版权说明 操作指南
首页 > 成果 > 详情

Drivers of agricultural carbon emissions in Hunan Province, China

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Tian, Jianxiang;Yang, Huilin;Xiang, Pingan;Liu, Dengwang;Li, Lin*
通讯作者:
Li, Lin
作者机构:
[Tian, Jianxiang] Hunan Agr Univ, Coll Continuing Educ, Changsha 410128, Hunan, Peoples R China.
[Yang, Huilin] Hunan Agr Univ, Oriental Sci & Technol Coll, Changsha 410128, Hunan, Peoples R China.
[Xiang, Pingan] Hunan Agr Univ, Coll Business, Changsha 410128, Hunan, Peoples R China.
[Liu, Dengwang] Hunan Agr Univ, Upland Crop Res Inst, Changsha 410128, Hunan, Peoples R China.
[Li, Lin] Hunan Agr Univ, Coll Agron, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Li, Lin] Hunan Agr Univ, Coll Agron, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Agricultural carbon emissions;Decoupling theory;Energy consumption;Livestock production;Multiple regression analysis;Principal component analysis
期刊:
Environmental Earth Sciences
ISSN:
1866-6280
年:
2016
卷:
75
期:
2
页码:
1-17
机构署名:
本校为第一且通讯机构
院系归属:
农学院
商学院
继续教育学院
东方科技学院
摘要:
This paper estimates carbon emissions from agricultural production in China’s Hunan Province during the period from 1998 to 2012. It also analyzes trends in the development of agricultural carbon emissions and the decoupling relationship between carbon emissions and the agricultural output of Hunan. In this study, emissions from two key segments of the agricultural sector were quantified: (1) crop production and (2) livestock and poultry production (singular). A combined method of principal component analysis (PCA), multiple regression analysis, and decoupling analysis was employed to assess the drivers of agricultural carbon emissions. This showed that there was a weak and unstable decoupling relationship between agricultural carbon emissions and their output value during the period of study. The PCA revealed that two main factors—urbanization rate and nitrogen fertilization per acre—explained 92.51 % of the variation in the 11 factors that affected carbon emissions from crops. Also, two main factors (i.e., agriculture per capita GDP and the ratio of beef production to total livestock production) explained 86.27 % of the variation in nine factors that affected carbon emissions from the livestock and poultry industry. Using the PCA scores as independent variables, a multiple regression analysis of carbon emissions from the crop industry and the livestock and poultry industry showed the following patterns. (1) Theoretically, given a 10 % reduction in nitrogen fertilization per acre, crop carbon emissions would decrease by 519 units. If the rate of urbanization were to increase by 1 %, crop carbon emissions would increase by 83 units;(2) similarly, a 1 % reduction in the beef: total livestock and poultry production ratio would reduce carbon emissions from that industry by 329 units, and with “agricultural per capita GDP”growth of 1 unit, those emissions would increase by 0.354 units. The results of this study contribute to evaluating the sustainability of agricultural production in the region, and they provide a foundation of knowledge for future development of related agricultural mitigation policy and low-carbon agricultural technology. ©2015, Springer-Verlag Berlin Heidelberg.

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com