iVOD / 167769

Field Value
IVOD_ID 167769
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167769
日期 2026-03-23
會議資料.會議代碼 委員會-11-5-20-4
會議資料.會議代碼:str 第11屆第5會期財政委員會第4次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 4
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第5會期財政委員會第4次全體委員會議
影片種類 Clip
開始時間 2026-03-23T10:55:34+08:00
結束時間 2026-03-23T11:08:51+08:00
影片長度 00:13:17
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fac85a1267872a8abcf8eb89ffb52377e6927793779d72c5d7f21695b503ffebc358bed1a557d1e65ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 羅明才
委員發言時間 10:55:34 - 11:08:51
會議時間 2026-03-23T09:00:00+08:00
會議名稱 立法院第11屆第5會期財政委員會第4次全體委員會議(事由:審查本院台灣民眾黨黨團、委員林思銘等21人分別擬具「虛擬資產服務法草案」等2案。(僅詢答))
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 2.27534375
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 8.29971875
transcript.pyannote[1].end 10.35846875
transcript.pyannote[2].speaker SPEAKER_04
transcript.pyannote[2].start 10.71284375
transcript.pyannote[2].end 11.86034375
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 12.85596875
transcript.pyannote[3].end 14.62784375
transcript.pyannote[4].speaker SPEAKER_04
transcript.pyannote[4].start 15.18471875
transcript.pyannote[4].end 15.91034375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 15.20159375
transcript.pyannote[5].end 15.94409375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 15.94409375
transcript.pyannote[6].end 15.99471875
transcript.pyannote[7].speaker SPEAKER_04
transcript.pyannote[7].start 16.90596875
transcript.pyannote[7].end 18.77909375
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 19.60596875
transcript.pyannote[8].end 21.27659375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 21.10784375
transcript.pyannote[9].end 21.79971875
transcript.pyannote[10].speaker SPEAKER_04
transcript.pyannote[10].start 22.67721875
transcript.pyannote[10].end 24.22971875
transcript.pyannote[11].speaker SPEAKER_04
transcript.pyannote[11].start 24.78659375
transcript.pyannote[11].end 26.79471875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 26.86221875
transcript.pyannote[12].end 28.87034375
transcript.pyannote[13].speaker SPEAKER_04
transcript.pyannote[13].start 29.10659375
transcript.pyannote[13].end 31.30034375
transcript.pyannote[14].speaker SPEAKER_04
transcript.pyannote[14].start 31.82346875
transcript.pyannote[14].end 33.02159375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 33.59534375
transcript.pyannote[15].end 33.74721875
transcript.pyannote[16].speaker SPEAKER_04
transcript.pyannote[16].start 33.74721875
transcript.pyannote[16].end 33.88221875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 33.88221875
transcript.pyannote[17].end 33.93284375
transcript.pyannote[18].speaker SPEAKER_04
transcript.pyannote[18].start 34.69221875
transcript.pyannote[18].end 35.21534375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 35.28284375
transcript.pyannote[19].end 35.53596875
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 36.34596875
transcript.pyannote[20].end 36.88596875
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 37.29096875
transcript.pyannote[21].end 38.08409375
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 38.47221875
transcript.pyannote[22].end 39.43409375
transcript.pyannote[23].speaker SPEAKER_04
transcript.pyannote[23].start 40.37909375
transcript.pyannote[23].end 40.95284375
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 41.50971875
transcript.pyannote[24].end 42.65721875
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 43.07909375
transcript.pyannote[25].end 44.24346875
transcript.pyannote[26].speaker SPEAKER_04
transcript.pyannote[26].start 44.66534375
transcript.pyannote[26].end 45.67784375
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 46.99409375
transcript.pyannote[27].end 47.60159375
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 48.31034375
transcript.pyannote[28].end 49.25534375
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 49.93034375
transcript.pyannote[29].end 50.31846875
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 50.97659375
transcript.pyannote[30].end 51.53346875
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 52.03971875
transcript.pyannote[31].end 53.33909375
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 53.98034375
transcript.pyannote[32].end 54.72284375
transcript.pyannote[33].speaker SPEAKER_04
transcript.pyannote[33].start 55.41471875
transcript.pyannote[33].end 57.10221875
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 57.64221875
transcript.pyannote[34].end 57.89534375
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 58.21596875
