iVOD / 159130

Field Value
IVOD_ID 159130
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159130
日期 2025-03-13
會議資料.會議代碼 委員會-11-3-20-2
會議資料.會議代碼:str 第11屆第3會期財政委員會第2次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 2
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3會期財政委員會第2次全體委員會議
影片種類 Clip
開始時間 2025-03-13T11:47:35+08:00
結束時間 2025-03-13T11:58:52+08:00
影片長度 00:11:17
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3b972b8f6f00770f42dd2ac5e9095cfde83d902c8d6dd6c2ff1cdb1affc83ff4ebd3dc688115573a5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王世堅
委員發言時間 11:47:35 - 11:58:52
會議時間 2025-03-13T09:00:00+08:00
會議名稱 立法院第11屆第3會期財政委員會第2次全體委員會議(事由:邀請中央銀行楊總裁金龍率所屬單位主管暨財金資訊股份有限公司董事長列席業務報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.06471875
transcript.pyannote[0].end 0.57096875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 0.73971875
transcript.pyannote[1].end 1.02659375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 1.02659375
transcript.pyannote[2].end 1.34721875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 1.60034375
transcript.pyannote[3].end 3.42284375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 7.50659375
transcript.pyannote[4].end 8.92409375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 9.34596875
transcript.pyannote[5].end 10.07159375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 10.27409375
transcript.pyannote[6].end 10.47659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 11.05034375
transcript.pyannote[7].end 11.79284375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 16.51784375
transcript.pyannote[8].end 55.04346875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 16.83846875
transcript.pyannote[9].end 17.09159375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 17.09159375
transcript.pyannote[10].end 20.11221875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 21.74909375
transcript.pyannote[11].end 23.43659375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 26.00159375
transcript.pyannote[12].end 29.59596875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 33.40971875
transcript.pyannote[13].end 33.49409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 41.03721875
transcript.pyannote[14].end 41.27346875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 43.80471875
transcript.pyannote[15].end 44.10846875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 48.88409375
transcript.pyannote[16].end 49.28909375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 52.66409375
transcript.pyannote[17].end 52.83284375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 56.54534375
transcript.pyannote[18].end 66.36659375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 66.90659375
transcript.pyannote[19].end 68.61096875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 68.94846875
transcript.pyannote[20].end 71.22659375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 71.49659375
transcript.pyannote[21].end 73.13346875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 73.82534375
transcript.pyannote[22].end 74.51721875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 74.58471875
transcript.pyannote[23].end 76.39034375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 76.54221875
transcript.pyannote[24].end 77.30159375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 77.77409375
transcript.pyannote[25].end 80.86221875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 81.01409375
transcript.pyannote[26].end 81.40221875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 81.40221875
transcript.pyannote[27].end 93.73784375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 94.02471875
transcript.pyannote[28].end 95.02034375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 95.42534375
transcript.pyannote[29].end 97.34909375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 97.90596875
transcript.pyannote[30].end 98.32784375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 99.07034375
transcript.pyannote[31].end 108.19971875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 108.19971875
transcript.pyannote[32].end 108.62159375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 108.62159375
transcript.pyannote[33].end 109.66784375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 110.00534375
transcript.pyannote[34].end 110.51159375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 111.05159375
transcript.pyannote[35].end 111.69284375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 112.40159375
transcript.pyannote[36].end 123.50534375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 123.57284375
transcript.pyannote[37].end 123.97784375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 124.04534375
