摘要
基于SVAR模型,选取2000-2017年济南市和莱芜市的种植业数据将其合并计算,测算了其碳足迹,并分析了影响碳足迹的因素,结果表明:农业人口规模对碳足迹具有长期稳定的抑制作用,农产品进出口贸易水平在短期内对碳足迹有较强的抑制作用,种植业经济发展规模对碳足迹的影响贡献度最大。接着运用EKC曲线,发现种植业经济发展规模与碳足迹之间呈现倒"N"型关系,并通过拐点分析证实了当发展规模小于5.29%时,碳足迹随规模的增加而递减。在此基础上提出了优化提升农产品进出口贸易水平、合理配置农业人口规模与全力提升种植业经济发展质量的建议。
Based on the SVAR model,this paper selects the planting data of Jinan and Laiwu from 2000 to 2017,and combines them to calculate their carbon footprint and analyzes the factors affecting the carbon footprint.The results show that:The scale of the agricultural population has a long-term and stable inhibition effect on carbon footprint.The level of agricultural product import and export trade has a strong inhibitory effect on carbon footprint in the short term.At the same time,the scale of agricultural economic development contributes the most to the impact of carbon footprint.Then using the EKC curve,it is found that there is an inverted "N" relationship between the economic development scale of the crop industry and the carbon footprint,and it is confirmed by the inflection point analysis that when the development scale is less than 5.29%,the carbon footprint decreases with the increase of the scale.On this basis,it puts forward suggestions for optimizing the level of import and export trade of agricultural products,rationally arranging the scale of the agricultural population and improving the quality of economic development of crop production.
作者
杨滨键
田景仁
孙红雨
YANG Binjian;TIAN Jingren;SUN Hongyu(Business School, Guizhou Minzu University, Guiyang Guizhou 550025, China;School of Economics and Management, Northeast Forestry University, Harbin Heilongjiang 150040, China)
出处
《生态经济》
北大核心
2019年第8期120-127,共8页
Ecological Economy
基金
贵州民族大学2018年人文社会科学一般课题“深度贫困民族地区返贫预警机制研究”
关键词
碳足迹
贸易水平
规模
carbon footprint
trade level
scale
作者简介
第一作者:杨滨键(1990-),男(土家族),贵州遵义人,硕士,讲师,研究方向为农业经济学、资源环境经济学、碳会计。E-mail:yangbj919@163.com;通讯作者:田景仁(1962-),男(土家族),贵州思南人,博士,教授,高级会计师,硕士研究生导师,研究方向为会计学、财务管理、少数民族经济。E-mail: 2624819996@qq.com.
