IVOD_ID |
156331 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/156331 |
日期 |
2024-10-30 |
影片種類 |
Clip |
開始時間 |
2024-10-30T12:46:02+08:00 |
結束時間 |
2024-10-30T12:57:09+08:00 |
影片長度 |
00:11:07 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/da0d5cdf8d126ade2767cf86bf6a785467ff13663af3209ef293381db574b3e9ea4ab2856517d8325ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅明才 |
委員發言時間 |
12:46:02 - 12:57:09 |
會議時間 |
2024-10-30T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期財政委員會第5次全體委員會議(事由:一、邀請金融監督管理委員會彭主任委員金隆率所屬機關首長暨中央存款保險股份有限公司、監管相關機構有關之財團法人、臺灣證券交易所股份有限公司、臺灣期貨交易所股份有限公司、臺灣集中保管結算所股份有限公司等董事長、總經理列席業務報告,並備質詢。二、繼續審查「證券交易稅條例」5案:(一) 行政院函請審議「證券交易稅條例第二條之二及第十二條條文修正草案」案。(二) 本院委員羅明才等20人擬具「證券交易稅條例第二條之二條文修正草案」案。(三) 本院委員賴士葆等25人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。(四) 本院委員伍麗華等19人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。(五) 本院委員邱志偉等19人擬具「證券交易稅條例第十二條條文修正草案」案。三、審查「證券交易稅條例」5案:(一) 本院台灣民眾黨黨團擬具「證券交易稅條例部分條文修正草案」。【本案如經院會復議,則不予審查】(二) 本院委員林楚茵等19人擬具「證券交易稅條例第二條之二條文修正草案」案。(三) 本院委員李坤城等22人擬具「證券交易稅條例第二條之二條文修正草案」。【本案如經院會復議,則不予審查】(四) 本院委員賴惠員等37人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。(五) 本院委員蔡易餘等16人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」。【本案如經院會復議,則不予審查】四、審查金融監督管理委員會函送「延長調降當日沖銷交易稅之稅式支出評估報告」及「研商延長調降當沖交易證券交易稅實施期間」公聽會之會議紀錄案。五、討論中華民國114年度中央政府總預算案(含附屬單位預算及綜計表-營業及非營業部分)審查日程暨審查分配表草案。【10/30及10/31,兩天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
4.41846875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
4.87409375 |
transcript.pyannote[1].end |
5.85284375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
7.96221875 |
transcript.pyannote[2].end |
8.53596875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
8.83971875 |
transcript.pyannote[3].end |
9.85221875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
10.40909375 |
transcript.pyannote[4].end |
12.97409375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
13.31159375 |
transcript.pyannote[5].end |
14.81346875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
15.67409375 |
transcript.pyannote[6].end |
21.41159375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
21.85034375 |
transcript.pyannote[7].end |
21.86721875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
21.86721875 |
transcript.pyannote[8].end |
50.09909375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
50.92596875 |
transcript.pyannote[9].end |
52.02284375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
52.37721875 |
transcript.pyannote[10].end |
55.87034375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
55.87034375 |
transcript.pyannote[11].end |
55.92096875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
56.83221875 |
transcript.pyannote[12].end |
56.86596875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
56.86596875 |
transcript.pyannote[13].end |
57.38909375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
57.86159375 |
transcript.pyannote[14].end |
68.98221875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
69.87659375 |
transcript.pyannote[15].end |
73.65659375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
74.02784375 |
transcript.pyannote[16].end |
75.52971875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
76.05284375 |
transcript.pyannote[17].end |
77.55471875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
77.82471875 |
transcript.pyannote[18].end |
79.05659375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
80.47409375 |
transcript.pyannote[19].end |
81.53721875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
81.97596875 |
transcript.pyannote[20].end |
87.61221875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
88.43909375 |
transcript.pyannote[21].end |
88.74284375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
89.40096875 |
transcript.pyannote[22].end |
92.59034375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
94.68284375 |
transcript.pyannote[23].end |
99.96471875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
99.96471875 |
transcript.pyannote[24].end |
101.77034375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
102.00659375 |
transcript.pyannote[25].end |
104.08221875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
104.70659375 |
transcript.pyannote[26].end |
106.02284375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
106.15784375 |
transcript.pyannote[27].end |
106.84971875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
106.95096875 |
transcript.pyannote[28].end |
111.52409375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
112.31721875 |
transcript.pyannote[29].end |
112.33409375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
112.33409375 |
transcript.pyannote[30].end |
112.38471875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
