iVOD / 163416

Field Value
IVOD_ID 163416
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163416
日期 2025-08-07
會議資料.會議代碼 委員會-11-3-19-19
會議資料.會議代碼:str 第11屆第3會期經濟委員會第19次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 19
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第3會期經濟委員會第19次全體委員會議
影片種類 Clip
開始時間 2025-08-07T11:38:30+08:00
結束時間 2025-08-07T11:50:20+08:00
影片長度 00:11:50
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ce960b47cc6398b96928a4afbda3031d70dc6911ab88c3aa0394dc758d122e31627239ac86ab38cd5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 李坤城
委員發言時間 11:38:30 - 11:50:20
會議時間 2025-08-07T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第19次全體委員會議(事由:邀請國家發展委員會主任委員就「美國對等關稅底定後,我國經濟未來之景氣情況及產業全球佈局新規劃」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 2.39346875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 10.30784375
transcript.pyannote[1].end 11.69159375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 11.84346875
transcript.pyannote[2].end 12.72096875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.90221875
transcript.pyannote[3].end 14.37471875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 21.59721875
transcript.pyannote[4].end 23.04846875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 23.52096875
transcript.pyannote[5].end 25.12409375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 25.32659375
transcript.pyannote[6].end 29.14034375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 29.39346875
transcript.pyannote[7].end 60.83159375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 61.77659375
transcript.pyannote[8].end 81.13221875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 80.23784375
transcript.pyannote[9].end 86.05971875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 82.66784375
transcript.pyannote[10].end 84.65909375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 85.63784375
transcript.pyannote[11].end 85.97534375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 86.24534375
transcript.pyannote[12].end 86.49846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 86.65034375
transcript.pyannote[13].end 89.18159375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 89.46846875
transcript.pyannote[14].end 90.14346875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 90.14346875
transcript.pyannote[15].end 94.24409375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 94.24409375
transcript.pyannote[16].end 94.81784375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 94.81784375
transcript.pyannote[17].end 96.57284375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 96.57284375
transcript.pyannote[18].end 96.62346875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 97.34909375
transcript.pyannote[19].end 104.87534375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 105.14534375
transcript.pyannote[20].end 106.02284375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 106.17471875
transcript.pyannote[21].end 107.82846875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 108.33471875
transcript.pyannote[22].end 112.14846875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 112.77284375
transcript.pyannote[23].end 114.03846875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 114.03846875
transcript.pyannote[24].end 120.95721875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 114.07221875
transcript.pyannote[25].end 114.61221875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 120.95721875
transcript.pyannote[26].end 126.01971875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 126.22221875
transcript.pyannote[27].end 126.99846875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 127.16721875
transcript.pyannote[28].end 128.21346875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 128.38221875
transcript.pyannote[29].end 129.79971875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 130.69409375
transcript.pyannote[30].end 131.70659375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 131.82471875
transcript.pyannote[31].end 132.16221875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 132.46596875
transcript.pyannote[32].end 134.91284375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 135.01409375
transcript.pyannote[33].end 141.91596875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 141.96659375
transcript.pyannote[34].end 142.03409375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 142.18596875
transcript.pyannote[35].end 146.13471875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 146.30346875
transcript.pyannote[36].end 152.02409375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 152.02409375
