IVOD_ID |
161324 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161324 |
日期 |
2025-05-14 |
會議資料.會議代碼 |
聯席會議-11-3-19,20-1 |
會議資料.會議代碼:str |
第11屆第3會期經濟、財政兩委員會第1次聯席會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
1 |
會議資料.種類 |
聯席會議 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼[1] |
20 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.委員會代碼:str[1] |
財政委員會 |
會議資料.標題 |
第11屆第3會期經濟、財政兩委員會第1次聯席會議 |
影片種類 |
Clip |
開始時間 |
2025-05-14T10:15:43+08:00 |
結束時間 |
2025-05-14T10:28:32+08:00 |
影片長度 |
00:12:49 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4f2e91488ef6971b30ba967b5fd23bf7a35373469a84e2c35433fb1cebf983d8c9b4925af52c8bb35ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
邱議瑩 |
委員發言時間 |
10:15:43 - 10:28:32 |
會議時間 |
2025-05-14T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟、財政兩委員會第1次聯席會議(事由:審查:
一、行政院函請審議「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」案。
二、本院國民黨黨團擬具「因應國際情勢強化經濟社會及民眾消費韌性特別條例草案」案。
三、本院台灣民眾黨黨團擬具「因應國際情勢衝擊強化經濟社會韌性特別條例草案」案。
四、本院委員蔡易餘等18人擬具「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」案。
五、本院委員王美惠等17人擬具「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」案。
(第一案如未獲議事處來函則不予審查,第二至第五案業經各黨團簽署不復議同意書。)(詢答)
【5月14日及5月15日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_04 |
transcript.pyannote[0].start |
9.46409375 |
transcript.pyannote[0].end |
10.76346875 |
transcript.pyannote[1].speaker |
SPEAKER_04 |
transcript.pyannote[1].start |
11.69159375 |
transcript.pyannote[1].end |
12.31596875 |
transcript.pyannote[2].speaker |
SPEAKER_04 |
transcript.pyannote[2].start |
12.82221875 |
transcript.pyannote[2].end |
16.12971875 |
transcript.pyannote[3].speaker |
SPEAKER_04 |
transcript.pyannote[3].start |
16.31534375 |
transcript.pyannote[3].end |
17.29409375 |
transcript.pyannote[4].speaker |
SPEAKER_04 |
transcript.pyannote[4].start |
17.91846875 |
transcript.pyannote[4].end |
21.51284375 |
transcript.pyannote[5].speaker |
SPEAKER_04 |
transcript.pyannote[5].start |
22.23846875 |
transcript.pyannote[5].end |
25.84971875 |
transcript.pyannote[6].speaker |
SPEAKER_04 |
transcript.pyannote[6].start |
26.57534375 |
transcript.pyannote[6].end |
28.75221875 |
transcript.pyannote[7].speaker |
SPEAKER_04 |
transcript.pyannote[7].start |
29.86596875 |
transcript.pyannote[7].end |
32.21159375 |
transcript.pyannote[8].speaker |
SPEAKER_04 |
transcript.pyannote[8].start |
33.19034375 |
transcript.pyannote[8].end |
38.69159375 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
33.20721875 |
transcript.pyannote[9].end |
34.43909375 |
transcript.pyannote[10].speaker |
SPEAKER_04 |
transcript.pyannote[10].start |
42.47159375 |
transcript.pyannote[10].end |
43.60221875 |
transcript.pyannote[11].speaker |
SPEAKER_04 |
transcript.pyannote[11].start |
44.86784375 |
transcript.pyannote[11].end |
53.30534375 |
transcript.pyannote[12].speaker |
SPEAKER_04 |
transcript.pyannote[12].start |
53.79471875 |
transcript.pyannote[12].end |
57.42284375 |
transcript.pyannote[13].speaker |
SPEAKER_04 |
transcript.pyannote[13].start |
58.06409375 |
transcript.pyannote[13].end |
58.80659375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
58.89096875 |
transcript.pyannote[14].end |
63.21096875 |
transcript.pyannote[15].speaker |
SPEAKER_04 |
transcript.pyannote[15].start |
63.21096875 |
transcript.pyannote[15].end |
67.14284375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
67.96971875 |
transcript.pyannote[16].end |
77.80784375 |
transcript.pyannote[17].speaker |
SPEAKER_04 |
transcript.pyannote[17].start |
78.01034375 |
transcript.pyannote[17].end |
97.90596875 |
transcript.pyannote[18].speaker |
SPEAKER_04 |
transcript.pyannote[18].start |
98.66534375 |
transcript.pyannote[18].end |
99.20534375 |
transcript.pyannote[19].speaker |
SPEAKER_04 |
transcript.pyannote[19].start |
99.66096875 |
transcript.pyannote[19].end |
103.22159375 |
transcript.pyannote[20].speaker |
SPEAKER_04 |
transcript.pyannote[20].start |
103.44096875 |
transcript.pyannote[20].end |
109.73534375 |
transcript.pyannote[21].speaker |
SPEAKER_04 |
transcript.pyannote[21].start |
109.97159375 |
transcript.pyannote[21].end |
115.45596875 |
transcript.pyannote[22].speaker |
