iVOD / 163497

Field Value
IVOD_ID 163497
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163497
日期 2025-08-14
會議資料.會議代碼 委員會-11-3-35-25
會議資料.會議代碼:str 第11屆第3會期外交及國防委員會第25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 25
會議資料.種類 委員會
會議資料.委員會代碼[0] 35
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.標題 第11屆第3會期外交及國防委員會第25次全體委員會議
影片種類 Clip
開始時間 2025-08-14T11:03:39+08:00
結束時間 2025-08-14T11:17:47+08:00
影片長度 00:14:08
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3ced7f9f61571ec9c7c0bcfc988ac23f60cbfb79a6da4e5ccad52e77be0dc9cff5e92c6d24b32f115ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 11:03:39 - 11:17:47
會議時間 2025-08-14T09:00:00+08:00
會議名稱 立法院第11屆第3會期外交及國防委員會第25次全體委員會議(事由:邀請外交部部長、經濟部次長、財政部次長、農業部次長、行政院經貿談判辦公室副總談判代表報告「因應台美關稅及國際局勢變化台美關係互動情形,暨俄烏戰事與以哈衝突外交援助概況」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.92534375
transcript.pyannote[0].end 2.88284375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 3.05159375
transcript.pyannote[1].end 6.27471875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 6.71346875
transcript.pyannote[2].end 9.53159375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 10.22346875
transcript.pyannote[3].end 12.58596875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 12.97409375
transcript.pyannote[4].end 14.34096875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 14.67846875
transcript.pyannote[5].end 15.15096875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 15.97784375
transcript.pyannote[6].end 16.19721875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 16.68659375
transcript.pyannote[7].end 17.81721875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 18.40784375
transcript.pyannote[8].end 20.51721875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 21.24284375
transcript.pyannote[9].end 26.06909375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 26.72721875
transcript.pyannote[10].end 29.76471875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 29.49471875
transcript.pyannote[11].end 33.35909375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 33.35909375
transcript.pyannote[12].end 34.50659375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 33.51096875
transcript.pyannote[13].end 35.36721875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 35.92409375
transcript.pyannote[14].end 40.07534375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 40.54784375
transcript.pyannote[15].end 40.96971875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 41.52659375
transcript.pyannote[16].end 42.26909375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 43.43346875
transcript.pyannote[17].end 49.77846875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 50.80784375
transcript.pyannote[18].end 55.98846875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 56.64659375
transcript.pyannote[19].end 57.20346875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 57.32159375
transcript.pyannote[20].end 58.04721875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 57.47346875
transcript.pyannote[21].end 57.79409375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 58.85721875
transcript.pyannote[22].end 59.32971875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 59.75159375
transcript.pyannote[23].end 62.92409375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 61.96221875
transcript.pyannote[24].end 70.02846875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 70.02846875
transcript.pyannote[25].end 82.21221875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 82.43159375
transcript.pyannote[26].end 90.29534375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 90.44721875
transcript.pyannote[27].end 90.70034375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 90.83534375
transcript.pyannote[28].end 98.12534375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 98.26034375
transcript.pyannote[29].end 101.43284375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 100.60596875
transcript.pyannote[30].end 101.33159375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 101.46659375
transcript.pyannote[31].end 103.08659375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 101.78721875
transcript.pyannote[32].end 102.58034375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 103.33971875
transcript.pyannote[33].end 108.18284375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 103.45784375
transcript.pyannote[34].end 103.82909375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 108.46971875
transcript.pyannote[35].end 108.90846875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 109.11096875
transcript.pyannote[36].end 111.52409375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 110.44409375
transcript.pyannote[37].end 111.54096875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 111.54096875
transcript.pyannote[38].end 111.57471875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 112.35096875
transcript.pyannote[39].end 114.84846875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 113.92034375
transcript.pyannote[40].end 114.27471875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 115.23659375
transcript.pyannote[41].end 122.12159375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 120.55221875
transcript.pyannote[42].end 130.54221875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 131.47034375
transcript.pyannote[43].end 133.74846875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 134.40659375
transcript.pyannote[44].end 135.26721875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 135.53721875
transcript.pyannote[45].end 136.41471875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 136.75221875
transcript.pyannote[46].end 137.62971875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 138.69284375
transcript.pyannote[47].end 140.11034375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 141.61221875
transcript.pyannote[48].end 141.62909375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 141.62909375
transcript.pyannote[49].end 141.74721875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 141.74721875
transcript.pyannote[50].end 141.98346875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 141.98346875
transcript.pyannote[51].end 142.92846875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 144.31221875
transcript.pyannote[52].end 152.96909375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 152.96909375
transcript.pyannote[53].end 157.17096875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 157.52534375
transcript.pyannote[54].end 158.92596875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 159.63471875
