Calculation of the contribution rate of China's hydraulic science and technology based on a feedforward neural network.

ABSTRACT: Quantitative analysis of the contribution rate of China's hydraulic science and technology and analysis of the underlying reasons behind changes provide an important foundation upon which the government can formulate water policies. This paper abandons the assumption of a scale economy and separates the changes of benefits brought about by the scale from scientific and technological progress, thus changing the C-D production function from linear to nonlinear. Based on a feedforward neural network, it calculates the coefficient of the output elasticity, the economic contribution rate of China's hydraulic science and technology and the scale economies for each year using relevant data from 1981 to 2016. The results show that (1) the average contribution rate of capital investment from 1981 t

SUBMITTER: Xu R 

PROVIDER: S-EPMC6738597 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature