IVOD_ID |
162026 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162026 |
日期 |
2025-05-28 |
會議資料.會議代碼 |
委員會-11-3-15-22 |
會議資料.會議代碼:str |
第11屆第3會期內政委員會第22次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
22 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
15 |
會議資料.委員會代碼:str[0] |
內政委員會 |
會議資料.標題 |
第11屆第3會期內政委員會第22次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-28T11:33:46+08:00 |
結束時間 |
2025-05-28T11:42:04+08:00 |
影片長度 |
00:08:18 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f24f142837b29081234d126c33bcaff1fd1a3426710e0a50eed4e76400af35f56875ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
翁曉玲 |
委員發言時間 |
11:33:46 - 11:42:04 |
會議時間 |
2025-05-28T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期內政委員會第22次全體委員會議(事由:處理114年度中央政府總預算案有關行政院預算解凍案。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
4.57034375 |
transcript.pyannote[0].end |
5.61659375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
5.88659375 |
transcript.pyannote[1].end |
6.81471875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
10.37534375 |
transcript.pyannote[2].end |
11.03346875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
11.03346875 |
transcript.pyannote[3].end |
44.36159375 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
11.05034375 |
transcript.pyannote[4].end |
11.06721875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
45.20534375 |
transcript.pyannote[5].end |
50.21721875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
50.87534375 |
transcript.pyannote[6].end |
53.49096875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
53.69346875 |
transcript.pyannote[7].end |
54.43596875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
57.15284375 |
transcript.pyannote[8].end |
60.42659375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
61.37159375 |
transcript.pyannote[9].end |
62.60346875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
62.83971875 |
transcript.pyannote[10].end |
64.64534375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
65.52284375 |
transcript.pyannote[11].end |
67.12596875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
65.92784375 |
transcript.pyannote[12].end |
66.16409375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
67.26096875 |
transcript.pyannote[13].end |
70.63596875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
69.06659375 |
transcript.pyannote[14].end |
70.21409375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
71.17596875 |
transcript.pyannote[15].end |
82.95471875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
83.00534375 |
transcript.pyannote[16].end |
112.04721875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
92.48909375 |
transcript.pyannote[17].end |
93.33284375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
107.92971875 |
transcript.pyannote[18].end |
119.08409375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
114.20721875 |
transcript.pyannote[19].end |
114.49409375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
114.79784375 |
transcript.pyannote[20].end |
115.01721875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
116.16471875 |
transcript.pyannote[21].end |
118.05471875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
118.64534375 |
transcript.pyannote[22].end |
119.23596875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
119.60721875 |
transcript.pyannote[23].end |
155.90534375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
157.32284375 |
transcript.pyannote[24].end |
160.15784375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
161.06909375 |
transcript.pyannote[25].end |
170.48534375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
161.25471875 |
transcript.pyannote[26].end |
162.13221875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
168.17346875 |
transcript.pyannote[27].end |
174.36659375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
176.42534375 |
transcript.pyannote[28].end |
181.85909375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
182.41596875 |
transcript.pyannote[29].end |
184.44096875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