transcript.pyannote[35].end 58.89096875
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 59.46471875
transcript.pyannote[36].end 61.40534375
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 62.18159375
transcript.pyannote[37].end 64.40909375
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 65.15159375
transcript.pyannote[38].end 65.16846875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 65.16846875
transcript.pyannote[39].end 75.34409375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 75.78284375
transcript.pyannote[40].end 76.96409375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 77.09909375
transcript.pyannote[41].end 79.02284375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 79.47846875
transcript.pyannote[42].end 84.50721875
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 85.04721875
transcript.pyannote[43].end 85.18221875
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 86.12721875
transcript.pyannote[44].end 89.08034375
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 89.24909375
transcript.pyannote[45].end 90.98721875
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 92.40471875
transcript.pyannote[46].end 94.56471875
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 95.22284375
transcript.pyannote[47].end 96.74159375
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 97.46721875
transcript.pyannote[48].end 98.51346875
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 98.96909375
transcript.pyannote[49].end 99.79596875
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 99.99846875
transcript.pyannote[50].end 101.63534375
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 102.31034375
transcript.pyannote[51].end 103.17096875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 103.59284375
transcript.pyannote[52].end 104.45346875
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 104.67284375
transcript.pyannote[53].end 105.68534375
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 106.29284375
transcript.pyannote[54].end 107.79471875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 108.30096875
transcript.pyannote[55].end 109.39784375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 110.22471875
transcript.pyannote[56].end 110.84909375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 110.96721875
transcript.pyannote[57].end 121.09221875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 121.39596875
transcript.pyannote[58].end 140.61659375
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 137.29221875
transcript.pyannote[59].end 141.39284375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 141.47721875
transcript.pyannote[60].end 161.32221875
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 162.38534375
transcript.pyannote[61].end 163.21221875
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 163.33034375
transcript.pyannote[62].end 165.08534375
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 165.49034375
transcript.pyannote[63].end 167.56596875
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 168.00471875
transcript.pyannote[64].end 168.74721875
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 169.84409375
transcript.pyannote[65].end 170.41784375
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 170.75534375
transcript.pyannote[66].end 174.02909375
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 174.80534375
transcript.pyannote[67].end 175.68284375
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 175.90221875
transcript.pyannote[68].end 177.45471875
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 177.60659375
transcript.pyannote[69].end 180.23909375
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 180.79596875
transcript.pyannote[70].end 182.36534375
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 182.51721875
transcript.pyannote[71].end 184.25534375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 185.48721875
transcript.pyannote[72].end 192.33846875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 193.13159375
transcript.pyannote[73].end 202.91909375
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 201.92346875
transcript.pyannote[74].end 202.73346875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 203.40846875
transcript.pyannote[75].end 204.16784375
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 203.66159375
transcript.pyannote[76].end 206.02409375
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 206.58096875
transcript.pyannote[77].end 209.46659375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 209.77034375
transcript.pyannote[78].end 215.35596875