112.38471875 |
transcript.pyannote[31].end |
113.48159375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
113.48159375 |
transcript.pyannote[32].end |
113.61659375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
114.71346875 |
transcript.pyannote[33].end |
121.66596875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
122.10471875 |
transcript.pyannote[34].end |
122.15534375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
122.15534375 |
transcript.pyannote[35].end |
125.98596875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
126.55971875 |
transcript.pyannote[36].end |
127.06596875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
127.31909375 |
transcript.pyannote[37].end |
127.97721875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
128.88846875 |
transcript.pyannote[38].end |
131.35221875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
131.68971875 |
transcript.pyannote[39].end |
136.90409375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
137.10659375 |
transcript.pyannote[40].end |
139.97534375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
139.97534375 |
transcript.pyannote[41].end |
140.07659375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
140.07659375 |
transcript.pyannote[42].end |
140.11034375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
140.86971875 |
transcript.pyannote[43].end |
140.88659375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
140.88659375 |
transcript.pyannote[44].end |
143.45159375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
143.73846875 |
transcript.pyannote[45].end |
144.00846875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
144.81846875 |
transcript.pyannote[46].end |
155.02784375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
155.02784375 |
transcript.pyannote[47].end |
155.11221875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
155.11221875 |
transcript.pyannote[48].end |
155.12909375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
155.51721875 |
transcript.pyannote[49].end |
156.78284375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
156.78284375 |
transcript.pyannote[50].end |
156.83346875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
157.44096875 |
transcript.pyannote[51].end |
164.24159375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
165.03471875 |
transcript.pyannote[52].end |
169.25346875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
167.65034375 |
transcript.pyannote[53].end |
167.66721875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
169.79346875 |
transcript.pyannote[54].end |
171.48096875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
172.51034375 |
transcript.pyannote[55].end |
173.64096875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
175.42971875 |
transcript.pyannote[56].end |
177.79221875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
178.24784375 |
transcript.pyannote[57].end |
181.53846875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
181.92659375 |
transcript.pyannote[58].end |
183.66471875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
182.71971875 |
transcript.pyannote[59].end |
183.68159375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
184.35659375 |
transcript.pyannote[60].end |
185.90909375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
186.75284375 |
transcript.pyannote[61].end |
187.86659375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
189.01409375 |
transcript.pyannote[62].end |
189.53721875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
189.85784375 |
transcript.pyannote[63].end |
190.97159375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
193.97534375 |
transcript.pyannote[64].end |
194.02596875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
194.04284375 |
transcript.pyannote[65].end |
196.05096875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
197.14784375 |
transcript.pyannote[66].end |
203.02034375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
200.94471875 |
transcript.pyannote[67].end |
200.96159375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
200.96159375 |
transcript.pyannote[68].end |
200.97846875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
200.97846875 |
transcript.pyannote[69].end |
201.21471875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
201.21471875 |
transcript.pyannote[70].end |
201.65346875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
204.35346875 |
transcript.pyannote[71].end |
210.85034375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
211.00221875 |
transcript.pyannote[72].end |
211.67721875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
213.02721875 |
