IVOD_ID |
159017 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159017 |
日期 |
2025-03-11 |
會議資料.會議代碼 |
全院委員會-11-3-2 |
會議資料.會議代碼:str |
第11屆第3會期第2次全院委員會會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
2 |
會議資料.種類 |
全院委員會 |
會議資料.標題 |
第11屆第3會期第2次全院委員會會議 |
影片種類 |
Clip |
開始時間 |
2025-03-11T14:30:42+08:00 |
結束時間 |
2025-03-11T14:46:38+08:00 |
影片長度 |
00:15:56 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a37056a99b6ff7281fa7f2a591401ab931125bfab2e25e2581efae1376afe49b1c7a1f58fb7c6e965ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
郭國文 |
委員發言時間 |
14:30:42 - 14:46:38 |
會議時間 |
2025-03-11T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第2次全院委員會會議(事由:一、「中華民國114年度中央政府總預算案」覆議案(3月11日)。二、「財政收支劃分法」第八條、第十六條之一及第三十條條文覆議案(3月12日)。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
8.62034375 |
transcript.pyannote[0].end |
20.02784375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
20.38221875 |
transcript.pyannote[1].end |
26.89596875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
27.31784375 |
transcript.pyannote[2].end |
31.82346875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
32.19471875 |
transcript.pyannote[3].end |
41.56034375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
42.37034375 |
transcript.pyannote[4].end |
72.25596875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
72.79596875 |
transcript.pyannote[5].end |
73.52159375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
73.85909375 |
transcript.pyannote[6].end |
75.27659375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
76.08659375 |
transcript.pyannote[7].end |
80.23784375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
80.82846875 |
transcript.pyannote[8].end |
85.38471875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
86.00909375 |
transcript.pyannote[9].end |
88.25346875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
88.59096875 |
transcript.pyannote[10].end |
89.21534375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
89.90721875 |
transcript.pyannote[11].end |
91.83096875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
92.50596875 |
transcript.pyannote[12].end |
101.97284375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
102.69846875 |
transcript.pyannote[13].end |
106.71471875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
107.86221875 |
transcript.pyannote[14].end |
109.49909375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
109.93784375 |
transcript.pyannote[15].end |
110.81534375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
111.92909375 |
transcript.pyannote[16].end |
113.41409375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
113.95409375 |
transcript.pyannote[17].end |
118.03784375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
118.76346875 |
transcript.pyannote[18].end |
118.96596875 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
118.96596875 |
transcript.pyannote[19].end |
120.09659375 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
120.38346875 |
transcript.pyannote[20].end |
124.65284375 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
124.97346875 |
transcript.pyannote[21].end |
140.09346875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
126.67784375 |
transcript.pyannote[22].end |
127.03221875 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
140.36346875 |
transcript.pyannote[23].end |
145.71284375 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
146.06721875 |
transcript.pyannote[24].end |
149.79659375 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
150.03284375 |
transcript.pyannote[25].end |
152.09159375 |
transcript.pyannote[26].speaker |
SPEAKER_03 |
transcript.pyannote[26].start |
152.41221875 |
transcript.pyannote[26].end |
163.02659375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
163.02659375 |
transcript.pyannote[27].end |
167.90346875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
167.90346875 |
transcript.pyannote[28].end |
168.07221875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
168.07221875 |
transcript.pyannote[29].end |
183.95159375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
184.40721875 |
transcript.pyannote[30].end |
189.84096875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
190.07721875 |
transcript.pyannote[31].end |
202.64909375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
199.30784375 |
transcript.pyannote[32].end |
199.37534375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
203.29034375 |
transcript.pyannote[33].end |
204.35346875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
204.89346875 |
transcript.pyannote[34].end |
206.19284375 |
transcript.pyannote[35].speaker |
SPEAKER_03 |
transcript.pyannote[35].start |
206.19284375 |
transcript.pyannote[35].end |