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 215.74409375
transcript.pyannote[79].end 222.29159375
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 224.02971875
transcript.pyannote[80].end 226.22346875
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 226.17284375
transcript.pyannote[81].end 227.15159375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 226.30784375
transcript.pyannote[82].end 228.18096875
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 228.28221875
transcript.pyannote[83].end 230.20596875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 231.26909375
transcript.pyannote[84].end 231.55596875
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 231.70784375
transcript.pyannote[85].end 233.49659375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 236.24721875
transcript.pyannote[86].end 236.70284375
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 236.70284375
transcript.pyannote[87].end 239.65596875
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 236.73659375
transcript.pyannote[88].end 237.29346875
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 240.34784375
transcript.pyannote[89].end 241.73159375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 242.64284375
transcript.pyannote[90].end 253.02096875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 253.51034375
transcript.pyannote[91].end 254.62409375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 255.72096875
transcript.pyannote[92].end 261.42471875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 261.81284375
transcript.pyannote[93].end 263.16284375
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 262.97721875
transcript.pyannote[94].end 263.24721875
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 264.15846875
transcript.pyannote[95].end 268.63034375
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 269.64284375
transcript.pyannote[96].end 271.53284375
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 271.87034375
transcript.pyannote[97].end 274.04721875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 275.71784375
transcript.pyannote[98].end 280.25721875
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 281.01659375
transcript.pyannote[99].end 283.02471875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 283.42971875
transcript.pyannote[100].end 285.91034375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 288.05346875
transcript.pyannote[101].end 292.12034375
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 291.85034375
transcript.pyannote[102].end 296.60909375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 299.03909375
transcript.pyannote[103].end 315.77909375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 316.43721875
transcript.pyannote[104].end 318.10784375
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 319.98096875
transcript.pyannote[105].end 321.71909375
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 322.12409375
transcript.pyannote[106].end 323.28846875
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 323.67659375
transcript.pyannote[107].end 328.75596875
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 329.31284375
transcript.pyannote[108].end 330.07221875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 330.84846875
transcript.pyannote[109].end 334.84784375
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 335.38784375
transcript.pyannote[110].end 337.78409375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 339.47159375
transcript.pyannote[111].end 354.08534375
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 354.67596875
transcript.pyannote[112].end 369.17159375
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 369.28971875
transcript.pyannote[113].end 371.33159375
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 371.60159375
transcript.pyannote[114].end 373.03596875
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 373.23846875
transcript.pyannote[115].end 375.21284375
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 375.41534375
transcript.pyannote[116].end 377.03534375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 378.95909375
transcript.pyannote[117].end 409.40159375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 409.55346875
transcript.pyannote[118].end 417.06284375
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 416.35409375
transcript.pyannote[119].end 419.18909375
transcript.pyannote[120].speaker SPEAKER_04
transcript.pyannote[120].start 419.47596875
transcript.pyannote[120].end 422.10846875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 424.25159375
transcript.pyannote[121].end 445.14284375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 445.51409375
