iVOD / 150746

Field Value
IVOD_ID 150746
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/150746
日期 2024-04-01
會議資料.會議代碼 委員會-11-1-20-6
會議資料.會議代碼:str 第11屆第1會期財政委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 6
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1會期財政委員會第6次全體委員會議
影片種類 Clip
開始時間 2024-04-01T09:46:55+08:00
結束時間 2024-04-01T10:00:05+08:00
影片長度 00:13:10
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/01d093d00f1a07c0cf6e45f8ffda3447ee14ad7ded5d841af8ba9b0039caa7a6f08deeda106faf485ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 09:46:55 - 10:00:05
會議時間 2024-04-01T09:00:00+08:00
會議名稱 立法院第11屆第1會期財政委員會第6次全體委員會議(事由:邀請財政部莊部長翠雲、金融監督管理委員會黃主任委員天牧、內政部、國家發展委員會就「如何積極推動金融業投注國內公共建設,並達成社宅百萬戶之政策目標」進行專題報告,並備質詢。 【4月1日及3日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_05
transcript.pyannote[0].start 11.06721875
transcript.pyannote[0].end 12.14721875
transcript.pyannote[1].speaker SPEAKER_05
transcript.pyannote[1].start 12.33284375
transcript.pyannote[1].end 13.41284375
transcript.pyannote[2].speaker SPEAKER_05
transcript.pyannote[2].start 13.80096875
transcript.pyannote[2].end 16.61909375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 17.07471875
transcript.pyannote[3].end 17.83409375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 23.67284375
transcript.pyannote[4].end 23.97659375
transcript.pyannote[5].speaker SPEAKER_05
transcript.pyannote[5].start 23.97659375
transcript.pyannote[5].end 24.02721875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 24.02721875
transcript.pyannote[6].end 24.55034375
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 24.55034375
transcript.pyannote[7].end 24.56721875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 25.20846875
transcript.pyannote[8].end 25.22534375
transcript.pyannote[9].speaker SPEAKER_05
transcript.pyannote[9].start 25.22534375
transcript.pyannote[9].end 26.27159375
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 27.09846875
transcript.pyannote[10].end 28.02659375
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 28.12784375
transcript.pyannote[11].end 28.90409375
transcript.pyannote[12].speaker SPEAKER_05
transcript.pyannote[12].start 29.62971875
transcript.pyannote[12].end 32.93721875
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 33.32534375
transcript.pyannote[13].end 34.33784375
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 34.84409375
transcript.pyannote[14].end 35.65409375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 36.39659375
transcript.pyannote[15].end 36.73409375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 36.98721875
transcript.pyannote[16].end 37.66221875
transcript.pyannote[17].speaker SPEAKER_05
transcript.pyannote[17].start 37.93221875
transcript.pyannote[17].end 38.23596875
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 38.91096875
transcript.pyannote[18].end 40.68284375
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 41.61096875
transcript.pyannote[19].end 42.15096875
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 43.18034375
transcript.pyannote[20].end 44.27721875
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 44.88471875
transcript.pyannote[21].end 46.33596875
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 46.79159375
transcript.pyannote[22].end 49.01909375
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 49.44096875
transcript.pyannote[23].end 51.73596875
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 52.19159375
transcript.pyannote[24].end 54.26721875
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 54.90846875
transcript.pyannote[25].end 62.14784375
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 62.80596875
transcript.pyannote[26].end 66.65346875
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 67.02471875
transcript.pyannote[27].end 70.18034375
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 70.70346875
transcript.pyannote[28].end 71.96909375
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 72.23909375
transcript.pyannote[29].end 74.12909375
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 74.34846875
transcript.pyannote[30].end 77.60534375
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 78.04409375
transcript.pyannote[31].end 81.06471875
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 81.26721875
transcript.pyannote[32].end 84.25409375
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 84.62534375
transcript.pyannote[33].end 85.89096875
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 86.56596875
transcript.pyannote[34].end 88.87784375
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 89.72159375
transcript.pyannote[35].end 90.02534375
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 91.00409375
transcript.pyannote[36].end 91.72971875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 92.18534375
transcript.pyannote[37].end 107.65971875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 107.96346875
transcript.pyannote[38].end 123.08346875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 123.45471875
transcript.pyannote[39].end 132.02721875
transcript.pyannote[40].speaker SPEAKER_05
transcript.pyannote[40].start 131.94284375
transcript.pyannote[40].end 151.95659375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 152.22659375