206.22659375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
206.86784375 |
transcript.pyannote[36].end |
206.96909375 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
206.96909375 |
transcript.pyannote[37].end |
218.05596875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
215.45721875 |
transcript.pyannote[38].end |
216.35159375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
216.80721875 |
transcript.pyannote[39].end |
230.89784375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
231.94409375 |
transcript.pyannote[40].end |
232.97346875 |
transcript.pyannote[41].speaker |
SPEAKER_03 |
transcript.pyannote[41].start |
232.97346875 |
transcript.pyannote[41].end |
233.90159375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
233.90159375 |
transcript.pyannote[42].end |
233.91846875 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
234.20534375 |
transcript.pyannote[43].end |
235.82534375 |
transcript.pyannote[44].speaker |
SPEAKER_03 |
transcript.pyannote[44].start |
236.11221875 |
transcript.pyannote[44].end |
236.93909375 |
transcript.pyannote[45].speaker |
SPEAKER_03 |
transcript.pyannote[45].start |
237.54659375 |
transcript.pyannote[45].end |
244.00971875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
242.27159375 |
transcript.pyannote[46].end |
248.34659375 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
244.36409375 |
transcript.pyannote[47].end |
245.76471875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
248.41409375 |
transcript.pyannote[48].end |
253.20659375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
254.23596875 |
transcript.pyannote[49].end |
254.91096875 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
254.91096875 |
transcript.pyannote[50].end |
257.79659375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
254.92784375 |
transcript.pyannote[51].end |
255.18096875 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
257.96534375 |
transcript.pyannote[52].end |
269.03534375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
269.03534375 |
transcript.pyannote[53].end |
270.52034375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
271.04346875 |
transcript.pyannote[54].end |
279.32909375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
280.05471875 |
transcript.pyannote[55].end |
284.15534375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
284.50971875 |
transcript.pyannote[56].end |
285.06659375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
285.58971875 |
transcript.pyannote[57].end |
287.26034375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
288.17159375 |
transcript.pyannote[58].end |
293.89221875 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
289.72409375 |
transcript.pyannote[59].end |
290.50034375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
294.21284375 |
transcript.pyannote[60].end |
296.55846875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
297.62159375 |
transcript.pyannote[61].end |
298.11096875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
298.36409375 |
transcript.pyannote[62].end |
299.39346875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
299.76471875 |
transcript.pyannote[63].end |
303.39284375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
303.91596875 |
transcript.pyannote[64].end |
304.33784375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
305.28284375 |
transcript.pyannote[65].end |
307.07159375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
307.79721875 |
transcript.pyannote[66].end |
308.25284375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
308.60721875 |
transcript.pyannote[67].end |
310.07534375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
310.51409375 |
transcript.pyannote[68].end |
311.94846875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
312.64034375 |
transcript.pyannote[69].end |
314.76659375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
316.20096875 |
transcript.pyannote[70].end |
320.08221875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
320.50409375 |
transcript.pyannote[71].end |
321.28034375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
321.48284375 |
transcript.pyannote[72].end |
322.81596875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
323.84534375 |
transcript.pyannote[73].end |
326.61284375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
327.08534375 |
transcript.pyannote[74].end |
327.52409375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
329.02596875 |
transcript.pyannote[75].end |
333.64971875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
334.30784375 |
transcript.pyannote[76].end |
336.94034375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
338.22284375 |
transcript.pyannote[77].end |
341.63159375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
