video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/9b765842ec257966b3c451f2c7cf79c9768d6645aa7846736f2411ecd13e000b10bd954f519c80315ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
郭國文 |
委員發言時間 |
10:05:19 - 10:18:09 |
影片長度 |
770 |
會議時間 |
2024-11-28T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期財政委員會第10次全體委員會議(事由:一、邀請行政院主計總處陳主計長淑姿、審計部陳審計長瑞敏率所屬單位主管列席業務報告,並備質詢。
二、審查中華民國114年度中央政府總預算案有關主計總處暨審計部、審計部臺北市審計處、審計部新北市審計處、審計部桃園市審計處、審計部臺中市審計處、審計部臺南市審計處、審計部高雄市審計處部分。(詢答及處理)
三、審查中華民國114年度中央政府總預算案有關直轄市及縣市政府。調整軍公教人員待遇準備。災害準備金。第二預備金。(詢答及處理)
【預算提案截止時間:11月26日(二)中午12時】
【11月25日及28日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
2.81534375 |
transcript.pyannote[0].end |
3.64221875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
3.92909375 |
transcript.pyannote[1].end |
5.61659375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
5.92034375 |
transcript.pyannote[2].end |
6.30846875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
6.73034375 |
transcript.pyannote[3].end |
8.97471875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
12.11346875 |
transcript.pyannote[4].end |
12.68721875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
13.66596875 |
transcript.pyannote[5].end |
14.34096875 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
15.65721875 |
transcript.pyannote[6].end |
38.84346875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
33.71346875 |
transcript.pyannote[7].end |
34.08471875 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
39.72096875 |
transcript.pyannote[8].end |
41.57721875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
41.66159375 |
transcript.pyannote[9].end |
42.40409375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
43.01159375 |
transcript.pyannote[10].end |
50.94284375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
51.53346875 |
transcript.pyannote[11].end |
63.90284375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
55.29659375 |
transcript.pyannote[12].end |
55.70159375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
63.21096875 |
transcript.pyannote[13].end |
79.91721875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
80.18721875 |
transcript.pyannote[14].end |
118.94909375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
87.29159375 |
transcript.pyannote[15].end |
87.47721875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
87.56159375 |
transcript.pyannote[16].end |
87.74721875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
98.07471875 |
transcript.pyannote[17].end |
99.35721875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
105.31409375 |
transcript.pyannote[18].end |
105.34784375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
105.34784375 |
transcript.pyannote[19].end |
105.63471875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
105.63471875 |
transcript.pyannote[20].end |
106.02284375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
110.54534375 |
transcript.pyannote[21].end |
110.57909375 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
110.57909375 |
transcript.pyannote[22].end |
111.28784375 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
116.60346875 |
transcript.pyannote[23].end |
117.07596875 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
118.81409375 |
transcript.pyannote[24].end |
119.30346875 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
121.12596875 |
transcript.pyannote[25].end |
122.54346875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
121.22721875 |
transcript.pyannote[26].end |
121.81784375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
121.85159375 |
transcript.pyannote[27].end |
139.46909375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
139.99221875 |
transcript.pyannote[28].end |
140.86971875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
141.49409375 |
transcript.pyannote[29].end |
145.66221875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
146.43846875 |
transcript.pyannote[30].end |
148.02471875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
148.59846875 |
transcript.pyannote[31].end |
150.11721875 |
