winners of the ITMF Sustainability&Innovation Awards 2025 and the ITMF Start-up Awards 2025 presented their project at the ITMF&IAF Conference 2025 which was held from 24-25 October in Yogyakarta,Indonesia and was co-hosted by Indonesia Textile Industry Association(API).展开更多
The livestock farming is an important pillar of the rural economy in China.To explore the impact of government technical subsidies and pollution penalties on the digital and intelligent transformation of livestock ent...The livestock farming is an important pillar of the rural economy in China.To explore the impact of government technical subsidies and pollution penalties on the digital and intelligent transformation of livestock enterprises,an evolutionary game theoretical model between the government and livestock enterprises is constructed.The interaction mechanism of the game between the government and breeding enterprises is explored,and simulation is conducted.The research results show that the combined strategy of pollution penalties and technical subsidies is the optimal strategy for the government;the system is jointly driven by government subsidies,technical costs of transformation input,public willingness,and enterprise willingness.展开更多
Currently,the transformation and upgrading of digitalization have become a new task that enterprises urgently need to address.To further enhance the leadership of enterprise leaders,relevant enterprise staff should fa...Currently,the transformation and upgrading of digitalization have become a new task that enterprises urgently need to address.To further enhance the leadership of enterprise leaders,relevant enterprise staff should face up to the infinite possibilities that generative AI brings to enterprise management.Based on this,this paper will briefly analyze the value connotation of generative AI empowering the improvement of enterprise leadership and the relevant influencing factors,and discuss the strategies for enhancing enterprise leadership in the generative AI era,in order to promote the smooth progress of enterprises’digital transformation and upgrading.展开更多
The prioritization of financial infrastructure construction serves as a crucial guarantee for the high-quality development of small and micro enterprises.However,resolving the financing challenges of small and micro e...The prioritization of financial infrastructure construction serves as a crucial guarantee for the high-quality development of small and micro enterprises.However,resolving the financing challenges of small and micro enterprises is not a task to be accomplished overnight.It necessitates the establishment of a long-term mechanism,the acceleration of financial innovation,the gradual enhancement of the vitality of micro-entities,and the creation of a stable and healthy economic development environment.Therefore,the author first analyzes the current financing situation of small and micro enterprises,as well as the problems they face during the process of financial innovation enabling small and micro enterprises to access financing and solve their financing difficulties,such as insufficient technical support,an imperfect risk control system,incomplete information disclosure,and a lack of credit data.Subsequently,targeted paths for financial innovation are proposed,aiming to offer suggestions for solving the financing problems of small and micro enterprises.展开更多
基金supported by the National Natural Science Foundation of China(72374061,72204243)the Ministry of Education’s Humanities and Social Science Research Youth Fund Project(20YJC630138,22YJC630056)+1 种基金Anhui Provincial Natural Science Foundation(2208085UD02)New Liberal Arts Fund Expansion Project of University of Science and Technology of China(FSSF-A-230317).
文摘In the era of green logistics,digital transformation has become an effective means for the logistics industry’s high-quality development.Using listed companies in China’s logistics industry from 2010 to 2021 as the research samples,this paper conducts an empirical test on the impact of the digital transformation of logistics enterprises on their green in-novation.Specifically,enterprise digital transformation indicators are constructed through the text analysis method,and the fixed-effects model is applied for analysis.The results indicate that the digital transformation of logistics enterprises has a significant promoting effect on their green innovation;the promoting effect of the digital transformation of logistics enterprises on green innovation is primarily achieved by easing corporate financing constraints and reducing corporate en-vironmental uncertainty;and the impact of digital transformation on green innovation is geographically heterogeneous.
基金supported by the National Key Research and Development Program of China under Grant No.2023YFE0200700National Natural Science Foundation of China under Grant No.62171474ZTE Industry University-Institute Cooperation Funds under Grant No.IA20241014013。
文摘Artificial intelligence(AI)-native communication is considered one of the key technologies for the development of 6G mobile communication networks.This paper investigates the architecture for developing the network data analytics function(NWDAF)in 6G AI-native networks.The architecture integrates two key components:data collection and management,and model training and management.It achieves real-time data collection and management,establishing a complete workflow encompassing AI model training,deployment,and intelligent decision-making.The architecture workflow is evaluated through a vertical scaling use case by constructing an AI-native network testbed on Kubernetes.Within this proposed NWDAF,several machine learning(ML)models are trained to make vertical scaling decisions for user plane function(UPF)instances based on data collected from various network functions(NFs).These decisions are executed through the Ku-bernetes API,which dynamically allocates appropriate resources to UPF instances.The experimental results show that all implemented models demonstrate satisfactory predictive capabilities.Moreover,compared with the threshold-based method in Kubernetes,all models show a significant advantage in response time.This study not only introduces a novel AI-native NWDAF architecture but also demonstrates the potential of AI models to significantly improve network management and resource scaling in 6G networks.
