| 1 |
Modelling the return and volatility spillovers of crude oil and food prices in Nigeria
Fasanya I, Akinbowale S
Energy, 169, 186, 2019 |
| 2 |
The role of economic and policy variables in energy-efficient retrofitting assessment. A stochastic Life Cycle Costing methodology
Baldoni E, Coderoni S, D'Orazio M, Di Giuseppe E, Esposti R
Energy Policy, 129, 1207, 2019 |
| 3 |
Estimating temperature effects on the Italian electricity market
Bigerna S
Energy Policy, 118, 257, 2018 |
| 4 |
How to promote the growth of new energy industry at different stages?
Lin BQ, Bin X
Energy Policy, 118, 390, 2018 |
| 5 |
Periodic autoregressive forecasting of global solar irradiation without knowledge-based model implementation
Voyant C, De Gooijer JG, Notton G
Solar Energy, 174, 121, 2018 |
| 6 |
Assessing CO2 emissions in China's iron and steel industry: A dynamic vector autoregression model
Xu B, Lin BQ
Applied Energy, 161, 375, 2016 |
| 7 |
Modeling the price relationships between crude oil, energy crops and biofuels
Chiu FP, Hsu CS, Ho A, Chen CC
Energy, 109, 845, 2016 |
| 8 |
Supply and demand determinants of natural gas price volatility in the UK: A vector autoregression approach
Misund B, Oglend A
Energy, 111, 178, 2016 |
| 9 |
Global oil market and the US stock returns
Ahmadi M, Manera M, Sadeghzadeh M
Energy, 114, 1277, 2016 |
| 10 |
Carbon dioxide emissions reduction in China's transport sector: A dynamic VAR (vector autoregression) approach
Xu B, Lin BQ
Energy, 83, 486, 2015 |
