Background Ischemic stroke is characterized by high incidence, high disability rate, and high recurrence rate. Stroke recurrence is a complex pathological phenomenon involving multiple factors. Logistic regression ana...Background Ischemic stroke is characterized by high incidence, high disability rate, and high recurrence rate. Stroke recurrence is a complex pathological phenomenon involving multiple factors. Logistic regression analysis is widely used in traditional medical statistical analysis. However, this method mainly investigates the net effect of single factors using large sample sizes. The fsQCA method is a more suitable means of analyzing the configuration effect of risk factors affecting cerebral infarction recurrence, because it is based on holism and considers interaction effects among the risk factors.ObjectiveThe purpose of this study was to explore the risk factors of cerebral infarction recurrence using fsQCA, to reveal the configurations that resulted in cerebral infarction recurrence, and to provide novel ideas for the prevention of recurrence.Methods A total of 155 cerebral infarction patients admitted to the Department of Neurology of a tertiary class hospital in Shandong province from June 2020 to June 2021 were selected to participate. The demographic characteristics and risk factors associated with recurrence of cerebral infarction were collected, and participants were followed for one year.ResultsThe comparative analysis was performed by fuzzy-set (fsQCA 3.0) software. We conducted a configuration analysis of the risk factors of cerebral infarction recurrence and generated eight different configurations by analyzing various combinations of eight risk factors.ConclusionThis study presented results different from those reported in studies using linear regression models. It took into consideration the configurational effect of each conditional variable on cerebral infarction recurrence. To prevent such recurrences, medical workers should evaluate the combination of multiple influencing factors, instead of focusing on a single factor.展开更多
As a global issue,farmland abandonment is considered to be one of the most crucial fields in the study of land use change.The clarification of its driving factors plays a vital role in improving the efficiency of rura...As a global issue,farmland abandonment is considered to be one of the most crucial fields in the study of land use change.The clarification of its driving factors plays a vital role in improving the efficiency of rural cultivated land use and ensuring national food security.This paper aims to study the factors influencing farmland abandonment in 49 villages of Ganzhou City by adopting the Qualitative Comparative Analysis(QCA).The results show that:(1)Farmland abandonment is the outcome of synergism among many factors,among which the low–level of agricultural mechanization is definitely a necessary condition in Ganzhou,and it contributes a material effect to the abandonment.(2)The path leading to farmland abandonment is not unique to the study area,and can be attributed to five different combinations.These combinations can be enumerated as:A1(a combination of convenient transportation,complete agricultural facilities,low-level agricultural mechanization,low-level land circulation,and no industrial policy support),A2(a combination of complete agricultural facilities,low-level agricultural mechanization,low-level land circulation,sufficient agricultural labor,and no industrial policy support),A3(a combination of convenient transportation,complete agricultural facilities,low-level agricultural mechanization,sufficient agricultural labor,and no industrial policy support),A4(a combination of convenient transportation,low-level agricultural mechanization,low-level land circulation,sufficient agricultural labor,and industrial policy support),and A5(a combination of inconvenient transportation,complete agricultural facilities,low-level agricultural mechanization,high-level land circulation,sufficient agricultural labor,and industrial policy support).(3)In the above-mentioned combinations,the core conditions and peripheral conditions conjointly impact on farmland abandonment.Finally,corresponding policy implications are proposed in order to further reveal the mechanism of farmland abandonment.These recommendations provide new ideas and methods for policy makers to use in making decisions and will promote the effective use of farmland.展开更多
To better clarify the impact of the integration of education,science and technology,and talent on the cultivation of top-notch innovative talents in universities,this study adopts the fuzzy-set Qualitative Comparative...To better clarify the impact of the integration of education,science and technology,and talent on the cultivation of top-notch innovative talents in universities,this study adopts the fuzzy-set Qualitative Comparative Analysis(fsQCA)method.Using 23 universities in China as the research sample,the findings reveal that:(1)none of the three individual factors,education,science and technology,or talent can independently constitute either a necessary or sufficient condition for high-quality cultivation of top-notch innovative talents;(2)the sufficient condition for achieving high-quality cultivation lies in specific configurations of multiple condition variables;(3)five configurations were identified,from which three distinct paths toward achieving high-quality cultivation were derived.Accordingly,different universities can,based on their own resource endowments and local contexts,select appropriate cultivation paths to effectively enhance the quality of top-notch innovative talent training.展开更多