transcript.pyannote[122].end 455.13284375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 455.67284375
transcript.pyannote[123].end 457.78221875
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 460.00971875
transcript.pyannote[124].end 460.60034375
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 460.85346875
transcript.pyannote[125].end 462.25409375
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 462.74346875
transcript.pyannote[126].end 465.15659375
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 465.42659375
transcript.pyannote[127].end 466.37159375
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 468.09284375
transcript.pyannote[128].end 469.78034375
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 470.53971875
transcript.pyannote[129].end 472.15971875
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 472.69971875
transcript.pyannote[130].end 474.03284375
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 474.10034375
transcript.pyannote[131].end 474.13409375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 474.13409375
transcript.pyannote[132].end 474.52221875
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 474.38721875
transcript.pyannote[133].end 476.02409375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 476.02409375
transcript.pyannote[134].end 476.88471875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 477.23909375
transcript.pyannote[135].end 479.60159375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 480.15846875
transcript.pyannote[136].end 483.06096875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 483.31409375
transcript.pyannote[137].end 490.65471875
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 491.43096875
transcript.pyannote[138].end 493.55721875
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 493.94534375
transcript.pyannote[139].end 495.61596875
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 496.15596875
transcript.pyannote[140].end 497.72534375
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 498.34971875
transcript.pyannote[141].end 500.40846875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 500.40846875
transcript.pyannote[142].end 505.08284375
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 505.08284375
transcript.pyannote[143].end 510.06096875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 510.06096875
transcript.pyannote[144].end 512.37284375
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 510.87096875
transcript.pyannote[145].end 511.36034375
transcript.pyannote[146].speaker SPEAKER_04
transcript.pyannote[146].start 511.41096875
transcript.pyannote[146].end 511.44471875
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 511.49534375
transcript.pyannote[147].end 512.50784375
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 513.23346875
transcript.pyannote[148].end 514.00971875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 513.48659375
transcript.pyannote[149].end 514.75221875
transcript.pyannote[150].speaker SPEAKER_04
transcript.pyannote[150].start 514.97159375
transcript.pyannote[150].end 516.37221875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 515.64659375
transcript.pyannote[151].end 515.66346875
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 517.45221875
transcript.pyannote[152].end 519.20721875
transcript.pyannote[153].speaker SPEAKER_04
transcript.pyannote[153].start 519.39284375
transcript.pyannote[153].end 521.29971875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 521.55284375
transcript.pyannote[154].end 524.87721875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 525.29909375
transcript.pyannote[155].end 529.68659375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 529.92284375
transcript.pyannote[156].end 536.14971875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 536.47034375
transcript.pyannote[157].end 540.87471875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 541.09409375
transcript.pyannote[158].end 544.67159375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 544.78971875
transcript.pyannote[159].end 550.37534375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 550.42596875
transcript.pyannote[160].end 554.12159375
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 554.49284375
transcript.pyannote[161].end 556.28159375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 556.28159375
transcript.pyannote[162].end 556.63596875
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 556.63596875
transcript.pyannote[163].end 558.39096875
transcript.pyannote[164].speaker SPEAKER_04
