四川省农业碳排放与经济增长的演变特征及影响因素研究  

Research on Characteristics of Influence Factors of Agricultural Carbon Emissions and Economic Growth in Sichuan

作　　者：王承玲 李新[2] 施炎 单倩倩 WANG Chengling;LI Xin;SHI Yan;SHAN Qianqian(School of Tourism Geography and Science,Yunnan nolanal University,Kunming 650000;School of Resource and Environmental Engineering,Mianyang Teachers＇s College,Mianyang 621006)

机构地区：[1]云南师范大学旅游地理与科学学院,云南昆明650000 [2]绵阳师范学院资源环境工程学院,四川绵阳621006

出　　处：《绵阳师范学院学报》2018年第8期118-123,共6页Journal of Mianyang Teachers＇ College

基　　金：四川省教育厅重点科研项目"低碳经济模式下四川省能源结构及碳排放时空演变特征研究"(13ZA0113)

摘　　要：采用政府间气候变化专门委员会(IPCC)推荐的碳排放模型测算四川省2000-2015年农业碳排放量和碳排放强度;应用Tapio模型判断区域内农业碳排放与经济增长的脱钩状态,评估农业经济低碳发展水平.研究结果表明:这16年间四川省农业碳排放量与碳排放强度呈上升趋势,年均增长率分别是6.27%、1.26%;农业碳排放与经济增长的关系是大部分时间处于"不理想状态—相对理想状态",2012年则呈现出完全脱钩的"理想状态".The methodology in GHG inventory guidelines provided by the intergovernmental panel on Climate Change（ IPCC）,was used to estimate the agricultural carbon emissions and carbon emission intensity from 2000 to2015 in Sichuan province. Using Tapio＇s decoupling model to estimate the state of decoupling between agricultural carbon emissions and GDP,to evaluate the development level of low carbon agriculture economics. The results showed that the 16 years of carbon emissions and carbon emission intensity of the overall upward trend with an average annual growth rate is 6. 27%,1. 26% overall; decoupling state is ＂ not the ideal state-a relatively ideal state＂ 2000-2003 is not ideal,2004-2015 showed a relatively ideal state,especially in 2012 showed a strong ideal state decoupling.

关 键 词：低碳发展 IPCC模型 Tapio模型 

分 类 号：F323.22[经济管理—产业经济]