iVOD / 164685

Field Value
IVOD_ID 164685
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164685
日期 2025-10-23
會議資料.會議代碼 委員會-11-4-20-4
會議資料.會議代碼:str 第11屆第4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 4
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4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 2025-10-23T11:51:07+08:00
結束時間 2025-10-23T12:00:00+08:00
影片長度 00:08:53
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1f1f5c91750503d3b264e4998a54b0c748629de9594d8cbe226cb2fc332523273eca6ea80bfd1def5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱志偉
委員發言時間 11:51:07 - 12:00:00
會議時間 2025-10-23T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政委員會第4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 17.44596875
transcript.pyannote[0].end 19.21784375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 19.47096875
transcript.pyannote[1].end 20.50034375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 25.46159375
transcript.pyannote[2].end 25.59659375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 25.59659375
transcript.pyannote[3].end 26.50784375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 26.52471875
transcript.pyannote[4].end 26.87909375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 26.87909375
transcript.pyannote[5].end 28.07721875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 28.07721875
transcript.pyannote[6].end 28.44846875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 28.61721875
transcript.pyannote[7].end 35.43471875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 35.14784375
transcript.pyannote[8].end 35.53596875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 35.68784375
transcript.pyannote[9].end 38.32034375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 39.06284375
transcript.pyannote[10].end 41.57721875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 39.92346875
transcript.pyannote[11].end 44.37846875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 42.43784375
transcript.pyannote[12].end 42.80909375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 44.39534375
transcript.pyannote[13].end 44.80034375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 45.03659375
transcript.pyannote[14].end 46.50471875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 47.11221875
transcript.pyannote[15].end 48.78284375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 48.32721875
transcript.pyannote[16].end 49.23846875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 49.23846875
transcript.pyannote[17].end 55.36409375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 53.79471875
transcript.pyannote[18].end 60.76409375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 57.20346875
transcript.pyannote[19].end 57.49034375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 70.19721875
transcript.pyannote[20].end 70.60221875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 71.34471875
transcript.pyannote[21].end 73.31909375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 73.89284375
transcript.pyannote[22].end 75.88409375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 76.05284375
transcript.pyannote[23].end 76.37346875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 76.89659375
transcript.pyannote[24].end 78.97221875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 79.56284375
transcript.pyannote[25].end 80.00159375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 79.63034375
transcript.pyannote[26].end 79.86659375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 80.40659375
transcript.pyannote[27].end 83.59596875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 83.95034375
transcript.pyannote[28].end 84.96284375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 85.09784375
transcript.pyannote[29].end 87.94971875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 88.33784375
transcript.pyannote[30].end 91.30784375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 91.69596875
transcript.pyannote[31].end 91.98284375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 91.71284375
transcript.pyannote[32].end 94.88534375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 95.00346875
transcript.pyannote[33].end 97.87221875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 98.05784375
transcript.pyannote[34].end 98.36159375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 98.36159375
transcript.pyannote[35].end 98.37846875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 99.03659375
transcript.pyannote[36].end 101.38221875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 101.41596875
transcript.pyannote[37].end 101.44971875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 101.44971875
