偏向性技术进步视角下水稻全要素生产率增长研究
作者:
作者单位:

1.中南民族大学经济学院&湖北全面小康研究院;2.中南民族大学经济学院&3.amp;4.湖北全面小康研究院;5.湖北工业大学 经济与管理学院 & 湖北循环经济发展研究中心;6.云南农业大学 经济管理学院

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基金项目:

国家自然科学基金项目(72003201,72263035);云南省科技基础研究项目(202301AT070496);中南民族大学2024年校级研究生教育教学研究项目(YJS24007)。


Research on rice total factor productivity growth from the perspective of biased technological progress
Author:
Affiliation:

1.School of Economics & Hubei Moderately Prosperous Society in All Respects Research Institute, South-Central Minzu University;2.School of Economics&Hubei Moderately Prosperous Society in All Respects Research Institute,South- Central Minzu University;3.School of Economics&4.amp;5.Hubei Moderately Prosperous Society in All Respects Research Institute,South- Central Minzu University;6.School of Economics and Management & Hubei Circular Economy Development Research Center, Hubei University of Technology;7.College of Economics and Management, Yunnan Agricultural University

Fund Project:

Supported by National Natural Science Foundation of China (72003201, 72263035); Yunnan Fundamental Research Projects (202301AT070496); The 2024 University-level Postgraduate Education and Teaching Research Project of South-Central Minzu University (YJS24007).

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    摘要:

    提升水稻全要素生产率(TFP)对破解我国农业高质量发展难题、保障粮食安全意义重大。基于偏向性技术进步视角,构建资本、劳动和土地的三要素增强型CES生产函数,分析了2004—2022年中国水稻生产的要素偏向性特征及其对水稻TFP增长率的驱动机制,并运用核密度估计方法刻画了水稻TFP增长的动态演进规律。结果表明:1)中国水稻生产技术进步呈现资本偏向、劳动偏向和土地节约的特征;2)要素增强型技术进步是水稻TFP增长的主要驱动力,偏向性技术进步与要素深化水平的协同效应促进了水稻TFP增长,而要素效率水平不匹配导致了TFP增长率损失;3)从动态演进来看,我国水稻TFP区域间差异总体上呈收敛趋势,但部分地区仍表现出两极化或多极化特征。据此,建议优化技术进步方向,强化资本密集型技术研发;完善要素市场体系,提升要素自由流动和优化配置;借助数字化手段提升要素利用效率;实施区域差异化政策,加强农业配套设施建设,促进技术交流与资源共享,助力水稻生产高质量发展。

    Abstract:

    Enhancing the total factor productivity (TFP) of rice cultivation is of great significance for addressing the challenges of high-quality agricultural development and ensuring grain security in China. This study examines the factor-biased characteristics of China""s rice production and their impacts on TFP growth from 2004 to 2022 by the three-factor augmented CES production function that incorporates capital, labor, and land. The study also employs the kernel density estimation method to depict the dynamic evolution of rice TFP growth. Results show that: 1) China’s rice production exhibits capital-biased, labor-biased, and land-saving technological progress; 2) factor-augmenting technological progress is the main driver of rice TFP growth. The synergistic effect between biased technological progress and the level of factor deepening promotes the growth of rice TFP, while the mismatch in factor efficiency levels leads to losses in TFP growth rates; 3) from a dynamic evolution perspective, regional disparities in China""s rice TFP generally exhibit a convergence trend, though some regions still demonstrate bipolar or multipolar characteristics. Based on these findings and to improve high-quality rice production, this study suggests: optimizing the direction of technological progress, strengthening the development of capital-intensive technologies, improving the factor market system to enhance the free flow and optimal allocation of factors, leveraging digital means to improve factor utilization efficiency, and implementing region-specific policies to strengthen agricultural infrastructure, promote technical exchanges, and share resources.

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引用本文

闵锐,陈霞,王艳婷,丁文斌,冯璐. 偏向性技术进步视角下水稻全要素生产率增长研究[J]. 农业现代化研究, 2025, 46(3): 519-526
MIN Rui, CHEN Xia, WANG Yanting, DING Wenbin, FENG Lu. Research on rice total factor productivity growth from the perspective of biased technological progress[J]. Research of Agricultural Modernization, 2025, 46(3): 519-526

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  • 收稿日期:2024-09-30
  • 最后修改日期:2025-04-17
  • 录用日期:2025-04-18
  • 在线发布日期: 2025-06-20
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