Scientia Agricultura Sinica ›› 2026, Vol. 59 ›› Issue (9): 1937-1954.doi: 10.3864/j.issn.0578-1752.2026.09.008

• SOIL & FERTILIZER·WATER-SAVING IRRIGATION·AGROECOLOGY & ENVIRONMENT • Previous Articles     Next Articles

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 Online:2026-05-01 Published:2026-05-06
  • Contact: YIN ChangBin

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

Table 1

Accounting index system for rice GTFP"

指标Indicator 分项名称Sub-item name 变量名称Variable name
投入变量
Input
劳动Labor 劳动力投入Labor input (d·hm-2)
资本Captain 种子使用量Seed usage (kg·hm-2)
化肥施用量Chemical fertilizer application rate (kg·hm-2)
农药使用量Pesticide application rate (kg·hm-2)
灌溉用电量Electricity consumption for irrigation (kWh·hm-2)
机械柴油用量Diesel consumption for machinery (kg·hm-2)
产出变量
Output
期望产出Desirable output 水稻产量Rice yield (kg·hm-2)
土壤固碳Soil carbon sequestration (kgCO2-eq·hm-2)
非期望产出Undesirable output 温室气体排放Greenhouse gas emissions (kgCO2-eq·hm-2)

Fig. 1

System boundaries for estimating greenhouse gas emissions and soil carbon sequestration in rice production"

Fig. 2

Changes in greenhouse gas emissions, soil carbon sequestration, and rice yield of single cropping rice and double cropping rice from 2006 to 2023"

Table 2

ML, CML, and GML indexes and their decomposition for single cropping rice and double cropping rice from 2006 to 2023"

周期
Cycle
单季稻Single cropping rice 双季稻Double cropping rice
(1) (2) (3) (1) (2) (3)
ML EC TC ML EC TC
2006-2010 1.0154 0.9895 1.0262 1.0026 1.0044 0.9982
2011-2015 1.0394 1.0124 1.0267 1.0322 0.9875 1.0453
2016-2020 1.0508 1.0155 1.0347 1.0376 1.0095 1.0278
2021-2023 1.0427 0.9826 1.0643 1.0443 0.9914 1.0534
年均值Annual average value 1.0364 1.0018 1.0350 1.0274 0.9989 1.0285
CML CEC CTC CML CEC CTC
2006-2010 1.0221 0.9985 1.0236 1.0013 1.0058 0.9955
2011-2015 1.0517 1.0126 1.0386 1.0423 0.9851 1.0581
2016-2020 1.0522 1.0216 1.0299 1.0410 1.0116 1.0292
2021-2023 1.0472 0.9754 1.0736 1.0488 0.9847 1.0651
年均值Annual average value 1.0428 0.9998 1.0430 1.0315 0.9981 1.0335
GML GEC GTC GML GEC GTC
2006-2010 0.9945 0.9923 1.0022 1.0255 1.0059 1.0195
2011-2015 1.0462 0.9842 1.0630 1.0486 0.9718 1.0790
2016-2020 1.0384 1.0235 1.0145 1.0715 1.0217 1.0487
2021-2023 1.0213 0.9756 1.0468 1.0632 0.9868 1.0774
年均值Annual average value 1.0253 0.9958 1.0296 1.0508 0.9974 1.0535

Fig. 3

Cumulative changes and decomposition of GTFP for single cropping rice and double cropping rice from 2006 to 2023"

Table 3

Annual average GML index and its decomposition in 23 provinces (district, city) across 6 major rice-growing regions from 2006 to 2023"