342.42471875 |
transcript.pyannote[78].end |
349.00596875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
349.52909375 |
transcript.pyannote[79].end |
352.58346875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
353.05596875 |
transcript.pyannote[80].end |
355.84034375 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
355.84034375 |
transcript.pyannote[81].end |
355.85721875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
356.36346875 |
transcript.pyannote[82].end |
374.08221875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
374.70659375 |
transcript.pyannote[83].end |
374.97659375 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
374.97659375 |
transcript.pyannote[84].end |
376.42784375 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
376.88346875 |
transcript.pyannote[85].end |
377.67659375 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
377.94659375 |
transcript.pyannote[86].end |
384.37596875 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
384.51096875 |
transcript.pyannote[87].end |
385.74284375 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
385.96221875 |
transcript.pyannote[88].end |
387.64971875 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
388.08846875 |
transcript.pyannote[89].end |
389.97846875 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
390.33284375 |
transcript.pyannote[90].end |
393.01596875 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
393.31971875 |
transcript.pyannote[91].end |
393.35346875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
393.35346875 |
transcript.pyannote[92].end |
401.13284375 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
393.37034375 |
transcript.pyannote[93].end |
394.50096875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
401.70659375 |
transcript.pyannote[94].end |
404.55846875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
404.76096875 |
transcript.pyannote[95].end |
408.03471875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
408.54096875 |
transcript.pyannote[96].end |
412.70909375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
413.82284375 |
transcript.pyannote[97].end |
416.64096875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
417.31596875 |
transcript.pyannote[98].end |
427.01909375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
427.22159375 |
transcript.pyannote[99].end |
428.99346875 |
transcript.pyannote[100].speaker |
SPEAKER_03 |
transcript.pyannote[100].start |
428.99346875 |
transcript.pyannote[100].end |
429.01034375 |
transcript.pyannote[101].speaker |
SPEAKER_03 |
transcript.pyannote[101].start |
429.61784375 |
transcript.pyannote[101].end |
429.93846875 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
430.09034375 |
transcript.pyannote[102].end |
432.21659375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
432.21659375 |
transcript.pyannote[103].end |
432.23346875 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
432.38534375 |
transcript.pyannote[104].end |
436.11471875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
435.08534375 |
transcript.pyannote[105].end |
435.65909375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
435.81096875 |
transcript.pyannote[106].end |
438.76409375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
439.33784375 |
transcript.pyannote[107].end |
441.21096875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
441.98721875 |
transcript.pyannote[108].end |
443.57346875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
444.18096875 |
transcript.pyannote[109].end |
444.97409375 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
444.97409375 |
transcript.pyannote[110].end |
445.02471875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
445.02471875 |
transcript.pyannote[111].end |
445.69971875 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
445.69971875 |
transcript.pyannote[112].end |
450.12096875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
445.98659375 |
transcript.pyannote[113].end |
446.13846875 |
transcript.pyannote[114].speaker |
SPEAKER_03 |
transcript.pyannote[114].start |
450.34034375 |
transcript.pyannote[114].end |
452.98971875 |
transcript.pyannote[115].speaker |
SPEAKER_03 |
transcript.pyannote[115].start |
453.02346875 |
transcript.pyannote[115].end |
462.47346875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
461.61284375 |
transcript.pyannote[116].end |
461.84909375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
462.47346875 |
transcript.pyannote[117].end |
475.11284375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
475.60221875 |
transcript.pyannote[118].end |
483.46596875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
483.70221875 |
transcript.pyannote[119].end |
