中国养殖海域绿色技术效率测度及其影响因素分析

Green Technology Efficiency Measurement and Influencing Factors Analysis in China's Mariculture Areas

摘要:

基于粮食安全问题和养殖海域可持续发展的现实需要，在考虑非期望产出的基础上，运用超越对数生产函数形式的随机前沿模型，以中国沿海10个省（市、区）2008－2018年的数据为样本，测度养殖海域绿色技术效率，并对其影响因素进行分析。研究发现：2008－2018年10省（市、区）养殖海域绿色技术效率逐年增加，呈现上升趋势，但平均绿色技术效率为0.708，具有一定潜力。其中，在时间维度上，10省（市、区）养殖海域绿色技术效率均值在0.600～0.850区间范围内，效率增速变化呈现明显的波动性特征；在空间维度上，10省（市、区）养殖海域绿色技术效率呈现东、中部高，北部和南部偏低的格局；在影响因素方面，养殖水域、养殖方式、地区经济发展水平有正向影响，养殖种类有负向影响。

Abstract:

In view of the problem of food security and the realistic need of sustainable development of mariculture areas, based on the basis of considering non-expected outputs and the data from 10 provinces and cities along China's coast from 2008 to 2018, this paper uses the stochastic frontier model in the form of transcendental logarithmic production function to measure the green technical efficiency of mariculture areas and analyze its influencing factors. It is found that the green technology efficiency of 10 provinces in 2008-2018 increases year by year, showing an upward trend, but the average green technology efficiency is 0.708, which has certain potential. Among them, in the time dimension, the average efficiency of green technology in 10 provinces and cities is in the range of 0.600~0.850, and the change of efficiency growth rate shows obvious volatility characteristics; in the spatial dimension, the green technology efficiency of 10 provinces shows the pattern of high in the East and Central, low in the North and South; and in terms of influencing factors, mariculture waters, mariculture methods, and the level of economic development have a positive effect, and mariculture specie has a negative effect.