产区
Producing area
单季稻Single cropping rice 双季稻Double cropping rice
GML GEC GTC GML GEC GTC
东北稻作区Northeast 1.0125 0.9923 1.0204
内蒙古Inner Mongolia 1.0185 0.9522 1.0697
辽宁Liaoning 1.0316 1.0240 1.0074
吉林Jilin 1.0164 1.0003 1.0160
黑龙江Heilongjiang 0.9843 0.9939 0.9903
华北稻作区North 1.0531 1.0062 1.0467
河北Hebei 1.0613 1.0236 1.0368
山东Shandong 1.0557 0.9952 1.0608
河南Henan 1.0425 0.9999 1.0426
华中稻作区Central 1.0622 1.0047 1.0572 1.0519 1.0026 1.0491
江苏Jiangsu 1.0736 1.0010 1.0726
浙江Zhejiang 1.0488 0.9741 1.0768 1.0540 0.9930 1.0614
安徽Anhui 1.0682 1.0345 1.0326 1.0525 1.0032 1.0491
江西Jiangxi 1.0330 1.0044 1.0285
湖北Hubei 1.0659 1.0138 1.0514 1.0574 1.0019 1.0554
湖南Hunan 1.0545 1.0013 1.0531 1.0629 1.0108 1.0515
西北稻作区Northeast 1.0037 0.9869 1.0171
陕西Shaanxi 1.0024 1.0080 0.9945
宁夏Ningxia 1.0051 0.9663 1.0402
西南稻作区Southeast 0.9823 0.9876 0.9946
重庆Chongqing 0.9988 1.0193 0.9799
四川Sichuan 1.0148 0.9995 1.0153
贵州Guizhou 0.9063 0.9464 0.9576
云南Yunnan 1.0134 0.9866 1.0272
华南稻作区South 1.0327 0.9850 1.0484 1.0448 0.9898 1.0555
福建Fujian 1.0327 0.9850 1.0484 1.0330 1.0044 1.0285
广东Guangdong 1.0189 0.9581 1.0635
广西Guangxi 1.0596 1.0004 1.0593
海南Hainan 1.0683 0.9971 1.0714

Fig. 4

Changes in GTFP of single cropping rice and double cropping rice from 2006 to 2023"

Table 4

Results of the σ-convergence test for GTFP of single cropping and double cropping rice"

年份
Year
单季稻σ收敛检验
σ-convergence test for single cropping rice
双季稻σ收敛检验
σ-convergence test for double cropping rice
东北
Northeast
华北
North
华中
Central
西北
Northwest
西南
Southwest
全国
Nation
华中
Central
华南
South
全国
Nation
2006 0.6328 0.1426 0.1276 0.8109 0.4436 0.5254 0.4013 0.2274 0.4100
2007 0.3808 0.1652 0.0921 0.8689 0.4262 0.4924 0.5276 0.1192 0.7251
2008 0.3176 0.1102 0.1835 0.8252 0.4486 0.5214 0.4558 0.2651 0.5537
2009 0.4038 0.1781 0.2340 0.6621 0.4353 0.4246 0.3329 0.2492 0.5867
2010 0.3322 0.2440 0.1934 0.8130 0.4014 0.3911 0.2574 0.1826 0.1387
2011 0.3449 0.2442 0.1614 0.8932 0.4744 0.3850 0.2352 0.2560 0.1953
2012 0.4159 0.2385 0.1274 0.8401 0.3856 0.3453 0.2052 0.2037 0.1453
2013 0.4711 0.1418 0.2122 0.8397 0.4764 0.4215 0.2878 0.3315 0.1901
2014 0.4826 0.2538 0.2171 0.7482 0.4161 0.3629 0.2422 0.2262 0.0162
2015 0.4612 0.3921 0.4097 0.8455 0.4759 0.4283 0.2531 0.2197 0.1422
2016 0.4951 0.1259 0.2967 0.7746 0.4907 0.3894 0.2608 0.2656 0.1406
2017 0.4410 0.2143 0.2745 0.5959 0.5829 0.3801 0.2899 0.2322 0.2712
2018 0.4939 0.3532 0.2272 0.5656 0.5545 0.3720 0.2543 0.0841 0.3625
2019 0.3272 0.2625 0.1757 0.5433 0.5624 0.3368 0.2300 0.1620 0.2742
2020 0.3542 0.2593 0.1861 0.5655 0.6049 0.3323 0.2463 0.1474 0.3690
2021 0.4242 0.2832 0.2036 0.4851 0.5719 0.3457 0.2409 0.1874 0.3295
2022 0.3260 0.1569 0.1990 0.8117 0.5123 0.3404 0.2372 0.1355 0.3052
2023 0.3938 0.1536 0.1645 0.8807 0.5617 0.3643 0.2054 0.0175 0.3164

