iVOD / 170320

Field Value
IVOD_ID 170320
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/170320
日期 2026-07-08
會議資料.會議代碼 委員會-11-5-20-21
會議資料.會議代碼:str 第11屆第5會期財政委員會第21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 21
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21次全體委員會議
影片種類 Clip
開始時間 2026-07-08T09:35:23+08:00
結束時間 2026-07-08T09:49:11+08:00
影片長度 00:13:48
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4fafa81be08c82102b2778a0a55bc15a203c8b184455ea8195bb850ba73424316367c9c5a82321895ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 09:35:23 - 09:49:11
會議時間 2026-07-08T09:00:00+08:00
會議名稱 立法院第11屆第5會期財政委員會第21次全體委員會議(事由:一、審查中華民國115年度中央政府總預算案附屬單位預算營業部分,有關財政部主管臺灣土地銀行股份有限公司、財政部印刷廠、臺灣菸酒股份有限公司。(僅詢答) 二、審查中華民國115年度中央政府總預算案附屬單位預算營業部分,有關金融監督管理委員會主管中央存款保險股份有限公司。(僅詢答) 三、審查中華民國115年度中央政府總預算案附屬單位預算非營業部分,有關金融監督管理委員會主管:(僅詢答) (一)特別收入基金-金融監督管理基金。 (二)信託基金-保險業務發展基金。 【7月8日及9日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 6.39284375
transcript.pyannote[0].end 7.91159375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 8.18159375
transcript.pyannote[1].end 9.17721875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 9.83534375
transcript.pyannote[2].end 9.97034375
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 9.97034375
transcript.pyannote[3].end 12.16409375
transcript.pyannote[4].speaker SPEAKER_04
transcript.pyannote[4].start 12.78846875
transcript.pyannote[4].end 13.75034375
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 15.94409375
transcript.pyannote[5].end 17.78346875
transcript.pyannote[6].speaker SPEAKER_04
transcript.pyannote[6].start 19.36971875
transcript.pyannote[6].end 20.23034375
transcript.pyannote[7].speaker SPEAKER_04
transcript.pyannote[7].start 21.41159375
transcript.pyannote[7].end 22.49159375
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 23.01471875
transcript.pyannote[8].end 24.12846875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 25.74846875
transcript.pyannote[9].end 26.18721875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 27.21659375
transcript.pyannote[10].end 29.03909375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 29.22471875
transcript.pyannote[11].end 32.14409375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 32.73471875
transcript.pyannote[12].end 33.29159375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 33.66284375
transcript.pyannote[13].end 37.37534375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 38.21909375
transcript.pyannote[14].end 38.60721875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 38.60721875
transcript.pyannote[15].end 38.65784375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 38.65784375
transcript.pyannote[16].end 38.69159375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 38.69159375
transcript.pyannote[17].end 38.97846875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 38.97846875
transcript.pyannote[18].end 39.02909375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 39.02909375
transcript.pyannote[19].end 39.99096875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 39.04596875
transcript.pyannote[20].end 40.68284375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 40.68284375
transcript.pyannote[21].end 52.69784375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 52.69784375
transcript.pyannote[22].end 74.12909375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 62.95784375
transcript.pyannote[23].end 64.18971875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 74.97284375
transcript.pyannote[24].end 75.02346875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 75.02346875
transcript.pyannote[25].end 75.63096875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 75.63096875
transcript.pyannote[26].end 75.90096875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 75.90096875
transcript.pyannote[27].end 82.66784375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 75.91784375
transcript.pyannote[28].end 76.71096875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 82.11096875
transcript.pyannote[29].end 83.66346875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 83.76471875
transcript.pyannote[30].end 90.04221875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 88.74284375
transcript.pyannote[31].end 90.59909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 90.59909375
transcript.pyannote[32].end 90.97034375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 90.97034375
transcript.pyannote[33].end 92.35409375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 93.01221875
transcript.pyannote[34].end 94.44659375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 95.18909375
transcript.pyannote[35].end 96.25221875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 96.62346875
transcript.pyannote[36].end 99.62721875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 100.08284375
transcript.pyannote[37].end 103.12034375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 103.27221875
transcript.pyannote[38].end 106.34346875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 105.82034375
transcript.pyannote[39].end 106.25909375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 106.34346875
transcript.pyannote[40].end 106.52909375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 106.52909375
transcript.pyannote[41].end 122.69534375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 110.44409375
transcript.pyannote[42].end 110.98409375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 121.63221875
transcript.pyannote[43].end 123.13409375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 123.72471875
transcript.pyannote[44].end 129.37784375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 123.92721875
