Cavallaro et al. (2018)Cavallaro, F., Danielis, R., Nocera, S., & Rotaris, L. (2018). Should BEVs be subsidized or taxed? A European perspective based on the economic value of CO2 emissions. Transportation Research Part D, Transport and Environment, 64, 70-89. http://dx.doi.org/10.1016/j.trd.2017.07.017. http://dx.doi.org/10.1016/j.trd.2017.07....
|
Europe |
Deterministic |
Well-to-Wheel emission |
emission and Economic value |
Analysis from statistical records |
Zhang & Zhang (2018)Zhang, J., & Zhang, Y. (2018). Carbon tax, tourism CO2 emissions and economic welfare. Annals of Tourism Research, 69, 18-30. http://dx.doi.org/10.1016/j.annals.2017.12.009. http://dx.doi.org/10.1016/j.annals.2017....
|
China |
Deterministic |
Computable General Equilibrium model |
Carbon tax and economic welfare |
Analysis from statistical records |
Lin & Jia (2019)Lin, B., & Jia, Z. (2019). How does tax system on energy industries affect energy demand, CO2 emissions, and economy in China? Energy Economics, 84, 104496. http://dx.doi.org/10.1016/j.eneco.2019.104496. http://dx.doi.org/10.1016/j.eneco.2019.1...
|
China |
Deterministic and probabilistic |
Computable General Equilibrium model |
Carbon tax, energy demand in industry |
Analysis from statistical records |
Li et al. (2018)Li, Z., Dai, H., Sun, L., Xie, Y., Liu, Z., Wang, P., & Yabar, H. (2018). Exploring the impacts of regional unbalanced carbon tax on CO2 emissions and industrial competitiveness in Liaoning province of China. Energy Policy, 113, 9-19. http://dx.doi.org/10.1016/j.enpol.2017.10.048. http://dx.doi.org/10.1016/j.enpol.2017.1...
|
Liaoning (China) |
Deterministic |
Impacts of regional unbalanced carbon price |
Carbon tax and industrial competitiveness |
Analysis from statistical records |
Simshauser (2018)Simshauser, P. (2018). Price discrimination and the modes of failure in deregulated retail electricity markets. Energy Economics, 75, 54-70. http://dx.doi.org/10.1016/j.eneco.2018.08.007. http://dx.doi.org/10.1016/j.eneco.2018.0...
|
Great Britain |
Deterministic |
Price discrimination and the modes of failure in deregulated retail electricity markets |
Carbon price and emissions |
Analysis from statistical records |
Aydin & Esen (2018)Aydin, C., & Esen, Ö. (2018). Reducing CO2 emissions in the EU member states: Do environmental taxes work? Journal of Environmental Planning and Management, 61(13), 2396-2420. http://dx.doi.org/10.1080/09640568.2017.1395731. http://dx.doi.org/10.1080/09640568.2017....
|
Europe |
Deterministic |
Dynamic panel threshold regression model |
Environmental taxes and emissions |
Prediction from statistical records |
Sun & Huang (2020)Sun, W., & Huang, C. (2020). A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network. Journal of Cleaner Production, 243, 118671. http://dx.doi.org/10.1016/j.jclepro.2019.118671. http://dx.doi.org/10.1016/j.jclepro.2019...
|
Beijing and Shanghai |
Deterministic |
Secondary decomposition algorithm and back propagation neural network |
Carbon price and emissions |
Analysis from statistical records |
Sun & Zhang (2018)Sun, W., & Zhang, C. (2018). Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm. Applied Energy, 231, 1354-1371. http://dx.doi.org/10.1016/j.apenergy.2018.09.118. http://dx.doi.org/10.1016/j.apenergy.201...
|
China and Europe |
Deterministic |
Multi—resolution singular value decomposition and extreme learning machine |
Carbon price and emissions |
Prediction from statistical records |
Wei et al. (2018)Wei, S., Chongchong, Z., & Cuiping, S. (2018). Carbon pricing prediction based on wavelet transform and K-ELM optimized by bat optimization algorithm in China ETS: the case of Shanghai and Hubei carbon markets. Carbon Management, 9(6), 605-617. http://dx.doi.org/10.1080/17583004.2018.1522095. http://dx.doi.org/10.1080/17583004.2018....
|
Shanghai and Hubei |
Deterministic |
Wavelet transform and Kernel-Extreme Learning Machine |
Carbon price and emissions |
Prediction from statistical records |
Hao et al. (2020)Hao, Y., Tian, C., & Wu, C. (2020). Modelling of carbon price in two real carbon trading markets. Journal of Cleaner Production, 244, 118556. http://dx.doi.org/10.1016/j.jclepro.2019.118556. http://dx.doi.org/10.1016/j.jclepro.2019...
|
China and Europe |
Deterministic |
Extreme learning machine using a multi-objective algorithm |
Carbon price and emissions |
Optimal prediction from statistical records |
Zhao et al. (2021)Zhao, L. T., Miao, J., Qu, S., & Chen, X. H. (2021). A multi-factor integrated model for carbon price forecasting: market interaction promoting carbon emission reduction. The Science of the Total Environment, 796, 149110. http://dx.doi.org/10.1016/j.scitotenv.2021.149110. PMid:34328877. http://dx.doi.org/10.1016/j.scitotenv.20...
|
Global |
Deterministic |
Multi-factor decomposition and integration carbon price forecasting model |
Carbon price and emissions |
Prediction from statistical records |
Song et al. (2019)Song, Y., Liu, T., Liang, D., Li, Y., & Song, X. (2019). A fuzzy stochastic model for carbon price prediction under the effect of demand-related policy in China’s carbon market. Ecological Economics, 157, 253-265. http://dx.doi.org/10.1016/j.ecolecon.2018.10.001. http://dx.doi.org/10.1016/j.ecolecon.201...
|
China |
Fuzzy -stochastic |
Fuzzy stochastic model for carbon price prediction |
Carbon price and emissions |
Prediction from statistical records |
Tsao et al. (2021)Tsao, Y.-C., Nugraha Ridhwan Amir, E., Thanh, V.-V., & Dachyar, M. (2021). Designing an eco-efficient supply chain network considering carbon trade and trade-credit: a robust fuzzy optimization approach. Computers & Industrial Engineering, 160, 107595. http://dx.doi.org/10.1016/j.cie.2021.107595. http://dx.doi.org/10.1016/j.cie.2021.107...
|
Taiwan |
Fuzzy-deterministic |
Eco-efficient supply chain network and fuzzy optimization |
Carbon trade and trade-credit |
Prediction from statistical records |