Table 4 Results of regression analysis examining variations in climate change, income, and consumption of energy across different regions and time periods
From: An analysis of the correlation between income and the consumption of energy in Bangladesh
Parameters | Region | Year | ||
|---|---|---|---|---|
South coefficient-1 | North coefficient-2 | 2012–2016 coefficient-3 | 2017–2021 coefficient-4 | |
INCP | − 0.7743*** | 5.0432** | − 0.4512*** | − 1.1521*** |
(0.1689) | (2.3876) | (0.1643) | (0.3075) | |
TEMP | − 0.1239 | − 0.1239 | − 0.1239 | − 0.2012 |
(0.1192) | (0.1262) | (0.0495) | (0.1196) | |
− 0.0045 | − 0.1191** | − 0.0132 | − 0.0512 | |
(0.0201) | (0.0511) | (0.0134) | (0.0331) | |
0.8512 | − 4.3123*** | 0.7512* | − 5.6012*** | |
(1.5512) | (1.3495) | (0.3901) | (1.8023) | |
− 0.0017 | − 0.0351** | − 0.0050** | − 0.0019* | |
(0.0013) | (0.0171) | (0.0018) | (0.0014) | |
0.0812 | 0.1337** | − 0.0406 | 0.2920*** | |
(0.0662) | (0.0704) | (0.0298) | (0.0803) | |
6.4134** | 15.9457*** | 4.9745*** | 12.9234*** | |
(2.5321) | (5.0267) | (1.5023) | (3.6732) | |
Year impact | True | True | True | True |
Division impact | True | True | True | True |
N | 270 | 180 | 230 | 220 |
R2 | 0.9514 | 0.9562 | 0.9867 | 0.9642 |
Akaike’s information criteria (AIC) | 345.8743 | 375.7345 | 130.4536 | 355.8732 |
Bayesian information criteria (BIC) | 449.7643 | 451.5673 | 250.6746 | 469.7446 |