The Research on Total Factor Productivity of Soybean in China
Abstract
This paper uses the panel stochastic frontier model to study the total factor productivity of Chinese soybean. The research shows that the impact of direct cost and labor cost on yield is positive and significant, the impact of indirect cost on yield is not significant, and the impact of cash cost on yield improvement is negative.
Keywords
Full Text:
PDFReferences
Fu Xiaoxia, Wu Lixue, “development of Frontier methods of stochastic production and its application in China”, Nankai Economic Studies, 2006 (02): pp130-141.
Zhang Yongxia: Measurement and empirical research on China’s agricultural productivity, Doctoral Dissertation of the Graduate School of the Chinese Academy of Agricultural Sciences, 2006.
Zhang Le, Cao Jing: China’s agricultural total factor productivity growth: introduction of changes in allocation efficiency -- An Empirical Study Based on stochastic frontier production function method, China’s Rural Economy, 2013 (3), pp. 4-15.
Du Jiang: China’s agricultural total factor productivity growth and its temporal and spatial differentiation, Scientific Research Management, 2015. 36 (05), pp. 87-98.
Zhu Xuehong, Zeng Yi, Feng Chao: “industrial heterogeneity, regional differences and spatial layout optimization of China’s total factor productivity”, Business Research, 2016 (05), pp. 1-8.
Gong binlei: Research on the contribution of input factors and productivity to China’s agricultural growth, Agricultural Technology and Economy, 2018 (06), pp. 4-18.
Yang Qian, Wang Yu, Li Chao, Liu Xinpeng: spatial differentiation and driving factors of China’s agricultural green total factor productivity, Research on Quantitative and Technical Economy, 2019.36 (10), pp. 21-37.
DOI: http://dx.doi.org/10.26549/jfr.v5i2.8696
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.