iVOD / 167420

Field Value
IVOD_ID 167420
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167420
日期 2026-03-03
會議資料.會議代碼 院會-11-5-1
會議資料.會議代碼:str 第11屆第5會期第1次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 1
會議資料.種類 院會
會議資料.標題 第11屆第5會期第1次會議
影片種類 Clip
開始時間 2026-03-03T10:37:14+08:00
結束時間 2026-03-03T10:53:34+08:00
影片長度 00:16:20
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/321e35c043cc325ba476758e6e97b32405351cf5c593b4e367addb1cb79b2347c86df9d5e1265cba5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 洪孟楷
委員發言時間 10:37:14 - 10:53:34
會議時間 2026-03-03T09:00:00+08:00
會議名稱 第11屆第5會期第1次會議(事由:一、行政院院長提出施政方針及施政報告並備質詢(2月24日下午)。二、行政院院長提出臺美關稅談判結果及其影響專案報告並備質詢(3月3日)。)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 10.29096875
transcript.pyannote[0].end 14.94846875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 23.82471875
transcript.pyannote[1].end 23.84159375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 23.84159375
transcript.pyannote[2].end 24.39846875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 24.39846875
transcript.pyannote[3].end 24.97221875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 26.03534375
transcript.pyannote[4].end 34.10159375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 34.28721875
transcript.pyannote[5].end 38.72534375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 38.94471875
transcript.pyannote[6].end 42.03284375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 42.40409375
transcript.pyannote[7].end 49.84596875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 50.13284375
transcript.pyannote[8].end 50.62221875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 50.80784375
transcript.pyannote[9].end 51.16221875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 52.10721875
transcript.pyannote[10].end 52.20846875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 52.49534375
transcript.pyannote[11].end 53.47409375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 53.72721875
transcript.pyannote[12].end 62.23221875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 62.26596875
transcript.pyannote[13].end 66.24846875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 66.38346875
transcript.pyannote[14].end 80.59221875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 80.74409375
transcript.pyannote[15].end 80.76096875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 80.76096875
transcript.pyannote[16].end 80.94659375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 80.94659375
transcript.pyannote[17].end 81.03096875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 81.03096875
transcript.pyannote[18].end 81.45284375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 81.45284375
transcript.pyannote[19].end 81.80721875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 81.80721875
transcript.pyannote[20].end 81.92534375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 81.92534375
transcript.pyannote[21].end 82.02659375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 82.02659375
transcript.pyannote[22].end 100.03221875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 83.42721875
transcript.pyannote[23].end 84.70971875
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 95.08784375
transcript.pyannote[24].end 95.18909375
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 95.25659375
transcript.pyannote[25].end 95.32409375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 100.09971875
transcript.pyannote[26].end 106.36034375
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 106.59659375
transcript.pyannote[27].end 115.72596875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 113.12721875
transcript.pyannote[28].end 113.46471875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 113.46471875
transcript.pyannote[29].end 113.48159375
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 115.97909375
transcript.pyannote[30].end 117.68346875
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 118.13909375
transcript.pyannote[31].end 118.74659375
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 118.94909375
transcript.pyannote[32].end 124.33221875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 123.57284375
transcript.pyannote[33].end 131.72346875
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 124.70346875
transcript.pyannote[34].end 125.00721875
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 132.51659375
transcript.pyannote[35].end 151.18034375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 133.96784375
transcript.pyannote[36].end 134.28846875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 134.92971875
transcript.pyannote[37].end 135.23346875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 150.03284375
transcript.pyannote[38].end 157.00221875
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 156.25971875
