首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于扩展的Kaya恒等式的中国农业碳排放驱动因素分析
作者姓名:戴小文  何艳秋  钟秋波
作者单位:1. 四川农业大学经济管理学院, 成都 611130; 2. 四川农业大学四川省农村发展研究中心, 成都 611130; 3. 四川师范大学文科学报编辑部, 成都 610066
基金项目:国家社会科学基金(14XGL003)、四川省科技厅软科学项目(2015ZR0216)、四川省社科规划统计发展专项(SC14TJ18)和四川省教育厅科研项目(W14243226)资助
摘    要:理清影响农业低碳发展的关键因素有助于农业现代化的顺利实现.本研究对Kaya恒等式进行扩展,将农业碳排放分解为一般技术、农业低碳技术、农村生活水平、间接城镇化与总人口变动等因素,通过差额分析因素分解方法分析以上因素对中国农业碳排放的驱动方向与贡献率,发现农村生活水、城镇化以及总人口变动因素正向影响农业碳排放变动,而一般技术与农业低碳技术因素则负向影响农业碳排放变动.从各因素变动引起农业碳排放的无方向贡献看有下列关系:农村生活水平效应农业低碳技术效应间接城镇化效应一般技术效应总人口变动效应.

关 键 词:农业碳排放    Kaya恒等式    驱动因素    因素分解
收稿时间:2014-12-09
修稿时间:2015-01-13

Analysis of CO2 emission driving factors in China's agriculture based on expanded Kaya identity
Authors:DAI Xiaowen  HE Yanqiu  ZHONG Qiubo
Institution:1. Faculty of Economics and Management, Sichuan Agricultural University, Chengdu 611130, China; 2. Sichuan Center for Rural Development Research, Sichuan Agricultural University, Chengdu 611130, China; 3. Editorial Department of Social Science Journal, Sichuan Normal University, Chengdu 610066, China
Abstract:Agricultural modernization is a transition process from traditional agriculture to modarn agriculture, and the low-carbon agricultural way is an important approach in this transition. This study decomposes the CO2 emission into five contributory factors based on an expanded Kaya identity. The five factors are general technology, agricultural low-carbon technology, rural affluence, indirect urbanization, and total population scale. With the incremental analysis we find that the rural affluence, urbanization, and total population scale are driving the agricultural CO2 emission positively, while the general technology and agricultural low-carbon technology are driving the agricultural CO2 emission negatively. Contribution without direction to total agricultural CO2 emission caused by alteration of each factor is exhibited as: rural affluence influence > agricultural low-carbon technology influence > indrect urbanization influence > general technology influence > total population scale influence.
Keywords:agricultural CO2 emission" target="_blank">2 emission')">agricultural CO2 emission                                                                                                                        Kaya identity                                                                                                                        driving factor                                                                                                                        factor decomposition
本文献已被 CNKI 等数据库收录!
点击此处可从《》浏览原始摘要信息
点击此处可从《》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号