iVOD / 156331

Field Value
IVOD_ID 156331
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/156331
日期 2024-10-30
影片種類 Clip
開始時間 2024-10-30T12:46:02+08:00
結束時間 2024-10-30T12:57:09+08:00
影片長度 00:11:07
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/da0d5cdf8d126ade2767cf86bf6a785467ff13663af3209ef293381db574b3e9ea4ab2856517d8325ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 羅明才
委員發言時間 12:46:02 - 12:57:09
會議時間 2024-10-30T09:00:00+08:00
會議名稱 立法院第11屆第2會期財政委員會第5次全體委員會議(事由:一、邀請金融監督管理委員會彭主任委員金隆率所屬機關首長暨中央存款保險股份有限公司、監管相關機構有關之財團法人、臺灣證券交易所股份有限公司、臺灣期貨交易所股份有限公司、臺灣集中保管結算所股份有限公司等董事長、總經理列席業務報告,並備質詢。二、繼續審查「證券交易稅條例」5案:(一) 行政院函請審議「證券交易稅條例第二條之二及第十二條條文修正草案」案。(二) 本院委員羅明才等20人擬具「證券交易稅條例第二條之二條文修正草案」案。(三) 本院委員賴士葆等25人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。(四) 本院委員伍麗華等19人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。(五) 本院委員邱志偉等19人擬具「證券交易稅條例第十二條條文修正草案」案。三、審查「證券交易稅條例」5案:(一) 本院台灣民眾黨黨團擬具「證券交易稅條例部分條文修正草案」。【本案如經院會復議,則不予審查】(二) 本院委員林楚茵等19人擬具「證券交易稅條例第二條之二條文修正草案」案。(三) 本院委員李坤城等22人擬具「證券交易稅條例第二條之二條文修正草案」。【本案如經院會復議,則不予審查】(四) 本院委員賴惠員等37人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。(五) 本院委員蔡易餘等16人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」。【本案如經院會復議,則不予審查】四、審查金融監督管理委員會函送「延長調降當日沖銷交易稅之稅式支出評估報告」及「研商延長調降當沖交易證券交易稅實施期間」公聽會之會議紀錄案。五、討論中華民國114年度中央政府總預算案(含附屬單位預算及綜計表-營業及非營業部分)審查日程暨審查分配表草案。【10/30及10/31,兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 4.41846875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 4.87409375
transcript.pyannote[1].end 5.85284375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 7.96221875
transcript.pyannote[2].end 8.53596875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 8.83971875
transcript.pyannote[3].end 9.85221875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 10.40909375
transcript.pyannote[4].end 12.97409375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 13.31159375
transcript.pyannote[5].end 14.81346875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 15.67409375
transcript.pyannote[6].end 21.41159375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 21.85034375
transcript.pyannote[7].end 21.86721875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 21.86721875
transcript.pyannote[8].end 50.09909375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 50.92596875
transcript.pyannote[9].end 52.02284375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 52.37721875
transcript.pyannote[10].end 55.87034375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 55.87034375
transcript.pyannote[11].end 55.92096875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 56.83221875
transcript.pyannote[12].end 56.86596875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 56.86596875
transcript.pyannote[13].end 57.38909375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 57.86159375
transcript.pyannote[14].end 68.98221875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 69.87659375
transcript.pyannote[15].end 73.65659375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 74.02784375
transcript.pyannote[16].end 75.52971875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 76.05284375
transcript.pyannote[17].end 77.55471875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 77.82471875
transcript.pyannote[18].end 79.05659375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 80.47409375
transcript.pyannote[19].end 81.53721875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 81.97596875
transcript.pyannote[20].end 87.61221875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 88.43909375
transcript.pyannote[21].end 88.74284375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 89.40096875
transcript.pyannote[22].end 92.59034375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 94.68284375
transcript.pyannote[23].end 99.96471875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 99.96471875
transcript.pyannote[24].end 101.77034375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 102.00659375
transcript.pyannote[25].end 104.08221875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 104.70659375
transcript.pyannote[26].end 106.02284375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 106.15784375
transcript.pyannote[27].end 106.84971875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 106.95096875
transcript.pyannote[28].end 111.52409375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 112.31721875
transcript.pyannote[29].end 112.33409375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 112.33409375