transcript.pyannote[39].end 157.10346875
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 157.22159375
transcript.pyannote[40].end 158.16659375
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 158.31846875
transcript.pyannote[41].end 161.69346875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 161.86221875
transcript.pyannote[42].end 162.46971875
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 162.06471875
transcript.pyannote[43].end 163.56659375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 163.06034375
transcript.pyannote[44].end 164.84909375
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 164.76471875
transcript.pyannote[45].end 166.53659375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 166.14846875
transcript.pyannote[46].end 169.87784375
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 169.45596875
transcript.pyannote[47].end 172.08846875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 170.65409375
transcript.pyannote[48].end 174.28221875
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 174.46784375
transcript.pyannote[49].end 178.90596875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 175.73346875
transcript.pyannote[50].end 176.08784375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 178.04534375
transcript.pyannote[51].end 181.23471875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 180.93096875
transcript.pyannote[52].end 183.96846875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 183.96846875
transcript.pyannote[53].end 199.10534375
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 184.35659375
transcript.pyannote[54].end 185.67284375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 199.52721875
transcript.pyannote[55].end 202.95284375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 203.27346875
transcript.pyannote[56].end 205.12971875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 205.33221875
transcript.pyannote[57].end 206.26034375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 205.34909375
transcript.pyannote[58].end 206.29409375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 206.29409375
transcript.pyannote[59].end 206.96909375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 206.96909375
transcript.pyannote[60].end 214.96784375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 208.28534375
transcript.pyannote[61].end 208.55534375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 212.50409375
transcript.pyannote[62].end 215.28846875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 214.96784375
transcript.pyannote[63].end 216.25034375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 216.09846875
transcript.pyannote[64].end 223.42221875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 224.38409375
transcript.pyannote[65].end 234.98159375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 235.31909375
transcript.pyannote[66].end 238.08659375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 238.59284375
transcript.pyannote[67].end 242.17034375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 242.71034375
transcript.pyannote[68].end 253.98284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 251.65409375
transcript.pyannote[69].end 251.68784375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 252.12659375
transcript.pyannote[70].end 252.19409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 253.93221875
transcript.pyannote[71].end 254.26971875
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 254.18534375
transcript.pyannote[72].end 256.58159375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 257.34096875
transcript.pyannote[73].end 260.29409375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 259.63596875
transcript.pyannote[74].end 259.88909375
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 260.58096875
transcript.pyannote[75].end 263.39909375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 263.98971875
transcript.pyannote[76].end 266.74034375
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 266.30159375
transcript.pyannote[77].end 279.36284375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 279.58221875
transcript.pyannote[78].end 280.67909375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 280.89846875
transcript.pyannote[79].end 292.67721875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 293.33534375
transcript.pyannote[80].end 297.35159375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 297.35159375
transcript.pyannote[81].end 299.05596875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 299.46096875
transcript.pyannote[82].end 300.76034375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 299.59596875
transcript.pyannote[83].end 299.62971875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 299.62971875
transcript.pyannote[84].end 299.66346875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 301.19909375