transcript.pyannote[164].start 559.15034375
transcript.pyannote[164].end 559.99409375
transcript.pyannote[165].speaker SPEAKER_04
transcript.pyannote[165].start 560.65221875
transcript.pyannote[165].end 561.31034375
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 561.59721875
transcript.pyannote[166].end 563.30159375
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 564.02721875
transcript.pyannote[167].end 564.68534375
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 565.22534375
transcript.pyannote[168].end 567.60471875
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 568.39784375
transcript.pyannote[169].end 570.37221875
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 570.65909375
transcript.pyannote[170].end 572.00909375
transcript.pyannote[171].speaker SPEAKER_04
transcript.pyannote[171].start 572.32971875
transcript.pyannote[171].end 573.81471875
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 574.28721875
transcript.pyannote[172].end 574.91159375
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 575.55284375
transcript.pyannote[173].end 576.48096875
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 577.24034375
transcript.pyannote[174].end 578.84346875
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 579.06284375
transcript.pyannote[175].end 579.90659375
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 581.00346875
transcript.pyannote[176].end 581.57721875
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 581.59409375
transcript.pyannote[177].end 581.61096875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 581.66159375
transcript.pyannote[178].end 583.01159375
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 583.43346875
transcript.pyannote[179].end 585.01971875
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 585.55971875
transcript.pyannote[180].end 585.93096875
transcript.pyannote[181].speaker SPEAKER_04
transcript.pyannote[181].start 586.43721875
transcript.pyannote[181].end 588.12471875
transcript.pyannote[182].speaker SPEAKER_04
transcript.pyannote[182].start 588.64784375
transcript.pyannote[182].end 589.67721875
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 589.98096875
transcript.pyannote[183].end 591.22971875
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 591.93846875
transcript.pyannote[184].end 593.62596875
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 594.03096875
transcript.pyannote[185].end 595.46534375
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 595.92096875
transcript.pyannote[186].end 596.68034375
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 597.72659375
transcript.pyannote[187].end 599.24534375
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 599.86971875
transcript.pyannote[188].end 601.57409375
transcript.pyannote[189].speaker SPEAKER_04
transcript.pyannote[189].start 602.56971875
transcript.pyannote[189].end 603.12659375
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 603.85221875
transcript.pyannote[190].end 606.46784375
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 607.02471875
transcript.pyannote[191].end 607.56471875
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 608.17221875
transcript.pyannote[192].end 610.53471875
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 610.55159375
transcript.pyannote[193].end 612.67784375
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 612.96471875
transcript.pyannote[194].end 615.81659375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 616.05284375
transcript.pyannote[195].end 618.48284375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 618.68534375
transcript.pyannote[196].end 620.91284375
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 619.83284375
transcript.pyannote[197].end 620.96346875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 620.96346875
transcript.pyannote[198].end 621.03096875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 621.40221875
transcript.pyannote[199].end 621.52034375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 622.53284375
transcript.pyannote[200].end 628.16909375
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 628.64159375
transcript.pyannote[201].end 632.74221875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 633.14721875
transcript.pyannote[202].end 638.98596875
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 638.64846875
transcript.pyannote[203].end 639.03659375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 639.03659375
transcript.pyannote[204].end 639.05346875
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 639.05346875
transcript.pyannote[205].end 639.07034375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 639.07034375