transcript.pyannote[73].end |
213.63471875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
214.42784375 |
transcript.pyannote[74].end |
226.32471875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
226.71284375 |
transcript.pyannote[75].end |
232.50096875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
232.63596875 |
transcript.pyannote[76].end |
235.01534375 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
235.45409375 |
transcript.pyannote[77].end |
236.06159375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
236.68596875 |
transcript.pyannote[78].end |
238.99784375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
239.90909375 |
transcript.pyannote[79].end |
242.32221875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
242.32221875 |
transcript.pyannote[80].end |
244.06034375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
244.58346875 |
transcript.pyannote[81].end |
246.10221875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
244.65096875 |
transcript.pyannote[82].end |
245.12346875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
247.77284375 |
transcript.pyannote[83].end |
248.07659375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
248.59971875 |
transcript.pyannote[84].end |
249.32534375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
249.51096875 |
transcript.pyannote[85].end |
251.11409375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
251.77221875 |
transcript.pyannote[86].end |
252.85221875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
254.62409375 |
transcript.pyannote[87].end |
255.78846875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
256.21034375 |
transcript.pyannote[88].end |
256.48034375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
259.53471875 |
transcript.pyannote[89].end |
261.61034375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
261.00284375 |
transcript.pyannote[90].end |
261.37409375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
261.96471875 |
transcript.pyannote[91].end |
265.59284375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
266.20034375 |
transcript.pyannote[92].end |
267.02721875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
267.02721875 |
transcript.pyannote[93].end |
275.78534375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
276.35909375 |
transcript.pyannote[94].end |
278.45159375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
278.90721875 |
transcript.pyannote[95].end |
282.97409375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
282.97409375 |
transcript.pyannote[96].end |
283.26096875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
283.26096875 |
transcript.pyannote[97].end |
283.31159375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
283.64909375 |
transcript.pyannote[98].end |
283.66596875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
283.66596875 |
transcript.pyannote[99].end |
284.61096875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
284.88096875 |
transcript.pyannote[100].end |
286.70346875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
286.97346875 |
transcript.pyannote[101].end |
288.32346875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
289.52159375 |
transcript.pyannote[102].end |
290.24721875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
290.93909375 |
transcript.pyannote[103].end |
295.29284375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
295.63034375 |
transcript.pyannote[104].end |
301.24971875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
302.02596875 |
transcript.pyannote[105].end |
302.51534375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
303.08909375 |
transcript.pyannote[106].end |
304.25346875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
304.87784375 |
transcript.pyannote[107].end |
307.02096875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
307.99971875 |
transcript.pyannote[108].end |
309.53534375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
310.05846875 |
transcript.pyannote[109].end |
311.20596875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
311.49284375 |
transcript.pyannote[110].end |
313.14659375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
313.29846875 |
transcript.pyannote[111].end |
313.63596875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
314.63159375 |
transcript.pyannote[112].end |
317.43284375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
318.10784375 |
transcript.pyannote[113].end |
318.73221875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
318.91784375 |
transcript.pyannote[114].end |
319.86284375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
320.52096875 |
transcript.pyannote[115].end |