transcript.pyannote[38].end 125.44596875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 125.59784375
transcript.pyannote[39].end 126.25596875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 127.15034375
transcript.pyannote[40].end 129.15846875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 129.83346875
transcript.pyannote[41].end 130.64346875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 130.89659375
transcript.pyannote[42].end 135.25034375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 136.11096875
transcript.pyannote[43].end 143.56971875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 144.17721875
transcript.pyannote[44].end 158.08221875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 157.77846875
transcript.pyannote[45].end 157.91346875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 157.91346875
transcript.pyannote[46].end 157.94721875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 157.94721875
transcript.pyannote[47].end 157.96409375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 158.08221875
transcript.pyannote[48].end 158.92596875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 158.92596875
transcript.pyannote[49].end 158.99346875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 158.94284375
transcript.pyannote[50].end 177.65721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 158.99346875
transcript.pyannote[51].end 159.22971875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 159.22971875
transcript.pyannote[52].end 159.34784375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 178.46721875
transcript.pyannote[53].end 186.63471875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 179.66534375
transcript.pyannote[54].end 180.03659375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 180.03659375
transcript.pyannote[55].end 180.20534375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 180.20534375
transcript.pyannote[56].end 180.39096875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 183.20909375
transcript.pyannote[57].end 183.88409375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 186.92159375
transcript.pyannote[58].end 187.14096875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 187.12409375
transcript.pyannote[59].end 194.75159375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 195.00471875
transcript.pyannote[60].end 197.97471875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 198.21096875
transcript.pyannote[61].end 230.69534375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 210.68159375
transcript.pyannote[62].end 210.96846875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 210.96846875
transcript.pyannote[63].end 210.98534375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 212.97659375
transcript.pyannote[64].end 215.38971875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 231.37034375
transcript.pyannote[65].end 232.61909375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 233.32784375
transcript.pyannote[66].end 234.96471875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 234.96471875
transcript.pyannote[67].end 266.38596875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 247.85721875
transcript.pyannote[68].end 249.22409375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 255.21471875
transcript.pyannote[69].end 255.85596875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 256.48034375
transcript.pyannote[70].end 256.58159375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 256.58159375
transcript.pyannote[71].end 258.03284375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 258.03284375
transcript.pyannote[72].end 258.04971875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 259.18034375
transcript.pyannote[73].end 259.51784375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 265.00221875
transcript.pyannote[74].end 266.95971875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 266.95971875
transcript.pyannote[75].end 266.97659375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 266.97659375
transcript.pyannote[76].end 268.09034375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 267.12846875
transcript.pyannote[77].end 282.04596875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 270.60471875
transcript.pyannote[78].end 271.06034375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 271.70159375
transcript.pyannote[79].end 272.69721875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 276.98346875
transcript.pyannote[80].end 277.01721875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 277.01721875
transcript.pyannote[81].end 277.13534375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 277.13534375
transcript.pyannote[82].end 277.20284375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 277.20284375