transcript.pyannote[38].end 101.82096875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 102.00659375
transcript.pyannote[39].end 102.02346875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 102.02346875
transcript.pyannote[40].end 104.41971875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 102.04034375
transcript.pyannote[41].end 102.34409375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 104.55471875
transcript.pyannote[42].end 104.95971875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 104.97659375
transcript.pyannote[43].end 107.05221875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 107.35596875
transcript.pyannote[44].end 108.21659375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 108.62159375
transcript.pyannote[45].end 112.97534375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 112.97534375
transcript.pyannote[46].end 113.31284375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 113.31284375
transcript.pyannote[47].end 114.25784375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 114.34221875
transcript.pyannote[48].end 114.67971875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 115.23659375
transcript.pyannote[49].end 116.16471875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 116.26596875
transcript.pyannote[50].end 117.49784375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 118.15596875
transcript.pyannote[51].end 122.00346875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 119.84346875
transcript.pyannote[52].end 120.19784375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 123.58971875
transcript.pyannote[53].end 125.05784375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 126.20534375
transcript.pyannote[54].end 126.34034375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 126.34034375
transcript.pyannote[55].end 126.39096875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 126.39096875
transcript.pyannote[56].end 126.44159375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 126.71159375
transcript.pyannote[57].end 129.64784375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 130.08659375
transcript.pyannote[58].end 133.27596875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 133.54596875
transcript.pyannote[59].end 134.17034375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 133.91721875
transcript.pyannote[60].end 136.95471875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 137.24159375
transcript.pyannote[61].end 137.59596875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 137.69721875
transcript.pyannote[62].end 139.19909375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 139.38471875
transcript.pyannote[63].end 140.00909375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 140.58284375
transcript.pyannote[64].end 144.24471875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 144.24471875
transcript.pyannote[65].end 145.29096875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 145.71284375
transcript.pyannote[66].end 147.60284375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 147.95721875
transcript.pyannote[67].end 149.27346875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 149.49284375
transcript.pyannote[68].end 151.34909375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 152.22659375
transcript.pyannote[69].end 153.71159375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 154.04909375
transcript.pyannote[70].end 154.38659375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 155.01096875
transcript.pyannote[71].end 155.97284375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 156.15846875
transcript.pyannote[72].end 156.79971875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 157.27221875
transcript.pyannote[73].end 172.20659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 165.60846875
transcript.pyannote[74].end 167.88659375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 172.30784375
transcript.pyannote[75].end 189.97596875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 190.34721875
transcript.pyannote[76].end 218.51159375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 201.58596875
transcript.pyannote[77].end 202.98659375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 219.00096875
transcript.pyannote[78].end 219.13596875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 219.13596875
transcript.pyannote[79].end 219.42284375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 219.42284375
transcript.pyannote[80].end 221.04284375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 220.38471875
transcript.pyannote[81].end 236.78721875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 237.09096875
