Table 3 Extended probit model estimates of household clean energy adoption.

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

Variables

Clean energy adoption

Wealth Index

Poor (coefficient)

Middle (coefficient)

Rich (coefficient)

Coefficient

Wealth index

 Poor

− 1.724***

 

 Middle

− 2.363***

 Rich

− 2.809***

Age

 15–64 versus.  65 + (ref)

− 0.136*

− 0.118**

− 0.047

− 0.209***

Religion

 Muslim versus Non-Muslim (ref.)

− 0.1

0.122*

0.220***

 

Household size

 < 4 versus 6 + (ref.)

− 0.182**

0.104*

0.347***

− 0.073***

 4–5 versus 6 + (ref.)

− 0.153**

− 0.042

0.169***

− 0.071***

Household head education

 No education versus Secondary and above (ref.)

− 0.741***

− 0.706***

− 0.762***

− 0. 885***

 Primary versus. Secondary and above (ref.)

− 0.500***

− 0.520***

− 0.509***

− 0.615***

Sex of household head

 Male versus Female (ref.)

− 0.157*

0.093*

0.009

 

Ethnicity

 Bengali versus Others(ref)

0.761***

0.663***

0.415***

0.992***

Dwelling

 Own versus Others(ref)

0.432**

0.253**

0.184**

0.478***

 Rent versus Others(ref)

1.300***

1.475***

1.630***

1.494***

Mobile

 Yes versus No(ref)

0.402***

0.435***

0.318***

0.565***

Internet

 Yes versus No(ref)

0.800***

0.641***

0.591***

0.972***

Residence

 Urban versus Rural (ref.)

0.613***

0.609***

1.084***

0.776***

Division

 Barishal versus Sylhet (ref.)

− 0.681***

− 0.783***

− 0.954***

− 0.815***

 Chattogram versus Sylhet (ref.)

− 0.008

0.036

0.188***

− 0.047

 Dhaka versus Sylhet (ref.)

− 0.006

0.068

0.421***

0.074**

 Khulna versus Sylhet (ref.)

− 0.384**

− 0.315***

− 0.516***

− 0.088***

 Mymensingh versus Sylhet (ref.)

− 0.451***

− 0.495***

− 0.285***

− 0.464***

 Rajshahi versus Sylhet (ref.)

− 0.302**

− 0.388***

− 0.383***

− 0.189***

 Rangpur versus Sylhet (ref.)

− 0.598***

− 0.602***

− 0.459***

− 0.517***

 Correlation between wealth index and clean energy adoption

0.883***

  1. Number of observations: 61,242
  2. Wald chi2: 28,133.37***
  3. Log pseudolikelihood: − 59,393.53
  4. ref. = Reference Category; Statistical Significance: *p < 0.05; **p < 0.01; *** p < 0.001.