182.41596875 |
transcript.pyannote[30].end |
189.21659375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
189.94221875 |
transcript.pyannote[31].end |
194.11034375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
194.95409375 |
transcript.pyannote[32].end |
200.03346875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
200.21909375 |
transcript.pyannote[33].end |
200.37096875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
200.82659375 |
transcript.pyannote[34].end |
209.11221875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
209.55096875 |
transcript.pyannote[35].end |
218.27534375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
218.56221875 |
transcript.pyannote[36].end |
218.64659375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
218.64659375 |
transcript.pyannote[37].end |
222.49409375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
219.01784375 |
transcript.pyannote[38].end |
241.36034375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
237.83346875 |
transcript.pyannote[39].end |
238.03596875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
238.03596875 |
transcript.pyannote[40].end |
238.20471875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
238.20471875 |
transcript.pyannote[41].end |
238.22159375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
241.39409375 |
transcript.pyannote[42].end |
241.46159375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
241.46159375 |
transcript.pyannote[43].end |
241.57971875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
241.57971875 |
transcript.pyannote[44].end |
246.13596875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
244.60034375 |
transcript.pyannote[45].end |
247.03034375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
248.51534375 |
transcript.pyannote[46].end |
249.35909375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
248.78534375 |
transcript.pyannote[47].end |
264.49596875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
265.23846875 |
transcript.pyannote[48].end |
267.63471875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
268.10721875 |
transcript.pyannote[49].end |
270.99284375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
271.85346875 |
transcript.pyannote[50].end |
273.11909375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
274.60409375 |
transcript.pyannote[51].end |
274.99221875 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
276.05534375 |
transcript.pyannote[52].end |
282.63659375 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
282.85596875 |
transcript.pyannote[53].end |
283.88534375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
283.48034375 |
transcript.pyannote[54].end |
285.64034375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
285.50534375 |
transcript.pyannote[55].end |
285.67409375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
285.67409375 |
transcript.pyannote[56].end |
291.00659375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
285.70784375 |
transcript.pyannote[57].end |
285.79221875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
291.17534375 |
transcript.pyannote[58].end |
293.13284375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
293.58846875 |
transcript.pyannote[59].end |
295.88346875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
296.74409375 |
transcript.pyannote[60].end |
317.09534375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
317.21346875 |
transcript.pyannote[61].end |
318.15846875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
319.39034375 |
transcript.pyannote[62].end |
320.26784375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
320.50409375 |
transcript.pyannote[63].end |
321.73596875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
321.98909375 |
transcript.pyannote[64].end |
322.81596875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
323.30534375 |
transcript.pyannote[65].end |
330.52784375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
330.69659375 |
transcript.pyannote[66].end |