transcript.pyannote[32].speaker |
SPEAKER_03 |
transcript.pyannote[32].start |
150.37034375 |
transcript.pyannote[32].end |
150.94409375 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
151.29846875 |
transcript.pyannote[33].end |
151.99034375 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
152.39534375 |
transcript.pyannote[34].end |
166.99221875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
160.98471875 |
transcript.pyannote[35].end |
161.35596875 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
167.17784375 |
transcript.pyannote[36].end |
178.34909375 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
178.73721875 |
transcript.pyannote[37].end |
182.97284375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
182.97284375 |
transcript.pyannote[38].end |
184.06971875 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
184.40721875 |
transcript.pyannote[39].end |
184.42409375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
184.42409375 |
transcript.pyannote[40].end |
187.68096875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
188.27159375 |
transcript.pyannote[41].end |
191.44409375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
192.15284375 |
transcript.pyannote[42].end |
194.02596875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
194.86971875 |
transcript.pyannote[43].end |
201.56909375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
201.88971875 |
transcript.pyannote[44].end |
205.12971875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
205.26471875 |
transcript.pyannote[45].end |
208.62284375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
209.02784375 |
transcript.pyannote[46].end |
215.00159375 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
215.08596875 |
transcript.pyannote[47].end |
222.73034375 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
223.52346875 |
transcript.pyannote[48].end |
230.98221875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
231.72471875 |
transcript.pyannote[49].end |
237.41159375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
238.05284375 |
transcript.pyannote[50].end |
245.64659375 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
244.06034375 |
transcript.pyannote[51].end |
245.03909375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
246.16971875 |
transcript.pyannote[52].end |
248.70096875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
249.00471875 |
transcript.pyannote[53].end |
250.05096875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
250.87784375 |
transcript.pyannote[54].end |
251.31659375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
252.31221875 |
transcript.pyannote[55].end |
253.71284375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
253.99971875 |
transcript.pyannote[56].end |
259.87221875 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
258.38721875 |
transcript.pyannote[57].end |
263.97284375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
263.53409375 |
transcript.pyannote[58].end |
320.57159375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
320.65596875 |
transcript.pyannote[59].end |
323.47409375 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
323.92971875 |
transcript.pyannote[60].end |
325.04346875 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
325.54971875 |
transcript.pyannote[61].end |
325.98846875 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
326.25846875 |
transcript.pyannote[62].end |
332.97471875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
333.14346875 |
transcript.pyannote[63].end |
334.34159375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
334.76346875 |
transcript.pyannote[64].end |
335.57346875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
335.89409375 |
transcript.pyannote[65].end |
342.91409375 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
343.47096875 |
transcript.pyannote[66].end |
343.84221875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
344.77034375 |
transcript.pyannote[67].end |
346.33971875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
