数据论文 最新来稿(未评审) · 版本 ZH1
2009~2015年广东低碳农业绩效水平测度数据集
Evaluated data for low-carbon agricultural performances in Guangdong (2009 – 2015)
: 2017 - 12 - 05
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摘要&关键字
摘要:气候变化是当前国际社会普遍关注的焦点问题之一,也是人类面临的最为严峻的全球环境问题。本数据集借助农业碳排放模型和方向性距离函数(DDF)方法测算广东各地市低碳农业绩效水平,得出各地市农业碳排放总量、碳排放强度、方向距离函数值等。本数据集能为广东各地区制定低碳农业发展政策提供一定的数据支撑。
关键字:低碳农业;碳排放;方向性距离函数;广东
Abstract & Keywords
Abstract: Climate change is one of the major concerns of the international community today, and the most serious environmental problem faced by human society worldwide. The main objective of this study is to estimate the low-carbon agricultural performance of 21 cities of Guangdong. Agricultural carbon emission, carbon emission intensity, and directional distance function were estimated using agricultural carbon emission calculation models and directional distance functions. This dataset can provide references for policy formulation concerning the low carbon agricultural development in various regions of Guangdong.
Keywords: low-carbon agriculture; agricultural carbon emission; directional distance function; Guangdong
稿件与作者信息
刘晓珂
Liu Xiaoke
黄红星
Huang Hongxing
hhx8315@163.com
卢琨
Lu Kun
出版历史
参考文献列表中查看
中国科学数据
csdata
技术支持:印刻学术