گری در رابطه با درجه اندازه گیری از S & T ورودی شهر و توسعه اقتصادی پایدار با توجه به داده ها از استان هونان

This paper discusses the correlation of S&T input and sustainable economic development. In order to fully reflect the relations, this paper chooses S&T input indicators (S&T expenditure and S&T personnel) and economic development indicator (gross product in different industries), using grey relational degree analytical method, to measure the correlation between two indicators. Taking 12 cities of Hunan province as the empirical analysis, this paper finds that the correlation of S&T personnel and economic development is stronger than S&T expenditure and economic development. In territory industry, S&T input is not significant in pushing sustainable economic development.

Development is the theme of this era. Researchers used to take GDP as the primary indicator to evaluate a nation or a city’s development statues. With the deepening research, as well as the situations of imbalanced resources allocation appeared in 1960s, people began to question the existing evaluation system, and put forward the theory of sustainability development theory. With the impetus of newly established S&T revolution, knowledge plays more and more important role in economic development, which pushes the accumulation of social fortune and human beings welfare [1].

As proved before, the S&T input has correlation with economic development. While the correlations for different cities and industries are different. As the capital of Hunan Province, Changsha has exhibited biggest ability in R&D input, and produced comparatively good effects. The correlations of r13 and r23 are bigger than 0.7, demonstrating R&D input has strong relation with secondary industry. It also shows that Changs has good inclination on industrialization, so as to achieve sustainable economic development. For different inputs, the correlations are different. Generally speaking, the average of r13 bigger than r23, r14 bigger than r24, showing that R&D expenditure is less efficient than R&D personnel input. The third conclusion is that for tertiary industry, the related correlations are less than that of secondary industry, which means both R&D expenditure and R&D personnel input are not significant in economic development.