iVOD / 162024

Field Value
IVOD_ID 162024
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162024
日期 2025-05-28
會議資料.會議代碼 委員會-11-3-15-22
會議資料.會議代碼:str 第11屆第3會期內政委員會第22次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 22
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第3會期內政委員會第22次全體委員會議
影片種類 Clip
開始時間 2025-05-28T11:15:45+08:00
結束時間 2025-05-28T11:24:28+08:00
影片長度 00:08:43
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f243f148d8b84f65738d126c33bcaff1fd1a3426710e0a50eed4e1b9f274f2638895ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 11:15:45 - 11:24:28
會議時間 2025-05-28T09:00:00+08:00
會議名稱 立法院第11屆第3會期內政委員會第22次全體委員會議(事由:處理114年度中央政府總預算案有關行政院預算解凍案。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 5.54909375
transcript.pyannote[0].end 7.40534375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 7.96221875
transcript.pyannote[1].end 8.73846875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 8.73846875
transcript.pyannote[2].end 8.75534375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 12.87284375
transcript.pyannote[3].end 12.88971875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 12.88971875
transcript.pyannote[4].end 13.48034375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 13.51409375
transcript.pyannote[5].end 15.53909375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 15.53909375
transcript.pyannote[6].end 16.26471875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 17.07471875
transcript.pyannote[7].end 21.88409375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 22.10346875
transcript.pyannote[8].end 23.45346875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 24.02721875
transcript.pyannote[9].end 27.40221875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 27.92534375
transcript.pyannote[10].end 28.68471875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 29.39346875
transcript.pyannote[11].end 32.81909375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 33.46034375
transcript.pyannote[12].end 36.37971875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 37.05471875
transcript.pyannote[13].end 43.23096875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 43.77096875
transcript.pyannote[14].end 45.27284375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 45.57659375
transcript.pyannote[15].end 46.65659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 47.55096875
transcript.pyannote[16].end 47.82096875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 48.24284375
transcript.pyannote[17].end 48.83346875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 49.87971875
transcript.pyannote[18].end 51.76971875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 52.24221875
transcript.pyannote[19].end 53.91284375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 54.40221875
transcript.pyannote[20].end 54.77346875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 55.78596875
transcript.pyannote[21].end 56.96721875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 57.47346875
transcript.pyannote[22].end 58.23284375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 58.87409375
transcript.pyannote[23].end 60.49409375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 61.50659375
transcript.pyannote[24].end 63.29534375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 64.54409375
transcript.pyannote[25].end 65.53971875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 66.06284375
transcript.pyannote[26].end 68.96534375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 69.65721875
transcript.pyannote[27].end 71.05784375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 71.49659375
transcript.pyannote[28].end 72.44159375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 73.08284375
transcript.pyannote[29].end 74.92221875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 75.15846875
transcript.pyannote[30].end 78.06096875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 78.73596875
transcript.pyannote[31].end 79.86659375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 80.33909375
transcript.pyannote[32].end 83.35971875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 84.05159375
transcript.pyannote[33].end 85.43534375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 85.87409375
transcript.pyannote[34].end 87.35909375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 87.84846875
transcript.pyannote[35].end 88.47284375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 89.21534375
transcript.pyannote[36].end 90.64971875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 91.12221875
transcript.pyannote[37].end 94.75034375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 96.13409375
transcript.pyannote[38].end 99.45846875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 100.16721875
transcript.pyannote[39].end 101.28096875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 102.76596875