transcript.pyannote[206].end 639.10409375
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 639.10409375
transcript.pyannote[207].end 639.12096875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 639.17159375
transcript.pyannote[208].end 641.02784375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 641.36534375
transcript.pyannote[209].end 643.59284375
transcript.pyannote[210].speaker SPEAKER_04
transcript.pyannote[210].start 643.74471875
transcript.pyannote[210].end 645.33096875
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 645.65159375
transcript.pyannote[211].end 647.27159375
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 648.11534375
transcript.pyannote[212].end 649.33034375
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 649.61721875
transcript.pyannote[213].end 650.84909375
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 651.16971875
transcript.pyannote[214].end 651.69284375
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 652.21596875
transcript.pyannote[215].end 654.05534375
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 654.83159375
transcript.pyannote[216].end 655.30409375
transcript.pyannote[217].speaker SPEAKER_04
transcript.pyannote[217].start 655.43909375
transcript.pyannote[217].end 657.32909375
transcript.pyannote[218].speaker SPEAKER_04
transcript.pyannote[218].start 658.03784375
transcript.pyannote[218].end 661.02471875
transcript.pyannote[219].speaker SPEAKER_04
transcript.pyannote[219].start 661.26096875
transcript.pyannote[219].end 662.62784375
transcript.pyannote[220].speaker SPEAKER_04
transcript.pyannote[220].start 664.04534375
transcript.pyannote[220].end 666.23909375
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 667.01534375
transcript.pyannote[221].end 668.56784375
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 668.78721875
transcript.pyannote[222].end 669.98534375
transcript.pyannote[223].speaker SPEAKER_04
transcript.pyannote[223].start 670.44096875
transcript.pyannote[223].end 672.68534375
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 674.67659375
transcript.pyannote[224].end 675.19971875
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 675.45284375
transcript.pyannote[225].end 675.99284375
transcript.pyannote[226].speaker SPEAKER_04
transcript.pyannote[226].start 677.03909375
transcript.pyannote[226].end 678.94596875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 681.49409375
transcript.pyannote[227].end 683.23221875
transcript.pyannote[228].speaker SPEAKER_04
transcript.pyannote[228].start 682.81034375
transcript.pyannote[228].end 685.49346875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 686.23596875
transcript.pyannote[229].end 688.51409375
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 689.32409375
transcript.pyannote[230].end 690.38721875
transcript.pyannote[231].speaker SPEAKER_04
transcript.pyannote[231].start 690.72471875
transcript.pyannote[231].end 692.14221875
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 694.40346875
transcript.pyannote[232].end 695.07846875
transcript.pyannote[233].speaker SPEAKER_04
transcript.pyannote[233].start 695.51721875
transcript.pyannote[233].end 696.02346875
transcript.pyannote[234].speaker SPEAKER_04
transcript.pyannote[234].start 697.32284375
transcript.pyannote[234].end 698.23409375
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 698.65596875
transcript.pyannote[235].end 704.46096875
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 704.46096875
transcript.pyannote[236].end 720.03659375
transcript.pyannote[237].speaker SPEAKER_04
transcript.pyannote[237].start 708.59534375
transcript.pyannote[237].end 708.69659375
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 712.89846875
transcript.pyannote[238].end 712.94909375
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 712.94909375
transcript.pyannote[239].end 712.98284375
transcript.pyannote[240].speaker SPEAKER_04
transcript.pyannote[240].start 712.98284375
transcript.pyannote[240].end 713.01659375
transcript.pyannote[241].speaker SPEAKER_04
transcript.pyannote[241].start 719.98596875
transcript.pyannote[241].end 722.28096875
transcript.pyannote[242].speaker SPEAKER_04
transcript.pyannote[242].start 722.70284375
transcript.pyannote[242].end 723.85034375
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 724.76159375
transcript.pyannote[243].end 727.95096875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 728.44034375
transcript.pyannote[244].end 732.91221875
transcript.pyannote[245].speaker SPEAKER_04
transcript.pyannote[245].start 733.97534375
transcript.pyannote[245].end 735.69659375
