| IVOD_ID |
166269 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/166269 |
| 日期 |
2025-12-10 |
| 會議資料.會議代碼 |
委員會-11-4-20-12 |
| 會議資料.會議代碼:str |
第11屆第4會期財政委員會第12次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
12 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
20 |
| 會議資料.委員會代碼:str[0] |
財政委員會 |
| 會議資料.標題 |
第11屆第4會期財政委員會第12次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-12-10T09:48:47+08:00 |
| 結束時間 |
2025-12-10T09:59:47+08:00 |
| 影片長度 |
00:11:00 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a128e1119a2c25c0fa2204731de13e6b9ecb9f93c172c55144a569ea12001d9791b1f0c7435980ee5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
賴士葆 |
| 委員發言時間 |
09:48:47 - 09:59:47 |
| 會議時間 |
2025-12-10T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期財政委員會第12次全體委員會議(事由:一、審查「財政收支劃分法」7案:(僅詢答)
(一) 本院委員郭國文等17人、委員賴瑞隆等19人、委員賴瑞隆等17人分別擬具「財政收支劃分法部分條文修正草案」等3案。
(二) 本院委員陳玉珍等19人擬具「財政收支劃分法第八條條文修正草案」案。
(三) 本院委員邱議瑩等26人擬具「財政收支劃分法第十六條之一條文修正草案」案。
(四) 本院委員蔡易餘等17人擬具「財政收支劃分法第十六條之一及第三十條條文修正草案」案。
(五) 本院委員陳玉珍等24人擬具「財政收支劃分法第三十條條文修正草案」案。
二、審查「國家金融安定基金設置及管理條例」2案:(僅詢答)
(一)本院委員郭國文等18人擬具「國家金融安定基金設置及管理條例第四條條文修正草案」案。
(二)本院委員李坤城等18人擬具「國家金融安定基金設置及管理條例第四條及第五條條文修正草案」案。
【12月10日及11日二天一次會】) |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
1.02659375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
1.27971875 |
| transcript.pyannote[1].end |
3.60846875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
4.04721875 |
| transcript.pyannote[2].end |
4.94159375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
9.80159375 |
| transcript.pyannote[3].end |
9.81846875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
9.81846875 |
| transcript.pyannote[4].end |
10.37534375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
10.81409375 |
| transcript.pyannote[5].end |
11.47221875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
12.38346875 |
| transcript.pyannote[6].end |
20.01096875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
20.23034375 |
| transcript.pyannote[7].end |
24.02721875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
24.19596875 |
| transcript.pyannote[8].end |
25.27596875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
26.71034375 |
| transcript.pyannote[9].end |
28.22909375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
28.81971875 |
| transcript.pyannote[10].end |
30.87846875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
31.21596875 |
| transcript.pyannote[11].end |
35.77221875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
35.95784375 |
| transcript.pyannote[12].end |
39.14721875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
39.80534375 |
| transcript.pyannote[13].end |
45.45846875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
45.74534375 |
| transcript.pyannote[14].end |
52.47846875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
53.45721875 |
| transcript.pyannote[15].end |
56.42721875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
56.15721875 |
| transcript.pyannote[16].end |
57.64221875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
57.64221875 |
| transcript.pyannote[17].end |
57.86159375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
57.86159375 |
| transcript.pyannote[18].end |
57.94596875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
57.94596875 |
| transcript.pyannote[19].end |
61.15221875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
60.51096875 |
| transcript.pyannote[20].end |
66.02909375 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
66.61971875 |
| transcript.pyannote[21].end |
82.85346875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
73.77471875 |
| transcript.pyannote[22].end |
75.93471875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
76.82909375 |
| transcript.pyannote[23].end |
77.26784375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
82.76909375 |
| transcript.pyannote[24].end |
93.60284375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
