中国制造业能源拥挤效应研究:基于RAM-DEA模型的分析

陈真玲, 赵伟刚, 李金铠

系统工程理论与实践 ›› 2019, Vol. 39 ›› Issue (7) : 1831-1844.

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中国科学院数学与系统科学研究院期刊网
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系统工程理论与实践 ›› 2019, Vol. 39 ›› Issue (7) : 1831-1844. DOI: 10.12011/1000-6788-2018-0102-14
论文

中国制造业能源拥挤效应研究:基于RAM-DEA模型的分析

    陈真玲1, 赵伟刚2, 李金铠3
作者信息 +

Research on energy congestion effects in China's manufacturing sector: An analysis based on RAM-DEA

    CHEN Zhenling1, ZHAO Weigang2, LI Jinkai3
Author information +
文章历史 +

摘要

能源拥挤效应是指产出随着能源要素投入的增加而减少的非正常经济现象.为了检验中国制造业是否存在能源拥挤效应，提高制造业低碳发展能力，根据产出异质性能源拥挤效应可分解为期望能源拥挤和非期望能源拥挤.利用RAM-DEA模型分别建立管理处置和自由处置下期望能源拥挤和非期望能源拥挤模型，对中国制造业28个子行业进行实证研究.研究结果表明：2000年以来中国制造业行业非期望能源拥挤效应的程度越来越严重，到2014年制造业行业存在大约96260万吨标准煤的能源浪费；大部分制造业行业的能源效率较低，且行业差异较大；从能源无效的来源来看，传统制造业主要是拥挤无效，先进制造业主要是技术无效，而传统化工行业和能源密集型产业是拥挤无效和技术无效兼而有之；近年来期望能源拥挤无论在发生频率上还是在数量上都有了一定的改善，这表明越来越多的制造业行业开始进行低碳技术创新.研究结论对制造业节能减排产业结构优化，产能过剩风险预警机制建立具有重要的政策启示.

Abstract

The energy congestion effects refer to the abnormal economic phenomenon that output decreases with the increase of energy input. In order to investigate energy congestion effects in manufacturing sector and improve its low-carbon operational capability. Energy congestion effects are decomposed into desirable energy congestion and undesirable energy congestion according to the heterogeneity of output. The RAM-DEA model is used to establish the desirable energy congestion and undesirable energy congestion models under natural disposability and managerial disposability respectively. An empirical study on 28 sub-industries of Chinese manufacturing sector is conducted. Empirical results show that:Undesirable energy congestion have occurred in the manufacturing sector and the degree of undesirable energy congestion is increasing since 2000. Especially in the year of 2014, the amount of 962.6 million tons of coal equivalent are wasted. Most of China's manufacturing industries have poor performance of energy efficiency and there are huge gaps among sub-industries. If energy inefficiency is decomposed into congestion inefficiency and pure technical inefficiency, the traditional manufacturing industries are mainly suffered from congestion inefficiency, and the advanced manufacturing industries are mainly suffered from pure technical inefficiency, while the traditional chemical industries and energy intensive industries are suffered from both congestion and pure technical inefficiency. Additionally, the occurrence of desirable energy congestion had been improved in terms of both frequency and quantity from 2000 to 2014, which indicates that more and more China's manufacturing industries are undergoing a low-carbon technology innovation. The research conclusions have important policy implications for energy-saving and emission reduction, industrial structure optimization, as well as risk warning mechanism establishment for the over-capacity in the manufacturing sector.

关键词

制造业 / 期望能源拥挤 / 非期望能源拥挤 / RAM-DEA

Key words

manufacturing sector / desirable energy congestion / undesirable energy congestion / range-adjusted measure data envelopment analysis (RAM-DEA)

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导出引用
陈真玲 , 赵伟刚 , 李金铠. 中国制造业能源拥挤效应研究:基于RAM-DEA模型的分析. 系统工程理论与实践, 2019, 39(7): 1831-1844 https://doi.org/10.12011/1000-6788-2018-0102-14
CHEN Zhenling , ZHAO Weigang , LI Jinkai. Research on energy congestion effects in China's manufacturing sector: An analysis based on RAM-DEA. Systems Engineering - Theory & Practice, 2019, 39(7): 1831-1844 https://doi.org/10.12011/1000-6788-2018-0102-14
中图分类号： F124.6   

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基金

国家自然科学基金（71704047，71601020，71473070）；中国博士后科学基金面上项目（2017M620821）；教育部人文社科规划项目（17YJC90015）；河南省社科规划项目（2018BJJ012）；河南财经政法大学青年拔尖人才资助计划
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