transcript.pyannote[45].end 123.99471875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 124.06221875
transcript.pyannote[46].end 124.24784375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 129.37784375
transcript.pyannote[47].end 129.39471875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 129.64784375
transcript.pyannote[48].end 143.51909375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 130.13721875
transcript.pyannote[49].end 130.79534375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 133.83284375
transcript.pyannote[50].end 134.30534375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 143.65409375
transcript.pyannote[51].end 144.07596875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 144.34596875
transcript.pyannote[52].end 152.39534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 151.97346875
transcript.pyannote[53].end 152.12534375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 152.53034375
transcript.pyannote[54].end 155.75346875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 155.78721875
transcript.pyannote[55].end 156.12471875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 156.34409375
transcript.pyannote[56].end 158.38596875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 159.02721875
transcript.pyannote[57].end 166.73909375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 164.59596875
transcript.pyannote[58].end 166.24971875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 166.73909375
transcript.pyannote[59].end 170.56971875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 166.80659375
transcript.pyannote[60].end 167.19471875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 170.31659375
transcript.pyannote[61].end 171.61596875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 171.61596875
transcript.pyannote[62].end 177.92721875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 171.75096875
transcript.pyannote[63].end 171.97034375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 176.50971875
transcript.pyannote[64].end 178.53471875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 178.85534375
transcript.pyannote[65].end 181.28534375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 181.42034375
transcript.pyannote[66].end 182.83784375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 183.61409375
transcript.pyannote[67].end 185.92596875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 186.43221875
transcript.pyannote[68].end 188.91284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 188.91284375
transcript.pyannote[69].end 191.68034375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 192.87846875
transcript.pyannote[70].end 194.11034375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 194.32971875
transcript.pyannote[71].end 195.74721875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 196.06784375
transcript.pyannote[72].end 197.33346875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 198.07596875
transcript.pyannote[73].end 198.61596875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 198.86909375
transcript.pyannote[74].end 201.92346875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 202.51409375
transcript.pyannote[75].end 207.54284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 208.57221875
transcript.pyannote[76].end 210.49596875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 210.56346875
transcript.pyannote[77].end 210.83346875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 211.17096875
transcript.pyannote[78].end 211.66034375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 212.28471875
transcript.pyannote[79].end 213.01034375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 213.49971875
transcript.pyannote[80].end 215.65971875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 214.19159375
transcript.pyannote[81].end 214.42784375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 216.03096875
transcript.pyannote[82].end 216.46971875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 216.92534375
transcript.pyannote[83].end 219.18659375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 219.55784375
transcript.pyannote[84].end 227.20221875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 228.19784375
transcript.pyannote[85].end 230.23971875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 230.61096875
transcript.pyannote[86].end 233.49659375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 233.61471875
transcript.pyannote[87].end 233.63159375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 233.64846875
transcript.pyannote[88].end 235.21784375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 235.63971875
transcript.pyannote[89].end 237.83346875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 237.83346875
transcript.pyannote[90].end 238.96409375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 238.96409375
transcript.pyannote[91].end 243.50346875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 239.20034375
transcript.pyannote[92].end 240.44909375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 243.75659375
transcript.pyannote[93].end 250.69221875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 251.08034375
transcript.pyannote[94].end 252.58221875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 253.51034375
transcript.pyannote[95].end 256.02471875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 256.02471875
transcript.pyannote[96].end 259.02846875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 259.61909375
transcript.pyannote[97].end 272.96721875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 272.96721875
transcript.pyannote[98].end 278.14784375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 279.41346875
transcript.pyannote[99].end 280.40909375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 279.44721875