transcript.pyannote[55].end 162.04784375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 162.25034375
transcript.pyannote[56].end 162.58784375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 162.75659375
transcript.pyannote[57].end 164.03909375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 165.72659375
transcript.pyannote[58].end 168.13971875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 165.84471875
transcript.pyannote[59].end 166.89096875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 168.39284375
transcript.pyannote[60].end 170.23221875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 170.97471875
transcript.pyannote[61].end 172.88159375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 173.99534375
transcript.pyannote[62].end 174.77159375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 175.49721875
transcript.pyannote[63].end 176.56034375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 177.20159375
transcript.pyannote[64].end 178.58534375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 180.10409375
transcript.pyannote[65].end 181.23471875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 180.15471875
transcript.pyannote[66].end 198.90284375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 199.39221875
transcript.pyannote[67].end 208.30221875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 199.57784375
transcript.pyannote[68].end 200.65784375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 207.42471875
transcript.pyannote[69].end 211.39034375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 211.77846875
transcript.pyannote[70].end 212.57159375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 212.89221875
transcript.pyannote[71].end 218.44409375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 218.86596875
transcript.pyannote[72].end 219.74346875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 220.53659375
transcript.pyannote[73].end 222.30846875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 220.87409375
transcript.pyannote[74].end 224.75534375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 225.16034375
transcript.pyannote[75].end 228.31596875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 228.95721875
transcript.pyannote[76].end 233.59784375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 234.37409375
transcript.pyannote[77].end 239.62221875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 240.68534375
transcript.pyannote[78].end 241.41096875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 242.59221875
transcript.pyannote[79].end 246.77721875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 247.95846875
transcript.pyannote[80].end 251.21534375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 251.78909375
transcript.pyannote[81].end 251.90721875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 251.90721875
transcript.pyannote[82].end 252.97034375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 252.97034375
transcript.pyannote[83].end 257.03721875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 257.76284375
transcript.pyannote[84].end 259.07909375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 259.07909375
transcript.pyannote[85].end 259.09596875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 259.09596875
transcript.pyannote[86].end 260.02409375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 260.02409375
transcript.pyannote[87].end 269.59221875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 269.45721875
transcript.pyannote[88].end 272.08971875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 272.62971875
transcript.pyannote[89].end 274.45221875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 274.99221875
transcript.pyannote[90].end 278.63721875
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 278.63721875
transcript.pyannote[91].end 279.59909375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 279.24471875
transcript.pyannote[92].end 283.17659375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 281.32034375
transcript.pyannote[93].end 281.37096875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 284.42534375
transcript.pyannote[94].end 286.45034375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 286.14659375
transcript.pyannote[95].end 286.85534375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 288.71159375
transcript.pyannote[96].end 289.20096875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 290.24721875
transcript.pyannote[97].end 294.88784375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 295.07346875
transcript.pyannote[98].end 297.65534375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 298.48221875
transcript.pyannote[99].end 300.82784375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 301.43534375
transcript.pyannote[100].end 301.89096875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 302.11034375
transcript.pyannote[101].end 302.53221875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 302.78534375
transcript.pyannote[102].end 304.15221875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 304.33784375
transcript.pyannote[103].end 304.65846875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 305.13096875
transcript.pyannote[104].end 307.59471875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 308.05034375
transcript.pyannote[105].end 308.59034375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 308.72534375
transcript.pyannote[106].end 310.02471875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 310.44659375
transcript.pyannote[107].end 311.22284375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 311.81346875
transcript.pyannote[108].end 312.30284375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 312.50534375
transcript.pyannote[109].end 313.39971875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 313.63596875
transcript.pyannote[110].end 320.40284375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 320.40284375
transcript.pyannote[111].end 322.41096875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 321.12846875
transcript.pyannote[112].end 321.53346875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 322.64721875
transcript.pyannote[113].end 326.79846875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 326.05596875
transcript.pyannote[114].end 326.64659375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 326.66346875
transcript.pyannote[115].end 326.68034375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 326.79846875