486.95909375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
488.56221875 |
transcript.pyannote[120].end |
497.38784375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
497.91096875 |
transcript.pyannote[121].end |
500.98221875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
501.33659375 |
transcript.pyannote[122].end |
501.92721875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
503.29409375 |
transcript.pyannote[123].end |
505.85909375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
506.11221875 |
transcript.pyannote[124].end |
512.86221875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
513.55409375 |
transcript.pyannote[125].end |
519.62909375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
519.96659375 |
transcript.pyannote[126].end |
521.19846875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
521.35034375 |
transcript.pyannote[127].end |
523.35846875 |
transcript.pyannote[128].speaker |
SPEAKER_03 |
transcript.pyannote[128].start |
523.40909375 |
transcript.pyannote[128].end |
524.69159375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
525.16409375 |
transcript.pyannote[129].end |
531.74534375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
532.01534375 |
transcript.pyannote[130].end |
535.81221875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
536.43659375 |
transcript.pyannote[131].end |
538.78221875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
539.28846875 |
transcript.pyannote[132].end |
543.03471875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
544.16534375 |
transcript.pyannote[133].end |
546.96659375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
546.96659375 |
transcript.pyannote[134].end |
547.55721875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
548.56971875 |
transcript.pyannote[135].end |
554.32409375 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
554.39159375 |
transcript.pyannote[136].end |
554.40846875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
554.40846875 |
transcript.pyannote[137].end |
554.66159375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
554.66159375 |
transcript.pyannote[138].end |
572.07659375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
554.69534375 |
transcript.pyannote[139].end |
555.04971875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
562.32284375 |
transcript.pyannote[140].end |
562.59284375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
566.62596875 |
transcript.pyannote[141].end |
566.89596875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
571.75596875 |
transcript.pyannote[142].end |
577.84784375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
578.10096875 |
transcript.pyannote[143].end |
578.15159375 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
578.15159375 |
transcript.pyannote[144].end |
578.26971875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
578.26971875 |
transcript.pyannote[145].end |
579.68721875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
579.09659375 |
transcript.pyannote[146].end |
581.69534375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
581.69534375 |
transcript.pyannote[147].end |
590.50409375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
590.89221875 |
transcript.pyannote[148].end |
593.62596875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
590.97659375 |
transcript.pyannote[149].end |
591.19596875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
594.79034375 |
transcript.pyannote[150].end |
600.34221875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
595.07721875 |
transcript.pyannote[151].end |
596.14034375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
600.59534375 |
transcript.pyannote[152].end |
601.11846875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
601.38846875 |
transcript.pyannote[153].end |
602.24909375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
602.46846875 |
transcript.pyannote[154].end |
604.45971875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
605.43846875 |
transcript.pyannote[155].end |
608.62784375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
609.55596875 |
transcript.pyannote[156].end |
610.43346875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
611.83409375 |
transcript.pyannote[157].end |
611.96909375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
611.96909375 |
transcript.pyannote[158].end |
615.61409375 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
616.55909375 |
transcript.pyannote[159].end |
617.16659375 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
617.50409375 |
transcript.pyannote[160].end |
619.37721875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
619.78221875 |
transcript.pyannote[161].end |
620.50784375 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