transcript.pyannote[100].end 281.64096875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 280.99971875
transcript.pyannote[101].end 281.13471875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 281.33721875
transcript.pyannote[102].end 286.92284375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 288.54284375
transcript.pyannote[103].end 291.07409375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 291.96846875
transcript.pyannote[104].end 295.02284375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 295.02284375
transcript.pyannote[105].end 295.39409375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 295.39409375
transcript.pyannote[106].end 295.96784375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 295.91721875
transcript.pyannote[107].end 296.08596875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 295.96784375
transcript.pyannote[108].end 295.98471875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 296.08596875
transcript.pyannote[109].end 296.11971875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 296.10284375
transcript.pyannote[110].end 296.13659375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 296.13659375
transcript.pyannote[111].end 296.28846875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 298.34721875
transcript.pyannote[112].end 298.43159375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 298.43159375
transcript.pyannote[113].end 298.44846875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 299.59596875
transcript.pyannote[114].end 316.48784375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 314.15909375
transcript.pyannote[115].end 315.23909375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 315.23909375
transcript.pyannote[116].end 315.99846875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 315.99846875
transcript.pyannote[117].end 316.01534375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 317.12909375
transcript.pyannote[118].end 319.99784375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 320.53784375
transcript.pyannote[119].end 322.39409375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 322.66409375
transcript.pyannote[120].end 324.92534375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 325.44846875
transcript.pyannote[121].end 325.73534375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 326.42721875
transcript.pyannote[122].end 327.81096875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 328.60409375
transcript.pyannote[123].end 330.13971875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 330.46034375
transcript.pyannote[124].end 331.75971875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 332.41784375
transcript.pyannote[125].end 333.10971875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 333.59909375
transcript.pyannote[126].end 339.37034375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 340.09596875
transcript.pyannote[127].end 345.02346875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 345.02346875
transcript.pyannote[128].end 345.58034375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 345.58034375
transcript.pyannote[129].end 345.81659375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 345.81659375
transcript.pyannote[130].end 347.41971875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 347.79096875
transcript.pyannote[131].end 361.03784375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 361.15596875
transcript.pyannote[132].end 363.40034375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 362.53971875
transcript.pyannote[133].end 364.63221875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 365.20596875
transcript.pyannote[134].end 378.23346875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 371.70284375
transcript.pyannote[135].end 377.01846875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 377.77784375
transcript.pyannote[136].end 387.43034375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 386.55284375
transcript.pyannote[137].end 388.89846875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 387.70034375
transcript.pyannote[138].end 421.53471875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 396.64409375
transcript.pyannote[139].end 397.35284375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 401.30159375
transcript.pyannote[140].end 401.35221875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 401.35221875
transcript.pyannote[141].end 401.38596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 401.38596875
transcript.pyannote[142].end 401.40284375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 401.40284375
transcript.pyannote[143].end 401.45346875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 401.45346875
transcript.pyannote[144].end 402.06096875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 404.18721875
transcript.pyannote[145].end 410.88659375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 411.88221875
transcript.pyannote[146].end 412.01721875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 413.83971875
transcript.pyannote[147].end 416.10096875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 419.84721875
transcript.pyannote[148].end 421.39971875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 421.61909375
transcript.pyannote[149].end 441.09284375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 440.38409375
transcript.pyannote[150].end 441.10971875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 441.10971875
transcript.pyannote[151].end 441.97034375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 441.97034375
transcript.pyannote[152].end 448.95659375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 449.49659375
