The Official Journal of the Pan-Pacific Association of Input-Output Studies (PAPAIOS)
Table 4 Changes in environmental efficiency in the 46 prefectures
From: Accounting for resource accumulation in Japanese prefectures: an environmental efficiency analysis
Region | Prefecture | ML all | MLEFFCH all | MLTECH all | ML env | MLEFFCH env | MLTECH env |
|---|---|---|---|---|---|---|---|
Hokkaido | Hokkaido | 1.125 | 0.884 | 1.273 | 0.998 | 1.004 | 0.993 |
Tohoku | Aomori | 1.092 | 0.934 | 1.170 | 0.921 | 1.000 | 0.921 |
Iwate | 1.026 | 0.969 | 1.059 | 0.899 | 1.034 | 0.870 | |
Miyagi | 1.148 | 0.994 | 1.155 | 0.957 | 1.016 | 0.942 | |
Akita | 1.230 | 1.000 | 1.230 | 0.972 | 1.000 | 0.972 | |
Yamagata | 1.036 | 1.024 | 1.012 | 0.823 | 0.984 | 0.837 | |
Fukushima | 1.444 | 1.164 | 1.241 | 0.985 | 1.006 | 0.979 | |
Kanto | Ibaraki | 1.381 | 1.079 | 1.281 | 0.995 | 1.000 | 0.995 |
Tochigi | 1.293 | 1.076 | 1.202 | 0.967 | 1.001 | 0.966 | |
Gunma | 1.093 | 0.969 | 1.128 | 0.976 | 1.054 | 0.926 | |
Saitama | 0.922 | 0.901 | 1.023 | 0.902 | 1.074 | 0.840 | |
Chiba | 1.099 | 0.858 | 1.281 | 1.000 | 1.000 | 1.000 | |
Tokyo | 1.198 | 1.000 | 1.198 | 0.996 | 1.000 | 0.996 | |
Kanagawa | 1.147 | 0.900 | 1.274 | 0.999 | 1.000 | 0.999 | |
Chubu | Niigata | 1.223 | 1.035 | 1.181 | 0.913 | 0.997 | 0.916 |
Toyama | 1.260 | 1.001 | 1.258 | 1.003 | 1.013 | 0.991 | |
Ishikawa | 1.127 | 0.991 | 1.138 | 0.981 | 1.064 | 0.922 | |
Fukui | 1.280 | 1.051 | 1.218 | 0.946 | 1.000 | 0.946 | |
Yamanashi | 1.150 | 1.000 | 1.150 | 0.860 | 0.939 | 0.915 | |
Nagano | 1.129 | 1.065 | 1.060 | 0.796 | 0.903 | 0.881 | |
Gifu | 0.927 | 0.827 | 1.121 | 0.946 | 1.007 | 0.939 | |
Shizuoka | 1.425 | 1.137 | 1.253 | 0.995 | 1.002 | 0.994 | |
Aichi | 1.277 | 1.001 | 1.276 | 0.999 | 0.999 | 1.000 | |
Kinki | Mie | 1.466 | 1.154 | 1.271 | 1.003 | 1.000 | 1.003 |
Shiga | 1.221 | 1.000 | 1.221 | 1.009 | 1.000 | 1.009 | |
Kyoto | 0.820 | 0.925 | 0.887 | 0.975 | 1.066 | 0.914 | |
Osaka | 0.829 | 0.840 | 0.987 | 0.931 | 1.011 | 0.921 | |
Hyogo | 1.125 | 0.878 | 1.281 | 1.000 | 1.000 | 0.999 | |
Nara | 1.015 | 1.000 | 1.015 | 1.060 | 1.000 | 1.060 | |
Wakayama | 1.178 | 0.938 | 1.255 | 1.000 | 0.999 | 1.000 | |
Chugoku | Tottori | na | na | na | na | na | na |
Shimane | 1.052 | 0.971 | 1.083 | 0.894 | 1.061 | 0.842 | |
Okayama | 1.103 | 0.899 | 1.227 | 0.999 | 0.999 | 0.999 | |
Hiroshima | 1.226 | 1.008 | 1.216 | 1.000 | 0.999 | 1.000 | |
Yamaguchi | 1.184 | 0.945 | 1.253 | 1.000 | 1.000 | 1.000 | |
Shikoku | Tokushima | 1.149 | 0.999 | 1.151 | 0.987 | 1.004 | 0.983 |
Kagawa | 0.989 | 0.865 | 1.143 | 0.960 | 1.024 | 0.937 | |
Ehime | 1.033 | 0.932 | 1.108 | 1.000 | 1.000 | 1.000 | |
Kochi | na | na | na | na | na | na | |
Kyushu | Fukuoka | 0.909 | 0.794 | 1.145 | 1.000 | 0.999 | 1.000 |
Saga | 1.110 | 1.077 | 1.031 | 0.836 | 1.072 | 0.780 | |
Nagasaki | 0.862 | 0.955 | 0.903 | 0.975 | 1.025 | 0.951 | |
Kumamoto | 0.924 | 0.949 | 0.974 | 0.946 | 1.059 | 0.893 | |
Oita | 1.226 | 1.005 | 1.219 | 0.999 | 1.000 | 0.999 | |
Miyazaki | 0.864 | 0.944 | 0.916 | 0.893 | 1.025 | 0.872 | |
Kagoshima | 0.953 | 0.998 | 0.955 | 0.887 | 1.007 | 0.880 | |
| Â | Geometric mean | 1.108 | 0.972 | 1.140 | 0.957 | 1.010 | 0.948 |