沈阳工业大学学报（社会科学版）
瀋暘工業大學學報（社會科學版）
침양공업대학학보（사회과학판）
Journal of Shenyang University of Technology (Social Science Edition)
2015年
5期
414-419
,共6页
新常态%装备制造业%数据包络分析(DEA)%技术效率%投入冗余%资源利用
新常態%裝備製造業%數據包絡分析(DEA)%技術效率%投入冗餘%資源利用
신상태%장비제조업%수거포락분석(DEA)%기술효솔%투입용여%자원이용
new normal%equipment manufacturing industry%Data Envelopment Analysis ( DEA)%technical efficiency%input redundancy%resource utilization
新常态下提质增效是装备制造业发展的新模式. 通过突破传统投入指标,引入能源指标,更全面、客观地反映装备制造业全行业和子行业技术效率与投入冗余的实际水平. 以辽宁省为例进行实证分析,结果表明:通过引入能源指标的DEA技术效率测算值反映出普遍存在子行业的纯技术效率高于规模效率现象,但辽宁省装备制造业全行业技术效率仍是非DEA有效;纯技术效率值为1的子行业,投入冗余差值比均为0;金属制造业是七个子行业中技术效率和投入冗余表现最差的行业,而通信制造业表现最好. 该研究进一步客观地展现各子行业资源利用及投入冗余的差异.
新常態下提質增效是裝備製造業髮展的新模式. 通過突破傳統投入指標,引入能源指標,更全麵、客觀地反映裝備製造業全行業和子行業技術效率與投入冗餘的實際水平. 以遼寧省為例進行實證分析,結果錶明:通過引入能源指標的DEA技術效率測算值反映齣普遍存在子行業的純技術效率高于規模效率現象,但遼寧省裝備製造業全行業技術效率仍是非DEA有效;純技術效率值為1的子行業,投入冗餘差值比均為0;金屬製造業是七箇子行業中技術效率和投入冗餘錶現最差的行業,而通信製造業錶現最好. 該研究進一步客觀地展現各子行業資源利用及投入冗餘的差異.
신상태하제질증효시장비제조업발전적신모식. 통과돌파전통투입지표,인입능원지표,경전면、객관지반영장비제조업전행업화자행업기술효솔여투입용여적실제수평. 이요녕성위례진행실증분석,결과표명:통과인입능원지표적DEA기술효솔측산치반영출보편존재자행업적순기술효솔고우규모효솔현상,단요녕성장비제조업전행업기술효솔잉시비DEA유효;순기술효솔치위1적자행업,투입용여차치비균위0;금속제조업시칠개자행업중기술효솔화투입용여표현최차적행업,이통신제조업표현최호. 해연구진일보객관지전현각자행업자원이용급투입용여적차이.
The quality and efficiency are a new mode for the development of equipment manufacturing industry under the new normal. Through breaking the traditional input index by introducing energy indicator, the actual level of technical efficiency and input redundancy is reflected in the whole industry and sub-sectors of the equipment manufacturing industry more comprehensively and more objectively. Taking a case of Liaoning Province, it is shown that through the introduction of energy indicator of DEA technical efficiency, the pure technical efficiency universally exists in the sub-sectors is higher than the efficiency of the scale is reflected, but the technical efficiency in the whole industry of equipment manufacturing industry in Liaoning Province is still non DEA effective; the sub-sectors with the pure technical efficiency value of 1 , have the input redundancy ratio 0; the metal manufacturing industry performs worst among the 7 sub-sectors in terms of technical efficiency and input redundancy, while the performance of the communication manufacturing industry is the best. Those objectively reveal the difference between the various sub-sectors of the resource utilization and the redundancy of inputs.
