The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type descriptio...The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type description to the relational semantic recording XML data relations, and using an XML data mining language, the XML data mining system presents a strategy to mine information on XML.展开更多
In order to ensure the safety,quality and efficiency of computer numerical control(CNC)machine tool processing,a real-time monitoring and visible solution for CNC machine tools based on hyper text markup language(HTML...In order to ensure the safety,quality and efficiency of computer numerical control(CNC)machine tool processing,a real-time monitoring and visible solution for CNC machine tools based on hyper text markup language(HTML)5 is proposed.The characteristics of the real-time monitoring technology of CNC machine tools under the traditional Client/Server(C/S)structure are compared and analyzed,and the technical drawbacks are proposed.Web real-time communication technology and browser drawing technology are deeply studied.A real-time monitoring and visible system for CNC machine tool data is developed based on Metro platform,combining WebSocket real-time communication technology and Canvas drawing technology.The system architecture is given,and the functions and implementation methods of the system are described in detail.The practical application results show that the WebSocket real-time communication technology can effectively reduce the bandwidth and network delay and save server resources.The numerical control machine data monitoring system can intuitively reflect the machine data,and the visible effect is good.It realizes timely monitoring of equipment alarms and prompts maintenance and management personnel.展开更多
Based on China's industrial enterprises-customs matched data, this paper utilizes two-tier stochastic frontier analysis method to estimate and verify the extent to which selection effect and competition effect inf...Based on China's industrial enterprises-customs matched data, this paper utilizes two-tier stochastic frontier analysis method to estimate and verify the extent to which selection effect and competition effect influence exporting firms' markup. Our findings suggest that the interaction between selection effect and competition effect ultimately causes actual firm markup to be higher than the baseline markup by 7.11%. Exporting firms' actual markup is higher than the baseline markup by different degrees. In terms of the decomposition of selection effect, TFP explains for 28.05% of selection effect, and nonproductivity factors explain for the rest 71.95%. By controlling for the type of firms' export,the export-productivity paradox only exists for processing trade firms, which shows that with increasing trade facilitation, the policy incentives to encourage firms to export are major contributors to the low export markups.展开更多
In this paper,digital transformation is included in the heterogeneity model of firms.Based on a general equilibrium analysis,we find that under the effect of diminishing marginal productivity,digital transformation do...In this paper,digital transformation is included in the heterogeneity model of firms.Based on a general equilibrium analysis,we find that under the effect of diminishing marginal productivity,digital transformation does not always have a positive impact on firms'markups,but has an"inverted U-shaped"nonlinear influence,which first promotes and then inhibits markups.Firm innovation and firm productivity are the key micro-mechanisms for the above effects to play a role.Based on the analysis of typical facts and empirical data of listed companies,the measurement test yields the following results.First,digital transformation can significantly improve firms'markups when it is below a specific threshold value,but it will have a negative impact when it exceeds this value.That is,there is an"inverted U-shaped"nonlinear relationship between digital transformation and firms'markups.Second,the heterogeneity analysis shows that digital transformation has a greater effect on the markups of state-owned firms,export firms and technology-intensive firms than on the markups of other firms.Third,digital transformation has an impact on firms'markups through two key mechanisms:firm innovation ability and production eficiency.The quantitative empirical results confirm the correctness of the theoretical expectations.Therefore,firms need to grasp the strategic opportunities brought by the progress of digital technology and accelerate the process of promoting the digital transformation.Firms should make proper choices in the selection and arrangement of key areas,as well as avoid possible problems such as"too much".In this way,we can better consolidate the micro foundation of China's high-quality economic development.展开更多
With object oriented design/analysis, a general purpose corrosion data model (GPCDM) and a corrosion data markup language (CDML) are created to meet the increasing demand of multi-source corrosion data integration and...With object oriented design/analysis, a general purpose corrosion data model (GPCDM) and a corrosion data markup language (CDML) are created to meet the increasing demand of multi-source corrosion data integration and sharing. "Cor- rosion data island" is proposed to model the corrosion data of comprehensiveness and self-contained. The island of tree-liked structure contains six first-level child nodes to characterize every important aspect of the corrosion data. Each first-level node holds more child nodes recursively as data containers. The design of data structure inside the island is intended to decrease the learning curve and break the acceptance barrier of GPCDM and CDML. A detailed explanation about the role and meaning of the first-level nodes are presented with examples chosen carefully in order to review the design goals and requirements proposed in the previous paper. Then, CDML tag structure and CDML application programming interface (API) are introduced in logic order. At the end, the roles of GPCDM, CDML and its API in the multi-source corrosion data integration and information sharing are highlighted and projected.展开更多
