Input-Output Analysis of Chinese National Agricultural Science and Technology Park

• Published in: Artificial Intelligence and Security pp. 509 - 523
• Main Authors: Huang, Anqi, Zhang, Chao, Liu, Pingzeng, Wang, Junmei, Ren, Wanming, Zheng, Yong
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Cobb-douglas production function; Input-output analysis; Principal component analysis; Regression fitting; Stepwise regression
• ISBN: 9783030242640; 3030242641
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-24265-7_44

To explore the conducive to China’s agricultural science and technology park of input and output of the related strategy and promote agricultural supply side structural reform in China, we use cobb-douglas production function model, combined with stepwise regression and principal component regression method, the analysis of 2015–2017 China national agricultural science and technology park enterprise data. We summarized the relationship between the input and output by cobb-douglas production function. The investment of labor force and capital investment and the annual output value were positive correlation, but the elasticity coefficient of labor input three years to show the trend of increasing year by year. Elasticity coefficient of capital in three years presents a decreasing trend year by year. By stepwise regression and principal component regression method, you can see that is not the total amount of investment. The greater the output, the more technology innovation factors will become the future main factors influencing the development of the national agricultural science and technology park. Therefore, China should strengthen agricultural science and technology innovation, cultivate agricultural science and technology talents. Develop agricultural science and technology innovation projects, so as to promote China’s agricultural supply-side structural reform.