transcript.pyannote[85].end 301.63784375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 301.67159375
transcript.pyannote[86].end 303.00471875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 303.32534375
transcript.pyannote[87].end 309.95721875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 310.21034375
transcript.pyannote[88].end 312.40409375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 312.74159375
transcript.pyannote[89].end 323.05221875
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 315.66096875
transcript.pyannote[90].end 318.52971875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 323.28846875
transcript.pyannote[91].end 326.84909375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 327.27096875
transcript.pyannote[92].end 327.52409375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 327.79409375
transcript.pyannote[93].end 344.12909375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 334.07159375
transcript.pyannote[94].end 335.96159375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 336.67034375
transcript.pyannote[95].end 336.90659375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 344.34846875
transcript.pyannote[96].end 350.91284375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 347.09909375
transcript.pyannote[97].end 348.75284375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 349.86659375
transcript.pyannote[98].end 354.01784375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 351.52034375
transcript.pyannote[99].end 351.95909375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 353.96721875
transcript.pyannote[100].end 356.32971875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 355.19909375
transcript.pyannote[101].end 373.81221875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 357.34221875
transcript.pyannote[102].end 357.86534375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 374.18346875
transcript.pyannote[103].end 382.28346875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 382.55346875
transcript.pyannote[104].end 382.80659375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 383.66721875
transcript.pyannote[105].end 385.67534375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 386.28284375
transcript.pyannote[106].end 388.96596875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 388.56096875
transcript.pyannote[107].end 388.61159375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 388.96596875
transcript.pyannote[108].end 397.69034375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 389.03346875
transcript.pyannote[109].end 390.01221875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 391.90221875
transcript.pyannote[110].end 393.53909375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 393.89346875
transcript.pyannote[111].end 394.06221875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 396.99846875
transcript.pyannote[112].end 399.71534375
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 399.71534375
transcript.pyannote[113].end 405.31784375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 405.57096875
transcript.pyannote[114].end 408.67596875
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 409.43534375
transcript.pyannote[115].end 413.51909375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 413.80596875
transcript.pyannote[116].end 415.13909375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 416.26971875
transcript.pyannote[117].end 430.29284375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 425.55096875
transcript.pyannote[118].end 425.98971875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 430.66409375
transcript.pyannote[119].end 444.99096875
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 445.56471875
transcript.pyannote[120].end 450.22221875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 450.89721875
transcript.pyannote[121].end 452.98971875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 453.49596875
transcript.pyannote[122].end 457.71471875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 458.72721875
transcript.pyannote[123].end 461.98409375
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 462.32159375
transcript.pyannote[124].end 467.65409375
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 467.99159375
transcript.pyannote[125].end 468.97034375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 470.03346875
transcript.pyannote[126].end 470.84346875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 470.18534375
transcript.pyannote[127].end 474.01596875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 474.25221875
transcript.pyannote[128].end 474.64034375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 474.89346875
transcript.pyannote[129].end 488.12346875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 474.94409375