325.75221875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
326.42721875 |
transcript.pyannote[116].end |
328.84034375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
329.14409375 |
transcript.pyannote[117].end |
334.94909375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
334.98284375 |
transcript.pyannote[118].end |
335.03346875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
335.11784375 |
transcript.pyannote[119].end |
335.13471875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
335.13471875 |
transcript.pyannote[120].end |
341.20971875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
342.34034375 |
transcript.pyannote[121].end |
345.96846875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
347.23409375 |
transcript.pyannote[122].end |
348.61784375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
348.92159375 |
transcript.pyannote[123].end |
350.76096875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
351.08159375 |
transcript.pyannote[124].end |
353.39346875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
353.49471875 |
transcript.pyannote[125].end |
360.97034375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
361.05471875 |
transcript.pyannote[126].end |
365.61096875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
365.61096875 |
transcript.pyannote[127].end |
365.86409375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
365.91471875 |
transcript.pyannote[128].end |
372.79971875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
372.88409375 |
transcript.pyannote[129].end |
372.90096875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
372.90096875 |
transcript.pyannote[130].end |
377.13659375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
377.13659375 |
transcript.pyannote[131].end |
377.17034375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
377.45721875 |
transcript.pyannote[132].end |
377.50784375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
377.50784375 |
transcript.pyannote[133].end |
377.86221875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
377.86221875 |
transcript.pyannote[134].end |
378.19971875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
378.19971875 |
transcript.pyannote[135].end |
378.40221875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
378.40221875 |
transcript.pyannote[136].end |
379.98846875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
379.98846875 |
transcript.pyannote[137].end |
386.28284375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
386.33346875 |
transcript.pyannote[138].end |
386.43471875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
386.43471875 |
transcript.pyannote[139].end |
392.93159375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
387.49784375 |
transcript.pyannote[140].end |
388.03784375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
394.73721875 |
transcript.pyannote[141].end |
395.63159375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
396.01971875 |
transcript.pyannote[142].end |
396.64409375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
397.25159375 |
transcript.pyannote[143].end |
398.09534375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
399.07409375 |
transcript.pyannote[144].end |
400.77846875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
402.53346875 |
transcript.pyannote[145].end |
403.19159375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
403.66409375 |
transcript.pyannote[146].end |
407.49471875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
407.86596875 |
transcript.pyannote[147].end |
409.95846875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
410.24534375 |
transcript.pyannote[148].end |
415.24034375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
414.53159375 |
transcript.pyannote[149].end |
420.60659375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
421.01159375 |
transcript.pyannote[150].end |
423.76221875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
424.26846875 |
transcript.pyannote[151].end |
425.11221875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
427.20471875 |
transcript.pyannote[152].end |
427.82909375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
427.82909375 |
transcript.pyannote[153].end |
427.86284375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
428.03159375 |
transcript.pyannote[154].end |
428.04846875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
428.04846875 |
transcript.pyannote[155].end |
428.82471875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
430.37721875 |
transcript.pyannote[156].end |
431.00159375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
431.64284375 |
transcript.pyannote[157].end |