82.87034375 |
| transcript.pyannote[25].end |
82.88721875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
93.67034375 |
| transcript.pyannote[26].end |
94.88534375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
96.53909375 |
| transcript.pyannote[27].end |
98.66534375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
99.37409375 |
| transcript.pyannote[28].end |
100.20096875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
101.68596875 |
| transcript.pyannote[29].end |
103.89659375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
105.06096875 |
| transcript.pyannote[30].end |
106.76534375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
107.10284375 |
| transcript.pyannote[31].end |
107.98034375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
108.92534375 |
| transcript.pyannote[32].end |
109.88721875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
110.22471875 |
| transcript.pyannote[33].end |
111.65909375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
111.70971875 |
| transcript.pyannote[34].end |
112.18221875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
112.75596875 |
| transcript.pyannote[35].end |
113.48159375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
114.57846875 |
| transcript.pyannote[36].end |
114.94971875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
115.50659375 |
| transcript.pyannote[37].end |
116.06346875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
116.75534375 |
| transcript.pyannote[38].end |
120.53534375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
120.97409375 |
| transcript.pyannote[39].end |
122.54346875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
123.04971875 |
| transcript.pyannote[40].end |
130.71096875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
131.45346875 |
| transcript.pyannote[41].end |
132.12846875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
132.43221875 |
| transcript.pyannote[42].end |
135.23346875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
136.31346875 |
| transcript.pyannote[43].end |
140.51534375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
141.12284375 |
| transcript.pyannote[44].end |
146.57346875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
147.23159375 |
| transcript.pyannote[45].end |
148.78409375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
148.96971875 |
| transcript.pyannote[46].end |
150.03284375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
151.36596875 |
| transcript.pyannote[47].end |
152.32784375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
153.35721875 |
| transcript.pyannote[48].end |
155.88846875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
156.98534375 |
| transcript.pyannote[49].end |
158.63909375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
159.31409375 |
| transcript.pyannote[50].end |
160.88346875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
160.96784375 |
| transcript.pyannote[51].end |
162.92534375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
163.73534375 |
| transcript.pyannote[52].end |
171.73409375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
172.13909375 |
| transcript.pyannote[53].end |
174.21471875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
175.39596875 |
| transcript.pyannote[54].end |
175.68284375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
176.35784375 |
| transcript.pyannote[55].end |
177.18471875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
177.77534375 |
| transcript.pyannote[56].end |
178.51784375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
178.66971875 |
| transcript.pyannote[57].end |
180.23909375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
180.37409375 |
| transcript.pyannote[58].end |
181.03221875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
181.40346875 |
| transcript.pyannote[59].end |
183.58034375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