transcript.pyannote[37].end 152.73284375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 152.80034375
transcript.pyannote[38].end 154.82534375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 154.94346875
transcript.pyannote[39].end 155.29784375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 155.70284375
transcript.pyannote[40].end 178.19721875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 178.41659375
transcript.pyannote[41].end 189.68909375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 189.87471875
transcript.pyannote[42].end 191.59596875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 191.91659375
transcript.pyannote[43].end 210.02346875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 210.09096875
transcript.pyannote[44].end 214.69784375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 215.10284375
transcript.pyannote[45].end 216.57096875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 216.82409375
transcript.pyannote[46].end 217.34721875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 217.92096875
transcript.pyannote[47].end 221.12721875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 221.56596875
transcript.pyannote[48].end 222.03846875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 222.03846875
transcript.pyannote[49].end 223.97909375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 222.12284375
transcript.pyannote[50].end 224.56971875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 224.56971875
transcript.pyannote[51].end 224.60346875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 225.16034375
transcript.pyannote[52].end 225.66659375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 226.25721875
transcript.pyannote[53].end 234.89721875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 228.82221875
transcript.pyannote[54].end 229.12596875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 234.89721875
transcript.pyannote[55].end 234.91409375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 236.28096875
transcript.pyannote[56].end 236.29784375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 236.29784375
transcript.pyannote[57].end 236.31471875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 236.31471875
transcript.pyannote[58].end 237.00659375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 237.15846875
transcript.pyannote[59].end 237.73221875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 238.05284375
transcript.pyannote[60].end 239.31846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 239.31846875
transcript.pyannote[61].end 240.97221875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 240.97221875
transcript.pyannote[62].end 255.40034375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 255.40034375
transcript.pyannote[63].end 255.43409375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 255.43409375
transcript.pyannote[64].end 256.31159375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 255.48471875
transcript.pyannote[65].end 256.48034375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 256.48034375
transcript.pyannote[66].end 256.54784375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 256.54784375
transcript.pyannote[67].end 260.10846875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 259.99034375
transcript.pyannote[68].end 260.07471875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 260.10846875
transcript.pyannote[69].end 261.15471875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 261.15471875
transcript.pyannote[70].end 261.99846875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 262.21784375
transcript.pyannote[71].end 265.71096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 266.14971875
transcript.pyannote[72].end 281.77596875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 281.77596875
transcript.pyannote[73].end 284.89784375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 285.11721875
transcript.pyannote[74].end 288.61034375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 288.61034375
transcript.pyannote[75].end 288.69471875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 288.69471875
transcript.pyannote[76].end 288.74534375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 288.74534375
transcript.pyannote[77].end 288.86346875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 288.86346875
transcript.pyannote[78].end 289.03221875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 289.03221875
transcript.pyannote[79].end 293.26784375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 289.33596875
transcript.pyannote[80].end 289.97721875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 294.01034375