transcript.pyannote[116].end 326.93346875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 326.93346875
transcript.pyannote[117].end 336.68721875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 327.00096875
transcript.pyannote[118].end 327.32159375
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 336.97409375
transcript.pyannote[119].end 359.72159375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 360.12659375
transcript.pyannote[120].end 364.34534375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 364.68284375
transcript.pyannote[121].end 365.00346875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 365.67846875
transcript.pyannote[122].end 369.18846875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 370.25159375
transcript.pyannote[123].end 379.43159375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 380.52846875
transcript.pyannote[124].end 383.02596875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 383.36346875
transcript.pyannote[125].end 387.56534375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 388.00409375
transcript.pyannote[126].end 389.10096875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 389.25284375
transcript.pyannote[127].end 390.55221875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 391.29471875
transcript.pyannote[128].end 392.18909375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 392.93159375
transcript.pyannote[129].end 405.82409375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 395.85096875
transcript.pyannote[130].end 396.94784375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 405.03096875
transcript.pyannote[131].end 426.51284375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 425.78721875
transcript.pyannote[132].end 426.41159375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 426.51284375
transcript.pyannote[133].end 426.52971875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 426.76596875
transcript.pyannote[134].end 427.84596875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 427.44096875
transcript.pyannote[135].end 436.72221875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 427.98096875
transcript.pyannote[136].end 428.99346875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 437.31284375
transcript.pyannote[137].end 439.06784375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 439.57409375
transcript.pyannote[138].end 440.62034375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 441.02534375
transcript.pyannote[139].end 442.22346875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 442.76346875
transcript.pyannote[140].end 443.97846875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 444.75471875
transcript.pyannote[141].end 449.54721875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 450.35721875
transcript.pyannote[142].end 450.77909375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 451.90971875
transcript.pyannote[143].end 454.84596875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 455.35221875
transcript.pyannote[144].end 456.60096875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 456.60096875
transcript.pyannote[145].end 456.61784375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 456.61784375
transcript.pyannote[146].end 456.63471875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 456.63471875
transcript.pyannote[147].end 456.70221875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 456.70221875
transcript.pyannote[148].end 456.71909375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 456.71909375
transcript.pyannote[149].end 456.92159375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 457.63034375
transcript.pyannote[150].end 458.08596875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 458.08596875
transcript.pyannote[151].end 458.17034375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 458.17034375
transcript.pyannote[152].end 458.30534375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 458.30534375
transcript.pyannote[153].end 458.38971875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 458.38971875
transcript.pyannote[154].end 458.40659375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 458.40659375
transcript.pyannote[155].end 458.42346875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 459.55409375
transcript.pyannote[156].end 470.82659375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 460.19534375
transcript.pyannote[157].end 463.89096875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 470.82659375
transcript.pyannote[158].end 473.20596875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 474.30284375
transcript.pyannote[159].end 475.50096875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 475.72034375
transcript.pyannote[160].end 477.77909375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 478.99409375
transcript.pyannote[161].end 479.71971875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 480.25971875
transcript.pyannote[162].end 481.35659375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 482.09909375
transcript.pyannote[163].end 483.17909375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 483.43221875
transcript.pyannote[164].end 483.85409375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 484.12409375
transcript.pyannote[165].end 485.03534375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 486.01409375
transcript.pyannote[166].end 487.92096875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 488.62971875
transcript.pyannote[167].end 490.72221875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 490.94159375
transcript.pyannote[168].end 492.02159375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 492.64596875
transcript.pyannote[169].end 493.55721875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 494.36721875
transcript.pyannote[170].end 494.75534375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 495.07596875
transcript.pyannote[171].end 496.71284375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 496.96596875
transcript.pyannote[172].end 497.26971875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 499.32846875
transcript.pyannote[173].end 499.64909375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 499.86846875
transcript.pyannote[174].end 506.53409375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 506.63534375
transcript.pyannote[175].end 511.12409375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 511.34346875
transcript.pyannote[176].end 518.27909375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 519.49409375
transcript.pyannote[177].end 523.20659375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 520.77659375
