Based on 2010 input-output table
CHEN Xiao—Fang
Chongqing Three Gorges College of Economics and Management
Economics 2010 Chongqing Wanzhou 404000
[Abstract] The real estate industry is an important part of economic construction and development in China, is one of the leading industries driving the sustained growth of the national economy, plays an important role in our national economic construction. Between the industry and the industry related degree can be measured by input-output data, and calculate the relevant evaluation indexes, which reflect the relationship between the technology industry and industry. In this paper, based on 2010 input-output table data, the use of industrial relevance theory to analyze, through the analysis of the direct consumption coefficient, complete consuming index coefficient, influence coefficient and sensitivity coefficient, to China’s real estate industry and other industries the dependency relations and the degree of correlation. Through the analysis of industry relevancy effect research, found that China’s real estate industry has the characteristics of related industry wide, extensive development and expansion of China’s real estate industry belongs to the material investment driven, its development of low quality, with the consumption of raw materials industry has a strong backward linkage effect; moreover the research industry the ripple effect, discovered our country real estate industry induction degree coefficient and the influence coefficient are lower than the average level of society, means pushing and pulling effect of the real estate industry to the national economy is limited.
[Key words] estate correlation effect input-output
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