iVOD / 158510

Field Value
IVOD_ID 158510
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158510
日期 2024-12-30
會議資料.會議代碼 委員會-11-2-20-14
會議資料.會議代碼:str 第11屆第2會期財政委員會第14次全體委員會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 14
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2會期財政委員會第14次全體委員會議
影片種類 Clip
開始時間 2024-12-30T11:08:40+08:00
結束時間 2024-12-30T11:21:00+08:00
影片長度 00:12:20
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/358c3f0dd56dd1e084722c87da1aa8834f10c035d50fc648d9c2d0a04e685e492aeb4f393fa6d6c65ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 李彥秀
委員發言時間 11:08:40 - 11:21:00
會議時間 2024-12-30T09:00:00+08:00
會議名稱 立法院第11屆第2會期財政委員會第14次全體委員會議(事由:邀請行政院龔秘書長明鑫、行政院主計總處陳主計長淑姿、財政部莊部長翠雲就「行政院表示:因財劃法修正,114年度總預算須重編」進行專題報告,並備質詢。 【113年12月30日及114年1月2日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 2.91659375
transcript.pyannote[0].end 15.97784375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 8.62034375
transcript.pyannote[1].end 10.24034375
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 15.04971875
transcript.pyannote[2].end 15.70784375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 15.97784375
transcript.pyannote[3].end 16.02846875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 16.02846875
transcript.pyannote[4].end 16.72034375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 17.20971875
transcript.pyannote[5].end 17.22659375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 17.22659375
transcript.pyannote[6].end 17.61471875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 17.61471875
transcript.pyannote[7].end 17.83409375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 17.83409375
transcript.pyannote[8].end 17.96909375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 22.32284375
transcript.pyannote[9].end 22.87971875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 23.97659375
transcript.pyannote[10].end 30.94596875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 37.62846875
transcript.pyannote[11].end 39.88971875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 40.31159375
transcript.pyannote[12].end 40.34534375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 40.34534375
transcript.pyannote[13].end 43.12971875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 44.69909375
transcript.pyannote[14].end 47.77034375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 48.19221875
transcript.pyannote[15].end 72.96471875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 74.12909375
transcript.pyannote[16].end 74.55096875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 74.80409375
transcript.pyannote[17].end 81.19971875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 81.57096875
transcript.pyannote[18].end 81.89159375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 82.46534375
transcript.pyannote[19].end 89.21534375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 89.68784375
transcript.pyannote[20].end 91.07159375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 91.83096875
transcript.pyannote[21].end 92.92784375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 93.61971875
transcript.pyannote[22].end 94.26096875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 94.51409375
transcript.pyannote[23].end 95.45909375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 95.93159375
transcript.pyannote[24].end 97.02846875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 97.43346875
transcript.pyannote[25].end 101.29784375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 101.93909375
transcript.pyannote[26].end 103.69409375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 103.93034375
transcript.pyannote[27].end 106.49534375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 107.22096875
transcript.pyannote[28].end 111.05159375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 111.50721875
transcript.pyannote[29].end 114.27471875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 114.40971875
transcript.pyannote[30].end 116.80596875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 118.02096875
transcript.pyannote[31].end 120.19784375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 120.58596875
transcript.pyannote[32].end 126.96471875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 127.35284375
transcript.pyannote[33].end 130.72784375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 131.80784375
transcript.pyannote[34].end 134.50784375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 135.50346875
transcript.pyannote[35].end 136.76909375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 138.20346875
transcript.pyannote[36].end 155.38221875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 156.44534375
transcript.pyannote[37].end 158.92596875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 159.44909375
transcript.pyannote[38].end 164.12346875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 166.60409375
transcript.pyannote[39].end 168.96659375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 170.58659375
transcript.pyannote[40].end 171.17721875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 171.37971875
transcript.pyannote[41].end 172.51034375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 174.61971875
transcript.pyannote[42].end 184.05284375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 184.05284375
transcript.pyannote[43].end 184.06971875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 184.06971875
transcript.pyannote[44].end 184.15409375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 184.15409375
transcript.pyannote[45].end 184.18784375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 184.18784375
transcript.pyannote[46].end 184.33971875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 184.33971875
transcript.pyannote[47].end 184.79534375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 184.79534375
transcript.pyannote[48].end 185.03159375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 185.03159375
transcript.pyannote[49].end 185.04846875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 185.04846875
transcript.pyannote[50].end 185.16659375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 185.16659375
transcript.pyannote[51].end 196.38846875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 196.74284375
transcript.pyannote[52].end 200.60721875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 200.18534375
transcript.pyannote[53].end 211.79534375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 211.84596875
transcript.pyannote[54].end 223.35471875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 224.89034375
transcript.pyannote[55].end 229.39596875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 229.71659375
transcript.pyannote[56].end 230.57721875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 231.08346875
