Table 5 How urbanization and industrial structure affect the consumption of energy and income
From: An analysis of the correlation between income and the consumption of energy in Bangladesh
Parameters | PCEC Coefficient | UI Coefficient | PCEC Coefficient | IS Coefficient | |
|---|---|---|---|---|---|
UI | − 7.4734** | IS | − 1.5103*** | ||
(3.3743) | (0.4532) | ||||
INCP | 0.0271*** | INCP | 0.2898*** | ||
(0.0053) | (0.0352) | ||||
TEMP | − 0.2302** | 0.0006 | TEMP | − 0.2580*** | − 0.0204 |
(0.0939) | (0.0015) | (0.0956)) | (0.0159) | ||
RH | − 0.0461* | 0.0012*** | RH | − 0.0639** | − 0.0066* |
(0.0258) | (0.0003) | (0.0267) | (0.0034) | ||
RE | − 3.4502*** | 0.0161* | RE | − 3.2993*** | 0.1389* |
(1.1831) | (0.0089) | (1.1055) | (0.0828) | ||
TA | − 0.0022 | 0.00025*** | TA | − 0.0048*** | − 0.0007*** |
(0.0016) | (0.00011) | (0.0015) | (0.0002) | ||
DP | 0.1350** | 0.0016*** | DP | 0.1251** | − 0.0025 |
(0.0529) | (0.00039) | (0.0497) | (0.0044) | ||
_cons | 9.2404*** | 0.1981*** | _cons | 14.1869*** | 3.6706*** |
(2.5512) | (0.0410) | (3.5718) | (0.3559) | ||
Year impact | True | True | Year impact | True | True |
ID impact | True | True | ID impact | True | True |
N | 450 | 450 | N | 450 | 450 |
Adjusted R2 | 0.9602 | 0.9779 | Adjusted R2 | 0.9704 | 0.9685 |
Akaike’s Information Criteria (AIC) | 810.7493 | − 1658.5637 | Akaike’s Information Criteria (AIC) | 795.8747 | − 403.5843 |
Bayesian information criteria (BIC) | 974.9771 | − 1546.6643 | Bayesian information criteria (BIC) | 960.4773 | − 235.0984 |