transcript.pyannote[83].end 277.28721875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 282.24846875
transcript.pyannote[84].end 282.70409375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 283.19346875
transcript.pyannote[85].end 286.39971875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 286.48409375
transcript.pyannote[86].end 287.44596875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 287.76659375
transcript.pyannote[87].end 295.88346875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 296.96346875
transcript.pyannote[88].end 300.03471875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 300.55784375
transcript.pyannote[89].end 324.30096875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 324.80721875
transcript.pyannote[90].end 325.19534375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 325.60034375
transcript.pyannote[91].end 329.80221875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 327.13596875
transcript.pyannote[92].end 327.22034375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 330.29159375
transcript.pyannote[93].end 332.33346875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 332.68784375
transcript.pyannote[94].end 334.94909375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 335.42159375
transcript.pyannote[95].end 338.22284375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 338.77971875
transcript.pyannote[96].end 339.89346875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 340.80471875
transcript.pyannote[97].end 345.02346875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 345.02346875
transcript.pyannote[98].end 349.05659375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 349.52909375
transcript.pyannote[99].end 350.49096875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 350.64284375
transcript.pyannote[100].end 352.02659375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 352.56659375
transcript.pyannote[101].end 355.16534375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 356.22846875
transcript.pyannote[102].end 382.26659375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 382.72221875
transcript.pyannote[103].end 383.81909375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 384.08909375
transcript.pyannote[104].end 389.82659375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 390.13034375
transcript.pyannote[105].end 404.92971875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 404.22096875
transcript.pyannote[106].end 404.87909375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 404.92971875
transcript.pyannote[107].end 437.02596875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 406.43159375
transcript.pyannote[108].end 407.62971875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 409.43534375
transcript.pyannote[109].end 410.58284375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 416.23596875
transcript.pyannote[110].end 416.52284375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 437.02596875
transcript.pyannote[111].end 437.04284375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 437.04284375
transcript.pyannote[112].end 437.07659375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 437.07659375
transcript.pyannote[113].end 463.51971875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 437.43096875
transcript.pyannote[114].end 440.41784375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 464.43096875
transcript.pyannote[115].end 466.84409375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 466.96221875
transcript.pyannote[116].end 469.93221875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 471.11346875
transcript.pyannote[117].end 484.63034375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 472.48034375
transcript.pyannote[118].end 476.96909375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 476.96909375
transcript.pyannote[119].end 477.01971875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 480.36096875
transcript.pyannote[120].end 480.39471875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 480.39471875
transcript.pyannote[121].end 480.81659375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 480.81659375
transcript.pyannote[122].end 480.83346875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 483.82034375
transcript.pyannote[123].end 484.52909375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 484.63034375
transcript.pyannote[124].end 484.64721875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 484.64721875
transcript.pyannote[125].end 485.28846875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 485.28846875
transcript.pyannote[126].end 488.68034375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 485.32221875