transcript.pyannote[41].end 160.02284375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 160.19159375
transcript.pyannote[42].end 161.18721875
transcript.pyannote[43].speaker SPEAKER_05
transcript.pyannote[43].start 161.18721875
transcript.pyannote[43].end 161.25471875
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 161.98034375
transcript.pyannote[44].end 164.10659375
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 164.56221875
transcript.pyannote[45].end 167.27909375
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 167.85284375
transcript.pyannote[46].end 170.01284375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 170.70471875
transcript.pyannote[47].end 179.96909375
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 178.97346875
transcript.pyannote[48].end 179.90159375
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 179.96909375
transcript.pyannote[49].end 180.03659375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 180.03659375
transcript.pyannote[50].end 180.82971875
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 180.82971875
transcript.pyannote[51].end 181.23471875
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 181.65659375
transcript.pyannote[52].end 183.14159375
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 183.41159375
transcript.pyannote[53].end 185.01471875
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 186.19596875
transcript.pyannote[54].end 187.57971875
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 188.62596875
transcript.pyannote[55].end 190.00971875
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 190.51596875
transcript.pyannote[56].end 192.37221875
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 192.92909375
transcript.pyannote[57].end 195.79784375
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 195.94971875
transcript.pyannote[58].end 198.09284375
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 199.03784375
transcript.pyannote[59].end 200.21909375
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 201.38346875
transcript.pyannote[60].end 202.59846875
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 203.44221875
transcript.pyannote[61].end 203.99909375
transcript.pyannote[62].speaker SPEAKER_05
transcript.pyannote[62].start 204.35346875
transcript.pyannote[62].end 207.00284375
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 207.17159375
transcript.pyannote[63].end 208.60596875
transcript.pyannote[64].speaker SPEAKER_05
transcript.pyannote[64].start 209.06159375
transcript.pyannote[64].end 211.45784375
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 212.35221875
transcript.pyannote[65].end 212.95971875
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 213.78659375
transcript.pyannote[66].end 215.44034375
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 216.01409375
transcript.pyannote[67].end 219.33846875
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 219.74346875
transcript.pyannote[68].end 220.35096875
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 221.38034375
transcript.pyannote[69].end 222.08909375
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 222.25784375
transcript.pyannote[70].end 223.72596875
transcript.pyannote[71].speaker SPEAKER_05
transcript.pyannote[71].start 224.16471875
transcript.pyannote[71].end 225.78471875
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 225.97034375
transcript.pyannote[72].end 227.37096875
transcript.pyannote[73].speaker SPEAKER_05
transcript.pyannote[73].start 227.94471875
transcript.pyannote[73].end 229.49721875
transcript.pyannote[74].speaker SPEAKER_05
transcript.pyannote[74].start 230.35784375
transcript.pyannote[74].end 230.93159375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 232.02846875
transcript.pyannote[75].end 233.15909375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 233.61471875
transcript.pyannote[76].end 256.19346875
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 255.56909375
transcript.pyannote[77].end 258.04971875
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 258.72471875
transcript.pyannote[78].end 261.34034375
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 261.64409375
transcript.pyannote[79].end 263.75346875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 263.75346875
transcript.pyannote[80].end 267.68534375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 269.96346875
transcript.pyannote[81].end 277.74284375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 277.97909375
transcript.pyannote[82].end 282.24846875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 284.81346875
transcript.pyannote[83].end 285.80909375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 287.27721875
transcript.pyannote[84].end 289.60596875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 289.75784375
transcript.pyannote[85].end 292.96409375
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 292.96409375
transcript.pyannote[86].end 297.21659375
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 297.58784375
transcript.pyannote[87].end 302.65034375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 303.74721875
transcript.pyannote[88].end 305.53596875
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 304.48971875
transcript.pyannote[89].end 309.48471875