184.00221875 |
| transcript.pyannote[60].end |
186.90471875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
187.44471875 |
| transcript.pyannote[61].end |
189.75659375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
190.26284375 |
| transcript.pyannote[62].end |
190.73534375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
190.88721875 |
| transcript.pyannote[63].end |
193.87409375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
194.41409375 |
| transcript.pyannote[64].end |
195.47721875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
196.08471875 |
| transcript.pyannote[65].end |
197.31659375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
197.78909375 |
| transcript.pyannote[66].end |
200.77596875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
201.24846875 |
| transcript.pyannote[67].end |
202.32846875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
202.73346875 |
| transcript.pyannote[68].end |
205.68659375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
206.37846875 |
| transcript.pyannote[69].end |
208.11659375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
209.60159375 |
| transcript.pyannote[70].end |
211.50846875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
213.26346875 |
| transcript.pyannote[71].end |
216.72284375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
217.43159375 |
| transcript.pyannote[72].end |
220.13159375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
220.53659375 |
| transcript.pyannote[73].end |
221.70096875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
221.97096875 |
| transcript.pyannote[74].end |
228.06284375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
228.97409375 |
| transcript.pyannote[75].end |
231.38721875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
231.87659375 |
| transcript.pyannote[76].end |
233.31096875 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
232.73721875 |
| transcript.pyannote[77].end |
248.04284375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
248.21159375 |
| transcript.pyannote[78].end |
273.45659375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
272.10659375 |
| transcript.pyannote[79].end |
273.96284375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
274.55346875 |
| transcript.pyannote[80].end |
289.50471875 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
282.78846875 |
| transcript.pyannote[81].end |
283.36221875 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
288.45846875 |
| transcript.pyannote[82].end |
291.05721875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
289.70721875 |
| transcript.pyannote[83].end |
291.15846875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
291.15846875 |
| transcript.pyannote[84].end |
291.47909375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
292.01909375 |
| transcript.pyannote[85].end |
294.93846875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
295.83284375 |
| transcript.pyannote[86].end |
296.62596875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
297.40221875 |
| transcript.pyannote[87].end |
301.87409375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
299.30909375 |
| transcript.pyannote[88].end |
299.98409375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
301.40159375 |
| transcript.pyannote[89].end |
305.21534375 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
302.68409375 |
| transcript.pyannote[90].end |
302.83596875 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
304.70909375 |
| transcript.pyannote[91].end |
305.29971875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
305.29971875 |
| transcript.pyannote[92].end |
305.31659375 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
305.55284375 |
| transcript.pyannote[93].end |
309.50159375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
308.32034375 |
| transcript.pyannote[94].end |
312.77534375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
