Smart City, Demand Induction And Industrial Structure Upgrading

Modern city is a complex giant system, with the acceleration of urbanization, the emergence of environmental pollution in cities, traffic congestion, food security,public services, shortage and other issues, digital city cannot break the bottleneck of China’s urban development.Smart City to things, cloud computing and other new generation of information technology as the core, the city changed the way societies interact with the body, can make a quick response to environmental protection, public services, economic development, people’s livelihood and other needs, the emergence of smart city addressing urban development and urban management problems provide a new path,and thus in the world set off a climax building smart city.Smart City is the advanced stage of digital urban development, respect the wisdom of the city in the information itself, information sources, access to information and access to information than the digital information service methods advantages. Thus users will gradually reduce the consumption of digital information products and information into wisdom consumer products, with the increase of consumer groups, to form a "demand-side economies of scale." After this time over the threshold, the producer back to provide the necessary services in the region when the consumer population and spending power, and form a "scale producers" in the self-reinforcing mechanism of action, intelligence information products will form a fully digital information products alternative, thus promoting the development of information industry wisdom. Meanwhile wisdom information industry development through the promotion of Industrial Structure, improve labor productivity, to promote the production mode transformation, promote industrial restructuring and promote the role of factors of production flow, and ultimately to promote industrial upgrading.Dual threshold wisdom user presence information product demand, this paper chose to use double threshold model empirical analysis. The results show, R&D funding for research, human capital and the size of government and other control variables, to upgrade the industrial structure has a positive role in promoting. For the core explanatory variables, when you select a different threshold coefficients are different, but in the same regression results, the user needs can significantly promoteindustrial structure optimization. Further analysis by the empirical results of the study selected the city, depending on the threshold, divided into three echelons.Finally, on the basis of theoretical analysis and empirical analysis, combined with the wisdom of urban construction and industrial development issues, from meet user demand, lower product prices and the perspective of promoting the development of related industries, and put forward the corresponding countermeasures.