我国葡萄生产能源效率评价——基于数据包络与随机前沿的方法融合及验证

Evaluation of energy efficiency of grape production in China:A fusion method based on DEA and SFA and its validation

为测评我国葡萄主产区的能源效率,将基于数据包络和随机前沿方法的融合方法模型应用于葡萄生产能源效率评价中,并对不同的效率评价模型进行了对比与验证。结果表明:山东、吉林、安徽、甘肃、陕西5省的能源效率值为1,宁夏、江苏、云南的能源效率最低;北方产区能源效率高于南方产区,排名依次为华北、东北、西北、华南、西南;融合方法和数据包络方法测算的能源效率具有显著的一致性,融合方法可以克服传统随机前沿分析方法由于设定生产函数和进行参数分布假设所产生的偏差,且比传统数据包络方法具有更好的稳定性,因此融合方法是一种合理且更优的能源效率评价方法。

To evaluate the energy efficiency of five main grape producing areas in China,a fusion method based on Data Envelopment Analysis and Stochastic Frontier approach（DS）is applied to evaluate the energy efficiency of grape production in this study.Different models were analyzed and validated.The results showed：The energy efficiency value of Shandong,Jilin,Anhui,Gansu,Shaanxi provinces was 1,while the value of Ningxia,Jiangsu and Yunnan was the lowest;Energy efficiency of grape in northern region was higher than in the southern region ranking North China,Northeast,Northwest,South China,Southwest;The energy efficiency calculated in DS and DEA method displayed remarkable consistency.The DS method avoided the deviation caused by production function setting and the parameter distribution compared with SFA method.And it preserved better stability compared with the traditional DEA method.In conclusion,DS method is a reasonable and better energy efficiency evaluation method.