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 309.95721875
transcript.pyannote[90].end 314.00721875
transcript.pyannote[91].speaker SPEAKER_05
transcript.pyannote[91].start 314.27721875
transcript.pyannote[91].end 314.76659375
transcript.pyannote[92].speaker SPEAKER_05
transcript.pyannote[92].start 315.17159375
transcript.pyannote[92].end 318.47909375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 319.69409375
transcript.pyannote[93].end 327.97971875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 328.14846875
transcript.pyannote[94].end 350.55846875
transcript.pyannote[95].speaker SPEAKER_05
transcript.pyannote[95].start 351.31784375
transcript.pyannote[95].end 353.29221875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 353.03909375
transcript.pyannote[96].end 353.24159375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 353.29221875
transcript.pyannote[97].end 358.11846875
transcript.pyannote[98].speaker SPEAKER_05
transcript.pyannote[98].start 358.11846875
transcript.pyannote[98].end 359.55284375
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 360.78471875
transcript.pyannote[99].end 363.01221875
transcript.pyannote[100].speaker SPEAKER_05
transcript.pyannote[100].start 363.18096875
transcript.pyannote[100].end 367.38284375
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 368.19284375
transcript.pyannote[101].end 370.18409375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 370.57221875
transcript.pyannote[102].end 374.11596875
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 373.27221875
transcript.pyannote[103].end 376.86659375
transcript.pyannote[104].speaker SPEAKER_05
transcript.pyannote[104].start 377.42346875
transcript.pyannote[104].end 379.21221875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 383.11034375
transcript.pyannote[105].end 390.29909375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 390.51846875
transcript.pyannote[106].end 390.97409375
transcript.pyannote[107].speaker SPEAKER_05
transcript.pyannote[107].start 390.97409375
transcript.pyannote[107].end 395.81721875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 395.85096875
transcript.pyannote[108].end 400.54221875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 401.47034375
transcript.pyannote[109].end 405.23346875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 405.90846875
transcript.pyannote[110].end 406.97159375
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 406.97159375
transcript.pyannote[111].end 412.32096875
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 412.87784375
transcript.pyannote[112].end 414.61596875
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 418.69971875
transcript.pyannote[113].end 419.23971875
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 419.83034375
transcript.pyannote[114].end 421.06221875
transcript.pyannote[115].speaker SPEAKER_05
transcript.pyannote[115].start 421.72034375
transcript.pyannote[115].end 422.47971875
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 422.81721875
transcript.pyannote[116].end 423.94784375
transcript.pyannote[117].speaker SPEAKER_05
transcript.pyannote[117].start 424.60596875
transcript.pyannote[117].end 430.42784375
transcript.pyannote[118].speaker SPEAKER_05
transcript.pyannote[118].start 430.68096875
transcript.pyannote[118].end 432.84096875
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 433.24596875
transcript.pyannote[119].end 436.84034375
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 437.22846875
transcript.pyannote[120].end 437.61659375
transcript.pyannote[121].speaker SPEAKER_05
transcript.pyannote[121].start 438.13971875
transcript.pyannote[121].end 443.55659375
transcript.pyannote[122].speaker SPEAKER_05
transcript.pyannote[122].start 444.01221875
transcript.pyannote[122].end 449.15909375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 449.15909375
transcript.pyannote[123].end 449.19284375
transcript.pyannote[124].speaker SPEAKER_05
transcript.pyannote[124].start 449.19284375
transcript.pyannote[124].end 450.77909375
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 449.20971875
transcript.pyannote[125].end 458.03534375
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 458.03534375
transcript.pyannote[126].end 458.06909375
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 458.06909375
transcript.pyannote[127].end 458.52471875
transcript.pyannote[128].speaker SPEAKER_05
transcript.pyannote[128].start 458.52471875
transcript.pyannote[128].end 460.36409375
transcript.pyannote[129].speaker SPEAKER_05
transcript.pyannote[129].start 460.48221875
transcript.pyannote[129].end 461.29221875
transcript.pyannote[130].speaker SPEAKER_05
transcript.pyannote[130].start 461.61284375
transcript.pyannote[130].end 462.38909375
transcript.pyannote[131].speaker SPEAKER_05
transcript.pyannote[131].start 462.69284375
transcript.pyannote[131].end 464.36346875
transcript.pyannote[132].speaker SPEAKER_05
transcript.pyannote[132].start 465.47721875
transcript.pyannote[132].end 466.79346875
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 467.14784375
transcript.pyannote[133].end 470.65784375
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 470.91096875
transcript.pyannote[134].end 483.43221875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 470.94471875