transcript.pyannote[30].end 112.38471875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 112.38471875
transcript.pyannote[31].end 113.48159375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 113.48159375
transcript.pyannote[32].end 113.61659375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 114.71346875
transcript.pyannote[33].end 121.66596875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 122.10471875
transcript.pyannote[34].end 122.15534375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 122.15534375
transcript.pyannote[35].end 125.98596875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 126.55971875
transcript.pyannote[36].end 127.06596875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 127.31909375
transcript.pyannote[37].end 127.97721875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 128.88846875
transcript.pyannote[38].end 131.35221875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 131.68971875
transcript.pyannote[39].end 136.90409375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 137.10659375
transcript.pyannote[40].end 139.97534375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 139.97534375
transcript.pyannote[41].end 140.07659375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 140.07659375
transcript.pyannote[42].end 140.11034375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 140.86971875
transcript.pyannote[43].end 140.88659375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 140.88659375
transcript.pyannote[44].end 143.45159375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 143.73846875
transcript.pyannote[45].end 144.00846875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 144.81846875
transcript.pyannote[46].end 155.02784375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 155.02784375
transcript.pyannote[47].end 155.11221875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 155.11221875
transcript.pyannote[48].end 155.12909375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 155.51721875
transcript.pyannote[49].end 156.78284375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 156.78284375
transcript.pyannote[50].end 156.83346875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 157.44096875
transcript.pyannote[51].end 164.24159375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 165.03471875
transcript.pyannote[52].end 169.25346875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 167.65034375
transcript.pyannote[53].end 167.66721875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 169.79346875
transcript.pyannote[54].end 171.48096875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 172.51034375
transcript.pyannote[55].end 173.64096875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 175.42971875
transcript.pyannote[56].end 177.79221875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 178.24784375
transcript.pyannote[57].end 181.53846875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 181.92659375
transcript.pyannote[58].end 183.66471875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 182.71971875
transcript.pyannote[59].end 183.68159375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 184.35659375
transcript.pyannote[60].end 185.90909375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 186.75284375
transcript.pyannote[61].end 187.86659375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 189.01409375
transcript.pyannote[62].end 189.53721875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 189.85784375
transcript.pyannote[63].end 190.97159375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 193.97534375
transcript.pyannote[64].end 194.02596875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 194.04284375
transcript.pyannote[65].end 196.05096875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 197.14784375
transcript.pyannote[66].end 203.02034375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 200.94471875
transcript.pyannote[67].end 200.96159375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 200.96159375
transcript.pyannote[68].end 200.97846875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 200.97846875
transcript.pyannote[69].end 201.21471875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 201.21471875
transcript.pyannote[70].end 201.65346875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 204.35346875
transcript.pyannote[71].end 210.85034375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 211.00221875
