(258) 81 2, % 96 6, % nergy IntensitySpecific nergy Consumption Descriptive Indicators xplanatory Indicators Production ffectstructure f

(257) 96 49.9% 96 13 95 11% 2007 3.1 23.9% 96 1.9 14.5% 95 25%

(258) 81 2,749 30.6% 96 6,263 49.9% nergy IntensitySpecific nergy Consumption Descriptive Indicators xplanatory Indicators Production ffectstructure ffect Intensity ffect Aromatics Naphthathane Cracker 産 BTX Reformat LDP HDP SM PS ABS VCM PVC G PP AN PPG IPA 2- H SBR BR NBR ABS

(259) 1 1 ITIS 96 3 5,766 92 2 88 78% 15.5% 95 16.6% 96 100 92 9,833 96 1 9,066 18.0% 92 1,584 96 2,089 7.2% 92 2,660 96 2,632

(260) -0.3% 92 5,323 96 1 1,125 20.2% 92 688 96 855 5.6% 1 2 1 92 93 94 95 96 96 983,340 1,327,532 1,402,178 1,532,793 1,906,560 53.31% 22.9% 35.0% 5.6% 9.3% 24.4% 158,407 177,367 181,686 197,043 208,874 5.84% 10.0% 12.0% 2.4% 8.5% 6.0% 265,976 284,150 270,705 258,566 263,231 7.36% 2.0% 6.8% -4.7% -4.5% 1.8% 532,295 692,566 880,765 999,409 1,112,505 31.10% 23.3% 30.1% 27.2% 13.5% 11.3% 68,839 78,430 76,965 79,872 85,456 2.39% 2.0% 6.8% -4.7% -4.5% 1.8% 2,008,857 2,560,045 2,812,299 3,067,683 3,576,626 100.00% 18.2% 27.4% 9.9% 9.1% 16.6% 97 2 97

(261) 96 96 24.4% 96 5 A 120 93 17.6 B 127 60 SM 6 PSC 60 D 3 HDP 4 AN 10 VCM 1.4 MMA 96 SM 2 81 73.4 96 366.6 11.3% 88 90 96 95 96 26.9% 81 96 ABS 12.2% 12.0% 8.8% 96 49.3% 17.3% 10.2% 81 96 酼 16.9% 8.5% 6.4% 94 96 25.7-0.1% 443.7 0.8% 179.5 33.7% 2 2 ABS 酼 81 73.4 21.1 103.9 22.5 33.2 49.4 56.4 10.2 130.3 17.2 82 74.2 21.7 107.8 22.0 37.0 55.0 63.7 7.5 163.3 16.7 83 88.9 22.4 111.6 34.1 38.6 62.6 73.5 10.4 179.3 17.9 84 87.4 20.8 97.7 41.7 42.5 67.6 75.9 10.8 214.0 19.2 85 90.6 23.3 110.7 44.8 41.1 80.8 91.1 10.4 221.0 19.4 86 95.9 23.5 116.0 42.0 46.4 79.0 90.6 11.4 234.5 19.3 87 93.5 22.4 116.0 41.8 38.6 79.0 89.9 12.3 243.3 20.6 88 129.6 23.6 139.7 51.7 80.6 76.8 101.6 11.9 276.9 30.1