transcript.pyannote[135].end 473.10471875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 473.13846875
transcript.pyannote[136].end 475.41659375
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 475.41659375
transcript.pyannote[137].end 476.58096875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 476.58096875
transcript.pyannote[138].end 476.80034375
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 483.97221875
transcript.pyannote[139].end 497.03346875
transcript.pyannote[140].speaker SPEAKER_05
transcript.pyannote[140].start 496.61159375
transcript.pyannote[140].end 497.16846875
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 497.16846875
transcript.pyannote[141].end 497.47221875
transcript.pyannote[142].speaker SPEAKER_05
transcript.pyannote[142].start 497.47221875
transcript.pyannote[142].end 497.50596875
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 497.50596875
transcript.pyannote[143].end 498.09659375
transcript.pyannote[144].speaker SPEAKER_05
transcript.pyannote[144].start 498.09659375
transcript.pyannote[144].end 498.14721875
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 498.14721875
transcript.pyannote[145].end 498.21471875
transcript.pyannote[146].speaker SPEAKER_05
transcript.pyannote[146].start 498.21471875
transcript.pyannote[146].end 498.24846875
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 498.58596875
transcript.pyannote[147].end 498.61971875
transcript.pyannote[148].speaker SPEAKER_05
transcript.pyannote[148].start 498.61971875
transcript.pyannote[148].end 498.65346875
transcript.pyannote[149].speaker SPEAKER_04
transcript.pyannote[149].start 498.65346875
transcript.pyannote[149].end 498.68721875
transcript.pyannote[150].speaker SPEAKER_05
transcript.pyannote[150].start 498.68721875
transcript.pyannote[150].end 498.75471875
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 498.75471875
transcript.pyannote[151].end 499.00784375
transcript.pyannote[152].speaker SPEAKER_05
transcript.pyannote[152].start 499.00784375
transcript.pyannote[152].end 500.23971875
transcript.pyannote[153].speaker SPEAKER_04
transcript.pyannote[153].start 500.76284375
transcript.pyannote[153].end 500.77971875
transcript.pyannote[154].speaker SPEAKER_05
transcript.pyannote[154].start 500.77971875
transcript.pyannote[154].end 501.87659375
transcript.pyannote[155].speaker SPEAKER_05
transcript.pyannote[155].start 502.87221875
transcript.pyannote[155].end 503.31096875
transcript.pyannote[156].speaker SPEAKER_05
transcript.pyannote[156].start 503.78346875
transcript.pyannote[156].end 505.16721875
transcript.pyannote[157].speaker SPEAKER_05
transcript.pyannote[157].start 505.72409375
transcript.pyannote[157].end 508.96409375
transcript.pyannote[158].speaker SPEAKER_04
transcript.pyannote[158].start 508.96409375
transcript.pyannote[158].end 524.21909375
transcript.pyannote[159].speaker SPEAKER_05
transcript.pyannote[159].start 512.03534375
transcript.pyannote[159].end 512.50784375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 518.80221875
transcript.pyannote[160].end 519.03846875
transcript.pyannote[161].speaker SPEAKER_05
transcript.pyannote[161].start 519.03846875
transcript.pyannote[161].end 520.75971875
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 521.41784375
transcript.pyannote[162].end 532.97721875
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 526.71659375
transcript.pyannote[163].end 527.02034375
transcript.pyannote[164].speaker SPEAKER_04
transcript.pyannote[164].start 532.97721875
transcript.pyannote[164].end 533.02784375
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 533.02784375
transcript.pyannote[165].end 533.97284375
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 533.97284375
transcript.pyannote[166].end 538.24221875
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 535.81221875
transcript.pyannote[167].end 537.78659375
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 538.14096875
transcript.pyannote[168].end 538.20846875
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 538.24221875
transcript.pyannote[169].end 543.05159375
transcript.pyannote[170].speaker SPEAKER_05
transcript.pyannote[170].start 546.40971875
transcript.pyannote[170].end 547.42221875
transcript.pyannote[171].speaker SPEAKER_05
transcript.pyannote[171].start 547.67534375
transcript.pyannote[171].end 548.90721875
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 549.00846875
transcript.pyannote[172].end 559.75784375
transcript.pyannote[173].speaker SPEAKER_05
transcript.pyannote[173].start 560.87159375
transcript.pyannote[173].end 561.95159375
transcript.pyannote[174].speaker SPEAKER_05
transcript.pyannote[174].start 562.76159375
transcript.pyannote[174].end 563.31846875
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 564.33096875
transcript.pyannote[175].end 570.33846875
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 570.96284375
transcript.pyannote[176].end 571.92471875
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 572.83596875
transcript.pyannote[177].end 573.03846875
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 573.03846875
transcript.pyannote[178].end 575.24909375
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 575.24909375
transcript.pyannote[179].end 575.48534375