309.67034375 |
| transcript.pyannote[95].end |
310.02471875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
313.34909375 |
| transcript.pyannote[96].end |
315.08721875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
315.66096875 |
| transcript.pyannote[97].end |
316.96034375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
317.71971875 |
| transcript.pyannote[98].end |
318.59721875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
319.05284375 |
| transcript.pyannote[99].end |
320.75721875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
321.53346875 |
| transcript.pyannote[100].end |
323.49096875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
324.23346875 |
| transcript.pyannote[101].end |
326.27534375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
326.41034375 |
| transcript.pyannote[102].end |
333.29534375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
333.85221875 |
| transcript.pyannote[103].end |
337.32846875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
337.59846875 |
| transcript.pyannote[104].end |
341.02409375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
341.49659375 |
| transcript.pyannote[105].end |
344.33159375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
345.10784375 |
| transcript.pyannote[106].end |
348.22971875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
348.66846875 |
| transcript.pyannote[107].end |
356.26221875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
351.03096875 |
| transcript.pyannote[108].end |
351.09846875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
351.14909375 |
| transcript.pyannote[109].end |
351.23346875 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
356.65034375 |
| transcript.pyannote[110].end |
356.75159375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
357.20721875 |
| transcript.pyannote[111].end |
359.11409375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
359.31659375 |
| transcript.pyannote[112].end |
361.05471875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
361.54409375 |
| transcript.pyannote[113].end |
368.02409375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
368.14221875 |
| transcript.pyannote[114].end |
370.30221875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
370.70721875 |
| transcript.pyannote[115].end |
373.67721875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
374.58846875 |
| transcript.pyannote[116].end |
376.51221875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
377.00159375 |
| transcript.pyannote[117].end |
380.49471875 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
381.00096875 |
| transcript.pyannote[118].end |
382.19909375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
382.87409375 |
| transcript.pyannote[119].end |
387.04221875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
387.24471875 |
| transcript.pyannote[120].end |
390.43409375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
391.07534375 |
| transcript.pyannote[121].end |
394.77096875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
395.10846875 |
| transcript.pyannote[122].end |
398.44971875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
399.24284375 |
| transcript.pyannote[123].end |
400.91346875 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
401.20034375 |
| transcript.pyannote[124].end |
402.26346875 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
402.92159375 |
| transcript.pyannote[125].end |
405.94221875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
406.36409375 |
| transcript.pyannote[126].end |
414.48096875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
414.86909375 |
| transcript.pyannote[127].end |
416.75909375 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
416.91096875 |
| transcript.pyannote[128].end |
420.65721875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
420.80909375 |
| transcript.pyannote[129].end |
