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Efw security and wider impacts of each scenario are assessed in this research through the application of an (35)

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501 Table C – 49 Matrix of input output table update in Vietnam 2030 with 22 sectors (with A normalized) (continued) Code PA S OC OP C LS R PL PP PO F EIF EIH EIR EIS D M PA 13,527 32 0 00 0 00 0 00 0[.]

501 Table C – 49 Matrix of input-output table update in Vietnam 2030 with 22 sectors (with A normalized) (continued) Code PA S OC OP C LS R PL PP PO F EIF EIH EIR EIS D 13,527.32 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-S 0.00 1,158.68 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-OC 0.00 0.00 4,841.22 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-OP 0.00 0.00 0.00 12,967.09 62.18 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-C 0.00 0.00 0.00 60.27 1,964.16 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-LS 0.00 0.00 0.00 0.00 0.00 23,689.17 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-R 0.00 0.00 0.00 0.00 0.00 0.00 678.74 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-PL 0.00 0.00 0.00 0.00 0.00 0.00 0.00 9,724.21 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-PP 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 5,176.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-PO 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 5,509.85 0.00 0.00 0.00 0.00 0.00 0.00 M-F 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 16,374.46 0.00 0.00 0.00 0.00 0.00 M-EIF 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 5,208.95 1,536.32 1,436.33 909.07 0.00 M-EIH 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1,536.32 453.12 423.63 268.12 0.00 M-EIR 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1,436.33 423.63 396.05 250.67 0.00 M-EIS 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 909.07 268.12 250.67 158.65 0.00 M-D 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1,047.08 M-WS 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-WM 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-SE 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-MW 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-I 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 M-SER 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 L 1,317.73 139.67 391.30 84.61 275.90 1,297.33 15,224.26 8,930.14 9,955.61 315.25 94,470.53 12,347.62 3,641.79 3,404.75 2,154.91 566.64 T 26,556.28 657.12 4,518.29 374.95 571.02 8,793.18 2,144.72 7,035.21 3,034.45 101.91 5,542.82 10,266.30 3,027.93 2,830.85 1,791.68 395.04 K 254.39 26.97 75.54 3.16 10.95 115.10 501.32 174.39 292.35 1.99 4,034.47 473.22 139.57 130.49 82.59 14.94 ∑ 61,611.49 3,289.72 17,606.81 21,527.99 7,274.16 80,051.69 53,265.44 95,027.04 50,525.72 12,715.35 136,521.90 48,951.23 14,437.62 13,497.90 8,542.97 3,131.00 M-PA Source: Estimates based on modelling developed in this research (Unit: Million USD)

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