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 575.48534375
transcript.pyannote[180].end 575.97471875
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 576.68346875
transcript.pyannote[181].end 578.97846875
transcript.pyannote[182].speaker SPEAKER_04
transcript.pyannote[182].start 578.97846875
transcript.pyannote[182].end 579.29909375
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 580.10909375
transcript.pyannote[183].end 584.69909375
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 585.03659375
transcript.pyannote[184].end 586.15034375
transcript.pyannote[185].speaker SPEAKER_05
transcript.pyannote[185].start 586.15034375
transcript.pyannote[185].end 586.38659375
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 586.38659375
transcript.pyannote[186].end 586.42034375
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 586.43721875
transcript.pyannote[187].end 587.97284375
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 588.90096875
transcript.pyannote[188].end 589.57596875
transcript.pyannote[189].speaker SPEAKER_04
transcript.pyannote[189].start 590.20034375
transcript.pyannote[189].end 592.68096875
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 593.47409375
transcript.pyannote[190].end 594.26721875
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 594.38534375
transcript.pyannote[191].end 595.09409375
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 596.96721875
transcript.pyannote[192].end 597.49034375
transcript.pyannote[193].speaker SPEAKER_05
transcript.pyannote[193].start 597.49034375
transcript.pyannote[193].end 597.69284375
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 597.69284375
transcript.pyannote[194].end 598.03034375
transcript.pyannote[195].speaker SPEAKER_05
transcript.pyannote[195].start 598.03034375
transcript.pyannote[195].end 598.38471875
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 598.65471875
transcript.pyannote[196].end 600.52784375
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 600.52784375
transcript.pyannote[197].end 600.54471875
transcript.pyannote[198].speaker SPEAKER_05
transcript.pyannote[198].start 600.54471875
transcript.pyannote[198].end 602.35034375
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 602.35034375
transcript.pyannote[199].end 602.38409375
transcript.pyannote[200].speaker SPEAKER_05
transcript.pyannote[200].start 603.64971875
transcript.pyannote[200].end 604.98284375
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 604.03784375
transcript.pyannote[201].end 613.48784375
transcript.pyannote[202].speaker SPEAKER_05
transcript.pyannote[202].start 607.09221875
transcript.pyannote[202].end 607.95284375
transcript.pyannote[203].speaker SPEAKER_05
transcript.pyannote[203].start 610.92284375
transcript.pyannote[203].end 613.31909375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 613.31909375
transcript.pyannote[204].end 613.40346875
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 613.96034375
transcript.pyannote[205].end 620.03534375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 614.01096875
transcript.pyannote[206].end 614.02784375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 614.02784375
transcript.pyannote[207].end 615.95159375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 615.95159375
transcript.pyannote[208].end 615.96846875
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 620.13659375
transcript.pyannote[209].end 621.31784375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 622.00971875
transcript.pyannote[210].end 623.46096875
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 624.00096875
transcript.pyannote[211].end 624.01784375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 624.01784375
transcript.pyannote[212].end 641.73659375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 632.97846875
transcript.pyannote[213].end 633.28221875
transcript.pyannote[214].speaker SPEAKER_05
transcript.pyannote[214].start 638.39534375
transcript.pyannote[214].end 639.52596875
transcript.pyannote[215].speaker SPEAKER_05
transcript.pyannote[215].start 641.73659375
transcript.pyannote[215].end 644.33534375
transcript.pyannote[216].speaker SPEAKER_05
transcript.pyannote[216].start 645.31409375
transcript.pyannote[216].end 645.88784375
transcript.pyannote[217].speaker SPEAKER_05
transcript.pyannote[217].start 646.12409375
transcript.pyannote[217].end 655.03409375
transcript.pyannote[218].speaker SPEAKER_05
transcript.pyannote[218].start 655.92846875
transcript.pyannote[218].end 659.52284375
transcript.pyannote[219].speaker SPEAKER_05
transcript.pyannote[219].start 660.51846875
transcript.pyannote[219].end 661.56471875
transcript.pyannote[220].speaker SPEAKER_05
transcript.pyannote[220].start 662.10471875
transcript.pyannote[220].end 669.68159375
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 667.62284375
transcript.pyannote[221].end 669.42846875
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 669.68159375
transcript.pyannote[222].end 669.69846875
transcript.pyannote[223].speaker SPEAKER_05
transcript.pyannote[223].start 669.69846875
transcript.pyannote[223].end 670.37346875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 669.78284375
transcript.pyannote[224].end 671.68971875
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 670.89659375
