Regional energy demand in Japan: dynamic shift-share analysis

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

	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

ISSN: 2192-0567