transcript.pyannote[178].end 520.96221875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 522.19409375
transcript.pyannote[179].end 522.91971875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 523.69596875
transcript.pyannote[180].end 524.57346875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 525.01221875
transcript.pyannote[181].end 527.32409375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 528.47159375
transcript.pyannote[182].end 529.82159375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 530.68221875
transcript.pyannote[183].end 535.17096875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 535.98096875
transcript.pyannote[184].end 539.17034375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 539.72721875
transcript.pyannote[185].end 541.29659375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 541.75221875
transcript.pyannote[186].end 543.96284375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 544.53659375
transcript.pyannote[187].end 545.76846875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 546.10596875
transcript.pyannote[188].end 547.67534375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 548.04659375
transcript.pyannote[189].end 551.11784375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 551.82659375
transcript.pyannote[190].end 552.95721875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 553.32846875
transcript.pyannote[191].end 556.85534375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 557.36159375
transcript.pyannote[192].end 559.47096875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 560.31471875
transcript.pyannote[193].end 562.74471875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 563.33534375
transcript.pyannote[194].end 563.62221875
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 564.11159375
transcript.pyannote[195].end 564.49971875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 565.32659375
transcript.pyannote[196].end 567.08159375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 567.45284375
transcript.pyannote[197].end 569.08971875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 570.38909375
transcript.pyannote[198].end 572.02596875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 573.69659375
transcript.pyannote[199].end 574.72596875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 576.43034375
transcript.pyannote[200].end 578.94471875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 583.14659375
transcript.pyannote[201].end 585.67784375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 585.99846875
transcript.pyannote[202].end 590.31846875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 591.12846875
transcript.pyannote[203].end 594.55409375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 595.19534375
transcript.pyannote[204].end 598.19909375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 598.31721875
transcript.pyannote[205].end 599.46471875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 600.29159375
transcript.pyannote[206].end 601.35471875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 601.59096875
transcript.pyannote[207].end 603.34596875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 603.75096875
transcript.pyannote[208].end 604.37534375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 606.38346875
transcript.pyannote[209].end 607.59846875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 608.45909375
transcript.pyannote[210].end 609.43784375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 609.97784375
transcript.pyannote[211].end 612.10409375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 612.61034375
transcript.pyannote[212].end 613.62284375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 614.28096875
transcript.pyannote[213].end 614.87159375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 615.31034375
transcript.pyannote[214].end 618.53346875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 618.66846875
transcript.pyannote[215].end 623.17409375
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 623.61284375
transcript.pyannote[216].end 625.84034375
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 626.76846875
transcript.pyannote[217].end 631.66221875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 632.06721875
transcript.pyannote[218].end 633.02909375
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 633.13034375
transcript.pyannote[219].end 634.63221875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 635.18909375
transcript.pyannote[220].end 636.62346875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 636.85971875
transcript.pyannote[221].end 637.68659375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 638.14221875
transcript.pyannote[222].end 638.71596875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 640.21784375
transcript.pyannote[223].end 665.53034375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 665.05784375
transcript.pyannote[224].end 667.80846875
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 668.75346875
transcript.pyannote[225].end 670.01909375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 670.82909375
transcript.pyannote[226].end 671.53784375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 672.95534375
transcript.pyannote[227].end 673.36034375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 673.00596875
transcript.pyannote[228].end 674.28846875
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 674.28846875
transcript.pyannote[229].end 674.42346875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 674.42346875
transcript.pyannote[230].end 674.45721875
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 674.45721875
transcript.pyannote[231].end 674.47409375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 674.47409375
transcript.pyannote[232].end 675.80721875
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 674.65971875
transcript.pyannote[233].end 677.39346875
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 678.00096875
transcript.pyannote[234].end 679.85721875
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 680.75159375
transcript.pyannote[235].end 681.03846875
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 682.13534375
transcript.pyannote[236].end 688.32846875
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 689.02034375
transcript.pyannote[237].end 689.62784375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 690.89346875
transcript.pyannote[238].end 695.43284375
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 691.78784375
