| The measurement and decomposition of agricultural carbon emissions in Northeast China based on LMDI model |
|
View Fulltext View/Add Comment Download reader |
| |
| DOI：10.7606/j.issn.1000-7601.2017.04.22 |
| Key Words: agricultural carbon emissions LMDI model driving effects northeast China |
| Author Name | Affiliation | | LI Zheng-tong | School of Economics & Management, Nanchang University, Nanchang, Jiangxi 330031, China
Econometric Research Institute, Nanchang University, Nanchang, Jiangxi 330031, China | | BAI Cai-quan | The Center for Economic Research, Shandong University, Shandong, Jinan250100, China | | XIAO Wei-wei | School of Economics & Management, Nanchang University, Nanchang, Jiangxi 330031, China |
|
| Hits: 2026 |
| Download times: 829 |
| Abstract: |
| This study measured the agricultural carbon emissions in Northeast China and adopted LMDI (logarithmic mean Divisia index) model to dissect their driving effects into carbon emission intensity, agricultural income, employment structure and gross population. The results showed that the agricultural carbon emissions in Heilongjiang, Jilin and Liaoning increased year by year during 1996—2013, their growth rates were 72%, 63% and 52% respectively, and average annual growth rates were 3.23%, 2.92% and 2.51% respectively. The total emissions and the growth rate in Heilongjiang were the largest. From the point of internal structure of agricultural carbon emissions, the carbon sources were mainly from agricultural capital and agricultural land use which accounts for 58.65% of total emissions, followed by livestock breeding which accounts for 22.59% of total emissions. In addition, the effect of carbon emission intensity had a negative impact on agricultural carbon emissions and this impact was greatest in Heilongjiang, followed by Liaoning and then Jilin. During the period of 1996 to 2013, the agricultural carbon emissions in Heilongjiang, Jilin and Liaoning driven by agricultural income effect respectively increased by 14.8057,8.8317 and 8.391 million tons. However, the effect of employment structure had a positive impact on agricultural carbon emissions in Heilongjiang and Liaoning, but a significantly negative impact on that in Jilin. The effect of the gross population had a positive effect on agricultural carbon emissions in the three provinces, driving the agricultural carbon emission in Liaoning increased by 510,200 tons. |
|
|
|