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 735.78096875
transcript.pyannote[246].end 741.48471875
transcript.pyannote[247].speaker SPEAKER_04
transcript.pyannote[247].start 736.45596875
transcript.pyannote[247].end 737.29971875
transcript.pyannote[248].speaker SPEAKER_04
transcript.pyannote[248].start 741.88971875
transcript.pyannote[248].end 743.64471875
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 743.56034375
transcript.pyannote[249].end 746.86784375
transcript.pyannote[250].speaker SPEAKER_04
transcript.pyannote[250].start 746.56409375
transcript.pyannote[250].end 748.21784375
transcript.pyannote[251].speaker SPEAKER_04
transcript.pyannote[251].start 748.72409375
transcript.pyannote[251].end 750.14159375
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 750.73221875
transcript.pyannote[252].end 756.19971875
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 756.19971875
transcript.pyannote[253].end 761.04284375
transcript.pyannote[254].speaker SPEAKER_04
transcript.pyannote[254].start 760.70534375
transcript.pyannote[254].end 763.00034375
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 761.73471875
transcript.pyannote[255].end 762.07221875
transcript.pyannote[256].speaker SPEAKER_04
transcript.pyannote[256].start 763.52346875
transcript.pyannote[256].end 768.07971875
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 768.60284375
transcript.pyannote[257].end 769.91909375
transcript.pyannote[258].speaker SPEAKER_04
transcript.pyannote[258].start 770.17221875
transcript.pyannote[258].end 773.09159375
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 773.42909375
transcript.pyannote[259].end 774.13784375
transcript.pyannote[260].speaker SPEAKER_04
transcript.pyannote[260].start 774.55971875
transcript.pyannote[260].end 777.83346875
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 777.83346875
transcript.pyannote[261].end 782.15346875
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 782.42346875
transcript.pyannote[262].end 788.11034375
transcript.pyannote[263].speaker SPEAKER_04
transcript.pyannote[263].start 788.32971875
transcript.pyannote[263].end 791.73846875
transcript.pyannote[264].speaker SPEAKER_04
transcript.pyannote[264].start 792.00846875
transcript.pyannote[264].end 793.03784375
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 793.03784375
transcript.pyannote[265].end 793.62846875
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 794.10096875
transcript.pyannote[266].end 794.97846875
transcript.pyannote[267].speaker SPEAKER_00
transcript.pyannote[267].start 794.86034375
transcript.pyannote[267].end 794.87721875
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 794.97846875
transcript.pyannote[268].end 795.36659375
transcript.pyannote[269].speaker SPEAKER_04
transcript.pyannote[269].start 795.67034375
transcript.pyannote[269].end 796.61534375
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 796.61534375
transcript.pyannote[270].end 797.49284375
transcript.whisperx[0].start 0.029
transcript.whisperx[0].end 1.87
transcript.whisperx[0].text 主席各位,初列席官員大家好主席可不可以請彭主委,請OTC簡董事長、央行的兩位局長
transcript.whisperx[1].start 27.009
transcript.whisperx[1].end 45.422
transcript.whisperx[1].text 兩位局長 謝局長跟蔡局長好 委員長那個彭主委 你有沒有去過杜拜沒有沒有喔對杜拜啊 它在這幾年把虛擬資產以及很多的財富管理
transcript.whisperx[2].start 48.366
transcript.whisperx[2].end 63.613
transcript.whisperx[2].text 統統加大幅度讓杜拜平地起高樓成一個新的交易中心它的雄心壯志值不值得台灣的學習
transcript.whisperx[3].start 65.202
transcript.whisperx[3].end 90.806
transcript.whisperx[3].text 其實杜拜從他過去開始有少量的石油他知道他未來的發展會受到局限開始全力發展境外的各種中心我覺得他們的本質上他有他非常非常令人刮目相看的成績那我想這個虛擬資產只是其中之一而已香港的金融中心地位現在逐年的下降
transcript.whisperx[4].start 92.438
transcript.whisperx[4].end 109.03
transcript.whisperx[4].text 你會不會想把台灣打造成一個全世界華人的財富管理中心讓台灣成為全世界虛擬資產的交易中心
transcript.whisperx[5].start 111.174
transcript.whisperx[5].end 135.111
transcript.whisperx[5].text 跟委員說明就是說我想我們在很多場合我們希望台灣成為在亞洲的資產管理中心之一這樣的一個計畫我們持續在推動這裡面包括很多比如說我們所謂的資產管理假設未來虛擬資產也是成為一個合規的資產項目的話那自然會隨著這個趨勢然後也納入到我們的整個的
transcript.whisperx[6].start 135.791
transcript.whisperx[6].end 160.936
transcript.whisperx[6].text 未來發展規劃項目所以你的意思是說現在虛擬資產的交易不合規囉現在我們講說就跟全世界一樣就是說這個資產某種程度我剛才在報告裡提到各國都朝向專法讓它合規化來監管的這個模式來前進台灣也是這樣那這樣當然更有助於我們在政策上推動的一個基礎啦
transcript.whisperx[7].start 163.444
transcript.whisperx[7].end 181.735
transcript.whisperx[7].text 那請央行那幾個數據也請諸位了解一下我們的外匯存底現在大概六千多億的美金全世界有哪幾個國家外匯存底裡面是有這個虛擬資產當作他的儲備的
transcript.whisperx[8].start 185.803
transcript.whisperx[8].end 208.538
transcript.whisperx[8].text 是 各位有報告 我想大部分的主要國家應該都還沒有把這個比特幣等這些資產放入他的外匯存底因為這個可能在他的準備裡面會有但是外匯存底的定義裡面可能比較不容易美國的國庫署啊他們國家資產裡面有沒有虛擬貨幣
transcript.whisperx[9].start 210.087
transcript.whisperx[9].end 228.982