transcript.pyannote[239].end 692.04096875
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 695.43284375
transcript.pyannote[240].end 698.41971875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 699.58409375
transcript.pyannote[241].end 709.45596875
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 707.70096875
transcript.pyannote[242].end 713.79284375
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 716.08784375
transcript.pyannote[243].end 718.63596875
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 718.72034375
transcript.pyannote[244].end 720.40784375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 720.89721875
transcript.pyannote[245].end 721.08284375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 721.40346875
transcript.pyannote[246].end 723.04034375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 723.44534375
transcript.pyannote[247].end 724.20471875
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 725.70659375
transcript.pyannote[248].end 726.01034375
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 726.31409375
transcript.pyannote[249].end 726.90471875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 727.91721875
transcript.pyannote[250].end 729.23346875
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 730.92096875
transcript.pyannote[251].end 733.40159375
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 734.00909375
transcript.pyannote[252].end 741.02909375
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 741.63659375
transcript.pyannote[253].end 744.70784375
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 745.11284375
transcript.pyannote[254].end 747.08721875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 747.67784375
transcript.pyannote[255].end 753.66846875
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 753.56721875
transcript.pyannote[256].end 756.87471875
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 757.49909375
transcript.pyannote[257].end 759.13596875
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 760.46909375
transcript.pyannote[258].end 764.73846875
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 765.16034375
transcript.pyannote[259].end 765.90284375
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 766.52721875
transcript.pyannote[260].end 768.50159375
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 768.16409375
transcript.pyannote[261].end 771.06659375
transcript.pyannote[262].speaker SPEAKER_02
transcript.pyannote[262].start 772.26471875
transcript.pyannote[262].end 772.50096875
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 772.93971875
transcript.pyannote[263].end 774.32346875
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 775.65659375
transcript.pyannote[264].end 776.51721875
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 776.60159375
transcript.pyannote[265].end 778.01909375
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 778.32284375
transcript.pyannote[266].end 780.11159375
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 780.60096875
transcript.pyannote[267].end 781.00596875
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 781.44471875
transcript.pyannote[268].end 788.98784375
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 789.12284375
transcript.pyannote[269].end 794.18534375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 794.77596875
transcript.pyannote[270].end 797.18909375
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 797.83034375
transcript.pyannote[271].end 798.47159375
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 798.70784375
transcript.pyannote[272].end 799.56846875
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 800.36159375
transcript.pyannote[273].end 801.35721875
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 802.28534375
transcript.pyannote[274].end 803.17971875
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 804.52971875
transcript.pyannote[275].end 805.18784375
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 806.01471875
transcript.pyannote[276].end 812.32596875
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 812.37659375
transcript.pyannote[277].end 815.65034375
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 815.31284375
transcript.pyannote[278].end 815.44784375
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 815.65034375
transcript.pyannote[279].end 818.78909375
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 819.29534375
transcript.pyannote[280].end 821.18534375
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 821.40471875
transcript.pyannote[281].end 824.39159375
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 825.15096875
transcript.pyannote[282].end 827.15909375
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 827.47971875
transcript.pyannote[283].end 827.90159375
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 829.26846875
transcript.pyannote[284].end 829.82534375
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 830.39909375
transcript.pyannote[285].end 830.83784375
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 832.22159375
transcript.pyannote[286].end 832.66034375
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 832.66034375
transcript.pyannote[287].end 832.67721875
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 833.04846875
transcript.pyannote[288].end 834.55034375
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 834.78659375
transcript.pyannote[289].end 835.79909375
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 836.37284375
transcript.pyannote[290].end 839.32596875
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 839.52846875
transcript.pyannote[291].end 844.30409375
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 842.38034375
transcript.pyannote[292].end 847.22346875
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 847.22346875
transcript.pyannote[293].end 847.24034375
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 848.21909375
transcript.pyannote[294].end 849.97409375
transcript.whisperx[0].start 1.239
transcript.whisperx[0].end 14.989
transcript.whisperx[0].text 謝謝主席 請各位先進有請外交部的陳次長經濟部的江次長然後總談判代表的袁副總談判代表好 三位長官首先第一個先請教我們這次跟美國談關稅那個對口單位是哪個單位 外交部知道嗎
transcript.whisperx[1].start 27.255
transcript.whisperx[1].end 55.919
transcript.whisperx[1].text 這個主要還是由我們談判團隊好 那就請外交部的長官可以先請回沒關係來 講一下美國對口單位是誰我們主要對口是USTR然後有議題相關的商務部也會參加是什麼商務部商務部對象是誰啊我們出面是行政院的副院長欸講這個級別要先講一下對口你要講一下他們長官是誰嘛
transcript.whisperx[2].start 56.704
transcript.whisperx[2].end 71.059
transcript.whisperx[2].text 可以講嗎?這機密嗎?這機密?第一個,對,就是要跟委員報告的這個有機密喔,喔喔喔,要想完了我們出去是真的,如果叫我們的行政院副院長出兵他對國是誰,張三里是王武弄哉?這還機密?