SPEAKER_04 |
transcript.pyannote[22].start |
115.69221875 |
transcript.pyannote[22].end |
123.91034375 |
transcript.pyannote[23].speaker |
SPEAKER_04 |
transcript.pyannote[23].start |
124.50096875 |
transcript.pyannote[23].end |
128.14596875 |
transcript.pyannote[24].speaker |
SPEAKER_04 |
transcript.pyannote[24].start |
128.41596875 |
transcript.pyannote[24].end |
130.39034375 |
transcript.pyannote[25].speaker |
SPEAKER_04 |
transcript.pyannote[25].start |
130.93034375 |
transcript.pyannote[25].end |
144.16034375 |
transcript.pyannote[26].speaker |
SPEAKER_04 |
transcript.pyannote[26].start |
145.25721875 |
transcript.pyannote[26].end |
152.76659375 |
transcript.pyannote[27].speaker |
SPEAKER_04 |
transcript.pyannote[27].start |
153.32346875 |
transcript.pyannote[27].end |
154.15034375 |
transcript.pyannote[28].speaker |
SPEAKER_04 |
transcript.pyannote[28].start |
155.02784375 |
transcript.pyannote[28].end |
157.44096875 |
transcript.pyannote[29].speaker |
SPEAKER_04 |
transcript.pyannote[29].start |
157.49159375 |
transcript.pyannote[29].end |
164.20784375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
162.11534375 |
transcript.pyannote[30].end |
162.14909375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
162.21659375 |
transcript.pyannote[31].end |
162.33471875 |
transcript.pyannote[32].speaker |
SPEAKER_04 |
transcript.pyannote[32].start |
164.54534375 |
transcript.pyannote[32].end |
171.48096875 |
transcript.pyannote[33].speaker |
SPEAKER_04 |
transcript.pyannote[33].start |
171.80159375 |
transcript.pyannote[33].end |
174.75471875 |
transcript.pyannote[34].speaker |
SPEAKER_04 |
transcript.pyannote[34].start |
175.42971875 |
transcript.pyannote[34].end |
177.70784375 |
transcript.pyannote[35].speaker |
SPEAKER_04 |
transcript.pyannote[35].start |
178.85534375 |
transcript.pyannote[35].end |
183.42846875 |
transcript.pyannote[36].speaker |
SPEAKER_04 |
transcript.pyannote[36].start |
183.85034375 |
transcript.pyannote[36].end |
193.85721875 |
transcript.pyannote[37].speaker |
SPEAKER_04 |
transcript.pyannote[37].start |
194.97096875 |
transcript.pyannote[37].end |
196.25346875 |
transcript.pyannote[38].speaker |
SPEAKER_04 |
transcript.pyannote[38].start |
196.62471875 |
transcript.pyannote[38].end |
202.73346875 |
transcript.pyannote[39].speaker |
SPEAKER_04 |
transcript.pyannote[39].start |
203.57721875 |
transcript.pyannote[39].end |
207.30659375 |
transcript.pyannote[40].speaker |
SPEAKER_04 |
transcript.pyannote[40].start |
207.99846875 |
transcript.pyannote[40].end |
212.65596875 |
transcript.pyannote[41].speaker |
SPEAKER_04 |
transcript.pyannote[41].start |
213.87096875 |
transcript.pyannote[41].end |
217.53284375 |
transcript.pyannote[42].speaker |
SPEAKER_04 |
transcript.pyannote[42].start |
218.44409375 |
transcript.pyannote[42].end |
220.36784375 |
transcript.pyannote[43].speaker |
SPEAKER_04 |
transcript.pyannote[43].start |
221.09346875 |
transcript.pyannote[43].end |
222.64596875 |
transcript.pyannote[44].speaker |
SPEAKER_04 |
transcript.pyannote[44].start |
223.25346875 |
transcript.pyannote[44].end |
228.61971875 |
transcript.pyannote[45].speaker |
SPEAKER_04 |
transcript.pyannote[45].start |
229.21034375 |
transcript.pyannote[45].end |
234.72846875 |
transcript.pyannote[46].speaker |
SPEAKER_04 |
transcript.pyannote[46].start |
234.98159375 |
transcript.pyannote[46].end |
238.06971875 |
transcript.pyannote[47].speaker |
SPEAKER_04 |
transcript.pyannote[47].start |
238.52534375 |
transcript.pyannote[47].end |
240.29721875 |
transcript.pyannote[48].speaker |
SPEAKER_04 |
transcript.pyannote[48].start |
240.92159375 |
transcript.pyannote[48].end |
244.02659375 |
transcript.pyannote[49].speaker |
SPEAKER_04 |
transcript.pyannote[49].start |
244.38096875 |
transcript.pyannote[49].end |
247.62096875 |
transcript.pyannote[50].speaker |
SPEAKER_04 |
transcript.pyannote[50].start |
249.66284375 |
transcript.pyannote[50].end |
250.64159375 |
transcript.pyannote[51].speaker |
SPEAKER_04 |
transcript.pyannote[51].start |
251.24909375 |
transcript.pyannote[51].end |
253.59471875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
