中国农业科学 ›› 2026, Vol. 59 ›› Issue (9): 1937-1954.doi: 10.3864/j.issn.0578-1752.2026.09.008

• 土壤肥料·节水灌溉·农业生态环境 • 上一篇    下一篇

中国水稻绿色全要素生产率增长的时空分异与演进规律

姚治榛1(), 杨紫洪1, 张英楠2, 尹昌斌1()   

  1. 1 北方干旱半干旱耕地高效利用全国重点实验室/中国农业科学院农业资源与农业区划研究所, 北京 100081
    2 天津农学院经济管理学院, 天津 300384
  • 收稿日期:2025-06-04 接受日期:2025-09-08 出版日期:2026-05-01 发布日期:2026-05-06
  • 通信作者:
    尹昌斌,E-mail:
  • 联系方式: 姚治榛,E-mail:yzzwoshi110@163.com。
  • 基金资助:
    国家社科基金重点项目(24AZD023); 中国农业科学院重大科技任务(CAAS-ZDRW202419)

Green Total Factor Productivity Growth of Rice in China: Spatiotemporal and Evolutionary Patterns

YAO ZhiZhen1(), YANG ZiHong1, ZHANG YingNan2, YIN ChangBin1()   

  1. 1 State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081
    2 School of Economics and Management, Tianjin Agricultural University, Tianjin 300384
  • Received:2025-06-04 Accepted:2025-09-08 Published:2026-05-01 Online:2026-05-06

摘要:

【目的】揭示水稻绿色全要素生产率(green total factor productivity, GTFP)增长的时空特征与演进规律,以探寻水稻产能提升与减碳的协同路径,为实现水稻生产提质增效提供支持。【方法】基于2006—2023年23个省(市、区)面板数据,构建绿色全要素生产率测算体系,综合使用生命周期评价、超效率SBM-GML模型、收敛模型、核密度估计、马尔可夫链等方法,全面考察中国不同熟制水稻GTFP增长的时空分异特征和动态演进规律。【结果】(1)双季稻“增产-减碳-增汇”的协同发展效果明显;单季稻“增汇”效应滞后于“减碳”效应。(2)单、双季水稻的GTFP均呈增长趋势,相比单季稻,双季稻平均增长速度更快。华中地区单季稻GTFP增长速度高于其他地区;黑龙江、重庆、四川和陕西单季稻GTFP长期处于较高水平,其增长空间受限。(3)单、双季稻全国GTFP存在σ收敛,在种植单季稻的地区中,仅有东北地区GTFP存在σ收敛,种植双季稻的华中和华南地区存在σ收敛。全国及各地区GTFP存在绝对β收敛和条件β收敛。(4)单、双季稻GTFP增长的多极分化现象随着时间推移趋于弱化,但区域差异仍然较大,高增长地区对低增长地区有辐射带动作用。【结论】要分类型制定单、双季稻减碳增汇推进策略,分区域构建水稻产能提升与绿色发展协同推进框架以及探索建立跨区域协作的水稻绿色生产技术扩散机制。

关键词: 水稻, 绿色全要素生产率, 时空特征, 收敛效应, 动态演进

Abstract:

【Objective】This study aimed to unravel the spatiotemporal characteristics and evolutionary patterns of growth in green total factor productivity (GTFP) in rice production, with a view to exploring synergistic pathways for increasing yield while reducing carbon emissions, thereby supporting the transition toward higher-quality and more efficient rice industry development.【Method】Based on panel data from 23 provinces from 2006 to 2023, this study constructed a GTFP measurement system and comprehensively employs methods, such as life cycle assessment, super-efficiency SBM-GML model, convergence model, kernel density estimation, and Markov chain to investigate the spatiotemporal characteristics and dynamic evolution patterns of GTFP growth in rice with different cropping systems in China.【Result】(1) Double cropping rice demonstrated a pattern of "increasing production, reducing carbon emissions, and enhancing carbon sinks", while the improvement of "carbon sinks effect" in single cropping rice lagged behind "carbon reduction effect". (2) The GTFP of both rice types showed an upward trend. Double cropping rice had a faster average annual growth rate. Rice in Central China has the most maintained high GTFP levels. Heilongjiang, Chongqing, Sichuan, and Shaanxi had long the GTFP of the two types of rice but face constraints in GTFP growth. (3) There was σ-convergence in significant GTFP growth. Among the regions where single cropping rice was planted, only the GTFP in the Northeast showed σ-convergence. In the Central China and South China regions, double cropping rice was planted, there was σ-convergence. Both types of rice exhibited significant absolute β-convergence and conditional β-convergence nationwide and in various regions. (4) The phenomenon of multi-polar differentiation in GTFP growth tended to weaken, but regional disparities remained large. Regions with a high level of GTFP growth had a radiating and driving effect on regions with a low level.【Conclusion】Policy recommendations were put forward, including formulating differentiated strategies to promote carbon reduction for different rice, constructing a regional collaborative framework for enhancing rice production capacity and green development, and exploring the establishment of a cross-regional collaborative mechanism for diffusing green rice production technologies.

Key words: rice, green total factor productivity (GTFP), spatiotemporal characteristics, convergence, dynamic evolution patterns