transcript.pyannote[153].end 460.34721875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 454.89659375
transcript.pyannote[154].end 454.94721875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 455.01471875
transcript.pyannote[155].end 473.62784375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 461.03909375
transcript.pyannote[156].end 462.57471875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 462.57471875
transcript.pyannote[157].end 462.60846875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 462.60846875
transcript.pyannote[158].end 475.72034375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 475.68659375
transcript.pyannote[159].end 476.58096875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 476.49659375
transcript.pyannote[160].end 480.76596875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 480.96846875
transcript.pyannote[161].end 484.32659375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 484.36034375
transcript.pyannote[162].end 484.73159375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 484.91721875
transcript.pyannote[163].end 486.40221875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 487.26284375
transcript.pyannote[164].end 490.36784375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 490.99221875
transcript.pyannote[165].end 494.43471875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 495.04221875
transcript.pyannote[166].end 497.89409375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 498.68721875
transcript.pyannote[167].end 502.04534375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 502.72034375
transcript.pyannote[168].end 505.87596875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 506.26409375
transcript.pyannote[169].end 506.66909375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 506.88846875
transcript.pyannote[170].end 508.96409375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 509.52096875
transcript.pyannote[171].end 511.09034375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 511.56284375
transcript.pyannote[172].end 513.62159375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 514.14471875
transcript.pyannote[173].end 516.87846875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 517.26659375
transcript.pyannote[174].end 517.48596875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 517.84034375
transcript.pyannote[175].end 520.10159375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 520.20284375
transcript.pyannote[176].end 521.58659375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 522.22784375
transcript.pyannote[177].end 523.64534375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 524.52284375
transcript.pyannote[178].end 525.92346875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 526.26096875
transcript.pyannote[179].end 526.88534375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 527.56034375
transcript.pyannote[180].end 528.01596875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 528.47159375
transcript.pyannote[181].end 528.99471875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 529.51784375
transcript.pyannote[182].end 530.68221875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 531.05346875
transcript.pyannote[183].end 533.02784375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 533.56784375
transcript.pyannote[184].end 533.93909375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 534.04034375
transcript.pyannote[185].end 534.73221875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 534.81659375
transcript.pyannote[186].end 536.55471875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 536.99346875
transcript.pyannote[187].end 537.39846875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 537.39846875
transcript.pyannote[188].end 539.25471875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 537.43221875
transcript.pyannote[189].end 538.27596875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 538.88346875
transcript.pyannote[190].end 539.20409375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 539.72721875
transcript.pyannote[191].end 558.59346875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 559.50471875
transcript.pyannote[192].end 563.67284375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 563.92596875
transcript.pyannote[193].end 572.12721875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 572.53221875
transcript.pyannote[194].end 573.05534375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 573.35909375
transcript.pyannote[195].end 574.03409375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 573.51096875
transcript.pyannote[196].end 575.04659375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 575.11409375
transcript.pyannote[197].end 578.38784375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 578.38784375
transcript.pyannote[198].end 578.48909375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 578.70846875
transcript.pyannote[199].end 579.82221875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 579.82221875
transcript.pyannote[200].end 580.53096875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 580.53096875
transcript.pyannote[201].end 580.80096875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 580.63221875
transcript.pyannote[202].end 583.23096875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 581.62784375
transcript.pyannote[203].end 583.60221875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 583.46721875
transcript.pyannote[204].end 583.80471875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 584.32784375
transcript.pyannote[205].end 590.28471875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 586.89284375
transcript.pyannote[206].end 587.66909375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 588.68159375
