ANALYSIS OF POLICY OPTIONS BASED ON DATA-DRIVEN ECONOMIC CYCLES AND INDUSTRIAL STRUCTURE UPGRADING

Abstract

China's economy has achieved a high growth rate of 9.8% in cyclical fluctuations, and the industrial structure has been continuously improved with growth. However, the irrationality of the tertiary industry structure and its internal structure still restricts the sustainable development. The optimization of the industrial structure depends on many factors, such as government policies, economic growth mode, resource constraints, economic development stage and economic cycle stage. Based on data-driven analysis, this paper analyzes the general path and policy choice of economic cycle to adjust China's industrial structure, and the impact of economic cycle on the upgrading of industrial structure. After the actual analysis, we found that the threshold of economic growth in economically developed regions is high, the role of financial development in stimulating industrial structure is not prominent, and industrial upgrading is relatively difficult. Industrial upgrading is difficult.

Keywords: economic cycle, industrial structure upgrading, data-driven, policy choice