Purpose:This paper examines factors of payment decision as well as the role each factor plays in casual configurations leading to high payment intention under systematic and heuristic information processing routes.Des...Purpose:This paper examines factors of payment decision as well as the role each factor plays in casual configurations leading to high payment intention under systematic and heuristic information processing routes.Design/methodology/approach:Based on heuristic-systematic model(HSM),we propose a configurational analytic framework to investigate complex casual relationships between influencing factors and payment decision.In line with this approach,we use fuzzy-set qualitative comparative analysis(fsQCA)to analyze data crawled from Zhihu.com.Findings:The number of previous consultations is a necessary element in all five equivalent configurations which lead to high intention in payment decision.The heuristic processing route plays a core role while the systematic processing route plays a peripheral role in payment decision-making process.Research limitations:Research is limited in that moderating effect of professional fields has not been considered in the framework.Practical implications:Configurations in results can assist managers of knowledge communities and paid Q&A service providers in the management of information elements to motivate more payment decision.Originality/value:This paper is one of the few studies to apply HSM theory and fsQCA method with respect to the payment decision in paid Q&A.展开更多
County-level libraries have an inescapable responsibility for cultivating local cultural identity and realizing rural revitalization.Therefore,we analyzed factors that afect the service fficiency of gass-1oots librari...County-level libraries have an inescapable responsibility for cultivating local cultural identity and realizing rural revitalization.Therefore,we analyzed factors that afect the service fficiency of gass-1oots libraries in Henan Province through a field investigation and qualitative comparative analysis(QCA),and proposed a higlh-efficiency configuration.In addition,we put forward the strategy of improving the quality and efficiency of our country's county-level libraries in the electonic information age.展开更多
Green transformation is an unavoidable choice for resource-based cities(RBCs)that face resource depletion and environmental pollution.Existing research has focused primarily on specific RBCs,making it challenging to a...Green transformation is an unavoidable choice for resource-based cities(RBCs)that face resource depletion and environmental pollution.Existing research has focused primarily on specific RBCs,making it challenging to apply green transformation strategies universally across cities.The fuzzy set qualitative comparative analysis(fsQCA)is a combination of qualitative and quantitative analyses that can handle multiple concurrent causality problems and determine how different conditions combine into configurations and generate an outcome.Thus,to address this gap,in this study,we established a research framework for green transformation and utilized the fsQCA to examine the configurations of 113 RBCs in China.By incorporating the element of time,this study explored the dynamic evolution of solutions in 2013,2016,and 2019.The main findings indicate that individual elements do not constitute the necessary conditions for improving the green transformation efficiency(GTE),and the systematic combination of multiple conditions is an effective path for realizing the improvement of the GTE in RBCs.Green transformation paths of RBCs exhibit the same destination through different paths.Additionally,the combination of system environment elements and system structure elements is both complementary and alternative.Differences in RBCs have led to various factor combinations and development paths,but there are some similarities in the key elements of the factor combinations at different stages.Economic environment,government support,and technological innovation are key factors that universally enhance the GTE in RBCs.These insights can assist city managers in formulating policies to drive green transformation and contribute to a better theoretical understanding of green transformation paths in RBCs.展开更多
This study explores the development trajectory of digital financial inclusion in 21 cities in Guangdong Province through fuzzy-set qualitative comparative analysis(fsQCA).The findings emphasize that the success of dig...This study explores the development trajectory of digital financial inclusion in 21 cities in Guangdong Province through fuzzy-set qualitative comparative analysis(fsQCA).The findings emphasize that the success of digital financial inclusion goes beyond individual dimensions,forming a systematic initiative marked by multifaceted interaction among different disciplines.In the trajectory of high-level digital inclusive finance development,the study identifies economic prosperity and technological innovation as crucial elements,highlighting their centrality,and elucidates the synergistic collaboration between market mechanisms and government guidance.Furthermore,the study emphasizes the government’s pivotal role in supporting market mechanisms and guiding policies,highlighting