transcript.pyannote[130].end 475.46721875
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 488.54534375
transcript.pyannote[131].end 488.81534375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 489.32159375
transcript.pyannote[132].end 492.22409375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 492.62909375
transcript.pyannote[133].end 494.18159375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 494.70471875
transcript.pyannote[134].end 499.05846875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 499.39596875
transcript.pyannote[135].end 500.25659375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 500.66159375
transcript.pyannote[136].end 504.98159375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 505.57221875
transcript.pyannote[137].end 509.18346875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 509.97659375
transcript.pyannote[138].end 515.51159375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 515.79846875
transcript.pyannote[139].end 517.04721875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 517.58721875
transcript.pyannote[140].end 522.73409375
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 523.05471875
transcript.pyannote[141].end 524.79284375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 525.34971875
transcript.pyannote[142].end 533.02784375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 533.48346875
transcript.pyannote[143].end 535.13721875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 535.37346875
transcript.pyannote[144].end 538.15784375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 538.32659375
transcript.pyannote[145].end 538.34346875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 538.34346875
transcript.pyannote[146].end 540.67221875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 539.03534375
transcript.pyannote[147].end 549.80159375
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 550.17284375
transcript.pyannote[148].end 551.55659375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 551.74221875
transcript.pyannote[149].end 553.36221875
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 553.58159375
transcript.pyannote[150].end 558.64409375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 559.63971875
transcript.pyannote[151].end 561.58034375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 559.96034375
transcript.pyannote[152].end 565.10721875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 564.33096875
transcript.pyannote[153].end 564.56721875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 565.15784375
transcript.pyannote[154].end 593.89596875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 567.30096875
transcript.pyannote[155].end 567.77346875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 594.16596875
transcript.pyannote[156].end 597.52409375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 597.62534375
transcript.pyannote[157].end 606.06284375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 606.18096875
transcript.pyannote[158].end 626.88659375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 621.89159375
transcript.pyannote[159].end 622.19534375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 626.09346875
transcript.pyannote[160].end 632.08409375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 628.08471875
transcript.pyannote[161].end 628.74284375
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 632.47221875
transcript.pyannote[162].end 636.13409375
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 636.99471875
transcript.pyannote[163].end 638.74971875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 639.76221875
transcript.pyannote[164].end 640.60596875
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 640.16721875
transcript.pyannote[165].end 641.75346875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 640.92659375
transcript.pyannote[166].end 651.35534375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 650.27534375
transcript.pyannote[167].end 657.48096875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 651.70971875
transcript.pyannote[168].end 653.17784375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 654.05534375
transcript.pyannote[169].end 660.65346875
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 658.03784375
transcript.pyannote[170].end 658.32471875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 659.25284375
transcript.pyannote[171].end 659.43846875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 659.84346875
transcript.pyannote[172].end 662.42534375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 662.18909375
transcript.pyannote[173].end 666.84659375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 663.74159375
transcript.pyannote[174].end 666.25596875
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 666.84659375