transcript.pyannote[57].end 243.60471875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 243.99284375
transcript.pyannote[58].end 245.29221875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 247.01346875
transcript.pyannote[59].end 247.58721875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 247.82346875
transcript.pyannote[60].end 248.17784375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 249.29159375
transcript.pyannote[61].end 250.43909375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 251.35034375
transcript.pyannote[62].end 253.62846875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 255.56909375
transcript.pyannote[63].end 257.45909375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 257.94846875
transcript.pyannote[64].end 259.38284375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 260.09159375
transcript.pyannote[65].end 261.28971875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 261.64409375
transcript.pyannote[66].end 263.90534375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 264.83346875
transcript.pyannote[67].end 265.55909375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 266.35221875
transcript.pyannote[68].end 268.37721875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 269.69346875
transcript.pyannote[69].end 271.27971875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 272.02221875
transcript.pyannote[70].end 279.53159375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 279.53159375
transcript.pyannote[71].end 284.66159375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 285.15096875
transcript.pyannote[72].end 289.30221875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 290.14596875
transcript.pyannote[73].end 299.03909375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 294.19596875
transcript.pyannote[74].end 295.37721875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 299.15721875
transcript.pyannote[75].end 300.67596875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 301.19909375
transcript.pyannote[76].end 305.97471875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 305.97471875
transcript.pyannote[77].end 307.89846875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 308.62409375
transcript.pyannote[78].end 317.97284375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 316.89284375
transcript.pyannote[79].end 317.93909375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 317.97284375
transcript.pyannote[80].end 318.37784375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 318.37784375
transcript.pyannote[81].end 319.03596875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 319.03596875
transcript.pyannote[82].end 319.28909375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 319.67721875
transcript.pyannote[83].end 319.69409375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 319.69409375
transcript.pyannote[84].end 322.20846875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 322.66409375
transcript.pyannote[85].end 326.00534375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 327.03471875
transcript.pyannote[86].end 331.03409375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 331.03409375
transcript.pyannote[87].end 354.60846875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 354.74346875
transcript.pyannote[88].end 357.91596875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 358.43909375
transcript.pyannote[89].end 361.02096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 362.59034375
transcript.pyannote[90].end 363.45096875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 362.60721875
transcript.pyannote[91].end 363.34971875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 364.36221875
transcript.pyannote[92].end 369.62721875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 369.34034375
transcript.pyannote[93].end 379.61721875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 369.66096875
transcript.pyannote[94].end 369.69471875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 379.76909375
transcript.pyannote[95].end 384.47721875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 385.27034375
transcript.pyannote[96].end 386.53596875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 386.80596875
transcript.pyannote[97].end 396.01971875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 396.94784375
transcript.pyannote[98].end 418.02471875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 418.02471875
transcript.pyannote[99].end 418.14284375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 418.14284375
transcript.pyannote[100].end 418.37909375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 418.37909375
transcript.pyannote[101].end 418.42971875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 418.42971875
transcript.pyannote[102].end 418.93596875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 418.93596875
transcript.pyannote[103].end 419.03721875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 419.03721875
transcript.pyannote[104].end 419.12159375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 419.12159375
transcript.pyannote[105].end 419.17221875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 419.17221875
transcript.pyannote[106].end 419.29034375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 419.29034375
transcript.pyannote[107].end 419.30721875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 419.30721875
transcript.pyannote[108].end 419.35784375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 419.35784375
transcript.pyannote[109].end 419.44221875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 419.44221875
transcript.pyannote[110].end 419.45909375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 419.45909375
transcript.pyannote[111].end 419.89784375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 419.89784375
transcript.pyannote[112].end 420.28596875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 419.91471875
transcript.pyannote[113].end 420.64034375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 420.64034375
transcript.pyannote[114].end 420.91034375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 420.91034375
transcript.pyannote[115].end 420.97784375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 420.97784375
transcript.pyannote[116].end 421.07909375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 421.07909375
transcript.pyannote[117].end 423.44159375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 421.43346875
transcript.pyannote[118].end 431.20409375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 433.65096875
transcript.pyannote[119].end 435.22034375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 434.32596875
transcript.pyannote[120].end 434.59596875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 434.59596875
