匡兵, 卢新海, 韩璟, 张祚. 考虑碳排放的粮食主产区耕地利用效率区域差异与变化[J]. 农业工程学报, 2018, 34(11): 1-8. DOI: 10.11975/j.issn.1002-6819.2018.11.001
    引用本文: 匡兵, 卢新海, 韩璟, 张祚. 考虑碳排放的粮食主产区耕地利用效率区域差异与变化[J]. 农业工程学报, 2018, 34(11): 1-8. DOI: 10.11975/j.issn.1002-6819.2018.11.001
    Kuang Bing, Lu Xinhai, Han Jing, Zhang Zuo. Regional differences and dynamic evolution of cultivated land use efficiency in major grain producing areas in low carbon perspective[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2018, 34(11): 1-8. DOI: 10.11975/j.issn.1002-6819.2018.11.001
    Citation: Kuang Bing, Lu Xinhai, Han Jing, Zhang Zuo. Regional differences and dynamic evolution of cultivated land use efficiency in major grain producing areas in low carbon perspective[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2018, 34(11): 1-8. DOI: 10.11975/j.issn.1002-6819.2018.11.001

    考虑碳排放的粮食主产区耕地利用效率区域差异与变化

    Regional differences and dynamic evolution of cultivated land use efficiency in major grain producing areas in low carbon perspective

    • 摘要: 为系统考察中国粮食主产区耕地利用效率的分布特征。该研究将耕地利用碳排放作为非期望产出纳入耕地利用效率的测度框架中,以中国粮食主产区2000-2016年数据为支撑,综合运用SBM-Undesirable模型和核密度估计方法对粮食主产区耕地利用效率的空间格局及演进特征进行定量刻画。结果表明:1)粮食主产区整体和各省份耕地利用碳排放都表现出不同幅度的增长态势,其中河南的绝对增长量最大,由2000年的487.40万t变化至2016年的806.99万t,净增长319.59万t,其次是内蒙古和黑龙江,江西的绝对增长量最低,研究期内共增长了59.64万t;2)考虑碳排放后,粮食主产区整体和各省份耕地利用效率明显降低,2000年和2016年,不考虑耕地利用碳排放时,粮食主产区平均耕地利用效率分别为0.774 4和0.917 9,而考虑碳排放后,平均效率指数分别为0.639 4和0.843 8;3)粮食主产区耕地利用效率表现出明显的区域差异,根据SBM-Undesirable模型测度结果可将13个粮食主产区分为耕地利用效率优势区、平缓区和劣势区3种类型;4)从核密度估计结果来看,粮食主产区整体和不同类型区耕地利用效率都表现出明显的偏态分布及不同程度的极化特征,而且,与2000年相比,粮食主产区整体、平缓区和劣势区2016年密度曲线的变化区间明显变小,表明耕地利用效率的地区差距有所缓解,但优势区的区间变化幅度并不明显。该研究可以为粮食主产区耕地资源高效、低碳利用提供科学依据和决策参考。

       

      Abstract: Abstract: To systematically investigate the spatial-temporal distribution characteristics of cultivated land use efficiency in major grain producing areas of China from low carbon perspective, this study took carbon emissions resulting from cultivated land utilization, which acted as an undesirable output, into the measurement framework of cultivated land use efficiency, and quantitatively analyzed the spatial pattern and evolution of cultivated land use efficiency in major grain producing areas from 2000 to 2016. Methods applied in this study include SBM-Undesirable model and kernel density estimation. The results showed that: 1) Carbon emissions resulting from cultivated land utilization in the main grain producing areas and each province all showed upward trend at different rates. The absolute growth of carbon emissions from cultivated land utilization in Henan Province ranked the first, whose carbon emissions changed from 487.40(104 to 806.99(104 t during the period of from 2000 to 2016, with a net increase of 319.59(104 t. Carbon emissions resulting from cultivated land utilization in Inner Mongolia and Heilongjiang ranked the second and third, respectively. The absolute growth of carbon emissions resulting from cultivated land utilization in Jiangxi Province ranked the lowest, with a total increase of 59.64(104 t during the study period. 2) Cultivated land use efficiency of the major grain producing areas and provinces was reduced significantly when the carbon emissions resulting from cultivated land utilization were taken into account. In the year of 2000 and 2016, the average values of cultivated land use efficiency in major grain producing areas measured by the traditional CCR model were 0.7744 and 0.9179, respectively, while the average efficiency measured by SBM-Undesirable model was 0.6394 in 2000 and 0.8438 in 2016. 3) Cultivated land use efficiency in major grain producing areas showed characteristics with significant spatial disparities. As can be seen from the results calculated by SBM-Undesirable model, 13 major grain producing areas can be divided into 3 types, namely, advantage areas, flat areas and disadvantage areas. Each area differed variously in indicators of input and output during the processes of cultivated land utilization. 4) From the results of kernel density estimation, during the study period, cultivated land use efficiency in the main grain producing areas, including advantage areas, flat areas and disadvantage areas all presented characteristics of skewed distribution and polarization. Meanwhile, compared with the density curve in the year of 2000, the change intervals of the density curve of major grain producing areas, including flat areas and disadvantage areas were smaller in 2016, indicating that the regional gap of cultivated land use efficiency in these areas was narrowed in the period of from 2000 to 2016. However, during this period, the change interval of the density curve of advantage areas was not obvious. Under the background of "low carbon development" and "green development", this study can provide scientific basis and decision-making reference for the efficient and low-carbon use of cultivated land resources in major grain producing areas, which can also be helpful for the sustainable utilization of cultivated land in other regions of China.

       

    /

    返回文章
    返回