| 1 |
Examining the spatial variations of determinants of energy-related CO2 emissions in China at the city level using Geographically Weighted Regression Model
Wang SJ, Shi CY, Fang CL, Feng KS
Applied Energy, 235, 95, 2019 |
| 2 |
Residential energy consumption and its linkages with life expectancy in mainland China: A geographically weighted regression approach and energy-ladder-based perspective
Wang SB, Liu YL, Zhao C, Pu HX
Energy, 177, 347, 2019 |
| 3 |
Spatio-temporal simulation of energy consumption in China's provinces based on satellite night-time light data
Xiao HW, Ma ZY, Mi ZF, Kelsey J, Zheng JL, Yin WH, Yan M
Applied Energy, 231, 1070, 2018 |
| 4 |
Factors affecting CO2 emissions in China's agriculture sector: Evidence from geographically weighted regression model
Xu B, Lin BQ
Energy Policy, 104, 404, 2017 |
| 5 |
Spatial Risk Premium on Weather Derivatives and Hedging Weather Exposure in Electricity
Hardle WK, Osipenko M
Energy Journal, 33(2), 149, 2012 |
| 6 |
Effects of land cover, topography, and built structure on seasonal water quality at multiple spatial scales
Pratt B, Chang HJ
Journal of Hazardous Materials, 209, 48, 2012 |