transcript.pyannote[175].end 680.00909375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 666.88034375
transcript.pyannote[176].end 667.04909375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 668.43284375
transcript.pyannote[177].end 669.22596875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 672.87096875
transcript.pyannote[178].end 674.79471875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 680.53221875
transcript.pyannote[179].end 681.93284375
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 682.18596875
transcript.pyannote[180].end 692.37846875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 692.14221875
transcript.pyannote[181].end 703.53284375
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 695.06159375
transcript.pyannote[182].end 696.46221875
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 701.76096875
transcript.pyannote[183].end 704.39346875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 703.95471875
transcript.pyannote[184].end 720.91409375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 708.81471875
transcript.pyannote[185].end 710.02971875
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 712.42596875
transcript.pyannote[186].end 713.86034375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 714.46784375
transcript.pyannote[187].end 714.82221875
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 715.21034375
transcript.pyannote[188].end 716.98221875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 717.99471875
transcript.pyannote[189].end 724.86284375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 723.27659375
transcript.pyannote[190].end 723.78284375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 725.41971875
transcript.pyannote[191].end 743.52659375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 726.22971875
transcript.pyannote[192].end 727.95096875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 728.71034375
transcript.pyannote[193].end 730.75221875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 738.71721875
transcript.pyannote[194].end 739.74659375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 742.42971875
transcript.pyannote[195].end 743.91471875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 743.88096875
transcript.pyannote[196].end 750.76596875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 751.39034375
transcript.pyannote[197].end 752.20034375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 752.67284375
transcript.pyannote[198].end 753.29721875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 753.48284375
transcript.pyannote[199].end 758.30909375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 757.88721875
transcript.pyannote[200].end 760.68846875
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 760.23284375
transcript.pyannote[201].end 780.28034375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 761.65034375
transcript.pyannote[202].end 763.33784375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 764.67096875
transcript.pyannote[203].end 765.16034375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 780.28034375
transcript.pyannote[204].end 783.16596875
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 783.48659375
transcript.pyannote[205].end 786.20346875
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 784.54971875
transcript.pyannote[206].end 785.27534375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 785.96721875
transcript.pyannote[207].end 786.37221875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 786.37221875
transcript.pyannote[208].end 786.84471875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 786.84471875
transcript.pyannote[209].end 786.96284375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 786.96284375
transcript.pyannote[210].end 787.01346875
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 787.01346875
transcript.pyannote[211].end 787.03034375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 787.03034375
transcript.pyannote[212].end 787.06409375
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 787.06409375
transcript.pyannote[213].end 787.36784375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 787.09784375
transcript.pyannote[214].end 787.35096875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 787.36784375
transcript.pyannote[215].end 791.40096875
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 787.85721875
transcript.pyannote[216].end 817.27034375
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 792.04221875
transcript.pyannote[217].end 794.62409375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 795.77159375
transcript.pyannote[218].end 796.27784375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 799.16346875
transcript.pyannote[219].end 800.02409375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 802.50471875