620.77784375 |
transcript.pyannote[162].end |
625.77284375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
620.89596875 |
transcript.pyannote[163].end |
621.28409375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
621.28409375 |
transcript.pyannote[164].end |
621.30096875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
623.93346875 |
transcript.pyannote[165].end |
634.07534375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
634.36221875 |
transcript.pyannote[166].end |
637.72034375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
637.93971875 |
transcript.pyannote[167].end |
640.36971875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
641.31471875 |
transcript.pyannote[168].end |
644.20034375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
644.53784375 |
transcript.pyannote[169].end |
647.38971875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
648.57096875 |
transcript.pyannote[170].end |
652.14846875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
652.21596875 |
transcript.pyannote[171].end |
661.15971875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
659.75909375 |
transcript.pyannote[172].end |
666.37409375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
666.72846875 |
transcript.pyannote[173].end |
672.65159375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
672.95534375 |
transcript.pyannote[174].end |
674.71034375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
675.33471875 |
transcript.pyannote[175].end |
680.09346875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
680.39721875 |
transcript.pyannote[176].end |
682.16909375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
682.89471875 |
transcript.pyannote[177].end |
686.01659375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
686.33721875 |
transcript.pyannote[178].end |
688.68284375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
689.64471875 |
transcript.pyannote[179].end |
698.26784375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
699.28034375 |
transcript.pyannote[180].end |
707.31284375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
701.08596875 |
transcript.pyannote[181].end |
701.87909375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
704.74784375 |
transcript.pyannote[182].end |
705.16971875 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
707.44784375 |
transcript.pyannote[183].end |
718.02846875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
707.54909375 |
transcript.pyannote[184].end |
707.85284375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
710.48534375 |
transcript.pyannote[185].end |
710.68784375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
712.07159375 |
transcript.pyannote[186].end |
713.37096875 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
718.02846875 |
transcript.pyannote[187].end |
727.51221875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
728.81159375 |
transcript.pyannote[188].end |
730.56659375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
730.56659375 |
transcript.pyannote[189].end |
730.58346875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
730.68471875 |
transcript.pyannote[190].end |
734.66721875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
735.07221875 |
transcript.pyannote[191].end |
735.34221875 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
736.27034375 |
transcript.pyannote[192].end |
736.70909375 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
737.24909375 |
transcript.pyannote[193].end |
745.28159375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
742.32846875 |
transcript.pyannote[194].end |
742.76721875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
743.94846875 |
transcript.pyannote[195].end |
747.37409375 |
transcript.pyannote[196].speaker |
SPEAKER_03 |
transcript.pyannote[196].start |
747.37409375 |
transcript.pyannote[196].end |
760.63784375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
747.42471875 |
transcript.pyannote[197].end |
747.66096875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
751.27221875 |
transcript.pyannote[198].end |
752.79096875 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
757.88721875 |
transcript.pyannote[199].end |
760.58721875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
760.63784375 |
transcript.pyannote[200].end |
767.25284375 |
transcript.pyannote[201].speaker |
SPEAKER_03 |
transcript.pyannote[201].start |
761.76846875 |
transcript.pyannote[201].end |
762.79784375 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
768.48471875 |
transcript.pyannote[202].end |
781.91721875 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
782.71034375 |
transcript.pyannote[203].end |
786.28784375 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