the need to achieve a nuanced equilibrium in the digital financial inclusion strategy.In contrast,non-high-level development paths of digital inclusive finance show a spectrum of diversities,emphasizing the critical roles played by economic fundamentals,government regulation,market mechanisms,and other contextual factors in different trajectories.Regarding policy implications,the study emphasizes the comprehensive and systemic nature inherent in the development of digital inclusive finance.It proposes four policy recommendations,including integrating development strategies,emphasizing scientific and technological innovation and economic development,achieving a delicate balance between market mechanisms and government guidance,and providing precise policy support.These insights provide valuable lessons for shaping digital inclusive financial policies in Guangdong Province and beyond,offering profound insights for strategically constructing robust digital financial ecosystems.展开更多
The rapid growth of the education industry and private education groups has brought the high-quality development of listed private education companies into focus for both the educational sector and the capital market....The rapid growth of the education industry and private education groups has brought the high-quality development of listed private education companies into focus for both the educational sector and the capital market.This study employs the fuzzy-set qualitative comparative analysis(fsQCA)method to explore pathways to high-quality development for these companies.Necessity analysis confirms that no single factor guarantees a company’s success,highlighting the importance of multi-factor interactions.Three main paths to high-quality development are identified:human resource optimization,precise market positioning,and comprehensive advantage.Conversely,four development paths for non-high-level companies are identified:dual insufficiency in resources and market,high turnover and over-investment,scale expansion with resource mismatch,and inadequate human resource development.The findings indicate that optimal allocation of educational resources,precise market positioning,rational resource allocation,and staff training are crucial for achieving high-quality development.Robustness tests,which raise the consistency threshold,verify the reliability and stability of the results.These findings provide a reference for policymakers,investors,and managers in the education industry.展开更多
Urban underground space disasters exhibit characteristics including complex causal mechanisms and high risk.They also present unpredictability and risk coupling amplification.Differences in underground space safety re...Urban underground space disasters exhibit characteristics including complex causal mechanisms and high risk.They also present unpredictability and risk coupling amplification.Differences in underground space safety resilience(USSR)and key pathways of urban agglomerations are issues that remain under-discussed.This study is based on the perspective of resilience genesis,and it constructs a Pressure-State-Response(PSR)analysis framework.This study employs methods such as the composite index method,Dagum Gini coefficient,and fuzzy set Qualitative Comparative Analysis(fsQCA)to explore the differences in safety resilience levels and key pathways of underground spaces of urban agglomerations.The study offered several findings:(1)The safety resilience index rankings of the five major urban agglomerations,from highest to lowest,are as follows:Chengdu-Chongqing City Group,Pearl River Delta urban agglomeration,Beijing-Tianjin-Hebei urban agglomeration,Triangle of Central China and Yangtze River Delta urban agglomeration.In addition,the underground space safety resilience systems of cities were clustered and categorized into demonstration and leadership type,striving catch-up type,and stable development type.(2)Overall differences between urban agglomerations are reflected in the differences between individual urban agglomerations.The internal development imbalance is the primary reason for the more significant differences in and between the Pearl River Delta and Yangtze River Delta urban agglomerations.(3)High-level safety resilience of urban underground space is the result of a multi-factor combination in the PSR framework.In addition,there are four high-level safety resilience configuration paths,and these paths are categorized into three modes:"state-driven response","pressure-triggered response",and"autonomous response".Policy implications and countermeasures for urban underground space development are proposed for each mode of urban underground space safety resilience.These proposals offer theoretical references for optimizing the safety resilience of underground spaces of urban agglomerations.展开更多