transcript.pyannote[220].end 810.53721875
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 817.77659375
transcript.pyannote[221].end 819.26159375
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 819.43034375
transcript.pyannote[222].end 822.78846875
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 823.12596875
transcript.pyannote[223].end 826.50096875
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 826.63596875
transcript.pyannote[224].end 827.58096875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 828.03659375
transcript.pyannote[225].end 838.31346875
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 838.66784375
transcript.pyannote[226].end 844.50659375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 844.48971875
transcript.pyannote[227].end 854.12534375
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 849.07971875
transcript.pyannote[228].end 852.16784375
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 852.18471875
transcript.pyannote[229].end 852.20159375
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 852.92721875
transcript.pyannote[230].end 857.36534375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 856.85909375
transcript.pyannote[231].end 863.10284375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 858.07409375
transcript.pyannote[232].end 864.73971875
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 865.98846875
transcript.pyannote[233].end 866.02221875
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 866.02221875
transcript.pyannote[234].end 869.02596875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 866.03909375
transcript.pyannote[235].end 866.24159375
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 866.98409375
transcript.pyannote[236].end 873.10971875
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 869.02596875
transcript.pyannote[237].end 874.22346875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 873.73409375
transcript.pyannote[238].end 874.98284375
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 874.79721875
transcript.pyannote[239].end 879.16784375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 877.69971875
transcript.pyannote[240].end 878.50971875
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 878.50971875
transcript.pyannote[241].end 879.96096875
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 879.96096875
transcript.pyannote[242].end 885.83346875
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 880.70346875
transcript.pyannote[243].end 880.72034375
transcript.pyannote[244].speaker SPEAKER_03
transcript.pyannote[244].start 884.19659375
transcript.pyannote[244].end 886.86284375
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 887.28471875
transcript.pyannote[245].end 891.35159375
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 891.95909375
transcript.pyannote[246].end 893.71409375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 892.02659375
transcript.pyannote[247].end 895.43534375
transcript.pyannote[248].speaker SPEAKER_03
transcript.pyannote[248].start 894.30471875
transcript.pyannote[248].end 897.22409375
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 897.81471875
transcript.pyannote[249].end 901.71284375
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 902.20221875
transcript.pyannote[250].end 917.89596875
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 918.13221875
transcript.pyannote[251].end 929.01659375
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 920.54534375
transcript.pyannote[252].end 921.30471875
transcript.pyannote[253].speaker SPEAKER_04
transcript.pyannote[253].start 921.30471875
transcript.pyannote[253].end 921.47346875
transcript.pyannote[254].speaker SPEAKER_04
transcript.pyannote[254].start 922.30034375
transcript.pyannote[254].end 922.46909375
transcript.pyannote[255].speaker SPEAKER_04
transcript.pyannote[255].start 922.60409375
transcript.pyannote[255].end 922.62096875
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 922.62096875
transcript.pyannote[256].end 926.43471875
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 926.43471875
transcript.pyannote[257].end 926.87346875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 927.12659375
transcript.pyannote[258].end 928.96596875
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 929.01659375
transcript.pyannote[259].end 929.13471875
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 940.89659375
transcript.pyannote[260].end 940.99784375
transcript.pyannote[261].speaker SPEAKER_03
transcript.pyannote[261].start 942.16221875
transcript.pyannote[261].end 943.02284375
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 944.28846875
transcript.pyannote[262].end 944.30534375
transcript.pyannote[263].speaker SPEAKER_03
transcript.pyannote[263].start 944.32221875