transcript.pyannote[40].end 105.92159375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 107.86221875
transcript.pyannote[41].end 107.99721875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 108.46971875
transcript.pyannote[42].end 111.32159375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 111.96284375
transcript.pyannote[43].end 117.61596875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 118.03784375
transcript.pyannote[44].end 123.03284375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 123.38721875
transcript.pyannote[45].end 125.07471875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 125.34471875
transcript.pyannote[46].end 128.95596875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 129.51284375
transcript.pyannote[47].end 130.28909375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 130.74471875
transcript.pyannote[48].end 133.03971875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 133.83284375
transcript.pyannote[49].end 140.00909375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 140.26221875
transcript.pyannote[50].end 149.54346875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 150.57284375
transcript.pyannote[51].end 150.97784375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 151.97346875
transcript.pyannote[52].end 157.81221875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 158.65596875
transcript.pyannote[53].end 160.57971875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 161.00159375
transcript.pyannote[54].end 163.70159375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 165.89534375
transcript.pyannote[55].end 166.43534375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 167.86971875
transcript.pyannote[56].end 169.69221875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 170.21534375
transcript.pyannote[57].end 172.37534375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 173.05034375
transcript.pyannote[58].end 173.75909375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 174.13034375
transcript.pyannote[59].end 175.09221875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 175.26096875
transcript.pyannote[60].end 178.99034375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 179.41221875
transcript.pyannote[61].end 181.53846875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 181.84221875
transcript.pyannote[62].end 185.09909375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 186.49971875
transcript.pyannote[63].end 188.76096875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 189.41909375
transcript.pyannote[64].end 190.78596875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 191.54534375
transcript.pyannote[65].end 193.68846875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 194.76846875
transcript.pyannote[66].end 198.21096875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 198.97034375
transcript.pyannote[67].end 199.56096875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 199.89846875
transcript.pyannote[68].end 209.75346875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 210.15846875
transcript.pyannote[69].end 211.03596875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 211.33971875
transcript.pyannote[70].end 214.49534375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 215.30534375
transcript.pyannote[71].end 217.16159375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 218.54534375
transcript.pyannote[72].end 219.76034375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 219.96284375
transcript.pyannote[73].end 223.03409375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 223.15221875
transcript.pyannote[74].end 224.19846875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 225.32909375
transcript.pyannote[75].end 226.49346875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 226.57784375
transcript.pyannote[76].end 228.88971875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 229.51409375
transcript.pyannote[77].end 231.80909375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 233.27721875
transcript.pyannote[78].end 237.91784375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 238.84596875
transcript.pyannote[79].end 241.71471875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 242.38971875
transcript.pyannote[80].end 243.90846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 244.49909375
transcript.pyannote[81].end 245.64659375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 246.38909375
transcript.pyannote[82].end 248.19471875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 248.38034375
transcript.pyannote[83].end 251.14784375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 252.04221875
transcript.pyannote[84].end 254.05034375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 254.96159375