transcript.pyannote[72].end 211.67721875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 213.02721875
transcript.pyannote[73].end 213.63471875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 214.42784375
transcript.pyannote[74].end 226.32471875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 226.71284375
transcript.pyannote[75].end 232.50096875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 232.63596875
transcript.pyannote[76].end 235.01534375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 235.45409375
transcript.pyannote[77].end 236.06159375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 236.68596875
transcript.pyannote[78].end 238.99784375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 239.90909375
transcript.pyannote[79].end 242.32221875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 242.32221875
transcript.pyannote[80].end 244.06034375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 244.58346875
transcript.pyannote[81].end 246.10221875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 244.65096875
transcript.pyannote[82].end 245.12346875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 247.77284375
transcript.pyannote[83].end 248.07659375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 248.59971875
transcript.pyannote[84].end 249.32534375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 249.51096875
transcript.pyannote[85].end 251.11409375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 251.77221875
transcript.pyannote[86].end 252.85221875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 254.62409375
transcript.pyannote[87].end 255.78846875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 256.21034375
transcript.pyannote[88].end 256.48034375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 259.53471875
transcript.pyannote[89].end 261.61034375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 261.00284375
transcript.pyannote[90].end 261.37409375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 261.96471875
transcript.pyannote[91].end 265.59284375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 266.20034375
transcript.pyannote[92].end 267.02721875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 267.02721875
transcript.pyannote[93].end 275.78534375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 276.35909375
transcript.pyannote[94].end 278.45159375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 278.90721875
transcript.pyannote[95].end 282.97409375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 282.97409375
transcript.pyannote[96].end 283.26096875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 283.26096875
transcript.pyannote[97].end 283.31159375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 283.64909375
transcript.pyannote[98].end 283.66596875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 283.66596875
transcript.pyannote[99].end 284.61096875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 284.88096875
transcript.pyannote[100].end 286.70346875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 286.97346875
transcript.pyannote[101].end 288.32346875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 289.52159375
transcript.pyannote[102].end 290.24721875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 290.93909375
transcript.pyannote[103].end 295.29284375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 295.63034375
transcript.pyannote[104].end 301.24971875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 302.02596875
transcript.pyannote[105].end 302.51534375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 303.08909375
transcript.pyannote[106].end 304.25346875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 304.87784375
transcript.pyannote[107].end 307.02096875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 307.99971875
transcript.pyannote[108].end 309.53534375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 310.05846875
transcript.pyannote[109].end 311.20596875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 311.49284375
transcript.pyannote[110].end 313.14659375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 313.29846875
transcript.pyannote[111].end 313.63596875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 314.63159375
transcript.pyannote[112].end 317.43284375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 318.10784375
transcript.pyannote[113].end 318.73221875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 318.91784375
transcript.pyannote[114].end 319.86284375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 320.52096875