431.82846875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
432.33471875 |
transcript.pyannote[158].end |
433.58346875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
437.90346875 |
transcript.pyannote[159].end |
441.41346875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
441.80159375 |
transcript.pyannote[160].end |
442.39221875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
442.91534375 |
transcript.pyannote[161].end |
443.32034375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
443.79284375 |
transcript.pyannote[162].end |
444.58596875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
444.94034375 |
transcript.pyannote[163].end |
447.57284375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
448.07909375 |
transcript.pyannote[164].end |
449.31096875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
457.27596875 |
transcript.pyannote[165].end |
457.74846875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
458.25471875 |
transcript.pyannote[166].end |
458.27159375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
458.27159375 |
transcript.pyannote[167].end |
458.52471875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
458.52471875 |
transcript.pyannote[168].end |
458.57534375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
459.01409375 |
transcript.pyannote[169].end |
461.56221875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
461.74784375 |
transcript.pyannote[170].end |
462.87846875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
463.63784375 |
transcript.pyannote[171].end |
465.46034375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
465.66284375 |
transcript.pyannote[172].end |
467.63721875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
468.61596875 |
transcript.pyannote[173].end |
473.23971875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
473.72909375 |
transcript.pyannote[174].end |
475.70346875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
476.39534375 |
transcript.pyannote[175].end |
477.66096875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
478.04909375 |
transcript.pyannote[176].end |
480.27659375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
481.01909375 |
transcript.pyannote[177].end |
481.72784375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
483.11159375 |
transcript.pyannote[178].end |
484.46159375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
485.10284375 |
transcript.pyannote[179].end |
487.21221875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
487.88721875 |
transcript.pyannote[180].end |
492.98346875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
488.14034375 |
transcript.pyannote[181].end |
489.59159375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
493.11846875 |
transcript.pyannote[182].end |
493.82721875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
493.27034375 |
transcript.pyannote[183].end |
493.97909375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
494.28284375 |
transcript.pyannote[184].end |
494.29971875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
494.29971875 |
transcript.pyannote[185].end |
494.68784375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
495.09284375 |
transcript.pyannote[186].end |
500.69534375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
502.24784375 |
transcript.pyannote[187].end |
503.58096875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
511.24221875 |
transcript.pyannote[188].end |
517.26659375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
519.79784375 |
transcript.pyannote[189].end |
520.48971875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
520.48971875 |
transcript.pyannote[190].end |
520.50659375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
521.21534375 |
transcript.pyannote[191].end |
529.97346875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
529.97346875 |
transcript.pyannote[192].end |
534.42846875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
534.66471875 |
transcript.pyannote[193].end |
536.75721875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
537.26346875 |
transcript.pyannote[194].end |
538.10721875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
538.19159375 |
transcript.pyannote[195].end |
542.64659375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
543.74346875 |
transcript.pyannote[196].end |
545.66721875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
546.84846875 |
transcript.pyannote[197].end |
548.04659375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
548.41784375 |
transcript.pyannote[198].end |
549.43034375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
549.76784375 |
transcript.pyannote[199].end |
552.63659375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
