福建省出口贸易的隐含碳排放研究  

An Empirical Analysis of the Export Trade of Fujian Province on Embodied CO_2 Emissions

作　　者：许美菊[1] 何均琳[1] 刘伟平[1] XU Mei- ju HE Jun-lin LIU Wei-ping(College of Economics,Fujian Agriculture and Forestry University,Fuzhou 350002,Chin)

机构地区：[1]福建农林大学经济学院,福州350002

出　　处：《科技和产业》2017年第4期35-39,47,共6页Science Technology and Industry

基　　金：福建省软科学项目(2014R0019)

摘　　要：利用投入产出原理,结合瓦尔拉.卡塞尔模型,估算福建省行业的出口碳排放量及强度,并建立福建省出口贸易的LMDI模型,分解行业出口碳排放的影响因素。研究结果表明,出口规模对出口碳排放影响程度是最大且增加碳排放,结构、技术变动效应表现不相上下;并且机械设备制造业受规模、结构、技术变动影响最大,纺织及皮革产品制造业次之。因此,优化出口贸易结构、推广使用低碳技术可以有效降低福建省的出口碳排,增强福建省出口的优势。In. this paper. We use input-output principle combined with Walras - Cassel model to estimate the carbon, emission, of export goods of Fujian. Province. Based on. the average index of Di formula, we build LMDI model to decompose factors affecting carbon, emissions of export indus-try into three effects. Results show that the impact of reducing carbon. emissions, technology, export structure and export＇s scale on. carbon, emis-sions of Fujian. Province industry is different. Export＇s scale is the most critical factors on. impact of carbon, emissions, structure and technology are about the same degree on. impact of carbon, emissions. Machinery and equipment manufacturing＇s the impact of scale, technology, structure is the largest, textiles and leather products manufacturing followed by machinery and equipment manufacturing. We can. get conclusion, that optimizing export structure and promoting low-carbon, technologies can. reduce exports＇ carbon, emissions of Fujian. Province, which will enhance the export＇s advantages.

关 键 词：出口 隐含碳排放 投入产出分析 因素分解 

分 类 号：F016[经济管理—政治经济学]