Measurement and convergence of agricultural green production efficiency in the Yangtze River Economic Belt under carbon emission constraints

doi:10.14088/j.cnki.issn0439-8114.2024.03.022

Abstract

Abstract: Agricultural green production efficiency in the Yangtze River Economic Belt was measured with the panel three-stage DEA model, and convergence analysis was made on this basis. The results showed that environmental factors and random errors had significant effects on agricultural green production efficiency in the Yangtze River Economic Belt. The agricultural green production efficiency in the upper, middle and lower reaches of the Yangtze River economic belt had obvious spatial imbalance phenomenon. The difference of agricultural green production efficiency among provinces（cities） in the three regions of the Yangtze River Economic Belt showed a decreasing trend. Based on this, in order to further improve and spatially optimize the agricultural green production efficiency in the Yangtze River Economic Belt, the following suggestions were proposed, such as clarifying the regional environment and adapting to local conditions; grasping regional differences and implementing precise policies; breaking down the regional barrier and promoting coordinated development.

Key words: carbon emission constraint, agricultural green production efficiency, the convergence, Yangtze River Economic Belt

CLC Number:

F323.223
X82

XU Dong-fang, KONG Ling-cheng. Measurement and convergence of agricultural green production efficiency in the Yangtze River Economic Belt under carbon emission constraints[J]. HUBEI AGRICULTURAL SCIENCES, 2024, 63(3): 142-149.

References

[1] 王若梅,马海良,王锦.基于水-土要素匹配视角的农业碳排放时空分异及影响因素——以长江经济带为例[J].资源科学,2019,41(8):1450-1461.
[2] 王学婷,张俊飚.双碳战略目标下农业绿色低碳发展的基本路径与制度构建[J].中国生态农业学报(中英文),2022,30(4):516-526.
[3] 张俊飚,何可.“双碳”目标下的农业低碳发展研究:现状、误区与前瞻[J].农业经济问题,2022(9):35-46.
[4] BRAVO-URETA B,PINHEIRO A.Efficiency analysis of developing country agriculture:A review of the frontier function literature[J]. Agricultural and resource economics review, 1993, 22(1):88-101.
[5] HELFAND S M, LEVINE E S.Farm size and the determinants of productive efficiency in the Brazilian Center-West[J] . Agricultural economics, 2004, 31(2):241-249.
[6] MONCHUK D C.中国农业生产非效率的影响因素分析[J].世界经济文汇,2009(2):47-56,11.
[7] 黄炎忠,罗小锋,李兆亮.我国农业绿色生产水平的时空差异及影响因素[J].中国农业大学学报,2017,22(9):183-190.
[8] 郭海红,刘新民.中国农业绿色全要素生产率的时空分异及收敛性[J].数量经济技术经济研究,2021,38(10):65-84.
[9] 李翠霞,许佳彬,王洋.农业绿色生产社会化服务能提高农业绿色生产率吗[J].农业技术经济,2021(9):36-49.
[10] 邓波,张学军,郭军华.基于三阶段DEA模型的区域生态效率研究[J].中国软科学,2011(1):92-99.
[11] 相天东. 我国区域碳排放效率与全要素生产率研究——基于三阶段DEA模型[J].经济经纬,2017,34(1):20-25.
[12] 郭四代,仝梦,郭杰,等.基于三阶段DEA模型的省际真实环境效率测度与影响因素分析[J].中国人口·资源与环境,2018,28(3):106-116.
[13] 井莉. 环境规制下我国粮食生产绿色全要素生产率分析[J].南方农业学报,2021,52(8):2311-2318.
[14] 刘亦文,欧阳莹,蔡宏宇.中国农业绿色全要素生产率测度及时空演化特征研究[J].数量经济技术经济研究,2021,38(5):39-56.
[15] FRIED H O, LOVELL C A K, SCHMIDT S S, et al. Accounting for environmental effects and statistical noise in data envelopment analysis[J]. Journal of productivity analysis, 2002(17): 121-136.
[16] 刘自敏,张昕竹,杨丹.我国省级政府卫生投入效率的时空演变——基于面板三阶段DEA模型的分析[J].中央财经大学学报,2014(6):97-104.
[17] 罗登跃. 三阶段DEA模型管理无效率估计注记[J].统计研究,2012,29(4):104-107.
[18] 刘艳. 数字普惠金融对农业全要素生产率的影响[J].统计与决策,2021,37(21):123-126.
[19] 肖琴,周振亚,罗其友.长江经济带农业绿色生产效率及其时空分异特征研究[J].中国农业资源与区划,2020,41(10):15-24.
[20] 李兆亮,罗小锋,薛龙飞,等.中国农业绿色生产效率的区域差异及其影响因素分析[J].中国农业大学学报,2017,22(10):203-212.
[21] 吴传清,黄成.排污异质性与长江经济带工业绿色转型发展研究[J].湖北大学学报(哲学社会科学版),2021,48(1):105-114,173.
[22] 李波,王春妤,张俊飚.中国农业净碳汇效率动态演进与空间溢出效应[J].中国人口·资源与环境,2019,29(12):68-76.
[23] 张玉昌,宋建.要素配置、产业发展与产业结构——基于政府主导的产业发展战略视角[J].南方经济,2018(9):86-106.
[24] 程琳琳,张俊飚,何可.空间视角下城镇化对农业碳生产率的直接作用与间接溢出效应研究[J].中国农业资源与区划,2019,40(11):48-56.
[25] 沈洋,周鹏飞.农业绿色全要素生产率测度及收敛性分析——基于碳汇和碳排放双重视角[J].调研世界,2022(4):58-68.
[26] 李欠男,李谷成,尹朝静.中国农业绿色发展水平的地区差异及收敛性——基于地级市面板数据的实证[J].中国农业大学学报,2022,27(2):230-242.