IVOD_ID |
158507 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158507 |
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 |
2024-12-30T10:55:49+08:00 |
結束時間 |
2024-12-30T11:08:29+08:00 |
影片長度 |
00:12:40 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/358c3f0dd56dd1e006114f18b26ade704f10c035d50fc648d9c2d0a04e685e490f546765d3498e985ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
李坤城 |
委員發言時間 |
10:55:49 - 11:08:29 |
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_00 |
transcript.pyannote[0].start |
3.00096875 |
transcript.pyannote[0].end |
4.68846875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
4.80659375 |
transcript.pyannote[1].end |
13.09221875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
17.69909375 |
transcript.pyannote[2].end |
18.89721875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
19.09971875 |
transcript.pyannote[3].end |
20.88846875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
21.64784375 |
transcript.pyannote[4].end |
23.92596875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
24.33096875 |
transcript.pyannote[5].end |
24.76971875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
25.25909375 |
transcript.pyannote[6].end |
26.81159375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
27.41909375 |
transcript.pyannote[7].end |
28.60034375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
28.70159375 |
transcript.pyannote[8].end |
31.53659375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
31.80659375 |
transcript.pyannote[9].end |
35.75534375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
35.95784375 |
transcript.pyannote[10].end |
52.81596875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
53.10284375 |
transcript.pyannote[11].end |
53.72721875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
53.86221875 |
transcript.pyannote[12].end |
57.38909375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
58.77284375 |
transcript.pyannote[13].end |
64.12221875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
64.40909375 |
transcript.pyannote[14].end |
71.61471875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
67.37909375 |
transcript.pyannote[15].end |
67.81784375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
71.22659375 |
transcript.pyannote[16].end |
71.63159375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
71.63159375 |
transcript.pyannote[17].end |
71.64846875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
71.64846875 |
transcript.pyannote[18].end |
71.68221875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
71.76659375 |
transcript.pyannote[19].end |
72.88034375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
73.26846875 |
transcript.pyannote[20].end |
80.20409375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
80.47409375 |
transcript.pyannote[21].end |
94.63221875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
95.10471875 |
transcript.pyannote[22].end |
100.36971875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
100.69034375 |
transcript.pyannote[23].end |
101.38221875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
101.88846875 |
transcript.pyannote[24].end |
104.92596875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
105.11159375 |
transcript.pyannote[25].end |
119.96159375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
120.04596875 |
transcript.pyannote[26].end |
125.56409375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
125.95221875 |
transcript.pyannote[27].end |
128.14596875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
128.29784375 |
transcript.pyannote[28].end |
135.25034375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
135.45284375 |
transcript.pyannote[29].end |
137.32596875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
137.88284375 |
transcript.pyannote[30].end |
139.06409375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
140.16096875 |
transcript.pyannote[31].end |
155.01096875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
145.93221875 |
transcript.pyannote[32].end |
146.23596875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
154.42034375 |
transcript.pyannote[33].end |
155.75346875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
155.68596875 |
transcript.pyannote[34].end |
158.90909375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