transcript.pyannote[115].end 325.75221875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 326.42721875
transcript.pyannote[116].end 328.84034375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 329.14409375
transcript.pyannote[117].end 334.94909375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 334.98284375
transcript.pyannote[118].end 335.03346875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 335.11784375
transcript.pyannote[119].end 335.13471875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 335.13471875
transcript.pyannote[120].end 341.20971875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 342.34034375
transcript.pyannote[121].end 345.96846875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 347.23409375
transcript.pyannote[122].end 348.61784375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 348.92159375
transcript.pyannote[123].end 350.76096875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 351.08159375
transcript.pyannote[124].end 353.39346875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 353.49471875
transcript.pyannote[125].end 360.97034375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 361.05471875
transcript.pyannote[126].end 365.61096875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 365.61096875
transcript.pyannote[127].end 365.86409375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 365.91471875
transcript.pyannote[128].end 372.79971875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 372.88409375
transcript.pyannote[129].end 372.90096875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 372.90096875
transcript.pyannote[130].end 377.13659375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 377.13659375
transcript.pyannote[131].end 377.17034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 377.45721875
transcript.pyannote[132].end 377.50784375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 377.50784375
transcript.pyannote[133].end 377.86221875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 377.86221875
transcript.pyannote[134].end 378.19971875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 378.19971875
transcript.pyannote[135].end 378.40221875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 378.40221875
transcript.pyannote[136].end 379.98846875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 379.98846875
transcript.pyannote[137].end 386.28284375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 386.33346875
transcript.pyannote[138].end 386.43471875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 386.43471875
transcript.pyannote[139].end 392.93159375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 387.49784375
transcript.pyannote[140].end 388.03784375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 394.73721875
transcript.pyannote[141].end 395.63159375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 396.01971875
transcript.pyannote[142].end 396.64409375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 397.25159375
transcript.pyannote[143].end 398.09534375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 399.07409375
transcript.pyannote[144].end 400.77846875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 402.53346875
transcript.pyannote[145].end 403.19159375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 403.66409375
transcript.pyannote[146].end 407.49471875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 407.86596875
transcript.pyannote[147].end 409.95846875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 410.24534375
transcript.pyannote[148].end 415.24034375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 414.53159375
transcript.pyannote[149].end 420.60659375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 421.01159375
transcript.pyannote[150].end 423.76221875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 424.26846875
transcript.pyannote[151].end 425.11221875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 427.20471875
transcript.pyannote[152].end 427.82909375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 427.82909375
transcript.pyannote[153].end 427.86284375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 428.03159375
transcript.pyannote[154].end 428.04846875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 428.04846875
transcript.pyannote[155].end 428.82471875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 430.37721875