347.06534375 |
transcript.pyannote[68].end |
359.94096875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
360.68346875 |
transcript.pyannote[69].end |
361.03784375 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
361.03784375 |
transcript.pyannote[70].end |
362.84346875 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
363.26534375 |
transcript.pyannote[71].end |
365.72909375 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
366.72471875 |
transcript.pyannote[72].end |
367.77096875 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
367.92284375 |
transcript.pyannote[73].end |
372.02346875 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
372.46221875 |
transcript.pyannote[74].end |
373.22159375 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
373.81221875 |
transcript.pyannote[75].end |
380.95034375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
377.37284375 |
transcript.pyannote[76].end |
377.42346875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
377.42346875 |
transcript.pyannote[77].end |
377.96346875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
377.96346875 |
transcript.pyannote[78].end |
378.73971875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
378.85784375 |
transcript.pyannote[79].end |
380.19096875 |
transcript.pyannote[80].speaker |
SPEAKER_03 |
transcript.pyannote[80].start |
381.77721875 |
transcript.pyannote[80].end |
384.40971875 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
384.84846875 |
transcript.pyannote[81].end |
385.60784375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
384.96659375 |
transcript.pyannote[82].end |
385.43909375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
385.64159375 |
transcript.pyannote[83].end |
386.63721875 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
386.67096875 |
transcript.pyannote[84].end |
388.02096875 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
386.95784375 |
transcript.pyannote[85].end |
388.10534375 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
388.35846875 |
transcript.pyannote[86].end |
393.79221875 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
388.81409375 |
transcript.pyannote[87].end |
392.23971875 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
393.79221875 |
transcript.pyannote[88].end |
398.50034375 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
396.61034375 |
transcript.pyannote[89].end |
397.38659375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
398.50034375 |
transcript.pyannote[90].end |
400.81221875 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
398.53409375 |
transcript.pyannote[91].end |
399.09096875 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
402.26346875 |
transcript.pyannote[92].end |
404.72721875 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
404.82846875 |
transcript.pyannote[93].end |
405.25034375 |
transcript.pyannote[94].speaker |
SPEAKER_03 |
transcript.pyannote[94].start |
404.91284375 |
transcript.pyannote[94].end |
405.38534375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
405.38534375 |
transcript.pyannote[95].end |
406.22909375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
406.46534375 |
transcript.pyannote[96].end |
406.76909375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
407.12346875 |
transcript.pyannote[97].end |
417.53534375 |
transcript.pyannote[98].speaker |
SPEAKER_03 |
transcript.pyannote[98].start |
410.07659375 |
transcript.pyannote[98].end |
411.46034375 |
transcript.pyannote[99].speaker |
SPEAKER_03 |
transcript.pyannote[99].start |
413.28284375 |
transcript.pyannote[99].end |
413.68784375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
418.71659375 |
transcript.pyannote[100].end |
433.02659375 |
transcript.pyannote[101].speaker |
SPEAKER_03 |
transcript.pyannote[101].start |
419.03721875 |
transcript.pyannote[101].end |
419.17221875 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
420.03284375 |
transcript.pyannote[102].end |
420.99471875 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
425.73659375 |
transcript.pyannote[103].end |
