Bangzhu Zhu

Economics and Econometrics · 2013–2021

A researcher in the Science corpus: 15 papers; trusts 11 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 182 citations into it; #6,780 of 23,481 by trust here, #1,879 by citations
• Environmental Engineering — 98 citations into it; #1,152 of 5,479 by trust here, #342 by citations
• Renewable Energy, Sustainability and the Environment — 84 citations into it
• Global and Planetary Change — 13 citations into it
• Building and Construction — 8 citations into it

Whom Bangzhu Zhu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Bin Su
2. Lean Yu
3. Beng Wah Ang
4. Marc S. Paolella
5. Yi-Ming Wei
6. Yue‐Jun Zhang
7. M. Mansanet-Bataller
8. B. Hintermann
9. Ling Tang
10. Zhen-hai Guo

Who trusts Bangzhu Zhu overall

1. Meng Han
2. Ke Wang
3. Yi-Ming Wei
4. Yang Zhou
5. Neeraj Dhanraj Bokde
6. Lili Ding
7. Xin Zhao
8. Yan-sui Liu
9. Y. Chu
10. Qiang Wang

Papers from Bangzhu Zhu's perspective

Ordered by how strongly the researchers Bangzhu Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Carbon price volatility: Evidence from EU ETS
2. Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
3. Decoupling China’s Carbon Emissions Increase from Economic Growth: An Economic Analysis and Policy Implications
4. CO2 Prices, Energy and Weather
5. European Emission Trading Scheme and competitiveness: A case study on the iron and steel industry
6. Modeling the Price Dynamics of Co2 Emission Allowances
7. The drivers of Chinese CO2 emissions from 1980 to 2030
8. Generalized autoregressive conditional heteroskedasticity
9. Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
10. Price determination in the EU ETS market: Theory and econometric analysis with market fundamentals

Their papers

• Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China (2013) — 528 citations
• Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology (2013) — 411 citations
• Carbon Price Analysis Using Empirical Mode Decomposition (2015) — 135 citations
• Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017) — 276 citations
• Will developing countries become pollution havens for developed countries? An empirical investigation in the Belt and Road (2018) — 206 citations
• Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach (2019) — 113 citations
• Assessing global energy poverty: An integrated approach (2021) — 157 citations
• Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach (2020) — 197 citations
• Can direct environmental regulation promote green technology innovation in heavily polluting industries? Evidence from Chinese listed companies. (2020) — 652 citations
• A multiscale analysis for carbon price drivers (2019) — 173 citations
• Measuring the maturity of carbon market in China: An entropy-based TOPSIS approach (2019) — 196 citations
• On the road to China's 2020 carbon intensity target from the perspective of “double control” (2018) — 47 citations
• Decoupling analysis of world economic growth and CO2 emissions: A study comparing developed and developing countries (2018) — 240 citations
• Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08 – 2013/14 (2018) — 172 citations
• Comparisons of decoupling trends of global economic growth and energy consumption between developed and developing countries (2018) — 191 citations