transcript.pyannote[85].end 256.22721875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 256.64909375
transcript.pyannote[86].end 257.79659375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 259.07909375
transcript.pyannote[87].end 260.42909375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 261.66096875
transcript.pyannote[88].end 263.88846875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 264.83346875
transcript.pyannote[89].end 265.47471875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 266.01471875
transcript.pyannote[90].end 267.49971875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 268.63034375
transcript.pyannote[91].end 271.02659375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 271.65096875
transcript.pyannote[92].end 274.04721875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 274.53659375
transcript.pyannote[93].end 276.03846875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 276.86534375
transcript.pyannote[94].end 284.10471875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 285.40409375
transcript.pyannote[95].end 287.64846875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 288.22221875
transcript.pyannote[96].end 292.69409375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 293.16659375
transcript.pyannote[97].end 294.24659375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 294.28034375
transcript.pyannote[98].end 295.83284375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 296.42346875
transcript.pyannote[99].end 298.02659375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 298.66784375
transcript.pyannote[100].end 298.85346875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 299.71409375
transcript.pyannote[101].end 300.28784375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 302.07659375
transcript.pyannote[102].end 303.13971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 303.93284375
transcript.pyannote[103].end 307.18971875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 307.56096875
transcript.pyannote[104].end 308.45534375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 309.34971875
transcript.pyannote[105].end 313.92284375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 314.88471875
transcript.pyannote[106].end 318.71534375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 320.85846875
transcript.pyannote[107].end 328.84034375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 329.61659375
transcript.pyannote[108].end 332.01284375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 332.23221875
transcript.pyannote[109].end 334.08846875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 334.52721875
transcript.pyannote[110].end 335.20221875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 335.82659375
transcript.pyannote[111].end 336.21471875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 337.00784375
transcript.pyannote[112].end 337.64909375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 338.23971875
transcript.pyannote[113].end 339.75846875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 340.21409375
transcript.pyannote[114].end 342.72846875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 343.15034375
transcript.pyannote[115].end 344.48346875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 346.93034375
transcript.pyannote[116].end 348.58409375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 349.39409375
transcript.pyannote[117].end 351.35159375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 351.67221875
transcript.pyannote[118].end 354.64221875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 356.46471875
transcript.pyannote[119].end 357.02159375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 357.62909375
transcript.pyannote[120].end 358.35471875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 358.70909375
transcript.pyannote[121].end 360.12659375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 360.14346875
transcript.pyannote[122].end 364.29471875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 365.42534375
transcript.pyannote[123].end 366.53909375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 367.60221875
transcript.pyannote[124].end 368.42909375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 368.80034375
transcript.pyannote[125].end 370.43721875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 370.74096875
transcript.pyannote[126].end 372.27659375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 372.71534375
transcript.pyannote[127].end 373.30596875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 374.09909375
transcript.pyannote[128].end 374.84159375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 376.88346875
transcript.pyannote[129].end 381.55784375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 382.45221875
transcript.pyannote[130].end 386.35034375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 387.76784375