transcript.pyannote[207].end 588.96846875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 590.53784375
transcript.pyannote[208].end 602.78909375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 593.96346875
transcript.pyannote[209].end 595.73534375
transcript.pyannote[210].speaker SPEAKER_05
transcript.pyannote[210].start 596.64659375
transcript.pyannote[210].end 596.68034375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 596.68034375
transcript.pyannote[211].end 596.96721875
transcript.pyannote[212].speaker SPEAKER_05
transcript.pyannote[212].start 596.96721875
transcript.pyannote[212].end 597.72659375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 597.72659375
transcript.pyannote[213].end 597.74346875
transcript.pyannote[214].speaker SPEAKER_05
transcript.pyannote[214].start 600.07221875
transcript.pyannote[214].end 601.16909375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 601.16909375
transcript.pyannote[215].end 601.21971875
transcript.pyannote[216].speaker SPEAKER_05
transcript.pyannote[216].start 601.21971875
transcript.pyannote[216].end 601.33784375
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 601.33784375
transcript.pyannote[217].end 601.37159375
transcript.pyannote[218].speaker SPEAKER_05
transcript.pyannote[218].start 601.37159375
transcript.pyannote[218].end 601.86096875
transcript.pyannote[219].speaker SPEAKER_05
transcript.pyannote[219].start 602.55284375
transcript.pyannote[219].end 617.77409375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 618.24659375
transcript.pyannote[220].end 618.70221875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 618.85409375
transcript.pyannote[221].end 626.71784375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 626.71784375
transcript.pyannote[222].end 638.88471875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 626.76846875
transcript.pyannote[223].end 627.29159375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 634.98659375
transcript.pyannote[224].end 636.30284375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 637.99034375
transcript.pyannote[225].end 638.71596875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 638.88471875
transcript.pyannote[226].end 639.03659375
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 639.03659375
transcript.pyannote[227].end 639.08721875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 639.08721875
transcript.pyannote[228].end 639.17159375
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 639.17159375
transcript.pyannote[229].end 639.18846875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 639.49221875
transcript.pyannote[230].end 644.85846875
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 643.42409375
transcript.pyannote[231].end 643.74471875
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 645.21284375
transcript.pyannote[232].end 646.57971875
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 646.10721875
transcript.pyannote[233].end 646.61346875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 646.61346875
transcript.pyannote[234].end 646.96784375
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 646.96784375
transcript.pyannote[235].end 647.50784375
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 647.50784375
transcript.pyannote[236].end 647.55846875
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 647.55846875
transcript.pyannote[237].end 647.57534375
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 647.57534375
transcript.pyannote[238].end 647.96346875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 647.96346875
transcript.pyannote[239].end 649.49909375
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 649.92096875
transcript.pyannote[240].end 652.13159375
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 652.46909375
transcript.pyannote[241].end 653.11034375
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 653.49846875
transcript.pyannote[242].end 654.27471875
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 655.11846875
transcript.pyannote[243].end 656.11409375
transcript.pyannote[244].speaker SPEAKER_04
transcript.pyannote[244].start 658.05471875
transcript.pyannote[244].end 658.76346875
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 660.56909375
transcript.pyannote[245].end 662.25659375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 662.56034375
transcript.pyannote[246].end 663.94409375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 663.96096875
transcript.pyannote[247].end 664.11284375
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 664.50096875
transcript.pyannote[248].end 665.63159375
transcript.pyannote[249].speaker SPEAKER_06
transcript.pyannote[249].start 664.83846875
transcript.pyannote[249].end 664.93971875
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 664.93971875
transcript.pyannote[250].end 665.00721875
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 665.88471875
transcript.pyannote[251].end 667.38659375
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 667.82534375
transcript.pyannote[252].end 668.16284375
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 668.50034375
transcript.pyannote[253].end 670.35659375
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 670.66034375
transcript.pyannote[254].end 676.56659375
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 674.92971875
transcript.pyannote[255].end 678.03471875
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 678.84471875
transcript.pyannote[256].end 682.40534375
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 682.33784375
transcript.pyannote[257].end 686.79284375
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 687.31596875
transcript.pyannote[258].end 691.99034375