transcript.pyannote[81].end 294.02721875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 294.02721875
transcript.pyannote[82].end 295.79909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 295.79909375
transcript.pyannote[83].end 295.83284375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 295.83284375
transcript.pyannote[84].end 296.35596875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 296.86221875
transcript.pyannote[85].end 303.15659375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 303.15659375
transcript.pyannote[86].end 305.63721875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 305.97471875
transcript.pyannote[87].end 323.32221875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 323.92971875
transcript.pyannote[88].end 324.97596875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 324.97596875
transcript.pyannote[89].end 327.69284375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 327.82784375
transcript.pyannote[90].end 335.21909375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 335.42159375
transcript.pyannote[91].end 336.07971875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 336.48471875
transcript.pyannote[92].end 337.36221875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 337.76721875
transcript.pyannote[93].end 344.71971875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 345.09096875
transcript.pyannote[94].end 349.07346875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 346.35659375
transcript.pyannote[95].end 348.44909375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 349.07346875
transcript.pyannote[96].end 352.51596875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 352.51596875
transcript.pyannote[97].end 357.64596875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 357.86534375
transcript.pyannote[98].end 359.26596875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 361.00409375
transcript.pyannote[99].end 365.13846875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 364.90221875
transcript.pyannote[100].end 365.12159375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 365.13846875
transcript.pyannote[101].end 367.63596875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 367.80471875
transcript.pyannote[102].end 373.54221875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 373.72784375
transcript.pyannote[103].end 377.60909375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 380.10659375
transcript.pyannote[104].end 380.83221875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 380.91659375
transcript.pyannote[105].end 381.91221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 382.77284375
transcript.pyannote[106].end 385.11846875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 385.62471875
transcript.pyannote[107].end 390.63659375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 390.63659375
transcript.pyannote[108].end 402.36471875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 402.93846875
transcript.pyannote[109].end 407.25846875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 407.62971875
transcript.pyannote[110].end 409.41846875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 409.65471875
transcript.pyannote[111].end 411.59534375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 412.79346875
transcript.pyannote[112].end 414.16034375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 414.16034375
transcript.pyannote[113].end 414.17721875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 415.15596875
transcript.pyannote[114].end 415.66221875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 415.89846875
transcript.pyannote[115].end 417.33284375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 417.75471875
transcript.pyannote[116].end 421.16346875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 422.10846875
transcript.pyannote[117].end 430.32659375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 423.25596875
transcript.pyannote[118].end 423.67784375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 427.93034375
transcript.pyannote[119].end 428.70659375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 430.54596875
transcript.pyannote[120].end 436.72221875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 434.37659375
transcript.pyannote[121].end 435.15284375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 436.72221875
transcript.pyannote[122].end 447.28596875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 436.73909375
transcript.pyannote[123].end 440.62034375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 444.53534375
transcript.pyannote[124].end 450.32346875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 450.77909375