426.37784375 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
431.42346875 |
transcript.pyannote[104].end |
431.60909375 |
transcript.pyannote[105].speaker |
SPEAKER_03 |
transcript.pyannote[105].start |
431.64284375 |
transcript.pyannote[105].end |
431.67659375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
435.52409375 |
transcript.pyannote[106].end |
436.62096875 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
437.36346875 |
transcript.pyannote[107].end |
439.48971875 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
439.54034375 |
transcript.pyannote[108].end |
439.60784375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
439.60784375 |
transcript.pyannote[109].end |
440.02971875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
439.62471875 |
transcript.pyannote[110].end |
441.80159375 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
442.67909375 |
transcript.pyannote[111].end |
447.57284375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
448.31534375 |
transcript.pyannote[112].end |
448.66971875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
449.07471875 |
transcript.pyannote[113].end |
451.09971875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
451.42034375 |
transcript.pyannote[114].end |
451.67346875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
453.34409375 |
transcript.pyannote[115].end |
463.46909375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
456.87096875 |
transcript.pyannote[116].end |
456.95534375 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
462.57471875 |
transcript.pyannote[117].end |
464.61659375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
463.89096875 |
transcript.pyannote[118].end |
469.17284375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
467.50221875 |
transcript.pyannote[119].end |
467.70471875 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
467.73846875 |
transcript.pyannote[120].end |
467.77221875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
468.63284375 |
transcript.pyannote[121].end |
485.30534375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
476.73284375 |
transcript.pyannote[122].end |
476.96909375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
476.96909375 |
transcript.pyannote[123].end |
477.13784375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
485.40659375 |
transcript.pyannote[124].end |
488.14034375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
488.79846875 |
transcript.pyannote[125].end |
489.69284375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
489.72659375 |
transcript.pyannote[126].end |
491.11034375 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
491.16096875 |
transcript.pyannote[127].end |
497.21909375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
495.22784375 |
transcript.pyannote[128].end |
497.91096875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
497.87721875 |
transcript.pyannote[129].end |
498.29909375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
498.41721875 |
transcript.pyannote[130].end |
498.77159375 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
498.73784375 |
transcript.pyannote[131].end |
500.44221875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
500.96534375 |
transcript.pyannote[132].end |
501.62346875 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
502.16346875 |
transcript.pyannote[133].end |
504.49221875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
504.32346875 |
transcript.pyannote[134].end |
504.76221875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
504.76221875 |
transcript.pyannote[135].end |
506.80409375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
506.82096875 |
transcript.pyannote[136].end |
508.06971875 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
507.88409375 |
transcript.pyannote[137].end |
509.16659375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
508.94721875 |
transcript.pyannote[138].end |
509.31846875 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
509.30159375 |
transcript.pyannote[139].end |