786.74346875 |
transcript.pyannote[204].end |
787.85721875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
788.32971875 |
transcript.pyannote[205].end |
788.81909375 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
789.59534375 |
transcript.pyannote[206].end |
792.00846875 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
792.95346875 |
transcript.pyannote[207].end |
794.72534375 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
795.14721875 |
transcript.pyannote[208].end |
795.43409375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
795.61971875 |
transcript.pyannote[209].end |
798.43784375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
798.70784375 |
transcript.pyannote[210].end |
800.59784375 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
801.34034375 |
transcript.pyannote[211].end |
802.70721875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
803.06159375 |
transcript.pyannote[212].end |
804.25971875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
803.09534375 |
transcript.pyannote[213].end |
804.05721875 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
804.76596875 |
transcript.pyannote[214].end |
808.00596875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
808.17471875 |
transcript.pyannote[215].end |
809.55846875 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
809.86221875 |
transcript.pyannote[216].end |
812.64659375 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
813.35534375 |
transcript.pyannote[217].end |
818.56971875 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
819.22784375 |
transcript.pyannote[218].end |
822.55221875 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
822.88971875 |
transcript.pyannote[219].end |
825.97784375 |
transcript.pyannote[220].speaker |
SPEAKER_03 |
transcript.pyannote[220].start |
825.97784375 |
transcript.pyannote[220].end |
825.99471875 |
transcript.pyannote[221].speaker |
SPEAKER_03 |
transcript.pyannote[221].start |
827.02409375 |
transcript.pyannote[221].end |
827.85096875 |
transcript.pyannote[222].speaker |
SPEAKER_03 |
transcript.pyannote[222].start |
828.20534375 |
transcript.pyannote[222].end |
851.76284375 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
838.41471875 |
transcript.pyannote[223].end |
839.52846875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
851.45909375 |
transcript.pyannote[224].end |
852.74159375 |
transcript.pyannote[225].speaker |
SPEAKER_03 |
transcript.pyannote[225].start |
853.12971875 |
transcript.pyannote[225].end |
853.16346875 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
853.16346875 |
transcript.pyannote[226].end |
853.18034375 |
transcript.pyannote[227].speaker |
SPEAKER_03 |
transcript.pyannote[227].start |
853.18034375 |
transcript.pyannote[227].end |
854.81721875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
853.63596875 |
transcript.pyannote[228].end |
855.00284375 |
transcript.pyannote[229].speaker |
SPEAKER_03 |
transcript.pyannote[229].start |
855.00284375 |
transcript.pyannote[229].end |
855.10409375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
855.57659375 |
transcript.pyannote[230].end |
855.59346875 |
transcript.pyannote[231].speaker |
SPEAKER_03 |
transcript.pyannote[231].start |
855.59346875 |
transcript.pyannote[231].end |
856.74096875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
855.61034375 |
transcript.pyannote[232].end |
865.68471875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
866.39346875 |
transcript.pyannote[233].end |
868.33409375 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
868.92471875 |
transcript.pyannote[234].end |
871.74284375 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
872.68784375 |
transcript.pyannote[235].end |
875.16846875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
875.72534375 |
transcript.pyannote[236].end |
883.82534375 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
884.48346875 |
transcript.pyannote[237].end |
885.05721875 |
transcript.pyannote[238].speaker |
SPEAKER_03 |
transcript.pyannote[238].start |
885.05721875 |
transcript.pyannote[238].end |
887.13284375 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
887.41971875 |
transcript.pyannote[239].end |
887.47034375 |
transcript.pyannote[240].speaker |
SPEAKER_03 |
transcript.pyannote[240].start |
887.47034375 |
transcript.pyannote[240].end |
888.58409375 |
transcript.pyannote[241].speaker |
SPEAKER_03 |
transcript.pyannote[241].start |
889.05659375 |
transcript.pyannote[241].end |
894.10221875 |
transcript.pyannote[242].speaker |
SPEAKER_03 |
transcript.pyannote[242].start |
894.47346875 |
transcript.pyannote[242].end |
897.49409375 |
transcript.pyannote[243].speaker |
SPEAKER_03 |
transcript.pyannote[243].start |
897.56159375 |