transcript.pyannote[121].end 434.79846875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 435.77721875
transcript.pyannote[122].end 437.12721875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 437.12721875
transcript.pyannote[123].end 437.53221875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 437.14409375
transcript.pyannote[124].end 437.16096875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 437.73471875
transcript.pyannote[125].end 439.25346875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 439.43909375
transcript.pyannote[126].end 447.37034375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 448.41659375
transcript.pyannote[127].end 463.21596875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 463.63784375
transcript.pyannote[128].end 467.63721875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 468.14346875
transcript.pyannote[129].end 471.02909375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 471.26534375
transcript.pyannote[130].end 475.60221875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 476.12534375
transcript.pyannote[131].end 483.09471875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 483.73596875
transcript.pyannote[132].end 486.38534375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 487.38096875
transcript.pyannote[133].end 489.47346875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 489.16971875
transcript.pyannote[134].end 497.91096875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 498.07971875
transcript.pyannote[135].end 525.75471875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 526.26096875
transcript.pyannote[136].end 531.74534375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 530.58096875
transcript.pyannote[137].end 532.65659375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 532.99409375
transcript.pyannote[138].end 549.86909375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 550.98284375
transcript.pyannote[139].end 555.16784375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 555.33659375
transcript.pyannote[140].end 564.24659375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 564.43221875
transcript.pyannote[141].end 572.26221875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 573.29159375
transcript.pyannote[142].end 591.02721875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 591.06096875
transcript.pyannote[143].end 597.89534375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 598.28346875
transcript.pyannote[144].end 598.77284375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 598.94159375
transcript.pyannote[145].end 599.59971875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 601.15221875
transcript.pyannote[146].end 601.60784375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 602.36721875
transcript.pyannote[147].end 611.24346875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 610.88909375
transcript.pyannote[148].end 618.60096875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 619.27596875
transcript.pyannote[149].end 621.25034375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 620.54159375
transcript.pyannote[150].end 621.99284375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 625.53659375
transcript.pyannote[151].end 635.30721875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 635.37471875
transcript.pyannote[152].end 635.76284375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 636.91034375
transcript.pyannote[153].end 640.82534375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 640.85909375
transcript.pyannote[154].end 641.23034375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 642.15846875
transcript.pyannote[155].end 649.12784375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 649.98846875
transcript.pyannote[156].end 651.16971875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 651.47346875
transcript.pyannote[157].end 656.14784375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 654.83159375
transcript.pyannote[158].end 656.19846875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 656.19846875
transcript.pyannote[159].end 656.31659375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 656.41784375
transcript.pyannote[160].end 656.82284375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 656.70471875
transcript.pyannote[161].end 658.02096875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 657.81846875
transcript.pyannote[162].end 658.30784375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 658.39221875
transcript.pyannote[163].end 658.74659375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 658.98284375
transcript.pyannote[164].end 666.91409375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 667.42034375
transcript.pyannote[165].end 678.52409375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 678.52409375
transcript.pyannote[166].end 678.67596875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 678.67596875
transcript.pyannote[167].end 678.96284375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 678.96284375
transcript.pyannote[168].end 679.14846875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 679.14846875
transcript.pyannote[169].end 681.46034375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 679.16534375
transcript.pyannote[170].end 682.86096875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 683.77221875
transcript.pyannote[171].end 685.93221875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 685.93221875
transcript.pyannote[172].end 686.97846875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 687.88971875
transcript.pyannote[173].end 688.49721875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 688.49721875
transcript.pyannote[174].end 688.68284375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 688.68284375
transcript.pyannote[175].end 689.72909375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 691.87221875
transcript.pyannote[176].end 696.96846875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 697.27221875
transcript.pyannote[177].end 698.95971875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 702.06471875
transcript.pyannote[178].end 702.35159375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 702.77346875
transcript.pyannote[179].end 731.96721875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 731.98409375
transcript.pyannote[180].end 732.82784375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 733.08096875
transcript.pyannote[181].end 738.14346875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 738.14346875
transcript.pyannote[182].end 738.97034375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 738.21096875
transcript.pyannote[183].end 739.96596875
transcript.whisperx[0].start 2.918
transcript.whisperx[0].end 4.638
transcript.whisperx[0].text 主席長,我想先請問您一下, 您們現在有掌握各委員會審議預算的進度嗎?