transcript.pyannote[82].end 243.92534375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 243.13221875
transcript.pyannote[83].end 248.44784375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 244.44846875
transcript.pyannote[84].end 244.87034375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 248.46471875
transcript.pyannote[85].end 248.70096875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 249.24096875
transcript.pyannote[86].end 275.54909375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 251.51909375
transcript.pyannote[87].end 252.53159375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 253.22346875
transcript.pyannote[88].end 253.69596875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 258.75846875
transcript.pyannote[89].end 262.25159375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 263.87159375
transcript.pyannote[90].end 263.97284375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 265.74471875
transcript.pyannote[91].end 266.04846875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 272.84909375
transcript.pyannote[92].end 281.35409375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 281.87721875
transcript.pyannote[93].end 282.83909375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 282.11346875
transcript.pyannote[94].end 292.03596875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 288.39096875
transcript.pyannote[95].end 288.96471875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 288.96471875
transcript.pyannote[96].end 294.38159375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 292.03596875
transcript.pyannote[97].end 292.69409375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 294.26346875
transcript.pyannote[98].end 294.90471875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 294.90471875
transcript.pyannote[99].end 294.92159375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 294.92159375
transcript.pyannote[100].end 296.38971875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 296.38971875
transcript.pyannote[101].end 296.57534375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 296.57534375
transcript.pyannote[102].end 301.33409375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 301.70534375
transcript.pyannote[103].end 305.35034375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 305.08034375
transcript.pyannote[104].end 305.68784375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 305.68784375
transcript.pyannote[105].end 308.18534375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 308.37096875
transcript.pyannote[106].end 310.98659375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 310.98659375
transcript.pyannote[107].end 311.17221875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 311.17221875
transcript.pyannote[108].end 313.65284375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 313.77096875
transcript.pyannote[109].end 321.68534375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 322.22534375
transcript.pyannote[110].end 330.42659375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 329.85284375
transcript.pyannote[111].end 330.69659375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 330.69659375
transcript.pyannote[112].end 339.48846875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 340.78784375
transcript.pyannote[113].end 349.69784375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 340.88909375
transcript.pyannote[114].end 342.82971875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 349.98471875
transcript.pyannote[115].end 370.60596875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 350.05221875
transcript.pyannote[116].end 350.74409375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 350.84534375
transcript.pyannote[117].end 351.70596875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 368.95221875
transcript.pyannote[118].end 373.79534375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 372.51284375
transcript.pyannote[119].end 382.16534375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 377.44034375
transcript.pyannote[120].end 379.98846875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 381.37221875
transcript.pyannote[121].end 389.18534375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 386.82284375
transcript.pyannote[122].end 387.21096875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 390.29909375
transcript.pyannote[123].end 393.35346875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 390.55221875
transcript.pyannote[124].end 391.73346875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 391.93596875
transcript.pyannote[125].end 392.89784375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 393.72471875