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 692.73284375
transcript.pyannote[259].end 694.79159375
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 696.02346875
transcript.pyannote[260].end 698.70659375
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 699.53346875
transcript.pyannote[261].end 700.19159375
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 701.18721875
transcript.pyannote[262].end 706.95846875
transcript.pyannote[263].speaker SPEAKER_03
transcript.pyannote[263].start 707.14409375
transcript.pyannote[263].end 708.17346875
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 708.52784375
transcript.pyannote[264].end 708.96659375
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 708.96659375
transcript.pyannote[265].end 709.69221875
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 710.26596875
transcript.pyannote[266].end 712.57784375
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 713.62409375
transcript.pyannote[267].end 714.46784375
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 714.46784375
transcript.pyannote[268].end 715.64909375
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 716.20596875
transcript.pyannote[269].end 716.30721875
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 716.52659375
transcript.pyannote[270].end 719.02409375
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 719.68221875
transcript.pyannote[271].end 720.72846875
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 721.21784375
transcript.pyannote[272].end 735.56159375
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 733.18221875
transcript.pyannote[273].end 736.48971875
transcript.pyannote[274].speaker SPEAKER_03
transcript.pyannote[274].start 735.91596875
transcript.pyannote[274].end 735.96659375
transcript.pyannote[275].speaker SPEAKER_03
transcript.pyannote[275].start 736.01721875
transcript.pyannote[275].end 736.30409375
transcript.pyannote[276].speaker SPEAKER_03
transcript.pyannote[276].start 736.48971875
transcript.pyannote[276].end 736.67534375
transcript.pyannote[277].speaker SPEAKER_03
transcript.pyannote[277].start 737.02971875
transcript.pyannote[277].end 738.17721875
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 738.17721875
transcript.pyannote[278].end 739.32471875
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 739.69596875
transcript.pyannote[279].end 740.59034375
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 739.98284375
transcript.pyannote[280].end 740.45534375
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 740.72534375
transcript.pyannote[281].end 744.11721875
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 744.77534375
transcript.pyannote[282].end 746.59784375
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 747.74534375
transcript.pyannote[283].end 753.11159375
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 753.29721875
transcript.pyannote[284].end 755.23784375
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 756.28409375
transcript.pyannote[285].end 759.33846875
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 759.55784375
transcript.pyannote[286].end 760.67159375
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 761.76846875
transcript.pyannote[287].end 770.00346875
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 770.50971875
transcript.pyannote[288].end 775.74096875
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 776.07846875
transcript.pyannote[289].end 776.85471875
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 777.34409375
transcript.pyannote[290].end 778.94721875
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 779.74034375
transcript.pyannote[291].end 782.18721875
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 782.98034375
transcript.pyannote[292].end 783.60471875
transcript.pyannote[293].speaker SPEAKER_06
transcript.pyannote[293].start 785.32596875
transcript.pyannote[293].end 796.86846875
transcript.pyannote[294].speaker SPEAKER_02
transcript.pyannote[294].start 789.17346875
transcript.pyannote[294].end 790.96221875
transcript.pyannote[295].speaker SPEAKER_06
transcript.pyannote[295].start 796.95284375
transcript.pyannote[295].end 796.96971875
transcript.pyannote[296].speaker SPEAKER_06
transcript.pyannote[296].start 797.08784375
transcript.pyannote[296].end 797.10471875
transcript.pyannote[297].speaker SPEAKER_02
transcript.pyannote[297].start 797.81346875
transcript.pyannote[297].end 800.66534375
transcript.pyannote[298].speaker SPEAKER_06
transcript.pyannote[298].start 797.96534375
transcript.pyannote[298].end 805.08659375
transcript.pyannote[299].speaker SPEAKER_02
transcript.pyannote[299].start 802.60596875
transcript.pyannote[299].end 802.87596875
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 803.73659375
transcript.pyannote[300].end 805.15409375
transcript.pyannote[301].speaker SPEAKER_02
transcript.pyannote[301].start 805.62659375
transcript.pyannote[301].end 807.21284375
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 807.34784375
transcript.pyannote[302].end 809.10284375
transcript.pyannote[303].speaker SPEAKER_02
transcript.pyannote[303].start 809.57534375
transcript.pyannote[303].end 813.27096875
transcript.pyannote[304].speaker SPEAKER_02
transcript.pyannote[304].start 813.42284375
transcript.pyannote[304].end 820.96596875
transcript.pyannote[305].speaker SPEAKER_06
transcript.pyannote[305].start 819.86909375
transcript.pyannote[305].end 825.04971875
transcript.pyannote[306].speaker SPEAKER_02
transcript.pyannote[306].start 821.87721875
transcript.pyannote[306].end 825.65721875
transcript.pyannote[307].speaker SPEAKER_04
transcript.pyannote[307].start 825.04971875
transcript.pyannote[307].end 825.10034375
transcript.pyannote[308].speaker SPEAKER_06
transcript.pyannote[308].start 825.10034375