332.21534375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
332.41784375 |
transcript.pyannote[67].end |
334.84784375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
336.11346875 |
transcript.pyannote[68].end |
336.68721875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
336.83909375 |
transcript.pyannote[69].end |
338.64471875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
339.45471875 |
transcript.pyannote[70].end |
340.19721875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
341.17596875 |
transcript.pyannote[71].end |
348.26346875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
348.31409375 |
transcript.pyannote[72].end |
351.57096875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
353.24159375 |
transcript.pyannote[73].end |
354.30471875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
353.44409375 |
transcript.pyannote[74].end |
356.17784375 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
356.66721875 |
transcript.pyannote[75].end |
360.16034375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
357.03846875 |
transcript.pyannote[76].end |
357.15659375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
361.24034375 |
transcript.pyannote[77].end |
363.70409375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
362.60721875 |
transcript.pyannote[78].end |
362.86034375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
364.41284375 |
transcript.pyannote[79].end |
366.60659375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
366.99471875 |
transcript.pyannote[80].end |
368.64846875 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
369.55971875 |
transcript.pyannote[81].end |
370.15034375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
370.15034375 |
transcript.pyannote[82].end |
370.18409375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
370.52159375 |
transcript.pyannote[83].end |
374.13284375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
375.28034375 |
transcript.pyannote[84].end |
378.85784375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
375.56721875 |
transcript.pyannote[85].end |
376.02284375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
377.71034375 |
transcript.pyannote[86].end |
380.79846875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
380.96721875 |
transcript.pyannote[87].end |
383.83596875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
384.02159375 |
transcript.pyannote[88].end |
387.31221875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
389.28659375 |
transcript.pyannote[89].end |
398.01096875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
399.07409375 |
transcript.pyannote[90].end |
403.83284375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
404.30534375 |
transcript.pyannote[91].end |
405.85784375 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
406.87034375 |
transcript.pyannote[92].end |
408.72659375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
407.44409375 |
transcript.pyannote[93].end |
408.57471875 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
409.11471875 |
transcript.pyannote[94].end |
421.01159375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
418.24409375 |
transcript.pyannote[95].end |
432.08159375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
432.48659375 |
transcript.pyannote[96].end |
448.38284375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
449.19284375 |
transcript.pyannote[97].end |
454.18784375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
454.50846875 |
transcript.pyannote[98].end |
469.39221875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
469.83096875 |
transcript.pyannote[99].end |
470.89409375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
471.75471875 |
transcript.pyannote[100].end |
491.49846875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
491.97096875 |
transcript.pyannote[101].end |
495.98721875 |
transcript.whisperx[0].start |
4.726 |
transcript.whisperx[0].end |
5.049 |
transcript.whisperx[0].text |
有請秘書長好 請秘書長 |
transcript.whisperx[1].start |
10.527 |
transcript.whisperx[1].end |
40.059 |