252.05909375 |
transcript.pyannote[52].end |
256.34534375 |
transcript.pyannote[53].speaker |
SPEAKER_04 |
transcript.pyannote[53].start |
256.34534375 |
transcript.pyannote[53].end |
258.69096875 |
transcript.pyannote[54].speaker |
SPEAKER_04 |
transcript.pyannote[54].start |
259.50096875 |
transcript.pyannote[54].end |
262.58909375 |
transcript.pyannote[55].speaker |
SPEAKER_04 |
transcript.pyannote[55].start |
263.23034375 |
transcript.pyannote[55].end |
265.99784375 |
transcript.pyannote[56].speaker |
SPEAKER_04 |
transcript.pyannote[56].start |
267.11159375 |
transcript.pyannote[56].end |
270.75659375 |
transcript.pyannote[57].speaker |
SPEAKER_04 |
transcript.pyannote[57].start |
272.71409375 |
transcript.pyannote[57].end |
275.27909375 |
transcript.pyannote[58].speaker |
SPEAKER_04 |
transcript.pyannote[58].start |
276.30846875 |
transcript.pyannote[58].end |
282.46784375 |
transcript.pyannote[59].speaker |
SPEAKER_04 |
transcript.pyannote[59].start |
283.31159375 |
transcript.pyannote[59].end |
288.69471875 |
transcript.pyannote[60].speaker |
SPEAKER_04 |
transcript.pyannote[60].start |
289.08284375 |
transcript.pyannote[60].end |
290.38221875 |
transcript.pyannote[61].speaker |
SPEAKER_04 |
transcript.pyannote[61].start |
290.98971875 |
transcript.pyannote[61].end |
291.61409375 |
transcript.pyannote[62].speaker |
SPEAKER_04 |
transcript.pyannote[62].start |
292.62659375 |
transcript.pyannote[62].end |
296.17034375 |
transcript.pyannote[63].speaker |
SPEAKER_04 |
transcript.pyannote[63].start |
296.50784375 |
transcript.pyannote[63].end |
298.51596875 |
transcript.pyannote[64].speaker |
SPEAKER_04 |
transcript.pyannote[64].start |
299.41034375 |
transcript.pyannote[64].end |
304.15221875 |
transcript.pyannote[65].speaker |
SPEAKER_04 |
transcript.pyannote[65].start |
304.81034375 |
transcript.pyannote[65].end |
309.04596875 |
transcript.pyannote[66].speaker |
SPEAKER_04 |
transcript.pyannote[66].start |
310.46346875 |
transcript.pyannote[66].end |
314.41221875 |
transcript.pyannote[67].speaker |
SPEAKER_04 |
transcript.pyannote[67].start |
314.78346875 |
transcript.pyannote[67].end |
317.88846875 |
transcript.pyannote[68].speaker |
SPEAKER_04 |
transcript.pyannote[68].start |
319.08659375 |
transcript.pyannote[68].end |
322.07346875 |
transcript.pyannote[69].speaker |
SPEAKER_04 |
transcript.pyannote[69].start |
322.56284375 |
transcript.pyannote[69].end |
323.72721875 |
transcript.pyannote[70].speaker |
SPEAKER_04 |
transcript.pyannote[70].start |
324.28409375 |
transcript.pyannote[70].end |
327.05159375 |
transcript.pyannote[71].speaker |
SPEAKER_04 |
transcript.pyannote[71].start |
328.60409375 |
transcript.pyannote[71].end |
331.74284375 |
transcript.pyannote[72].speaker |
SPEAKER_04 |
transcript.pyannote[72].start |
332.89034375 |
transcript.pyannote[72].end |
336.41721875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
337.34534375 |
transcript.pyannote[73].end |
339.25221875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
339.53909375 |
transcript.pyannote[74].end |
342.17159375 |
transcript.pyannote[75].speaker |
SPEAKER_04 |
transcript.pyannote[75].start |
343.33596875 |
transcript.pyannote[75].end |
344.70284375 |
transcript.pyannote[76].speaker |
SPEAKER_04 |
transcript.pyannote[76].start |
344.93909375 |
transcript.pyannote[76].end |
347.13284375 |
transcript.pyannote[77].speaker |
SPEAKER_04 |
transcript.pyannote[77].start |
347.40284375 |
transcript.pyannote[77].end |
353.51159375 |
transcript.pyannote[78].speaker |
SPEAKER_04 |
transcript.pyannote[78].start |
354.08534375 |
transcript.pyannote[78].end |
358.89471875 |
transcript.pyannote[79].speaker |
SPEAKER_04 |
transcript.pyannote[79].start |
359.51909375 |
transcript.pyannote[79].end |
361.15596875 |
transcript.pyannote[80].speaker |
SPEAKER_04 |
transcript.pyannote[80].start |
362.10096875 |
transcript.pyannote[80].end |
362.45534375 |
transcript.pyannote[81].speaker |
SPEAKER_04 |
transcript.pyannote[81].start |
362.87721875 |
transcript.pyannote[81].end |
368.31096875 |
transcript.pyannote[82].speaker |
SPEAKER_04 |
transcript.pyannote[82].start |
