Content of Agricultural Production Efficiency in our journal

        Published in last 1 year |  In last 2 years |  In last 3 years |  All
    Please wait a minute...
    For Selected: Toggle Thumbnails
    Measurement and convergence of agricultural green production efficiency in the Yangtze River Economic Belt under carbon emission constraints
    XU Dong-fang, KONG Ling-cheng
    HUBEI AGRICULTURAL SCIENCES    2024, 63 (3): 142-149.   DOI: 10.14088/j.cnki.issn0439-8114.2024.03.022
    Abstract57)      PDF (1552KB)(29)       Save
    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.
    Reference | Related Articles | Metrics
    Spatial-temporal evolution characteristics and influencing factors of grain production efficiency in China
    JI-Zhang Han-yu, YANG Hui-wen
    HUBEI AGRICULTURAL SCIENCES    2024, 63 (3): 150-156.   DOI: 10.14088/j.cnki.issn0439-8114.2024.03.023
    Abstract54)      PDF (3176KB)(31)       Save
    The grain production efficiency measurement index system was designed based on the input-output framework, and a dynamic DEA calculation model of grain production efficiency based on DDF was constructed to calculate the grain production efficiency of China from 2011 to 2019. ESTAD model and geographic detectors were used to identify the spatial-temporal evolution characteristics of grain production efficiency in China as well as its influencing factors. The results showed that, from 2011 to 2019, China’s grain production efficiency was relatively high on the whole, showing a small dynamic decline trend, as well as obvious regional differences. The stability of local spatial structure and spatial dependence direction of grain production efficiency in China was strong. The stability of local spatial structure in eastern and western China was higher than that in central China, while the stability in central and western China was higher than that in eastern coastal China. The proportion of provinces (cities, autonomous regions) with synergistic growth of grain production efficiency and neighboring regions was 51.6%, mainly located in the south of the Yellow River, and the spatial pattern integration showed the characteristics of diversification and differentiation. Macroeconomic factors had the greatest impact on grain production efficiency, while policy support factors had the least impact. However, the interaction between policy support and other factors had a nonlinear enhancing effect.
    Reference | Related Articles | Metrics