transcript.pyannote[156].end 431.00159375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 431.64284375
transcript.pyannote[157].end 431.82846875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 432.33471875
transcript.pyannote[158].end 433.58346875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 437.90346875
transcript.pyannote[159].end 441.41346875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 441.80159375
transcript.pyannote[160].end 442.39221875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 442.91534375
transcript.pyannote[161].end 443.32034375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 443.79284375
transcript.pyannote[162].end 444.58596875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 444.94034375
transcript.pyannote[163].end 447.57284375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 448.07909375
transcript.pyannote[164].end 449.31096875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 457.27596875
transcript.pyannote[165].end 457.74846875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 458.25471875
transcript.pyannote[166].end 458.27159375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 458.27159375
transcript.pyannote[167].end 458.52471875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 458.52471875
transcript.pyannote[168].end 458.57534375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 459.01409375
transcript.pyannote[169].end 461.56221875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 461.74784375
transcript.pyannote[170].end 462.87846875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 463.63784375
transcript.pyannote[171].end 465.46034375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 465.66284375
transcript.pyannote[172].end 467.63721875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 468.61596875
transcript.pyannote[173].end 473.23971875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 473.72909375
transcript.pyannote[174].end 475.70346875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 476.39534375
transcript.pyannote[175].end 477.66096875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 478.04909375
transcript.pyannote[176].end 480.27659375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 481.01909375
transcript.pyannote[177].end 481.72784375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 483.11159375
transcript.pyannote[178].end 484.46159375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 485.10284375
transcript.pyannote[179].end 487.21221875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 487.88721875
transcript.pyannote[180].end 492.98346875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 488.14034375
transcript.pyannote[181].end 489.59159375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 493.11846875
transcript.pyannote[182].end 493.82721875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 493.27034375
transcript.pyannote[183].end 493.97909375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 494.28284375
transcript.pyannote[184].end 494.29971875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 494.29971875
transcript.pyannote[185].end 494.68784375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 495.09284375
transcript.pyannote[186].end 500.69534375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 502.24784375
transcript.pyannote[187].end 503.58096875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 511.24221875
transcript.pyannote[188].end 517.26659375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 519.79784375
transcript.pyannote[189].end 520.48971875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 520.48971875
transcript.pyannote[190].end 520.50659375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 521.21534375
transcript.pyannote[191].end 529.97346875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 529.97346875
transcript.pyannote[192].end 534.42846875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 534.66471875
transcript.pyannote[193].end 536.75721875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 537.26346875
transcript.pyannote[194].end 538.10721875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 538.19159375
transcript.pyannote[195].end 542.64659375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 543.74346875
transcript.pyannote[196].end 545.66721875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 546.84846875
transcript.pyannote[197].end 548.04659375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 548.41784375