368.42909375 |
transcript.pyannote[82].end |
371.09534375 |
transcript.pyannote[83].speaker |
SPEAKER_04 |
transcript.pyannote[83].start |
372.25971875 |
transcript.pyannote[83].end |
373.49159375 |
transcript.pyannote[84].speaker |
SPEAKER_04 |
transcript.pyannote[84].start |
373.66034375 |
transcript.pyannote[84].end |
376.68096875 |
transcript.pyannote[85].speaker |
SPEAKER_04 |
transcript.pyannote[85].start |
377.82846875 |
transcript.pyannote[85].end |
379.29659375 |
transcript.pyannote[86].speaker |
SPEAKER_04 |
transcript.pyannote[86].start |
380.03909375 |
transcript.pyannote[86].end |
383.31284375 |
transcript.pyannote[87].speaker |
SPEAKER_04 |
transcript.pyannote[87].start |
383.80221875 |
transcript.pyannote[87].end |
385.79346875 |
transcript.pyannote[88].speaker |
SPEAKER_04 |
transcript.pyannote[88].start |
386.95784375 |
transcript.pyannote[88].end |
391.54784375 |
transcript.pyannote[89].speaker |
SPEAKER_04 |
transcript.pyannote[89].start |
393.26909375 |
transcript.pyannote[89].end |
394.16346875 |
transcript.pyannote[90].speaker |
SPEAKER_04 |
transcript.pyannote[90].start |
395.05784375 |
transcript.pyannote[90].end |
395.54721875 |
transcript.pyannote[91].speaker |
SPEAKER_04 |
transcript.pyannote[91].start |
396.30659375 |
transcript.pyannote[91].end |
400.50846875 |
transcript.pyannote[92].speaker |
SPEAKER_04 |
transcript.pyannote[92].start |
401.26784375 |
transcript.pyannote[92].end |
402.46596875 |
transcript.pyannote[93].speaker |
SPEAKER_04 |
transcript.pyannote[93].start |
402.85409375 |
transcript.pyannote[93].end |
404.00159375 |
transcript.pyannote[94].speaker |
SPEAKER_04 |
transcript.pyannote[94].start |
404.84534375 |
transcript.pyannote[94].end |
406.27971875 |
transcript.pyannote[95].speaker |
SPEAKER_04 |
transcript.pyannote[95].start |
407.52846875 |
transcript.pyannote[95].end |
414.66659375 |
transcript.pyannote[96].speaker |
SPEAKER_04 |
transcript.pyannote[96].start |
416.32034375 |
transcript.pyannote[96].end |
417.56909375 |
transcript.pyannote[97].speaker |
SPEAKER_04 |
transcript.pyannote[97].start |
418.98659375 |
transcript.pyannote[97].end |
421.83846875 |
transcript.pyannote[98].speaker |
SPEAKER_04 |
transcript.pyannote[98].start |
422.76659375 |
transcript.pyannote[98].end |
424.80846875 |
transcript.pyannote[99].speaker |
SPEAKER_04 |
transcript.pyannote[99].start |
425.38221875 |
transcript.pyannote[99].end |
427.98096875 |
transcript.pyannote[100].speaker |
SPEAKER_03 |
transcript.pyannote[100].start |
428.33534375 |
transcript.pyannote[100].end |
430.69784375 |
transcript.pyannote[101].speaker |
SPEAKER_03 |
transcript.pyannote[101].start |
431.17034375 |
transcript.pyannote[101].end |
435.60846875 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
436.19909375 |
transcript.pyannote[102].end |
438.40971875 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
438.57846875 |
transcript.pyannote[103].end |
442.83096875 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
443.26971875 |
transcript.pyannote[104].end |
445.61534375 |
transcript.pyannote[105].speaker |
SPEAKER_03 |
transcript.pyannote[105].start |
446.05409375 |
transcript.pyannote[105].end |
448.63596875 |
transcript.pyannote[106].speaker |
SPEAKER_03 |
transcript.pyannote[106].start |
448.93971875 |
transcript.pyannote[106].end |
451.85909375 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
451.96034375 |
transcript.pyannote[107].end |
473.79659375 |
transcript.pyannote[108].speaker |
SPEAKER_04 |
transcript.pyannote[108].start |
474.37034375 |
transcript.pyannote[108].end |
474.74159375 |
transcript.pyannote[109].speaker |
SPEAKER_04 |
transcript.pyannote[109].start |
475.29846875 |
transcript.pyannote[109].end |
475.97346875 |
transcript.pyannote[110].speaker |
SPEAKER_04 |
transcript.pyannote[110].start |
476.46284375 |
transcript.pyannote[110].end |
488.83221875 |
transcript.pyannote[111].speaker |
SPEAKER_04 |
transcript.pyannote[111].start |
489.52409375 |
transcript.pyannote[111].end |
489.96284375 |
transcript.pyannote[112].speaker |
SPEAKER_04 |
transcript.pyannote[112].start |
490.60409375 |
