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Literature review and research prospect prediction of carbon emission trading market

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DOI: 10.23977/ferm.2022.050511 | Downloads: 75 | Views: 1830

Author(s)

Huang Ye 1

Affiliation(s)

1 Department of Economics and Management, Wenhua College, Wuhan, 430074, China

Corresponding Author

Huang Ye

ABSTRACT

Around the carbon peaking and carbon neutrality target,more and more scholars focus on the "carbon" perspective, focus on the carbon market, and conduct in-depth research in the research fields they are good at. On the one hand, the academic achievements have promoted the improvement of the carbon emission rights trading market and the construction of the national carbon market. On the other hand, they also provide new ideas and development directions for the further research in the field of carbon economy and carbon finance.

KEYWORDS

Carbon emission trading market, carbon finance, literature review

CITE THIS PAPER

Huang Ye, Literature review and research prospect prediction of carbon emission trading market. Financial Engineering and Risk Management (2022) Vol. 5: 84-88. DOI: http://dx.doi.org/10.23977/ferm.2022.050511.

REFERENCES

[1] Song Xiaoling, Kong chuiming, Empirical analysis of the impact of China's carbon trading market on regional structure, Macroeconomics, 2018,98-107.
[2] WANG Yong,ZHAO Han, The impact of China’s carbon trading market on regional carbon emission efficiency, China population, resources and environment, 2019,50 -58. 
[3] LIAO Wen-long, DONG Xin-kai1, WENG Ming, et al. Economic Effect of Market-oriented Environmental Regulation: Carbon Emission Trading, Green Innovation and Green Economic Growth, China Soft Science, 2020,159-172
[4] YU Ping, LIU Ji-xian. Research on the Effects of Carbon Trading Market Size on Environment and Economic Growth, China Soft Science, 2020,45-55.
[5] Zhangxiufan, Ananlysis of Status and Trading machanism of Carbon Emission Trading Markets in China,scientific development, 2021,82-91.
[6] JING Guowen, Pilot policy of carbon emission trading and high-quality development of regional economy,Contemporary Economy & Management. 2022.
[7] YANG Xing, LIANG Jing-li, et al. Price forecasting algorithm of carbon emission rights under multiscale fractal characteristics, Systems Engineering—Theory & Practice, 2018,224-231.
[8] WANG Q W, ZHOU P, ZHOU D Q, Efficiency measurement with carbon dioxide emissions: the case of China. Applied energy, 2012, 90( 1) : 161-166.  
[9] ZHAO Y,ZHAO L L,BIAN Y W, Measuring regional efficiency of energy and carbon dioxide emissions in China: a chance constrained DEA approach.  Computers & operations research, 2016, 66: 351-361.  
[10] ZHAO X G,WU L, LI A.  Research on the efficiency of carbon trading market in China.  Renewable and sustainable energy reviews, 2017, 79: 1-8.  
[11] LIN B Q,DU KR, Date for: modeling the dynamics of carbon emission performance in China: a parametric Malmquist Index approach, Energy economics, 2015, 49: 550-557.  
[12] DUMAN Y S, KASMAN A.  Environmental technical efficiency in EU member and candidate countries: a parametric hyperbolic distance function approach.  Energy, 2018, 147: 297-307. 
[13] WANG HAN, CHEN ZHOPENG, WU XINGYI, et al. Can a carbon trading system promote the transformation of a low-carbon economy under the framework of the porter hypothesis? —empirical analysis based on the PSM-DID method. Energy policy, 2019, 129(6):930-938.
[14] CHENG B,DAI H,WANG P, et al. Impacts of carbon trading scheme on air pollutant emissions in Guangdong province of China . Energy for Sustainable Development, 2015, 27: 174-185.
[15] Hammoudeh S,Nguyen D K, Sousa R M. What Explain the Short-term Dynamics of the Prices of CO2 Emissions? Energy Eco⁃nomics, 2014, (46).
[16] Koch N, Fuss S, Grosjean G, et al. Causes of the EU ETS Price Drop: Recession, Cdm, Renewable Policies or a Bit of Everything?——New Evidence. Energy Policy, 2014, (73).
[17] Zhu B Z, Wei Y M. Carbon Price Forecasting With a Novel Hybrid ARIMA and Least Squares Support Vector Machines Methodology. Omega, 2013, (41).
[18] Byun S J, Cho H J. Forecasting Carbon Futures Volatility Using GARCH Models With Energy Volatilities. Energy Economics, 2013, (40).
[19] Martos C G, Rodriguez J, Sanchez M J. Modeling and Forecasting Fossil Fuels, CO2 and Electricity Prices and Their Volatilities. Ap⁃plied Energy, 2013,(101).
[20] Shimshack, J. P. et al. Enforcement and Over-compliance, Journal of Environmental Economics and Management, 2008(55).

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