transcript.pyannote[308].end 825.18471875
transcript.pyannote[309].speaker SPEAKER_04
transcript.pyannote[309].start 825.18471875
transcript.pyannote[309].end 825.33659375
transcript.pyannote[310].speaker SPEAKER_06
transcript.pyannote[310].start 825.33659375
transcript.pyannote[310].end 825.35346875
transcript.pyannote[311].speaker SPEAKER_04
transcript.pyannote[311].start 825.35346875
transcript.pyannote[311].end 825.37034375
transcript.pyannote[312].speaker SPEAKER_06
transcript.pyannote[312].start 825.37034375
transcript.pyannote[312].end 825.43784375
transcript.pyannote[313].speaker SPEAKER_04
transcript.pyannote[313].start 825.43784375
transcript.pyannote[313].end 825.50534375
transcript.pyannote[314].speaker SPEAKER_06
transcript.pyannote[314].start 825.50534375
transcript.pyannote[314].end 826.78784375
transcript.pyannote[315].speaker SPEAKER_04
transcript.pyannote[315].start 825.65721875
transcript.pyannote[315].end 825.82596875
transcript.pyannote[316].speaker SPEAKER_02
transcript.pyannote[316].start 826.33221875
transcript.pyannote[316].end 826.34909375
transcript.pyannote[317].speaker SPEAKER_04
transcript.pyannote[317].start 826.34909375
transcript.pyannote[317].end 826.70346875
transcript.pyannote[318].speaker SPEAKER_04
transcript.pyannote[318].start 826.78784375
transcript.pyannote[318].end 830.26409375
transcript.whisperx[0].start 7.035
transcript.whisperx[0].end 13.48
transcript.whisperx[0].text 謝謝主席以及各位先進有請金管委的彭主委請彭主委還有那個交易所的要董事長嗎 是不是林董事長林董對不起 請委員長
transcript.whisperx[1].start 27.393
transcript.whisperx[1].end 55.653
transcript.whisperx[1].text 兩位長官早齁我先問一下應該這是教育所在處理的吧這個前陣子有委員提到說要延到三點半是嗎這個這個案子確定沒有沒有跟委員報告事實上來講的話我們只是在做研議而且我們有好多案子都在做研議只是那一天委員特別提出來做了一點溝通而已是主委要不要講一下是我想當天其實當天
transcript.whisperx[2].start 57.054
transcript.whisperx[2].end 73.78
transcript.whisperx[2].text 林董事長說他演繹的內容的時候我就已經直接講了這是一個重大的事情那因為影響重大所以我們我在當天就有講只是那時候有部分媒體沒有把我後面的講出來其實我們第二天的時候我們就直接發了一個非常明確的澄清說明
transcript.whisperx[3].start 76.117
transcript.whisperx[3].end 93.883
transcript.whisperx[3].text 說明這是一個重大的制度的交易改革影響的層面非常多沒有做整密的研究之前什麼時候可以引力出來沒有 這個其實制度各國都在走都正在做我們是看因為主要還是要回到現在我感覺是大老闆把大老闆支持一般的散戶
transcript.whisperx[4].start 95.183
transcript.whisperx[4].end 122.722
transcript.whisperx[4].text 普羅大眾而且包括工作同仁工作人員比如說券商的工作人員等等的都反對啊不是委員是這樣因為主要是我現在講對吧我們這個市場有多元的投資人多元的市場參與者對他們有各種不同的意見我們的立場很清楚在沒有達成社會共識之前我們不會來推動我想這個很清楚了只是說各方有他各方意見都可以表達大概什麼時候會有共識
transcript.whisperx[5].start 124.069
transcript.whisperx[5].end 143.315
transcript.whisperx[5].text 你不要開一場一場去開會啊三個月內你能不能告訴我一個答案這可能沒辦法有個時間表我想我跟委員報告三個月可以嗎台灣的交易狀況我們現在優先次序不是在做這件事情我想上次董事長可以講說他優先次序要做些什麼事我請他來做說明
transcript.whisperx[6].start 144.4
transcript.whisperx[6].end 145.381
transcript.whisperx[6].text 再不實施可以嗎
transcript.whisperx[7].start 160.125
transcript.whisperx[7].end 182.541
transcript.whisperx[7].text 所以暫時不實施這個暫時多久不知道慢慢研究慢慢聽對 涉及到整個社會我們所有的議題都是這樣這變化太大了是的就是說這個從過去我們改變延長交易都是經過非常長時間所以我可以講說彭金榮主委頂兩點暫不實施還要經過多長的時間再去尋求共識
transcript.whisperx[8].start 188.809
transcript.whisperx[8].end 191.412
transcript.whisperx[8].text 現在大家很關心中聯友的事情被罰了1.65億 中聯友是三家公司
transcript.whisperx[9].start 208.915
transcript.whisperx[9].end 214.603
transcript.whisperx[9].text 泰山福壽福茂三家被處罰1.6億三家平均分擔一家是5500萬
transcript.whisperx[10].start 228.237
transcript.whisperx[10].end 252.399
transcript.whisperx[10].text 可是4月份已經發現了喔4月份已經發現這三家是上市公司喔他都沒有重訊喔這個你們有沒有去follow up啊這個請教一手說明法官委員報告事實上來講的話昨天他已經發重訊了昨天4月份就已經發現了到昨天才這樣慢了M拍喔不是半拍喔慢了不知道好幾拍啊
transcript.whisperx[11].start 253.55
transcript.whisperx[11].end 270.998
transcript.whisperx[11].text 對不對 而且這是他底下的籃球發現的跟委員報告是昨天才確定被滑所以他昨天才發重訊 你要確定他的那個實質上的具體到底是怎麼樣是昨天被滑的 因為他們也有 昨天就發了重訊跟委員報告這個老實講 這三家的ESG表現不好吧
transcript.whisperx[12].start 279.762
transcript.whisperx[12].end 295.222
transcript.whisperx[12].text 這個我們到時候都會做考量難道不是嗎 他ESG 求你喔 ESG 表現不好 有沒有法則有沒有法則 你沒有法則 有沒有 交易所沒有啊 看了一下都沒有法則啊
transcript.whisperx[13].start 299.906
transcript.whisperx[13].end 314.804
transcript.whisperx[13].text 基本上我們ESG表現不佳的部分來講的話我們基本上我們都有ESG的評鑑我們在這個評鑑的ranking上事實上現在的上市櫃公司都非常重視這ESG的評鑑那肯定這樣的部分來講我們會再扣分
transcript.whisperx[14].start 317.356
transcript.whisperx[14].end 338.83
transcript.whisperx[14].text 我們會做 我們一定會在評卷裡面公佈評卷多久公佈一次我們一年公佈一次一年喔 對神經線拉很長喔 你的導線很長耶一年 這個東西有關死的安全老百姓 旁邊就有朋友告訴我
transcript.whisperx[15].start 340.151
transcript.whisperx[15].end 363.967
transcript.whisperx[15].text 他在買了沙拉油就三家裡面其中一家他在想說要不要丟掉 油都沒有完要不要丟掉跟委員報告就EHG的評鑑是這樣但是基本上我們可以針對於重訓他們這個有沒有內控的缺失再去做處罰交易所這邊有兩個一個是我們可以去查核他到底他在這個事情上這樣講啦 那個主委聽著喔
transcript.whisperx[16].start 365.408
transcript.whisperx[16].end 377.279
transcript.whisperx[16].text ESG是好事 但是現在來看的話 ESG都是大家輪流吹牛用的 對不對我們不能 經管委也不能這麼說 ESG啊 我們是跟各位講這是一個評鑑制度 是一個類似一個比較類似 積極鼓勵那些做得好的人我們予以表揚 但是呢 剛剛講說
transcript.whisperx[17].start 389.75
transcript.whisperx[17].end 417.43
transcript.whisperx[17].text 委員這張投影片裡面為什麼他們會被罰因為其他還有其他的法令法規在去規範這些行為ESG是一個綜合的去評斷一家公司在這三個構面上這樣說的話ESG就廢掉就好了不是它是其中一個機制不是所有的機制我們有交易所跟它之間的這樣的管理關係也有很多法令不是只有靠ESG而已去研究ESG做了擺爛的給它處罰可以嗎
transcript.whisperx[18].start 419.031
transcript.whisperx[18].end 420.252
transcript.whisperx[18].text 今天啊我為什麼提不提這個好
transcript.whisperx[19].start 450.092
transcript.whisperx[19].end 472.785
transcript.whisperx[19].text 這個重量級的彭主委對外說ESG是個擺設而已 裝得太爛也沒有關係我想我剛剛從來都沒有這麼說我想說媒體也不會下這樣一個標題不是 ESG的評鑑已經行之有年大家都知道它的屬性它不是用來做一個監理工具的啦大家當好先生啦 早上要早起 早睡身體要好
transcript.whisperx[20].start 475.848
transcript.whisperx[20].end 493.143
transcript.whisperx[20].text 也不是啦幾乎就是啦因為你都不敢有罰則啊我們來看第二個問題因為我時間有限這個我跟你談過住院才離配我找了一下住院的手術一年大概22萬到25萬例男生手術26萬到30萬例
transcript.whisperx[21].start 499.155
transcript.whisperx[21].end 515.861
transcript.whisperx[21].text 門診手術等於是佔了全部的55%可以轉換比例尤其現在來講因為我們立法院通過了醫療法這個對護理師來講的話就很辛苦所以這個我就是請教你是
transcript.whisperx[22].start 517.862
transcript.whisperx[22].end 535.656
transcript.whisperx[22].text 你們有沒有認真去思考對於舊的保單有些的手術有些的手術就給他累 住院 理配這樣子的話也減輕醫院的負擔提高病床的做準備
transcript.whisperx[23].start 537.257
transcript.whisperx[23].end 538.217
transcript.whisperx[23].text 內住院!內住院!
