城市非农用地碳排放驱动因素的PDA模型  

PDA Model Decomposing of Driving Forces of CO_2 Emissions of Urban Non-agricultural Land from the Perspective of the Production System

作　　者：崔玮[1] 王三银[2] 

机构地区：[1]江苏大学财经学院,江苏镇江212013 [2]南京大学商学院,江苏南京200093

出　　处：《运筹与管理》2016年第2期156-164,共9页Operations Research and Management Science

基　　金：国家自然科学基金资助项目(71203097);国家社会科学基金资助项目(08BJY014)

摘　　要：本文从生产系统角度构建全面分解城市非农用地碳排放驱动因素的PDA模型。基于非参数距离函数和环境DEA生产技术,借助生产分解分析的方法将中国28个省区市的城市非农用地碳排放的驱动因素分解到三个层次。结果表明,全国水平的技术进步、农用地利用结构碳强度、潜在非农用地利用强度、期望产出和非期望产出绩效是正向驱动;规模效应、技术效率、资本投入绩效、劳动投入绩效和非农用地投入绩效是负向驱动。三大区域的正负驱动因素与之稍有不同。因此,提高资源的投入绩效和技术效率是缓解城市非农用地碳排放的关键。This paper fully reveals the driving forces of CO2 emissions of the urban non-agricultural land based on the PDA model from the perspective of the production system. Based on the non-parameter distance function and the environmental DEA production technology, it decomposes the driving forces of the urban non-agricultural land of the China＇ s 28 provinces into three levels by the Index Decomposition Analysis. The results show that the pos- itive driving forces are the technical progress, the carbon intensity of the agricultural land use structure, the utili- zation intensity of the potential non-agricultural land, the expected outputs and the unexpected outputs perform- ance ; the negative driving forces are the scale effect, the technical efficiency, the investment performance of the capital stock, the labor and the non-agricultural land on the national level while it is a slightly different in driving forces in three large regions. So it is crucial to alleviate CO2 emissions of the urban non-agricultural land by improving the input performance and the technical efficiency of the input resources utilization.

关 键 词：运筹学 单目标规划 PDA模型 DEA技术 碳排放 城市非农用地 

分 类 号：F062.1[经济管理—政治经济学]