(262) ABS 酼 89 159.2 27.3 138.9 56.4 95.6 70.4 106.4 17.1 314.0 61.2 90 258.4 47.7 143.3 77.3 114.6 80.3 98.5 18.4 321.7 103.6 91 239.3 49.2 147.0 83.0 124.9 77.1 107.8 18.6 370.5 93.9 92 267.9 53.6 150.5 93.7 127.4 76.8 110.5 21.6 407.9 116.9 93 286.4 60.9 159.2 102.0 124.7 73.9 116.6 21.6 462.0 145.9 94 290.0 64.3 148.0 109.7 124.8 77.2 121.1 24.7 459.7 141.3 95 288.8 59.7 137.3 117.4 122.2 71.3 127.4 25.7 440.0 134.3 96 366.6 70.0 151.2 126.2 182.4 76.1 132.4 25.7 443.7 179.5 95-96 26.9% 17.3% 10.2% 7.4% 49.3% 6.6% 4.0% -0.1% 0.8% 33.7% 80-96 11.3% 8.4% 2.5% 12.2% 12.0% 2.9% 5.9% 6.4% 8.5% 16.9% 2008 81 5,701 96 12,103 5.2% 81 2,749 48.2% 96 6,263 51.8% 5.6% 96 13.1% 11.2% 10.0% 8.7% 4.3% 0.9% 81 96 3 3 3 10 3 KLO 81 86 91 96 5,074 8.9% 7,767 10.5% 9,411 9.2% 10,486 8.7% 5.0% 27,493 48.2% 34,466 46.4% 49,538 48.6% 62,631 51.7% 5.6% 9,909 17.4% 13,099 17.6% 15,171 14.9% 15,899 13.1% 3.2% 1,376 2.4% 1,441 1.9% 1,523 1.5% 1,082 0.9% -1.6% 3,423 6.0% 4,649 6.3% 10,186 10.0% 12,171 10.0% 8.8% 6,938 12.2% 9,150 12.3% 12,050 11.8% 13,569 11.2% 4.6% 2,720 4.8% 3,643 4.9% 3,993 3.9% 5,191 4.3% 4.4% 57,013 100% 74,302 100% 101,963 100% 121,125 100% 5.2% 96 97

(263) 3 96 97 81 2,749 30.6% 11.5% 11.1% 9.5% 5.7% 4.4% 4.0% 3.8% 96 6,263 49.9% 13.3% 9.6% 4.3% 3.5% 2.7% 2.6% 2.3% 4 81 30.6% 96 49.9% 4 96 97

(264) 81 96 53% 64% 23% 10.1% 13% 0.3% 1% 90 96 3,136 95 21% 5,695 3 4 5 4 KLO 81 1,027,750 12.2% 5,008,788 59.2% 35,942 0.4% 2,383,590 28.2% 82 1,097,728 13.0% 4,938,201 58.6% 36,944 0.4% 2,349,728 27.9% 83 1,135,230 11.5% 6,128,596 62.2% 49,323 0.5% 2,537,000 25.8% 84 1,081,831 10.7% 6,274,697 62.1% 70,139 0.7% 2,681,657 26.5% 85 1,170,906 11.1% 6,426,706 61.0% 102,314 1.0% 2,835,025 26.9% 86 1,142,231 10.1% 6,925,990 61.3% 93,104 0.8% 3,130,581 27.7% 87 1,434,306 12.6% 6,423,525 56.6% 83,748 0.7% 3,410,038 30.0% 88 1,522,394 12.4% 6,744,874 54.9% 86,368 0.7% 3,920,995 31.9% 89 2,162,508 14.1% 8,265,178 53.8% 82,894 0.5% 4,845,217 31.6% 90 2,429,867 11.5% 13,433,903 63.4% 68,187 0.3% 5,270,110 24.9% 91 2,498,408 11.5% 13,398,370 61.8% 104,132 0.5% 5,669,993 26.2% 92 2,444,724 10.5% 14,717,605 62.9% 132,027 0.6% 6,087,591 26.0% 93 2,622,111 10.4% 16,050,633 63.5% 167,001 0.7% 6,418,820 25.4% 94 2,584,684 10.4% 15,633,625 63.0% 159,141 0.6% 6,430,609 25.9% 95 3,021,236 11.6% 16,136,283 62.0% 155,392 0.6% 6,705,725 25.8% 96 3,848,014 12.3% 20,043,139 63.9% 157,550 0.5% 7,306,650 23.3% 97

(265) 5 Decomposition methodology 念理 Worrell, Farla, Park 念理 specific energy consumption, SC 理 physical energy intensity Worrell et al. 1994 12 Worrell et al. 1995 Phylipsen et al. 1997 Farla and Blok 2000 Nanduri et al. 2002

(266) Phylipsen et al. 2002 2000 bottom-up Farla et al. 1997 OCD x SCx Px x x P x x 理 simple average parametric Divisia method 2, AV-PDM2 Production effect Structure effect Intensity effectpark 2000 Worrell 1992 1997 Ozawa et al. 2002 1970-1996 CO 2 disaggregated level 理 P PPI/P PPI /PPI

