Table 5 Blinder-Oaxaca decomposition showing contribution of all categories of variables towards endowments effect, and coefficients effect, Bangladesh MICS 2019.

From: Determinants of household adoption of clean energy with its rural–urban disparities in Bangladesh

Variables

Endowments contribution (%)

p-value

Coefficient contribution (%)

p-value

Wealth index

 Poor

55.440***

 < 0.001

− 20.741**

0.006

 Middle

9.892***

 < 0.001

− 13.940***

 < 0.001

 Rich (ref.)

    

Age

 15–64

− 0.017

0.87

− 15.46

0.145

 65 + (ref)

    

Religion

 Muslim

0.147**

0.005

7.081

0.561

 Non-Muslim (ref.)

    

Household size

  < 4

0.345***

 < 0.001

− 10.797**

0.008

 4–5

0.052

0.327

− 3.86

0.419

 6 + (ref.)

    

Household head education

 No education

4.237***

 < 0.001

− 14.896***

 < 0.001

 Primary

0.972***

 < 0.001

− 12.244***

 < 0.001

 Secondary and above (ref.)

    

Sex of household head

 Male

0.001

0.898

− 21.273*

0.033

 Female (ref.)

    

Ethnicity

 Bengali

0.049

0.088

148.457***

 < 0.001

 Others(ref)

    

Dwelling

 Own

− 0.517

0.802

18.899

0.2

 Rent

17.742***

 < 0.001

− 14.997

0.217

 Others(ref)

    

Mobile

 Yes

− 0.118

0.43

− 18.421

0.487

 No(ref)

    

Internet

 Yes

2.001***

 < 0.001

20.421**

0.001

 No(ref)

    

Division

 Barishal

0.851***

 < 0.001

− 2.768**

0.003

 Chattogram

0.274**

0.008

7.033*

0.018

 Dhaka

5.584***

 < 0.001

12.938*

0.042

 Khulna

0.993***

 < 0.001

− 2.384

0.136

 Mymensingh

0.142

0.368

− 0.198

0.847

 Rajshahi

0.492**

0.002

2.447

0.208

 Rangpur

1.360***

 < 0.001

− 2.777*

0.033

 Sylhet (ref.)

    
  1. Significant at ***p < 0.001; **p < 0.01; *p < 0.05.