transcript.pyannote[225].end 671.23409375
transcript.pyannote[226].speaker SPEAKER_05
transcript.pyannote[226].start 671.68971875
transcript.pyannote[226].end 672.02721875
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 672.02721875
transcript.pyannote[227].end 672.66846875
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 672.66846875
transcript.pyannote[228].end 677.17409375
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 674.79471875
transcript.pyannote[229].end 675.30096875
transcript.pyannote[230].speaker SPEAKER_05
transcript.pyannote[230].start 677.32596875
transcript.pyannote[230].end 677.69721875
transcript.pyannote[231].speaker SPEAKER_05
transcript.pyannote[231].start 678.15284375
transcript.pyannote[231].end 679.06409375
transcript.pyannote[232].speaker SPEAKER_05
transcript.pyannote[232].start 679.40159375
transcript.pyannote[232].end 680.29596875
transcript.pyannote[233].speaker SPEAKER_05
transcript.pyannote[233].start 680.61659375
transcript.pyannote[233].end 681.86534375
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 682.38846875
transcript.pyannote[234].end 682.65846875
transcript.pyannote[235].speaker SPEAKER_05
transcript.pyannote[235].start 683.21534375
transcript.pyannote[235].end 685.64534375
transcript.pyannote[236].speaker SPEAKER_05
transcript.pyannote[236].start 686.48909375
transcript.pyannote[236].end 687.68721875
transcript.pyannote[237].speaker SPEAKER_05
transcript.pyannote[237].start 688.36221875
transcript.pyannote[237].end 689.05409375
transcript.pyannote[238].speaker SPEAKER_05
transcript.pyannote[238].start 689.67846875
transcript.pyannote[238].end 693.30659375
transcript.pyannote[239].speaker SPEAKER_05
transcript.pyannote[239].start 693.40784375
transcript.pyannote[239].end 694.01534375
transcript.pyannote[240].speaker SPEAKER_05
transcript.pyannote[240].start 694.55534375
transcript.pyannote[240].end 696.05721875
transcript.pyannote[241].speaker SPEAKER_05
transcript.pyannote[241].start 696.42846875
transcript.pyannote[241].end 698.36909375
transcript.pyannote[242].speaker SPEAKER_05
transcript.pyannote[242].start 698.52096875
transcript.pyannote[242].end 699.44909375
transcript.pyannote[243].speaker SPEAKER_05
transcript.pyannote[243].start 700.17471875
transcript.pyannote[243].end 701.25471875
transcript.pyannote[244].speaker SPEAKER_05
transcript.pyannote[244].start 701.54159375
transcript.pyannote[244].end 702.13221875
transcript.pyannote[245].speaker SPEAKER_05
transcript.pyannote[245].start 702.75659375
transcript.pyannote[245].end 704.27534375
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 704.59596875
transcript.pyannote[246].end 705.33846875
transcript.pyannote[247].speaker SPEAKER_05
transcript.pyannote[247].start 705.52409375
transcript.pyannote[247].end 706.18221875
transcript.pyannote[248].speaker SPEAKER_05
transcript.pyannote[248].start 706.94159375
transcript.pyannote[248].end 708.02159375
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 708.25784375
transcript.pyannote[249].end 709.10159375
transcript.pyannote[250].speaker SPEAKER_05
transcript.pyannote[250].start 709.20284375
transcript.pyannote[250].end 709.87784375
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 710.33346875
transcript.pyannote[251].end 711.34596875
transcript.pyannote[252].speaker SPEAKER_05
transcript.pyannote[252].start 712.88159375
transcript.pyannote[252].end 713.48909375
transcript.pyannote[253].speaker SPEAKER_05
transcript.pyannote[253].start 713.91096875
transcript.pyannote[253].end 714.72096875
transcript.pyannote[254].speaker SPEAKER_05
transcript.pyannote[254].start 715.05846875
transcript.pyannote[254].end 716.93159375
transcript.pyannote[255].speaker SPEAKER_05
transcript.pyannote[255].start 717.64034375
transcript.pyannote[255].end 720.89721875
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 720.89721875
transcript.pyannote[256].end 720.91409375
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 721.53846875
transcript.pyannote[257].end 742.86846875
transcript.pyannote[258].speaker SPEAKER_05
transcript.pyannote[258].start 740.11784375
transcript.pyannote[258].end 741.29909375
transcript.pyannote[259].speaker SPEAKER_05
transcript.pyannote[259].start 743.23971875
transcript.pyannote[259].end 743.25659375
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 743.25659375
transcript.pyannote[260].end 761.86971875
transcript.pyannote[261].speaker SPEAKER_05
transcript.pyannote[261].start 745.70346875
transcript.pyannote[261].end 745.97346875
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 745.97346875
transcript.pyannote[262].end 746.19284375
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 746.26034375
transcript.pyannote[263].end 747.01971875
transcript.pyannote[264].speaker SPEAKER_05
transcript.pyannote[264].start 752.25096875
transcript.pyannote[264].end 752.74034375
transcript.pyannote[265].speaker SPEAKER_05
transcript.pyannote[265].start 753.31409375
transcript.pyannote[265].end 753.97221875
transcript.pyannote[266].speaker SPEAKER_05
transcript.pyannote[266].start 754.00596875
transcript.pyannote[266].end 754.03971875
transcript.pyannote[267].speaker SPEAKER_05
transcript.pyannote[267].start 754.10721875
transcript.pyannote[267].end 754.12409375
transcript.pyannote[268].speaker SPEAKER_05