transcript.whisperx[1].start 39.326
transcript.whisperx[1].end 42.414
transcript.whisperx[1].text 是,那我請問立法院有沒有在擋預算?
transcript.whisperx[2].start 44.738
transcript.whisperx[2].end 72.519
transcript.whisperx[2].text 沒有嘛齁好那這個訊息要讓外界全部都知道其實過去10年以來我們大概在年度12月31號審完預算大概只有3年就是7年度101年度跟105年度完成刪讀大部分都是過完國立年後立法院才陸陸續續把預算審完但是也都沒有影響到所有整個行政院各部會去使用預算對不對
transcript.whisperx[3].start 77.485
transcript.whisperx[3].end 92.042
transcript.whisperx[3].text 我今天要提的是二倍二倍金是我們政府中央政府的應急錢也是人民的救命錢沒有錯嘛那各部會送進來
transcript.whisperx[4].start 93.686
transcript.whisperx[4].end 116.613
transcript.whisperx[4].text 要使用動二的部分你們到底有沒有好好的一筆一筆來審議 有 有沒有 有經過行政院還是直接交給你你全部通通買單我們審查然後簽行政院准對不起你麥克風好遠我聽得不是很清楚我們審查以後簽行政院核准
transcript.whisperx[5].start 118.109
transcript.whisperx[5].end 136.339
transcript.whisperx[5].text 所以我觀察一下在113年度也就是今年度5000萬的動用二倍總共有11筆這兩天媒體上也有看到我的談話我相信你有看到二倍使用腐爛的程度不要說我們不給你
transcript.whisperx[6].start 138.254
transcript.whisperx[6].end 163.736
transcript.whisperx[6].text 但是光是包括教育部拿來蓋校際研教園區還有外交部拿來辦住處的換約這個都不會是今年才知道的我為什麼請行政院副秘書長站在旁邊這些應該都不是今年才知道的為什麼會用動二包括內政部拿來辦理義難教招
transcript.whisperx[7].start 166.79
transcript.whisperx[7].end 168.553
transcript.whisperx[7].text 這些該使用動惡嗎?主席長,你懂我意思嗎?
transcript.whisperx[8].start 174.813
transcript.whisperx[8].end 196.121
transcript.whisperx[8].text 一般部會是這樣的他討論以後他原來的預算不夠支應所以我們預算動資二倍金他條件有什麼叫做預算不夠支應外交部拿來辦住處的換約這都不會是當下113年才知道他可能去年前年就已經知道時間到了要換約這件事情
transcript.whisperx[9].start 196.781
transcript.whisperx[9].end 223.097
transcript.whisperx[9].text 但是他不確定性,所以他沒有辦法說那個在當年…什麼叫做不確定性?他早就應該把這個事情每個部會如果都說我不確定性所以我都要用凍二來處理,那還得了凍二當時法規上同意你用凍二的目的是什麼?你們現在凍二是全部都用凍二來去做處理那你現在包括凍二簽完了之後很多還變成流用
transcript.whisperx[10].start 224.929
transcript.whisperx[10].end 236.012
transcript.whisperx[10].text 包括以111年度為例子申請用動二的總共有1647萬那隔年有保留到隔年使用的有99.62%包括國發會買這個檔案櫃到最後也保留主計長這種東西怎麼用動二你不覺得很離譜嗎
transcript.whisperx[11].start 256.814
transcript.whisperx[11].end 267.347
transcript.whisperx[11].text 國發會買檔案櫃然後最後保留我看還有什麼東西還有辦公室的搬遷跟整修議政署他花了1647萬你覺得這個該使用棟二嗎?
