Calculation of the contribution rate of China’s hydraulic science and technology based on a feedforward neural network
Autoři:
Rongrong Xu aff001; Yongxiang Wu aff001; Ming Chen aff001; Xuan Zhang aff003; Wei Wu aff001; Long Tan aff004; Gaoxu Wang aff001; Yi Xu aff001; Bing Yan aff001; Yuedong Xia aff005
Působiště autorů:
Hydrology and Water Resources Department, Nanjing Hydraulic Research Institute, Nanjing, China
aff001; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineer, Nanjing, China
aff002; Hydrology and Water Resources College, Hohai University, Nanjing, China
aff003; Sina Com Technology (China) Co. LTD, Beijing, China
aff004; Water Conservancy Bureau of Pinghu, Jiaxing, China
aff005
Vyšlo v časopise:
PLoS ONE 14(9)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0222091
Souhrn
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 to 2016 was 47.3%, and the average contribution rate of labor from 1981 to 2016 was 9.1%. It is not obvious that the significant increase in the labor force has contributed to the growth of China’s water conservancy industry. (2) The average contribution rate of scale economies in 1981–2016 was 26.7%, and the contribution rate of scale economies is negatively correlated with the capital contribution rate. (3) The average contribution rate of China’s hydraulic science and technology was 43.6% from 1981 to 2016, and the average contribution rate of the total factor productivity after removing scale economies from 1981 to 2016 was 16.9%. During the period of the 6th Five-Year Plan(1981~1985), the contribution rate of water conservancy science and technology was relatively high. Since that time, it has remained at 40%. In recent years, as water conservancy reforms in key areas have made positive progress, scientific and technological progress has increased the growth of water conservancy benefits annually.
Klíčová slova:
Social sciences – Economics – Macroeconomics – Production functions – Ecology and environmental sciences – Natural resources – Water resources – Conservation science – People and places – Geographical locations – Asia – China – Earth sciences – Hydrology – Flooding – Computer and information sciences – Feedforward neural networks – Biology and life sciences – Neuroscience – Neural networks
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Článek vyšel v časopise
PLOS One
2019 Číslo 9
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