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Journal of Systems Science and Complexity

, Volume 31, Issue 5, pp 1244–1272 | Cite as

The Influencing Factors of sCER Price Dynamics Under the Clean Development Mechanism: Theory and Econometric Analysis

  • Chen Zhang
  • Yaqi Wu
  • Yu Yang
Article

Abstract

In order to explore the factors and their complex mechanism affecting the price dynamics under the clean development mechanism (CDM), this article employs the secondary Certified Emission Reduction (sCER) carbon price as the study object, and analyzes its influencing factors from aspects of the international carbon-reduction policies, macroeconomic fluctuations, energy and similar carbon products prices. The innovation of this paper lies in: Introducing necessary factor (the developing countries pricing power) and the application of several international representative indicators to underline the “world” nature of CDM; utilizing different econometric models to obtain noteworthy and more robust results. The authors test the theoretical findings with multiple stationary time series from the launch of CDM to present (2008–2016). The results reveal that sCER price fluctuation shows the characteristic of asymmetry and substantial persistence. There is a strong statistically significant relationship between macroeconomic conditions, coal and oil prices, with the price of sCER. The authors discover that the pricing power of developing countries indeed has a clear but small impact on the sCER price changes, whereas the price elasticity of supply under CDM is so weak. The interaction between EU emission allowances (EUAs) and sCER presents a shift from dependency to substitution.

Keywords

Clean development mechanism econometric analysis influencing factors sCER carbon price 

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Notes

Acknowledgements

The authors are grateful to the Editor as well as two anonymous referees whose insightful suggestions and comments greatly improved the quality of this paper. We also thank the National Natural Science Foundation of China under Grant [71373065] for supporting this research work. The usual disclaimer applies.

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Copyright information

© Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of ManagementHefei University of TechnologyHefeiChina
  2. 2.Key Laboratory of Process Optimization & Intelligent Decision Making of Ministry of EducationHefeiChina

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