Measuring the Demand Connectedness among China’s Regional Carbon Markets
Bibliographic Data
| ID | 15469159 |
|---|---|
| Authors | Li-Yang Guo (0000-0002-7192-0272, Chongqing University), Chao Feng (0000-0003-2327-1981, Chongqing University, corresponding author) |
| Year | 2022 |
| Volume | 19 |
| Issue | 21 |
| Pages | 14053-14053 |
| Publication date | 2022-10-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph192114053 |
| PMID | 36360931 |
| OpenAlex | W4307948228 |
| Language | EN |
| References cited | 46 |
After years of emission trading in segmented pilots, China operates a unified market in the power system and plans to involve more industries in the coming future. The aim of this study is to detect the commonalities of transaction behaviors across China's regional carbon pilots, so as to provide an empirical basis for a future multi-sectoral expansion of national trading. Based on a dataset of daily trading volume in seven regional markets during 2014-2021, the empirical results from connectedness measures show that the total demand connectedness ranges from 10% to 24%, indicating the existence of interactions among China's regional markets. This not-so-wide range of fluctuation usually shows a trend of rising first and then falling within each year, during which the upward trend is basically related to the accounting, verification and compliance of allowances. After these time nodes, the total connectedness declines. In addition, the directional connectedness could help clarify the specific roles that regional markets play in the variations of total demand connectedness when facing the shocks of these time nodes. Meanwhile, the frequency decomposition reveals that a longer-term component of more than 10 days dominates the connectedness. Based on these findings, some policy implications are provided alongside
Business · China · Database transaction · Econometrics · Economic geography · Economics · Geography · Social connectedness · Climate Change Policy and Economics · Computer Science · Energy, Environment, Economic Growth · Market Dynamics and Volatility
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| Citation velocity | historical |
|---|---|
| Highly cited | No |