transcript.pyannote[243].end |
899.87346875 |
transcript.pyannote[244].speaker |
SPEAKER_03 |
transcript.pyannote[244].start |
900.02534375 |
transcript.pyannote[244].end |
904.39596875 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
902.03346875 |
transcript.pyannote[245].end |
907.53471875 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
907.88909375 |
transcript.pyannote[246].end |
914.52096875 |
transcript.pyannote[247].speaker |
SPEAKER_03 |
transcript.pyannote[247].start |
946.07721875 |
transcript.pyannote[247].end |
951.44346875 |
transcript.pyannote[248].speaker |
SPEAKER_03 |
transcript.pyannote[248].start |
952.37159375 |
transcript.pyannote[248].end |
956.42159375 |
transcript.whisperx[0].start |
8.646 |
transcript.whisperx[0].end |
30.914 |
transcript.whisperx[0].text |
郭委員好 主委長好主委長我早上聆聽您的報告我覺得這一次的這一個復議案的內容當中顯示出來今年度的總預算可以有三個特色第一個是史上被刪最多為什麼我說史上被刪最多呢就這個圖表來看的話以前可以超過2%的只有陳水扁時代的時候有超過2% |
transcript.whisperx[1].start |
32.281 |
transcript.whisperx[1].end |
60.32 |
transcript.whisperx[1].text |
那甚至到陳水扁執政末年的時候2007年的時候是史上刪除最少因為那時候國民黨以為他們已經要執政了所以他們刪除最少接著呢最多的部分呢就是你現在的今年度的預算被刪了這個6%總共有三倍之多但是實質上可動之的預算當中是高達15%所以啊 院長你做一個行政院執行長啊這第一年的總預算非常重要且關鍵啊 |
transcript.whisperx[2].start |
61.641 |
transcript.whisperx[2].end |
88.956 |
transcript.whisperx[2].text |
這賴清德總統就任以來他自己要編預算他想要完成自己的政見就要透過預算裡頭來執行落實這樣預算第一個被刪得這麼嚴重這是第一個問題第二個呢定義最亂的部分是什麼以前的所謂的總三減數是總預算的總三減數但是是三減項目的總三減數還是總預算的三減數搞不清楚以致這一次完全沒有核定數啊這是第二個 |
transcript.whisperx[3].start |
89.966 |
transcript.whisperx[3].end |
117.94 |
transcript.whisperx[3].text |
第三個解凍最困難以前在委員會解凍就可以了書面的報告一份或者排一個專案報告來進行解凍可是這一次要上升到院會裡頭又要專案報告又要在院會可是專案報告是一案一報還是全部一起報一次也沒有清除所以也沒有潛力可循啊就這三個項目來看的話院長你是不是有補充的地方啊 |
transcript.whisperx[4].start |
119.18 |
transcript.whisperx[4].end |
139.653 |
transcript.whisperx[4].text |
陳委員所說預算的表現就是總統的治國理念最具體的因為有預算就可以去推動很多的政策像這次除了已經向大院說明過的之外我們在治水預算也增加我們對中小企業的多元振興輔導也增加我們對教育也增加對長照也增加等等增加這麼多 |
transcript.whisperx[5].start |
140.453 |
transcript.whisperx[5].end |
158.129 |
transcript.whisperx[5].text |
那如果預算被合理的審議合理的刪減行政院都應該接受但是如果他刪減是針對特定機關特定項目大幅度的刪減巨幅的這個凍結那造成動彈不得不是今天所說的金額的多小他把本預算沒有動 |
transcript.whisperx[6].start |
158.729 |
transcript.whisperx[6].end |
174.324 |
transcript.whisperx[6].text |
但要做這個政策的周遭的業務費都刪掉了那預算沒有人可以執行是 也就是因為刪除過多你沒有辦法執行二來定義太亂三來解凍又最難的情況底下你不得不提出這個復一案嘛 對不對 |
transcript.whisperx[7].start |
175.505 |
transcript.whisperx[7].end |
202.417 |
transcript.whisperx[7].text |
這種情況底下可是站在我們作為一個執政黨的情況韓院長也曾經提出說是不是用追加預算的方式可否進行第二個有沒有可能透過再協商的方式來進行快速的解凍的方式對不對第二個方法是這樣子啊那第三你早上還有提到是說還有其他的憲政方法至少有這三個方法嘛剛剛你在講嘛除了富裕之外是不是還有這三個方法好第一個我們來想 |
transcript.whisperx[8].start |
203.357 |
transcript.whisperx[8].end |
230.689 |
transcript.whisperx[8].text |
追加預算有沒有可能請問一下追加預算有沒有可能追加預算當然也是程序之一啦但追加預算他還是要經過一段時間還要符合追加預算預算法那四個條款所有的內容限制也是蠻多的而且你三減的預算你如果這話不當已經三減了你可以再追加預算嗎一般追加預算預算不足再進行追加預算不是嗎所以說顯然不符嘛這個不可能嘛第二個有沒有可能找韓院長來想說加速解凍的可能性 |
transcript.whisperx[9].start |
232.694 |
transcript.whisperx[9].end |
253.007 |
transcript.whisperx[9].text |
這個如果將來需要的時候因為我還是感謝韓院長在總預算最後審議之前他還是做出了相當的努力那我們也達成了一些的共識有努力沒有結果啊也沒有結果啊口惠而不死嘛第三個呢有沒有其他憲政的一個手法 |
transcript.whisperx[10].start |
254.898 |
transcript.whisperx[10].end |
279.13 |
transcript.whisperx[10].text |
如果合法合憲的程序那當然最後在最後最後的選擇就是尋求憲政的救濟我們只有對用憲法的精神來解釋這部財政憲法到底合不合憲法的規定跟精神好 這是第三個手法好 早上啊那個傅坤琦把醫藥部會的首長叫上來每一個看起來很仁慈的方式如有自然男性來找我 |
transcript.whisperx[11].start |
280.077 |
transcript.whisperx[11].end |
306.934 |
transcript.whisperx[11].text |
我真的想不出什麼方法啊剩下就這幾個方法而已不是嗎難道我們立法院可以編總預算嗎立法院只有議決法案跟預算的權利只有議決法案的這個權利我們可以編總預算嗎不可能嘛第二個難道立法院可以印鈔票嗎當然不行當然也不行嘛難道還是要用朱立倫的方法發現金來繳電費是不是我真的搞不清楚有什麼方法嘛 |
transcript.whisperx[12].start |
307.847 |
transcript.whisperx[12].end |
336.496 |
transcript.whisperx[12].text |
對不對 好 那你再看看喔現在早上 正 早上還提出一個很荒謬的事情也就是說呢 副主席還提到說有關於這個台積電的部分你去看看喔 跟這個總預算也有關係台積電整個全球佈局啊 院長出去外面就是奈米數加一嘛留在台灣就是奈米數減一嘛 是不是把先進的製程留在台灣嘛 |
transcript.whisperx[13].start |
338.291 |
transcript.whisperx[13].end |
355.815 |
transcript.whisperx[13].text |
台積電去美國設廠什麼時候會生產3奈米也要到2028年的時候才會生產3奈米我們的台積電現在3奈米在南克的時候不知道生產幾年了而且今年高雄可能就2奈米就要生產了是不是台積電在美國第一個廠也只不過要生產4奈米 |
transcript.whisperx[14].start |
357.378 |
transcript.whisperx[14].end |
373.875 |
transcript.whisperx[14].text |
對 也是四奈米嘛對不對 四奈米 三奈米跟二奈米等到我們二奈米都生產了幾年的時候台積電才有所謂二奈米嘛關鍵是在那個時間差 時間走嘛就是說我們有拉長這個時間起碼三年以上把先進的製程留在台灣這就是台灣的優勢 是不是所以產業的全球佈局 |
transcript.whisperx[15].start |
378.021 |
transcript.whisperx[15].end |
400.723 |
transcript.whisperx[15].text |
前面兩個要求第一個就是維持台灣最領先的科技地位第二個無論怎麼佈局都要跟流台灣不能讓台灣的產業空洞所以這種N加1的方式台灣加1的方式是我們奈米加1嘛你出去就奈米加1嘛而這個奈米加1的全球佈局有什麼好處第一個有經濟安全保障的效應 |
transcript.whisperx[16].start |
401.764 |
transcript.whisperx[16].end |
427.474 |
transcript.whisperx[16].text |
第二個有科技外交的效果對不對第三有能源解壓的一個需求嘛你所有的集中在台灣的話你有辦法有那麼多的電嗎來提供這些先進製程來生產嗎我們現在選就在黨已經一再質疑說我們能源政策有問題不夠電不夠如果你把所有先進製程留在台灣還夠嗎這個現實的壓力嘛不是嗎 |
transcript.whisperx[17].start |
430.151 |
transcript.whisperx[17].end |
440.817 |
transcript.whisperx[17].text |
好 分散市場跟分散製程的所在一向是產業在佈局當中重要的考量是 那簡單的講 他說這台積電不能去美啦他是怕台美關係太好嗎 |