transcript.pyannote[126].end 396.42471875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 396.12096875
transcript.pyannote[127].end 406.95471875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 400.79534375
transcript.pyannote[128].end 402.58409375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 404.84534375
transcript.pyannote[129].end 412.59096875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 407.37659375
transcript.pyannote[130].end 407.52846875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 409.58721875
transcript.pyannote[131].end 418.98659375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 418.46346875
transcript.pyannote[132].end 418.96971875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 418.98659375
transcript.pyannote[133].end 436.33409375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 419.50971875
transcript.pyannote[134].end 420.40409375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 421.06221875
transcript.pyannote[135].end 424.42034375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 434.56221875
transcript.pyannote[136].end 435.06846875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 436.36784375
transcript.pyannote[137].end 436.72221875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 436.99221875
transcript.pyannote[138].end 446.15534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 441.19409375
transcript.pyannote[139].end 442.39221875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 446.15534375
transcript.pyannote[140].end 450.40784375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 446.34096875
transcript.pyannote[141].end 448.99034375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 450.40784375
transcript.pyannote[142].end 453.95159375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 450.67784375
transcript.pyannote[143].end 451.38659375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 454.87971875
transcript.pyannote[144].end 458.71034375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 457.17471875
transcript.pyannote[145].end 459.68909375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 459.89159375
transcript.pyannote[146].end 483.90471875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 482.53784375
transcript.pyannote[147].end 483.60096875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 483.90471875
transcript.pyannote[148].end 486.13221875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 486.13221875
transcript.pyannote[149].end 494.19846875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 487.11096875
transcript.pyannote[150].end 488.66346875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 492.62909375
transcript.pyannote[151].end 503.02409375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 503.22659375
transcript.pyannote[152].end 505.99409375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 503.34471875
transcript.pyannote[153].end 503.86784375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 505.13346875
transcript.pyannote[154].end 508.00221875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 508.00221875
transcript.pyannote[155].end 518.00909375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 508.06971875
transcript.pyannote[156].end 508.08659375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 508.52534375
transcript.pyannote[157].end 509.09909375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 509.92596875
transcript.pyannote[158].end 509.94284375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 509.94284375
transcript.pyannote[159].end 509.97659375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 509.97659375
transcript.pyannote[160].end 513.04784375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 513.04784375
transcript.pyannote[161].end 513.58784375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 513.58784375
transcript.pyannote[162].end 513.70596875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 514.14471875
transcript.pyannote[163].end 514.65096875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 516.96284375
transcript.pyannote[164].end 521.43471875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 521.55284375
transcript.pyannote[165].end 523.67909375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 523.67909375
transcript.pyannote[166].end 523.74659375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 523.74659375
transcript.pyannote[167].end 529.83846875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 524.38784375
transcript.pyannote[168].end 524.75909375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 524.75909375
transcript.pyannote[169].end 524.77596875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 524.77596875
