This paper attempts to study the interactive relationship among financial development,industrial structure adjustment and urbanization in China.Based on the data from 1978 to 2018,this paper establishes a VAR model fo...This paper attempts to study the interactive relationship among financial development,industrial structure adjustment and urbanization in China.Based on the data from 1978 to 2018,this paper establishes a VAR model for empirical analysis.The results show that after the impulse response analysis and variance decomposition of the model,industrial structure adjustment and urbanization have a positive impact on financial development in the long run.Financial development and industrial structure adjustment do not play a positive role in the process of urbanization,and there is still room for further development.It is suggested that the state should strengthen the financial support for urbanization so that the two can develop in coordination.At the same time,we should adhere to the simultaneous development of industrial structure adjustment and urbanization to ensure the simultaneous development of financial scale and efficiency.展开更多
This paper addresses new trends in quantitative geography research. Modern social science research--including economic and social geography--has in the past decades shown an increasing interest in micro-oriented behav...This paper addresses new trends in quantitative geography research. Modern social science research--including economic and social geography--has in the past decades shown an increasing interest in micro-oriented behaviour of actors. This is inter alia clearly reflected in SIMs （spatial interaction models）, where discrete choice approaches have assumed a powerful position. This paper aims to provide in particular a concise review of micro-based research, with the aim to review the potential--but also the caveats---of micro models to map out human behaviour. In particular, attention will be devoted to interactive learning principles that shape individual decisions. Lessons from cognitive sciences will be put forward and illustrated, amongst others on the basis of computational neural networks or spatial econometric approaches. Particular attention will be paid to non-linear dynamic spatial models, amongst others, in the context of chaos theory and complexity science. The methodology of deductive reasoning under conditions of large data bases in studying human mobility will be questioned as well. In this context more extensive attention is given to ceteris paribus conditions and evolutionary thinking. The relevance of the paper will be illustrated by referring to various spatial applications in different disciplines and different application areas, e.g. in geography, regional science or urban economics.展开更多
基金National Natural Science Foundation of China(71934001)Provincial Teaching and Research Project(2018jyxm1305).
文摘This paper attempts to study the interactive relationship among financial development,industrial structure adjustment and urbanization in China.Based on the data from 1978 to 2018,this paper establishes a VAR model for empirical analysis.The results show that after the impulse response analysis and variance decomposition of the model,industrial structure adjustment and urbanization have a positive impact on financial development in the long run.Financial development and industrial structure adjustment do not play a positive role in the process of urbanization,and there is still room for further development.It is suggested that the state should strengthen the financial support for urbanization so that the two can develop in coordination.At the same time,we should adhere to the simultaneous development of industrial structure adjustment and urbanization to ensure the simultaneous development of financial scale and efficiency.
文摘This paper addresses new trends in quantitative geography research. Modern social science research--including economic and social geography--has in the past decades shown an increasing interest in micro-oriented behaviour of actors. This is inter alia clearly reflected in SIMs （spatial interaction models）, where discrete choice approaches have assumed a powerful position. This paper aims to provide in particular a concise review of micro-based research, with the aim to review the potential--but also the caveats---of micro models to map out human behaviour. In particular, attention will be devoted to interactive learning principles that shape individual decisions. Lessons from cognitive sciences will be put forward and illustrated, amongst others on the basis of computational neural networks or spatial econometric approaches. Particular attention will be paid to non-linear dynamic spatial models, amongst others, in the context of chaos theory and complexity science. The methodology of deductive reasoning under conditions of large data bases in studying human mobility will be questioned as well. In this context more extensive attention is given to ceteris paribus conditions and evolutionary thinking. The relevance of the paper will be illustrated by referring to various spatial applications in different disciplines and different application areas, e.g. in geography, regional science or urban economics.