transcript.whisperx[12].start 272.022
transcript.whisperx[12].end 288.897
transcript.whisperx[12].text 他臨時接貨要在定期內要做一個搬遷那所以這個搬遷不是在預計的範圍裡面這個早就應該這個早就應該是用一般的預算編入吧包括醫政署他要用辦公室搬遷跟整修
transcript.whisperx[13].start 290.168
transcript.whisperx[13].end 307.277
transcript.whisperx[13].text 他可以挪到明年或追加預算進來啊怎麼會用凍二呢他如果真的這麼急就用追加預算進來啊我們再來看怎麼處理啊怎麼用凍二你現在預備金是八山八海每一個部會想要用什麼都可以用换成是各部會另外一個小金庫啊
transcript.whisperx[14].start 316.688
transcript.whisperx[14].end 325.734
transcript.whisperx[14].text 那各部會就不用好好編列啦。他就不用好好編列,反正不夠,到時候沒編,編得不夠精準,我全部都用送二,你通通都收啊。
transcript.whisperx[15].start 327.075
transcript.whisperx[15].end 352.246
transcript.whisperx[15].text 所以原則上其實我們是對比較臨時有需要的第一我看到的是你沒有去追究各部會的行政責任所以對他們來說反正我沒有編到沒關係我就到最後我就索技術我用動惡來處理這就好了反正行政院會簽合同意對他來說心態就這樣子啊在我看來這一筆包括辦公一南辦公室的這個辦公室的裝修跟整修包括國發會買檔案櫃
transcript.whisperx[16].start 355.328
transcript.whisperx[16].end 356.872
transcript.whisperx[16].text 欸 這個很離譜捏 這個也來用動惡來處理你聽到你自己不會覺得這怎麼會用動惡呢
transcript.whisperx[17].start 362.594
transcript.whisperx[17].end 384.229
transcript.whisperx[17].text 我有沒有講錯?對,他就是說因為可能增加數量或者是說原來沒有預計到要...這跟增加數量也沒有關係那你就今年不要編明年再編進來就好明年公務預算一個檔案貴明年再編這有什麼但是用動二字就離譜了不符合動二的規範使用
transcript.whisperx[18].start 385.302
transcript.whisperx[18].end 395.852
transcript.whisperx[18].text 那你各部會送進來動案你也沒有所謂的行政責任所以未來各部會就變成說反正編不夠沒關係我有一個小金庫可以用我就用預備金來處理就好了
transcript.whisperx[19].start 397.154
transcript.whisperx[19].end 421.988
transcript.whisperx[19].text 東俄它的動資條件它其實是有三個啦一個就是原來計劃它有修正那第二個就是它有增加數量所以它是符合它的一個動資的原則就是數量增加導致它原來預算不夠的部分那第三個就是它有新增計劃所以它的三個原則就是等於你都沒有一個門檻你心裡都你心裡有這三個原則那我編不夠我全部不想寫我就全部都要編就好了
transcript.whisperx[20].start 433.717
transcript.whisperx[20].end 447.028
transcript.whisperx[20].text 主席長我覺得齁動惡的使用齁我還是再次強調是政府的應急前當國家發生重大的事件需要緊急用的時候或者是人民的救命前
transcript.whisperx[21].start 448.476
transcript.whisperx[21].end 466.985
transcript.whisperx[21].text 目前在我看來,無論是買檔案櫃,或者是辦公室的搬遷,或者是拿義男教召,或者是外交部拿來辦住外處換租,我覺得這都不是第一時間起,這早就應該各部會。
transcript.whisperx[22].start 468.146
transcript.whisperx[22].end 468.186
transcript.whisperx[22].text 李彥秀
transcript.whisperx[23].start 487.523
transcript.whisperx[23].end 503.619