Table 5

Results of the absolute β-convergence test for GTFP of single cropping and double cropping rice"

区域
Region
单季稻Single cropping rice 双季稻Double cropping rice
全国
Nation
东北
Northeast
华北
North
华中
Central
西北
Northwest
西南
Southwest
全国
Nation
华中
Central
华南
South
β -0.115***
(0.023)
-0.154***
(0.060)
-0.111**
(0.060)
-0.089***
(0.045)
-0.035*
(0.043)
-0.247***
(0.059)
-0.129***
(0.043)
-0.105**
(0.054)
-0.176**
(0.071)
α -0.047***
(0.018)
-0.094**
(0.048)
-0.018
(0.042)
0.006
(0.033)
-0.020
(0.039)
-0.168***
(0.052)
-0.029
(0.030)
-0.003
(0.035)
-0.076
(0.055)
R2 0.145 0.165 0.090 0.049 0.269 0.382 0.072 0.046 0.118

Table 6

Results of the conditional β-convergence test for GTFP of single cropping and double cropping rice"

区域
Region
单季稻Single cropping rice 双季稻Double cropping rice
全国
Nation
东北
Northeast
华北
North
华中
Central
西北
Northwest
西南
Southwest
全国
Nation
华中
Central
华南
South
β -0.393***
(0.038)
-0.533***
(0.121)
-0.656***
(0.175)
-0.513***
(0.115)
-0.367*
(0.317)
-0.439***
(0.083)
-0.603***
(0.079)
-0.696***
(0.125)
-1.135***
(0.140)
α 0.067
(0.127)
0.546
(0.352)
-2.047***
(0.857)
-0.331
(0.417)
2.183
(1.955)
-1.015***
(0.589)
0.085
(0.273)
-0.857*
(0.472)
2.210***
(0.628)
R2 0.370 0.579 0.716 0.458 0.752 0.799 0.440 0.540 0.694
控制变量
Control variable
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
年份
Years
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
省份(区、市)
Provinces (District, City)
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled
已控制
Controlled

Fig. 5

Kernel density estimation distribution of cumulative growth in GTFP for single cropping and double cropping rice"

Table 7

Traditional and spatial Markov chains transition probabilities for GTFP growth"

传统
Traditional
类型
Type
低水平
Low level
中低水平
Medium-low level
中高水平
Medium-high level
高水平
High level
频数
Frequency
低水平Low level 0.7857 0.1905 0.0119 0.0119 84
中低水平Medium-low level 0.1463 0.5976 0.2561 0.0000 82
中高水平Medium-high level 0.0244 0.1341 0.6585 0.1829 82
高水平High level 0.0000 0.0000 0.0800 0.9200 75
空间滞后Spatial lag
低水平
Low level
低水平Low level 0.8919 0.0541 0.0270 0.0270 37
中低水平Medium-low level 0.1364 0.5909 0.2727 0.0000 22
中高水平Medium-high level 0.0000 0.6667 0.3333 0.0000 3
高水平High level 0.0000 0.0000 0.0000 1.0000 1
中低水平
Medium-low level
低水平Low level 0.7273 0.2727 0.0000 0.0000 22
中低水平Medium-low level 0.1667 0.7083 0.1250 0.0000 24
中高水平Medium-high level 0.0370 0.1481 0.7407 0.0741 27
高水平High level 0.0000 0.0000 0.4000 0.6000 5
中高水平
Medium-high level
低水平Low level 0.7083 0.2917 0.0000 0.0000 24
中低水平Medium-low level 0.1515 0.5152 0.3333 0.0000 33
中高水平Medium-high level 0.0233 0.0698 0.6977 0.2093 43
高水平High level 0.0000 0.0000 0.1765 0.8235 17
高水平
High level
低水平Low level 0.0000 1.0000 0.0000 0.0000 1
中低水平Medium-low level 0.0000 0.6667 0.3333 0.0000 3
中高水平Medium-high level 0.0000 0.2222 0.3333 0.4444 9
高水平High level 0.0000 0.0000 0.0192 0.9808 52
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