transcript.whisperx[18].start |
442.028 |
transcript.whisperx[18].end |
462.243 |
transcript.whisperx[18].text |
我想想不出什麼理由啊啊你一手說不能去沒結果你知道我們在美國的台橋台商這兩天跟透過跟美國國會議員很密切的接觸會產生對台灣更有力的協助我們樂見這樣的結果但這個不是我們唯一的要求我們唯一的要求是讓台灣的廠商在世界站上重要的地位 |
transcript.whisperx[19].start |
462.543 |
transcript.whisperx[19].end |
484.84 |
transcript.whisperx[19].text |
他或許有外交的效果 事實上也有經濟上的考量啦他必須將近就定的市場的需求嘛就像愛斯摩爾會來台灣設廠 來台南設廠最主要的原因他要提供台積電的服務 同樣的道理嘛二來再來講 你說好 假設不能去美的話 他要跟流台灣的話他希望台積電壯大的話 那為什麼這一次三大園區當中 各凍結30% |
transcript.whisperx[20].start |
488.598 |
transcript.whisperx[20].end |
499.317 |
transcript.whisperx[20].text |
院長 你不覺得很矛盾嗎一首說要跟留台灣 不能出去另外一首說要凍結南科 中科 竹科30%中科南科凍結30%對台積電會不會有影響 國務部長會不會有影響 |
transcript.whisperx[21].start |
503.482 |
transcript.whisperx[21].end |
524.179 |
transcript.whisperx[21].text |
邦奧委員 那凍結一定是會有影響當然會有影響對不對台積電正整的南科的產值都超過一半凍結30%不就凍結南科嗎 不是嗎所以一手這樣做 一手這樣做這根本是左右矛盾的情況左右矛盾又出來了我想請一下外交部的林佳龍部長麻煩請外交部長備詢 |
transcript.whisperx[22].start |
525.22 |
transcript.whisperx[22].end |
547.287 |
transcript.whisperx[22].text |
林部長他上來具有宏觀的思考提出一個總和外交人人都是外交官所以外交很重要可是這次我們外交部變成受災戶最大的受災戶整個業務被刪減五成宣傳會全部被刪光我真的很擔心部長你這個總和外交還推得下去嗎 |
transcript.whisperx[23].start |
549.552 |
transcript.whisperx[23].end |
576.883 |
transcript.whisperx[23].text |
業務被凍結一半影響非常大尤其是我們外管的運作現在已經是三月了我想韓院長在上特別了解我們駐外人員的辛苦跟大拼的精神所以今年我們也是透過美處安排韓院長率團去參加川普總統的就職典禮你很貼心啊韓院長出去應該大部分都花外交部的嘛都外交部買檔對不對 |
transcript.whisperx[24].start |
578.323 |
transcript.whisperx[24].end |
595.337 |
transcript.whisperx[24].text |
在地 我們立法院也有國會外交的預算但是大部分出去我們出去大部分都花外交部的但是我們立法院卻一直砍外交部的預算但是我給你一個數字立法院自己在國會外交增加了不少增加了50%從4160萬變成6759萬爆增2599萬 |
transcript.whisperx[25].start |
605.469 |
transcript.whisperx[25].end |
612.363 |
transcript.whisperx[25].text |
一手在砍外交部那一手增加自己國會外交你覺得有沒有矛盾當然像國際宣傳費用1億3的1億4 |
transcript.whisperx[26].start |
617.581 |
transcript.whisperx[26].end |
639.887 |
transcript.whisperx[26].text |
這個我們當然很難做事以外 就是零啦當然應該是沒有付的啦 但是當然...對啊 立法院出去大部分是花外交部的啊奇怪 出去外交部要他買單在國內要砍外交部的預算 你不覺得是矛盾嗎更何況啊 你去看我們這一今年度的預算增加兩千萬再增加在一般事務費喔 |
transcript.whisperx[27].start |
641.365 |
transcript.whisperx[27].end |
646.958 |
transcript.whisperx[27].text |
五百萬再增加什麼 國會聯誼會這旅費的部分 增加兩千五百多萬 |
transcript.whisperx[28].start |
648.695 |
transcript.whisperx[28].end |
674.48 |
transcript.whisperx[28].text |
老實說我們立法委員基本上沒有增加我們還是一樣20萬報告委員我們外交部這個我們這個出國還有邀訪的費用是被砍了一成五連那個也被砍嘛但是立法院多了50%多了50%而且但是這不多在立法委員身上我覺得這基本上應該是立法院正副院長用得到而已 |
transcript.whisperx[29].start |
675.67 |
transcript.whisperx[29].end |
697.958 |
transcript.whisperx[29].text |
這應該是韓院長還有江副院長的外交特資費啦高達2500萬哪有這種道理 如果你認為外交很重要的話外交部的預算就不應該砍啊你一手認為外交很重要 國會外交很重要國會外交是第二國 外交是第一國 外交砍掉 第二國外交增加你不覺得這很矛盾嗎 部長 |
transcript.whisperx[30].start |
699.592 |
transcript.whisperx[30].end |
727.111 |
transcript.whisperx[30].text |
是影響很大因為現在全世界都想跟台灣交朋友我們外館真的是業務增加很多那我們出訪的立委又特別多特別寒暑假所以我們要接待以外在地的接洽真的也是需要預算的支持如果像現在我們要增加50%的話出訪的比例一定會比以前更增加嘛更增加是不是要花外交部更多的錢那你怎麼辦 |
transcript.whisperx[31].start |
728.834 |
transcript.whisperx[31].end |
753.823 |
transcript.whisperx[31].text |
那沒錢就是沒辦法辦啦所以以後要立法院自行買單就好了外交部不用幫忙出了是不是這個當然立法院如果有增加當然就看立委跟立法院的決定啦那我的部分就搞不好你以後出去要還院長請你吃飯了啦我跟你講謝謝委員委員是在凸顯預算審議的不合理啦但是我認為政府國家是一體的 |
transcript.whisperx[32].start |
754.763 |
transcript.whisperx[32].end |
771.152 |
transcript.whisperx[32].text |
無論誰如果代表國家 為國家走到世界去院長你有高度啦你有高度啦但是我們還是要合理的分配但是其他人不一定像你一樣有高度啦但是受災戶的不只外交部啦院長我再跟你講那個0121的受災戶也很嚴重啦你知道為什麼嗎 |
transcript.whisperx[33].start |
771.991 |
transcript.whisperx[33].end |
797.199 |
transcript.whisperx[33].text |
就是0403你一直下去南部的時候地震的時候受災禍很嚴重當初你就提到說要比照0403但是0403 院長我跟您提醒一下一個月的時候就通過重建方案的含低利貸款一個月就很通過了可是我們0121到現在低利貸款還沒通過呢就我知道內政部在1 2月21號的時候說送到國發會去了國發會遲遲都沒有開會 |
transcript.whisperx[34].start |
801.623 |
transcript.whisperx[34].end |
825.834 |
transcript.whisperx[34].text |
我就不曉得為什麼就查一查了解了結果聽說又跟預算有關係好像啊是要動用預算還是要動用基金這搞不清楚我就想到說這是不是又跟這一次的總預算被刪除有關聯啊院長你說說明一下啊這第一代款很重要所有八大公股銀行都下去了啊1.1871到現在還沒有辦法核定 |
transcript.whisperx[35].start |
827.279 |
transcript.whisperx[35].end |
852.456 |
transcript.whisperx[35].text |
跟我們報告 再無論如何預算是不是有刪除無論是不是有刪除啦我會要求救災的部分絕對我們自己怎麼樣都要把它補足事實上已經拖了五十幾天啊所以因為0403那個專案已經有了那個辦法已經有了所以我們沒有另外去弄一個就是比照它再來審查的這個速度我們這兩天有發現盡量把它補下來我已經要求國發會直接送到幾天 給個時間嘛給個時間嘛我們今天會送 |
transcript.whisperx[36].start |
855.878 |
transcript.whisperx[36].end |
883.313 |
transcript.whisperx[36].text |
今天會送上來今天送上來 明天先出來這禮拜完成好的好 謝謝院長最後院長最近很夯的一個議題我想請你表態一下為什麼台灣的藝人常常跟對岸來唱和常常對中共來唱和常常來表示這些親中的言論來擾亂這些台灣的一些明星這種情況底下要怎麼處理 |
transcript.whisperx[37].start |
884.674 |
transcript.whisperx[37].end |
914.354 |
transcript.whisperx[37].text |
藝人走綜維在他的演藝的市場他著重在大陸那麼大的一個市場但是我覺得每個人對自己生長的地方這個根一定要扎下去他才會有根可以回我們現在看到有些藝人去到大陸發展不順的時候他還是回到台灣來是啊 最後根還是在台灣嘛可是邱主委這要怎麼處理啊這擾亂民心耶是 謝謝委員的指導我們的極少數的國內的藝人在中國大陸 |
transcript.whisperx[38].start |
914.514 |
transcript.whisperx[38].end |
914.548 |
transcript.whisperx[38].text |
谢谢观看 |
transcript.whisperx[39].start |
946.121 |
transcript.whisperx[39].end |
947.083 |
transcript.whisperx[39].text |
今天是我們剛才質詢的郭國文 |