transcript.pyannote[125].end 453.56346875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 453.56346875
transcript.pyannote[126].end 461.37659375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 454.10346875
transcript.pyannote[127].end 454.25534375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 454.35659375
transcript.pyannote[128].end 454.44096875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 461.62971875
transcript.pyannote[129].end 463.72221875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 463.92471875
transcript.pyannote[130].end 474.74159375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 474.89346875
transcript.pyannote[131].end 483.09471875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 483.36471875
transcript.pyannote[132].end 486.23346875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 486.52034375
transcript.pyannote[133].end 488.49471875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 488.54534375
transcript.pyannote[134].end 491.75159375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 492.15659375
transcript.pyannote[135].end 493.60784375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 494.29971875
transcript.pyannote[136].end 499.76721875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 494.31659375
transcript.pyannote[137].end 495.21096875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 500.17221875
transcript.pyannote[138].end 503.46284375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 503.07471875
transcript.pyannote[139].end 511.46159375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 511.71471875
transcript.pyannote[140].end 513.63846875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 512.77784375
transcript.pyannote[141].end 526.21034375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 527.20596875
transcript.pyannote[142].end 527.67846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 527.99909375
transcript.pyannote[143].end 536.70659375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 536.70659375
transcript.pyannote[144].end 536.75721875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 536.75721875
transcript.pyannote[145].end 543.37221875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 536.94284375
transcript.pyannote[146].end 539.38971875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 542.22471875
transcript.pyannote[147].end 546.49409375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 543.38909375
transcript.pyannote[148].end 543.42284375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 546.89909375
transcript.pyannote[149].end 548.18159375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 548.43471875
transcript.pyannote[150].end 551.72534375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 551.80971875
transcript.pyannote[151].end 554.56034375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 554.98221875
transcript.pyannote[152].end 555.30284375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 555.42096875
transcript.pyannote[153].end 561.44534375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 561.63096875
transcript.pyannote[154].end 566.40659375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 567.79034375
transcript.pyannote[155].end 581.67846875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 574.35471875
transcript.pyannote[156].end 574.50659375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 577.74659375
transcript.pyannote[157].end 579.65346875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 579.80534375
transcript.pyannote[158].end 580.12596875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 581.88096875
transcript.pyannote[159].end 586.04909375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 584.90159375
transcript.pyannote[160].end 592.63034375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 586.21784375
transcript.pyannote[161].end 587.36534375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 587.41596875
transcript.pyannote[162].end 587.44971875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 587.56784375
transcript.pyannote[163].end 588.05721875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 588.37784375
transcript.pyannote[164].end 589.89659375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 591.95534375
transcript.pyannote[165].end 597.22034375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 594.68909375
transcript.pyannote[166].end 594.77346875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 597.86159375
transcript.pyannote[167].end 598.14846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 598.78971875
transcript.pyannote[168].end 604.03784375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 604.13909375