Cross-country comparison reveals an unusually small service sector in China. Using firm-level data from Chinas 2008 economic census, we find two facts that speak to a novel mechanism of misallocation within service an...Cross-country comparison reveals an unusually small service sector in China. Using firm-level data from Chinas 2008 economic census, we find two facts that speak to a novel mechanism of misallocation within service and between manufacturing and service sectors. First, compared with the manufacturing sector, there are more stateowned enterprises and fewer entrants in the service sector. Second, markups increase with firm size, and the increase is more dramatic among service firms. We interpret these facts through the lens of a monopolistic competition model with heterogeneous firms and variable markups. A multisector model shows a new channel that translates asymmetric barriers to entry across sectors into sectoral markup differences, which in turn cause sectoral misallocation. Quantitative analysis shows that when reducing entry barriers to service firms to the extent observed for manufacturing firms, the model predicts a 12-percentage-point increase in the service employment share.展开更多
Using Chinese microdata from 2000 to 2013,we document how demand shocks in export markets lead multi-product exporters to adjust markups across products.We find that,in response to positive demand shocks,quality-based...Using Chinese microdata from 2000 to 2013,we document how demand shocks in export markets lead multi-product exporters to adjust markups across products.We find that,in response to positive demand shocks,quality-based competitive multi-product firms increase product markups significantly,particularly for core products,whereas cost-based competitive multi-product firms respond by reducing product markups.The reason for this is that positive foreign demand affects markups through two opposite channels:pro-innovative effects and pro-competitive ejfects.Pro-innovative effects are predominant among quality-based competitive multi-product firms,and these firms respond to positive foreign demand shocks by increasing product quality,prices,and markups.Pro-competitive ejfects are predominant among cost-based competitive multi-product firms,and these firms respond to positive foreign demand shocks by lowering product cost,prices,and markups.We demonstrate the presence of these mechanisms empirically.The results imply that firms with different competition strategies should adopt different measures in response to foreign demand shocks.展开更多
The paper calculates the number of production stages for measurement of production segmentation,and discusses and depicts the microscopic impacts and effects of production segmentation of labor division of the global ...The paper calculates the number of production stages for measurement of production segmentation,and discusses and depicts the microscopic impacts and effects of production segmentation of labor division of the global value chain on enterprise markup.The DLW method is used to calculate the markup of Chinese enterprises,the fi xed-effect model is used to analyze the impact of labor division of the global value chain on enterprise markup,and an instrumental variable method is constructed to relieve endogeneity.The research findings show that enterprises have significantly increased their markup by choosing global production segmentation,international production segmentation and domestic production segmentation.Global production segmentation can significantly increase the markup of low-productivity enterprises,hi-tech enterprises and private enterprises.Particularly,low-productivity enterprises choose international production segmentation and hi-tech enterprises choose domestic production segmentation.Production segmentation can offset to a certain extent low markup of export enterprises and domestic-oriented enterprises caused by the“competition effect”.In addition,enterprises’“technological progress effect”and“trade cost effect”are two possible channels by which production segmentation facilitates the increase of markup.The paper enriches and expands the literature about the impacts of labor division of the global value chain on enterprise markup,the robustness is analyzed from the perspectives of enterprise heterogeneity,industrial&technical heterogeneity and structure,and the impact mechanism is validated through the intermediate effect model.Our important findings are of important implications for solving the“low markup trap”of Chinese enterprises and enhancing labor division of the global value chain of enterprises.展开更多
This paper presents a bid model which can be readily implemented in a competitive bid environment within the construction industry. Competitive bid situations involve a multiplicity of criteria. In this paper, 31 crit...This paper presents a bid model which can be readily implemented in a competitive bid environment within the construction industry. Competitive bid situations involve a multiplicity of criteria. In this paper, 31 criteria, which effect optimum estimation, are considered. The model is based on CBR, the database of past completed bids, and information associated with successful bids. CBR is considered the best method because of the complexity of the construction domain and the wealth of information that the contractors possessed on past bids.展开更多
文摘The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type description to the relational semantic recording XML data relations, and using an XML data mining language, the XML data mining system presents a strategy to mine information on XML.
