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 |