424.16721875 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
425.26409375 |
| transcript.pyannote[130].end |
430.17471875 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
427.17096875 |
| transcript.pyannote[131].end |
427.82909375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
431.08596875 |
| transcript.pyannote[132].end |
432.14909375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
432.55409375 |
| transcript.pyannote[133].end |
432.90846875 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
433.71846875 |
| transcript.pyannote[134].end |
434.20784375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
435.84471875 |
| transcript.pyannote[135].end |
438.08909375 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
439.06784375 |
| transcript.pyannote[136].end |
441.14346875 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
441.24471875 |
| transcript.pyannote[137].end |
442.99971875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
443.77596875 |
| transcript.pyannote[138].end |
445.19346875 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
446.12159375 |
| transcript.pyannote[139].end |
458.71034375 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
458.77784375 |
| transcript.pyannote[140].end |
458.96346875 |
| transcript.pyannote[141].speaker |
SPEAKER_00 |
| transcript.pyannote[141].start |
458.96346875 |
| transcript.pyannote[141].end |
464.29596875 |
| transcript.pyannote[142].speaker |
SPEAKER_01 |
| transcript.pyannote[142].start |
459.48659375 |
| transcript.pyannote[142].end |
460.00971875 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
460.14471875 |
| transcript.pyannote[143].end |
460.85346875 |
| transcript.pyannote[144].speaker |
SPEAKER_01 |
| transcript.pyannote[144].start |
461.24159375 |
| transcript.pyannote[144].end |
464.16096875 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
465.46034375 |
| transcript.pyannote[145].end |
474.33659375 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
474.43784375 |
| transcript.pyannote[146].end |
476.95221875 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
477.76221875 |
| transcript.pyannote[147].end |
478.31909375 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
478.72409375 |
| transcript.pyannote[148].end |
482.77409375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
483.26346875 |
| transcript.pyannote[149].end |
490.26659375 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
491.12721875 |
| transcript.pyannote[150].end |
492.15659375 |
| transcript.pyannote[151].speaker |
SPEAKER_00 |
| transcript.pyannote[151].start |
492.76409375 |
| transcript.pyannote[151].end |
498.95721875 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
493.45596875 |
| transcript.pyannote[152].end |
493.96221875 |
| transcript.pyannote[153].speaker |
SPEAKER_01 |
| transcript.pyannote[153].start |
494.11409375 |
| transcript.pyannote[153].end |
494.63721875 |
| transcript.pyannote[154].speaker |
SPEAKER_00 |
| transcript.pyannote[154].start |
499.49721875 |
| transcript.pyannote[154].end |
500.99909375 |
| transcript.pyannote[155].speaker |
SPEAKER_00 |
| transcript.pyannote[155].start |
501.18471875 |
| transcript.pyannote[155].end |
503.34471875 |
| transcript.pyannote[156].speaker |
SPEAKER_00 |
| transcript.pyannote[156].start |
503.83409375 |
| transcript.pyannote[156].end |
503.96909375 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
504.12096875 |
| transcript.pyannote[157].end |
506.01096875 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
508.35659375 |
| transcript.pyannote[158].end |
508.72784375 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
509.55471875 |
| transcript.pyannote[159].end |
510.14534375 |
| transcript.pyannote[160].speaker |
SPEAKER_00 |
| transcript.pyannote[160].start |
511.29284375 |
| transcript.pyannote[160].end |
512.27159375 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
513.01409375 |