transcript.whisperx[1].text |
歐委好是秘書長好我想今天剛剛很多委員都已經問了您有關於就是這個行政院在去年在送114年度中央政府總預算案的時候那時候有附帶一個114年度的中央政府總預算案編列依法律15支出明細表一份也就是這一份那這一份呢因為先前已經有些委員有問了那我只想要問您請教您就是說 |
transcript.whisperx[2].start |
40.619 |
transcript.whisperx[2].end |
64.454 |
transcript.whisperx[2].text |
这份明细表它的法律意义是什么依照这份明细表里面所列的这些预算这些项目对不起我刚拿错了就是依照这个明细表里面所列的这些预算项目它的意义是什么是可以任意删减的吗 |
transcript.whisperx[3].start |
65.526 |
transcript.whisperx[3].end |
92.257 |
transcript.whisperx[3].text |
可以任意不執行嗎我是不是請主席總書的同仁說明一下然後編列的時候跟委員報告一下委員公文上面的依法利益物支出其實是我們在審查預算的過程當中的分類那為什麼要這樣分類的原因就是因為說如果被歸為依法利益物支出的話代表說我們在審查預算的過程當中必須要去注意說這些支出在法律上是有規定需要去支出的 |
transcript.whisperx[4].start |
92.737 |
transcript.whisperx[4].end |
116.836 |
transcript.whisperx[4].text |
可是不是所有的法律都有規定明確的這個標準跟數額那以這個一般性補助款來講的話在地制法跟財務法只有規定說中央要著於補助沒有規定說數額是多少所以說這個預算裡面是估計的數字是有強勁的空間我想這是你們自己列出來的支出明細表裡面每一項都有先聽我說 |
transcript.whisperx[5].start |
119.658 |
transcript.whisperx[5].end |
148.199 |
transcript.whisperx[5].text |
这个部分是你每一项都有清楚的列出那个数额数字那么不仅仅是针对一般的补助款然后甚至包含像是这个增补什么基金拨补基金然后对于社会福利津贴补助等等都在这份明细表里面那么现在本席质疑的就是我们已经立法院经过三读通过各项 |
transcript.whisperx[6].start |
149.58 |
transcript.whisperx[6].end |
172.457 |
transcript.whisperx[6].text |
這個依照法律義務支出的這個經費那麼通過了這些經費它的意義是什麼這個經過我們立法院三讀通過的法定預算它的意義是什麼報告委員現在就是說這個自行3.636也是在這個法定預算之前的這個法定預算我先要問你經過立法院三讀通過的法定預算的意義是什麼請問秘書長意義是什麼 |
transcript.whisperx[7].start |
177.083 |
transcript.whisperx[7].end |
199.741 |
transcript.whisperx[7].text |
因為在三讀通過以後要我們自行刪減636現在的問題很清楚經過立法院三讀通過的法定預算法定預算我不是指那6361所有的法定預算的項目他是不是概念上在法律的解釋上他叫措施性法律 |
transcript.whisperx[8].start |
200.902 |
transcript.whisperx[8].end |
217.996 |
transcript.whisperx[8].text |
竟然是措施性法律通过他就具有什么法律的拘束力他就必须要去执行换句话说行政院没有权利不执行也没有这个权利不按照通过的预算表去核发这些经费 |
transcript.whisperx[9].start |
219.677 |
transcript.whisperx[9].end |
246.075 |
transcript.whisperx[9].text |
今天因為對於6361的解釋我們剛已經講很清楚在我們中央我們這次通過只是拘束了中央政府以及他的所屬機關不涵蓋到地方政府剛剛黃國昌委員這個部分已經講很清楚了我也不勞煩這個秘書長您再重複一次因為你們的法律借鑒是錯誤的我們刪的是中央政府的預算那接下來我想要提出 |
transcript.whisperx[10].start |
249.038 |
transcript.whisperx[10].end |
271.996 |
transcript.whisperx[10].text |
中央政府及所屬機關中央政府就說好我接下來要問的是另外一個問題在這次行政院有提出針對中央政府總預算申請釋憲那麼請問你們在申請釋憲之前你們有徵詢過司法院考試院的意見嗎他們有同意你們要提出申請釋憲嗎 |
transcript.whisperx[11].start |
276.344 |
transcript.whisperx[11].end |
295.172 |
transcript.whisperx[11].text |
據我了解應該是會有溝通但是實際狀況不是我去溝通我就沒有辦法了解是不是有這樣的情況我在這裡跟秘書長報告我昨天有問了禮拜一的這個質詢質詢司法院司法院的王副秘書長說他們沒有接受到任何的徵詢 |
transcript.whisperx[12].start |
296.789 |
transcript.whisperx[12].end |
312.784 |
transcript.whisperx[12].text |
沒有接受到行政院的意見徵詢所以行政司法院跟考試院我認為他們可能也不見得有接受到行政院有徵詢他們意見要不要針對他們的預算一起去申請釋憲既然你們現在已經申請釋憲了我接下來想要問的問題就是說如果說 |
transcript.whisperx[13].start |
319.751 |
transcript.whisperx[13].end |
333.843 |
transcript.whisperx[13].text |
因為柯建民總召說假設這個大法官宣判114年的總預算是違憲的那麼總預算將案源編列使用請問主計處還有運輸長是如柯總召這麼說嗎假設 |
transcript.whisperx[14].start |
341.643 |
transcript.whisperx[14].end |
351.387 |
transcript.whisperx[14].text |
這個我們的這次的總預算可能被大法官宣告一部或是全部的違憲那接下來是要怎麼樣的處理我們已經執行執行完畢的預算我們就要依照這個大法官的解釋來辦理所謂大法官解釋就是有可能退回重審啊假設他退回給立法院重審請問主席我們這時候要怎麼辦 |
transcript.whisperx[15].start |
370.609 |
transcript.whisperx[15].end |
373.932 |
transcript.whisperx[15].text |
我們是要重新審過嘛我們每一項預算重新審過對不對這個還是要看大法官到時候好我要講就是說你們必須要去講清楚這個預算退回立法院重審那代表說我們有可能就現行的預算刪減的更多或是凍結的更多你們現在已經正在已經執行完畢的這些預算之後要怎麼追回 |
transcript.whisperx[16].start |
399.127 |
transcript.whisperx[16].end |
417.453 |
transcript.whisperx[16].text |
我不知道行政院有沒有想清楚他後續的一些法律的問題還是法官會可以回答嗎大法官會做怎麼樣的裁處我們也實在不知道所以這都是假設性的我也沒有辦法在這裡等到大法官有正確的 |
transcript.whisperx[17].start |
418.473 |
transcript.whisperx[17].end |
448.173 |
transcript.whisperx[17].text |
到现在到好坏的做法非常有可能那就站在你们民进党政府这一边所以我要讲就是说因为过去从来没有针对过这个总预算案来申请事先甚至我认为大法官都不应该受理都不应该受理总预算案的这事先案但他们现在还没有处理可是我觉得这个问题很严重主计总处还有甚至审计部都应该要先讲清楚如果说是这个预算退回立法院重审我们要怎么样审法 |
transcript.whisperx[18].start |
449.353 |
transcript.whisperx[18].end |
468.581 |
transcript.whisperx[18].text |
還有就是省當然退回我們立法院重申我們一定會全部重新省不會這個按照你們行政院的意然後這都不省或是按照全部你們立法院行政院所提出來的預算原編列項目然後就完全的放水同意這是不可能的中間如果說有任何的預算經費有變化行政院的 |
transcript.whisperx[19].start |
471.792 |
transcript.whisperx[19].end |
495.509 |
transcript.whisperx[19].text |
你們有想出來要怎麼解決嗎主計處還有審計部要怎麼解決嗎我希望這個秘書長這裡可以給我一份報告好嗎你們既然提出了事先案就應該要對後續的這個可能會產生的問題要有所因應這個提出因應策略可以一個禮拜之內給我這份報告好不好下禮拜吧下禮拜三之前那就麻煩你們 |