transcript.pyannote[127].end 486.36846875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 489.35534375
transcript.pyannote[128].end 497.28659375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 495.29534375
transcript.pyannote[129].end 495.61596875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 496.45971875
transcript.pyannote[130].end 496.52721875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 497.28659375
transcript.pyannote[131].end 497.82659375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 497.74221875
transcript.pyannote[132].end 499.76721875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 500.40846875
transcript.pyannote[133].end 510.12846875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 510.33096875
transcript.pyannote[134].end 510.93846875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 512.32221875
transcript.pyannote[135].end 529.04534375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 515.02221875
transcript.pyannote[136].end 515.24159375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 518.80221875
transcript.pyannote[137].end 518.83596875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 518.83596875
transcript.pyannote[138].end 519.02159375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 519.02159375
transcript.pyannote[139].end 519.61221875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 519.61221875
transcript.pyannote[140].end 519.67971875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 525.63659375
transcript.pyannote[141].end 525.90659375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 530.05784375
transcript.pyannote[142].end 545.44784375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 545.80221875
transcript.pyannote[143].end 570.87846875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 556.43346875
transcript.pyannote[144].end 556.99034375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 569.66346875
transcript.pyannote[145].end 569.93346875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 571.40159375
transcript.pyannote[146].end 583.65284375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 584.17596875
transcript.pyannote[147].end 603.39659375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 603.39659375
transcript.pyannote[148].end 603.80159375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 603.73409375
transcript.pyannote[149].end 604.76346875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 605.21909375
transcript.pyannote[150].end 610.88909375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 610.88909375
transcript.pyannote[151].end 611.04096875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 611.04096875
transcript.pyannote[152].end 623.02221875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 623.02221875
transcript.pyannote[153].end 623.39346875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 623.22471875
transcript.pyannote[154].end 647.65971875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 648.01409375
transcript.pyannote[155].end 678.96284375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 652.85721875
transcript.pyannote[156].end 652.90784375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 657.10971875
transcript.pyannote[157].end 657.83534375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 657.83534375
transcript.pyannote[158].end 657.95346875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 657.95346875
transcript.pyannote[159].end 657.97034375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 671.84159375
transcript.pyannote[160].end 673.22534375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 673.36034375
transcript.pyannote[161].end 674.06909375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 674.06909375
transcript.pyannote[162].end 674.64284375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 674.64284375
transcript.pyannote[163].end 676.26284375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 676.26284375
transcript.pyannote[164].end 676.68471875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 676.68471875
transcript.pyannote[165].end 677.96721875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 677.96721875
transcript.pyannote[166].end 678.62534375
transcript.whisperx[0].start 0.109
transcript.whisperx[0].end 1.672
transcript.whisperx[0].text 謝謝主席 我請楊總裁來 請
transcript.whisperx[1].start 16.596
transcript.whisperx[1].end 23.342
transcript.whisperx[1].text 我首先必須先肯定你去年義氣波信用管制你的堅持這是正確的我一直認為說我們所有部會當中我們中央銀行跟金管會是在穩定我們國內財經最重要的兩大重鎮而且
transcript.whisperx[2].start 45.48
transcript.whisperx[2].end 72.359
transcript.whisperx[2].text 央行跟金管會到現在為止那這個表現確實可圈可點那麼我去年的上個會期12月份的質詢我針對金管會我有提到說這個要趕快去查查就是是不是融資租賃公司他們會成為
transcript.whisperx[3].start 73.9
transcript.whisperx[3].end 93.173