transcript.pyannote[263].end 945.03096875
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 957.97409375
transcript.pyannote[264].end 958.17659375
transcript.pyannote[265].speaker SPEAKER_03
transcript.pyannote[265].start 958.49721875
transcript.pyannote[265].end 958.73346875
transcript.pyannote[266].speaker SPEAKER_03
transcript.pyannote[266].start 958.90221875
transcript.pyannote[266].end 965.65221875
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 965.65221875
transcript.pyannote[267].end 965.82096875
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 971.49096875
transcript.pyannote[268].end 971.92971875
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 975.15284375
transcript.pyannote[269].end 978.94971875
transcript.whisperx[0].start 10.353
transcript.whisperx[0].end 38.332
transcript.whisperx[0].text 好 主席謝謝 麻煩請總統太院長好 請卓院長備詢鴻偉好 院長好今天算是15號 還算是過年期間不過我相信不管是團隊也好不管是我們立法院其實都已經正式上工代表說我們為台灣2350萬人共同努力打拚
transcript.whisperx[1].start 39.022
transcript.whisperx[1].end 65.843
transcript.whisperx[1].text 我們的心態都是一致的我們態度都是一致的早上我們先來討論這個關稅的議題的時候我要先請教一個國際形勢因為畢竟現在國際形勢變化萬千那個中東的一個形勢剛剛我知道有聽到經濟部部長也有講到是說我們現在的天然氣存量或是石油相關的部分主要會受到是中東的這個地區海峽的一個封鎖
transcript.whisperx[2].start 66.513
transcript.whisperx[2].end 94.934
transcript.whisperx[2].text 那但是上半個月是已經過了這海峽那下半個月現在已經有找替代了可是這是不是代表是說如果說這個戰事中東地區超過一個月以上的話確實對我們國內的天然氣或是石油是有影響的我們應該還有安全的存量對除了安全存量因為安全存量是持續的嘛我現在要請教的就很科學的問題我不是要套話但是就是說現在面臨到中東地區的一個形勢不知道大家會打多久
transcript.whisperx[3].start 95.407
transcript.whisperx[3].end 104.447
transcript.whisperx[3].text 那現在對於我們自己的一個能源的部分因為剛剛也有委員問到有沒有可能短時間包括說因為這樣子而造成能源的一個狀況這是國安問題來請回答
transcript.whisperx[4].start 106.67
transcript.whisperx[4].end 131.597
transcript.whisperx[4].text 報告委員 所以三月份的問題已經解決我們現在就開始啟動解決四月份的問題一步一步的把它解決掉那基本上是透過很多我們自己可以提前調貨就是跟非中東地區的部分我們會跟他講說因為我們會受影響的比例其實並不是說完全是中東地區來的油或天然氣而是經過海峽 還是說兩者都有
transcript.whisperx[5].start 132.714
transcript.whisperx[5].end 161.272
transcript.whisperx[5].text 主要是中東地區其他的部分比如說是來自澳洲或其他地區那個就不會有影響我們可以跟他們討論就是說我們原來跟你因為那個都是長約有沒有可能說我們提前提貨類似這樣的情況因為他總是要我們應變措施可能會跟其他地區沒有受戰火影響的譬如說澳洲等等提前提貨或者是說日本跟韓國也有其他的地區有一些貨我們可以跟他調
transcript.whisperx[6].start 163.153
transcript.whisperx[6].end 173.417
transcript.whisperx[6].text 跟日本跟韓國調貨日本韓國不會他們自己也有缺乏嗎因為這個是全世界的影響所以日本韓國有可能把他們原本有的貨來調給我們
transcript.whisperx[7].start 174.52
transcript.whisperx[7].end 198.645
transcript.whisperx[7].text 如果有機會的話他要從其他地方來的話那不然就是部長我們是已經有劇本了還是你現在天馬行空在想不是不是不是我們就是往這三個方向好這三個方向因為你在國會殿堂裡面本席要的就是確保我們國內的能源無餘這個是我們首要目標我相信你也一樣但我們要用什麼樣的方法我要的是點出這個問題請行政單位現在就要因應
transcript.whisperx[8].start 199.625
transcript.whisperx[8].end 222.334
transcript.whisperx[8].text 中東地區形勢有可能延長的狀況來做後續的劇本因應院長這樣可以嗎我們這兩天都在研議這樣的一個狀況那在最安全的考量之下找出多元的方式出來好 就包括剛剛經濟部長講的這幾個部分三個面向好 那另外第二個部分當然國人同胞在那邊所以我們也看到說有沒有撤僑的計畫
transcript.whisperx[9].start 224.431
transcript.whisperx[9].end 253.773
transcript.whisperx[9].text 本席先跟您報告一下剛剛最新的一個新聞美國對十個國家中東地區包括阿聯包括卡達等十個國家發布了大規模的撤離令也就是美國要求這十個國家撤僑德國也啟動了撤僑計畫優先接回附用那本席也知道外交部這邊已經統計了現在在中東地區我們差不多有三千多名的國人其中最多人是在沙烏地阿拉伯兩千多名嘛
transcript.whisperx[10].start 254.284
transcript.whisperx[10].end 280.392
transcript.whisperx[10].text 那到目前為止我們有沒有相關的一個計畫報告委員目前市長你的回答媒體已經看到我現在要問的是院長是啊就是說現在確實我現在要問的是院長就是說我們現在有沒有後續的計畫因為你的回答已經講了嘛目前沒有嘛要等空域開放嘛但是我們現在講是說中東地區有可能戰火我們當然希望世界趕快和平但是不是超視在我們
transcript.whisperx[11].start 280.984
transcript.whisperx[11].end 292.074
transcript.whisperx[11].text 那一樣的道理當美國當德國已經啟動了撤僑計畫的時候我們目前至少有沒有因應措施我們開始要研擬如果真的有一天必須要撤僑的話我們的包機在哪裡我們的應變
transcript.whisperx[12].start 293.393
transcript.whisperx[12].end 317.488
transcript.whisperx[12].text 方式在哪裡?橋包回來之後安置的地點在哪裡?到今天早上以前因為我們現在知道美國等國家展開了比較大規模的撤僑計畫所以在這個之前我們首先確保的是我們在各個的管處能不能對我們在當地的國人或是旅行團確實掌握那這個部分我們做到了這個都有掌握了嗎?本期也看到外交部的新聞
transcript.whisperx[13].start 319.529
transcript.whisperx[13].end 335.77
transcript.whisperx[13].text 管束以及人員也要自身也要安全這個我們也做到了那現在因為各國展開一些比較大規模的策略但台灣 中華民國台灣並不是一個在行動的國家我們認為我們應該可以降低一些直接對我們傷害的情況並不是我們什麼樣的國家不是直接參與行動的國家
transcript.whisperx[14].start 337.492
transcript.whisperx[14].end 363.317
transcript.whisperx[14].text 所以對我們在當地的僑胞我們除了在高度的警戒之外我們要參考現在其他各國撤僑的具體的計畫落實的時間等等是 這就是本席剛剛提的要跟其他國家保持高度的意見 院長這就是本席剛剛提的德國有沒有實際參與中東這個戰火並沒有嘛我們至少看到是並沒有但是德國已經啟動了專機撤僑優先復如先回德國或是離開其他國家
transcript.whisperx[15].start 363.917
transcript.whisperx[15].end 382.163
transcript.whisperx[15].text 但是本席現在講的是說我並不是說馬上你今天就一定要測試不是而是因應中東的形勢至少我們現在要演你我如果說真的有一天或者是說這一個禮拜內突然間加劇了我們要怎麼樣應變三千多名同胞在中東地區都是我們的國人沒錯吧
transcript.whisperx[16].start 384.017
transcript.whisperx[16].end 413.395
transcript.whisperx[16].text 所以我們第一個掌握這個人數跟他在這個每個國家所以院長能夠跨部會來做一個研擬至少針對這樣的狀況外交部主責當然跨部會來做一個研擬針對這個狀況來應變可以嗎昨天早上就已經全盤都推演過一次不要讓國人沒有看到如果說真的有發生緊急的情況的時候不要沒有任何的計畫好那拉回來我們今天主要的一個部分就關稅本席看完您完整的報告剛剛您的報告本席有看到
transcript.whisperx[17].start 413.891
transcript.whisperx[17].end 425.955
transcript.whisperx[17].text 我認同一句話在第二頁維護國家及產業最大利益為目標我們積極跟美方聯繫溝通這是我們共同努力的為什麼
transcript.whisperx[18].start 426.616
transcript.whisperx[18].end 452.089
transcript.whisperx[18].text 行政立法對內我們監督制衡但對外只要中華民國的核心價值主權我們絕對一起努力所以這是本席現在站在這邊包括我們的副院長也有提到我們江啟臣副院長也都有提過說其實在野的監督制衡並不是讓行政部門難做事反而某程度上是增加談判的底氣過去民進黨在野的時候也講過類似的話