As rural B&Bs gain popularity amid growing demand for personalized tourism experiences,understanding the multifaceted drivers of customer decision-making is becoming critical.Existing research often examines indiv...As rural B&Bs gain popularity amid growing demand for personalized tourism experiences,understanding the multifaceted drivers of customer decision-making is becoming critical.Existing research often examines individual factors,leaving a gap in comprehending complex causal pathways.This study used online travelogue data,fuzzy-set qualitative comparative analysis(fsQCA)and necessary condition analysis(NCA)to examine the factors and combination pathways influencing customer behavioral intentions in rural B&Bs.The results indicate that customer behavioral intentions in rural B&Bs are influenced by multiple factors including the natural environment,material space,cultural space,quality of service,experience of home,entertainment education,culinary delights,surrounding environment,and value-added services.In addition,four main types of customer behavioral intentions in rural B&Bs were identified:Environmental immersion,Educative entertainment,Service experience,and Comprehensive perception.This study contributes to our understanding of customer behavioral intentions in rural tourism settings both practically,by offering actionable strategies for B&B operators,and theoretically,by enhancing the existing framework for studying them.展开更多
We explore how China's geographically targeted policies impact RMB overseas use individually or in combination.The policies include swap agreements,clearing banks,investment quotas,and direct trading between Chine...We explore how China's geographically targeted policies impact RMB overseas use individually or in combination.The policies include swap agreements,clearing banks,investment quotas,and direct trading between Chinese renminbi(RMB)and non-USD currencies.Adopting a fuzzy-set qualitative comparative analysis and using Bank of International Settlements cross-country data on foreign exchange markets,we find that institution building has lowered the barriers to international adoption of the RMB.Specifically,for countries economically close to China,high RMB trading is explained by either(i)having a clearing bank in the host market and direct quotations between the RMB and the local currency,or(ii)being a financial center and having access to the Chinese capital market.This combination of policies is explained by the creation of(i)"trading posts"that provide RMB liquidity abroad,and(ii)channels that allow actors to " recycle" offshore RMB funds.We triangulate our results with interviews conducted with senior People’s Bank of China officials.展开更多
Based on dynamic capability theory and legitimacy theory,a theoretical model is constructed to examine how big data capability,through the mediation of knowledge dynamic capability,drive business model innovation unde...Based on dynamic capability theory and legitimacy theory,a theoretical model is constructed to examine how big data capability,through the mediation of knowledge dynamic capability,drive business model innovation under the moderation effect of innovation legitimacy.The eanalys is isconducted using regression analysis and fuzzy set qualitative comparative analysis(fsQCA)on survey data from 302 enterprises that have already implemented big data application practices.The study finds the following four conclusions.(1)Big data capability has a significant positive impact on business model innovation.(2)Dynamic knowledge capability partially mediates the relationship between big data capability and business model innovation.(3)Innovation legitimacy positively influences business model innovation and positively moderates the relationship between big data capability and businessmodel innovation.(4)Through further qualitative comparative analysis,two causal paths that influence business model innovation are identified.展开更多
基金supported by the Natural Science Foundation of Shandong Province(grant no.ZR202102240754)the Shandong Medicine and Health Science and Technology Development Plan Project(grant no.202003070101)the Doctoral Research Fund of Affiliated Hospital of WeiFang Medical University(grant no.2022BSQD11).
文摘Background Ischemic stroke is characterized by high incidence, high disability rate, and high recurrence rate. Stroke recurrence is a complex pathological phenomenon involving multiple factors. Logistic regression analysis is widely used in traditional medical statistical analysis. However, this method mainly investigates the net effect of single factors using large sample sizes. The fsQCA method is a more suitable means of analyzing the configuration effect of risk factors affecting cerebral infarction recurrence, because it is based on holism and considers interaction effects among the risk factors.ObjectiveThe purpose of this study was to explore the risk factors of cerebral infarction recurrence using fsQCA, to reveal the configurations that resulted in cerebral infarction recurrence, and to provide novel ideas for the prevention of recurrence.Methods A total of 155 cerebral infarction patients admitted to the Department of Neurology of a tertiary class hospital in Shandong province from June 2020 to June 2021 were selected to participate. The demographic characteristics and risk factors associated with recurrence of cerebral infarction were collected, and participants were followed for one year.ResultsThe comparative analysis was performed by fuzzy-set (fsQCA 3.0) software. We conducted a configuration analysis of the risk factors of cerebral infarction recurrence and generated eight different configurations by analyzing various combinations of eight risk factors.ConclusionThis study presented results different from those reported in studies using linear regression models. It took into consideration the configurational effect of each conditional variable on cerebral infarction recurrence. To prevent such recurrences, medical workers should evaluate the combination of multiple influencing factors, instead of focusing on a single factor.