文摘In order to ensure the safety,quality and efficiency of computer numerical control(CNC)machine tool processing,a real-time monitoring and visible solution for CNC machine tools based on hyper text markup language(HTML)5 is proposed.The characteristics of the real-time monitoring technology of CNC machine tools under the traditional Client/Server(C/S)structure are compared and analyzed,and the technical drawbacks are proposed.Web real-time communication technology and browser drawing technology are deeply studied.A real-time monitoring and visible system for CNC machine tool data is developed based on Metro platform,combining WebSocket real-time communication technology and Canvas drawing technology.The system architecture is given,and the functions and implementation methods of the system are described in detail.The practical application results show that the WebSocket real-time communication technology can effectively reduce the bandwidth and network delay and save server resources.The numerical control machine data monitoring system can intuitively reflect the machine data,and the visible effect is good.It realizes timely monitoring of equipment alarms and prompts maintenance and management personnel.
基金Sponsorship of the National Social Science Foundation (NSSF) Youth Project (16CJL014)the China Postdoctoral Science Special Foundation (2017T100001)
文摘Based on China's industrial enterprises-customs matched data, this paper utilizes two-tier stochastic frontier analysis method to estimate and verify the extent to which selection effect and competition effect influence exporting firms' markup. Our findings suggest that the interaction between selection effect and competition effect ultimately causes actual firm markup to be higher than the baseline markup by 7.11%. Exporting firms' actual markup is higher than the baseline markup by different degrees. In terms of the decomposition of selection effect, TFP explains for 28.05% of selection effect, and nonproductivity factors explain for the rest 71.95%. By controlling for the type of firms' export,the export-productivity paradox only exists for processing trade firms, which shows that with increasing trade facilitation, the policy incentives to encourage firms to export are major contributors to the low export markups.
文摘In this paper,digital transformation is included in the heterogeneity model of firms.Based on a general equilibrium analysis,we find that under the effect of diminishing marginal productivity,digital transformation does not always have a positive impact on firms'markups,but has an"inverted U-shaped"nonlinear influence,which first promotes and then inhibits markups.Firm innovation and firm productivity are the key micro-mechanisms for the above effects to play a role.Based on the analysis of typical facts and empirical data of listed companies,the measurement test yields the following results.First,digital transformation can significantly improve firms'markups when it is below a specific threshold value,but it will have a negative impact when it exceeds this value.That is,there is an"inverted U-shaped"nonlinear relationship between digital transformation and firms'markups.Second,the heterogeneity analysis shows that digital transformation has a greater effect on the markups of state-owned firms,export firms and technology-intensive firms than on the markups of other firms.Third,digital transformation has an impact on firms'markups through two key mechanisms:firm innovation ability and production eficiency.The quantitative empirical results confirm the correctness of the theoretical expectations.Therefore,firms need to grasp the strategic opportunities brought by the progress of digital technology and accelerate the process of promoting the digital transformation.Firms should make proper choices in the selection and arrangement of key areas,as well as avoid possible problems such as"too much".In this way,we can better consolidate the micro foundation of China's high-quality economic development.
文摘With object oriented design/analysis, a general purpose corrosion data model (GPCDM) and a corrosion data markup language (CDML) are created to meet the increasing demand of multi-source corrosion data integration and sharing. "Cor- rosion data island" is proposed to model the corrosion data of comprehensiveness and self-contained. The island of tree-liked structure contains six first-level child nodes to characterize every important aspect of the corrosion data. Each first-level node holds more child nodes recursively as data containers. The design of data structure inside the island is intended to decrease the learning curve and break the acceptance barrier of GPCDM and CDML. A detailed explanation about the role and meaning of the first-level nodes are presented with examples chosen carefully in order to review the design goals and requirements proposed in the previous paper. Then, CDML tag structure and CDML application programming interface (API) are introduced in logic order. At the end, the roles of GPCDM, CDML and its API in the multi-source corrosion data integration and information sharing are highlighted and projected.
