iVOD / 168192

Field Value
IVOD_ID 168192
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168192
日期 2026-04-02
會議資料.會議代碼 公聽會-2026032557
會議資料.會議代碼:str 舉行「臺灣未來帳戶特別條例草案」公聽會。
會議資料.屆 11
會議資料.會期 5
會議資料.種類 公聽會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 立法院第11屆第5會期社會福利及衛生環境委員會公聽會(事由:舉行「臺灣未來帳戶特別條例草案」公聽會。)
影片種類 Clip
開始時間 2026-04-02T11:25:31+08:00
結束時間 2026-04-02T11:32:31+08:00
影片長度 00:07:00
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/41f920f92d9b80094fd5923a8691cf034fac1a7ef641d09d1053659dc95aead56c52fa203661293f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王正旭
委員發言時間 11:25:31 - 11:32:31
會議時間 2026-04-02T09:00:00+08:00
會議名稱 立法院第11屆第5會期社會福利及衛生環境委員會公聽會(事由:舉行「臺灣未來帳戶特別條例草案」公聽會。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 7.60784375
transcript.pyannote[0].end 15.65721875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 15.79221875
transcript.pyannote[1].end 15.80909375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 15.87659375
transcript.pyannote[2].end 19.01534375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 19.60596875
transcript.pyannote[3].end 21.79971875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 22.28909375
transcript.pyannote[4].end 25.63034375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 26.42346875
transcript.pyannote[5].end 28.73534375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 29.10659375
transcript.pyannote[6].end 32.00909375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 32.31284375
transcript.pyannote[7].end 34.40534375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 34.86096875
transcript.pyannote[8].end 38.10096875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 38.33721875
transcript.pyannote[9].end 38.84346875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 39.45096875
transcript.pyannote[10].end 42.89346875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 43.18034375
transcript.pyannote[11].end 43.77096875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 43.99034375
transcript.pyannote[12].end 47.02784375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 47.41596875
transcript.pyannote[13].end 47.90534375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 48.58034375
transcript.pyannote[14].end 49.05284375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 49.98096875
transcript.pyannote[15].end 53.25471875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 53.98034375
transcript.pyannote[16].end 57.25409375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 57.60846875
transcript.pyannote[17].end 58.87409375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 60.35909375
transcript.pyannote[18].end 61.59096875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 62.48534375
transcript.pyannote[19].end 63.36284375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 63.97034375
transcript.pyannote[20].end 68.29034375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 68.50971875
transcript.pyannote[21].end 69.55596875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 69.92721875
transcript.pyannote[22].end 71.76659375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 72.96471875
transcript.pyannote[23].end 73.38659375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 73.58909375
transcript.pyannote[24].end 76.66034375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 77.38596875
transcript.pyannote[25].end 81.52034375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 81.80721875
transcript.pyannote[26].end 84.94596875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 85.31721875
transcript.pyannote[27].end 87.27471875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 88.05096875
transcript.pyannote[28].end 88.21971875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 88.89471875
transcript.pyannote[29].end 91.25721875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 91.66221875
transcript.pyannote[30].end 93.45096875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 93.58596875
transcript.pyannote[31].end 94.51409375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 95.23971875
transcript.pyannote[32].end 98.14221875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 98.32784375
transcript.pyannote[33].end 99.59346875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 100.38659375
transcript.pyannote[34].end 101.97284375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 102.91784375
transcript.pyannote[35].end 104.36909375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 104.53784375
transcript.pyannote[36].end 106.02284375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 106.25909375
transcript.pyannote[37].end 107.62596875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 108.23346875
transcript.pyannote[38].end 111.11909375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 111.37221875
transcript.pyannote[39].end 111.92909375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 112.14846875
transcript.pyannote[40].end 113.59971875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 113.97096875
transcript.pyannote[41].end 115.86096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 116.11409375
transcript.pyannote[42].end 116.75534375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 116.87346875