158.20034375 |
transcript.pyannote[35].end |
161.15346875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
159.33096875 |
transcript.pyannote[36].end |
159.70221875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
161.47409375 |
transcript.pyannote[37].end |
170.40096875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
171.12659375 |
transcript.pyannote[38].end |
175.04159375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
175.46346875 |
transcript.pyannote[39].end |
176.96534375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
177.31971875 |
transcript.pyannote[40].end |
179.76659375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
179.80034375 |
transcript.pyannote[41].end |
181.11659375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
181.25159375 |
transcript.pyannote[42].end |
185.38596875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
185.80784375 |
transcript.pyannote[43].end |
196.32096875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
194.44784375 |
transcript.pyannote[44].end |
196.18596875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
196.64159375 |
transcript.pyannote[45].end |
207.71159375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
201.04596875 |
transcript.pyannote[46].end |
201.38346875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
205.87221875 |
transcript.pyannote[47].end |
212.26784375 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
207.71159375 |
transcript.pyannote[48].end |
207.74534375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
207.79596875 |
transcript.pyannote[49].end |
207.94784375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
207.94784375 |
transcript.pyannote[50].end |
208.92659375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
208.96034375 |
transcript.pyannote[51].end |
208.97721875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
212.89221875 |
transcript.pyannote[52].end |
213.56721875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
213.06096875 |
transcript.pyannote[53].end |
216.50346875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
216.50346875 |
transcript.pyannote[54].end |
238.98096875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
218.27534375 |
transcript.pyannote[55].end |
218.61284375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
221.12721875 |
transcript.pyannote[56].end |
221.27909375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
221.27909375 |
transcript.pyannote[57].end |
221.44784375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
221.44784375 |
transcript.pyannote[58].end |
221.81909375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
233.66534375 |
transcript.pyannote[59].end |
234.23909375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
239.94284375 |
transcript.pyannote[60].end |
253.05471875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
253.13909375 |
transcript.pyannote[61].end |
261.61034375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
262.03221875 |
transcript.pyannote[62].end |
262.74096875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
263.29784375 |
transcript.pyannote[63].end |
265.82909375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
266.08221875 |
transcript.pyannote[64].end |
266.70659375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
266.40284375 |
transcript.pyannote[65].end |
270.99284375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
271.17846875 |
transcript.pyannote[66].end |
277.23659375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
277.16909375 |
transcript.pyannote[67].end |
281.43846875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
279.56534375 |
transcript.pyannote[68].end |
290.06159375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
285.94409375 |
transcript.pyannote[69].end |
287.24346875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
289.42034375 |
transcript.pyannote[70].end |
297.85784375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
298.09409375 |
transcript.pyannote[71].end |
332.48534375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
298.36409375 |
transcript.pyannote[72].end |
299.15721875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
314.63159375 |
transcript.pyannote[73].end |
314.83409375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