511.83284375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
512.03534375 |
transcript.pyannote[140].end |
518.48159375 |
transcript.pyannote[141].speaker |
SPEAKER_03 |
transcript.pyannote[141].start |
518.48159375 |
transcript.pyannote[141].end |
518.98784375 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
519.22409375 |
transcript.pyannote[142].end |
526.64909375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
523.76346875 |
transcript.pyannote[143].end |
523.99971875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
526.36221875 |
transcript.pyannote[144].end |
528.15096875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
527.37471875 |
transcript.pyannote[145].end |
532.79159375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
532.92659375 |
transcript.pyannote[146].end |
543.08534375 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
532.99409375 |
transcript.pyannote[147].end |
533.33159375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
540.63846875 |
transcript.pyannote[148].end |
541.66784375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
542.84909375 |
transcript.pyannote[149].end |
544.77284375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
544.80659375 |
transcript.pyannote[150].end |
544.84034375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
544.84034375 |
transcript.pyannote[151].end |
545.24534375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
545.24534375 |
transcript.pyannote[152].end |
558.99846875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
558.79596875 |
transcript.pyannote[153].end |
576.02534375 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
562.74471875 |
transcript.pyannote[154].end |
563.21721875 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
566.45721875 |
transcript.pyannote[155].end |
573.39284375 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
574.59096875 |
transcript.pyannote[156].end |
588.81659375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
578.77596875 |
transcript.pyannote[157].end |
579.83909375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
582.33659375 |
transcript.pyannote[158].end |
582.84284375 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
587.17971875 |
transcript.pyannote[159].end |
587.63534375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
587.63534375 |
transcript.pyannote[160].end |
587.70284375 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
589.08659375 |
transcript.pyannote[161].end |
598.11471875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
599.00909375 |
transcript.pyannote[162].end |
599.81909375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
599.07659375 |
transcript.pyannote[163].end |
599.80221875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
599.81909375 |
transcript.pyannote[164].end |
599.85284375 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
600.54471875 |
transcript.pyannote[165].end |
601.01721875 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
601.45596875 |
transcript.pyannote[166].end |
605.86034375 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
606.61971875 |
transcript.pyannote[167].end |
607.17659375 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
607.86846875 |
transcript.pyannote[168].end |
609.04971875 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
609.48846875 |
transcript.pyannote[169].end |
610.04534375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
610.16346875 |
transcript.pyannote[170].end |
612.76221875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
613.35284375 |
transcript.pyannote[171].end |
613.84221875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
615.12471875 |
transcript.pyannote[172].end |
617.85846875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
618.60096875 |
transcript.pyannote[173].end |
622.14471875 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
622.63409375 |
transcript.pyannote[174].end |
624.23721875 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
625.03034375 |
transcript.pyannote[175].end |
