Measurement of Grain Production Efficiency in Main Grain-producing Areas and Analysis of Inter-provincial Differences——A Study Based on Super-SBM Model and Malmquist Index

被引:0
|
作者
Qi Heng [1 ]
Su Jing-yan [1 ]
机构
[1] Department of Academic Theory Research, Northeast Agricultural University
关键词
D O I
暂无
中图分类号
F326.11 [粮食作物];
学科分类号
摘要
China’s food security mainly depends on the core areas of food production.Under the dual constraints of resource scarcity and environmental degradation,improving the grain production efficiency of the main grain-producing areas has become the fundamental way to strengthen the grain production capacity and improve the national food security capability,and to improve the efficiency of grain production in major grain-producing areas requires empirical support.This paper used the Super SBM model and the Malmquist index to measure the grain production efficiency of the main grain-producing areas from 2001 to 2020 from both static and dynamic perspectives,and compared the differences in grain production efficiency among different soil types and different provinces (autonomous regions) in the main grain-producing areas.The results showed that from 2001 to 2020,the grain production in the main grain-producing areas was in a relatively ineffective state,and the differences in grain production efficiency among different soil types and different provinces (autonomous regions) in the main grain-producing areas were obvious.The order of grain production efficiency in different soil types was black soil region>red-yellow soil region>paddy soil region>fluvo-aquic soil region,and the order of grain production efficiency of the provinces (autonomous regions) in the main grain-producing areas was Jilin>Heilongjiang>Inner Mongolia>Jiangxi>Hunan>Sichuan>Hubei>Jiangsu>Liaoning>Henan>Anhui>Shandong>Hebei.From 2001 to 2020,the total factor productivity of grain in the main grain-producing areas increased,but due to the trade-off between the technological progress and the growth of technical efficiency,the increase in the total factor productivity of grain in the main grain-producing areas was small,and the growth mainly came from the increase of input factors in this period.The total factor productivity of grain in Hebei,Heilongjiang,Liaoning,Jilin,Inner Mongolia,Shandong,Jiangsu,Henan and Anhui increased,but the increase was small,while the total factor productivity of grain in Jiangxi,Sichuan,Hunan and Hubei provinces declined.
引用
收藏
页码:86 / 96
页数:11
相关论文
共 25 条
  • [1] Provincial Differences and Dynamic Changes in Mariculture Efficiency in China: Based on Super-SBM Model and Global Malmquist Index
    Yu, Xuan
    Hu, Qiuguang
    Shen, Manhong
    BIOLOGY-BASEL, 2020, 9 (01):
  • [2] Research on grain production efficiency in China's main grain-producing areas from the perspective of grain subsidy
    Zhang, Dehua
    Wang, Haiqing
    Lou, Sha
    ENVIRONMENTAL TECHNOLOGY & INNOVATION, 2021, 22
  • [3] Analysis and Evaluation of Production Risk for the Main Grain-producing Areas of China
    Xu Lei
    Zhang Qiao
    ADVANCES IN MANAGEMENT OF TECHNOLOGY, PT 2, 2010, : 64 - 68
  • [4] Provincial performance assessment of neighborhood regeneration based on a super-SBM model and the Malmquist indices: A China study
    Liu, Guiwen
    Fu, Xinyue
    Zhuang, Taozhi
    Huang, Ruopeng
    Wu, Hongjuan
    SUSTAINABLE PRODUCTION AND CONSUMPTION, 2022, 32 : 593 - 606
  • [5] Study on the thresholds of grain production risk from climate change in China's main grain-producing areas
    Sun, Mingyang
    Chou, Jieming
    Xu, Yuan
    Yang, Fan
    Li, Jiangnan
    PHYSICS AND CHEMISTRY OF THE EARTH, 2020, 116
  • [6] Spatial and Temporal Differences and Influencing Factors of Eco-Efficiency of Cultivated Land Use in Main Grain-Producing Areas of China
    Ma, Yan
    Wang, Xingyu
    Zhong, Chuanliang
    SUSTAINABILITY, 2024, 16 (13)
  • [7] An analysis of energy efficiency of the Pearl River Delta of China based on super-efficiency SBM model and Malmquist index
    Liu, Boyu
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (07) : 18998 - 19011
  • [8] An analysis of energy efficiency of the Pearl River Delta of China based on super-efficiency SBM model and Malmquist index
    Boyu Liu
    Environmental Science and Pollution Research, 2023, 30 : 18998 - 19011
  • [9] Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China
    Jiang, Xiaohong
    Ma, Jianxiao
    Zhu, Huizhe
    Guo, Xiucheng
    Huang, Zhaoguo
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (22) : 1 - 19
  • [10] Comprehensive Analysis of Grain Production Based on Three-Stage Super-SBM DEA and Machine Learning in Hexi Corridor, China
    Yan, Zhengxiao
    Zhou, Wei
    Wang, Yuyi
    Chen, Xi
    SUSTAINABILITY, 2022, 14 (14)