| Title |
Sectoral roles in greenhouse gas emissions and policy implications for energy utilization and carbon emissions trading: a case study of Beijing, China
|
|---|---|
| Published in |
SpringerPlus, August 2016
|
| DOI | 10.1186/s40064-016-2982-y |
| Pubmed ID | |
| Authors |
Jianping Ge, Yalin Lei, Qun Xu, Xibo Wang |
| Abstract |
In this study, a decomposition and emissions matrix is developed to identify the roles (giver or taker) played by the sectors in the greenhouse gas emissions for the economy of Beijing in China. Our results indicate that services were the most important emitter if we consider the total (direct and indirect) emissions. In addition to Construction, Scientific studies and technical services and Finance sectors of services were the largest takers. They have a large role in boosting greenhouse gas emissions throughout the economy of Beijing. As the basis and supporter of production activities, the electricity production and the transportation sectors were the greatest givers. More emphasis should be placed on using clean energy and carbon capture and storage technologies to reduce emissions within these sectors. Based on the roles played by these sectors in greenhouse gas emissions, some policy implications were proposed for energy utilization and carbon emissions trading. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 35% |
| Student > Master | 3 | 13% |
| Researcher | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 3 | 13% |
| Environmental Science | 2 | 9% |
| Energy | 2 | 9% |
| Business, Management and Accounting | 2 | 9% |
| Decision Sciences | 2 | 9% |
| Other | 6 | 26% |
| Unknown | 6 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 May 2017.
All research outputs
#7,527,793
of 22,971,207 outputs
Outputs from SpringerPlus
#502
of 1,854 outputs
Outputs of similar age
#128,585
of 364,923 outputs
Outputs of similar age from SpringerPlus
#77
of 230 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,854 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 230 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.