317.60159375 |
transcript.pyannote[74].end |
317.68596875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
317.78721875 |
transcript.pyannote[75].end |
318.15846875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
319.15409375 |
transcript.pyannote[76].end |
320.23409375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
324.40221875 |
transcript.pyannote[77].end |
324.72284375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
330.81471875 |
transcript.pyannote[78].end |
331.16909375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
332.58659375 |
transcript.pyannote[79].end |
335.52284375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
338.45909375 |
transcript.pyannote[80].end |
339.42096875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
339.50534375 |
transcript.pyannote[81].end |
340.70346875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
340.39971875 |
transcript.pyannote[82].end |
341.78346875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
341.61471875 |
transcript.pyannote[83].end |
346.52534375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
346.98096875 |
transcript.pyannote[84].end |
349.95096875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
349.96784375 |
transcript.pyannote[85].end |
349.98471875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
349.98471875 |
transcript.pyannote[86].end |
354.37221875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
353.00534375 |
transcript.pyannote[87].end |
353.35971875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
354.52409375 |
transcript.pyannote[88].end |
359.92409375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
360.44721875 |
transcript.pyannote[89].end |
362.16846875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
361.57784375 |
transcript.pyannote[90].end |
369.22221875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
369.08721875 |
transcript.pyannote[91].end |
376.22534375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
369.45846875 |
transcript.pyannote[92].end |
369.79596875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
375.44909375 |
transcript.pyannote[93].end |
377.72721875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
376.41096875 |
transcript.pyannote[94].end |
378.35159375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
378.23346875 |
transcript.pyannote[95].end |
379.09409375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
379.21221875 |
transcript.pyannote[96].end |
379.44846875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
379.78596875 |
transcript.pyannote[97].end |
382.60409375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
384.30846875 |
transcript.pyannote[98].end |
387.32909375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
387.61596875 |
transcript.pyannote[99].end |
388.02096875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
388.22346875 |
transcript.pyannote[100].end |
398.87159375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
399.51284375 |
transcript.pyannote[101].end |
399.96846875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
400.12034375 |
transcript.pyannote[102].end |
403.90034375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
403.96784375 |
transcript.pyannote[103].end |
409.13159375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
409.63784375 |
transcript.pyannote[104].end |
411.49409375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
411.54471875 |
transcript.pyannote[105].end |
413.14784375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
414.31221875 |
transcript.pyannote[106].end |
415.32471875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
415.98284375 |
transcript.pyannote[107].end |
418.17659375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
418.34534375 |
transcript.pyannote[108].end |
419.74596875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
420.35346875 |
transcript.pyannote[109].end |
437.85284375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
433.33034375 |
transcript.pyannote[110].end |
433.36409375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
433.80284375 |
transcript.pyannote[111].end |
433.92096875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
437.07659375 |
transcript.pyannote[112].end |
437.12721875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
