Research on Agricultural Total Factor Productivity and its Influencing Factors in the Central Plains
DOI:
https://doi.org/10.54691/fhss.v2i5.714Keywords:
DEAP-Malmquist; Agricultural Total Factor Productivity; Central Plains; Regression Model.Abstract
In the current era of promoting rural revitalization, it is very important to improve the efficiency of agricultural production and then improve the level of agricultural modernization, which will help achieve poverty alleviation and build a beautiful countryside. Focusing on the theme of the improvement of agricultural total factor productivity in the Central Plains region, this paper uses the agricultural production efficiency theory and the nonparametric index method of DEAP-Malmquist to construct a measurement model of agricultural production efficiency in the Central Plains region. Data, the agricultural total factor production efficiency (TFP) and its decomposition values, such as: pure technical efficiency index and scale efficiency change index, carry out horizontal and vertical comparative analysis, to explore the differences in agricultural productivity in various regions and their sources of growth. Then use the panel data regression model to analyze many influencing factors of agricultural TFP, such as: economic development level, labor quality and so on. Finally, according to the empirical results, some policy references are put forward to ensure the safety of grain production in the Central Plains and improve the level of agricultural modernization.
Downloads
References
Zhang Heng, Guo Xiangyu. The development of agricultural productive services and the improvement of agricultural total factor productivity: regional differences and spatial effects [J]. Agricultural Technology and Economics, 2021, (05): 93-107.
Long Shaobo, Zhang Mengxue . Recalculation and Influencing Factors of China's Agricultural Total Factor Productivity : From Tradition to High-quality Development [J]. Research on Financial Issues, 2021 (08):40-51.
Guan Lijie, Zhao Wei . Evaluation of Rural Infrastructure Supply Efficiency Based on DEA-Malmquist [J]. Statistics and Decision Making . 2020, 36(04).
Fang Fuqian, Zhang Yanli. Changes of China's Agricultural Total Factor Productivity and Its Influencing Factors Analysis --Based on the Malmquist Index Method from 1991 to 2008 [J]. Economic Theory and Economic Management, 2010, (09): 5-12.
Zhang Yunhua . Analysis of China's Agricultural Production Efficiency [J]. Statistics and Decision, 2007, (04): 62-64.
Liu Zhanwei. The dynamic evolution of China's agricultural total factor productivity and its influencing factors [J]. China Agricultural Resources and Zoning, 2018, 39(12): 104-111.
Shi Changliang, Zhu Junfeng, Jie Changliang. Regional Differences and Convergence Analysis of Agricultural Total Factor Productivity Growth in China : Based on Fixed Effects SFA Model and Panel Unit Root Method [J]. Economic Problems Exploration, 2016, (04): 134-141.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.




