长江经济带农业绿色生产效率及其时空分异特征研究

STUDY ON AGRICULTURAL GREEN PRODUCTION EFFICIENCY AND ITS SPATIAL TEMPORAL DIFFERENTIATION CHARACTERISTICS IN THE YANGTZE RIVER ECONOMIC BELT

关键词:  农业绿色生产效率全要素生产率Global Malmquist Luenberger指数MinDS模型长江经济带

Key words:  agricultural green production efficiency  agricultural green total factor productivity  Global Malmquist Luenberger index  MinDS model  Yangtze River Economic Belt

摘要:

［目的］从静态分析和动态分析两个方面，阐释长江经济带农业绿色生产效率和农业绿色全要素生产率的时空分异特征以及生产率增长来源，以期为提高长江经济带农业绿色发展质量提供科学决策依据。［方法］文章基于资源环境约束的角度，利用MinDS模型和Global Malmquist Luenberger指数相结合的方法，测算长江经济带农业绿色生产效率和农业绿色全要素生产率，并将农业全要素生产率变化分解为纯技术效率变化（PEC）、纯技术变化（PTC）、规模效率变化（SEEC）和规模技术变化（SETC）4个部分。［结果］（1）长江经济带农业绿色生产效率水平较高，且呈不断增长趋势，下游地区的农业绿色生产效率高于中、上游，且中、上游与下游地区的差距不断拉大； （2）长江经济带农业绿色全要素生产率增长较快，以3年为1个周期，呈现波动式上升趋势，其增长主要源于纯技术进步和规模技术提高； （3）长江经济带下游农业绿色全要素生产率增长率最高，上游次之，中游最低，其中，下游农业绿色全要素生产率增长主要源于纯技术进步，中游是纯技术效率改进、纯技术进步和规模技术提高共同作用的结果，上游则源于纯技术效率改进、纯技术进步和规模效率提高。［结论］长江经济带上、中、下游三大区域的农业绿色发展水平和发展能力存在较大差异，需制定差异化政策，以调整农业增长模式，促进农业转型升级，实现高质量发展。

Abstract:

In order to scientifically assess the quality of agricultural green development in the Yangtze River Economic Belt, this paper uses the MinDS model and the Global Malmquist Luenberger index to measure agricultural green production efficiency and agricultural green total factor productivity in the Yangtze River Economic Belt, and decompose the changes in agricultural total factor productivity into pure technologies efficiency change (PEC), pure technology change (PTC), scale efficiency change (SEEC) and scale technology change (SETC). The main conclusions are as follows. ①The agricultural green production efficiency in the Yangtze River Economic Belt is relatively high, and it has been showing a growing trend. The agricultural green production efficiency in the downstream is higher than that in the midstream and upstream, and the gap is increasing. ②The agricultural green factor productivity has grown rapidly, showing a fluctuating upward trend with a three year cycle. Its growth is mainly due to pure technological progress and scale technology improvement. ③The growth rate of agricultural green total factor productivity in the downstream is the highest, the upstream is second, and the midstream is the lowest. The growth of the agricultural green total factor productivity of the downstream is mainly due to pure technological progress. The midstream is the result of the combined effect of pure technical efficiency improvement, pure technological progress and scale technology improvement. The upstream comes from pure technical efficiency improvement, pure technological progress and scale efficiency improvement. There are huge differences in the agricultural green development level and development capabilities of the upstream, the midstream and the downstream of the Yangtze River Economic Belt. Differentiated policies need to be formulated to adjust the agricultural growth model, promote agricultural transformation, and achieve high quality development.