How to optimize the development of carbon trading in China—Enlightenment from evolution rules of the EU carbon price

Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression

Zhu, B., Han, D., Wang, P., Wu, Z., Zhang, T., & Wei, Y.-M. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.01.076 · Cited by 307 · see citing works

Economic growth model, structural transformation, and green productivity in China

Li, K., & Lin, B. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.11.075 · Cited by 297 · see citing works

The dynamic volatility spillover between European carbon trading market and fossil energy market

Zhang, Y., & Sun, Y.-F. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.09.118 · Cited by 280 · see citing works

Optimal Production Planning with Emissions Trading

Gong, X., & Zhou, S. X. (2013) · Operations Research · doi:10.1287/opre.2013.1189 · Cited by 279 · see citing works

How to improve the market efficiency of carbon trading: A perspective of China

Xin-gang, Z., Jiang, G.-W., Nie, D., & Chen, H. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.01.052 · Cited by 249 · see citing works

Production and pricing problems in make-to-order supply chain with cap-and-trade regulation

Xu, X., Zhang, W., He, P., et al. (2015) · Omega · doi:10.1016/j.omega.2015.08.006 · Cited by 236 · see citing works

Assessment of impacts of Hubei Pilot emission trading schemes in China – A CGE-analysis using TermCO2 model

Liu, Y., Tan, X., Yu, Y., et al. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.05.085 · Cited by 210 · see citing works

Potential of nanorefrigerant and nanolubricant on energy saving in refrigeration system – A review

Azmi, W. H., Sharif, M. Z., Yusof, T. M., Mamat, R., & Redhwan, A. A. M. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.11.207 · Cited by 210 · see citing works

The critical role of the industrial sector in reaching long-term emission reduction, energy efficiency and renewable targets

Fais, B., Sabio, N., & Strachan, N. D. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.10.112 · Cited by 199 · see citing works

Emission trading and carbon market performance in Shenzhen, China

Cong, R., & Lo, A. Y. H. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.02.037 · Cited by 196 · see citing works

Assessing the design of three carbon trading pilot programs in China

Munnings, C., Morgenstern, R. D., Wang, Z., & Liu, X. (2016) · Energy Policy · doi:10.1016/j.enpol.2016.06.015 · Cited by 177 · see citing works

Dependence changes between the carbon price and its fundamentals: A quantile regression approach

Tan, X., & Wang, X. (2017) · Applied Energy · doi:10.1016/j.apenergy.2016.12.116 · Cited by 176 · see citing works

The allowance mechanism of China’s carbon trading pilots: A comparative analysis with schemes in EU and California

Xiong, L., Shen, B., Qi, S., Price, L., & Ye, B. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.01.064 · Cited by 152 · see citing works

Energy structure change and carbon emission trends in China

Wang, Z., Zhu, Y., Zhu, Y., & Shi, Y. (2016) · Energy · doi:10.1016/j.energy.2016.08.066 · Cited by 145 · see citing works

The research on setting a unified interval of carbon price benchmark in the national carbon trading market of China

Li, W., & Lu, C. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.06.018 · Cited by 129 · see citing works

Chinese companies’ awareness and perceptions of the Emissions Trading Scheme (ETS): Evidence from a national survey in China

Yang, L., Li, F., & Zhang, X. (2016) · Energy Policy · doi:10.1016/j.enpol.2016.08.039 · Cited by 129 · see citing works

Carbon pricing in the EU: Evaluation of different EU ETS reform options

Brink, C., Vollebergh, H. R. J., & van der Werf, E. (2016) · Energy Policy · doi:10.1016/j.enpol.2016.07.023 · Cited by 127 · see citing works

Electric vehicle charging in China’s power system: Energy, economic and environmental trade-offs and policy implications

Li, Y., Davis, C. B., Lukszo, Z., & Weijnen, M. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.04.040 · Cited by 123 · see citing works

The impacts of carbon tax on energy intensity and economic growth – A dynamic evolution analysis on the case of China

Fang, G., Tian, L., Fu, M., et al. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.04.041 · Cited by 117 · see citing works