625.41846875 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
625.73909375 |
transcript.pyannote[176].end |
626.22846875 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
626.26221875 |
transcript.pyannote[177].end |
628.06784375 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
628.15221875 |
transcript.pyannote[178].end |
628.65846875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
628.82721875 |
transcript.pyannote[179].end |
636.60659375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
636.97784375 |
transcript.pyannote[180].end |
637.38284375 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
637.29846875 |
transcript.pyannote[181].end |
638.54721875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
638.93534375 |
transcript.pyannote[182].end |
643.17096875 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
643.18784375 |
transcript.pyannote[183].end |
648.68909375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
644.84159375 |
transcript.pyannote[184].end |
645.98909375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
650.61284375 |
transcript.pyannote[185].end |
653.12721875 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
650.86596875 |
transcript.pyannote[186].end |
651.32159375 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
653.12721875 |
transcript.pyannote[187].end |
653.63346875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
654.00471875 |
transcript.pyannote[188].end |
655.20284375 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
655.23659375 |
transcript.pyannote[189].end |
656.97471875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
656.67096875 |
transcript.pyannote[190].end |
676.09409375 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
663.87659375 |
transcript.pyannote[191].end |
664.23096875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
664.23096875 |
transcript.pyannote[192].end |
664.26471875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
671.41971875 |
transcript.pyannote[193].end |
671.77409375 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
675.04784375 |
transcript.pyannote[194].end |
694.42034375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
694.62284375 |
transcript.pyannote[195].end |
695.63534375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
694.97721875 |
transcript.pyannote[196].end |
696.69846875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
696.83346875 |
transcript.pyannote[197].end |
703.11096875 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
698.50409375 |
transcript.pyannote[198].end |
699.82034375 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
700.79909375 |
transcript.pyannote[199].end |
717.37034375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
703.87034375 |
transcript.pyannote[200].end |
704.41034375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
706.85721875 |
transcript.pyannote[201].end |
707.11034375 |
transcript.pyannote[202].speaker |
SPEAKER_03 |
transcript.pyannote[202].start |
717.57284375 |
transcript.pyannote[202].end |
717.94409375 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
717.89346875 |
transcript.pyannote[203].end |
726.80346875 |
transcript.pyannote[204].speaker |
SPEAKER_03 |
transcript.pyannote[204].start |
726.46596875 |
transcript.pyannote[204].end |
728.45721875 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
727.29284375 |
transcript.pyannote[205].end |
727.93409375 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
728.08596875 |
transcript.pyannote[206].end |
764.08034375 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
730.63409375 |
transcript.pyannote[207].end |
731.05596875 |
transcript.pyannote[208].speaker |
SPEAKER_03 |
transcript.pyannote[208].start |
746.02409375 |
transcript.pyannote[208].end |
746.44596875 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
746.44596875 |
transcript.pyannote[209].end |
746.53034375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
759.32159375 |
transcript.pyannote[210].end |
759.37221875 |
transcript.pyannote[211].speaker |
SPEAKER_03 |
transcript.pyannote[211].start |
