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- Publisher Website: 10.1016/j.ecolind.2016.04.022
- Scopus: eid_2-s2.0-84964543327
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Article: CO2, economic growth, and energy consumption in China's provinces: Investigating the spatiotemporal and econometric characteristics of China's CO2 emissions
| Title | CO2, economic growth, and energy consumption in China's provinces: Investigating the spatiotemporal and econometric characteristics of China's CO2 emissions |
|---|---|
| Authors | |
| Keywords | China CO2 emissions Economic growth Energy consumption Panel data model Spatiotemporal and econometric characteristics |
| Issue Date | 2016 |
| Citation | Ecological Indicators, 2016, v. 69, p. 184-195 How to Cite? |
| Abstract | This study addresses the spatiotemporal variations at play in China's CO |
| Persistent Identifier | http://hdl.handle.net/10722/369283 |
| ISSN | 2023 Impact Factor: 7.0 2023 SCImago Journal Rankings: 1.633 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wang, Shaojian | - |
| dc.contributor.author | Zhou, Chunshan | - |
| dc.contributor.author | Li, Guangdong | - |
| dc.contributor.author | Feng, Kuishuang | - |
| dc.date.accessioned | 2026-01-22T06:16:19Z | - |
| dc.date.available | 2026-01-22T06:16:19Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.citation | Ecological Indicators, 2016, v. 69, p. 184-195 | - |
| dc.identifier.issn | 1470-160X | - |
| dc.identifier.uri | http://hdl.handle.net/10722/369283 | - |
| dc.description.abstract | This study addresses the spatiotemporal variations at play in China's CO<inf>2</inf> emissions, based on an estimation of emission levels in the period 1995-2012 and an provincial analysis of the relationship of CO<inf>2</inf> emissions to economic growth and energy consumption. Using a series of econometric models and data on the combustion of fossil fuels and cement manufacturing, the study first estimated CO<inf>2</inf> emission levels during the study period, exploring their spatiotemporal pattern. The results indicate that both China's total and its per capita CO<inf>2</inf> emissions have increased significantly over the study period, with both measures evidencing a similar evolution (albeit one that is characterized by noticeable regional discrepancies at the provincial level and which displays properties of convergence). From a geographical perspective, we found both total and per capita CO<inf>2</inf> emissionsto be higher in China's eastern region than in the country's central and western regions. Panel data analysis was subsequently undertaken in order to quantify the dynamic casual relationship between economic growth, energy consumption, and CO<inf>2</inf> emissions. The empirical results indicated that the variables were in fact cointegrated and exhibited a long-run positive relationship. The results of further Granger causality tests indicated the existence of a bidirectional positive causality between economic growth and energy consumption, as well as between energy consumption and CO<inf>2</inf> emissions, and a unidirectional positive causality running from economic growth to CO<inf>2</inf> emissions. The findings of this study suggest that China is, in the long run, dependent on carbon energy consumption for its rapid economic growth, a dependency which is the cause of considerable increases in CO<inf>2</inf> emissions. China should therefore make greater efforts to develop low-carbon technologies and renewable energy, and improve energy efficiency in order to reduce emissions and achieve green economic growth. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Ecological Indicators | - |
| dc.subject | China | - |
| dc.subject | CO2 emissions | - |
| dc.subject | Economic growth | - |
| dc.subject | Energy consumption | - |
| dc.subject | Panel data model | - |
| dc.subject | Spatiotemporal and econometric characteristics | - |
| dc.title | CO2, economic growth, and energy consumption in China's provinces: Investigating the spatiotemporal and econometric characteristics of China's CO2 emissions | - |
| dc.type | Article | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1016/j.ecolind.2016.04.022 | - |
| dc.identifier.scopus | eid_2-s2.0-84964543327 | - |
| dc.identifier.volume | 69 | - |
| dc.identifier.spage | 184 | - |
| dc.identifier.epage | 195 | - |