transcript.pyannote[198].end 549.43034375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 549.76784375
transcript.pyannote[199].end 552.63659375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 552.63659375
transcript.pyannote[200].end 552.82221875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 552.82221875
transcript.pyannote[201].end 553.02471875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 553.02471875
transcript.pyannote[202].end 559.67346875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 555.16784375
transcript.pyannote[203].end 555.58971875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 559.21784375
transcript.pyannote[204].end 559.45409375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 560.01096875
transcript.pyannote[205].end 560.70284375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 560.06159375
transcript.pyannote[206].end 560.48346875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 561.51284375
transcript.pyannote[207].end 562.42409375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 563.89221875
transcript.pyannote[208].end 564.04409375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 564.63471875
transcript.pyannote[209].end 564.97221875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 564.97221875
transcript.pyannote[210].end 566.28846875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 566.72721875
transcript.pyannote[211].end 567.79034375
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 568.73534375
transcript.pyannote[212].end 569.37659375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 570.84471875
transcript.pyannote[213].end 577.74659375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 578.50596875
transcript.pyannote[214].end 588.73221875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 578.60721875
transcript.pyannote[215].end 580.19346875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 589.42409375
transcript.pyannote[216].end 589.84596875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 589.84596875
transcript.pyannote[217].end 599.39721875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 600.49409375
transcript.pyannote[218].end 602.85659375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 603.64971875
transcript.pyannote[219].end 606.11346875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 607.07534375
transcript.pyannote[220].end 608.61096875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 609.35346875
transcript.pyannote[221].end 613.65659375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 613.74096875
transcript.pyannote[222].end 614.21346875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 614.46659375
transcript.pyannote[223].end 619.27596875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 619.73159375
transcript.pyannote[224].end 622.06034375
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 623.00534375
transcript.pyannote[225].end 625.06409375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 625.65471875
transcript.pyannote[226].end 626.46471875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 627.02159375
transcript.pyannote[227].end 639.12096875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 629.62034375
transcript.pyannote[228].end 629.89034375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 640.31909375
transcript.pyannote[229].end 647.96346875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 648.33471875
transcript.pyannote[230].end 651.18659375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 651.20346875
transcript.pyannote[231].end 653.81909375
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 656.80596875
transcript.pyannote[232].end 658.39221875
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 663.79221875
transcript.pyannote[233].end 665.05784375
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 665.42909375
transcript.pyannote[234].end 667.18409375
transcript.whisperx[0].start 0.049
transcript.whisperx[0].end 13.395
transcript.whisperx[0].text 主席各位主席各位出列席官員主席請彭主委好彭主委何維文想請教一下是在美國總統選舉
transcript.whisperx[1].start 15.714
transcript.whisperx[1].end 34.941
transcript.whisperx[1].text 如果是川普當選大概對臺灣股市的影響會如何大家當然是預期不同的產業有不同的影響這是大家從他的政見跟他發表言論裡面提出來的當然剛剛早上很多委員關切會不會對我們的半導體業特別對我們的龍頭這個會產生影響
transcript.whisperx[2].start 37.802
transcript.whisperx[2].end 51.369
transcript.whisperx[2].text 所以他這個當然昨天有稍微有些訊息就可能產生一些大家會很關注這個議題那確實我覺得這是一個國際上矚目的事件對臺灣的資本市場一定會有所影響川普當選臺股會不會上漲到3萬點
transcript.whisperx[3].start 57.933
transcript.whisperx[3].end 78.614