The role of multi-region integrated emissions trading scheme: A computable general equilibrium analysis

Zhang, X., Qi, T., Ou, X., & Zhang, X. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.11.092 · Cited by 116 · see citing works

Cutting CO2 intensity targets of interprovincial emissions trading in China

Chang, K., & Chang, H. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.10.146 · Cited by 93 · see citing works

The energy price equivalence of carbon taxes and emissions trading—Theory and evidence

Chiu, F.-P., Kuo, H.-I., Chen, C., et al. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.09.022 · Cited by 80 · see citing works

Limited trading of emissions permits as a climate cooperation mechanism? US–China and EU–China examples

Gavard, C., Winchester, N., & Paltsev, S. (2016) · Energy Economics · doi:10.1016/j.eneco.2016.06.012 · Cited by 80 · see citing works

Energy efficiency improvement in oil refineries through flare gas recovery technique to meet the emission trading targets

Comodi, G., Renzi, M., & Rossi, M. (2016) · Energy · doi:10.1016/j.energy.2016.04.080 · Cited by 76 · see citing works

The valuation of photovoltaic power generation under carbon market linkage based on real options

Tian, L., Pan, J., Du, R., et al. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.12.092 · Cited by 72 · see citing works

Role of carbon swap trading and energy prices in price correlations and volatilities between carbon markets

Kanamura, T. (2015) · Energy Economics · doi:10.1016/j.eneco.2015.10.016 · Cited by 68 · see citing works

Is the European Union Emissions Trading Scheme (EU ETS) informationally efficient? Evidence from momentum-based trading strategies

Crossland, J., Li, B., & Roca, E. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.03.079 · Cited by 66 · see citing works

Financial security evaluation of the electric power industry in China based on a back propagation neural network optimized by genetic algorithm

Sun, W., & Xu, Y. (2016) · Energy · doi:10.1016/j.energy.2016.02.046 · Cited by 66 · see citing works

Impacts of the coming emission trading scheme on China’s coal-to-materials industry in 2020

Li, G., Yang, J., Chen, D., et al. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.03.115 · Cited by 62 · see citing works

Modelling, simulation and analysis of intensified regenerator for solvent based carbon capture using rotating packed bed technology

Joel, A. S., Wang, M., Ramshaw, C., & Oko, E. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.05.157 · Cited by 62 · see citing works

Analysis and application of a novel three-dimensional energy-saving and emission-reduction dynamic evolution system

Fang, G., Tian, L., Sun, M., et al. (2012) · Energy · doi:10.1016/j.energy.2012.01.071 · Cited by 61 · see citing works

Responsible production policies with substitution and carbon emissions trading

Chen, X., Chan, C. K., & Lee, Y. C. E. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.10.083 · Cited by 60 · see citing works

Carbon prices and CCS investment: A comparative study between the European Union and China

Renner, M. (2014) · Energy Policy · doi:10.1016/j.enpol.2014.09.026 · Cited by 57 · see citing works

Energy price risk and the sustainability of demand side supply chains

Mulhall, R. A., & Bryson, J. R. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.01.018 · Cited by 57 · see citing works

Futures trading with information asymmetry and OTC predominance: Another look at the volume/volatility relations in the European carbon markets

Rannou, Y., & Barneto, P. (2014) · Energy Economics · doi:10.1016/j.eneco.2014.10.010 · Cited by 50 · see citing works

Carbon Trading Over Taxes

Chameides, W. L., & Oppenheimer, M. (2007) · Science · doi:10.1126/science.1138299 · Cited by 48 · see citing works

The effects of allowance price on energy demand under a personal carbon trading scheme

Fan, J., Li, J., Wu, Y., et al. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.02.111 · Cited by 47 · see citing works

Creating a level playing field? The concentration and centralisation of emissions in the European Union Emissions Trading System

Bryant, G. (2016) · Energy Policy · doi:10.1016/j.enpol.2016.06.007 · Cited by 46 · see citing works

A finite element method for a weakly nonlinear dynamic analysis and bifurcation tracking of thermo-acoustic instability in longitudinal and annular combustors

Laera, D., Campa, G., & Camporeale, S. M. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.10.124 · Cited by 45 · see citing works

A big data study on emitting companies' performance in the first two phases of the European Union Emission Trading Scheme

Liu, Y., Guo, J., & Fan, Y. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.05.121 · Cited by 43 · see citing works

Adjusting the CO2 cap to subsidised RES generation: Can CO2 prices be decoupled from renewable policy?

