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| The empirical analysis of the relationship between carbon dioxide emissions and economic growth |
| ZHAO Zhe1, CHEN Jian-cheng1, BAI Yu-ping2,3,4, WANG Guo-feng5, LIU Yu6 |
1. Beijing Forestry University, School of Economic and Management, Beijing 100083, China;
2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
3. Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China;
4. University of Chinese Academy of Sciences, Beijing 100101, China;
5. Shanxi University of Finance and Economics, School of International Trade, Taiyuan 030006, China;
6. Shandong Normal University, School of Geography and Environment, Jinan 250358, China |
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Abstract In the context of answering climate change and reaching a consensus on reducing carbon dioxide emissions in global scale. Exploring the relationships between "economic growth" and "carbon dioxide emissions" is of great significance. Cointegration, vector autoregressive model (VAR), impulse response function and Granger causality were applied in this paper to analysis the causal relationship between " carbon emissions per capita" and "economic growth" in six regions with different economic development level. The results showed that there was a long-run equilibrium relationship between region economic development and per capita carbon emissions. However, due to various economic development levels and development models in the specific region, the degree of carbon dioxide emissions per capita was different from that of economic growth; meanwhile economic growth could not guarantee the reducing of carbon emissions. The reasonable way to achieve this is through adjusting industrial structure, strengthening the third industry, using clean energy, applying low carbon economy development way, which is of great significance in implemet policices to reduce emissions in China.
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Received: 22 November 2017
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