438.22409375 |
transcript.pyannote[113].end |
445.90221875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
447.10034375 |
transcript.pyannote[114].end |
447.75846875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
448.06221875 |
transcript.pyannote[115].end |
452.23034375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
452.98971875 |
transcript.pyannote[116].end |
473.03721875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
461.57909375 |
transcript.pyannote[117].end |
461.96721875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
473.18909375 |
transcript.pyannote[118].end |
484.68096875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
484.95096875 |
transcript.pyannote[119].end |
487.26284375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
487.44846875 |
transcript.pyannote[120].end |
495.90284375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
496.02096875 |
transcript.pyannote[121].end |
506.95596875 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
507.36096875 |
transcript.pyannote[122].end |
549.24471875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
517.24971875 |
transcript.pyannote[123].end |
517.60409375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
520.33784375 |
transcript.pyannote[124].end |
520.64159375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
533.43284375 |
transcript.pyannote[125].end |
533.85471875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
547.67534375 |
transcript.pyannote[126].end |
547.97909375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
549.07596875 |
transcript.pyannote[127].end |
553.05846875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
553.14284375 |
transcript.pyannote[128].end |
554.74596875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
555.13409375 |
transcript.pyannote[129].end |
568.21221875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
568.44846875 |
transcript.pyannote[130].end |
570.15284375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
570.40596875 |
transcript.pyannote[131].end |
572.83596875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
573.00471875 |
transcript.pyannote[132].end |
577.27409375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
577.29096875 |
transcript.pyannote[133].end |
577.76346875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
578.10096875 |
transcript.pyannote[134].end |
579.16409375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
579.48471875 |
transcript.pyannote[135].end |
582.10034375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
582.40409375 |
transcript.pyannote[136].end |
583.41659375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
583.55159375 |
transcript.pyannote[137].end |
587.73659375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
588.10784375 |
transcript.pyannote[138].end |
590.79096875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
591.06096875 |
transcript.pyannote[139].end |
593.47409375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
593.76096875 |
transcript.pyannote[140].end |
596.52846875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
596.95034375 |
transcript.pyannote[141].end |
600.79784375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
601.69221875 |
transcript.pyannote[142].end |
602.82284375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
603.17721875 |
transcript.pyannote[143].end |
607.12596875 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
607.75034375 |
transcript.pyannote[144].end |
638.58096875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
638.68221875 |
transcript.pyannote[145].end |
657.75096875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
658.72971875 |
transcript.pyannote[146].end |
660.11346875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
660.53534375 |
transcript.pyannote[147].end |
663.99471875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
664.23096875 |
transcript.pyannote[148].end |
666.37409375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
666.81284375 |
transcript.pyannote[149].end |
676.97159375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
677.22471875 |
transcript.pyannote[150].end |
677.54534375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
677.78159375 |
transcript.pyannote[151].end |