transcript.whisperx[23].text 這就更加離譜了,對不對?比如說它核定的時間就已經超過預算籌編的時間,它就來不及,所以這個部分就需要來動惡,是這樣子。在我看來你完全沒有把關嘛,所以在我看來各部位的編不夠就這樣子使用就好了,所以
transcript.whisperx[24].start 505.3
transcript.whisperx[24].end 525.342
transcript.whisperx[24].text 我覺得這不符合我們所謂外界在觀察救命錢的使用所以會淪為各部會的小金庫所以我再一次認為我覺得主計處在這一個各部會使用動惡的把關上為了讓各部會未來精準地去編列各單位的預算
transcript.whisperx[25].start 526.343
transcript.whisperx[25].end 549.583
transcript.whisperx[25].text 要更用心我覺得動惡的使用不應該是這樣的使用方式我再一次提醒我這樣子講應該合理啦行政院包括買什麼檔案櫃這個沒有那麼急啦外交部換約的部分早在前一兩年早就應該知道早就應該去做好因應的準備他用不到他自己在留用就好了而不是在動惡裡面在留用
transcript.whisperx[26].start 551.018
transcript.whisperx[26].end 571.666
transcript.whisperx[26].text 一男的叫糟的辦公室更是如此所以我覺得目前的說法沒有辦法去說服外界對於動二預備金的服用濫用跟流用這個我必須要讓行政院的副秘書長知道這件事情所以動二的使用不應該淪為各部會的小金庫
transcript.whisperx[27].start 573.939
transcript.whisperx[27].end 599.124
transcript.whisperx[27].text 這個最近我在媒體上已經有指出來我也希望主計長你在這邊動惡的部分要更嚴格的把關然後最後我要再一次問一下財劃法的部分複利民可以請回那個到目前為止我剛剛聽到幾位委員的質詢的結果大概大部分大概都聽到無論是限數法或財劃法這個部分都打算走復議對不對
transcript.whisperx[28].start 602.826
transcript.whisperx[28].end 618.018
transcript.whisperx[28].text 這個部分那個行政院還在討論我們相關的一個因應措施看我們他整個一個討論的結果但這個部分也會跟也要經過總統的核可嘛對不對走副議那總統核可對不對賴總統核可那我再請一下副秘書長
transcript.whisperx[29].start 625.558
transcript.whisperx[29].end 648.888
transcript.whisperx[29].text 因為程旭是復裕之後決定要復裕不管這三個法案哪一個法案要復裕哪一個法案最後要走釋憲最後都要總統的核可對不對對所以也就是說這整件事情最後也要總統同意嘛對所以從今天上午聽到現在這三個法案最後做出的結果也都是賴總統的意志
transcript.whisperx[30].start 650.049
transcript.whisperx[30].end 666.242
transcript.whisperx[30].text 我這樣講沒有錯嗎?我們會跟他報告,同意後我們對,到最後就是賴總統的意志嘛那到底賴總統對於這三個法案最後我昨天聽到在其他委員會有聽到說路上有提到說
transcript.whisperx[31].start 667.483
transcript.whisperx[31].end 689.517
transcript.whisperx[31].text 我從媒體上有看到說到底會不會召集院紀協調的部分後來否認沒有那到底這三個法案會不會走院紀協調?行政院跟立法院會不會走院紀協調?會不會請總統出來做院紀協調?有沒有這件事情?你不清楚還是不知道還是不敢說?你不知道?媒體上有沒有看到?
transcript.whisperx[32].start 692.215
transcript.whisperx[32].end 698.595
transcript.whisperx[32].text 媒體上有聽聞有新聞有聽聞有聽聞所以你不知道我不知道
transcript.whisperx[33].start 702.062
transcript.whisperx[33].end 723.138
transcript.whisperx[33].text 好,第一個我尊重了我覺得這整件事情這三個法案這三大法案每一個法案其實都是攸關人民不管是立法院在野黨的立場也好或你們的立場也好對於國家整個未來的運作跟預算執行都是洞見觀瞻我覺得大家也都在看
transcript.whisperx[34].start 723.618
transcript.whisperx[34].end 723.638
transcript.whisperx[34].text 謝謝委員