城市非农用地碳排放驱动因素的PDA模型

doi:10.12005/orms.2016.0059

摘要/Abstract

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。

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

Abstract: 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 positive driving forces are the technical progress, the carbon intensity of the agricultural land use structure, the utilization intensity of the potential non-agricultural land, the expected outputs and the unexpected outputs performance; 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.

Key words: operational research, single objective programming, PDA model, DEA technology, CO₂ emission, urban non-agricultural land

中图分类号:

F062.1

崔玮,王三银. 城市非农用地碳排放驱动因素的PDA模型[J]. 运筹与管理, 2016, 25(2): 156-164.

CUI Wei, WANG San-ying. PDA Model Decomposing of Driving Forces of CO₂ Emissions of Urban Non-agricultural Land from the Perspective of the Production System[J]. Operations Research and Management Science, 2016, 25(2): 156-164.

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