工业工程与管理
工業工程與管理
공업공정여관리
Industrial Engineering and Management
2015年
5期
14-20
,共7页
田刚%孙立成%程发新%郭本海
田剛%孫立成%程髮新%郭本海
전강%손립성%정발신%곽본해
物流业%节能减排效率%地区差异%影响因素
物流業%節能減排效率%地區差異%影響因素
물류업%절능감배효솔%지구차이%영향인소
logistics industry%efficiency of energy-saving and emission-reducing%regional differences%affect factors
物流业是高能耗及高排放行业,其节能减排需引起高度重视。将能源投入与污染物纳入全要素生产率分析框架,构建了基于投入导向与产出导向的 DEA 模型,测度了2006~2013年间中国29个省份物流业的节能减排效率和潜力,并对重点地区进行了评价。研究发现:中国物流业节能效率与减排效率都较低,年均分别为0.53与0.66。西部节能效率最低,中部减排效率最低,东部的节能效率与减排效率均最高。影响因素回归结果显示:研发强度、外商直接投资对物流业节能减排效率有正面影响,工业化程度、国有率则有负面影响。物流业节能减排效率与人均GDP 呈现倒 U 型曲线,实现物流业增长与环境绩效改善的双赢发展极具挑战性。
物流業是高能耗及高排放行業,其節能減排需引起高度重視。將能源投入與汙染物納入全要素生產率分析框架,構建瞭基于投入導嚮與產齣導嚮的 DEA 模型,測度瞭2006~2013年間中國29箇省份物流業的節能減排效率和潛力,併對重點地區進行瞭評價。研究髮現:中國物流業節能效率與減排效率都較低,年均分彆為0.53與0.66。西部節能效率最低,中部減排效率最低,東部的節能效率與減排效率均最高。影響因素迴歸結果顯示:研髮彊度、外商直接投資對物流業節能減排效率有正麵影響,工業化程度、國有率則有負麵影響。物流業節能減排效率與人均GDP 呈現倒 U 型麯線,實現物流業增長與環境績效改善的雙贏髮展極具挑戰性。
물류업시고능모급고배방행업,기절능감배수인기고도중시。장능원투입여오염물납입전요소생산솔분석광가,구건료기우투입도향여산출도향적 DEA 모형,측도료2006~2013년간중국29개성빈물류업적절능감배효솔화잠력,병대중점지구진행료평개。연구발현:중국물류업절능효솔여감배효솔도교저,년균분별위0.53여0.66。서부절능효솔최저,중부감배효솔최저,동부적절능효솔여감배효솔균최고。영향인소회귀결과현시:연발강도、외상직접투자대물류업절능감배효솔유정면영향,공업화정도、국유솔칙유부면영향。물류업절능감배효솔여인균GDP 정현도 U 형곡선,실현물류업증장여배경적효개선적쌍영발전겁구도전성。
Logistics industry is the main area of energy consumption and carbon emissions.By putting the non-consensual output into total factor production framework and based on the input and output-oriented DEA model,the efficiency and potential of energy-saving & emission-reducing of logistics industry from 2006 to 2013 is measured.The results reveal that logistics industry has lower efficiency on energy-saving potential and emission-reducing.The annual average efficiencies are 0.53 and 0.66 respectively.There is a downtrend in efficiency of emission-reducing.The west region has the lowest efficiency on energy-saving;the middle has the lowest efficiency on carbon emissions;and the northeast has the highest efficiencies both on energy consumption and carbon emissions.The affect factors regression results show that there is an inverted U-shaped curve relationship between efficiency and GDP per capita.R&D intensity and FDI improve efficiency on energy-saving and emission-reducing,while industrialization and the ownership structure have negative effects on the efficiency.