文摘Cross-country comparison reveals an unusually small service sector in China. Using firm-level data from Chinas 2008 economic census, we find two facts that speak to a novel mechanism of misallocation within service and between manufacturing and service sectors. First, compared with the manufacturing sector, there are more stateowned enterprises and fewer entrants in the service sector. Second, markups increase with firm size, and the increase is more dramatic among service firms. We interpret these facts through the lens of a monopolistic competition model with heterogeneous firms and variable markups. A multisector model shows a new channel that translates asymmetric barriers to entry across sectors into sectoral markup differences, which in turn cause sectoral misallocation. Quantitative analysis shows that when reducing entry barriers to service firms to the extent observed for manufacturing firms, the model predicts a 12-percentage-point increase in the service employment share.
基金Tenglong Zhong is grateful for the support by the Youth Project from the National Natural Science Foundation of China(No.71903003)the Program for Innovation Research in Central University of Finance and Economics+1 种基金Ming Xu is grateflil for support from the Beijing-Tianjin-Hebei Coordinated Development Think Tank Basic Research Project from the Chinese Academy of Social Sciences(No.2020P05)the Major Project of Research and Interpretation of the Spirit of the 5th Plenary Session of the 19th Central Committee of the Communist Party of China from the National Office for Philosophy and Social Sciences(No.21ZDA021).
文摘Using Chinese microdata from 2000 to 2013,we document how demand shocks in export markets lead multi-product exporters to adjust markups across products.We find that,in response to positive demand shocks,quality-based competitive multi-product firms increase product markups significantly,particularly for core products,whereas cost-based competitive multi-product firms respond by reducing product markups.The reason for this is that positive foreign demand affects markups through two opposite channels:pro-innovative effects and pro-competitive ejfects.Pro-innovative effects are predominant among quality-based competitive multi-product firms,and these firms respond to positive foreign demand shocks by increasing product quality,prices,and markups.Pro-competitive ejfects are predominant among cost-based competitive multi-product firms,and these firms respond to positive foreign demand shocks by lowering product cost,prices,and markups.We demonstrate the presence of these mechanisms empirically.The results imply that firms with different competition strategies should adopt different measures in response to foreign demand shocks.
基金supported by the Youth Program of National Social Science Fund of China under the theme of“Study on the Path for Achieving Leapfrog Development of China’s Advanced Manufacturing under the‘Bilateral Squeezing’Conditions”(20CJY024).
文摘The paper calculates the number of production stages for measurement of production segmentation,and discusses and depicts the microscopic impacts and effects of production segmentation of labor division of the global value chain on enterprise markup.The DLW method is used to calculate the markup of Chinese enterprises,the fi xed-effect model is used to analyze the impact of labor division of the global value chain on enterprise markup,and an instrumental variable method is constructed to relieve endogeneity.The research findings show that enterprises have significantly increased their markup by choosing global production segmentation,international production segmentation and domestic production segmentation.Global production segmentation can significantly increase the markup of low-productivity enterprises,hi-tech enterprises and private enterprises.Particularly,low-productivity enterprises choose international production segmentation and hi-tech enterprises choose domestic production segmentation.Production segmentation can offset to a certain extent low markup of export enterprises and domestic-oriented enterprises caused by the“competition effect”.In addition,enterprises’“technological progress effect”and“trade cost effect”are two possible channels by which production segmentation facilitates the increase of markup.The paper enriches and expands the literature about the impacts of labor division of the global value chain on enterprise markup,the robustness is analyzed from the perspectives of enterprise heterogeneity,industrial&technical heterogeneity and structure,and the impact mechanism is validated through the intermediate effect model.Our important findings are of important implications for solving the“low markup trap”of Chinese enterprises and enhancing labor division of the global value chain of enterprises.
文摘This paper presents a bid model which can be readily implemented in a competitive bid environment within the construction industry. Competitive bid situations involve a multiplicity of criteria. In this paper, 31 criteria, which effect optimum estimation, are considered. The model is based on CBR, the database of past completed bids, and information associated with successful bids. CBR is considered the best method because of the complexity of the construction domain and the wealth of information that the contractors possessed on past bids.