Based on the theory of policy tools and the application of content analysis method,this paper conducts a quantitative study on 32 samples of municipal waste classification policy texts in 6 cities in Northwest China.I...Based on the theory of policy tools and the application of content analysis method,this paper conducts a quantitative study on 32 samples of municipal waste classification policy texts in 6 cities in Northwest China.It constructs an analysis framework from the perspective of policy tools,policy contents and time series,and then measures and analyzes the policy texts according to the steps of defining analysis units,categories and coding,reliability and validity testing,etc.The results show that:(1)The urban waste classification policy in Northwest China is characterized by increasing attention year by year,a focus on government guidance and investment,and a clear division of responsibilities.These factors help to activate the motivation for policy implementation in cities across Northwest China,foster multi-departmental cooperation,and encourage active participation from various social entities in the process of implementing waste classification policies.(2)At the present stage,the design and application of policy tools are still unreasonable.On the one hand,the structure of policy tools is unbalanced,with excessive environmental policy tools leading to resource waste and insufficient demand policy tools leading to insufficient policy pulling power,which is not conducive to the long-term implementation of garbage classification management.At the same time,the internal structure of the secondary tools of the three types of policy tools is also uneven and unreasonable proportion further aggravates the waste of policy resources;On the other hand,the use of policy tools in each link of the policy content lacks focus and the concept of local policy implementation,which is difficult to meet the current practical needs and difficulties of garbage classification and treatment.According to this,the paper puts forward some policy suggestions,such as increasing the use of demand-oriented policy tools,paying attention to the reasonable matching of policy tools in various links of classification,and paying attention to the coordination of policy goal,process and result under the comprehensive dimension.展开更多
The impact of environmental regulation on technology innovation is a hot spot in current research where a large number of empirical studies are based on Porter Hypothesis(PH). However, there are still controversies in...The impact of environmental regulation on technology innovation is a hot spot in current research where a large number of empirical studies are based on Porter Hypothesis(PH). However, there are still controversies in academia about the establishment of "weak" and "narrow" versions of PH. Based on the panel data of application for patent of energy conservation and emission reduction(ECER) technology of Chinese city scale during 2008-2014, comprehensive energy price, pollutant emission, etc., mixed regression model and systematic generalized method of moments method were adopted, respectively,to study the impact of market-oriented and command-and-control policy tool on China's ECER technology innovation. The results show that the environmental regulation hindered the technological innovation in the immediate phase; however, it turned out to be positive in the first-lag phase. Hence, the establishment of "weak" PH is time-bounded. The command-and-control policy tool played a more positive role in promoting technological innovation in the first-lag phase than market-oriented policy tool. Therefore, "narrow" PH is not tenable. The reason is that the main participants of China's ECER technology innovation are state-owned companies and public institutions. Regionally speaking, the impact which command-and-control policy tool has on technological innovation at sight was nonsignificant in the eastern, the central, and the western regions of China whilst market-oriented policy tool had a negative effect. And market-oriented policy tool in the central region had strongest negative effect, which would diminish in the eastern region and become weakest in the western region. This was related to regional energy consumption level and the market economic vitality.展开更多
Purpose:The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention.This study aims to analyze the characteristics and shortcomings of China’s arti...Purpose:The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention.This study aims to analyze the characteristics and shortcomings of China’s artificial intelligence(AI)disruptive technology policy,and to put forward suggestions for optimizing China’s AI disruptive technology policy.Design/methodology/approach:Develop a three-dimensional analytical framework for“policy tools-policy actors-policy themes”and apply policy tools,social network analysis,and LDA topic model to conduct a comprehensive analysis of the utilization of policy tools,cooperative relationships among policy actors,and the trends in policy theme settings within China’s innovative AI technology policy.Findings:We find that the collaborative relationship among the policy actors of AI disruptive technology in China is insufficiently close.Marginal subjects exhibit low participation in the cooperation network and overly rely on central subjects,forming a“center-periphery”network structure.Policy tool usage is predominantly focused on supply and environmental types,with a severe inadequacy in demand-side policy tool utilization.Policy themes are diverse,encompassing topics such as“Intelligent Services”“Talent Cultivation”“Information Security”and“Technological Innovation”,which will remain focal points.Under the themes of“Intelligent Services”and“Intelligent Governance”,policy tool usage is relatively balanced,with close collaboration among policy entities.However,the theme of“AI Theoretical System”lacks a comprehensive understanding of tool usage and necessitates enhanced cooperation with other policy entities.Research limitations:The data sources and experimental scope are subject to certain limitations,potentially introducing biases and imperfections into the research results,necessitating further validation and refinement.Practical implications:The study introduces a three-dimensional analysis framework for disruptive technology policy texts,which is significant for formulating and enhancing disruptive technology policies.Originality/value:This study utilizes text mining and content analysis techniques to quantitatively analyze disruptive technology policy texts.It systematically evaluates China’s AI policies quantitatively,focusing on policy tools,policy actors,policy themes.The study uncovers the characteristics and deficiencies of current AI policies,offering recommendations for formulating and enhancing disruptive technology policies.展开更多
Work-for-relief plays a unique role in China’s journey toward modernization.From the perspectives of policy tools and interest analysis,this paper uses quantitative analysis of policy texts and integrates grounded th...Work-for-relief plays a unique role in China’s journey toward modernization.From the perspectives of policy tools and interest analysis,this paper uses quantitative analysis of policy texts and integrates grounded theory to build a policy expression analysis model to discuss the current work-for-relief policy system.The study found that China’s use of the work-for-relief policy is unbalanced,and it is necessary to enhance the involvement of non-governmental sectors,as well as to fully consider the policy’s target groups and the social issues that need addressing.展开更多
文摘Based on the theory of policy tools and the application of content analysis method,this paper conducts a quantitative study on 32 samples of municipal waste classification policy texts in 6 cities in Northwest China.It constructs an analysis framework from the perspective of policy tools,policy contents and time series,and then measures and analyzes the policy texts according to the steps of defining analysis units,categories and coding,reliability and validity testing,etc.The results show that:(1)The urban waste classification policy in Northwest China is characterized by increasing attention year by year,a focus on government guidance and investment,and a clear division of responsibilities.These factors help to activate the motivation for policy implementation in cities across Northwest China,foster multi-departmental cooperation,and encourage active participation from various social entities in the process of implementing waste classification policies.(2)At the present stage,the design and application of policy tools are still unreasonable.On the one hand,the structure of policy tools is unbalanced,with excessive environmental policy tools leading to resource waste and insufficient demand policy tools leading to insufficient policy pulling power,which is not conducive to the long-term implementation of garbage classification management.At the same time,the internal structure of the secondary tools of the three types of policy tools is also uneven and unreasonable proportion further aggravates the waste of policy resources;On the other hand,the use of policy tools in each link of the policy content lacks focus and the concept of local policy implementation,which is difficult to meet the current practical needs and difficulties of garbage classification and treatment.According to this,the paper puts forward some policy suggestions,such as increasing the use of demand-oriented policy tools,paying attention to the reasonable matching of policy tools in various links of classification,and paying attention to the coordination of policy goal,process and result under the comprehensive dimension.
