提高我国农村经济的发展速度,须重视财政支农支出的效益。为了解决财政支农过程中现存的问题,以贵州省铜仁市为例,从该市的财政支农过程中分析出提高财政支农效率的路径。将铜仁市财政支农的绝对规模、相对规模、支农结构三方面作为分...提高我国农村经济的发展速度,须重视财政支农支出的效益。为了解决财政支农过程中现存的问题,以贵州省铜仁市为例,从该市的财政支农过程中分析出提高财政支农效率的路径。将铜仁市财政支农的绝对规模、相对规模、支农结构三方面作为分析该市财政支农过程中的问题的切入点。在数据分析中发现,铜仁市财政支农占农业GDP的比值落后于最优规模。再运用DEA模型基于2011~2021年的时间序列数据将铜仁市财政支农水平与贵州省财政支农水平进行比较,并利用该模型对铜仁市各区(县)的财政资金在不同领域的资金利用效率进行分析。结果表明,铜仁市财政支农支出结构与产出不匹配,落后于全省平均水平,且财政支农支出绩效管理水平不均衡不稳定。据此,提出加大财政支农资金规模、调整财政支农支出结构、提升财政支农资金的使用效率、健全财政支农相关政策和制度四方面的政策建议。To improve the development speed of rural economy, we must pay attention to the benefit of financial agricultural expenditure. In order to solve the existing problems in the process of financial support for agriculture, taking Tongren city of Guizhou Province as an example, the path to improve the efficiency of financial support for agriculture is analyzed from the process of financial support for agriculture. The absolute scale, relative scale and structure of financial support in Tongren are taken as the entry point to analyze the problems in the process of financial support in Tongren. In the data analysis, it is found that the ratio of agricultural GDP lags behind the optimal scale. The DEA model is then used based on the time series data of 2011~2021 to increase the high level of financial support for agriculture in Tongren city. The level of state and provincial financial support for agriculture was compared, and the model was used to analyze the utilization efficiency of financial funds in Tongren districts (counties) in different fields. The results show that the structure of Tongren financial support expenditure does not match the output, lagging behind the provincial average level, and the performance management level of financial support expenditure is unbalanced and unstable. Accordingly, four policy suggestions are put forward: increasing the scale of financial funds for supporting agriculture, adjusting the structure of financial expenditure for supporting agriculture, improving the use efficiency of financial funds for supporting agriculture, and improving the relevant policies and systems of financial support for agriculture.展开更多
文摘提高我国农村经济的发展速度,须重视财政支农支出的效益。为了解决财政支农过程中现存的问题,以贵州省铜仁市为例,从该市的财政支农过程中分析出提高财政支农效率的路径。将铜仁市财政支农的绝对规模、相对规模、支农结构三方面作为分析该市财政支农过程中的问题的切入点。在数据分析中发现,铜仁市财政支农占农业GDP的比值落后于最优规模。再运用DEA模型基于2011~2021年的时间序列数据将铜仁市财政支农水平与贵州省财政支农水平进行比较,并利用该模型对铜仁市各区(县)的财政资金在不同领域的资金利用效率进行分析。结果表明,铜仁市财政支农支出结构与产出不匹配,落后于全省平均水平,且财政支农支出绩效管理水平不均衡不稳定。据此,提出加大财政支农资金规模、调整财政支农支出结构、提升财政支农资金的使用效率、健全财政支农相关政策和制度四方面的政策建议。To improve the development speed of rural economy, we must pay attention to the benefit of financial agricultural expenditure. In order to solve the existing problems in the process of financial support for agriculture, taking Tongren city of Guizhou Province as an example, the path to improve the efficiency of financial support for agriculture is analyzed from the process of financial support for agriculture. The absolute scale, relative scale and structure of financial support in Tongren are taken as the entry point to analyze the problems in the process of financial support in Tongren. In the data analysis, it is found that the ratio of agricultural GDP lags behind the optimal scale. The DEA model is then used based on the time series data of 2011~2021 to increase the high level of financial support for agriculture in Tongren city. The level of state and provincial financial support for agriculture was compared, and the model was used to analyze the utilization efficiency of financial funds in Tongren districts (counties) in different fields. The results show that the structure of Tongren financial support expenditure does not match the output, lagging behind the provincial average level, and the performance management level of financial support expenditure is unbalanced and unstable. Accordingly, four policy suggestions are put forward: increasing the scale of financial funds for supporting agriculture, adjusting the structure of financial expenditure for supporting agriculture, improving the use efficiency of financial funds for supporting agriculture, and improving the relevant policies and systems of financial support for agriculture.