759.37221875 |
transcript.pyannote[211].end |
759.77721875 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
764.38409375 |
transcript.pyannote[212].end |
766.84784375 |
transcript.pyannote[213].speaker |
SPEAKER_03 |
transcript.pyannote[213].start |
767.03346875 |
transcript.pyannote[213].end |
767.06721875 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
767.06721875 |
transcript.pyannote[214].end |
767.40471875 |
transcript.pyannote[215].speaker |
SPEAKER_03 |
transcript.pyannote[215].start |
767.40471875 |
transcript.pyannote[215].end |
767.43846875 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
767.43846875 |
transcript.pyannote[216].end |
767.52284375 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
767.55659375 |
transcript.pyannote[217].end |
769.26096875 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
768.53534375 |
transcript.pyannote[218].end |
770.18909375 |
transcript.whisperx[0].start |
3.007 |
transcript.whisperx[0].end |
5.191 |
transcript.whisperx[0].text |
現在主席有請主計長跟審計長主計長跟審計長審計長委員好 |
transcript.whisperx[1].start |
16.117 |
transcript.whisperx[1].end |
42.14 |
transcript.whisperx[1].text |
主席長前兩天主計總處有公開一個記者會就是說我們這一個薪資的差距指標這個中位數的部分呢2023年的部分已經降到4.05倍也就是說2012年以來降低的新低嘛對不對某個程度就是說我們貧富差距似乎已經有緩和改善 |
transcript.whisperx[2].start |
43.081 |
transcript.whisperx[2].end |
50.809 |
transcript.whisperx[2].text |
當然我是覺得個人一直認為這個薪資的指標這個非常重要你有沒有信心將來在2024之後低於這一個市啊 |
transcript.whisperx[3].start |
51.601 |
transcript.whisperx[3].end |
80.096 |
transcript.whisperx[3].text |
事實上這個貧富的一個差距我們也一直都有在努力所以有很多的移轉支出也是讓他的一個一個差距在縮小那所以目前我們都是從縮小的一個狀態來因為本席是要就較於您的是部分因為前天就是卓院長有提到所謂的二上一下一平衡的數據經濟成長上人均GDP上然後呢失業率下然後GPI一平 |
transcript.whisperx[4].start |
80.256 |
transcript.whisperx[4].end |
84.858 |
transcript.whisperx[4].text |
審計部、審計部新北市審計處、審計部新北市審計處、審計部新北市審計處、審計部新北市審計處、審計部新北市審計 |
transcript.whisperx[5].start |
98.763 |
transcript.whisperx[5].end |
118.311 |
transcript.whisperx[5].text |
主計總處能不能把這個列為你們今天來統計最重要的5個指標好不好第一個就要跟主計長說明了這個有些相關指標其實是非常重要也讓院長知道一下還有一個貧富差距指標是重要的麻煩做一個轉達主計長你稍作休息一下我問一下審計長 |
transcript.whisperx[6].start |
123.525 |
transcript.whisperx[6].end |
144.634 |
transcript.whisperx[6].text |
審議長,本席就效於您最近的政府機關不論是中央跟地方都收到許許多多霸凌的事件特別本席在開完記者會之後就收到很多檢舉特別是公部門我問你一下審計部門當中到底有沒有察覺這個問題 |
transcript.whisperx[7].start |
146.482 |
transcript.whisperx[7].end |
158.293 |
transcript.whisperx[7].text |
您有沒有做過類似的這個這個調查報告有沒有這個我們向委員坦白一下因為這個和財務上的關聯性不是那麼強所以我們要查核的數項還蠻多的但是 |
transcript.whisperx[8].start |
168.322 |
transcript.whisperx[8].end |
190.837 |
transcript.whisperx[8].text |
今天發現這一個可能我們也會可能因為這個好像還蠻普遍的所以我們會來就這一個進行專案調查專案調查對我還沒問你你就知道我要問什麼了你算很聰明有時候財務上沒有關係財跟人有關聯這是人的問題對不對 |
transcript.whisperx[9].start |
195.312 |
transcript.whisperx[9].end |
222.484 |
transcript.whisperx[9].text |
財跟預算事情人、財、市這三件事情都有關聯啊人要依財去執行事情啊不是嗎那人出了問題的時候跟你有沒有審計有沒有關聯以這樣的看法就是應該有關聯更何況啊你知道嗎人事總處啊你要先去做一個審計調查啦人事總處居然啊公布一個所謂的反霸凌的這個行政規範公布完之後就跟他沒事了 |
transcript.whisperx[10].start |
223.601 |
transcript.whisperx[10].end |
249.816 |
transcript.whisperx[10].text |
任何一個單位有沒有做這一個那個人事指引相關的指引都沒有他都不曉得一問三不知記者會現場還跟法務部互踢皮球真的是醜態百出啊所以我是覺得審計長你應該要把這個列入一個很重要的重點什麼時候要提出報告你不會半年之後才提出吧還是一年之後 |
transcript.whisperx[11].start |
252.329 |
transcript.whisperx[11].end |
252.689 |
transcript.whisperx[11].text |
法定人數不足 |
transcript.whisperx[12].start |
267.409 |
transcript.whisperx[12].end |
284.567 |
transcript.whisperx[12].text |
心態、文化各種方面要切入另外一個部分跟你也有相關你知道最近的整個霸凌事件也有人講說可能是跟人力上有關聯就是人力分配不足那我就牽扯到總原額法 |
transcript.whisperx[13].start |
285.268 |
transcript.whisperx[13].end |
304.915 |
transcript.whisperx[13].text |
我們那個總原額法的部分是在2000年的時候通過但是20多年前的產物扣除掉這一個有一次從17萬3降到16萬9的部分然後呢你又增加了司法人力1100的部分然後你又把公立醫院去除掉大概目前要控管的人數大概是14萬 |
transcript.whisperx[14].start |
307.256 |
transcript.whisperx[14].end |
322.341 |
transcript.whisperx[14].text |
14萬的情況人事總部要控制14萬可是這個總額原法是在25年前那時候流行這個小政府的這個做法的情況底下所訂定的可是這幾年以來啊凡事都希望政府多做一點 |
transcript.whisperx[15].start |
324.442 |
transcript.whisperx[15].end |
346.088 |
transcript.whisperx[15].text |
業務新增或者是虛擬世界的所造成的對實體世界的一些衝擊的業務也增加很多這種情況底下結果控管人額卻不斷的外包控管人額卻不斷的這個委外的情況底下這業務沒有少啊那個 審計長我想請問你一下 |
transcript.whisperx[16].start |
347.253 |
transcript.whisperx[16].end |
363.677 |