基金The National Natural Science Foundation of China(41971243,41930757)The Key Project of Natural Science Foundation of Jiangxi Province(20202ACB203004)+3 种基金The Humanities and Social Science Research Project in Jiangxi Province(GL19111)The Academic and Technical Leaders Funding Program for Major Disciplines in Jiangxi Province(20172BCB22011)The Fok Ying-Tung Fund(141084)The National Social Science Fund of China(20BJY144)。
文摘As a global issue,farmland abandonment is considered to be one of the most crucial fields in the study of land use change.The clarification of its driving factors plays a vital role in improving the efficiency of rural cultivated land use and ensuring national food security.This paper aims to study the factors influencing farmland abandonment in 49 villages of Ganzhou City by adopting the Qualitative Comparative Analysis(QCA).The results show that:(1)Farmland abandonment is the outcome of synergism among many factors,among which the low–level of agricultural mechanization is definitely a necessary condition in Ganzhou,and it contributes a material effect to the abandonment.(2)The path leading to farmland abandonment is not unique to the study area,and can be attributed to five different combinations.These combinations can be enumerated as:A1(a combination of convenient transportation,complete agricultural facilities,low-level agricultural mechanization,low-level land circulation,and no industrial policy support),A2(a combination of complete agricultural facilities,low-level agricultural mechanization,low-level land circulation,sufficient agricultural labor,and no industrial policy support),A3(a combination of convenient transportation,complete agricultural facilities,low-level agricultural mechanization,sufficient agricultural labor,and no industrial policy support),A4(a combination of convenient transportation,low-level agricultural mechanization,low-level land circulation,sufficient agricultural labor,and industrial policy support),and A5(a combination of inconvenient transportation,complete agricultural facilities,low-level agricultural mechanization,high-level land circulation,sufficient agricultural labor,and industrial policy support).(3)In the above-mentioned combinations,the core conditions and peripheral conditions conjointly impact on farmland abandonment.Finally,corresponding policy implications are proposed in order to further reveal the mechanism of farmland abandonment.These recommendations provide new ideas and methods for policy makers to use in making decisions and will promote the effective use of farmland.
基金2022 Philosophy and Social Sciences Research Project for Higher Education Institutions“Research on Synergistic Education Pathways Integrating Labor Education and Innovation-Entrepreneurship Education in Universities during the New Era”(Project No.:2022SJSZ1174)2024 Jiangsu University Higher Education Planning and Development Research Project“Research on the Cultivation Model of Top-notch Innovative Talents in Local High-Level Universities from the Perspective of Education-Science-Technology-Talent Integration”(Project No.:G202406)。
文摘To better clarify the impact of the integration of education,science and technology,and talent on the cultivation of top-notch innovative talents in universities,this study adopts the fuzzy-set Qualitative Comparative Analysis(fsQCA)method.Using 23 universities in China as the research sample,the findings reveal that:(1)none of the three individual factors,education,science and technology,or talent can independently constitute either a necessary or sufficient condition for high-quality cultivation of top-notch innovative talents;(2)the sufficient condition for achieving high-quality cultivation lies in specific configurations of multiple condition variables;(3)five configurations were identified,from which three distinct paths toward achieving high-quality cultivation were derived.Accordingly,different universities can,based on their own resource endowments and local contexts,select appropriate cultivation paths to effectively enhance the quality of top-notch innovative talent training.
基金National Natural Science Foundation of China(Grant No.71271087)。
文摘Purpose:This paper examines factors of payment decision as well as the role each factor plays in casual configurations leading to high payment intention under systematic and heuristic information processing routes.Design/methodology/approach:Based on heuristic-systematic model(HSM),we propose a configurational analytic framework to investigate complex casual relationships between influencing factors and payment decision.In line with this approach,we use fuzzy-set qualitative comparative analysis(fsQCA)to analyze data crawled from Zhihu.com.Findings:The number of previous consultations is a necessary element in all five equivalent configurations which lead to high intention in payment decision.The heuristic processing route plays a core role while the systematic processing route plays a peripheral role in payment decision-making process.Research limitations:Research is limited in that moderating effect of professional fields has not been considered in the framework.Practical implications:Configurations in results can assist managers of knowledge communities and paid Q&A service providers in the management of information elements to motivate more payment decision.Originality/value:This paper is one of the few studies to apply HSM theory and fsQCA method with respect to the payment decision in paid Q&A.
文摘County-level libraries have an inescapable responsibility for cultivating local cultural identity and realizing rural revitalization.Therefore,we analyzed factors that afect the service fficiency of gass-1oots libraries in Henan Province through a field investigation and qualitative comparative analysis(QCA),and proposed a higlh-efficiency configuration.In addition,we put forward the strategy of improving the quality and efficiency of our country's county-level libraries in the electonic information age.