transcript.pyannote[268].start 755.32221875
transcript.pyannote[268].end 755.57534375
transcript.pyannote[269].speaker SPEAKER_05
transcript.pyannote[269].start 755.59221875
transcript.pyannote[269].end 755.60909375
transcript.pyannote[270].speaker SPEAKER_05
transcript.pyannote[270].start 757.11096875
transcript.pyannote[270].end 757.88721875
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 762.15659375
transcript.pyannote[271].end 762.84846875
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 762.96659375
transcript.pyannote[272].end 766.98284375
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 766.64534375
transcript.pyannote[273].end 774.18846875
transcript.pyannote[274].speaker SPEAKER_00
transcript.pyannote[274].start 774.66096875
transcript.pyannote[274].end 775.75784375
transcript.pyannote[275].speaker SPEAKER_05
transcript.pyannote[275].start 775.08284375
transcript.pyannote[275].end 775.43721875
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 775.87596875
transcript.pyannote[276].end 776.06159375
transcript.pyannote[277].speaker SPEAKER_05
transcript.pyannote[277].start 776.06159375
transcript.pyannote[277].end 776.07846875
transcript.pyannote[278].speaker SPEAKER_00
transcript.pyannote[278].start 776.07846875
transcript.pyannote[278].end 776.09534375
transcript.pyannote[279].speaker SPEAKER_05
transcript.pyannote[279].start 776.44971875
transcript.pyannote[279].end 776.50034375
transcript.pyannote[280].speaker SPEAKER_00
transcript.pyannote[280].start 776.50034375
transcript.pyannote[280].end 777.07409375
transcript.pyannote[281].speaker SPEAKER_05
transcript.pyannote[281].start 777.07409375
transcript.pyannote[281].end 777.09096875
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 778.42409375
transcript.pyannote[282].end 778.96409375
transcript.pyannote[283].speaker SPEAKER_05
transcript.pyannote[283].start 778.96409375
transcript.pyannote[283].end 779.30159375
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 779.65596875
transcript.pyannote[284].end 780.78659375
transcript.pyannote[285].speaker SPEAKER_05
transcript.pyannote[285].start 781.36034375
transcript.pyannote[285].end 782.42346875
transcript.whisperx[0].start 11.467
transcript.whisperx[0].end 17.709
transcript.whisperx[0].text 謝謝主席以及各位先進有請金廣內的黃主委有請黃主委委員長
transcript.whisperx[1].start 25.41
transcript.whisperx[1].end 40.362
transcript.whisperx[1].text 黃主委早今天是ETF大家眾所矚目的ETF940今天正式上市嗎?是嗎?是我看這個料蠻大的
transcript.whisperx[2].start 43.248
transcript.whisperx[2].end 43.368
transcript.whisperx[2].text 賴士葆
transcript.whisperx[3].start 63.099
transcript.whisperx[3].end 91.551
transcript.whisperx[3].text 一攬子的貨幣的概念一個投資組合的概念用這樣的概念來投資買ETF相對的是比較屬於長期的相對的比較屬於穩健的可是我們看到現在來看的話ETF幾乎已經變值了變成是今天這個量很大欸這個動輒幾十萬張我不知道這是不是當痛還是怎麼樣你要不要來評論一下
transcript.whisperx[4].start 92.679
transcript.whisperx[4].end 119.059
transcript.whisperx[4].text 新聞委員其實您才是專家了我想商品本身是中性的那它的確它的性質跟您所說的是一樣那重點就是希望我們投信在或是券商在IPO階段其實要讓投資人瞭解商品的特質跟它的風險那也要投資人自己也要瞭解任何商品都有它的這些相關的風險我們前兩天也發了新聞稿
transcript.whisperx[5].start 119.879
transcript.whisperx[5].end 122.541
transcript.whisperx[5].text 我請教你要不要再對社會大眾再講一遍還是說你覺得尊重市場不需要講
transcript.whisperx[6].start 140.633
transcript.whisperx[6].end 142.354
transcript.whisperx[6].text 議員提到你所提到的這些重點
transcript.whisperx[7].start 162.046
transcript.whisperx[7].end 163.527
transcript.whisperx[7].text 我們看到大家很關心社會的打仗
transcript.whisperx[8].start 188.643
transcript.whisperx[8].end 191.845
transcript.whisperx[8].text 我現在目前移工有70幾萬就有8萬個移工逃逸而且
transcript.whisperx[9].start 213.88
transcript.whisperx[9].end 227.254
transcript.whisperx[9].text 市場上傳言以一共的帳戶平均一個人大概3本左右的帳戶所以如果人家要買的話一本帳戶可以賣到30萬到40萬這一部分來講的話你有什麼看法
transcript.whisperx[10].start 232.039
transcript.whisperx[10].end 234.48
transcript.whisperx[10].text 你們有沒有做成決定
transcript.whisperx[11].start 259.109
transcript.whisperx[11].end 282.019
transcript.whisperx[11].text 這個移工如果正式離境了要接近他的帳戶有沒有做這點目前還沒有 是不是可以請莊局長給您做一個說明 謝謝包委員 其實有人有這樣的提議啦那不過這個部分的話我們必須還要再跟勞動部再協商說 是不是合有這樣子的決定什麼時候可以決定
transcript.whisperx[12].start 287.618
transcript.whisperx[12].end 302.399
transcript.whisperx[12].text 因為近期會開會那之前因為現在已經發現到他的帳戶被拿去做詐騙的一個工具所以我們要有效防堵的話其實這個是一條路啊那不是
transcript.whisperx[13].start 304.387
transcript.whisperx[13].end 317.718
transcript.whisperx[13].text 有沒有其他任何的考量說會不會侵犯到他的因為他已經離開了嘛他來這裡當然都是一個契約行為比如說他待兩年幾年然後回去了回去了當然這個帳戶把他close掉
transcript.whisperx[14].start 320.244
transcript.whisperx[14].end 334.397
transcript.whisperx[14].text 對,報告委員我們之前確實有因為這樣子有人有這樣的建議有跟勞動部這邊洽談不過勞動部還是認為說也許有些移工離境了之後他很可能還會有需要有這樣子的
transcript.whisperx[15].start 335.718
transcript.whisperx[15].end 336.059
transcript.whisperx[15].text 一個月內會有結果嗎?
transcript.whisperx[16].start 360.894
transcript.whisperx[16].end 361.634
transcript.whisperx[16].text 請問兩位,什麼時候可以凍結他的賬戶?
transcript.whisperx[17].start 383.137
transcript.whisperx[17].end 404.993
transcript.whisperx[17].text 委員不好意思我可以再你明確這個凍結是指他在臺灣的時候還是在離開之後對是離開之後或者在如果他的他這個帳戶已經參與犯罪了當然凍結那如果是在臺灣工作的時候將警示帳戶的時候就可以凍結警示帳戶那警示要檢調單位給我們指示給銀行指示
transcript.whisperx[18].start 406.404
transcript.whisperx[18].end 414.588
transcript.whisperx[18].text 好,兩位請,我要請那個財政部的莊部長還有內政部的花次長我要請莊部長跟花次長委員好兩位長官好喔你看一下先請花次長我們看到蔡政府蔡總統說社會注財目標是20萬戶嘛對不對現在看起來大概飄飄了吧應該
transcript.whisperx[19].start 433.305
transcript.whisperx[19].end 454.66
transcript.whisperx[19].text 沒有?沒有沒有,按你的數字,你總共連既有的新環公的加新進總的加以絕標代開工的規劃總的通通給你,啊不能算進來,12萬戶嗎?這是你們的資料嗎?各位網友還有包租代管的部分,這裡面不含包租代管包租代管多少?