transcript.whisperx[3].start 73.421
transcript.whisperx[3].end 90.115
transcript.whisperx[3].text 跟委員報告我剛才在講的是說我們實際上在做談判的時候當然不會是他們的USTR或者商務部的最高長官出來談那所以他的組成就像我們談判團隊的組成都會是議題去做調整談你的最高層級到哪裡啦我問你這個啦
transcript.whisperx[4].start 90.495
transcript.whisperx[4].end 111.178
transcript.whisperx[4].text 到哪裡我們副院長說領軍談判團隊應該是有見到USTR的Greer大使GreerGreer見到嗎以及商務部長Lanik有嗎Lanik部長盧特什麼特的盧特尼克盧特尼克有見到嗎
transcript.whisperx[5].start 112.626
transcript.whisperx[5].end 130.152
transcript.whisperx[5].text 有嗎 有跟他談嗎我們所被告知的是 確實他們有見到做進一步的比較高層性的討論你今天來這裡是國會喔 你要講真話喔你能講就講喔 你不知道就不知道我聽了感覺你不知道欸你是副總代表不是嗎你有沒有進去談 我請教你你有沒有進去談你 U U Y O U
transcript.whisperx[6].start 141.633
transcript.whisperx[6].end 156.576
transcript.whisperx[6].text 你有沒有進去談 你 你跟委員報告 我們的談判就是你有沒有進去談 我問你你有沒有進去談在議題有需要的 我就按照長官安排參加那就是你沒機會啊你沒機會你代表總統辦事處來接不是很奇怪嗎原總代表啊 原副總代表啊你都不知道五四三你都不知道 你要來接你現在要去北巡啦
transcript.whisperx[7].start 171.038
transcript.whisperx[7].end 197.043
transcript.whisperx[7].text 你都不知道 你也是看不出來 你說拜託 怎麼會這個樣子呢你們在揚州 你為什麼不來啊請教召委啊這好像是政府上面的體制的規定是必須要由我們辦公室是由副總談判代表來受到國會的監督總代表不用受國會監督喔沒有 他代表我們整個OTN受到國會的監督但是來這邊質詢跟備詢
transcript.whisperx[8].start 200.084
transcript.whisperx[8].end 209.27
transcript.whisperx[8].text 是副總談判代表這個我想是不是是我們政府的體制上面的一些體制沒有這樣體制喔沒有這樣體制喔是我們的召委太客氣喔
transcript.whisperx[9].start 212.094
transcript.whisperx[9].end 241.315
transcript.whisperx[9].text 對不對 哪裡有說楊正寧不來的我當召委我就請他來他不來 請假不准剛才說的就是這樣 我們都會我們都會配合委員的指示下一次啊 下一次我開會說我要找你楊正寧你都不知道啊 你要來所以你都不知道 我一聽你都不知道來 我再問一個問題我們跟美國買的軍售美國對我們的軍售有沒有算在貿易盒裡面 有沒有有 沒有
transcript.whisperx[10].start 242.608
transcript.whisperx[10].end 271.817
transcript.whisperx[10].text 我們的軍售的貿易額 算不算貿易額裡面我想台美的計算方式都有不同的方式你這個裡面有回答耶 告訴我 來來來外交部市長有沒有算 來講清楚 這個很重要喔我們現在買的武器越來越多 這個算不算貿易 算不算報告委員好 如果是經過軍售管道 MFS 那麼是不算在我們的貿易的所以軍售 好 那就問你 軍售多少錢
transcript.whisperx[11].start 272.694
transcript.whisperx[11].end 286.883
transcript.whisperx[11].text 有多少這樣子管道多少一個是軍售一個商售嘛對不對商售就有嘛是不是商售有商售有軍售沒有那你告訴我們這個比例幾比幾這個可能我還在詢問一下國防部大概多少2比1
transcript.whisperx[12].start 290.39
transcript.whisperx[12].end 312.621
transcript.whisperx[12].text 我們手上沒有立即的數字 容後我們之後再來提供我們現在國防部 今天是國防部面來所以講清楚了 軍售不算 商售要算那一般來講 其實我們都知道商售的多 軍售的少 還是倒過來
transcript.whisperx[13].start 313.841
transcript.whisperx[13].end 336.458
transcript.whisperx[13].text 我們這個我的了解啦我的了解是說我們是這個直接的這個軍售大於商售我就是要你這個答案嘛我們軍售是因為是美國國防部幫我們拔對好等於對口是美國的國防部所以是說他不會算在直接的貿易戰上面但是我知道我的了解是說我們透過各種的管道