transcript.pyannote[169].end 613.36971875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 613.77471875
transcript.pyannote[170].end 625.03034375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 621.68909375
transcript.pyannote[171].end 622.65096875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 624.22034375
transcript.pyannote[172].end 630.91971875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 632.26971875
transcript.pyannote[173].end 632.74221875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 633.45096875
transcript.pyannote[174].end 638.37846875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 638.80034375
transcript.pyannote[175].end 643.17096875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 644.16659375
transcript.pyannote[176].end 648.84096875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 647.98034375
transcript.pyannote[177].end 651.13596875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 649.26284375
transcript.pyannote[178].end 650.07284375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 651.33846875
transcript.pyannote[179].end 651.57471875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 651.74346875
transcript.pyannote[180].end 656.38409375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 656.21534375
transcript.pyannote[181].end 656.40096875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 656.40096875
transcript.pyannote[182].end 662.94846875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 662.49284375
transcript.pyannote[183].end 665.46284375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 666.66096875
transcript.pyannote[184].end 670.12034375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 668.55096875
transcript.pyannote[185].end 668.75346875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 669.32721875
transcript.pyannote[186].end 674.03534375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 674.44034375
transcript.pyannote[187].end 674.45721875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 674.45721875
transcript.pyannote[188].end 687.61971875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 674.47409375
transcript.pyannote[189].end 674.94659375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 678.30471875
transcript.pyannote[190].end 678.65909375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 679.95846875
transcript.pyannote[191].end 680.80221875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 686.99534375
transcript.pyannote[192].end 692.73284375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 692.88471875
transcript.pyannote[193].end 695.56784375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 695.73659375
transcript.pyannote[194].end 705.22034375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 702.60471875
transcript.pyannote[195].end 702.94221875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 706.03034375
transcript.pyannote[196].end 710.92409375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 710.95784375
transcript.pyannote[197].end 710.97471875
transcript.whisperx[0].start 0.083
transcript.whisperx[0].end 14.268
transcript.whisperx[0].text 以昆城委員作詢答謝謝主席那請留主委留主委
transcript.whisperx[1].start 21.916
transcript.whisperx[1].end 38.36
transcript.whisperx[1].text 委員長主委好今天早上四點半美國川普總統開了一個記者會他就說要對半導體開徵百分之百的關稅除非在美國有設廠不然就是要課百分之百的關稅因為台積電在美國有設廠所以好像大家就認為說台積電已經獲得豁免了
transcript.whisperx[2].start 45.541
transcript.whisperx[2].end 59.196
transcript.whisperx[2].text 那主委也認為是利多那看今天的股票這個也到目前為止漲了500多點台積電也漲了大概有50塊左右啦那我是想請問一下主委台積電有真正確定獲得豁免嗎
transcript.whisperx[3].start 61.823
transcript.whisperx[3].end 81.422
transcript.whisperx[3].text 因為這個是川普今天的announcement並沒有美國政府的正式公告那我的瞭解都是會以正式公告為準但是如果就川普的說辭的話台積電其實是豁免的因為台積電其實十幾年前就在好台積電現在有在美國設廠那他就說要設廠或是承諾要設廠都可以獲得豁免
transcript.whisperx[4].start 86.286
transcript.whisperx[4].end 111.34
transcript.whisperx[4].text 那台積電一廠也蓋好了嗎?已經在測試中嗎?好,那這個是指說在美國設廠的部分那台積電在台灣更多廠啊對,更多那有獲得豁免嗎?主要是因為它在美國有設廠按照川普的說法或者是有計畫要設廠的都會得到豁免對,我的意思是說那台積電在台灣的廠也同時有獲得豁免嗎?
transcript.whisperx[5].start 113.224
transcript.whisperx[5].end 129.554
transcript.whisperx[5].text 那是一起的那是對進口的關稅的部分那這個部分其實佔台積電進口的大概只有1%那我就確定啦就是說就是在台灣的在美國的都獲得豁免就對了那再請教一下那因為晶片
transcript.whisperx[6].start 130.731
transcript.whisperx[6].end 154.522
transcript.whisperx[6].text 通常會組裝到這個成品出來再送到美國去那這部分組裝的用台積電的晶片組裝的這些下游的產品有獲得豁免嗎他目前是針對晶片的部分那組裝到成品去的並沒有還沒有在他的公告範圍內還沒有嗎那請教一下那個主委
transcript.whisperx[7].start 156.063
transcript.whisperx[7].end 181.14
transcript.whisperx[7].text 這個台積電它這個晶圓設計部分在我們半導體的產業鏈裡面是屬於中斷的嘛中油部分那上游包含這個IC設計那中油我剛才講的就是有晶圓製造那下游這一個封裝測試那我就是要請教一下那主委啦就是說現在的除了台積電的晶片因為在美國設廠有獲得這個豁免但是呢包含它的上游中游下游
transcript.whisperx[8].start 182.02
transcript.whisperx[8].end 209.683