transcript.whisperx[3].text 我們對於不動產放款就是變成打房的一個破口那我這個質詢之後這個質詢之後當然這個經國二他們有趕快發函他們就有發函要求各銀行針對
transcript.whisperx[4].start 96.587
transcript.whisperx[4].end 122.921
transcript.whisperx[4].text 這個融資的資金用途必須詢問去防止杜絕這個破口他們是在12月13號發的函那我比較感到有興趣的是12月19號我們央行的理監事會議裡面結果也有理事他也提出這樣的疑慮
transcript.whisperx[5].start 124.195
transcript.whisperx[5].end 134.628
transcript.whisperx[5].text 那也就是說在金管會已經有行文跟銀行要求也查查之後那我們
transcript.whisperx[6].start 136.155
transcript.whisperx[6].end 159.893
transcript.whisperx[6].text 理政事會裡面理事也有提出這個疑問那我認為說是不是我們的看法不但一致而且你們有發現什麼樣的新的問題新的破口是我們央行跟金管會必須特別再去查查再去強調的你的看法呢
transcript.whisperx[7].start 160.353
transcript.whisperx[7].end 177.458
transcript.whisperx[7].text 是有那個報告委員就是說我們的我們理事就是說在我們上一次的禮監事會也有提到也有提到就是說這個破口那不過呢上一次那個他講到的這個破口呢主要的他是在講基層金融
transcript.whisperx[8].start 179.594
transcript.whisperx[8].end 188.903
transcript.whisperx[8].text 就是我們的榮譽會信用部還有信用合作社這個部分他講的那個破口是在這個部分而且事實上在講這個破口之後我們有去了解
transcript.whisperx[9].start 195.109
transcript.whisperx[9].end 196.75
transcript.whisperx[9].text 而且我們也有專案經檢對這個部分而且我們也發函給農業金庫因為是農業金庫是農委會之下的農業金庫不是農業的信用部對對對
transcript.whisperx[10].start 216.778
transcript.whisperx[10].end 232.45
transcript.whisperx[10].text 因為農會金庫他對這個農會信用部還有就是農會特別是農會信用部他們有那個檢查不是檢查權他們有監管的責任所以就這個部分我們有去更進一步的了解
transcript.whisperx[11].start 234.182
transcript.whisperx[11].end 252.464
transcript.whisperx[11].text 因為我們這一個底線我們要求銀行金融機構要求貸款不動產不能超過存款總額百分之三十這個底線是絕對要簽署的所以這最可能的大金額的做口
transcript.whisperx[12].start 253.064
transcript.whisperx[12].end 282.384
transcript.whisperx[12].text 那是這些融資註定公司因為他們這金額太龐大了動輒都百億以上那這個農業信用部雖然金額不大但是也會是因為他的加速多啦那這個部分就請你要繼續繼續監督他們那第二個我憂慮的就是說我們消費物價指數CPI啦CPI當然我們在2月份1.58是已經比
transcript.whisperx[13].start 284.425
transcript.whisperx[13].end 293.928
transcript.whisperx[13].text 創下這四年來新低但是不可否認的我們一二月還是一樣比去年同期還是漲這裡面
transcript.whisperx[14].start 297.031
transcript.whisperx[14].end 324.009
transcript.whisperx[14].text 去年今年的數字不管漲跌都已經達到通膨的警戒線尤其食物的方面食物的這個部分竟然高達3.98這麼高高達3.98那3.98幾乎啊我們全民尤其是上班族外食族的朋友們那真的是
transcript.whisperx[15].start 325.691
transcript.whisperx[15].end 339.246
transcript.whisperx[15].text 苦不堪言啦苦不堪言所以我一直搞不懂的就是說為什麼啦為什麼我們對於這個通膨尤其是食物為什麼對
transcript.whisperx[16].start 341.111
transcript.whisperx[16].end 354.625
transcript.whisperx[16].text 食物通膨沒辦法抑制那個總裁你看法呢我跟委員報告就是說外食還有房租外食跟房租是屬於服務類
transcript.whisperx[17].start 356.497
transcript.whisperx[17].end 380.444
transcript.whisperx[17].text 是屬於服務類我們有商品類跟服務類像說蔬菜水果那個是商品類外食跟房租這個是服務類服務類不管就是在台灣或是在外國都有同樣的一個特性它要調降下來都會有sticky
transcript.whisperx[18].start 382.785
transcript.whisperx[18].end 405
transcript.whisperx[18].text 就是僵固性所以就是說他上去了以後呢要回來的時候呢他會慢慢的不會像商品類一樣的商品類你看看像商品類我們商品類下跌的速度就比較快但是呢服務類的這個部分呢他就比較sticky他的特性就是比較僵固這個規律在服務類當然這個就會確實比較不容易但是但是
transcript.whisperx[19].start 413.005
transcript.whisperx[19].end 434.648
transcript.whisperx[19].text 我們雖然是比日韓低是優於日韓但是我們比歐美是高那如果純粹以服務類這個項目來看的話那歐美的薪資是遠高於我們結果他們在這一部分的CPI15的CPI是遠低於我們
transcript.whisperx[20].start 435.569
transcript.whisperx[20].end 463.183
transcript.whisperx[20].text 他們大概2%而已我跟委員報告事實上如果說就歐美來講的話我們跟OECD來比較事實上他們的服務類也是一樣的是上去了以後它下來也是比較你現在講的是說是食物類但是如果說我們從total這個服務類來看的話事實上它還是比我們高
transcript.whisperx[21].start 464.502
transcript.whisperx[21].end 488.373
transcript.whisperx[21].text 他整體的服務類還是比我們高他的服務類現在大概是4.4左右但是食物的部分他大概是他的因為他上站了以後他下來的速度是比較快一點比我們台灣快一點所以總裁當然您是專家我的看法就是說是不是
transcript.whisperx[22].start 489.42
transcript.whisperx[22].end 508.931
transcript.whisperx[22].text 我們中央銀行應該靈活應用這個利率來控制通膨我的看法就是說因為我們洋行最重要的任務之一就是穩定國內物價在這一個部分利率的運用上
transcript.whisperx[23].start 512.609
transcript.whisperx[23].end 528.748
transcript.whisperx[23].text 觀察的結果美國他們是很靈活應用的美國他們在這個利率的調整他們是很激動很激動的那我們台灣長期以來我們國家的低利率已經造成一些
transcript.whisperx[24].start 530.66
transcript.whisperx[24].end 544.63
transcript.whisperx[24].text 不可測的危害已經發生很清楚的我們長期的低利率導致房地產價格不斷上漲那我們長期的低利率也讓我們台灣的民眾放棄
transcript.whisperx[25].start 545.991
transcript.whisperx[25].end 574.686
transcript.whisperx[25].text 除序放棄除序那麼而且還傾向於因為這麼低的利率所以傾向於借貸那這個都是很頭痛的問題而且這長期以往會助長這個金融投機啦金融泡沫所以這一個部分是我們不得不要來做機動的調整尤其尤其我們長期的這個低利率
transcript.whisperx[26].start 576.823
transcript.whisperx[26].end 604.359
transcript.whisperx[26].text 已經也導致我們台灣受險業者他們把我們高達35兆他們從保險戶收到的資金那這些金額70% 25兆因為我們國家的低利率所以他們又有理由有藉口他們到海外去購買海外國外的債券基金那這些
transcript.whisperx[27].start 605.299
transcript.whisperx[27].end 621.877
transcript.whisperx[27].text 因為有戰爭匯率的風險賺人家利息人家把你本金吃了戰爭的風險你像買俄國的部分現在要收回遙遙無期那這一些風險都已經發生不打緊也導致我們國內
transcript.whisperx[28].start 623.278
transcript.whisperx[28].end 647.063
transcript.whisperx[28].text 自己國家的資金來自我們民眾的錢竟然沒辦法用在我們國家自己的建設所以我認為是不是應該在下一次的禮監事會議還有下下次未來的這些禮監事會議要靈活激動的調整利率你看美國他們這麼激動之下你看他們
transcript.whisperx[29].start 648.163
transcript.whisperx[29].end 672.295
transcript.whisperx[29].text 在通膨的部分他們守的至少守的還比我們好所以這一個部分是我給周恩揚的一些建議好不好能不能這個部分就做到而且我也做了一個臨時提案希望在這一個部分你們一個月內做一個基本的對利率調整的一些綜合因素的看法好不好
transcript.whisperx[30].start 672.915
transcript.whisperx[30].end 673.536
transcript.whisperx[30].text 我做一個報告