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
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
This study aims to develop and evaluate the indicators of Sustainable Development Goals(hereafter SDGs)for local governments in Gyeonggi Province,South Korea from the perspective of the glocal mainstreaming of SDGs an...This study aims to develop and evaluate the indicators of Sustainable Development Goals(hereafter SDGs)for local governments in Gyeonggi Province,South Korea from the perspective of the glocal mainstreaming of SDGs and localization.Through surveys and focus group meetings,35 SDGs indicators that are to be implemented by both the Gyeonggi Provincial government and 31 separate local governments were selected and an overall index was calculated by standardizing 27 indicators.Through the comparative analysis of the fuzzy-set,this paper revealed the four ideal types along with the arrangement of two variables,the socioeconomic SDGs index(S)and the environmental SDGs index(E),which are derived from 31 local governments.In short,some examples of this arrangement are the Type 1(S*E:"sustainable local gov.")including Hanam City(fuzzy score,0.729);Type 2(S*e:imbalanced local gov.(1)")including Hwaseong City(0.862);Type 3(s*E:"imbalanced local gov.(Ⅱ)")including Gapyeong County(0.922);and Type 4(s*e:"unsustainable local gov.")including Pyeongtaek City(0.650).As a result,this paper suggests policy priority should be placed on the local governments of Type 4 where all three dimensions of sustainable development pose challenges.Furthermore,it is important for Type 2 and Type 3 to enhance policy coherence for sustainability.展开更多
This study aims to develop and evaluate the indicators of Sustainable Development Goals(hereafter SDGs)for local governments in Gyeonggi Province,South Korea from the perspective of the glocal mainstreaming of SDGs an...This study aims to develop and evaluate the indicators of Sustainable Development Goals(hereafter SDGs)for local governments in Gyeonggi Province,South Korea from the perspective of the glocal mainstreaming of SDGs and localization.Through surveys and focus group meetings,35 SDGs indicators that are to be implemented by both the Gyeonggi Provincial government and 31 separate local governments were selected and an overall index was calculated by standardizing 27 indicators.Through the comparative analysis of the fuzzy-set,this paper revealed the four ideal types along with the arrangement of two variables,the socio-economic SDGs index(S)and the environmental SDGs index(E),which are derived from 31 local governments.In short,some examples of this arrangement are the Type 1(S^(*)E:“sustainable local gov.”)including Hanam City(fuzzy score,0.729);Type 2(S^(*)e:“imbalanced local gov.(I)”)including Hwaseong City(0.862);Type 3(s^(*)E:“imbalanced local gov.(II)”)including Gapyeong County(0.922);and Type 4(s^(*)e:“unsustainable local gov.”)including Pyeongtaek City(0.650).As a result,this paper suggests policy priority should be placed on the local governments of Type 4 where all three dimensions of sustainable development pose challenges.Furthermore,it is important for Type 2 and Type 3 to enhance policy coherence for sustainability.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 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.
文摘This study aims to develop and evaluate the indicators of Sustainable Development Goals(hereafter SDGs)for local governments in Gyeonggi Province,South Korea from the perspective of the glocal mainstreaming of SDGs and localization.Through surveys and focus group meetings,35 SDGs indicators that are to be implemented by both the Gyeonggi Provincial government and 31 separate local governments were selected and an overall index was calculated by standardizing 27 indicators.Through the comparative analysis of the fuzzy-set,this paper revealed the four ideal types along with the arrangement of two variables,the socioeconomic SDGs index(S)and the environmental SDGs index(E),which are derived from 31 local governments.In short,some examples of this arrangement are the Type 1(S*E:"sustainable local gov.")including Hanam City(fuzzy score,0.729);Type 2(S*e:imbalanced local gov.(1)")including Hwaseong City(0.862);Type 3(s*E:"imbalanced local gov.(Ⅱ)")including Gapyeong County(0.922);and Type 4(s*e:"unsustainable local gov.")including Pyeongtaek City(0.650).As a result,this paper suggests policy priority should be placed on the local governments of Type 4 where all three dimensions of sustainable development pose challenges.Furthermore,it is important for Type 2 and Type 3 to enhance policy coherence for sustainability.
文摘This study aims to develop and evaluate the indicators of Sustainable Development Goals(hereafter SDGs)for local governments in Gyeonggi Province,South Korea from the perspective of the glocal mainstreaming of SDGs and localization.Through surveys and focus group meetings,35 SDGs indicators that are to be implemented by both the Gyeonggi Provincial government and 31 separate local governments were selected and an overall index was calculated by standardizing 27 indicators.Through the comparative analysis of the fuzzy-set,this paper revealed the four ideal types along with the arrangement of two variables,the socio-economic SDGs index(S)and the environmental SDGs index(E),which are derived from 31 local governments.In short,some examples of this arrangement are the Type 1(S^(*)E:“sustainable local gov.”)including Hanam City(fuzzy score,0.729);Type 2(S^(*)e:“imbalanced local gov.(I)”)including Hwaseong City(0.862);Type 3(s^(*)E:“imbalanced local gov.(II)”)including Gapyeong County(0.922);and Type 4(s^(*)e:“unsustainable local gov.”)including Pyeongtaek City(0.650).As a result,this paper suggests policy priority should be placed on the local governments of Type 4 where all three dimensions of sustainable development pose challenges.Furthermore,it is important for Type 2 and Type 3 to enhance policy coherence for sustainability.
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.