transcript.whisperx[14].start 337.058
transcript.whisperx[14].end 364.02
transcript.whisperx[14].text 也跟這個美方的 counterpart說清楚是說我們對於美國的這個軍事採購相當大的數額尤其是這幾年那麼因為貴院所通過的相關的預算我們有相當明顯的這個金額請他們也把這個東西能夠一併的在整個對我的這個相關的經濟關係上面一併的考慮進來這個你能不能去跟美國那邊提出要求啦那個副總代表
transcript.whisperx[15].start 365.734
transcript.whisperx[15].end 392.046
transcript.whisperx[15].text 不管軍售 商售 都要列入貿易額啦否則對台灣不公平啦這就到底的上前入國的一個條文啦那他想怎樣 我給美國買東西不然算在我們的貿易額裡面一直叫我們買 我們都通常一直買 一直買單結果這一部分來講的話 最少是大於軍售大於商售啊大部分的錢都 你都不扛了在裡面副總代表 可以嗎
transcript.whisperx[16].start 392.987
transcript.whisperx[16].end 396.708
transcript.whisperx[16].text 跟委員報告我們想我們台美的談判我們的台美的談判基本上比較沒有去觸及這一塊我們就是談傳在這個貿易議題上面這一塊也很重要怎麼不觸及他今天的一個對等規則就從這裡來的啊從貿易的逆差裡面推算回來的所以要掐起32%這道理在這裡啊對不對就是他的逆差除以除以他的一個進口額啊大家都很清楚啊我們
transcript.whisperx[17].start 423.615
transcript.whisperx[17].end 449.415
transcript.whisperx[17].text 這個對美國來講它出口是1100多億啊是 對吧 從這裡來的啊然後順差700多 除以它 除以二就是這樣來啊來 我們看20%啊 現在變成一個地盤價怎麼樣可以變成天花盤價就是不要疊加了簡單來講 不要疊加所以兩個重點 第一個我如果爭取不要疊加第二個 20%能不能再往下降這是一個重中之重
transcript.whisperx[18].start 451.923
transcript.whisperx[18].end 473.159
transcript.whisperx[18].text 好 我們這個就是我們現在正在爭取奴隸的空間怎麼樣可以達到嘛 告訴我們這個不是機密吧這個也是機密 喔 阿你來幹什麼啦所有談判的內容當然到目前都還是保密的狀態因為還沒有到最後底定的之前可能都會有變動來 那個經濟部的次長來 江次長你是國貿專家喔你在國貿署很久了
transcript.whisperx[19].start 479.099
transcript.whisperx[19].end 497.262
transcript.whisperx[19].text 我們你們部長講的說說溜了嘴但是檔案都留下來他說大家要付出代價是什麼啊我們增加投資4千億好不好啊這是你們郭部長講的4千億美金請問有沒有在跟業者談這個事情有沒有
transcript.whisperx[20].start 500.63
transcript.whisperx[20].end 523.808
transcript.whisperx[20].text 報告委員 這是郭部長他以舉例的方式來說明因為他有看到韓國跟日本在對外公佈的這個協商投資的金額所以郭部長在參加與業者的座談會當中有提到這個4千億的一個舉例這不是舉例啦 這已經快要是生命組織所換啦這個東西啊 為什麼我想上旬入國就在這裡
transcript.whisperx[21].start 528.713
transcript.whisperx[21].end 543.321
transcript.whisperx[21].text 日本的GDP4點多兆美金我們的GDP0.8兆他大概是我們的五六倍所以他投資5500億換的一個說地板價變成天馬板價我們按照日本的GDP來的話
transcript.whisperx[22].start 544.602
transcript.whisperx[22].end 571.887
transcript.whisperx[22].text 投資一千億都夠了 一千億美金綽綽有餘啦如果沒有把台積電算進來的話 那就已經達到了已經達到了 這樣很好算啦就這個來講 副總代表 你聽一下喔雖然你也沒有進到裡面去啦我今天才知道你根本就沒有進到裡面去然後不僅僅這樣子 我們還要爭取關稅20%往下降副總代表 來來來 副總代表
transcript.whisperx[23].start 574.077
transcript.whisperx[23].end 594.007
transcript.whisperx[23].text 這兩個重點可以嗎這個就是談判小組在努力的 沒錯好 這我講完就結束了其實我們都知道 還有一大塊很重要的國內人大概都只注意到說 我去美國的美國現在 就是鄭麗君副院長說的
transcript.whisperx[24].start 595.29