| transcript.pyannote[161].end |
514.68471875 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
516.00096875 |
| transcript.pyannote[162].end |
518.43096875 |
| transcript.pyannote[163].speaker |
SPEAKER_00 |
| transcript.pyannote[163].start |
518.97096875 |
| transcript.pyannote[163].end |
520.87784375 |
| transcript.pyannote[164].speaker |
SPEAKER_00 |
| transcript.pyannote[164].start |
521.63721875 |
| transcript.pyannote[164].end |
526.42971875 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
526.64909375 |
| transcript.pyannote[165].end |
527.34096875 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
527.83034375 |
| transcript.pyannote[166].end |
535.59284375 |
| transcript.pyannote[167].speaker |
SPEAKER_01 |
| transcript.pyannote[167].start |
536.87534375 |
| transcript.pyannote[167].end |
558.76221875 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
539.84534375 |
| transcript.pyannote[168].end |
540.94221875 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
558.91409375 |
| transcript.pyannote[169].end |
561.05721875 |
| transcript.pyannote[170].speaker |
SPEAKER_00 |
| transcript.pyannote[170].start |
561.36096875 |
| transcript.pyannote[170].end |
562.96409375 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
563.45346875 |
| transcript.pyannote[171].end |
566.00159375 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
566.55846875 |
| transcript.pyannote[172].end |
570.22034375 |
| transcript.pyannote[173].speaker |
SPEAKER_00 |
| transcript.pyannote[173].start |
570.65909375 |
| transcript.pyannote[173].end |
576.21096875 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
576.53159375 |
| transcript.pyannote[174].end |
579.31596875 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
579.65346875 |
| transcript.pyannote[175].end |
582.72471875 |
| transcript.pyannote[176].speaker |
SPEAKER_00 |
| transcript.pyannote[176].start |
583.29846875 |
| transcript.pyannote[176].end |
585.17159375 |
| transcript.pyannote[177].speaker |
SPEAKER_00 |
| transcript.pyannote[177].start |
585.64409375 |
| transcript.pyannote[177].end |
588.02346875 |
| transcript.pyannote[178].speaker |
SPEAKER_00 |
| transcript.pyannote[178].start |
588.07409375 |
| transcript.pyannote[178].end |
588.32721875 |
| transcript.pyannote[179].speaker |
SPEAKER_00 |
| transcript.pyannote[179].start |
589.06971875 |
| transcript.pyannote[179].end |
590.85846875 |
| transcript.pyannote[180].speaker |
SPEAKER_01 |
| transcript.pyannote[180].start |
590.85846875 |
| transcript.pyannote[180].end |
590.87534375 |
| transcript.pyannote[181].speaker |
SPEAKER_01 |
| transcript.pyannote[181].start |
591.12846875 |
| transcript.pyannote[181].end |
592.96784375 |
| transcript.pyannote[182].speaker |
SPEAKER_01 |
| transcript.pyannote[182].start |
593.25471875 |
| transcript.pyannote[182].end |
594.77346875 |
| transcript.pyannote[183].speaker |
SPEAKER_00 |
| transcript.pyannote[183].start |
594.77346875 |
| transcript.pyannote[183].end |
594.79034375 |
| transcript.pyannote[184].speaker |
SPEAKER_01 |
| transcript.pyannote[184].start |
594.79034375 |
| transcript.pyannote[184].end |
594.80721875 |
| transcript.pyannote[185].speaker |
SPEAKER_00 |
| transcript.pyannote[185].start |
594.80721875 |
| transcript.pyannote[185].end |
608.25659375 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
608.49284375 |
| transcript.pyannote[186].end |
609.47159375 |
| transcript.pyannote[187].speaker |
SPEAKER_00 |
| transcript.pyannote[187].start |
609.96096875 |
| transcript.pyannote[187].end |
614.07846875 |
| transcript.pyannote[188].speaker |
SPEAKER_01 |
| transcript.pyannote[188].start |
613.65659375 |
| transcript.pyannote[188].end |
614.06159375 |
| transcript.pyannote[189].speaker |
SPEAKER_01 |
| transcript.pyannote[189].start |
614.07846875 |
| transcript.pyannote[189].end |
619.07346875 |
| transcript.pyannote[190].speaker |
SPEAKER_00 |
| transcript.pyannote[190].start |
