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作 者:杨雪[1] 马粟粟 卢亚丽[1] YANG Xue;MA Susu;LU Yali(North China University of Water Resources and Electric Power,Zhengzhou Henan 450046,China)
机构地区:[1]华北水利水电大学
出 处:《生态经济》2019年第6期66-71,共6页Ecological Economy
基 金:2018年河南省高等学校哲学社会科学应用研究重大项目“河南省创新型创业生态系统构建及可持续机制研究”(2018-YYZD-10);横向课题“一带一路背景下河南中原高速公路股份有限公司国际化发展及创新路径研究”
摘 要:利用我国"一带一路"背景下十个重点内陆省市2012—2016年的物流数据,将非期望产出的二氧化碳排放量作为投入变量之一,构建碳排放约束下的物流效率评价体系,运用三阶段DEA模型对剔除环境因素和随机干扰前后的地区物流效率进行评价。研究表明:环境因素和随机干扰对效率的评估具有重要影响;考虑碳排放的地区物流业发展不均衡,安徽、湖南和河南三省的物流效率最高达到效率前沿面,其余地区均存在物流业投入过剩、产出不足等问题;部分地区应科学规划物流业发展规模,合理配置物流资源降低碳排放。Using the logistics data of the ten key inland provinces and cities in 2012-2016 in the context of China’s"The Belt and Road", we will use the carbon dioxide emissions of undesired output as one of the input variables to build a logistics efficiency evaluation system under the constraint of carbon emission. The three-stage DEA model evaluates regional environmental efficiency before and after environmental factors and random disturbances. The research shows that environmental factors and random disturbances have an important impact on the assessment of efficiency; the development of logistics industry in regions with carbon emissions is uneven, and the logistics efficiency of Anhui, Hunan and Henan provinces reaches the efficiency front, and the rest of the region has excessive investment in logistics, or problems such as insufficient output; some regions should scientifically plan the scale of development of the logistics industry and rationally allocate logistics resources to reduce carbon emissions.
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