(267) n n PPI x 1 P n x 1 x 1 P PPI x 1 n 0 t Δ0,t(ACT)Δ0,t(STR)0,t(FF)RD Δ Δ Δ Δ RD 0, t 0,t(ACT) 0,t(STR) 0, t(ff) n PPI (t) PPI (0) x(t) x(0) Δ pdn [(P(t) P(0) ) ( ) ( )/4] 1 P P PPI PPI x (t) (0) (t) (0) n PPI (t) PPI (0) x(t) x(0) Δ str [(P(t) P(0) ) ( ) ( )/4] 1 P P PPI PPI x (t) (0) (t) (0) n PPI (t) PPI (0) x(t) x(0) Δ int [(P(t) P(0) ) ( ) ( )/4] 1 P P PPI PPI x (t) (0) (t) (0) ΔSCstr ΔSCint RD ΔSC ΔSC st ΔSC int RD n x(0) x(t) PPI (t) PPI (0) ΔSCstr 0.5 [( ) ( )] 1 PPI PPI P P x (0) n PPI (0) PPI (t) x(t) x(0) ΔSCint 0.5 [( ) ( )] x 1 P P PPI PPI x(0) x(t) (t) x(t) (t) 80 96 x(0) (0)

(268) 1. (1) 38% (2) 2. ABS 80-96 5 5 590.67 loe/ton LDP PVC PP SM PS ABS ABS CPL PTA G 理 109.53 loe/ton 138.21 loe/ton 105.2 loe/ton 395.82 loe/ton 31.78 loe/ton 131.78 loe/ton 271.21 loe/ton 135.89 loe/ton 122.29 loe/ton

(269) 80 80 90 96 SM 96 80 16,127 29,071-3,587 80 96-9,916 80 6 6 97 10 80 80 88 7

(270) 80 90 理 7 理 97 10 1. 90 2. 3. 理 4.

(271) 5. Best Practice 5 1. Ang B.W., Zhang F.Q. (2000), A survey of index decomposition analysis in energy and environmental studies, nergy, 25, pp.1149-1176. 2. ARMOS 3. Binay Kumar Ray and B. Sudhakara Reddy (2008), Understanding industrial energy use:physical energy intensity changes in Indian manufacturing sector, Indira Gandhi Institute of Development Research, Mumbai. 4. J. Farla, K. Blok and L.J. Schipper (1997), nergy efficiency developments in the pulp and paper industry a cross-country comparison using physical production data. nergy Policy 25, pp.745-758. 5. J.C.M. Farla and K. Blok (2000), The use of physical indicators for the monitoring of energy intensity developments in the Netherlands, 1980-1995, nergy 25, pp.609-638. 6. Jacco C.M. Farla, Kornelis Blok (2001), The quality of energy intensity indicators for international comparison in the iron and steel industry, nergy Policy, 29, pp.523-543. 7. Jean-Thomas Bernarda, Bruno Côté (2005), The measurement of the energy intensity of manufacturing industries: a principal components analysis, nergy Policy 33, pp. 221 233. 8. M. Nanduri, J. Nyboer and M. Jaccard (2002), Aggregating physical intensity indicators: results of applying the composite indicator approach to the Canadian industrial sector, nergy Policy 30 (2002), pp.151-163. 9. Niels J. Schenk, Henri C. Moll (2007), The use of physical indicators for industrial energy demand scenarios, cological conomics, 63, pp.521-535. 10. Ozawa, L., C. Sheinbaum, N. Martin,. Worrell, and L. Price (2002), nergy Use and CO2 missions in Mexico s Iron and Steel Industry, nergy, 27, 225-239. 11. Phylipsen, G. J. M., Block, K. and Worrell,. (1997). International comparisons of energy efficiency- Methodologies for the manufacturing industry. nergy Policy, Vol.25, No.7-9, pp.715-725. 12. Worrell,., Price, L., Martin, N., Farla, J., Schaeffer, R. (1997), nergy intensity in the iron and steel industry: a comparison of physical and economic indicators, nergy Policy, Vol.25 No.7-9, pp.727-744. 13. (2008) 14. (2008) 97 7 15. 2008http://assist.nat.gov.tw/GIP/wSite/ct?xItem=10876&ctNode= 23&mp=2 16. 200896 17. 2008