Richstein, J. C., Chappin, E. J. L., & de Vries, L. J. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.07.024 · Cited by 42 · see citing works

The coal question that emissions trading has not answered

Pearse, R. (2016) · Energy Policy · doi:10.1016/j.enpol.2016.05.053 · Cited by 39 · see citing works

The impact of verified emissions announcements on the European Union emissions trading scheme: A bilaterally modified dummy variable modelling analysis

Jia, J., Xu, J.-H., & Fan, Y. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.04.027 · Cited by 34 · see citing works

Review of CO2 price in Europe using feed-in tariff rates

Bakhtyar, B., Fudholi, A., Hassan, M. K., et al. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.11.146 · Cited by 34 · see citing works

An estimation of the effect of carbon pricing for CO2 mitigation in China’s cement industry

Liu, X., Fan, Y., & Wang, C. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.10.115 · Cited by 32 · see citing works

How to promote the development of energy-saving and emission-reduction with changing economic growth rate—A case study of China

Fang, G., Tian, L., Fu, M., et al. (2017) · Energy · doi:10.1016/j.energy.2017.11.008 · Cited by 31 · see citing works

Optimally differentiated carbon prices for unilateral climate policy

Boeters, S. (2014) · Energy Economics · doi:10.1016/j.eneco.2014.07.015 · Cited by 30 · see citing works

Carbon Price and Wind Power Support in Denmark

Gavard, C. (2015) · Energy Policy · doi:10.1016/j.enpol.2016.01.031 · Cited by 29 · see citing works

Government control or low carbon lifestyle? – Analysis and application of a novel selective-constrained energy-saving and emission-reduction dynamic evolution system

Fang, G., Tian, L., Fu, M., et al. (2014) · Energy Policy · doi:10.1016/j.enpol.2014.01.013 · Cited by 28 · see citing works

Fine structure of the price–demand relationship in the electricity market: Multi-scale correlation analysis

Afanasyev, D. O., Федорова, Е. А., & Popov, V. Y. (2015) · Energy Economics · doi:10.1016/j.eneco.2015.07.011 · Cited by 26 · see citing works

The economic growth enigma revisited: The EU-15 since the 1970s

Voudouris, V., Ayres, R. U., Serrenho, A. C., et al. (2015) · Energy Policy · doi:10.1016/j.enpol.2015.04.027 · Cited by 23 · see citing works

Dynamic vapor recompression in a reactive batch rectifier: Analysis and nonlinear control

Banerjee, S., & Jana, A. K. (2016) · Energy · doi:10.1016/j.energy.2016.08.077 · Cited by 4 · see citing works

Tackling climate change with machine learning

Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works

Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm

Sun, W., & Zhang, C. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.09.118 · Cited by 181 · see citing works

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

Wei, S., Chongchong, Z., & Cuiping, S. (2018) · Carbon Management · doi:10.1080/17583004.2018.1522095 · Cited by 66 · see citing works

Enlightenment and Ontology. Autochthonous Enlightenments: China

Kuznetsov, V. (2014) · Sententiae · doi:10.22240/sent30.01.129 · Cited by 3 · see citing works

Foreign Literature and the New Enlightenment

Li, X. (2011)

The Spirit of the Enlightenment

Todorov, T. (2008) · Critical Horizons · doi:10.1558/crit.v9i2.177 · Cited by 1 · see citing works

Five Issues on Enlightenment

Li, X. (2003)

What Enlightenment Was, What It Still Might Be, and Why Kant May Have Been Right After All

Schmidt, J. D. (2005) · American Behavioral Scientist · doi:10.1177/0002764205282215 · Cited by 12 · see citing works