transcript.whisperx[20].start 455.385
transcript.whisperx[20].end 483.175
transcript.whisperx[20].text 現在已經7萬5千戶左右了哎呀各位各位看官看進來齁真正新建真正新完工的就是2萬2千戶啊加一個既有的6千戶還不到3萬戶啊20萬個食物盤而已啊阿你講你怎麼可以把新建中的放加進來以絕標代開工的還沒開工的新建中的還要包括你全土地都算
transcript.whisperx[21].start 484.002
transcript.whisperx[21].end 484.742
transcript.whisperx[21].text 他還沒有還沒有換句話說可以讓八年的
transcript.whisperx[22].start 502.935
transcript.whisperx[22].end 509.16
transcript.whisperx[22].text 我們當然是認識社會啦社會的人當然程度比你高啦我們的認知就是
transcript.whisperx[23].start 529.855
transcript.whisperx[23].end 542.686
transcript.whisperx[23].text 蓋好給我住才算啊結果你都還在蓋還給我算蓋房子房子就需要時間我們看要來的賴政府我不知道花次長會不會升官或者是要在別的地方去我不知道
transcript.whisperx[24].start 546.445
transcript.whisperx[24].end 546.765
transcript.whisperx[24].text 我請問你啊
transcript.whisperx[25].start 572.881
transcript.whisperx[25].end 602.051
transcript.whisperx[25].text 你現在來講的話我們住都中心你的總資產多少?你的淨資產多少?住都中心現在大概有四五百億吧四五百億喔那你要融資一兆但是這是這個背後是可百分之百的這個那個自償的啊這個我是很擔心你到時候發綠色什麼時候開始發?
transcript.whisperx[26].start 603.683
transcript.whisperx[26].end 603.863
transcript.whisperx[26].text 主席
transcript.whisperx[27].start 624.059
transcript.whisperx[27].end 627.402
transcript.whisperx[27].text 您們有準備要蓋社會住宅的時候要發這個債嗎?我想這個部分我們會跟內政部以及金管會來做詳細的討論什麼時候會有結果?這個部分時間我們還不是還沒有對對對所以現在都還沒有結果我們還在對對對會在討論的是我們是還更在意的那個市長
transcript.whisperx[28].start 645.353
transcript.whisperx[28].end 658.294
transcript.whisperx[28].text 就是你現在就是常常這樣一圈就圈這個地就變成你要設備住宅一圈圈那個地設備住宅那個交通影響評估都沒有做好我在這裡最少問了蘇貞昌院長兩次
transcript.whisperx[29].start 660.56
transcript.whisperx[29].end 672.426
transcript.whisperx[29].text 他公開承諾你們正式要劃定身為住宅的時候一定要做交通影響評估結果你們幾乎都沒有我一定會做我再去跟委員報告小問題好了你先請回那個莊部長我請問你你們的官務署
transcript.whisperx[30].start 686.534
transcript.whisperx[30].end 711.13
transcript.whisperx[30].text 或者你們財政部啊講到了加熱煙、電子煙禁自由貿易港區居然說是可以可是我總書信的時候問學院內容部長部長說這個禁止啊結果在這裡面有好幾噸在那裡面加熱煙、電子煙電子煙是違法加熱煙要省額到目前為止
transcript.whisperx[31].start 712.91
transcript.whisperx[31].end 720.575
transcript.whisperx[31].text 我秀啦!廣告都有啊!電子煙加了一堆啊!為什麼電子你們都可以賣呢?你們都不抓?請問有沒有取締?
transcript.whisperx[32].start 721.967
transcript.whisperx[32].end 742.207
transcript.whisperx[32].text 有這個第一個跟委員報告加熱煙就煙害防治法裡面他是對指定煙品公告以後要經過健康風險評估才能目前是0目前是沒有對沒錯那電子煙並不是屬於這個公告裡面指定的一個煙品電子煙絕對禁止對是的
transcript.whisperx[33].start 743.628
transcript.whisperx[33].end 759.355
transcript.whisperx[33].text 我做你取締的怎麼樣啊?取締結果?這個部分,取締的部分有做啊。這個部分是有做的。你們要報告給我們好不好?取締數量多不多嗎?好,那我們詳細的資料。你先回答一下多不多?數量一點點還是數量很多?書面給您資料還是?
transcript.whisperx[34].start 762.476
transcript.whisperx[34].end 780.248
transcript.whisperx[34].text 對,但是你大致上這個數量多不多?好數量,那署長這邊可以說跟委員報告大概煙彈的部分有八十四萬啦,八十四萬個piece那如果是西十七的話大概是四十九萬多那很多喔?是那很多喔?好吧把這個給我齁好,謝謝委員賴委員麻煩一下