From: Determinants of efficiency in residential electricity demand: stochastic frontier analysis on Japan
 | Model A | Model B | ||
---|---|---|---|---|
 | Efficiency score | Rank | Efficiency score | Rank |
Hokkaido | 0.57 | 44 | 0.65 | 25 |
Aomori | 0.73 | 32 | 0.66 | 23 |
Iwate | 0.75 | 27 | 0.65 | 26 |
Miyagi | 0.83 | 15 | 0.72 | 14 |
Akita | 0.80 | 18 | 0.72 | 11 |
Yamagata | 0.78 | 22 | 0.63 | 30 |
Fukushima | 0.79 | 21 | 0.65 | 24 |
Ibaraki | 0.85 | 8 | 0.72 | 13 |
Tochigi | 0.84 | 11 | 0.70 | 17 |
Gunma | 0.76 | 24 | 0.62 | 32 |
Saitama | 0.89 | 2 | 0.79 | 5 |
Chiba | 0.88 | 3 | 0.80 | 4 |
Tokyo | 0.87 | 7 | 0.81 | 3 |
Kanagawa | 0.91 | 1 | 0.87 | 1 |
Niigata | 0.80 | 20 | 0.66 | 22 |
Toyama | 0.59 | 42 | 0.48 | 44 |
Ishikawa | 0.52 | 46 | 0.43 | 46 |
Fukui | 0.39 | 47 | 0.33 | 47 |
Yamanashi | 0.70 | 34 | 0.57 | 36 |
Nagano | 0.60 | 40 | 0.50 | 40 |
Gifu | 0.76 | 26 | 0.60 | 34 |
Shizuoka | 0.83 | 12 | 0.70 | 18 |
Aichi | 0.84 | 10 | 0.71 | 16 |
Mie | 0.75 | 29 | 0.63 | 31 |
Shiga | 0.65 | 37 | 0.50 | 41 |
Kyoto | 0.62 | 39 | 0.53 | 39 |
Osaka | 0.80 | 19 | 0.68 | 21 |
Hyogo | 0.82 | 16 | 0.71 | 15 |
Nara | 0.77 | 23 | 0.63 | 29 |
Wakayama | 0.52 | 45 | 0.46 | 45 |
Tottori | 0.59 | 43 | 0.50 | 43 |
Shimane | 0.63 | 38 | 0.55 | 37 |
Okayama | 0.65 | 36 | 0.55 | 38 |
Hiroshima | 0.73 | 31 | 0.64 | 27 |
Yamaguchi | 0.75 | 30 | 0.69 | 19 |
Tokushima | 0.59 | 41 | 0.50 | 42 |
Kagawa | 0.68 | 35 | 0.57 | 35 |
Ehime | 0.72 | 33 | 0.64 | 28 |
Kochi | 0.75 | 28 | 0.69 | 20 |
Fukuoka | 0.83 | 14 | 0.73 | 10 |
Saga | 0.76 | 25 | 0.62 | 33 |
Nagasaki | 0.83 | 13 | 0.75 | 9 |
Kumamoto | 0.87 | 6 | 0.78 | 6 |
Oita | 0.81 | 17 | 0.72 | 12 |
Miyazaki | 0.85 | 9 | 0.78 | 7 |
Kagoshima | 0.88 | 4 | 0.84 | 2 |
Okinawa | 0.87 | 5 | 0.76 | 8 |