transcript.whisperx[19].start 453.59
transcript.whisperx[19].end 468.793
transcript.whisperx[19].text 也都說在野的監督制衡不要把我們當成洪水猛獸不是對外一起爭取中華民國的核心價值利益有什麼樣可以多爭取多溝通的就像你講的積極跟美聯繫溝通這就是很好啊
transcript.whisperx[20].start 470.846
transcript.whisperx[20].end 498.475
transcript.whisperx[20].text 積極跟美聯繫溝通並不等於是重啟談判對吧是我們要確認美方的後續的動作也確保我們已經得到的最佳利益非常好所以本席剛看完你整篇的報告以及包括我們鄭麗君副院長等等講法其實我歸納幾點第一現在美國一開始的時候他們是用EPA來去要求全球那所以我們逼迫要站上談判桌去談的ART
transcript.whisperx[21].start 499.488
transcript.whisperx[21].end 513.234
transcript.whisperx[21].text 跟NOU但是現在美國的最高法院講說EPA是致死無效沒有辦法生效也因此美國馬上再祭出122後續我們現在看起來122對於我們的ART來講相對是我們認為比較嚴格
transcript.whisperx[22].start 517.722
transcript.whisperx[22].end 532.61
transcript.whisperx[22].text 對不對 對我們產業創業局比較大即便現在122是只有增加10%我們的ART是增加15%但是我們預計有可能他會增加15%可是另外一點我們其實預防跟擔心的是有沒有可能他後續會用232或是301
transcript.whisperx[23].start 535.678
transcript.whisperx[23].end 558.551
transcript.whisperx[23].text 來再去對於我們來增加更多的關稅所以行政團隊到目前為止給我們的邏輯都是我們既然已經談到了ART了這就是現在我們能夠談到最好的條件了不可能比它更好了我們應該要趕快來接受接受之後有遊戲規則定下來我們就可以往前走是不是這樣子
transcript.whisperx[24].start 559.833
transcript.whisperx[24].end 588.127
transcript.whisperx[24].text 是這個意思邏輯是這個意思沒有錯委員長所講大致趨勢如此不過跟委員做詳細補充1.22是一個過渡性的措施讓他美國要維持繼續有關稅存在那後續美國貿易代表署已經說明有可能啟動這個301調查那301調查我們評估屆時他會是一個替代性IPA的法律工具那調查之後我們當然希望我們也評估他會反映出前期談判的一個成果
transcript.whisperx[25].start 588.647
transcript.whisperx[25].end 603.279
transcript.whisperx[25].text 所以我們的目標就是鞏固不論他用什麼法律工具我們要鞏固既有談判成果至於232您提到的我們得到罪惠待遇那他會不會增加232調查的項目我們已經在MOU裡面安排一條
transcript.whisperx[26].start 604.079
transcript.whisperx[26].end 631.91
transcript.whisperx[26].text 就是我們取得既有的已經制定的項目的稅率以及半導體未來可能宣布的關稅下的優惠待遇未來如果232持續增加項目一譬如說把原來對等移到232我們也會持續跟美國磋商爭取優惠待遇這已經寫在MOU作為預防232增加項目的一個定義好 副院長我尊重您所以我多讓您講一些現在關鍵的問題來了幾個部分我們很快就有來釐清第一
transcript.whisperx[27].start 632.597
transcript.whisperx[27].end 637.933
transcript.whisperx[27].text 所以ART跟NOU我們現在跟美國簽的什麼時候可以生效是不是要等雙方國會審議過後
transcript.whisperx[28].start 640.333
transcript.whisperx[28].end 664.62
transcript.whisperx[28].text 還是現在已經生效了剛剛這個院長已經有說明了這個談判結果其實美國政府有對外說明包括格瑞爾大使這兩天都持續說因為我時間有限不用拖時間對我現在剛剛已經給你時間說明了我現在講什麼時候生效美方希望維繫協議所以現在如果說以法理來講現在已經生效了嗎沒有因為要經大院審查才會生效我們現在還沒有送大院
transcript.whisperx[29].start 667.401
transcript.whisperx[29].end 679.794
transcript.whisperx[29].text 所以還沒有送大院嘛所以如果以法理來講最快生效應該是送立法院送國會兩方國會審議過後嘛好所以第二個部分今天我本來期待的是已經可以看到完整的
transcript.whisperx[30].start 680.915
transcript.whisperx[30].end 702.635
transcript.whisperx[30].text 內穩了但是沒有那剛剛也見有委員提過了就說那什麼時候行政院要送來既然你剛剛邏輯講說我們趕快爭取時間ART已經談判到最好了那請教什麼時間可以送進來我們這兩天已經都有跟美方聯繫什麼時候可以送進來美方政府跟我們說明目前美國正在內部研議跟重建法律工具3月3號嗎那什麼時候可以送進來
transcript.whisperx[31].start 705.357
transcript.whisperx[31].end 724.557
transcript.whisperx[31].text 離清說明我們確保約會待遇之後我們就會我們就會向這個協議文本MOE及影響評估送交國會來所以現在時間沒有辦法定院長我現在在質詢院長除非你想篡位不然的話你應該是要讓尊重院長的回答嘛還是院長都不了解
transcript.whisperx[32].start 725.367
transcript.whisperx[32].end 731.492
transcript.whisperx[32].text 我早上已經說明了來再來第二個部分122現在很多的委員包括我們南部委員都講是說因為122裡面有27項台灣豁免在ART豁免裡面沒有包含對不對專屬豁免444項工業豁免沒有豁免那我們能不能利用這150天因為122未來150天之後美國國會能不能繼續授權不知道
transcript.whisperx[33].start 751.448
transcript.whisperx[33].end 775.297
transcript.whisperx[33].text 我們也沒有辦法確認嘛但是至少我們預期的是有可能一二會持續不然我們也不用那麼緊張一二有可能之後會過渡到其他的法律工具所以我現在在講的是說我們既然已經談到了ART有27項的農業豁免444項的工業豁免能不能利用這段時間再請我們的談判代表積極跟美方爭取聯繫溝通把他放進來我們
transcript.whisperx[34].start 776.497
transcript.whisperx[34].end 786.88
transcript.whisperx[34].text 即將要送進來立法院的審議的ART裡面122的部分它有一部分是全球豁免那我本來只針對我們的我們現在針對我們的部分因為我們ART已經談了對122對我們來講比較弱的地方就是這27票那144項
transcript.whisperx[35].start 795.143
transcript.whisperx[35].end 820.932
transcript.whisperx[35].text 那我期待是當你三月底送進來的時候是我們可以爭取到說把227跟444也放進我們的ARP嘛我們就是希望鞏固R的裁判結果所以我要先謝謝委員肯定R的裁判結果再來我請教未來我剛剛的邏輯講完了你也認同就是說我們其實不只怕122擔心啦 不要說怕啦我們更擔心的是未來232跟301
transcript.whisperx[36].start 823.243
transcript.whisperx[36].end 828.452
transcript.whisperx[36].text 如果說他現在2323301調查完畢之後他把台灣又把他給懲罰了
transcript.whisperx[37].start 829.758
transcript.whisperx[37].end 856.258
transcript.whisperx[37].text 那對我們來講產業的衝擊非常大也因此我們能不能在這一次談判ART的時候也把它加入彈珠未來即便是301或是232美國調查出來有任何狀況台灣也是在豁免範圍內報告委員232目前不受影響只有未來232增加項目MOU已經有條文我可以跟委員肯定回答你的增加項目是15%嘛如果說低的話會這個
transcript.whisperx[38].start 858.14
transcript.whisperx[38].end 863.551
transcript.whisperx[38].text 本席有看過你的說明所以說我很完整的理解我現在講的是說不管是232或301
transcript.whisperx[39].start 866.038
transcript.whisperx[39].end 890.76
transcript.whisperx[39].text 我們都會爭取到最佳待遇部長你剛剛有提過現在美國232跟301在調查中裡面有寫到我們在MOU的成果裡面有提到台美雙方不要狀況台美雙方就未來232調查項目持續攜手會待遇我現在在講的是232也好或301也好未來它是一個
transcript.whisperx[40].start 892.097
transcript.whisperx[40].end 914.275
transcript.whisperx[40].text 我們都會確保確保鞏固我們就像122出來的時候他是把我們ART還要再增加一些貿易的障礙那也因此本席現在在講如果說我們在行政團隊認為說ART現在談到是我們現階段最有力的部分那就應該要努力爭取即便未來美國有232或是301301都要把
transcript.whisperx[41].start 918.223
transcript.whisperx[41].end 923.188
transcript.whisperx[41].text 依照ART的精神打給霍敏開我們能不能往這個方向談能不能承諾往這個方向談並且取得成果
transcript.whisperx[42].start 971.561
transcript.whisperx[42].end 971.581
transcript.whisperx[42].text
transcript.whisperx[43].start 975.417
transcript.whisperx[43].end 976.403
transcript.whisperx[43].text 好 謝謝 謝謝洪委員 謝謝卓院長