619.52909375 |
| transcript.pyannote[190].end |
622.31346875 |
| transcript.pyannote[191].speaker |
SPEAKER_00 |
| transcript.pyannote[191].start |
622.54971875 |
| transcript.pyannote[191].end |
625.38471875 |
| transcript.pyannote[192].speaker |
SPEAKER_00 |
| transcript.pyannote[192].start |
625.65471875 |
| transcript.pyannote[192].end |
625.97534375 |
| transcript.pyannote[193].speaker |
SPEAKER_01 |
| transcript.pyannote[193].start |
625.97534375 |
| transcript.pyannote[193].end |
626.66721875 |
| transcript.pyannote[194].speaker |
SPEAKER_00 |
| transcript.pyannote[194].start |
626.66721875 |
| transcript.pyannote[194].end |
627.32534375 |
| transcript.pyannote[195].speaker |
SPEAKER_01 |
| transcript.pyannote[195].start |
626.68409375 |
| transcript.pyannote[195].end |
636.57284375 |
| transcript.pyannote[196].speaker |
SPEAKER_00 |
| transcript.pyannote[196].start |
633.19784375 |
| transcript.pyannote[196].end |
635.27346875 |
| transcript.pyannote[197].speaker |
SPEAKER_00 |
| transcript.pyannote[197].start |
635.67846875 |
| transcript.pyannote[197].end |
642.68159375 |
| transcript.pyannote[198].speaker |
SPEAKER_00 |
| transcript.pyannote[198].start |
643.28909375 |
| transcript.pyannote[198].end |
644.75721875 |
| transcript.pyannote[199].speaker |
SPEAKER_01 |
| transcript.pyannote[199].start |
643.79534375 |
| transcript.pyannote[199].end |
644.35221875 |
| transcript.pyannote[200].speaker |
SPEAKER_00 |
| transcript.pyannote[200].start |
645.12846875 |
| transcript.pyannote[200].end |
647.57534375 |
| transcript.pyannote[201].speaker |
SPEAKER_01 |
| transcript.pyannote[201].start |
647.57534375 |
| transcript.pyannote[201].end |
649.68471875 |
| transcript.pyannote[202].speaker |
SPEAKER_00 |
| transcript.pyannote[202].start |
649.09409375 |
| transcript.pyannote[202].end |
653.38034375 |
| transcript.whisperx[0].start |
0.089 |
| transcript.whisperx[0].end |
4.29 |
| transcript.whisperx[0].text |
有請財政部的莊部長請莊部長委員長部長早我們看到媒體有報導說輝達H200晶片可以銷中國大陸但是中間美國要抽成25%要台灣買單 |
| transcript.whisperx[1].start |
26.856 |
| transcript.whisperx[1].end |
37.344 |
| transcript.whisperx[1].text |
這個要台灣買單啦 這個我們財政部邊預算啦他賣東西給美國 給大陸 結果要被抽百分之二十五佣金 要台灣買單 你怎麼看這個事啊我想對於媒體的報導 覺得還需要大家要進一步的確認不過他已經這樣講了啊 美國政府都這樣川普說這個要抽百分之二十五啊 台灣買單啊 他說進口稅啊 |
| transcript.whisperx[2].start |
53.673 |
| transcript.whisperx[2].end |
82.256 |
| transcript.whisperx[2].text |
我想這個部分還是要進一步的確認所以你不知道 這個事是 我覺得後面是要進一步確認那我現在就是說 我問你就是說如果要台灣政府買單 你接受嗎我想這個什麼叫做台灣政府買單輝達去把晶片賣給大陸那台灣買單是怎麼個買單對啊 莫名其妙啊怎麼會有這樣子我覺得是要進一步了解我覺得這個詳細的內容我們經常是從媒體上看到也許事實如何我們都需要進一步的確認 |
| transcript.whisperx[3].start |
83.136 |
| transcript.whisperx[3].end |
103.62 |
| transcript.whisperx[3].text |
這個等於扒兩層皮喔 奇怪了生意人在做錢 他在賺所以我們來復活 這是莫名其妙 這個東西怎麼會這個樣子我們回到今天的國安基金了國安基金 卵資產可以上來喔我們看到我們歷屆總共八次復盤只有一次 2000年10月2號 |
| transcript.whisperx[4].start |
108.996 |
| transcript.whisperx[4].end |
113.019 |
| transcript.whisperx[4].text |
超過1000例其他都沒有超過1000例沒有一次也沒有然後呢這個是報酬率6.22%到53.21%所以每一次進場都賺錢幾乎都是當然有些媒體把他說你什麼時候有一次虧了不過我們看全部的Lambson他賺錢6.22%到53.多% |
| transcript.whisperx[5].start |
136.52 |
| transcript.whisperx[5].end |
149.844 |
| transcript.whisperx[5].text |
國安基金的成立背景是李前總統李登輝時代他因為接受德國之音的訪問他要炮出一個特殊的兩國論所以他成立這個國安基金怕影響股市全世界幾乎沒有像台灣這樣的國安基金 |
| transcript.whisperx[6].start |
157.045 |
| transcript.whisperx[6].end |
173.798 |
| transcript.whisperx[6].text |
都沒有有那個機制但是幾乎沒有專門因應股市的像香港 中國大陸 日本 韓國 新加坡他們都是用機制啦不是用我們叫成立一個基金專門對付 應付股市的波動 |
| transcript.whisperx[7].start |
176.86 |
| transcript.whisperx[7].end |
188.849 |
| transcript.whisperx[7].text |
這個部長你不覺得我們五千億夠了因為最多就八次裡面只有一次超過一千億其他都是低於一千億你看還有一次2020的3月只有7.6億這個2004的5月只有16億綽綽有餘 |
| transcript.whisperx[8].start |
196.455 |
| transcript.whisperx[8].end |
208.106 |
| transcript.whisperx[8].text |
跟股市的市值90幾億沒有關係啊我們國外基金主要是怕市場失靈市場失靈是要看量沒有教育量這個市場就沒有了 |
| transcript.whisperx[9].start |
213.625 |
| transcript.whisperx[9].end |
227.862 |
| transcript.whisperx[9].text |
無量下跌 這個時候國安基金應該要進場可是 現在來講都沒有這種事情發生啊你要不要回答一下這個 而且今天是委員的提案啦沒有行政院的版本啦 |
| transcript.whisperx[10].start |
