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Table 4 Factor decomposition of the compositional effect in Japan, by sector and prefecture

From: Regional energy demand in Japan: dynamic shift-share analysis

  Industrial sector      Civil sector       Transportation sector
  Non-manufacturing Manufacturing   Residential Commercial and others  
  Agriculture, forestry, and fishery Construction and mining Chemical, chemical textile, pulp and paper Iron and steel, non-ferrous metals, cement and ceramics Machinery   Water supply, sewage and waste disposal Trade and finance services Public services Commercial services Retail services Cars
Correlation coefficient between the composition effect and location quotient 0.21 0.89 −0.74 −0.69 0.16 0.95 0.79 0.86 0.87 0.93 0.94 0.81
Five top-ranking prefectures in compositional effect: location quotient
 Tokyo 0.06 2.35 0.04 0.10 0.59 1.90 2.69 3.18 2.47 2.69 2.62 1.07
 Okinawa 1.66 1.66 0.01 0.25 0.00 1.69 1.66 1.66 1.68 1.66 1.66 2.47
 Nara 0.65 1.93 0.02 0.01 0.96 2.06 1.87 1.35 1.93 1.49 1.55 2.07
 Kyoto 0.30 1.25 0.16 0.28 1.86 1.82 2.06 2.05 1.88 1.76 1.80 1.25
 Ishikawa 2.14 1.55 0.09 0.07 1.27 1.74 0.87 1.68 1.48 1.70 1.72 2.23
Five bottom-ranking prefectures in compositional effect: location quotient
 Mie 1.11 0.52 2.84 0.19 0.98 0.44 0.38 0.30 0.41 0.41 0.42 0.68
 Chiba 0.24 0.50 2.29 1.25 0.18 0.47 0.66 0.31 0.45 0.36 0.36 0.47
 Yamaguchi 0.63 0.38 2.35 1.16 0.30 0.39 0.34 0.29 0.32 0.38 0.39 0.51
 Okayama 0.18 0.28 2.15 1.61 0.43 0.27 0.21 0.23 0.20 0.27 0.27 0.33
 Oita 0.82 0.30 1.77 2.08 0.17 0.24 0.06 0.19 0.27 0.25 0.26 0.39
  1. Notes: Location quotient is the value of 1990 (t = 1990)