552.63659375 |
transcript.pyannote[200].end |
552.82221875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
552.82221875 |
transcript.pyannote[201].end |
553.02471875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
553.02471875 |
transcript.pyannote[202].end |
559.67346875 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
555.16784375 |
transcript.pyannote[203].end |
555.58971875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
559.21784375 |
transcript.pyannote[204].end |
559.45409375 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
560.01096875 |
transcript.pyannote[205].end |
560.70284375 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
560.06159375 |
transcript.pyannote[206].end |
560.48346875 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
561.51284375 |
transcript.pyannote[207].end |
562.42409375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
563.89221875 |
transcript.pyannote[208].end |
564.04409375 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
564.63471875 |
transcript.pyannote[209].end |
564.97221875 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
564.97221875 |
transcript.pyannote[210].end |
566.28846875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
566.72721875 |
transcript.pyannote[211].end |
567.79034375 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
568.73534375 |
transcript.pyannote[212].end |
569.37659375 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
570.84471875 |
transcript.pyannote[213].end |
577.74659375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
578.50596875 |
transcript.pyannote[214].end |
588.73221875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
578.60721875 |
transcript.pyannote[215].end |
580.19346875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
589.42409375 |
transcript.pyannote[216].end |
589.84596875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
589.84596875 |
transcript.pyannote[217].end |
599.39721875 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
600.49409375 |
transcript.pyannote[218].end |
602.85659375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
603.64971875 |
transcript.pyannote[219].end |
606.11346875 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
607.07534375 |
transcript.pyannote[220].end |
608.61096875 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
609.35346875 |
transcript.pyannote[221].end |
613.65659375 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
613.74096875 |
transcript.pyannote[222].end |
614.21346875 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
614.46659375 |
transcript.pyannote[223].end |
619.27596875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
619.73159375 |
transcript.pyannote[224].end |
622.06034375 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
623.00534375 |
transcript.pyannote[225].end |
625.06409375 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
625.65471875 |
transcript.pyannote[226].end |
626.46471875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
627.02159375 |
transcript.pyannote[227].end |
639.12096875 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
629.62034375 |
transcript.pyannote[228].end |
629.89034375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
640.31909375 |
transcript.pyannote[229].end |
647.96346875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
648.33471875 |
transcript.pyannote[230].end |
651.18659375 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
651.20346875 |
transcript.pyannote[231].end |
653.81909375 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
656.80596875 |
transcript.pyannote[232].end |
658.39221875 |
transcript.pyannote[233].speaker |
SPEAKER_02 |
transcript.pyannote[233].start |
663.79221875 |
transcript.pyannote[233].end |
665.05784375 |
transcript.pyannote[234].speaker |
SPEAKER_02 |
transcript.pyannote[234].start |
665.42909375 |
transcript.pyannote[234].end |
667.18409375 |
transcript.whisperx[0].start |
0.049 |
transcript.whisperx[0].end |
13.395 |
transcript.whisperx[0].text |
主席各位主席各位出列席官員主席請彭主委好彭主委何維文想請教一下是在美國總統選舉 |
transcript.whisperx[1].start |
15.714 |
transcript.whisperx[1].end |
34.941 |
transcript.whisperx[1].text |
如果是川普當選大概對臺灣股市的影響會如何大家當然是預期不同的產業有不同的影響這是大家從他的政見跟他發表言論裡面提出來的當然剛剛早上很多委員關切會不會對我們的半導體業特別對我們的龍頭這個會產生影響 |
transcript.whisperx[2].start |
37.802 |
transcript.whisperx[2].end |
51.369 |
transcript.whisperx[2].text |
所以他這個當然昨天有稍微有些訊息就可能產生一些大家會很關注這個議題那確實我覺得這是一個國際上矚目的事件對臺灣的資本市場一定會有所影響川普當選臺股會不會上漲到3萬點 |
transcript.whisperx[3].start |
57.933 |
transcript.whisperx[3].end |
78.614 |
transcript.whisperx[3].text |
這個包委員我們今晚會沒辦法預期這件事情我們只是在在乎就是說這個我們的資本市場能不能夠穩定安全的進行這個所有的運作跟交易如果延續拜登的一些精神全世界到處戰爭如果是川普當選可能就是直戰 |
