Project Details
Project Description
This project will contribute to Australian and international efforts on emission control by quantifying and
forecasting the relationships between variables such as energy production, emission and climate, and assessing
the real and financial risks associated with changing the ways in which economies produce and use energy. Given
the complex and changing trends in the relevant time series and the roles that risk and uncertainty play, the
project will develop new and appropriate estimation and inferential techniques to undertake the proposed
empirical work. Societal benefits will include a better understanding of human influence on the environment, and
improved forecasts for informing policy decisions.
forecasting the relationships between variables such as energy production, emission and climate, and assessing
the real and financial risks associated with changing the ways in which economies produce and use energy. Given
the complex and changing trends in the relevant time series and the roles that risk and uncertainty play, the
project will develop new and appropriate estimation and inferential techniques to undertake the proposed
empirical work. Societal benefits will include a better understanding of human influence on the environment, and
improved forecasts for informing policy decisions.
| Status | Active |
|---|---|
| Effective start/end date | 3/08/20 → 30/06/26 |
Research output
- 15 Article
-
Asymptotics for time-varying vector MA(∞) processes
Yan, Y., Gao, J. & Peng, B., Jun 2025, In: Econometric Theory. 41, 3, p. 584-616 33 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus) -
Does climate sensitivity differ across regions? A varying–coefficient approach
Anderson, H. M., Gao, J., Vahid, F., Wei, W. & Yang, Y., 2025, (Accepted/In press) In: Journal of Business & Economic Statistics. 11 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Energy transition and climate policy selection with stochastic demand: evidence from Australian electricity generation expansion planning
Sun, X., Anderson, H. M., Wei, W. & Zhang, X., May 2025, In: Energy Economics. 146, 15 p., 108397.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)