transcript.pyannote[43].end 118.44284375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 118.89846875
transcript.pyannote[44].end 119.97846875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 120.26534375
transcript.pyannote[45].end 125.15909375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 125.61471875
transcript.pyannote[46].end 128.43284375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 128.65221875
transcript.pyannote[47].end 135.01409375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 135.45284375
transcript.pyannote[48].end 138.62534375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 138.97971875
transcript.pyannote[49].end 141.39284375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 141.69659375
transcript.pyannote[50].end 144.37971875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 144.76784375
transcript.pyannote[51].end 145.56096875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 145.94909375
transcript.pyannote[52].end 147.61971875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 148.41284375
transcript.pyannote[53].end 149.62784375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 149.81346875
transcript.pyannote[54].end 150.87659375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 151.18034375
transcript.pyannote[55].end 153.08721875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 153.22221875
transcript.pyannote[56].end 154.57221875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 155.26409375
transcript.pyannote[57].end 157.37346875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 157.39034375
transcript.pyannote[58].end 160.98471875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 161.35596875
transcript.pyannote[59].end 164.00534375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 164.24159375
transcript.pyannote[60].end 168.37596875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 169.11846875
transcript.pyannote[61].end 176.89784375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 177.26909375
transcript.pyannote[62].end 182.60159375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 182.92221875
transcript.pyannote[63].end 184.30596875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 184.62659375
transcript.pyannote[64].end 186.60096875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 186.75284375
transcript.pyannote[65].end 187.20846875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 187.51221875
transcript.pyannote[66].end 188.65971875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 188.98034375
transcript.pyannote[67].end 191.91659375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 192.25409375
transcript.pyannote[68].end 195.40971875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 195.78096875
transcript.pyannote[69].end 198.29534375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 198.56534375
transcript.pyannote[70].end 200.72534375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 200.99534375
transcript.pyannote[71].end 204.42096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 204.57284375
transcript.pyannote[72].end 207.13784375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 207.52596875
transcript.pyannote[73].end 211.23846875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 211.57596875
transcript.pyannote[74].end 211.99784375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 212.84159375
transcript.pyannote[75].end 214.83284375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 215.01846875
transcript.pyannote[76].end 215.52471875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 215.91284375
transcript.pyannote[77].end 217.16159375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 217.63409375
transcript.pyannote[78].end 218.10659375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 218.76471875
transcript.pyannote[79].end 219.28784375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 219.47346875
transcript.pyannote[80].end 220.01346875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 220.31721875
transcript.pyannote[81].end 224.19846875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 224.78909375
transcript.pyannote[82].end 226.99971875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 227.53971875
transcript.pyannote[83].end 237.09096875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 237.58034375
transcript.pyannote[84].end 240.70221875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 241.17471875
transcript.pyannote[85].end 243.21659375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 243.53721875
transcript.pyannote[86].end 244.36409375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 244.78596875
transcript.pyannote[87].end 245.32596875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 245.61284375
transcript.pyannote[88].end 246.05159375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 246.11909375
transcript.pyannote[89].end 251.70471875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 252.59909375
transcript.pyannote[90].end 255.07971875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 255.63659375
transcript.pyannote[91].end 256.98659375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 257.17221875