transcript.whisperx[16].text |
這一個人事的這個部分要不要做一個全面性的一個檢討它的編制、原額還有實際聘用的原額那實際人力配置的原額有沒有合理化委員這個是一個要務實面對的一個問題現在好像總研的法是16萬人左右但是 |
transcript.whisperx[17].start |
374.694 |
transcript.whisperx[17].end |
380.678 |
transcript.whisperx[17].text |
實際也控制在十幾萬、十三萬人但是他的臨時人員有六萬人加起來就超過二十萬人所以他臨時人員加就往這邊走所以我的想法 |
transcript.whisperx[18].start |
402.298 |
transcript.whisperx[18].end |
417.148 |
transcript.whisperx[18].text |
那要不要好好檢討?要不要好好檢討嘛?好,我們會去查。好,那又要叫你寫報告了是不是?對,但是啊,我要多久?要不到人。要多久?要多久?你要寫那個可以執行的報告,你要不要寫痛不癢的啊?我不會! |
transcript.whisperx[19].start |
419.037 |
transcript.whisperx[19].end |
445.409 |
transcript.whisperx[19].text |
我們出來都是...如果你寫的都不痛不癢那審計就不是在審計了你知道嗎對 我們會...好不好我們會記住以告好好好 那我再請主計長下來一下你稍微休息一下主計長時間先暫停一下主計長好 時間暫停來 來來來 那個主計長另外一個部分你知道那個...那個國民黨的這個財法法的部分讓我們經費都要大砍 |
transcript.whisperx[20].start |
448.322 |
transcript.whisperx[20].end |
450.718 |
transcript.whisperx[20].text |
你看這邊哪一個最有可能被砍的 |
transcript.whisperx[21].start |
453.39 |
transcript.whisperx[21].end |
478.988 |
transcript.whisperx[21].text |
因為我們現在目前也不知道說整個的一個需求要等到115年如果說實際在審查的時候才看那原則上因為你要為以籌謀啊是是是所以我們原則上現在有初步也跟各部會來我覺得讓你看一下體育經費好了你看我們這次台灣隊12強拿到世界冠軍情收的經費都起了很大的作用那個明年我們體育署編了44億那還有28億的國家體育建設 |
transcript.whisperx[22].start |
483.291 |
transcript.whisperx[22].end |
485.937 |
transcript.whisperx[22].text |
那如果照這個財法法通過的話那我們還會有這麼多錢嗎? |
transcript.whisperx[23].start |
488.868 |
transcript.whisperx[23].end |
518.148 |
transcript.whisperx[23].text |
要對半砍要對半砍對如果按照國民黨這個版本的話體育補助都對半砍的話那我們還有機會拿到冠軍嗎?搞不好連這個這些球員的獎金都要對半喔原來700萬要變350嘛原則上都是這樣都會對半嘛所以球員獎金就會對半嘛所以說這個知識體大臺灣將來有沒有拿到冠軍啊跟這個預算有直接的關聯性嘛對不對 |
transcript.whisperx[24].start |
520.889 |
transcript.whisperx[24].end |
543.996 |
transcript.whisperx[24].text |
我就教你這個問題你們要點出來這個問題點很大有人在做禍國殃民的這個法案的時候你們真的要慎重遲遲的提醒因為這樣子的一個版本大概可能將來我們在預算編列是有很大的一個困難因為等於說大部分都要兌半減但是有一些相關很重要的部分剛剛的說體育建設 |
transcript.whisperx[25].start |
545.716 |
transcript.whisperx[25].end |
551.979 |
transcript.whisperx[25].text |
體育建設28億、剩下14億、體育署14億變12億、體育發展那球員的獎金7千萬就變3千5嘛而且相對的一個市權也沒有移轉像原來老人基金貼包括全民健保1074億市權沒有移轉老人基金貼還有這個國立高中職、老人基金貼、健保 |
transcript.whisperx[26].start |
573.49 |
transcript.whisperx[26].end |
597.836 |
transcript.whisperx[26].text |
都是我們在附大問題。都是大問題。好,那我就看一下嘛。你剛剛講的我就幫你做表做好了。是。債務複習嘛。金沈厚都是中央嘛。公共建設也是中央嘛。老農津貼嘛。還有直接補助縣市政府的。是。這裡頭有一個問題點。我必須說預算法第91條的時候大幅增加稅出稅入的時候要先徵詢行政院的意見。他們要先問你們的意見。 |
transcript.whisperx[27].start |
599.059 |
transcript.whisperx[27].end |
623.681 |
transcript.whisperx[27].text |
這是第一個嘛第二個如果萬一問題出現的時候是不是應該提案修正對不對這有沒有不曉得預算來源在哪裡還有預算法除了91條之外還有一個很重要以後如果真的給地方比較多的錢那地方的這個預算怎麼編怎麼用現在沒有直接的法令規範 |
transcript.whisperx[28].start |
625.063 |
transcript.whisperx[28].end |
648.513 |
transcript.whisperx[28].text |
有沒有沒有現在是用預算法而已對不對是可是預算法第96條的時候有一個地方政府預算應以法律定之現在有這個法律嗎沒有有一個地方他現在目前就只有一個地方制度法還有那個地方制度法是要修這長期本席的主當是不是也應該制定一個地方預算法 |
transcript.whisperx[29].start |
657.374 |
transcript.whisperx[29].end |
674.768 |
transcript.whisperx[29].text |
對目前我們是這樣子因為這個相關的預算的一個籌編的部分它是在地制法裡面有規範但是其他的部分我們在總預算中央總預算籌編的時候會對地方做一些的規範但是事實上是真的沒有在法律上做一個大臉的規範 |
transcript.whisperx[30].start |
676.209 |
transcript.whisperx[30].end |
694.02 |
transcript.whisperx[30].text |
如果毫無節制的任由他去使用這些預算的話那財政機率會更加的敗壞不是嗎所以我就問你嘛就96條的部分如果萬一有這個趨勢一直走下去的話畢竟立法院的生態就這樣子是不是應該制定一個地方預算法嗎 |
transcript.whisperx[31].start |
695.344 |
transcript.whisperx[31].end |
717.158 |
transcript.whisperx[31].text |
多層次的規範嘛你們思考一下好不好你們思考一下評估一下兩個禮拜給本席一個答覆應該用透過地方預算法根據預算法96條的部分來訂定來做一個規範規範地方政府預算怎麼用怎麼編可不可以 |
transcript.whisperx[32].start |
718.538 |
transcript.whisperx[32].end |
745.236 |
transcript.whisperx[32].text |
兩個禮拜你這個如果沒有編的話我現在想齁這個禍國殃民的法案齁如果通過的話真的後患無窮啊主席長我建議你最好要編啊因為地方制度法老師說齁什麼時候修法也不清楚他們就只是想要搶錢而已可是地方預算法如果讓他們毫無理智的通過地方預算法照至少一個一個規範因為以前的預算規範是在行政部門的內部監督嘛 |
transcript.whisperx[33].start |
748.018 |
transcript.whisperx[33].end |
748.399 |
transcript.whisperx[33].text |
主席主席國文 |
IVOD_ID |
157585 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157585 |
日期 |
2024-11-28 |
會議資料.會議代碼 |
委員會-11-2-20-10 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
10 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.標題 |
第11屆第2會期財政委員會第10次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-11-28T10:05:19+08:00 |
結束時間 |
2024-11-28T10:18:09+08:00 |
支援功能[0] |
ai-transcript |