文摘Focusing on the theme of"Chinese Enterprises Participating in Overseas Exhibitions",China Council for the Promotion of International Trade (CCPIT) Think Tank produced the Report on Chinese Enterprises Participating in Overseas Exhibitions2024 by analyzing the sample survey data of Chinese enterprises participating in key overseas exhibitions in 2024.This issue extracts and sorts out the top 10 cities of Chinese enterprises participating in overseas exhibitions in2024.
文摘Small and Medium-sized Enterprises (SMEs) are considered the backbone of global economy, but they often face cyberthreats which threaten their financial stability and operational continuity. This work aims to offer a proactive cybersecurity approach to safeguard SMEs against these threats. Furthermore, to mitigate these risks, we propose a comprehensive framework of practical and scalable cybersecurity measurements/protocols specifically for SMEs. These measures encompass a spectrum of solutions, from technological fortifications to employee training initiatives and regulatory compliance strategies, in an effort to cultivate resilience and awareness among SMEs. Additionally, we introduce a specially designed a Java-based questionnaire software tool in order to provide an initial framework for essential cybersecurity measures and evaluation for SMEs. This tool covers crucial topics such as social engineering and phishing attempts, implementing antimalware and ransomware defense mechanisms, secure data management and backup strategies and methods for preventing insider threats. By incorporating globally recognized frameworks and standards like ISO/IEC 27001 and NIST guidelines, this questionnaire offers a roadmap for establishing and enhancing cybersecurity measures.
文摘As a key sector in advancing China’s“carbon neutrality”goal,the machinery manufacturing industry has achieved remarkable development in recent years.Against this backdrop,the scientific and objective evaluation of the financial performance of machinery manufacturing enterprises has become a pressing issue in financial research.This topic is not only crucial for optimizing enterprise management and improving operational efficiency but also essential for enhancing overall industry performance and promoting sustainable development.This paper first introduces the concept of financial performance,followed by an analysis of related financial performance evaluation theories.It then focuses on the application of the entropy method in evaluating the financial performance of machinery manufacturing enterprises,detailing its analytical steps.Finally,a financial performance evaluation index system is constructed based on four dimensions:profitability,solvency,operational efficiency,and growth potential.
文摘In October 2023,Chinese President Xi Jinping emphasized that it is necessary to promote the high-quality development of the joint construction of the Belt and Road Initiative and build a global connectivity partnership at the third Belt and Road Forum for International Cooperation.
基金supported by National Natural Science Foundation of China under Granted No.62202247。
文摘Although 6G networks combined with artificial intelligence present revolutionary prospects for healthcare delivery,resource management in dense medical device networks stays a basic issue.Reliable communication directly affects patient outcomes in these settings;nonetheless,current resource allocation techniques struggle with complicated interference patterns and different service needs of AI-native healthcare systems.In dense installations where conventional approaches fail,this paper tackles the challenge of combining network efficiency with medical care priority.Thus,we offer a Dueling Deep Q-Network(DDQN)-based resource allocation approach for AI-native healthcare systems in 6G dense networks.First,we create a point-line graph coloringbased interference model to capture the unique characteristics of medical device communications.Building on this foundation,we suggest a DDQN approach to optimal resource allocation over multiple medical services by combining advantage estimate with healthcare-aware state evaluation.Unlike traditional graph-based models,this one correctly depicts the overlapping coverage areas common in hospital environments.Building on this basis,our DDQN design allows the system to prioritize medical needs while distributing resources by separating healthcare state assessment from advantage estimation.Experimental findings show that the suggested DDQN outperforms state-of-the-art techniques in dense healthcare installations by 14.6%greater network throughput and 13.7%better resource use.The solution shows particularly strong in maintaining service quality under vital conditions with 5.5%greater Qo S satisfaction for emergency services and 8.2%quicker recovery from interruptions.
文摘A briefing on policy was held by the State Council Information Office of China on February 20.At the briefing,Zhou Weijun,Director General of the Credit Supervision and Management Department,State Administration for Market Regulation(SAMR),expounded the policy on the participation of foreign-owned enterprises in the development and revision of standards for the large-scale equipment upgrade and consumer goods trade-in programs.
文摘At the turn of the year,major state-owned enterprises such as CNPC,Sinopec and CNOOC held their 2025 town hall meetings to review the past year's achievements,summarize experiences,identify gaps,plan new tasks,and set clear directions for efforts in the coming year.
文摘Cash flow is a core element for enterprises to maintain operations and development.Cash flow forecasting models,through systematic analysis of an enterprise’s historical cash flow data,trends in operating activities,and external environmental factors,scientifically predict the scale,direction,and fluctuation of cash flow within a certain period in the future.This article focuses on the application of cash flow forecasting models in enterprise investment and financing decisions,sorts out the types and core functions of the models,analyzes their specific roles in investment project screening,financing plan formulation,risk prevention and control,and fund allocation,points out the existing problems in current applications,and proposes optimization paths.Research shows that the scientific application of cash flow forecasting models can enhance the accuracy and rationality of enterprises’investment and financing decisions,and help enterprises achieve sustainable development.