transcript.pyannote[92].end 260.39534375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 260.78346875
transcript.pyannote[93].end 262.16721875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 262.28534375
transcript.pyannote[94].end 265.42409375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 265.69409375
transcript.pyannote[95].end 266.09909375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 266.57159375
transcript.pyannote[96].end 267.71909375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 268.27596875
transcript.pyannote[97].end 272.88284375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 273.18659375
transcript.pyannote[98].end 276.57846875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 276.89909375
transcript.pyannote[99].end 280.40909375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 280.66221875
transcript.pyannote[100].end 282.67034375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 283.04159375
transcript.pyannote[101].end 284.98221875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 285.28596875
transcript.pyannote[102].end 287.22659375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 287.54721875
transcript.pyannote[103].end 290.75346875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 291.22596875
transcript.pyannote[104].end 292.86284375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 293.18346875
transcript.pyannote[105].end 294.49971875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 294.75284375
transcript.pyannote[106].end 295.19159375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 295.41096875
transcript.pyannote[107].end 296.01846875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 296.38971875
transcript.pyannote[108].end 299.19096875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 299.25846875
transcript.pyannote[109].end 303.57846875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 303.96659375
transcript.pyannote[110].end 305.33346875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 305.75534375
transcript.pyannote[111].end 307.81409375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 308.30346875
transcript.pyannote[112].end 308.87721875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 309.24846875
transcript.pyannote[113].end 313.26471875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 313.56846875
transcript.pyannote[114].end 315.13784375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 315.59346875
transcript.pyannote[115].end 316.96034375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 317.11221875
transcript.pyannote[116].end 318.51284375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 318.59721875
transcript.pyannote[117].end 320.11596875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 320.94284375
transcript.pyannote[118].end 324.03096875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 324.33471875
transcript.pyannote[119].end 325.95471875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 326.44409375
transcript.pyannote[120].end 327.89534375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 327.96284375
transcript.pyannote[121].end 330.71346875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 331.06784375
transcript.pyannote[122].end 332.72159375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 332.92409375
transcript.pyannote[123].end 342.28971875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 342.66096875
transcript.pyannote[124].end 342.99846875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 343.15034375
transcript.pyannote[125].end 345.74909375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 346.12034375
transcript.pyannote[126].end 348.66846875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 349.00596875
transcript.pyannote[127].end 350.57534375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 350.77784375
transcript.pyannote[128].end 352.95471875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 353.46096875
transcript.pyannote[129].end 355.90784375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 356.11034375
transcript.pyannote[130].end 357.34221875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 357.56159375
transcript.pyannote[131].end 359.90721875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 360.21096875
transcript.pyannote[132].end 362.64096875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 363.19784375
transcript.pyannote[133].end 367.39971875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 367.53471875
transcript.pyannote[134].end 369.69471875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 370.06596875
transcript.pyannote[135].end 372.73221875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 373.05284375
transcript.pyannote[136].end 373.35659375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 373.49159375
transcript.pyannote[137].end 375.76971875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 376.15784375
transcript.pyannote[138].end 377.50784375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 377.94659375
transcript.pyannote[139].end 379.53284375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 379.76909375
transcript.pyannote[140].end 380.86596875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 381.15284375