transcript.pyannote[112].end |
494.48534375 |
transcript.pyannote[113].speaker |
SPEAKER_04 |
transcript.pyannote[113].start |
495.04221875 |
transcript.pyannote[113].end |
497.57346875 |
transcript.pyannote[114].speaker |
SPEAKER_04 |
transcript.pyannote[114].start |
498.04596875 |
transcript.pyannote[114].end |
501.94409375 |
transcript.pyannote[115].speaker |
SPEAKER_04 |
transcript.pyannote[115].start |
503.14221875 |
transcript.pyannote[115].end |
504.20534375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
505.69034375 |
transcript.pyannote[116].end |
524.28659375 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
524.70846875 |
transcript.pyannote[117].end |
527.57721875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
528.35346875 |
transcript.pyannote[118].end |
529.33221875 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
529.65284375 |
transcript.pyannote[119].end |
532.31909375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
533.06159375 |
transcript.pyannote[120].end |
537.65159375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
538.00596875 |
transcript.pyannote[121].end |
542.29221875 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
542.78159375 |
transcript.pyannote[122].end |
548.08034375 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
548.29971875 |
transcript.pyannote[123].end |
553.86846875 |
transcript.pyannote[124].speaker |
SPEAKER_04 |
transcript.pyannote[124].start |
551.86034375 |
transcript.pyannote[124].end |
552.41721875 |
transcript.pyannote[125].speaker |
SPEAKER_04 |
transcript.pyannote[125].start |
553.56471875 |
transcript.pyannote[125].end |
571.48596875 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
556.65284375 |
transcript.pyannote[126].end |
557.00721875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
560.41596875 |
transcript.pyannote[127].end |
560.87159375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
567.85784375 |
transcript.pyannote[128].end |
567.94221875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
567.94221875 |
transcript.pyannote[129].end |
568.17846875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
568.17846875 |
transcript.pyannote[130].end |
568.27971875 |
transcript.pyannote[131].speaker |
SPEAKER_04 |
transcript.pyannote[131].start |
572.76846875 |
transcript.pyannote[131].end |
576.46409375 |
transcript.pyannote[132].speaker |
SPEAKER_04 |
transcript.pyannote[132].start |
576.93659375 |
transcript.pyannote[132].end |
577.94909375 |
transcript.pyannote[133].speaker |
SPEAKER_04 |
transcript.pyannote[133].start |
579.36659375 |
transcript.pyannote[133].end |
581.12159375 |
transcript.pyannote[134].speaker |
SPEAKER_04 |
transcript.pyannote[134].start |
581.96534375 |
transcript.pyannote[134].end |
585.12096875 |
transcript.pyannote[135].speaker |
SPEAKER_04 |
transcript.pyannote[135].start |
585.37409375 |
transcript.pyannote[135].end |
587.02784375 |
transcript.pyannote[136].speaker |
SPEAKER_04 |
transcript.pyannote[136].start |
587.87159375 |
transcript.pyannote[136].end |
591.41534375 |
transcript.pyannote[137].speaker |
SPEAKER_04 |
transcript.pyannote[137].start |
592.09034375 |
transcript.pyannote[137].end |
592.90034375 |
transcript.pyannote[138].speaker |
SPEAKER_04 |
transcript.pyannote[138].start |
593.35596875 |
transcript.pyannote[138].end |
594.87471875 |
transcript.pyannote[139].speaker |
SPEAKER_04 |
transcript.pyannote[139].start |
595.43159375 |
transcript.pyannote[139].end |
604.84784375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
605.75909375 |
transcript.pyannote[140].end |
606.90659375 |
transcript.pyannote[141].speaker |
SPEAKER_04 |
transcript.pyannote[141].start |
605.91096875 |
transcript.pyannote[141].end |
608.08784375 |
transcript.pyannote[142].speaker |
SPEAKER_04 |
transcript.pyannote[142].start |
608.39159375 |
transcript.pyannote[142].end |
611.74971875 |
transcript.pyannote[143].speaker |
SPEAKER_04 |
transcript.pyannote[143].start |
612.23909375 |
transcript.pyannote[143].end |
620.40659375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
613.55534375 |
transcript.pyannote[144].end |