transcript.pyannote[131].end 389.15159375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 390.61971875
transcript.pyannote[132].end 392.83034375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 393.23534375
transcript.pyannote[133].end 393.85971875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 394.63596875
transcript.pyannote[134].end 395.61471875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 396.17159375
transcript.pyannote[135].end 398.16284375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 399.29346875
transcript.pyannote[136].end 399.90096875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 400.15409375
transcript.pyannote[137].end 401.43659375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 402.24659375
transcript.pyannote[138].end 403.42784375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 403.78221875
transcript.pyannote[139].end 404.87909375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 405.75659375
transcript.pyannote[140].end 407.68034375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 408.91221875
transcript.pyannote[141].end 409.33409375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 410.27909375
transcript.pyannote[142].end 411.27471875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 412.13534375
transcript.pyannote[143].end 412.50659375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 412.77659375
transcript.pyannote[144].end 412.91159375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 413.45159375
transcript.pyannote[145].end 414.17721875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 414.39659375
transcript.pyannote[146].end 417.06284375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 418.46346875
transcript.pyannote[147].end 419.50971875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 419.91471875
transcript.pyannote[148].end 420.37034375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 420.75846875
transcript.pyannote[149].end 421.39971875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 421.99034375
transcript.pyannote[150].end 424.26846875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 425.39909375
transcript.pyannote[151].end 427.30596875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 427.91346875
transcript.pyannote[152].end 428.16659375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 428.99346875
transcript.pyannote[153].end 431.52471875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 432.19971875
transcript.pyannote[154].end 434.59596875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 435.35534375
transcript.pyannote[155].end 441.58221875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 442.44284375
transcript.pyannote[156].end 444.56909375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 445.59846875
transcript.pyannote[157].end 447.13409375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 447.92721875
transcript.pyannote[158].end 448.65284375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 449.69909375
transcript.pyannote[159].end 450.32346875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 450.55971875
transcript.pyannote[160].end 451.80846875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 452.73659375
transcript.pyannote[161].end 453.04034375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 453.42846875
transcript.pyannote[162].end 455.21721875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 455.70659375
transcript.pyannote[163].end 456.66846875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 457.54596875
transcript.pyannote[164].end 459.84096875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 460.33034375
transcript.pyannote[165].end 462.23721875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 462.99659375
transcript.pyannote[166].end 464.93721875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 465.78096875
transcript.pyannote[167].end 468.91971875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 469.44284375
transcript.pyannote[168].end 470.26971875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 470.69159375
transcript.pyannote[169].end 473.10471875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 473.83034375
transcript.pyannote[170].end 476.69909375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 477.25596875
transcript.pyannote[171].end 479.28096875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 480.81659375
transcript.pyannote[172].end 481.55909375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 486.09846875
transcript.pyannote[173].end 490.31721875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 491.17784375
transcript.pyannote[174].end 491.98784375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 492.24096875
transcript.pyannote[175].end 492.69659375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 492.98346875