基金supported by the Chongqing Social Science Planning Fund,China(2023BS034)the Science and Technology Project of Chongqing Jiaotong University,China(F1230069).
文摘Green transformation is an unavoidable choice for resource-based cities(RBCs)that face resource depletion and environmental pollution.Existing research has focused primarily on specific RBCs,making it challenging to apply green transformation strategies universally across cities.The fuzzy set qualitative comparative analysis(fsQCA)is a combination of qualitative and quantitative analyses that can handle multiple concurrent causality problems and determine how different conditions combine into configurations and generate an outcome.Thus,to address this gap,in this study,we established a research framework for green transformation and utilized the fsQCA to examine the configurations of 113 RBCs in China.By incorporating the element of time,this study explored the dynamic evolution of solutions in 2013,2016,and 2019.The main findings indicate that individual elements do not constitute the necessary conditions for improving the green transformation efficiency(GTE),and the systematic combination of multiple conditions is an effective path for realizing the improvement of the GTE in RBCs.Green transformation paths of RBCs exhibit the same destination through different paths.Additionally,the combination of system environment elements and system structure elements is both complementary and alternative.Differences in RBCs have led to various factor combinations and development paths,but there are some similarities in the key elements of the factor combinations at different stages.Economic environment,government support,and technological innovation are key factors that universally enhance the GTE in RBCs.These insights can assist city managers in formulating policies to drive green transformation and contribute to a better theoretical understanding of green transformation paths in RBCs.
基金2023 Guangdong Provincial Education Science Planning Project(Higher Education Special Project)“Empirical Study on the Spatial Optimization of the Relationship between Human Capital and Industrial Structure in Guangdong Province under the Support of Higher Education Services”(No.2023GXJK144)。
文摘This study explores the development trajectory of digital financial inclusion in 21 cities in Guangdong Province through fuzzy-set qualitative comparative analysis(fsQCA).The findings emphasize that the success of digital financial inclusion goes beyond individual dimensions,forming a systematic initiative marked by multifaceted interaction among different disciplines.In the trajectory of high-level digital inclusive finance development,the study identifies economic prosperity and technological innovation as crucial elements,highlighting their centrality,and elucidates the synergistic collaboration between market mechanisms and government guidance.Furthermore,the study emphasizes the government’s pivotal role in supporting market mechanisms and guiding policies,highlighting the need to achieve a nuanced equilibrium in the digital financial inclusion strategy.In contrast,non-high-level development paths of digital inclusive finance show a spectrum of diversities,emphasizing the critical roles played by economic fundamentals,government regulation,market mechanisms,and other contextual factors in different trajectories.Regarding policy implications,the study emphasizes the comprehensive and systemic nature inherent in the development of digital inclusive finance.It proposes four policy recommendations,including integrating development strategies,emphasizing scientific and technological innovation and economic development,achieving a delicate balance between market mechanisms and government guidance,and providing precise policy support.These insights provide valuable lessons for shaping digital inclusive financial policies in Guangdong Province and beyond,offering profound insights for strategically constructing robust digital financial ecosystems.
基金2024 Guangdong Provincial Private Colleges and Universities Research Project“Research on the Path of High-Quality Development of Listed Companies in Private Education Groups:An Analysis of Complex Factor Groups”(GMG2024023)。
文摘The rapid growth of the education industry and private education groups has brought the high-quality development of listed private education companies into focus for both the educational sector and the capital market.This study employs the fuzzy-set qualitative comparative analysis(fsQCA)method to explore pathways to high-quality development for these companies.Necessity analysis confirms that no single factor guarantees a company’s success,highlighting the importance of multi-factor interactions.Three main paths to high-quality development are identified:human resource optimization,precise market positioning,and comprehensive advantage.Conversely,four development paths for non-high-level companies are identified:dual insufficiency in resources and market,high turnover and over-investment,scale expansion with resource mismatch,and inadequate human resource development.The findings indicate that optimal allocation of educational resources,precise market positioning,rational resource allocation,and staff training are crucial for achieving high-quality development.Robustness tests,which raise the consistency threshold,verify the reliability and stability of the results.These findings provide a reference for policymakers,investors,and managers in the education industry.
基金funded by a grant from the China University of Mining and Technology Graduate Student Innovation Programme Project(2024WLKXJ131).
