An econometric study on China’s economy, energy and environment to the year 2030

By Zhidong Li. 2003

117 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/064c96f91892399cad3836cd87e55943f204bdf4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. A. Hasanbeigi
2. W. Feng
3. Muzaffer Yücel
4. N. Say
5. Muhammad Shahbaz

In Environmental Engineering

1. A. Hasanbeigi
2. Muzaffer Yücel
3. N. Say

In Management Science and Operations Research

1. Muzaffer Yücel
2. N. Say

Citations in the corpus

• A roadmap for China to peak carbon dioxide emissions and achieve a 20% share of non-fossil fuels in primary energy by 2030 (2019, methodology): “Starting in the early 2000s, various models have been used to forecast China’s energy consumption and CO2 emissions, including: (1) econometric models, autoregressive integrated moving average (ARIMA) models, and Grey prediction models (GM) [24,25], (2) top-down models such as input-output models an”
• Energy consumption and CO2 emissions in Turkey: Empirical analysis and future projection based on an economic growth (2006, background): “…product (GNP), the real energy prices, and the estimation of CO2 emissions (Lester and Ninomiya, 2005), while some of them focused on the relationship between economic growth, energy consumption, and environmental considerations with recommendations for sustainable development (Zhidong, 2003).”