transcript.whisperx[24].end 607.085
transcript.whisperx[24].text 美國一直丟出來新的東西其中很重要的要台灣開放市場特別是農業 汽車業這一部分你能不能跟美國談
transcript.whisperx[25].start 608.499
transcript.whisperx[25].end 625.497
transcript.whisperx[25].text 比如說汽車的 我用貨物稅來取代關稅的條件貨物稅 基本上來講的話 財政部是比較去注意的用貨物稅 這貨物稅也被川普總統認定為非貿易障礙裡面的一環
transcript.whisperx[26].start 627.199
transcript.whisperx[26].end 638.196
transcript.whisperx[26].text 各國的貨物稅其實都跌很高我們的貨物稅很高啊 不同息息數這個非常高的 有20%以上的等等的 這一部分是不是你們也是要列入的談判範圍裡面
transcript.whisperx[27].start 640.493
transcript.whisperx[27].end 658.714
transcript.whisperx[27].text 我想我們跟美國談判的東西基本上是按照美國它的主要的需求來提出那對台灣來說貨物稅可能不是一個單純的汽車的問題它可能是一個整體性貨物稅有沒有對於不同的產業有租稅公平以及有沒有按照我們現在的時事需求去科證這個貨物稅
transcript.whisperx[28].start 660.015
transcript.whisperx[28].end 688.172
transcript.whisperx[28].text 所以我想這個會是政府在做整體性貨物稅減稅的時候去考量的方式農業 農業要進一步開放嗎農產品會進一步開放嗎這個你不能講是不是謝謝委員你不能講 那你來那邊做啥都不能講來這裡要黑箱到這裡對不對就是美國所有他有提過關稅非關稅的議題都是在我們台美談判的議程上面
transcript.whisperx[29].start 689.062
transcript.whisperx[29].end 712.798
transcript.whisperx[29].text 都不能講 你都不能講 公開不能講我們現在就是按照保密協議的方式 盡可能來鄭麗君 因為副院長公開已經講了美國跟我們談 每一次丟一個新的議題裡面有汽車 有這個農業的東西都有他都公開講了 你這裡又不能講 你是要來中產化嗎 不知道副院長有提到說 汽車是屬於美規車是非關稅的議題
transcript.whisperx[30].start 716.281
transcript.whisperx[30].end 723.863
transcript.whisperx[30].text 當然是一併考慮的那裡有廢棍所以主席跟主席報告我們的副總代表今天來都說這都機密的這個東西今天是公開的所以應該是據此以報
transcript.whisperx[31].start 735.005
transcript.whisperx[31].end 755.055
transcript.whisperx[31].text 據實與報啊 你在這裡有這個義務要誠實講要你知道的誠實講 除非你都不知道你是說你都不知道 因為你沒有進去那個房間裡面談對吧 你沒有進去房間裡面談各位委員報告 我們剛剛有提到是按照議題的分工 由談判的小組來決定參與你們 我最後一個細節問我就下去了你們總共跟美國談了幾次了
transcript.whisperx[32].start 761.086
transcript.whisperx[32].end 771.051
transcript.whisperx[32].text 我們實體的面對面談判有進行四次幾次啊四次是啥四次的實體面對面的談判四次實體面對面你參加了幾次你參加了幾次請問你我們就是你參加幾次啦嚴副總代表你參加幾次你告訴我
transcript.whisperx[33].start 781.805
transcript.whisperx[33].end 803.004
transcript.whisperx[33].text 我想我們整個談判的團隊就是是需要我們來支援談判小組你還是沒辦法回答我這個讓我就高度質疑你根本就是狀況外你只是拿來當炮灰而已來立法院當炮灰你根本you know nothing你根本什麼都不知道你自己也不知道
transcript.whisperx[34].start 804.934
transcript.whisperx[34].end 827.663
transcript.whisperx[34].text 這樣子對不對這個瞧不起立法院了找一個不知道的人來備詢怎麼會這樣子呢那你要跟我回答啊回答這問題你一直不回答我就沒辦法下來啊面對面面對面的meeting裡面你參加幾次你回答我就這個問題回答我參加幾次一次比較多一點兩次
transcript.whisperx[35].start 832.264
transcript.whisperx[35].end 832.404
transcript.whisperx[35].text 謝謝萊斯堡委員