关键词: Agricultural low-carbon production Financial support Spatial Durbin model Structural adjustment Yellow River Basin

Mesh : Agriculture Rivers Carbon China

来  源:   DOI:10.1007/s11356-024-34108-w

Abstract:
Based on the panel data of 75 cities in the Yellow River Basin from 2000 to 2020, this manuscript measures the agricultural low-carbon production efficiency scientifically through the Super-SBM model. In addition, the deviation degree of agricultural industry is used as the index of structural adjustment. Finally, the spatial Durbin model is used to analyze the effect direction and degree of structural adjustment, financial support, and their synergistic effect on agricultural low-carbon production efficiency. The results show that ① the agricultural low-carbon production efficiency in the Yellow River Basin shows a trend of fluctuating downward and a spatial distribution pattern of \"high in the east and low in the west\". ② Structural adjustment in local region and adjacent areas has a significantly negative impact on agricultural low-carbon production, and the inhibitory effect in adjacent areas is more obvious, and the negative spatial spillover effect is strong. Financial support has a significantly positive impact on agricultural low-carbon production, but the spatial spillover effect of adjacent areas is not obvious. ③ By region, structural adjustment has a significantly negative impact on low-carbon agricultural production in the midstream and downstream regions, while financial support has a significantly positive impact on low-carbon agricultural production in the upstream region. The impact of control variables on agricultural low-carbon production varies from region to region. ④ The synergistic effect of structural adjustment and financial support in the whole and midstream region shows a significantly positive impact on agricultural low-carbon production, indicating that financial support has a certain correction effect on structural adjustment. The coefficient between the upstream and downstream regions is positive but not significant. The conclusions have important reference significance for promoting the ecological protection and high-quality development and agricultural low-carbon development in the Yellow River Basin.
摘要:
基于2000-2020年黄河流域75个城市的面板数据,通过Super-SBM模型对农业低碳生产效率进行了科学测度。此外,农业产业偏离度作为结构调整的指标。最后,利用空间杜宾模型分析了结构调整的影响方向和程度,财政支持,以及它们对农业低碳生产效率的协同作用。结果表明:①黄河流域农业低碳生产效率呈现波动下降趋势,呈现“东高西低”的空间分布格局。②本地区和邻近地区的结构调整对农业低碳生产有显著的负面影响,在相邻区域的抑制作用更加明显,负空间溢出效应较强。金融支持对农业低碳生产有显著的正向影响,但邻区的空间溢出效应不明显。③按地区划分,结构调整对中下游地区的低碳农业生产有显著的负面影响,而金融支持对上游地区的低碳农业生产有显著的积极影响。控制变量对农业低碳生产的影响因地区而异。④整个中游地区结构调整和金融支持的协同作用对农业低碳生产具有显著的正向影响,表明金融支持对结构调整有一定的矫正作用。上游和下游区域之间的系数为正,但不显著。研究结论对促进黄河流域生态保护与高质量发展、农业低碳发展具有重要的借鉴意义。
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