transcript.whisperx[9].text 有 他們應該是之前沒收得到的但是這個也不會是放在外匯存體裡面是好 那請問美國有沒有相關虛擬貨幣的交易已經正式展開您是指央行跟外面的還是虛擬貨幣啊 在股市買賣來 請簡董事長好了
transcript.whisperx[10].start 236.766
transcript.whisperx[10].end 262.752
transcript.whisperx[10].text 美國是去年還是前年有發了幾檔虛擬貨幣的ETF?據我所知,虛擬貨幣的ETF在美國、加拿大或其他有些國家是有在掛牌新加坡掛了沒?我沒有確定,不過我想應該要查一下才能確認
transcript.whisperx[11].start 264.589
transcript.whisperx[11].end 283.82
transcript.whisperx[11].text 請問台灣的第一檔有關虛擬貨幣的資產第一個上市,上櫃買中心大概是什麼時候我們櫃買中心還沒有虛擬資產的ETF掛牌有沒有相關的個股是有關虛擬貨幣的
transcript.whisperx[12].start 288.583
transcript.whisperx[12].end 315.527
transcript.whisperx[12].text 報告委員我們目前沒有這樣子的掛牌公司目前沒有嗎那你希望台灣第一個看得到是什麼時候向委員報告我想這個我們在虛擬資產的服務法相關的法規制度這些交易都必須要健全然後我們才可能再去衍生這個ETF相關的產品來掛牌我想這個應該是有順序的先後
transcript.whisperx[13].start 316.479
transcript.whisperx[13].end 337.357
transcript.whisperx[13].text 好 那央行麻煩一下你會不會擔心以台幣計價的穩定幣及相關的合規的虛擬資產成為大多數人生活中的一小部分的時候央行的地位會受到影響
transcript.whisperx[14].start 339.5
transcript.whisperx[14].end 353.822
transcript.whisperx[14].text 我想我們之前有分析過啦穩定幣目前來看的話它也是一種資產的一個配置它不會就對我們的金融體系來講並不會有目前來觀察是不會有太大的一個影響所以你不會怕它
transcript.whisperx[15].start 354.921
transcript.whisperx[15].end 376.084
transcript.whisperx[15].text 就我們的銀行體系然後跟民眾持有這個穩定幣的部分那假設我們有在目前的法規的規範之下我認為這個不會是一個會變成對我們的金融體系造成一個威脅所以不怕他會不會面對他會不會面對他接受他照顧他愛護他
transcript.whisperx[16].start 379.488
transcript.whisperx[16].end 406.277
transcript.whisperx[16].text 我想穩定幣的部分就央行的觀點就銀行的觀點我想這個部分應該跟這個是不太一樣我們央行的觀點一直都是著重在穩定幣是否視為貨幣它跟M2之間的一個替代的一個問題那我們之前都有分析過事實上這個在整個金融體系裡面在整個銀行體系裡面對貨幣的定義裡面影響並不是很大那這是我們央行所關注的部分那至於穩定幣
transcript.whisperx[17].start 407.757
transcript.whisperx[17].end 421.912
transcript.whisperx[17].text 會不會如何健全發展關注他我想這個不是我們央行的職權我們央行關注的是他對M2的一個影響那現在央行發行的數字貨幣什麼時候開始正式上市
transcript.whisperx[18].start 425.044
transcript.whisperx[18].end 444.709
transcript.whisperx[18].text 我們現在國內電子資助體系也相當的多元便利所以發行綠帖的CPTC這部分我們沒有急迫性但是我們現在有把CPTC的雛形平台轉換成數位金流平台然後支援政府發各種的數位券或數位幣
transcript.whisperx[19].start 445.589
transcript.whisperx[19].end 464.565
transcript.whisperx[19].text 那目前是有支援客家委員會的客家幣那未來我們現在還要跟運動部的運動幣還有那個衛福部的健康幣在洽談合作之中 謝謝好 謝謝 那請那個彭主委台灣究竟是一個對虛擬資產 虛擬貨幣是比較正面支持的態度呢
transcript.whisperx[20].start 470.563
transcript.whisperx[20].end 496.665
transcript.whisperx[20].text 或者根本你就是反對他們進來反對這個產業的發展當然不是跟我們說明其實我們這個產業已經在了我們從比如說從過去這麼多年來從剛才講的比如說他用聲明登記到現在其實我們現在市場已經有8家業者在運作對現在在的情況是大家可能不清楚本來有26家
transcript.whisperx[21].start 498.393
transcript.whisperx[21].end 510.826
transcript.whisperx[21].text 倒到現在像你剛剛講的幾家應該講說我們篩選這些適合在台灣發展的對嘛 你就用篩選我是用民間懂的話叫做到倒啊那為什麼會不見為什麼會變少
transcript.whisperx[22].start 517.475
transcript.whisperx[22].end 535.995
transcript.whisperx[22].text 就是變成你對這個產業裡面有積極的輔導嗎?其實我們輔導也要看對象就像比如過去很多過去在聲名制人因為當時的是因為反洗錢的這樣的規範所以很多發生了非常多的弊端我想社會都看到了
transcript.whisperx[23].start 536.556
transcript.whisperx[23].end 557.503
transcript.whisperx[23].text 透過我們的管制讓這個市場逐步的邁入秩序而且穩健這是政府該做的事並不是說我們去把誰給弄到無法經營我想就是因為我們希望留下的業者都能夠確實的遵守而且持續的讓市場更為健全這是一個挑戰當然可是也是一個機會
transcript.whisperx[24].start 559.178
transcript.whisperx[24].end 577.554
transcript.whisperx[24].text 你有沒有算過我們的這些上市公司很多它因為新台幣的上上下下對這個企業來講它有時候成本以及風險非常大非常大如果有一個新台幣計價
transcript.whisperx[25].start 581.058
transcript.whisperx[25].end 600.708
transcript.whisperx[25].text 做發行依靠的新台幣的穩定幣每個人在接單的時候在國際上都可以確認他的支出他的成本他是可以算得出來的這個單一千億要接不接我們馬上就可以鎖住
transcript.whisperx[26].start 602.805
transcript.whisperx[26].end 627.633
transcript.whisperx[26].text 現在每一次都還經過銀行的換匯你知道包括保險公司相關的這些匯損一年大概損失有多少不一定都匯損有時候會有因為利率在波動中交易的費用沒有它本質上就是一個波動帳面上本來就有波動不見得都是損失
transcript.whisperx[27].start 629.283
transcript.whisperx[27].end 657.083
transcript.whisperx[27].text 保險公司出去你每次都要有一些賄損準備啊那是外交準備金我們現在有訂了非常非常明確的規定那這部分那只是因應他的波動這個外交準備金是其中之一啊一年大概七八十億十年就七八百億還有很多的企業都不回來啊因為他放香港低稅戶還有他的操作也比較快
transcript.whisperx[28].start 658.089
transcript.whisperx[28].end 678.661
transcript.whisperx[28].text 你如果有一個新台幣計價的穩定幣會出現什麼情況如果禮拜五就可以決定了啊禮拜六禮拜天銀行不上班很多事情他都可以交割嘛而且台灣現在一年放假放幾天
transcript.whisperx[29].start 681.753
transcript.whisperx[29].end 692.409
transcript.whisperx[29].text 這個我沒有統計一百一十五一百一十六天所以企業存在很多的不確定性有個穩定幣馬上就可以決定啊所以請 諸位
transcript.whisperx[30].start 697.369
transcript.whisperx[30].end 723.451
transcript.whisperx[30].text 你現在倒是保持一個開放的態度還是非常保守又穩健的態度如果我們真的是非常保守就不會提這個專法也不會跟社會溝通這麼久的時間廣納各方的意見我想今天這個這個答詢就是因為在這樣一個開放的架構之下才有的這樣的這場的答詢那主任你歡迎不歡迎國外的
transcript.whisperx[31].start 725.799
transcript.whisperx[31].end 740.256
transcript.whisperx[31].text 這個虛擬貨幣交易所他們來台灣投資我們現在我們的法規是中性的我們對國內外都一視同仁中性是我們中國人都是我們監理就是謹慎或審慎友好的態度面對虛擬資產服務業
transcript.whisperx[32].start 742.146
transcript.whisperx[32].end 759.496
transcript.whisperx[32].text 外商可以來台灣投資當然法規已經很明確的未來的版本裡面都寫了你另外一個最近油價狂飆現在一桶石油世界的一桶價格是多少現在不同的報價有從90幾到110塊之間115 漲很多我們周邊的銀行也都去年都賺很多
transcript.whisperx[33].start 768.661
transcript.whisperx[33].end 796.249
transcript.whisperx[33].text 那會不會趁機ATM手續費會調高啊或對民眾的一些費用會調高這當然不會啦我想這些東西它是一高度監管行業它也有肩負社會回饋的責任我想這部分不會有委員說會把我們那個費用把它調高的問題所以金融周邊產品不會趁機趁火打劫當然不會不會調高啦當然不會OK 好 謝謝謝謝 謝謝委員