682.97909375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
683.23221875 |
transcript.pyannote[152].end |
686.50596875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
686.62409375 |
transcript.pyannote[153].end |
689.59409375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
689.81346875 |
transcript.pyannote[154].end |
691.09596875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
691.24784375 |
transcript.pyannote[155].end |
693.05346875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
693.82971875 |
transcript.pyannote[156].end |
695.06159375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
697.74471875 |
transcript.pyannote[157].end |
701.89596875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
702.31784375 |
transcript.pyannote[158].end |
708.79784375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
708.78096875 |
transcript.pyannote[159].end |
716.42534375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
716.69534375 |
transcript.pyannote[160].end |
724.12034375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
724.93034375 |
transcript.pyannote[161].end |
729.62159375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
728.38971875 |
transcript.pyannote[162].end |
730.60034375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
731.14034375 |
transcript.pyannote[163].end |
739.30784375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
739.25721875 |
transcript.pyannote[164].end |
744.94409375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
744.97784375 |
transcript.pyannote[165].end |
745.02846875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
745.12971875 |
transcript.pyannote[166].end |
760.97534375 |
transcript.whisperx[0].start |
2.998 |
transcript.whisperx[0].end |
3.638 |
transcript.whisperx[0].text |
今天就12月30日 |
transcript.whisperx[1].start |
21.687 |
transcript.whisperx[1].end |
47.434 |
transcript.whisperx[1].text |
明天12月31日禮拜三就元旦了本來在20日如果順利的話政交稅當成降稅減半就可以完成了那就沒什麼問題了27日還是沒有通過現在只剩下明天院會會開但是我也不確定他會不會列入優先法案因為我看一下優先法案國民黨好像是想先脫老人福利法、就業服務法 |
transcript.whisperx[2].start |
48.214 |
transcript.whisperx[2].end |
55.59 |
transcript.whisperx[2].text |
也沒有把這一個這個政交稅當初降稅減半納進去那我請教你那如果都沒有納進去明天沒有討論沒辦法通過的話那該怎麼辦 |
transcript.whisperx[3].start |
58.772 |
transcript.whisperx[3].end |
78.733 |
transcript.whisperx[3].text |
沒有,如果沒有通過的話就會造成這個有關那個券商就要用千分之三的來課當中了因為現行的法條就是到113年12月31日對,好,那就是用千分之三因為沒有這個再延三年嘛就用千分之三,好,那就會衍生後續的問題 |
transcript.whisperx[4].start |
80.555 |
transcript.whisperx[4].end |
81.156 |
transcript.whisperx[4].text |
李坤城議員 |
transcript.whisperx[5].start |
101.934 |
transcript.whisperx[5].end |
123.571 |
transcript.whisperx[5].text |
按照這個政交稅法的第8條按照這個機關要按其貸增稅額給予千分之一的獎金然後呢 112年呢政交稅額實增額是1793億然後呢貸增獎金的總額是1.91那所以呢平均102家券商平均每家是187萬那請教一下 |
transcript.whisperx[6].start |
126.013 |
transcript.whisperx[6].end |
138.285 |
transcript.whisperx[6].text |
那如果發生了這個空窗期這些電腦系統的費用調整跟加班的這些人力費用誰要來處理 誰要來負責 券商還是財政部還是金管會還是國民黨跟民眾黨 |
transcript.whisperx[7].start |
140.817 |
transcript.whisperx[7].end |
165.678 |
transcript.whisperx[7].text |
其實財政部所支付的就是他代徵的一個我們委任他去做代徵嘛那所以按照那個時徵的數然後因地的比例給予而且一個最高限那自己這些費用的部分並不在於財政部要支付給他的那誰要支付這個費用那就是恐怕要券商自行負擔了券商自行負擔那券商人覺得很倒霉他巴不得說希望說趕快通過然後現在就有人力又有系統要調整 |
transcript.whisperx[8].start |
166.579 |
transcript.whisperx[8].end |
184.473 |
transcript.whisperx[8].text |
所以接下來這些成本都是由眷方自己去吸收就對了?要面臨這樣的一個問題而且這個整個會是比較複雜的是好那再請教一下齁那如果說啦齁這個在明天有完成這個三讀的話那這樣來得及嗎? |
transcript.whisperx[9].start |
185.868 |
transcript.whisperx[9].end |
211.86 |
transcript.whisperx[9].text |
如果我們真的希望是明天真的能夠順利的完成三讀後續的行政的一個跑的流程我們財政部會盡力的一個來做有辦法在一天之內完成嗎這個可能就沒有什麼因為接下來就是元旦了嘛對就是元旦了那我們盡力來做完這個部分而且能夠希望能夠盡快是我知道啦那我就說因為接下來就是元旦了一天之內能夠完成 |
transcript.whisperx[10].start |
213.127 |
transcript.whisperx[10].end |
236.74 |
transcript.whisperx[10].text |
對然後就是說這個1月2號開始就繼續1月2號就開盤了嘛對啊那就會運用但是交割的時間是在兩天後嘛1月6號交割所以我們一定會再用盡快的時間把這個流程跑完其實很重要就是讓券商也好股民也好社會大眾可以知道說後續因為現在是處於一個不安定的狀況是啊我們真的很希望大院能夠盡快審议三讀通過是 |
transcript.whisperx[11].start |
240 |
transcript.whisperx[11].end |
262.388 |
transcript.whisperx[11].text |
我們也希望我們一直列為優先的討論事項但是在野黨沒有把這個放在前面所以說如果明天萬一順利有三讀通過的話時間上是來得及我們財政部盡力的去做努力的去因為我們希望讓這個股市的資本市場能夠是一個安定的一個狀態是那如果 |
transcript.whisperx[12].start |
263.368 |
transcript.whisperx[12].end |
286.582 |
transcript.whisperx[12].text |
明天沒有辦法順利刪讀勒?要等到這一個再隔幾天5號這個禮拜五再刪讀勒?那我想金管會已經說他做了最壞的打算最好的準備卷商都必須要做相關的一些調整那所以在這幾天交易的勒?就是一樣按照簽名之三?如果沒辦法敢在這個一定時間完成那就只有按現行的法律來可證然後等到刪讀之後?113年就 |