transcript.whisperx[24].start 560.017
transcript.whisperx[24].end 583.344
transcript.whisperx[24].text 商業保險端來看是一個很難執行的問題所以我剛才講說大家講一些醫療的名詞這些東西怎麼樣落實在契約條款上面這個確實需要做充分的溝通因為很多這個你說幾句話我現在就問你啦給我一個答案啦通話給我一個答案好不好你們什麼時候會有答案出來我們現在逐步的有一些明朗的事情什麼時候會有答案出來
transcript.whisperx[25].start 584.42
transcript.whisperx[25].end 600.477
transcript.whisperx[25].text 委員講是什麼部分有沒有明確的答案就是說門診手術可以理賠門診手術可以理賠比如說我們現在講有些已經非常明確到白內障可以理賠上次我想我們請那個局長簡單跟您說明我們跟衛福部討論的一些結果
transcript.whisperx[26].start 603.14
transcript.whisperx[26].end 617.251
transcript.whisperx[26].text 各位我們跟衛福部溝通那請衛福部提供相關的數據也就是說過去是住院現在改門診大部分可以改門診的項目那這些是需要醫療專業跟相關的數據讓我們可以再跟業者再做下一步的一個溝通商議
transcript.whisperx[27].start 618.877
transcript.whisperx[27].end 638.462
transcript.whisperx[27].text 你們給我一個時間表什麼時候可以明確然後告訴我增加好幾項等於這幾項的門診都可以當作注意這個的話就希望衛福部盡快給我們協助就像白內障一樣大家社會有共識的話還有多少是像白內障這種情形的要多久時間可以嗎這個我們要跟衛福部公開這不是我們決定的兩個月可以嗎 兩個月
transcript.whisperx[28].start 639.562
transcript.whisperx[28].end 654.189
transcript.whisperx[28].text 沒有 這個要真的要他們跟醫界來溝通啦我想這部分我們是隨時準備好最後一個問題請那個財政部的莊部長好不好莊部長還有那個台酒的董事長湯董事長請莊部長湯董事長
transcript.whisperx[29].start 660.739
transcript.whisperx[29].end 677.947
transcript.whisperx[29].text 我很簡短的問 請問一下湯董事長這個台酒泡麵嘛對不對是有沒有用到中年 有沒有謝謝委員關心我們第一時間就全面盤查都沒有用到有的不僅僅有泡麵裡還有其他的喔
transcript.whisperx[30].start 679.391
transcript.whisperx[30].end 707.924
transcript.whisperx[30].text 對 我們全部所有的都沒有用到相關的剛才有委員提到的 我就同樣的替你講你們營運的 你們的營業額或者是營餘都逐年衰退加熱量是很重要的項目嗎加熱量不過所以讓你們這樣子嗎是嗎不是吧委員那個香菸占本公司超過52%的營收也算是影響很大
transcript.whisperx[31].start 708.841
transcript.whisperx[31].end 736.414
transcript.whisperx[31].text 所以影響很大所以這個戰略算國際數的是這個意思就這個意思我們會繼續努力府邸中心有沒有想過民營化你們啊有沒有想過民營化各位我們報告我想民營化是國家的政策董事長沒有辦法做決定但是如果國營企業可以有民營化的效率跟國際化的競爭力你應該講一個說在我任內我要積極推動民營化
transcript.whisperx[32].start 737.793
transcript.whisperx[32].end 760.302
transcript.whisperx[32].text 你敢不敢這樣講來 最後一個部長 我跟你講一個東西十安五環啊這個民進黨政府推的 從108年開始到現在到113年 總共花了快400億了這裡面財政部建了非常的完整發票系統
transcript.whisperx[33].start 761.869
transcript.whisperx[33].end 782.209
transcript.whisperx[33].text 十二五很重要就是從邊境管理然後整個食品履歷通通掌握住所以財政部其實有這套solution現在每天在吵都說不知道流到哪裡去第二層第三層不知道流到哪裡去其實就是衛福部擺爛財政部做好的東西他不用我這樣講對吧
transcript.whisperx[34].start 785.379
transcript.whisperx[34].end 798.99
transcript.whisperx[34].text 我想這樣 有關這個我們的發票是事實上可以做稅源而且我們也都上了那個食品雲可以借接那衛福部可以透過這樣子來做上下游的追蹤他們定期也都會來跟我們就是說來做需求就是一句話
transcript.whisperx[35].start 805.695
transcript.whisperx[35].end 821.039
transcript.whisperx[35].text 花了四百億左右將近四百億建立的這一套東西不是只有這一套好幾套這是其中一個很重要的這一套可以確實他怎麼不知道第二層第三層是誰通通知道因為你們要課稅你們要課稅但是衛福部沒有好好用啦就這樣