Scenario prediction and decoupling analysis of carbon emission in Jiangsu Province, China
Jia Dong, Cunbin Li
| Year of publication: |
2022
|
|---|---|
| Authors: | Dong, Jia ; Li, Cunbin |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 185.2022, p. 1-11
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| Subject: | Carbon emission | Decoupling | GWO | Model comparison | Scenario prediction | SVR | Treibhausgas-Emissionen | Greenhouse gas emissions | China | Szenariotechnik | Scenario analysis | Prognoseverfahren | Forecasting model | Luftverschmutzung | Air pollution | Prognose | Forecast | Umweltbelastung | Pollution | Emissionshandel | Emissions trading |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2022.122074 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014233805