文摘Rational laboratory layout design and scientific management systems are key to improving overall laboratory efficiency and safety,providing a solid foundation and guarantee for the smooth progress of scientific research.This article addresses a series of issues such as low testing efficiency caused by unreasonable laboratory layouts,incomplete or outdated equipment configurations affecting testing accuracy,and safety hazards arising from the lack of effective laboratory management systems.It conducts an in-depth exploration of the design and planning strategies for physicochemical laboratories.By proposing specific designs and guidelines for the location selection,functional zoning,and layout requirements of physicochemical laboratories,the aim is to optimize laboratory space utilization,enhance testing efficiency,and ensure the advancement of equipment configurations and the accuracy of testing precision.Simultaneously,it emphasizes the establishment of an effective laboratory management system to prevent and control safety hazards,safeguarding the lives of laboratory personnel and ensuring stable laboratory operations.
文摘In recent years,with the advent of the digital era,digital transformation has become a mainstream social trend.As a powerful driving force,digital transformation is profoundly changing the operation mode and management method of enterprise supply chains.Enterprises should seize this opportunity to continuously enhance supply chain resilience.Enhancing enterprise supply chain resilience based on digital transformation can not only improve the supply chain’s resistance and recovery capabilities,but also further enhance its innovation capability.This helps enterprises better respond to various unstable factors and provides protection for promoting the sustainable development of the supply chain.In this regard,this paper first expounds the multi-dimensional value of digital transformation in enhancing enterprise supply chain resilience,and then puts forward effective paths,aiming to provide certain reference for relevant researchers.
文摘To promote energy conservation,emission reduction,and sustainable development in thermal power enterprises,this study conducted a detailed analysis of the problems existing in measurement management in these enterprises and explored targeted solutions.The analysis found that,faced with increasingly stringent environmental protection requirements and urgent needs to improve energy efficiency,thermal power enterprises must address the current issues in energy measurement management.They should actively respond to the national call for energy conservation and emission reduction,continuously optimize energy measurement management processes,improve energy utilization efficiency,reduce unnecessary energy consumption and emissions,and lay a solid foundation for the green transformation and sustainable development of the industry.
文摘With intensifying market competition and growing financial complexity,strengthening risk control in corporate capital investment management has become imperative.This paper examines the critical role of risk management in ensuring financial stability,optimizing resource allocation,and achieving strategic objectives.It identifies key risk categories including market volatility,liquidity challenges,operational risks,and strategic misalignment,while proposing targeted strategies such as dynamic monitoring,strategic planning,decision-making optimization,and focused risk management.
文摘The winners of the ITMF Sustainability&Innovation Awards 2025 and the ITMF Start-up Awards 2025 presented their project at the ITMF&IAF Conference 2025 which was held from 24-25 October in Yogyakarta,Indonesia and was co-hosted by Indonesia Textile Industry Association(API).
文摘The livestock farming is an important pillar of the rural economy in China.To explore the impact of government technical subsidies and pollution penalties on the digital and intelligent transformation of livestock enterprises,an evolutionary game theoretical model between the government and livestock enterprises is constructed.The interaction mechanism of the game between the government and breeding enterprises is explored,and simulation is conducted.The research results show that the combined strategy of pollution penalties and technical subsidies is the optimal strategy for the government;the system is jointly driven by government subsidies,technical costs of transformation input,public willingness,and enterprise willingness.
文摘Currently,the transformation and upgrading of digitalization have become a new task that enterprises urgently need to address.To further enhance the leadership of enterprise leaders,relevant enterprise staff should face up to the infinite possibilities that generative AI brings to enterprise management.Based on this,this paper will briefly analyze the value connotation of generative AI empowering the improvement of enterprise leadership and the relevant influencing factors,and discuss the strategies for enhancing enterprise leadership in the generative AI era,in order to promote the smooth progress of enterprises’digital transformation and upgrading.
文摘The prioritization of financial infrastructure construction serves as a crucial guarantee for the high-quality development of small and micro enterprises.However,resolving the financing challenges of small and micro enterprises is not a task to be accomplished overnight.It necessitates the establishment of a long-term mechanism,the acceleration of financial innovation,the gradual enhancement of the vitality of micro-entities,and the creation of a stable and healthy economic development environment.Therefore,the author first analyzes the current financing situation of small and micro enterprises,as well as the problems they face during the process of financial innovation enabling small and micro enterprises to access financing and solve their financing difficulties,such as insufficient technical support,an imperfect risk control system,incomplete information disclosure,and a lack of credit data.Subsequently,targeted paths for financial innovation are proposed,aiming to offer suggestions for solving the financing problems of small and micro enterprises.
