农业龙头企业带动农户效用评价及差异分析--基于南京市119家企业的调研数据

摘要

基于南京市119家不同等级农业龙头企业的调研数据，从带动数量和带动质量角度选取带动农户数量和带动农户增收两个指标为输出变量，从资源和劳动力角度选取主要农产品原材料采购值、对农产品基地建设投入、雇佣农工人数、工资福利等指标为投入变量，运用数据包络分析方法测算了龙头企业带动效率，并比较不同等级龙头企业带动效用的差异。结果表明：龙头企业整体对农户的带动效用远没有达到高效率的状态，尚有较大提升空间；省级以上龙头企业的带动效用较强，与分级目标一致；区(县)级龙头企业带动效用与市级相近，甚至强于市级，与分级预期不一致；同一等级龙头企业的带动效用仍有区别且差异较大。%Based on an investigation data of 119 agriculture leading enterprises in different levels in Nanjing, it employs Data Envelopment Analysis (DEA) to estimate the efficiency of leading enterprises’ driving effects and compares the difference of driving effects among different leveled leading enterprises. Output variables are defined as the number and increased income of driven farmers based on both quantity and quality of driving effects. Input variables are selected to capture resource and labor input, such as raw materials procurement value of the main agricultural products, investments in construction of agricultural products base, number of farmer employers, salary and welfare. The result shows that in general, the driving effects on farmers of leading enterprises are not efficient enough and still have a big room for improvement. The driving effects of the leading enterprises in or above the provincial level are stronger which is consistent with the objective of hierarchical action. The driving effects of the leading enterprises in the district (county) level are similar to those in city level or even stronger, which turns out to be inconsistent with hierarchical expectations. And certain differences exist among leading enterprises in the same level.