transcript.pyannote[170].end 524.79284375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 525.73784375
transcript.pyannote[171].end 527.23971875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 530.36159375
transcript.pyannote[172].end 532.69034375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 533.16284375
transcript.pyannote[173].end 533.48346875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 533.48346875
transcript.pyannote[174].end 533.87159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 533.97284375
transcript.pyannote[175].end 534.31034375
transcript.whisperx[0].start 17.569
transcript.whisperx[0].end 45.789
transcript.whisperx[0].text 謝主席有請中央銀行楊總裁請楊總裁邱委員早這個總裁早是總裁對於這個我覺得從一些民意來看您的相關的這個政策作為是一般產業對您是非常敬畏非常敬畏對您的一言一行對您所發表任何言論是通常沒辦法匆匆忙忙
transcript.whisperx[1].start 47.37
transcript.whisperx[1].end 57.532
transcript.whisperx[1].text 是 戒慎恐懼好 這個我們也要自己檢討我們也自己檢討我這幾天看到一個媒體報導媒體報導就是針對你們對這個等一下我看一下這個不動產跟這個金融投資業對
transcript.whisperx[2].start 76.94
transcript.whisperx[2].end 97.605
transcript.whisperx[2].text 他們的對經濟成長貢獻度是那當然央行有龐大的這個研究團隊你說這個營造業跟不動產的貢獻度加起來只有0.13 0.07跟0.06%那跟這個組織總數跟中研院做出的包括營建一個不動產業占GDP的比例對
transcript.whisperx[3].start 99.056
transcript.whisperx[3].end 119.581
transcript.whisperx[3].text 他加起來超過12%遠超過6.42的金融業那這個生產餘額呢生產的毛額營造業加起來跟不動產業加起來有2.6兆也超過金融業的1.6兆當然他說的他的標題比較比較這個聳動說央行別亂開地圖炮你知道這什麼地圖炮
transcript.whisperx[4].start 126.778
transcript.whisperx[4].end 153.553
transcript.whisperx[4].text 媒體的評論一樣不要亂開地圖炮什麼叫地圖炮就對某個群體進行攻擊對某個群體它有一個特定的立場因為這立場不見得是客觀的那當然相關的工會也會提出相關的數據反駁您對於所謂營造業 營建業跟不動產業對我國經濟的重要性為什麼差距如此之大
transcript.whisperx[5].start 155.069
transcript.whisperx[5].end 176.051
transcript.whisperx[5].text 您的看法呢基本上我跟委員報告我們做這一份報告主要的我們不是針對他針對我們的事實上我們剛剛我也有回答我們的委員當時我們是看到就是說在很多的
transcript.whisperx[6].start 176.471
transcript.whisperx[6].end 179.733
transcript.whisperx[6].text 報導裡面都說火車那個不動產業是我們的經濟的火車頭這是第一個 第二個呢有一篇社論呢他也這麼認為但是呢我們覺得中央銀行根據那個數據我們分析的結果應該我們只是最主要我們只是說要呈現那個數據給大家來我們沒有就是說要
transcript.whisperx[7].start 204.771
transcript.whisperx[7].end 217.997
transcript.whisperx[7].text 後來也就是說看到我們的Q&A說實在的委員我也跟你說一個這個就好像是故事
transcript.whisperx[8].start 219.082
transcript.whisperx[8].end 220.983
transcript.whisperx[8].text 事實上當時我們在記者會記者會的時候本來我是要把這個護錄PO出去的
transcript.whisperx[9].start 237.19
transcript.whisperx[9].end 261.888
transcript.whisperx[9].text 那後來我跟我們同事講就是說這個PO出去不好啦這個好像會讓人家我打斷您的話我打斷您的故事因為我有很多故事要跟你說這個你要發表任何數據一定要是要很客觀不是你們央行的研究團隊的結果你要參考主席總書商中心院相關的數據來做一個橫頻的報道所以我建議這是溝通的問題我不是說你的數據有問題
transcript.whisperx[10].start 265.771
transcript.whisperx[10].end 279.857
transcript.whisperx[10].text 但是跟其他的單位包括公會跟中經院跟主計總署提出的數據是不一樣的而且差別很大所以造成民眾的混淆不不不 那應該都是一樣的應該大家都是用那個主計總署的數據
transcript.whisperx[11].start 283.585
transcript.whisperx[11].end 310.371
transcript.whisperx[11].text 主計總署的數據呢2024年主要行業明目生產毛爾占明目GDP的比重總裁我先不跟你討論我有空再跟你討論因為我這邊還有10個故事要跟你說我只講了一個故事所以為什麼你的一言一行你的這個記者會也好或者你公布的這個新聞稿也好所有的行業都戰戰兢兢包括金融業也是一樣好 這個選擇性信用管制從2020年12月以來第7波
transcript.whisperx[12].start 311.511
transcript.whisperx[12].end 339.059
transcript.whisperx[12].text 你們最調整的主要的檢討或者調整的主要的依據或者主要的參考是什麼是不是這個不動產貸款集中度我看你們報告裡面從去年的最高點37.61一年降到今年8月的36.71要降到什麼樣水準你才會覺得有可能去調整或者是檢討這個選擇性信用管制或者放鬆
transcript.whisperx[13].start 340.799
transcript.whisperx[13].end 344.441
transcript.whisperx[13].text 還是有其他的數據參考包委員 事實上我們參考的數據不是只有集中度還有一些的指標還有哪些指標 你能不能說明一下包括就是說我們不動產的它的一個成長率住宅的貸款的成長率是怎麼樣建築融資的成長率是怎麼樣整體的不動產產業的融資的成長率是怎麼樣這個都是我們觀察
transcript.whisperx[14].start 369.617
transcript.whisperx[14].end 388.171
transcript.whisperx[14].text 大概有幾項指標你們大概說一下大概幾項指標這些都是還有包括你的那個房價的指數這個都是我們觀察的指標還有他的交換他的那個交易的那個動數你能不能把所有你做決策或怎麼樣你做的決策的參考的這個依據你能不能有一個清單給我們做參考
transcript.whisperx[15].start 390.339
transcript.whisperx[15].end 392.2
transcript.whisperx[15].text 我們觀察的 我可以列出給委員就說哪些指標是我們觀察的事實上我跟委員報告
transcript.whisperx[16].start 414.426
transcript.whisperx[16].end 436.148
transcript.whisperx[16].text 我們在我們的報告裡面也都有揭露一些總裁你這個用詳細書面去提供給邱志偉最後一個30秒就是說你們這個報告裡面銀行自主管理不動銅的貸款優先存儲自用住宅跟這個都跟危老配合政府政策的貸款
transcript.whisperx[17].start 437.069
transcript.whisperx[17].end 453.77
transcript.whisperx[17].text 那央行已經給銀行自主彈性調整空間是什麼叫自主彈性調整空間這個太抽象你們具體的我想這個不會很抽象這個銀行都知道它不會是抽象有沒有各個銀行不同的標準
transcript.whisperx[18].start 455.146
transcript.whisperx[18].end 459.227
transcript.whisperx[18].text 還是有一定適用的標準不是說一定適用只要我們認為就是說他給我們揭示給我們的這些數據我們認為就是說他是因為他為什麼他會超過他的目標是因為他對首購他對都更為老對社會住宅的那個什麼的那個而導致他的這個
transcript.whisperx[19].start 479.351
transcript.whisperx[19].end 502.297
transcript.whisperx[19].text 指標他的那個指數呢他的那個成長率高於他的目標各個銀行的自主彈性標準不一樣不一樣啊他不一樣就看他的目前狀況因為他每一個銀行他的一個策略他的一個貸款的一個不太一樣我建議您再去跟所有針對這些國有銀行啊你們給他自主彈性調整空間你要去review一下有些銀行真的貸款的比登天還難
transcript.whisperx[20].start 503.297
transcript.whisperx[20].end 529.168
transcript.whisperx[20].text 所以比當天還難啊那是他自己的practice你已經有自主財信但他還是一樣有些銀行是很難貸款所以你大概也要去銀行很難貸款是因為銀行他有5P他也要follow他的5P啊那如果說這個借物他不符合他的5P那當然他是很難貸款啊這個蠻複雜的
transcript.whisperx[21].start 533.189
transcript.whisperx[21].end 533.209
transcript.whisperx[21].text 好 謝謝