基于交叉DEA的长江经济带农用地利用碳排放效率及影响因素研究 |
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引用本文: | 李伊涵,李春华,杨承楷. 基于交叉DEA的长江经济带农用地利用碳排放效率及影响因素研究[J]. 现代农业科技, 2022, 0(17): 153-157 |
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作者姓名: | 李伊涵 李春华 杨承楷 |
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作者单位: | 中南林业科技大学,中南林业科技大学,中南林业科技大学 |
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基金项目: | 国家重点研发计划项目(2017YFD060050602;2017YFD0600506) |
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摘 要: | 为了优化长江经济带农用地结构、提升农用地利用效率,本文利用数据包络分析法评估了长江经济带2013—2017年农用地利用碳排放效率。结果表明,5年间长江经济带11个省(市)的农用地利用碳排放效率整体偏低,区域农用地利用平均效率不足0.7。通过对比2017年不考虑碳排放影响下的农用地利用效率结果得出,碳排放会对农用地利用效率有一定程度的负面影响。Tobit回归分析发现,对区域农用地利用碳排放效率具有显著影响的因素是年均气温、耕地面积以及农村居民人均收入。因此,探讨碳排放影响下的农用地利用效率及其影响因素对优化农业土地结构和资源可持续利用有重要作用。
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关 键 词: | 数据包络分析 土地利用效率 碳排放 Tobit回归 长江经济带 2013—2017年 |
收稿时间: | 2021-12-14 |
修稿时间: | 2021-12-14 |
Study on carbon emission efficiency and influencing factors of agricultural land use in the Yangtze River Economic Belt based on cross DEA |
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Abstract: | Based on the background of carbon emissions, data envelopment analysis was used to evaluate the carbon emission efficiency of agricultural land use in the Yangtze River Economic Belt from 2013 to 2017. The results showed that the carbon emission efficiency of agricultural land use in 11 provinces and cities of the Yangtze River Economic Belt was relatively low in the past five years, and the average efficiency of regional agricultural land use was less than 0.7. In addition, by comparing the agricultural land use efficiency in 2017 without considering the impact of carbon emissions, it can be concluded that carbon emissions will have a certain degree of negative impact on the agricultural land use efficiency. In addition, Tobit regression analysis showed that average annual temperature, arable land area and per capita income of rural residents had significant influence on carbon emission efficiency of regional agricultural land use. Therefore, the study of agricultural land use efficiency and its influencing factors under the influence of carbon emissions plays an important role in optimizing agricultural land structure and sustainable resource utilization. |
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Keywords: | Data envelopment analysis Land use efficiency Carbon emissions Tobit regression Yangtze River Economic Belt |
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