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Table 3 Benchmark regression findings on energy usage, income, and climate change

From: An analysis of the correlation between income and the consumption of energy in Bangladesh

Parameters

Coefficient (1)

Coefficient (2)

Coefficient (3)

Coefficient (4)

INCP

− 0.9796***

− 0.7932***

− 0.7675***

1.5521***

 

(0.3243)

(0.1721)

(0.1543)

(0.3875)

INCP2

   

− 0.1592***

    

(0.0358)

TEMP

  

− 0.2341**

− 0.1902**

   

(0.0974)

(0.0721)

RH

  

− 0.0497**

− 0.0481**

   

(0.0261)

(0.0217)

RE

 

− 3.5412***

− 3.3648***

− 3.1547***

  

(1.1197)

(1.1702)

(1.1012)

TA

 

− 0.0038***

− 0.0033***

0.0035***

  

(0.0013)

(0.0011)

(0.0012)

DP

 

0.1402**

0.1375**

0.1317**

  

(0.0497)

(0.0521)

(0.0523)

_cons

6.1276***

4.5178***

9.9742***

3.3741**

 

(0.3871)

(0.5578)

(2.4412)

(1.5542)

Year impact

True

True

True

True

Division impact

True

True

True

True

N

450

450

450

450

R2

0.1112

0.9612

0.9501

0.9604

Akaike’s information criteria (AIC)

790.7412

805.7412

800.8664

798.7441

Bayesian information criteria (BIC)

825.7454

964.7841

969.4682

935.7856

  1. *For 0.1 level of significance
  2. **For 0.05 level of significance
  3. ***For 0.01 level of significance