transcript.pyannote[141].end 383.07659375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 383.29596875
transcript.pyannote[142].end 386.87346875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 386.90721875
transcript.pyannote[143].end 388.13909375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 388.29096875
transcript.pyannote[144].end 389.86034375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 390.06284375
transcript.pyannote[145].end 390.68721875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 391.02471875
transcript.pyannote[146].end 392.08784375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 392.49284375
transcript.pyannote[147].end 393.10034375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 393.37034375
transcript.pyannote[148].end 394.04534375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 394.31534375
transcript.pyannote[149].end 396.08721875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 396.23909375
transcript.pyannote[150].end 397.57221875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 397.84221875
transcript.pyannote[151].end 399.10784375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 399.24284375
transcript.pyannote[152].end 400.60971875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 400.91346875
transcript.pyannote[153].end 401.70659375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 401.85846875
transcript.pyannote[154].end 402.73596875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 402.92159375
transcript.pyannote[155].end 405.14909375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 405.41909375
transcript.pyannote[156].end 410.93721875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 411.54471875
transcript.pyannote[157].end 413.43471875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 413.83971875
transcript.pyannote[158].end 415.83096875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 416.57346875
transcript.pyannote[159].end 417.97409375
transcript.whisperx[0].start 7.628
transcript.whisperx[0].end 28.329
transcript.whisperx[0].text 好 非常謝謝我們今天的召委主席安排台灣二人帳戶特別條例的公聽會也很感謝現場這麼多的專家學者一起來針對這個議題根據我們所擬定的四個大綱做了非常深入而且非常精彩的一些
transcript.whisperx[1].start 29.765
transcript.whisperx[1].end 52.304
transcript.whisperx[1].text 讓我學習的非常多的內容那我們也很謝謝我們政府官員都在現場聆聽那希望對未來整個在做這個法律的過程裡面有更好更深入的希望達到要解決問題的這個立法的內容那我不知道我是在民國四十幾年出生的
transcript.whisperx[2].start 54.045
transcript.whisperx[2].end 76.115
transcript.whisperx[2].text 嘉義的農村子弟我的第一桶金就是我的未來這個帳戶裡面是分到一點點的農地我是長孫又是長子所以我有機會在那個時候的制度之下有機會得到我的第一桶金就是小小的農地
transcript.whisperx[3].start 77.423
transcript.whisperx[3].end 105.369
transcript.whisperx[3].text 那個時候那個時代大家都很清楚就是如果是農村的話就有機會呢去因為這樣的家庭的支持之下得到第一桶金那可是我們現在也知道時代的改變政府用那麼多的力量希望來讓我們的未來下一代有他的第一桶金有未來的丈夫那這樣的對象到底以之前的家庭制度去處理的這個未來
transcript.whisperx[4].start 106.829
transcript.whisperx[4].end 112.824
transcript.whisperx[4].text 帳戶或第一桶金跟再過來我們要支持的這些對象有沒有差異性
transcript.whisperx[5].start 113.993
transcript.whisperx[5].end 141.148
transcript.whisperx[5].text 相信每一個家庭都有他對於他的孩子的出生帶來很多的喜悅也很希望他能夠順利的成長也讓他能夠有好的這個在他成長過程裡面可以免於其他的一些帶來的衝擊所以我相信這個議題是非常的重要可是哪些的對象是國家特別要去關注的那今天很多專家學者也都有提供
transcript.whisperx[6].start 141.701
transcript.whisperx[6].end 164.771
transcript.whisperx[6].text 很多的內容的這些讓我們知道如何在假設未來的帳戶特別條例有機會進入到更周全的討論的時候那我們應該從哪一些立法重點去著眼那我就針對於小小的一些內容跟大家做一點分享那在這個條例裡面第7條就是針對於
transcript.whisperx[7].start 169.247
transcript.whisperx[7].end 188.035
transcript.whisperx[7].text 希望這個未來的賬戶在13年為期程所需經費上限為新台幣4500億元來做這個了解跟討論他在立法說明裡面他就特別提到說目前台灣0到12歲約有226萬人那一開始啟動的資金就1130億就是一開始就是需要有這樣1130億的這個資金來特別支應
transcript.whisperx[8].start 198.601
transcript.whisperx[8].end 217.948
transcript.whisperx[8].text 那每一年是會需要266億所以三年裡面會預計到4500億左右這樣的需求那這樣的需求到底會不會對於其他的醫療預算造成排擠大家剛剛很多專家學者也都提了非常多的了解
transcript.whisperx[9].start 218.886
transcript.whisperx[9].end 242.766
transcript.whisperx[9].text 還有如果出現排擠的話那應該怎麼樣來處理會是比較適合這邊我們可以看一個數據貨物部統計出來我們的兒少預算的占比在這幾年來目前我國兒少預算是有5923億元那這個主點增加占的GDP差不多是2%左右
transcript.whisperx[10].start 244.83
transcript.whisperx[10].end 264.642
transcript.whisperx[10].text 那如果對比OECD國家平均照顧兒童兒少的話是6%的水平代表說我們真的還是有需要更多的預算來讓我們的兒少能夠順利的成長那這個6%2%的5923億元裡面呢福利佔了19%健康6%教育還是最大中佔了73%那保護
transcript.whisperx[11].start 273.52
transcript.whisperx[11].end 294.255
transcript.whisperx[11].text 這個兒童孫力成長相關的這個機制是1%所以如果我們希望能夠逐年來擴大兒少預算這是非常理所當然的事情那我們很期待衛福部這邊未來各個部會都能夠把這個預算的需求列為一個重要的希望能夠編列的地方重點就是錢要怎麼來
transcript.whisperx[12].start 295.458
transcript.whisperx[12].end 323.055
transcript.whisperx[12].text 那要怎麼把它做適當的這個分配那我們都了解燒紙化所帶來這個結構的挑戰真的是非常大那怎麼能夠讓資源用得好那到底要先照顧誰這就是大家未來很期許能夠透過今天的共天會將來在立法的時候可以有更好的方式所以如果今天這個特別條例能夠順利的經過大家的討論的話
transcript.whisperx[13].start 324.38
transcript.whisperx[13].end 352.678
transcript.whisperx[13].text 那這些經費會不會去因為是特別條例他還是會造成這個預算上的影響這是我們所擔心也希望能夠透過專家學者跟我們提供意見給我們來參考那強化弱勢支持還是要無差別的發放這個剛剛專家學者都提供非常多的意見那我們也知道現有的政策裡面目前衛福是在推動兒童及少女
transcript.whisperx[14].start 353.856
transcript.whisperx[14].end 382.611
transcript.whisperx[14].text 未來教育與發展帳戶這樣的情形之下過去這8年來已經幫8892位孩子開了戶他的開戶率是66%那我相信這個是未來的重點如果我們希望真的能夠照顧讓這一群相對弱勢的小朋友們有機會來做階層的流動是重中之重所以如果能夠讓這群孩子們得到最大最好的照顧
transcript.whisperx[15].start 383.756
transcript.whisperx[15].end 410.205
transcript.whisperx[15].text 讓我們對孩子的未來是有所期許對台灣的未來是有更大的幫助的話我相信好的法律的制定會攸關如何能夠讓台灣的社會可以有更好的未來那今天再度感謝我們所有的專家學者能夠提供這麼完整的一些內容讓未來在立法的時候給我做參考再度感謝大家也祝大家生性愉快謝謝
transcript.whisperx[16].start 411.982
transcript.whisperx[16].end 416.698
transcript.whisperx[16].text 謝謝王振旭委員的發言,現在請陳一鳴教授發言。