transcript.whisperx[4].start |
80.609 |
transcript.whisperx[4].end |
91.735 |
transcript.whisperx[4].text |
會不會有這樣的說法當然媒體有很多種的專家的報導這也是我有看到這樣的一個講法對所以世界和平股市就繼續漲啊 |
transcript.whisperx[5].start |
94.741 |
transcript.whisperx[5].end |
113.258 |
transcript.whisperx[5].text |
那當然是穩定的這個環境當然是股市一個很重要的基礎我們看今天的這個當沖降稅決定要讓他通過吧當然我們是站在這個今晚的立場我們的態度跟整個都表達得非常明確我們是支持的我的提案是五年 |
transcript.whisperx[6].start |
114.775 |
transcript.whisperx[6].end |
143.169 |
transcript.whisperx[6].text |
我們原來的提供給財政部也是5年但是財政部後來他們提的方案是3年我問了幾個委員大家希望還是可以5年如果待會晚一點要處理的時候希望如果是5年大家都支持的話我們就讓他5年通過好不好我們還是支持行政院的決定沒有你要支持立法院的決定 |
transcript.whisperx[7].start |
144.895 |
transcript.whisperx[7].end |
173.015 |
transcript.whisperx[7].text |
如果問金管會立場的話我們雖然提供給這個財政部的意見剛剛跟提到的也跟委員做過說明了但是一定要過因為不過來不及了當然我們希望他能夠通過能夠繼續因為你在剩幾個月年底之前就到了是而且立法院還有二讀還有三讀對那有期間的限制確實速度要快一點主任你們現在 |
transcript.whisperx[8].start |
175.515 |
transcript.whisperx[8].end |
201.492 |
transcript.whisperx[8].text |
其他的單位你們算是最有錢的也沒有是因為我們金管的單位比較是金融業才是你看存款保險公司現在裡面多少錢存保裡面的基金嗎銀業稅的特別準備金是兩千一百剛才局長跟我們講說他這個銀業稅的準備金是兩千一百多億對謝謝 |
transcript.whisperx[9].start |
204.4 |
transcript.whisperx[9].end |
209.191 |
transcript.whisperx[9].text |
報告委員那個存保這邊保管的就是金融業的特別準備金是約2100億左右夠不夠 |
transcript.whisperx[10].start |
215.549 |
transcript.whisperx[10].end |
237.871 |
transcript.whisperx[10].text |
因為這個基本上是在有經營不善金融機構要退場的時候才會需要動用到那以目前現在各個金融機構財務狀況都非常健全的狀況之下暫時應該是不會使用到現在平均預方是多少現在我們的預方是0.16 |
transcript.whisperx[11].start |
240.086 |
transcript.whisperx[11].end |
264.483 |
transcript.whisperx[11].text |
跟歷史上比起來相對的好應該是非常低的水位應該是最低的水位另外證券交易所裡面錢也不少吧臺灣證券交易所現在主委所有相關的單位是兵強馬大 |
transcript.whisperx[12].start |
266.28 |
transcript.whisperx[12].end |
289.915 |
transcript.whisperx[12].text |
最強的時候確實現在金融商業的獲利還有就是我們包括我們的資本市場確實是在過去來講是算是一個非常非常好的一個狀況那現在日均量大概多少錢現在大概日均量加起來應該是將近5000億5000億喔對我們也希望說這個量穩健的發展甚至 |
transcript.whisperx[13].start |
290.987 |
transcript.whisperx[13].end |
316.946 |
transcript.whisperx[13].text |
迎合你未來的亞洲的資產管理中心希望更多的外資等11月5號以後更多外資可以進來因為如果川普當選就比較不會有地緣政治的問題不然我看上一個拜登的延續他就到處世界點火所以我們也是希望看這個局勢 |
transcript.whisperx[14].start |
318.191 |
transcript.whisperx[14].end |
345.204 |
transcript.whisperx[14].text |
如果川普當選他也是鼓勵虛擬貨幣的交易吧是不是他對這個比較持正面的態度好那你們要做出一些規劃如果川普當選的話金管會要大幅度的開放虛擬交易市場我們還是按照我們的步驟按階段的來做這個市場的一些的這個管理剛剛也有報告過我們先從專業投資人開始 |
transcript.whisperx[15].start |
347.264 |
transcript.whisperx[15].end |
371.297 |
transcript.whisperx[15].text |
如果是川普當選你要迎合世界的潮流美國開放當然我們跟著開放啊對,我們剛才提到就是說我們會定期來評估那個實施以後國人在接觸這樣那個產品以後的後果跟反應以及他們的結果如何我們再來決定是否擴大本席希望你現在趕快做一些因應的措施A當選B當選你們要怎麼布局 |
transcript.whisperx[16].start |
372.998 |
transcript.whisperx[16].end |
400.284 |
transcript.whisperx[16].text |
是,我們也都有在這個進行這樣一個情況的演練跟模擬快一點嘛,因為時間馬上就到了是,跟委員報告,剛剛那個有個數字差異修正一下我們現在是日成交均量是4200億左右是,15千億還可以那臺灣證券交易所現在裡面現金很多吧還可以大概多少錢我們的現金是 |
transcript.whisperx[17].start |
402.654 |
transcript.whisperx[17].end |
428.785 |
transcript.whisperx[17].text |
四百億四百多億哇 你看很多錢但這個錢就是要好好利用主委你要讓這個F4裡面不要浪費其實我們交付他們非常多的任務也希望善用這筆他們的這樣的資源來讓金融市場或是整個社會更好齊交所呢齊交所還有集保應該都 |
transcript.whisperx[18].start |
432.648 |
transcript.whisperx[18].end |
449.096 |
transcript.whisperx[18].text |
應該都不少錢吧委員好因為企交所規模比較小大概只有證交所的一半兩百億是也不錯啊都是坐擁百億金三銀三那那個集保勒 |
transcript.whisperx[19].start |
457.318 |
transcript.whisperx[19].end |
481.245 |
transcript.whisperx[19].text |
林董是那集管目前大概380億左右喔要加上900多億欸欸這大概歷史的新高啊對以前喔我在每一屆大概以前都又小又弱做什麼事也都沒錢你們這樣好的時候應該要好好整修一下比如說 |
transcript.whisperx[20].start |
483.794 |
transcript.whisperx[20].end |
503.301 |
transcript.whisperx[20].text |
這個政企局裡面那個沙發已經20年沒換了沙發委員有灌結過所以我有特別去看那個沙發應該不存在啦喔換掉了喔對因為舊的東西該換還要換還有一些資訊軟體等等那OTC呢OTC錢多不多 |
transcript.whisperx[21].start |
511.474 |
transcript.whisperx[21].end |
531.428 |
transcript.whisperx[21].text |
檢董去那邊比較不習慣因為以前101那邊資源多相當小地方啊大概多少錢我們基金累積到現在有100億但是現金比較少我們現金可以動用的大概是6億多60億、100億OK 好 謝謝 |
transcript.whisperx[22].start |
534.793 |
transcript.whisperx[22].end |
562.014 |
transcript.whisperx[22].text |
那加一加都是超過千億的包括那個存保存款保險兩千多億當然還有其他啦我覺得應該是在保發中心錢也比較多吧保發中心其實錢不多啦那是保發基金比較多一點保險安定基金多大概多少安定基金 |
transcript.whisperx[23].start |
565.834 |
transcript.whisperx[23].end |
588.368 |
transcript.whisperx[23].text |
420億左右420億OK那其他加一加所以主委你掌管的其實是中華民國最重要的我想每個部會都很重要只是說因為我們剛好這裡最近他們的經營或是這樣都很努力所以累積一些成果那我們希望能夠善用這些資源 |
transcript.whisperx[24].start |
589.485 |
transcript.whisperx[24].end |
613.365 |
transcript.whisperx[24].text |
就你資源很多,要拜託你一件事情,下一次黃仁勳來臺灣的時候,你拜託他可以到臺灣發TDR好不好?我們請周邊啊,周邊這些都是,蕭永、山正都很強的啊有沒有辦法請,像這個NVIDIA公司回臺灣分拆上市 |
transcript.whisperx[25].start |
614.554 |
transcript.whisperx[25].end |
638.441 |
transcript.whisperx[25].text |
所以我們想這個委員這個提示我們會來研究一下我大力研究因為我在幫你啊因為主委你說你要打造臺灣成亞太的資產管理中心你的能見度要高當然要世界級的黃榮鑫的臺灣人嘛透過他們的關係我知道他們裡面可能有人跟他認識 |
transcript.whisperx[26].start |
640.527 |
transcript.whisperx[26].end |
653.598 |
transcript.whisperx[26].text |
如果沒有認識就算了經濟部長、郭部長說跟他認識應該認識機會都很多我們希望可以讓國際公司回臺灣上市好不好好謝謝謝謝委員謝謝羅民財委員好主席在這裡宣告今日登記花 |