transcript.pyannote[176].end 495.14346875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 494.73846875
transcript.pyannote[177].end 496.12221875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 497.01659375
transcript.pyannote[178].end 497.52284375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 498.21471875
transcript.pyannote[179].end 499.09221875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 499.71659375
transcript.pyannote[180].end 501.37034375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 502.34909375
transcript.pyannote[181].end 503.17596875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 503.85096875
transcript.pyannote[182].end 505.25159375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 505.96034375
transcript.pyannote[183].end 508.20471875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 509.77409375
transcript.pyannote[184].end 511.69784375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 512.74409375
transcript.pyannote[185].end 514.24596875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 514.97159375
transcript.pyannote[186].end 519.17346875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 519.64596875
transcript.pyannote[187].end 521.67096875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 520.48971875
transcript.pyannote[188].end 521.16471875
transcript.whisperx[0].start 5.918
transcript.whisperx[0].end 27.444
transcript.whisperx[0].text 主席 請祕書長好 請祕書長這位好祕書長好 辛苦了謝謝這個這一次114年度的預算的通案三檢當初的提案在這裡民眾黨所提的提案通案三檢從這個每一個列舉的
transcript.whisperx[1].start 31.776
transcript.whisperx[1].end 59.537
transcript.whisperx[1].text 這個項目來看通案刪減的其實都是什麼都是一幫維持費這些不影響人民錢益的部分是要讓所有的中央機關要能夠不要亂用人民的納稅錢最主要的用意在這裡而民主黨你很清楚你最清楚你過去也在國會待過
transcript.whisperx[2].start 61.747
transcript.whisperx[2].end 90.37
transcript.whisperx[2].text 這次為什麼會產生這種問題就是因為立法院韓國瑜院長主持朝野這個協商要針對整個總議宣案要如何審查你本來可以在韓院長主持的協商的時候可以做說明的你本來有機會說明是誰沒說了這個說明就是柯建民總召
transcript.whisperx[3].start 91.195
transcript.whisperx[3].end 110.311
transcript.whisperx[3].text 在那個場合不斷不斷地說大罷免就造成了你沒有機會在那個場合說明所以也就這樣這個原因最主要在這裡好我們看當初立法院通案刪減的決議
transcript.whisperx[4].start 112.051
transcript.whisperx[4].end 139.25
transcript.whisperx[4].text 其中因刪減另已補足的科目是指一般維持費不包括法律義務支出也不包括獎補助費也不包括義備金而且因刪減另已補足這四個字是針對中央機關是針對中央機關所要資用的經費你怎麼可以去刪減地方政府的經費
transcript.whisperx[5].start 140.61
transcript.whisperx[5].end 161.886
transcript.whisperx[5].text 所以這個部分是一個非常嚴重的一個錯誤然後我們看這個行政院114年5月16號函給各地方政府修正114年度中央對地方政府一般性補助款結果一砍百分之二十幾總共砍了663億我們看
transcript.whisperx[6].start 167.915
transcript.whisperx[6].end 193.506
transcript.whisperx[6].text 中央對地方政府的一般性補助款他的法源依據就這個辦法然後法源是財政收支方法第三十條第二項以及地方制度法第69條第三項這是法律所明定這裡面包含警政消防人員尤其是第二條第二條的第三項的第三目
transcript.whisperx[7].start 194.81
transcript.whisperx[7].end 217.144
transcript.whisperx[7].text 就是法例民定地方政府要配合的部分法例民定是國民年金法農民健康保險條例老年農民福利暫行條例中低收入戶老人生活津貼發起辦法這個是法例民定地方政府也要去資用的經費要發要資用然後透過怎麼來源經費來源從哪裡來就是從
transcript.whisperx[8].start 225.41
transcript.whisperx[8].end 253.571
transcript.whisperx[8].text 中央對地方政府的一般性補助款這是這樣來的這是法律所明定的這裡面寫的很清楚第三條第一項一般性補助款補助事項社交研這個教育社會福利等等就是剛才的這些條文啊就是這些法律所明定的所以他是法律義務支出啊這法律義務支出怎麼可以刪減
transcript.whisperx[9].start 254.994
transcript.whisperx[9].end 283.772
transcript.whisperx[9].text 你怎麼可以去刪減你應該去刪減你的一般維持費是中央所要支用的這些經費好我們看行政院主計總署在去年8月行政院主計總署去年8月送到立法院的114年度中央政府總預算案編列依法例義務支出明細表
transcript.whisperx[10].start 285.981
transcript.whisperx[10].end 313.015
transcript.whisperx[10].text 這不是我們立法院自己做的是行政院送來的依法律義務支出的明細表裡面就包含了一般性補助款兩千五百零一一千多寫得非常清楚所以從剛才的法規法例來看包括自己行政院自己也認為這是法律義務支出這是符合的應該的
transcript.whisperx[11].start 314.926
transcript.whisperx[11].end 344.368
transcript.whisperx[11].text 我們再看民主進步黨在1月21號的臉書2501億一般性補助款都是行政和立法部門不能變動的中央法定支出連民進黨的中央黨部都認為這個當然是你們提供給他們的當天啊然後呢這裡面還寫到中央政府可用的預算還有一兆元啊
transcript.whisperx[12].start 346.974
transcript.whisperx[12].end 374.523
transcript.whisperx[12].text 扣除那些刪減了之後扣除統商的刪減了之後還有可用的一兆元一兆元你不用不是不刪結果你去刪對地方政府的一般性補助款而且涉及到教育社福的經費怎麼那麼狠啊好好回去啊秘書長這不是你做的決定回去跟卓榮泰院長做說明好接下來
transcript.whisperx[13].start 377.199
transcript.whisperx[13].end 398.148
transcript.whisperx[13].text 基本設施維持費你們也把它凍結3億2千萬3億2千萬的理由是什麼也是這個636億636億地方一般性補助款你扣了刪了還要再刪原住民的基本設施維持費這是對原鄉的這些基本財政的這個一個協助啊
transcript.whisperx[14].start 405.816
transcript.whisperx[14].end 433.99
transcript.whisperx[14].text 那不是超過636億嗎對不對變成600超過啊超過636億啊你們的理由也是這個所以這個部分民主黨趕快趕快要求行政院主席總署基本設施維持會趕快撥款另外建法補償你剛講的是什麼這是第一個行政院院長
transcript.whisperx[15].start 435.387
transcript.whisperx[15].end 464.866
transcript.whisperx[15].text 同意要辦追加預算 禁法補償不足的23億9千多萬立法院也做了決議要辦追加預算延命會依立法院的提案在今年的3月已經把這個追加預算已經送到立法院所以行政院趕快秘書長 這個你可以做決定了
transcript.whisperx[16].start 466.056
transcript.whisperx[16].end 481.46
transcript.whisperx[16].text 趕快把進法補償23億9千多萬這個跟什麼 跟總預算無關啦 跟你事先無關啦這追加預算跟總預算無關啦不要再用這個理由啊可以嗎 秘書長從3萬塊變成6萬塊 這個我們一定會補足他
transcript.whisperx[17].start 491.426
transcript.whisperx[17].end 518.932
transcript.whisperx[17].text 一定會讓原民有這樣的需要的人一定領得到這是法律義務民主黨如果我們沒有研會根本來不及啊你要辦追加預算要到11月才那個審議啊9月10月都是總質詢啊所以你趕快送來送來還來得及在7月底以前呢完成追加預算好不好
transcript.whisperx[18].start 519.805
transcript.whisperx[18].end 520.086
transcript.whisperx[18].text 我來表達謝謝