Table 2 Association between cofactors and use of clean energy in Bangladesh.
From: Determinants of household adoption of clean energy with its rural–urban disparities in Bangladesh
Variables | Clean energy | χ2 Value (p-value) | |
|---|---|---|---|
Non adopter (%) | Adopter (%) | ||
Division | |||
Barishal | 95.50% | 4.50% | 9224.152 (< 0.001) |
Chattogram | 76.20% | 23.80% | |
Dhaka | 55.60% | 44.40% | |
Khulna | 91.90% | 8.10% | |
Mymensingh | 91.50% | 8.50% | |
Rajshahi | 91.30% | 8.70% | |
Rangpur | 95.00% | 5.00% | |
Sylhet | 86.10% | 13.90% | |
Residence | |||
Urban | 40.50% | 59.50% | 17,086.867 (< 0.001) |
Rural | 91.30% | 8.70% | |
Sex of household head | |||
Male | 80.70% | 19.30% | 108.169 (< 0.001) |
Female | 75.70% | 24.30% | |
Household head education | |||
No education | 90.80% | 9.20% | 4249.15(< 0.001) |
Primary | 84.50% | 15.50% | |
Secondary and above | 67.00% | 33.00% | |
Religion | |||
Muslim | 79.30% | 20.70% | 181.668 (< 0.001) |
Non-Muslim | 86.70% | 13.30% | |
Ethnicity | |||
Bengali | 79.90% | 20.10% | 80.942 (< 0.001) |
Others | 93.40% | 6.60% | |
Wealth index | |||
Poor | 99.80% | 0.20% | 21,338.894 (< 0.001) |
Middle | 97.20% | 2.80% | |
Rich | 50.70% | 49.30% | |
Household Size | |||
< 4 | 76.10% | 23.90% | 456.836 (< 0.001) |
5-Apr | 80.60% | 19.40% | |
6 + | 85.90% | 14.10% | |
Age | |||
15–64 | 78.90% | 21.10% | 325.962 (< 0.001) |
65 + | 87.60% | 12.40% | |
Internet | |||
Yes | 67.00% | 33.00% | 3938.143 (< 0.001) |
No | 87.90% | 12.10% | |
Dwelling | |||
Own | 89.30% | 10.70% | 21,946.994 (< 0.001) |
Rent | 18.20% | 81.80% | |
Others | 90.80% | 9.20% | |
Mobile | |||
Yes | 79.40% | 20.60% | 337.901 (< 0.001) |
No | 92.70% | 7.30% | |