transcript.whisperx[3].text 這個包委員我們今晚會沒辦法預期這件事情我們只是在在乎就是說這個我們的資本市場能不能夠穩定安全的進行這個所有的運作跟交易如果延續拜登的一些精神全世界到處戰爭如果是川普當選可能就是直戰
transcript.whisperx[4].start 80.609
transcript.whisperx[4].end 91.735
transcript.whisperx[4].text 會不會有這樣的說法當然媒體有很多種的專家的報導這也是我有看到這樣的一個講法對所以世界和平股市就繼續漲啊
transcript.whisperx[5].start 94.741
transcript.whisperx[5].end 113.258
transcript.whisperx[5].text 那當然是穩定的這個環境當然是股市一個很重要的基礎我們看今天的這個當沖降稅決定要讓他通過吧當然我們是站在這個今晚的立場我們的態度跟整個都表達得非常明確我們是支持的我的提案是五年
transcript.whisperx[6].start 114.775
transcript.whisperx[6].end 143.169
transcript.whisperx[6].text 我們原來的提供給財政部也是5年但是財政部後來他們提的方案是3年我問了幾個委員大家希望還是可以5年如果待會晚一點要處理的時候希望如果是5年大家都支持的話我們就讓他5年通過好不好我們還是支持行政院的決定沒有你要支持立法院的決定
transcript.whisperx[7].start 144.895
transcript.whisperx[7].end 173.015
transcript.whisperx[7].text 如果問金管會立場的話我們雖然提供給這個財政部的意見剛剛跟提到的也跟委員做過說明了但是一定要過因為不過來不及了當然我們希望他能夠通過能夠繼續因為你在剩幾個月年底之前就到了是而且立法院還有二讀還有三讀對那有期間的限制確實速度要快一點主任你們現在
transcript.whisperx[8].start 175.515
transcript.whisperx[8].end 201.492
transcript.whisperx[8].text 其他的單位你們算是最有錢的也沒有是因為我們金管的單位比較是金融業才是你看存款保險公司現在裡面多少錢存保裡面的基金嗎銀業稅的特別準備金是兩千一百剛才局長跟我們講說他這個銀業稅的準備金是兩千一百多億對謝謝
transcript.whisperx[9].start 204.4
transcript.whisperx[9].end 209.191
transcript.whisperx[9].text 報告委員那個存保這邊保管的就是金融業的特別準備金是約2100億左右夠不夠
transcript.whisperx[10].start 215.549
transcript.whisperx[10].end 237.871
transcript.whisperx[10].text 因為這個基本上是在有經營不善金融機構要退場的時候才會需要動用到那以目前現在各個金融機構財務狀況都非常健全的狀況之下暫時應該是不會使用到現在平均預方是多少現在我們的預方是0.16
transcript.whisperx[11].start 240.086
transcript.whisperx[11].end 264.483
transcript.whisperx[11].text 跟歷史上比起來相對的好應該是非常低的水位應該是最低的水位另外證券交易所裡面錢也不少吧臺灣證券交易所現在主委所有相關的單位是兵強馬大
transcript.whisperx[12].start 266.28
transcript.whisperx[12].end 289.915
transcript.whisperx[12].text 最強的時候確實現在金融商業的獲利還有就是我們包括我們的資本市場確實是在過去來講是算是一個非常非常好的一個狀況那現在日均量大概多少錢現在大概日均量加起來應該是將近5000億5000億喔對我們也希望說這個量穩健的發展甚至
transcript.whisperx[13].start 290.987
transcript.whisperx[13].end 316.946
transcript.whisperx[13].text 迎合你未來的亞洲的資產管理中心希望更多的外資等11月5號以後更多外資可以進來因為如果川普當選就比較不會有地緣政治的問題不然我看上一個拜登的延續他就到處世界點火所以我們也是希望看這個局勢
transcript.whisperx[14].start 318.191
transcript.whisperx[14].end 345.204
transcript.whisperx[14].text 如果川普當選他也是鼓勵虛擬貨幣的交易吧是不是他對這個比較持正面的態度好那你們要做出一些規劃如果川普當選的話金管會要大幅度的開放虛擬交易市場我們還是按照我們的步驟按階段的來做這個市場的一些的這個管理剛剛也有報告過我們先從專業投資人開始
transcript.whisperx[15].start 347.264
transcript.whisperx[15].end 371.297
transcript.whisperx[15].text 如果是川普當選你要迎合世界的潮流美國開放當然我們跟著開放啊對,我們剛才提到就是說我們會定期來評估那個實施以後國人在接觸這樣那個產品以後的後果跟反應以及他們的結果如何我們再來決定是否擴大本席希望你現在趕快做一些因應的措施A當選B當選你們要怎麼布局
transcript.whisperx[16].start 372.998
transcript.whisperx[16].end 400.284
transcript.whisperx[16].text 是,我們也都有在這個進行這樣一個情況的演練跟模擬快一點嘛,因為時間馬上就到了是,跟委員報告,剛剛那個有個數字差異修正一下我們現在是日成交均量是4200億左右是,15千億還可以那臺灣證券交易所現在裡面現金很多吧還可以大概多少錢我們的現金是
transcript.whisperx[17].start 402.654
transcript.whisperx[17].end 428.785
transcript.whisperx[17].text 四百億四百多億哇 你看很多錢但這個錢就是要好好利用主委你要讓這個F4裡面不要浪費其實我們交付他們非常多的任務也希望善用這筆他們的這樣的資源來讓金融市場或是整個社會更好齊交所呢齊交所還有集保應該都
transcript.whisperx[18].start 432.648
transcript.whisperx[18].end 449.096
transcript.whisperx[18].text 應該都不少錢吧委員好因為企交所規模比較小大概只有證交所的一半兩百億是也不錯啊都是坐擁百億金三銀三那那個集保勒
transcript.whisperx[19].start 457.318
transcript.whisperx[19].end 481.245
transcript.whisperx[19].text 林董是那集管目前大概380億左右喔要加上900多億欸欸這大概歷史的新高啊對以前喔我在每一屆大概以前都又小又弱做什麼事也都沒錢你們這樣好的時候應該要好好整修一下比如說
transcript.whisperx[20].start 483.794
transcript.whisperx[20].end 503.301
transcript.whisperx[20].text 這個政企局裡面那個沙發已經20年沒換了沙發委員有灌結過所以我有特別去看那個沙發應該不存在啦喔換掉了喔對因為舊的東西該換還要換還有一些資訊軟體等等那OTC呢OTC錢多不多
transcript.whisperx[21].start 511.474
transcript.whisperx[21].end 531.428
transcript.whisperx[21].text 檢董去那邊比較不習慣因為以前101那邊資源多相當小地方啊大概多少錢我們基金累積到現在有100億但是現金比較少我們現金可以動用的大概是6億多60億、100億OK 好 謝謝
transcript.whisperx[22].start 534.793
transcript.whisperx[22].end 562.014
transcript.whisperx[22].text 那加一加都是超過千億的包括那個存保存款保險兩千多億當然還有其他啦我覺得應該是在保發中心錢也比較多吧保發中心其實錢不多啦那是保發基金比較多一點保險安定基金多大概多少安定基金
transcript.whisperx[23].start 565.834
transcript.whisperx[23].end 588.368
transcript.whisperx[23].text 420億左右420億OK那其他加一加所以主委你掌管的其實是中華民國最重要的我想每個部會都很重要只是說因為我們剛好這裡最近他們的經營或是這樣都很努力所以累積一些成果那我們希望能夠善用這些資源
transcript.whisperx[24].start 589.485
transcript.whisperx[24].end 613.365
transcript.whisperx[24].text 就你資源很多,要拜託你一件事情,下一次黃仁勳來臺灣的時候,你拜託他可以到臺灣發TDR好不好?我們請周邊啊,周邊這些都是,蕭永、山正都很強的啊有沒有辦法請,像這個NVIDIA公司回臺灣分拆上市
transcript.whisperx[25].start 614.554
transcript.whisperx[25].end 638.441
transcript.whisperx[25].text 所以我們想這個委員這個提示我們會來研究一下我大力研究因為我在幫你啊因為主委你說你要打造臺灣成亞太的資產管理中心你的能見度要高當然要世界級的黃榮鑫的臺灣人嘛透過他們的關係我知道他們裡面可能有人跟他認識
transcript.whisperx[26].start 640.527
transcript.whisperx[26].end 653.598
transcript.whisperx[26].text 如果沒有認識就算了經濟部長、郭部長說跟他認識應該認識機會都很多我們希望可以讓國際公司回臺灣上市好不好好謝謝謝謝委員謝謝羅民財委員好主席在這裡宣告今日登記花