transcript.whisperx[8].text 這些產業那是不是還現在還在談判當中還受到這一個美國的這個232條款的影響還沒有確定他這次川普是講到chip跟semiconductors那正常的情況下是他在他們的正式announcement會針對這些字眼定義含哪些會公告出來他現在還沒有確定那等他的公告就會明顯就會清楚他指的是什麼
transcript.whisperx[9].start 210.923
transcript.whisperx[9].end 234.214
transcript.whisperx[9].text 所以目前就是我講的這些上中油的這些產業都還在這個二三二條款的影響的範圍裡面就對了還沒有確定哪時候會知道也還不知道因為它自己先公告嘛是它的公告那之後美國的商務部會公告嘛那目前他們的關稅勒
transcript.whisperx[10].start 237.243
transcript.whisperx[10].end 260.913
transcript.whisperx[10].text 關稅 我們現在您是指哪一部分的關稅就是說這些半頭體的產品的關稅目前這個部分就像他一樣他會等正式的公告他現在是announcement嘛要等到他政府的正式通知他有一個生效期然後還有他含的他的chips跟這個semi cup那所以就是說上游中游下游的這些產品都還沒有確定就對了要看公告對不對
transcript.whisperx[11].start 262.293
transcript.whisperx[11].end 282.847
transcript.whisperx[11].text 那我再請教一下,其實我們的自通訊顯卡伺服器,這些在美國出口的,出口到美國的這些產品,佔這個百分之大概78左右啦那這些產品,對台灣的廠商來講非常重要,那現在的關稅也還沒有確定嗎?還沒有確定,那目前這些產品還在豁免清單內
transcript.whisperx[12].start 285.189
transcript.whisperx[12].end 292.565
transcript.whisperx[12].text 但是他會不會在232這個現在還沒有確定對還沒有確定那我們現在是把這些跟我們現在對等關稅一起來談嗎
transcript.whisperx[13].start 294.519
transcript.whisperx[13].end 312.154
transcript.whisperx[13].text 我不清楚有沒有一起談因為我沒有參與談可是我看行政院是有講要一起談抱歉我可能沒有注意到這個這很重要我也不知道這個我的印象就是說因為現在8月7號好像等下12點了對等關稅20%就生效了那我們認為說我們的談判團隊說這個是屬於暫時性的關稅接下來會跟232條款受到影響的這些我們資通訊的產品會一起來談應該是這樣子吧
transcript.whisperx[14].start 324.176
transcript.whisperx[14].end 342.182
transcript.whisperx[14].text 如果是這樣的話會對產業比較有利啦不是不是啦你不是團隊的一部分嗎怎麼變成是我在跟你講然後你再回答我說如果這樣談的話這個會比較有利就是行政院給我們的訊息是這樣子啦是暫時性的關稅會跟232條款受到影響的這些產業
transcript.whisperx[15].start 345.363
transcript.whisperx[15].end 358.093
transcript.whisperx[15].text 綁在一起談希望說能夠一起談 談出更好的關稅沒錯 我是在表達這樣談是對產業會比較好可是你剛才給我的回應我覺得你好像不知道說兩個是綁在一起談的這個問題就很重
transcript.whisperx[16].start 362.797
transcript.whisperx[16].end 378.114
transcript.whisperx[16].text 因為這個在比較高的層級談啊不是啊 那就算比較高的層級談這個我也不是談判代表但是我看行政院的相關的資訊我也知道說目前是綁在一起談的啊這主委你這樣的回應讓我有點意外耶我想
transcript.whisperx[17].start 382.921
transcript.whisperx[17].end 411.092
transcript.whisperx[17].text 但是我們現在最主要是因為主要是明天會有一個記者會他應該會說明那最後我再請教一下好了因為現在日本跟韓國都對美國有投資日本投資了這個5500億美國投資了這個3500億那我就請問一下那接下來的這個232的條款我們有辦法取得比談判有取得比日本或是韓國更好的一個稅率嗎
transcript.whisperx[18].start 412.987
transcript.whisperx[18].end 419.802
transcript.whisperx[18].text 因為還沒有投資這麼多了我認為應該是我們現在是中間稅率到20嘛那
transcript.whisperx[19].start 422.202
transcript.whisperx[19].end 449.876
transcript.whisperx[19].text 只會往下降不論是泰國、越南、日韓的談法都會往下降所以應該至少會到跟日韓一樣吧至少我認為啦那我也還是跟你抱歉我沒有參與我知道啦那就是說你認為說這個按照這個外國的這個談判或是日韓的談判最後都往下降了你認為最後我們也會關稅也會往下降目前的暫時性稅率看起來
transcript.whisperx[20].start 450.856
transcript.whisperx[20].end 469.226
transcript.whisperx[20].text 也沒有比對手來講是好啦好那最後再請教這幾個國家來講是好的我再請教最後再請教主委齁我目前這一個齁安全任性這個特別條例啦齁這個其中是930億是用在這個支持台灣的出口供應鏈齁那750億是用在工業180億是用在農業齁
transcript.whisperx[21].start 471.887
transcript.whisperx[21].end 497.949
transcript.whisperx[21].text 但是這是在關稅還沒確定之前你們的這個特別條例是這樣子安排的那我想請教一下主委因為現在20%的暫時金關稅還在談然後232條款你也還沒有確定那就國發外地產來講這個930億有沒有必要再擴充有沒有必要再增加這個規模預算因為這樣看起來它沒有特別用在我們的這個資通訊產業這邊
transcript.whisperx[22].start 500.696
transcript.whisperx[22].end 522.149
transcript.whisperx[22].text 目前這個是針對所有的產業對啊那如果是我來看的話我比較主張的是我們用滾動式來調整看它的變動不是 因為這裡面它現在已經滾到關稅都出來了我就說就國發會議上有沒有必要在930C再增加因為我看來它沒有特別針對會受到70%外銷到美國這些資通訊產品的這些影響
transcript.whisperx[23].start 528.284
transcript.whisperx[23].end 552.876
transcript.whisperx[23].text 這個其實是很難做一個評估但是當然你就這種協助性的東西當然是越多越好但是還要考慮到國家的財政嘛當然啦我是說你們有沒有去我們可以依據這個執行的狀態來做一個就是20%確定之後有沒有要再做調整那這個調整呢是原來的條例裡面因為現在是條例過了預算那預算它這個930億你們還可以再做調整
transcript.whisperx[24].start 555.518
transcript.whisperx[24].end 566.055
transcript.whisperx[24].text 然後呢是這樣在原來通過條例裡面做調整呢還是要送一個新的條例出來然後把這個受到關稅影響的這些預算我們再增加目前行政院做法是怎麼樣
transcript.whisperx[25].start 569.097
transcript.whisperx[25].end 590.045
transcript.whisperx[25].text 因為行政院做法目前是因為這個當時是考慮到不舉債狀態那另外第二個事情是當時是32%評估對 現在已經20%了所以目前來看的話理論上應該是還足以支撐你認為還足以支撐但是我們232也還沒有確定232對台灣那些資通訊產品影響很大如果232有影響到台灣的資通訊
transcript.whisperx[26].start 597.898
transcript.whisperx[26].end 612.535
transcript.whisperx[26].text 那這個金額我認為是需要再增加的但是那個是一個很假設的前提下可是你們沒有去設想好幾個模組嗎?這個情況一、情況二、情況三到底是怎麼樣嗎?
transcript.whisperx[27].start 614.097
transcript.whisperx[27].end 642.836
transcript.whisperx[27].text 這個是有的喔因為我們在8月1號的會議裡面院長有指示就是說我們要重新再評估各種現在新的版本那各部會都在進行中都會彙整到那所以會再提出新的特別條例出來嗎還是就原來的預算裡面再做調整我現在是問這個方向如果有動應該只有金額的部分那就看各部會提出來的有沒有改變就是在通過了條例的下面那預算再做調整就對了
transcript.whisperx[28].start 644.532
transcript.whisperx[28].end 662.947
transcript.whisperx[28].text 因為這個東西這個還是在行政院做最後的拍板不是你是國發會國發會也是很重要的這個可能您可能因為我們這次把這個層級拉得很高拉得很高以後呢那相關的部會就會參與到那裡面去就有那個比較高的層級不含國發會這個這麼高的層級不含國發會就對了
transcript.whisperx[29].start 666.804
transcript.whisperx[29].end 694.133
transcript.whisperx[29].text 因為國會本身沒有資源去做但是當然你是你類似一個幕僚的一個單位對對對那我們在分工上面我們負責中長期的部分就是在這是短期因為中長期是由我們來負責所以在中長期部分我們有規劃了雙金字塔的一個我知道這個其實我都有看過相關資料短期沒辦法一定影響到中長期的我是希望說這個
transcript.whisperx[30].start 695.834
transcript.whisperx[30].end 710.242
transcript.whisperx[30].text 等一下12點28%證實性關稅就生效了那接下來還有232條款這個行政院要先做好準備啦好不好是的是的好謝謝主委好謝謝好謝謝現在先做宣告我們中午不休息延長