文摘Urban underground space disasters exhibit characteristics including complex causal mechanisms and high risk.They also present unpredictability and risk coupling amplification.Differences in underground space safety resilience(USSR)and key pathways of urban agglomerations are issues that remain under-discussed.This study is based on the perspective of resilience genesis,and it constructs a Pressure-State-Response(PSR)analysis framework.This study employs methods such as the composite index method,Dagum Gini coefficient,and fuzzy set Qualitative Comparative Analysis(fsQCA)to explore the differences in safety resilience levels and key pathways of underground spaces of urban agglomerations.The study offered several findings:(1)The safety resilience index rankings of the five major urban agglomerations,from highest to lowest,are as follows:Chengdu-Chongqing City Group,Pearl River Delta urban agglomeration,Beijing-Tianjin-Hebei urban agglomeration,Triangle of Central China and Yangtze River Delta urban agglomeration.In addition,the underground space safety resilience systems of cities were clustered and categorized into demonstration and leadership type,striving catch-up type,and stable development type.(2)Overall differences between urban agglomerations are reflected in the differences between individual urban agglomerations.The internal development imbalance is the primary reason for the more significant differences in and between the Pearl River Delta and Yangtze River Delta urban agglomerations.(3)High-level safety resilience of urban underground space is the result of a multi-factor combination in the PSR framework.In addition,there are four high-level safety resilience configuration paths,and these paths are categorized into three modes:"state-driven response","pressure-triggered response",and"autonomous response".Policy implications and countermeasures for urban underground space development are proposed for each mode of urban underground space safety resilience.These proposals offer theoretical references for optimizing the safety resilience of underground spaces of urban agglomerations.
基金The Major Project of the National Social Science Fund of Art of China(21ZD07)。
文摘As rural B&Bs gain popularity amid growing demand for personalized tourism experiences,understanding the multifaceted drivers of customer decision-making is becoming critical.Existing research often examines individual factors,leaving a gap in comprehending complex causal pathways.This study used online travelogue data,fuzzy-set qualitative comparative analysis(fsQCA)and necessary condition analysis(NCA)to examine the factors and combination pathways influencing customer behavioral intentions in rural B&Bs.The results indicate that customer behavioral intentions in rural B&Bs are influenced by multiple factors including the natural environment,material space,cultural space,quality of service,experience of home,entertainment education,culinary delights,surrounding environment,and value-added services.In addition,four main types of customer behavioral intentions in rural B&Bs were identified:Environmental immersion,Educative entertainment,Service experience,and Comprehensive perception.This study contributes to our understanding of customer behavioral intentions in rural tourism settings both practically,by offering actionable strategies for B&B operators,and theoretically,by enhancing the existing framework for studying them.
文摘We explore how China's geographically targeted policies impact RMB overseas use individually or in combination.The policies include swap agreements,clearing banks,investment quotas,and direct trading between Chinese renminbi(RMB)and non-USD currencies.Adopting a fuzzy-set qualitative comparative analysis and using Bank of International Settlements cross-country data on foreign exchange markets,we find that institution building has lowered the barriers to international adoption of the RMB.Specifically,for countries economically close to China,high RMB trading is explained by either(i)having a clearing bank in the host market and direct quotations between the RMB and the local currency,or(ii)being a financial center and having access to the Chinese capital market.This combination of policies is explained by the creation of(i)"trading posts"that provide RMB liquidity abroad,and(ii)channels that allow actors to " recycle" offshore RMB funds.We triangulate our results with interviews conducted with senior People’s Bank of China officials.
基金general project(No.71672080,72072086)of the National Natural ScienceFoundation of China.
文摘Based on dynamic capability theory and legitimacy theory,a theoretical model is constructed to examine how big data capability,through the mediation of knowledge dynamic capability,drive business model innovation under the moderation effect of innovation legitimacy.The eanalys is isconducted using regression analysis and fuzzy set qualitative comparative analysis(fsQCA)on survey data from 302 enterprises that have already implemented big data application practices.The study finds the following four conclusions.(1)Big data capability has a significant positive impact on business model innovation.(2)Dynamic knowledge capability partially mediates the relationship between big data capability and business model innovation.(3)Innovation legitimacy positively influences business model innovation and positively moderates the relationship between big data capability and businessmodel innovation.(4)Through further qualitative comparative analysis,two causal paths that influence business model innovation are identified.