229.063 |
| transcript.whisperx[10].end |
238.027 |
| transcript.whisperx[10].text |
其實有什麼立場沒有 你們支不支持嗎要不要增加五千億跟委員報告 國安基金成立的到現在從民國89年到現在已經超過25年了那這樣的一個情況它的市值從我們的報告裡面國安基金委員會的報告裡面寫得非常清楚成長的倍數非常高另外外資的比例也佔的高 |
| transcript.whisperx[11].start |
250.512 |
| transcript.whisperx[11].end |
273.16 |
| transcript.whisperx[11].text |
那在國安基金目前雖然是五千億但是有三千億是四大基金來融資但是四大基金本身他自己也有所投資所以能動用幾乎沒有動用過那因此只有兩千億可以去融資那在實際上在運作上在國安基金的委員會裡面也有委員提出這樣的一個建議認為這個規模事實上應該要更是你沒有回答我的問題 |
| transcript.whisperx[12].start |
274.96 |
| transcript.whisperx[12].end |
294.667 |
| transcript.whisperx[12].text |
過去的八次裡面只有一次超過一千億綽綽有餘啊你現在你要講說我就兩千億可以用但是三千億你一樣可以集中調度啊四大基金你也可以集中調度不是不能調度來 我再告訴你部長啊你要增加五千億是什麼概念你要借錢喔 |
| transcript.whisperx[13].start |
295.911 |
| transcript.whisperx[13].end |
316.097 |
| transcript.whisperx[13].text |
利率多少這個部分是不是實際操作由我們執行秘書來回答秘書請請市長利率多少現在是1.4多5千億乘以1.4多就是77億喔就是我每一年我沒有進場 |
| transcript.whisperx[14].start |
317.937 |
| transcript.whisperx[14].end |
344.029 |
| transcript.whisperx[14].text |
去賺錢我都要多付七十幾億喔這是白花花的影子喔你只是一個心理 老實講這個東西當初的李前總統的時候是怕兩國論引起市場的恐慌那現在呢大家會覺得說你是不是因為賴清德總統丟出來一點澳照特別預算準備兩岸打仗了所以我要加碼五千億 |
| transcript.whisperx[15].start |
345.169 |
| transcript.whisperx[15].end |
372.644 |
| transcript.whisperx[15].text |
只有這個可以解釋 不然我是百思不得其解人云欲雲 大家覺得說 喔 現在市場的規模這麼大九十幾兆 所以我要增加這個不能畫等號了 這個推論沒辦法說服人民啦對不對 我要 我若不進場 我一樣要付七十幾億我加五千億 一年利息就是七十幾億七十幾億的利息 付在這裡每年付 每年付 他如果沒進場 還要付 |
| transcript.whisperx[16].start |
374.825 |
| transcript.whisperx[16].end |
398.387 |
| transcript.whisperx[16].text |
對 你得到什麼 就是心理上你剛剛已經講九十幾兆啦如果真的大崩盤的話一兆也不夠啦一兆也不夠啦 你要怎麼去hold這個股市hold不住啦股市是hold不住的啦對 這個是一個心理的心理藥所以你看喔 國安基金變成一兆的時候 大家不用怕一兩槍 就這樣而已 |
| transcript.whisperx[17].start |
403.25 |
| transcript.whisperx[17].end |
423.055 |
| transcript.whisperx[17].text |
這個今天不要太廢了可是我是非常保留我覺得大家只是人云亦云說因為股市市值這麼多了所以應該把它增加到一兆但是從8次沒有只有一次超過1000億而且每一次都賺錢而且你增加5000億一年就多增加77億 |
| transcript.whisperx[18].start |
426.123 |
| transcript.whisperx[18].end |
436.833 |
| transcript.whisperx[18].text |
論錢我是很保留所以我覺得來部長等一下因為我沒有時間部長你同意不同意部長請部長我覺得要開個公聽會啦 |
| transcript.whisperx[19].start |
439.373 |
| transcript.whisperx[19].end |
462.212 |
| transcript.whisperx[19].text |
讓各界的聲音進來啦你們現在也沒有版本啊要不要開個公聽會 可以嗎我想怎麼樣的一個處理那當然大院有相關的職權那我覺得這個部分國安基金這樣的一個擴大規模在相關的國安基金委員會裡面的委員也都有所開個公聽會啦 讓外界的聲音進來我們來看喔 那個部長 |
| transcript.whisperx[20].start |
465.535 |
| transcript.whisperx[20].end |
469.822 |
| transcript.whisperx[20].text |
行政院對於114版的財務法題負一被否決了財政部的下一步的步驟是什麼 |
| transcript.whisperx[21].start |
477.847 |
| transcript.whisperx[21].end |
485.951 |
| transcript.whisperx[21].text |
你們是115年是按照我們3月12編的這個統籌8814億一般2500億計劃新年308億這個對吧沒有錯就是根據這個編現在等於願版已經卡住了立法願版已經卡住了那就是回到3月12通過的版本最後一個問題我又請 |
| transcript.whisperx[22].start |
508.393 |
| transcript.whisperx[22].end |
535.387 |
| transcript.whisperx[22].text |
部長 你知道嗎 飯宮股持有國票金這個國務署長也在 市長也在已經超過打兩成了這個我們所知道的 現在是譬如說兆豐幾個飯宮股都要自己買我就問 是不是要落實公併私你們準備要掌握國票金的經營權有沒有這樣的意圖 |
| transcript.whisperx[23].start |
536.946 |
| transcript.whisperx[23].end |
550.601 |
| transcript.whisperx[23].text |
有關經營權當然跟實力是有關係的要看你有多少的實力那公股去買這個有買這個國票金那當然是根據他們自己內部的一個財務的一些規劃那後續怎麼樣去處理後面的股權我想這個是後續他們會去做考量的 |
| transcript.whisperx[24].start |
557.268 |
| transcript.whisperx[24].end |
579.029 |
| transcript.whisperx[24].text |
公股是也會去做考量沒有 如果你今天因為其他人這個持股大概不會超過10%換公股就20%當然要拿經營權啊 為什麼不要拿經營權呢你們已經買這麼多了 難道你要20%送給別人嗎送給張三 李四 王五 不通啊這裡面大家就會質疑喔 |
| transcript.whisperx[25].start |
579.77 |
| transcript.whisperx[25].end |
607.609 |
| transcript.whisperx[25].text |
如果你不要拿經營權那就是你這樣的一個投資可能要圖利某一個團體圖利某一個集團變這個樣子喔我們不會圖利我們不會去圖利任何或者幫助他變成變成最大最大股東掌握經營權啊否則現在人家人家媒體就這樣報導我們是根據媒體的報導是你看持股亮澄問拿國票金的經營權結果現在 |
| transcript.whisperx[26].start |
610.031 |
| transcript.whisperx[26].end |
624.531 |
| transcript.whisperx[26].text |
看起來好像不是 你們沒有這個企圖心那就是你們要幫助別人我們當然會按照實例的原則來做處理所以按照實例原則我可不可以解讀說你不排除要去掌握經營權 |
| transcript.whisperx[27].start |
626.893 |
| transcript.whisperx[27].end |
648.827 |
| transcript.whisperx[27].text |
這個部分我覺得因為後續還會有一些什麼樣的變化我知道看看因為在股票市場你既然已經講實力原則我就主張既然實力原則你已經最大股份了你就好好去掌握經營線我覺得我覺得在這種情況之下才能夠得到這個社會的支持了解謝謝委員謝謝賴委員接下來我們請郭國文委員 |