文摘The impact of environmental regulation on technology innovation is a hot spot in current research where a large number of empirical studies are based on Porter Hypothesis(PH). However, there are still controversies in academia about the establishment of "weak" and "narrow" versions of PH. Based on the panel data of application for patent of energy conservation and emission reduction(ECER) technology of Chinese city scale during 2008-2014, comprehensive energy price, pollutant emission, etc., mixed regression model and systematic generalized method of moments method were adopted, respectively,to study the impact of market-oriented and command-and-control policy tool on China's ECER technology innovation. The results show that the environmental regulation hindered the technological innovation in the immediate phase; however, it turned out to be positive in the first-lag phase. Hence, the establishment of "weak" PH is time-bounded. The command-and-control policy tool played a more positive role in promoting technological innovation in the first-lag phase than market-oriented policy tool. Therefore, "narrow" PH is not tenable. The reason is that the main participants of China's ECER technology innovation are state-owned companies and public institutions. Regionally speaking, the impact which command-and-control policy tool has on technological innovation at sight was nonsignificant in the eastern, the central, and the western regions of China whilst market-oriented policy tool had a negative effect. And market-oriented policy tool in the central region had strongest negative effect, which would diminish in the eastern region and become weakest in the western region. This was related to regional energy consumption level and the market economic vitality.
基金supported by the National Social Science Foundation of China(Grant No.22BTQ089).
文摘Purpose:The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention.This study aims to analyze the characteristics and shortcomings of China’s artificial intelligence(AI)disruptive technology policy,and to put forward suggestions for optimizing China’s AI disruptive technology policy.Design/methodology/approach:Develop a three-dimensional analytical framework for“policy tools-policy actors-policy themes”and apply policy tools,social network analysis,and LDA topic model to conduct a comprehensive analysis of the utilization of policy tools,cooperative relationships among policy actors,and the trends in policy theme settings within China’s innovative AI technology policy.Findings:We find that the collaborative relationship among the policy actors of AI disruptive technology in China is insufficiently close.Marginal subjects exhibit low participation in the cooperation network and overly rely on central subjects,forming a“center-periphery”network structure.Policy tool usage is predominantly focused on supply and environmental types,with a severe inadequacy in demand-side policy tool utilization.Policy themes are diverse,encompassing topics such as“Intelligent Services”“Talent Cultivation”“Information Security”and“Technological Innovation”,which will remain focal points.Under the themes of“Intelligent Services”and“Intelligent Governance”,policy tool usage is relatively balanced,with close collaboration among policy entities.However,the theme of“AI Theoretical System”lacks a comprehensive understanding of tool usage and necessitates enhanced cooperation with other policy entities.Research limitations:The data sources and experimental scope are subject to certain limitations,potentially introducing biases and imperfections into the research results,necessitating further validation and refinement.Practical implications:The study introduces a three-dimensional analysis framework for disruptive technology policy texts,which is significant for formulating and enhancing disruptive technology policies.Originality/value:This study utilizes text mining and content analysis techniques to quantitatively analyze disruptive technology policy texts.It systematically evaluates China’s AI policies quantitatively,focusing on policy tools,policy actors,policy themes.The study uncovers the characteristics and deficiencies of current AI policies,offering recommendations for formulating and enhancing disruptive technology policies.
基金The National College Students’Innovation and Entrepreneurship Training Program“Research on the Implementation Effect and Path Innovation of Tianjin’s Work-for-Relief Policy from the Perspective of Comprehensive Rural Revitalization”(Project number:202310061004)。
文摘Work-for-relief plays a unique role in China’s journey toward modernization.From the perspectives of policy tools and interest analysis,this paper uses quantitative analysis of policy texts and integrates grounded theory to build a policy expression analysis model to discuss the current work-for-relief policy system.The study found that China’s use of the work-for-relief policy is unbalanced,and it is necessary to enhance the involvement of non-governmental sectors,as well as to fully consider the policy’s target groups and the social issues that need addressing.