613.94346875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
613.94346875 |
transcript.pyannote[145].end |
613.97721875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
613.97721875 |
transcript.pyannote[146].end |
614.02784375 |
transcript.pyannote[147].speaker |
SPEAKER_04 |
transcript.pyannote[147].start |
620.89596875 |
transcript.pyannote[147].end |
625.82346875 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
625.48596875 |
transcript.pyannote[148].end |
626.59971875 |
transcript.pyannote[149].speaker |
SPEAKER_04 |
transcript.pyannote[149].start |
626.07659375 |
transcript.pyannote[149].end |
630.21096875 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
627.78096875 |
transcript.pyannote[150].end |
627.84846875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
627.86534375 |
transcript.pyannote[151].end |
627.93284375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
630.21096875 |
transcript.pyannote[152].end |
630.70034375 |
transcript.pyannote[153].speaker |
SPEAKER_04 |
transcript.pyannote[153].start |
630.70034375 |
transcript.pyannote[153].end |
631.03784375 |
transcript.pyannote[154].speaker |
SPEAKER_04 |
transcript.pyannote[154].start |
631.25721875 |
transcript.pyannote[154].end |
634.36221875 |
transcript.pyannote[155].speaker |
SPEAKER_04 |
transcript.pyannote[155].start |
635.07096875 |
transcript.pyannote[155].end |
636.25221875 |
transcript.pyannote[156].speaker |
SPEAKER_04 |
transcript.pyannote[156].start |
636.96096875 |
transcript.pyannote[156].end |
639.74534375 |
transcript.pyannote[157].speaker |
SPEAKER_04 |
transcript.pyannote[157].start |
640.25159375 |
transcript.pyannote[157].end |
642.17534375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
642.51284375 |
transcript.pyannote[158].end |
642.76596875 |
transcript.pyannote[159].speaker |
SPEAKER_04 |
transcript.pyannote[159].start |
642.74909375 |
transcript.pyannote[159].end |
644.25096875 |
transcript.pyannote[160].speaker |
SPEAKER_04 |
transcript.pyannote[160].start |
644.92596875 |
transcript.pyannote[160].end |
648.62159375 |
transcript.pyannote[161].speaker |
SPEAKER_04 |
transcript.pyannote[161].start |
649.17846875 |
transcript.pyannote[161].end |
654.35909375 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
654.30846875 |
transcript.pyannote[162].end |
654.74721875 |
transcript.pyannote[163].speaker |
SPEAKER_04 |
transcript.pyannote[163].start |
654.74721875 |
transcript.pyannote[163].end |
663.40409375 |
transcript.pyannote[164].speaker |
SPEAKER_04 |
transcript.pyannote[164].start |
663.60659375 |
transcript.pyannote[164].end |
679.18221875 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
678.84471875 |
transcript.pyannote[165].end |
680.16096875 |
transcript.pyannote[166].speaker |
SPEAKER_04 |
transcript.pyannote[166].start |
680.16096875 |
transcript.pyannote[166].end |
680.59971875 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
681.74721875 |
transcript.pyannote[167].end |
682.97909375 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
683.94096875 |
transcript.pyannote[168].end |
684.93659375 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
685.98284375 |
transcript.pyannote[169].end |
687.06284375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
688.58159375 |
transcript.pyannote[170].end |
690.94409375 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
692.47971875 |
transcript.pyannote[171].end |
693.20534375 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
694.06596875 |
transcript.pyannote[172].end |
695.02784375 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
695.23034375 |
transcript.pyannote[173].end |
695.82096875 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
697.71096875 |
transcript.pyannote[174].end |
699.66846875 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
700.78221875 |
transcript.pyannote[175].end |
703.02659375 |
transcript.pyannote[176].speaker |
SPEAKER_02 |
transcript.pyannote[176].start |
704.25846875 |
transcript.pyannote[176].end |
706.18221875 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
706.82346875 |
transcript.pyannote[177].end |
