摘要
立足于全国性大样本的中国家庭追踪调查(China Family Panel Studies,CFPS)数据库,探究微观农户视角农业生产效率,为我国农业转型升级、提升全要素生产率提供思考和建议。文章通过建构CCR(Charnes,Cooper&Rhodes)、BCC(Banker,Charnes&Cooper)、SBM(Slacks-Based Model)和技术优化的Malmquist-Luenberger指数模型,在比较分析的基础上,最终得到微观农户层面的综合技术效率值、纯技术效率值、农户效率值和农户绿色全要素生产率水平值。研究发现:基于不同模型计算的效率值存在差异,BCC计算的纯技术效率值是影响农户层微观农业生产效率值的主要因素,而SBM模型要优于CCR、BCC模型,更为适合政府政策的制定和优化;基于技术优化的Malmquist-Luenberger指数法是微观农业生产效率测度的首选方法,具有模型选择多样、适用场景丰富和负向性产出处理方便等特点;环境因素在当前农业绿色全要素生产率的评价中,主要起到了消极的抑制作用,降低了环境变量的负外部性产出,成为了当前微观农户层绿色全要素生产提升所面临的关键性问题之一;环境非期望产出的主客观结合衡量方式是农业绿色全要素生产率环境因素测度的重要方式,在实际应用中可以根据研究目的和数据的可获得性综合选择使用。
Based on a large national sample of the China Family Panel Studies(CFPS)database,the study will to provide some thoughts and suggestions for the transformation and upgrading of China’s agriculture,the enhancement of total factor productivity by exploring the agricultural production efficiency from the micro-farmers’perspective.By constructing the models of Charnes,Cooper&Rhodes(CCR),Banker,Charnes&Cooper(BCC),Slacks-Based Model(SBM)and technology optimization Malmquist-Luenberger index,it finally obtained the comprehensive technical efficiency value,pure technical efficiency value,farm household efficiency value and green total factor productivity level value at the micro-farm household level based on the comparative analysis.It was found that:the comparison of the measures based on different models found that although there are differences in the calculated efficiency values,the pure technical efficiency values calculated by BCC are the main factors affecting the micro agricultural production efficiency values at the farmer level,the SBM model should optimize the CCR,BCC models,and more suitable for Chinese government policy formulation and optimization;the technology optimization Malmquist-Luenberger index method is the micro agricultural production efficiency measurement method of choice,with the characteristics of diverse model selection,rich application scenarios and convenient processing of negative outputs;environmental factors in the current evaluation of agricultural green total factor productivity,mainly play a negative inhibitory role,reducing the negative externalities of environmental variables output,become one of the key issues facing the current micro farm layer green total factor production enhancement;the combination of subjective and objective measures of environmental non-desired output is an important way to measure environmental factors of agricultural green total factor productivity,it can be used in practical applications based on a combination of research objectives and data availabil
作者
程永生
张德元
汪侠
CHENG Yongsheng;ZHANG Deyuan;WANG Xia(School of Business,Fuyang Normal University,Fuyang,Anhui 236037,China;Academy of Strategies for Innovation and Development,Anhui University,Hefei 230601,China;School of Economics,Fuyang Normal University,Fuyang,Anhui 236037,China)
基金
The Philosophy and Social Science Foundation of Anhui Province(AHSKQ2022D039)。