transcript.whisperx[13].start |
289.624 |
transcript.whisperx[13].end |
313.076 |
transcript.whisperx[13].text |
所以有可能有幾天是簽分之三然後三讀通過之後比如說禮拜五通過之後才用這個簽分之1.5會這樣子嗎我們的修正條文是它的起日在106年的4月幾號對不對然後到截止日所以目前是113年12月31號那接下來如果修法通過是到116年的12月31號 |
transcript.whisperx[14].start |
315.037 |
transcript.whisperx[14].end |
315.758 |
transcript.whisperx[14].text |
所以說如果這樣子還涉及到退稅的問題就對了 |
transcript.whisperx[15].start |
338.476 |
transcript.whisperx[15].end |
359.425 |
transcript.whisperx[15].text |
因為它是延續性的所以說如果有可能就是說幾天的教育日是千分之三但是因為如果通過之後就要退稅給這些人就對了對對對那可是就變得很複雜是不是產生一些因為整個是程式要做調整修正那涉及到的事情就很多了對 |
transcript.whisperx[16].start |
360.506 |
transcript.whisperx[16].end |
386.782 |
transcript.whisperx[16].text |
我是希望順利通過但是看這個樣子不一定能順利通過所以你們真的要做最壞的這個打算跟準備了對是的是的是我想金管會也在這方面在做跟那個證交所他們都在做這方面的準備工作是好那我請一下這個副秘書長跟主計長部長可能也要留步啦這等一下都是連貫性的謝謝那我先問一下副秘書長好了 |
transcript.whisperx[17].start |
388.345 |
transcript.whisperx[17].end |
412.081 |
transcript.whisperx[17].text |
我先問一下在這一個12月20號通過的這一個三個法案包含限速法、選罷法、財劃法行政院都收到了嗎目前只有收到一個財劃法還沒有收到目前收到什麼只有收到那個限速法只有收到限速法只有收到限速法財劃法跟這個選罷法都還沒有收到 |
transcript.whisperx[18].start |
414.726 |
transcript.whisperx[18].end |
437.422 |
transcript.whisperx[18].text |
這還蠻神奇的我不知道國民黨在做什麼打算就是說理論上這個通過12月12日通過理論上應該是他們會一起送給行政院那我不知道為什麼會先送限數法然後因為我剛剛聽你講我才知道說你們還沒有收到財劃法還沒有所以我就問一下那選爆法你們也沒收到也沒有 |
transcript.whisperx[19].start |
438.303 |
transcript.whisperx[19].end |
451.2 |
transcript.whisperx[19].text |
我不知道政協黨在想什麼不知道要他做什麼東西了不知道在想什麼東西我不知道所以現在財劃法還沒收到還沒有那如果財劃法都沒有收到的話那我們就按照舊的財劃法來做處理囉 |
transcript.whisperx[20].start |
453.859 |
transcript.whisperx[20].end |
472.399 |
transcript.whisperx[20].text |
目前是這樣子,就是說我們會在收到財劃法修正的公文以後,我們會按照憲政賦予的權利,在合法的秩序下,尋求各種救濟的程序。這我知道,這我知道。那我請教一下這個主計長好了,我在你的報告裡面有看到就是說, |
transcript.whisperx[21].start |
473.34 |
transcript.whisperx[21].end |
495.675 |
transcript.whisperx[21].text |
基於這個錢隨事權移轉的原則要搭配事權的監套修正相關的行政作用法一波合理業務給予地方政府辦理這部分你們已經有沒有想到就是說因為我們本來一直在講說這個錢跟權要處理好那甚至地方制度法或是相關的一些法要做這個修法 |
transcript.whisperx[22].start |
496.596 |
transcript.whisperx[22].end |
506.546 |
transcript.whisperx[22].text |
有一些沒有修法的那有沒有在行政程序上面就是說因為我們少了3753億嘛那是不是就是給地方來做處理你們有沒有做好這個相關因應的準備 |
transcript.whisperx[23].start |
507.583 |
transcript.whisperx[23].end |
532.916 |
transcript.whisperx[23].text |
目前是還沒有但是等於是說各部會都必須要去檢討比如說他對縣市的一個補助的計畫是不是仍然維持他補助的比例是不是要縮減他這都必須要看整個一個檢討而且整個一個行政院的施政方針到底是要檢哪些是不是全部都通案顯28%還是說哪些不檢哪些要檢 |
transcript.whisperx[24].start |
533.456 |
transcript.whisperx[24].end |
534.177 |
transcript.whisperx[24].text |
我認為你們要趕快去做這個處理因為他這個 |
transcript.whisperx[25].start |
553.36 |
transcript.whisperx[25].end |
581.846 |
transcript.whisperx[25].text |
國民黨還就是反正就這樣推出去的還就是少了這3700的3億然後支出的話這個稅數的話大概平均會降18%那18%你說有國防、有財政、有交通都會少那你們就是要去做這個調整有些一定是超過18%那有些我們認為很重要比如說國防不能再刪了就可能會沒辦法刪但是沒有辦法刪國防那其他一定相對會減少很多嘛這是第一個 |
transcript.whisperx[26].start |
582.626 |
transcript.whisperx[26].end |
606.912 |
transcript.whisperx[26].text |
第二位就是說你們跟這個原來這個地方政府你們還有這個計劃型的補助款那有可能這個給的比率也會做調整啊因為我看到這個有台南市的立委就講有可能這個財劃法通過之後會得不償失雖然多了這個統籌分配款但是有可能計劃型的補助有可能會變零啊會是減少會不會發生這種情況就是計劃型的補助款會再做調整 |
transcript.whisperx[27].start |
608.196 |
transcript.whisperx[27].end |
631.652 |
transcript.whisperx[27].text |
調整是一定會但怎麼調整還是看部會的一個策略那第二個就是說其實像在計劃型補助是六都在偏多啊芝霞市的六都比較多啊這個部分呢所以六都的影響會比較大如果說要做調整那另外也說明一下就是說前瞻計劃裡面其實有4000多億都已經核定但是還沒有編列預算的部分 |
transcript.whisperx[28].start |
632.352 |
transcript.whisperx[28].end |
658.098 |
transcript.whisperx[28].text |
這個部分裡面軌道建設就佔2700多那這勢必也一定受到影響以上一個說明就是說齁除了這個已經從中央挖走3750之外現在齁國民黨他們還要通過這個老人福利法就這一個所得稅急峻齁未達百分之百分之二十啊齁他們現在大概有輿論壓力再修正是變成百分之五那如果這樣下去的話又是在挖中央的錢啊是 |
transcript.whisperx[29].start |
658.769 |
transcript.whisperx[29].end |
662.37 |
transcript.whisperx[29].text |
對,這個部分如果說中央增加負擔這個就是屬於法律15那這個部分那其他三減部會三減的金額又要往上提升是啊 |
transcript.whisperx[30].start |
677.936 |
transcript.whisperx[30].end |
694.807 |
transcript.whisperx[30].text |
如果齁我再提醒啊這個只是其中一個案子福利法有可能還有其他的錢跟法案就是他從中央花了錢但是呢他又多了其他的錢跟法案又讓你中央出錢那你中央的錢是從哪裡來部長要舉債嗎舉債的話我們公共債務法有在線的上線的規定不是說 |
transcript.whisperx[31].start |
702.401 |
transcript.whisperx[31].end |
706.403 |
transcript.whisperx[31].text |
其實我有跟你討論過了,如果把這個統籌分配款算進去,再加上這個我們這個前瞻預算、特別預算其實你已經沒有錢可以再去做那個舉債了啊,你已經會超過這15%的上限了啊 |
transcript.whisperx[32].start |
724.991 |
transcript.whisperx[32].end |
726.732 |
transcript.whisperx[32].text |
舉債不可行只剩下稅數的部分來做調整來做刪除了 |
transcript.whisperx[33].start |
745.946 |
transcript.whisperx[33].end |
759.211 |
transcript.whisperx[33].text |
這個是全台灣人民要去共同承擔的啦但是相關的一些作用法那些法案一些法條該做修正的你們要趕快先去做處理啦你們可能要加班做處理了這個年大概應該不是很好過了謝謝 |