708.46034375 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
709.21971875 |
transcript.pyannote[178].end |
712.20659375 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
712.74659375 |
transcript.pyannote[179].end |
713.70846875 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
714.51846875 |
transcript.pyannote[180].end |
716.98221875 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
717.94409375 |
transcript.pyannote[181].end |
718.95659375 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
719.27721875 |
transcript.pyannote[182].end |
723.88409375 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
724.22159375 |
transcript.pyannote[183].end |
727.83284375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
728.32221875 |
transcript.pyannote[184].end |
737.85659375 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
738.76784375 |
transcript.pyannote[185].end |
743.67846875 |
transcript.pyannote[186].speaker |
SPEAKER_04 |
transcript.pyannote[186].start |
744.15096875 |
transcript.pyannote[186].end |
754.29284375 |
transcript.pyannote[187].speaker |
SPEAKER_04 |
transcript.pyannote[187].start |
754.49534375 |
transcript.pyannote[187].end |
755.49096875 |
transcript.pyannote[188].speaker |
SPEAKER_04 |
transcript.pyannote[188].start |
756.23346875 |
transcript.pyannote[188].end |
761.98784375 |
transcript.pyannote[189].speaker |
SPEAKER_04 |
transcript.pyannote[189].start |
762.52784375 |
transcript.pyannote[189].end |
765.63284375 |
transcript.pyannote[190].speaker |
SPEAKER_04 |
transcript.pyannote[190].start |
766.03784375 |
transcript.pyannote[190].end |
767.97846875 |
transcript.whisperx[0].start |
10.202 |
transcript.whisperx[0].end |
27.711 |
transcript.whisperx[0].text |
謝謝主席這個我還是要懇請主席能夠稍微控制一下時間剛剛這個海委會主委要報告你就一直按鈴那這個其他委員講話你也不按鈴這個亂問一通來我請一下這個主計長跟經濟部次長待會會請那個海委會跟國防部請兩個單位準備一下 |
transcript.whisperx[1].start |
45.168 |
transcript.whisperx[1].end |
66.978 |
transcript.whisperx[1].text |
我想請教兩位這一個所謂的因應國際歧視強化經濟社會及國土安全任性特別條例草案主責的 主寫的單位是經濟部還是組織總署根文報告我們裡面載明的是經濟部為主管單位經濟部主導這個條例草案的百分之多少 |
transcript.whisperx[2].start |
68.301 |
transcript.whisperx[2].end |
88.395 |
transcript.whisperx[2].text |
其實我們是負責整個草案條文內容那相關的這些各部會的預算的編列的部分是院這邊會來協調好來這個次長跟主席長我也想請教當時我們寫了這個條例特別條例主要是為了因應美中跟美中台的這所謂的關稅的問題要對台灣的產業跟對台灣的整體經濟造成的衝擊來做因應所以我們設置了這個所謂的特別條例好 |
transcript.whisperx[3].start |
98.722 |
transcript.whisperx[3].end |
114.216 |
transcript.whisperx[3].text |
那後來因為大家覺得原來的預算規模太小所以行政院長就擴大了整體的預算規模來到4100億那4100億裡頭有包含了關稅因應的大概是930億國土任性有1500億跟整個社會支持的1670億左右大概是這樣的一個規模 |
transcript.whisperx[4].start |
124.605 |
transcript.whisperx[4].end |
143.972 |
transcript.whisperx[4].text |
所以我們要再來談到剛剛的幾位委員的詢問其實我看到把這個版本的名稱整理起來我覺得蠻好玩的其實我從小到大念中文我突然發現我們現在的委員們的提案或者是黨團的提案那個中文我看不太懂 |
transcript.whisperx[5].start |
145.285 |
transcript.whisperx[5].end |
174.136 |
transcript.whisperx[5].text |
比如說國民黨的提案是因應國際情勢強化經濟社會及民眾消費韌性特別條例我第一次聽到消費要韌性就是要開錢一直開錢堅持開錢那種就對了是不是這樣意思我不知道因為這個條例是這樣寫那民眾黨呢就直接把國土安全把它去掉就直接寫韌性這個還稍微可以理解喔所以這個條文名稱呢就讓我覺得非常詭異 |
transcript.whisperx[6].start |
175.492 |
transcript.whisperx[6].end |
193.779 |
transcript.whisperx[6].text |
但是條文內容更好玩了來 條文內容包括剛剛我的上一位非常資深的委員的提問內容我第一次坐在這裡很認真的聽完他的所有的質詢我只有四個字叫瞠目結舌什麼叫瞠目結舌國民黨的黨版把台電的一千億的撥補把它砍掉民眾黨也把台電的撥補把它砍掉 |
transcript.whisperx[7].start |
203.612 |
transcript.whisperx[7].end |
219.824 |
transcript.whisperx[7].text |
那台電的撥補砍掉要台電做兩件事情一個是全面重啟核電要蓋六座的機組第二個承諾到2028年以前不能漲電價這個台電董事長你也可以上來 |
transcript.whisperx[8].start |
221.922 |
transcript.whisperx[8].end |
247.16 |
transcript.whisperx[8].text |
剛剛的談話昨天通過的核管法處理的不是只有核三的研議喔是全部廚藝的要再運轉喔所以會有核一核二的再運轉跟核三的研議要處理如果依照剛剛講的賴委員說我給你一兆八千億啊你要不要 叫何康你為什麼不要他給你一兆八千億 |
transcript.whisperx[9].start |
249.724 |
transcript.whisperx[9].end |
265.191 |
transcript.whisperx[9].text |
哪有這種事情然後一兆八千億核能安全一兆八千億是投資的我要自己賺回來啊是啊 我先不要說那個核能安全誰負責 美國負責他最少講了超過20次美國負責台灣的核能安全叫美國來幫你負責我真的只有四個字 瞠目結舌 |
transcript.whisperx[10].start |
276.363 |
transcript.whisperx[10].end |
297.04 |
transcript.whisperx[10].text |
核能安全是我們自己要負的責任你要蓋一個機組或者是一個機組要研議當然是自己要負責他一直跟你講美國負責美國誰來跟你負責賴士寶說了算嗎我也不懂我們兩個禮拜前到美國去跟美國的商務部有進行會談進行見面 |
transcript.whisperx[11].start |
299.468 |
transcript.whisperx[11].end |
309.071 |
transcript.whisperx[11].text |
我們也很清楚問他SMR在美國的商轉的情況如何美國商務部很清楚告訴我們2030之前都不可能商轉好 你一直在講核能研議在運轉我就簡單問一個問題核廢料怎麼處理你核一除役了機組拆掉了你怎麼樣再運轉核廢料放哪裡核廢料要怎麼處理 |
transcript.whisperx[12].start |
328.989 |
transcript.whisperx[12].end |
341.838 |
transcript.whisperx[12].text |
當台電的供電系統的韌性不就是一個國土安全的一環嗎你們同意我的看法嗎澳元那個確實就是電網的韌性確實是國土安全的一環 |
transcript.whisperx[13].start |
343.71 |
transcript.whisperx[13].end |
360.355 |
transcript.whisperx[13].text |
國土安全 能源的供給我們一直在講你要撥補給這些中小企業要撥補給這些產業受到的影響當你沒有能源安全當你沒有這個電網的韌性的時候你撥補這些有什麼用呢好 那台電的這個一千億的撥補被講成這樣 然後又要你們承諾到2028之前都不能漲電價 |
transcript.whisperx[14].start |
372.298 |
transcript.whisperx[14].end |
391.509 |
transcript.whisperx[14].text |
又不讓你賺錢又不讓你漲電價政府又不能撥補然後又要叫你再花一兆八千億去蓋六座的核能電廠然後核廢料還不知道放哪裡我第一次看到這樣子不負責任的在野黨然後自己以為自己非常偉大我真的不太懂所以 |
transcript.whisperx[15].start |
396.348 |
transcript.whisperx[15].end |
421.475 |
transcript.whisperx[15].text |
我實在不知道這個所謂的特別條例裡面 他們一直講台電的撥補不要 國土任性不要然後普發現金我剛剛講那個請國防部來 那個台電可以先回座來經濟部次長可以先回座 國防部跟海委會國土任性 國土的安全 國家防衛的安全 |
transcript.whisperx[16].start |
423.208 |
transcript.whisperx[16].end |
435.366 |
transcript.whisperx[16].text |
會比普發現金更為不足道嗎請兩位回答我我的價值觀是生命安全的保障是無價之寶它更重要 |
transcript.whisperx[17].start |
436.3 |
transcript.whisperx[17].end |
453.429 |
transcript.whisperx[17].text |
所以我要跟所有的鄉親報告請了解這個更重要我們要保護大家的生命安全另外委員追加預算是假議題因為依據預算法第79條要編追加預算總共有四個條件第一個依法律增加業務 |
transcript.whisperx[18].start |
454.229 |
transcript.whisperx[18].end |
473.278 |
transcript.whisperx[18].text |
第二依法律增設新機關第三因重大事故軍費超過法定預算第四依有關法律應補列所以還是需要法律換句話說這個法律如果過我們編出來的預算也可以叫做特別預算也可以叫做追加預算一定要有法律所以那是假議題 |
transcript.whisperx[19].start |
474.38 |
transcript.whisperx[19].end |
500.948 |
transcript.whisperx[19].text |
好 這個管主委以前我們都叫你管媽 管委員你非常清楚立法院的運作國防部次長您大概也非常的清楚在整個國家安全上面台灣所遭受到的問題次長 這個是國防部未來的這個美國的次長Kobe他講說他希望台灣的軍費要編列接近GDP的10% |
transcript.whisperx[20].start |
503.188 |
transcript.whisperx[20].end |
531.935 |
transcript.whisperx[20].text |
我們做不做得到報告委員我想這個每一個國家在訴說這個GDP的時候事實上每個國家財政預渡都不一樣以我們國家為例我們還要視我們國家財政預渡來看我們的國防預算所以目前來講我們總統已經講了我們的GDP如果我們國防預算到3%我們是非常感謝國人的支持我們朝這方面努力國防預算這個東西是一個防衛決心的一個 |
transcript.whisperx[21].start |
533.123 |
transcript.whisperx[21].end |
546.817 |
transcript.whisperx[21].text |
最佳的一個表現所以這一點我想美國他在這個DOD我也才到這個美國的國防部裡面去他特別強調如果說我們把這樣子的一個國防預算提高到3%的話 |
transcript.whisperx[22].start |
548.419 |
transcript.whisperx[22].end |
577.68 |
transcript.whisperx[22].text |
足以證明你們自我防衛的決心讓全世界能夠看到那這是非常重要所以我們在原來的預算裡頭還想盡辦法要到3%在特別條例在國土安全任性的這個部分我們只編列1500億我都還嫌太少我每次看到海委會售出來的那些影片照片我們的海巡兄弟這麼辛苦 |
transcript.whisperx[23].start |
579.577 |
transcript.whisperx[23].end |
604.939 |
transcript.whisperx[23].text |
結果設備是不足的熱顯相儀也不足夜視系統也沒有海下的系統也沒有誰來幫他們的生命安全做保障我們的軍官兄弟們起飛戰機起飛降落在各個地方保衛台灣疆域的安全一千五百億的這個國土安全任性的預算是遠遠不足的 |
transcript.whisperx[24].start |
606.042 |
transcript.whisperx[24].end |
634.054 |
transcript.whisperx[24].text |
其實我覺得我們應該要把我們自己捍衛台灣的決心展現出來喔所以我是全力支持國防部跟海巡單位在這個預算的編列上面我其實覺得如果可以的話我希望把預算做一些調整這個1500億其實是應該要適度的增加喔那我想在這個特別條例上面 |
transcript.whisperx[25].start |
635.134 |
transcript.whisperx[25].end |
651.77 |
transcript.whisperx[25].text |
我們很期待對於國家安全的保障我們其實應該多做一點事啊是的國家安全保障至少不是只有說你去跟美國買軍購你有很多的國防產業供應鏈其實也是經濟的一環啊是的 |
transcript.whisperx[26].start |
655.093 |
transcript.whisperx[26].end |
679.511 |
transcript.whisperx[26].text |
這個都是環環相扣的喔所以我在期待這件事情我其實覺得應該站在一個更理性的角度來看待站在一個對於國家防衛對於國家整體經濟振興的角度來看待我會全力的支持這個條例的通過那我也希望在國防軍備的預算上面能夠來適度的增加喔 以上可以給我30秒嗎好來我覺得這個 |
transcript.whisperx[27].start |
684.265 |
transcript.whisperx[27].end |
702.87 |
transcript.whisperx[27].text |
國防一算真的需要大家支持國軍官兵每天面對會之地的衝突我憑良講我做一個老兵五十年我看到我們的學弟學妹不辭勞苦在海上在空中 |
transcript.whisperx[28].start |
704.836 |
transcript.whisperx[28].end |
715.647 |
transcript.whisperx[28].text |
請問國人給他支持是什麼就是國防預算的增加讓他在海上應付灰災地災衝突的時候他無憂無慮他能有信心去面對我們這樣威脅 |
transcript.whisperx[29].start |
719.425 |
transcript.whisperx[29].end |
737.614 |
transcript.whisperx[29].text |
1500億只不過是一個表徵但重點是國人對我們的支持是非常重要的所以我很感慨講這個事情希望大家在這次的急迫性的建案來講灰色地帶的建案是可以馬上降低我們國軍官兵應對灰色地帶衝突的負荷 |
transcript.whisperx[30].start |
739.043 |
transcript.whisperx[30].end |
767.221 |
transcript.whisperx[30].text |
這個是對我們國家安全是一個很好的保障希望大家給予我們支持謝謝委員這個次長我剛剛聽你這樣講我其實眼淚都快掉下來齁全世界都已經在發展無人載具喔結果我們在這個預算上面編列了無人機的預算還被砍掉我真的對台灣的整體安全感到擔憂啦那也對於我們的國軍兄弟保家衛國的這樣的一個行為深深感到敬佩喔謝謝 |
transcript.whisperx[31].start |
769.268 |
transcript.whisperx[31].end |
769.29 |
transcript.whisperx[31].text |
好 |