IVOD_ID |
161064 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161064 |
日期 |
2025-05-08 |
會議資料.會議代碼 |
委員會-11-3-20-11 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第11次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
11 |
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3會期財政委員會第11次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-08T10:36:22+08:00 |
結束時間 |
2025-05-08T10:49:09+08:00 |
影片長度 |
00:12:47 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/26c557d936b203c1aa4188deda07f721e0059966c803d0e95f5e885147c9c9bc1a088aa3d2b9e73c5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅明才 |
委員發言時間 |
10:36:22 - 10:49:09 |
會議時間 |
2025-05-08T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第11次全體委員會議(事由:邀請行政院主計總處陳主計長淑姿、財政部莊部長翠雲、中央銀行楊總裁金龍、國家發展委員會劉主任委員鏡清、勞動部洪部長申翰、銓敘部施部長能傑就「我國如果要設立國家主權基金,中央銀行與政府相關基金(如四大基金等)所扮演的角色為何?」進行專題報告,並備質詢。
【5月7日及8日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_04 |
transcript.pyannote[0].start |
5.26221875 |
transcript.pyannote[0].end |
8.43471875 |
transcript.pyannote[1].speaker |
SPEAKER_04 |
transcript.pyannote[1].start |
9.97034375 |
transcript.pyannote[1].end |
10.89846875 |
transcript.pyannote[2].speaker |
SPEAKER_04 |
transcript.pyannote[2].start |
11.80971875 |
transcript.pyannote[2].end |
13.59846875 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
12.95721875 |
transcript.pyannote[3].end |
13.41284375 |
transcript.pyannote[4].speaker |
SPEAKER_03 |
transcript.pyannote[4].start |
13.59846875 |
transcript.pyannote[4].end |
13.78409375 |
transcript.pyannote[5].speaker |
SPEAKER_04 |
transcript.pyannote[5].start |
14.22284375 |
transcript.pyannote[5].end |
16.31534375 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
15.37034375 |
transcript.pyannote[6].end |
16.19721875 |
transcript.pyannote[7].speaker |
SPEAKER_03 |
transcript.pyannote[7].start |
16.31534375 |
transcript.pyannote[7].end |
16.33221875 |
transcript.pyannote[8].speaker |
SPEAKER_04 |
transcript.pyannote[8].start |
16.82159375 |
transcript.pyannote[8].end |
20.82096875 |
transcript.pyannote[9].speaker |
SPEAKER_04 |
transcript.pyannote[9].start |
22.05284375 |
transcript.pyannote[9].end |
23.35221875 |
transcript.pyannote[10].speaker |
SPEAKER_04 |
transcript.pyannote[10].start |
23.87534375 |
transcript.pyannote[10].end |
26.86221875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
27.73971875 |
transcript.pyannote[11].end |
30.01784375 |
transcript.pyannote[12].speaker |
SPEAKER_04 |
transcript.pyannote[12].start |
29.51159375 |
transcript.pyannote[12].end |
30.45659375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
30.65909375 |
transcript.pyannote[13].end |
30.97971875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
31.63784375 |
transcript.pyannote[14].end |
35.45159375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
35.80596875 |
transcript.pyannote[15].end |
40.91909375 |
transcript.pyannote[16].speaker |
SPEAKER_04 |
transcript.pyannote[16].start |
35.97471875 |
transcript.pyannote[16].end |
36.31221875 |
transcript.pyannote[17].speaker |
SPEAKER_04 |
transcript.pyannote[17].start |
37.84784375 |
transcript.pyannote[17].end |
38.77596875 |
transcript.pyannote[18].speaker |
SPEAKER_04 |
transcript.pyannote[18].start |
39.13034375 |
transcript.pyannote[18].end |
40.66596875 |
transcript.pyannote[19].speaker |
SPEAKER_04 |
transcript.pyannote[19].start |
40.90221875 |
transcript.pyannote[19].end |
46.11659375 |
transcript.pyannote[20].speaker |
SPEAKER_04 |
transcript.pyannote[20].start |
46.45409375 |
transcript.pyannote[20].end |
49.59284375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
50.36909375 |
transcript.pyannote[21].end |
63.10971875 |
transcript.pyannote[22].speaker |
SPEAKER_04 |
transcript.pyannote[22].start |
59.85284375 |
transcript.pyannote[22].end |
64.32471875 |
transcript.pyannote[23].speaker |
SPEAKER_04 |
transcript.pyannote[23].start |
64.44284375 |
transcript.pyannote[23].end |
70.31534375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
71.81721875 |
transcript.pyannote[24].end |
76.27221875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
76.45784375 |
transcript.pyannote[25].end |
77.65596875 |
transcript.pyannote[26].speaker |
SPEAKER_04 |
transcript.pyannote[26].start |
78.36471875 |
transcript.pyannote[26].end |
80.47409375 |
transcript.pyannote[27].speaker |
SPEAKER_04 |
transcript.pyannote[27].start |
80.76096875 |
transcript.pyannote[27].end |
81.60471875 |
transcript.pyannote[28].speaker |
SPEAKER_04 |
transcript.pyannote[28].start |
83.24159375 |
transcript.pyannote[28].end |
84.74346875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
84.15284375 |
transcript.pyannote[29].end |
86.59971875 |
transcript.pyannote[30].speaker |
SPEAKER_04 |
transcript.pyannote[30].start |
86.76846875 |
transcript.pyannote[30].end |
89.75534375 |
transcript.pyannote[31].speaker |
SPEAKER_04 |
transcript.pyannote[31].start |
90.07596875 |
transcript.pyannote[31].end |
94.81784375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
96.04971875 |
transcript.pyannote[32].end |
97.70346875 |
transcript.pyannote[33].speaker |
SPEAKER_04 |
transcript.pyannote[33].start |
99.22221875 |
transcript.pyannote[33].end |
102.95159375 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
102.95159375 |
transcript.pyannote[34].end |
103.17096875 |
transcript.pyannote[35].speaker |
SPEAKER_04 |
transcript.pyannote[35].start |
103.17096875 |
transcript.pyannote[35].end |
103.28909375 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
103.28909375 |
transcript.pyannote[36].end |
125.91846875 |
transcript.pyannote[37].speaker |
SPEAKER_04 |
transcript.pyannote[37].start |
111.20346875 |
transcript.pyannote[37].end |
111.67596875 |
transcript.pyannote[38].speaker |
SPEAKER_04 |
transcript.pyannote[38].start |
112.51971875 |
transcript.pyannote[38].end |
112.99221875 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
125.96909375 |
transcript.pyannote[39].end |
177.53909375 |
transcript.pyannote[40].speaker |
SPEAKER_04 |
transcript.pyannote[40].start |
129.37784375 |
transcript.pyannote[40].end |
129.44534375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
129.44534375 |
transcript.pyannote[41].end |
135.04784375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
143.11409375 |
transcript.pyannote[42].end |
143.65409375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
145.52721875 |
transcript.pyannote[43].end |
146.52284375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
151.23096875 |
transcript.pyannote[44].end |
151.61909375 |
transcript.pyannote[45].speaker |
SPEAKER_04 |
transcript.pyannote[45].start |
153.15471875 |
transcript.pyannote[45].end |
156.05721875 |
transcript.pyannote[46].speaker |
SPEAKER_04 |
transcript.pyannote[46].start |
158.63909375 |
transcript.pyannote[46].end |
160.59659375 |
transcript.pyannote[47].speaker |
SPEAKER_04 |
transcript.pyannote[47].start |
169.11846875 |
transcript.pyannote[47].end |
169.92846875 |
transcript.pyannote[48].speaker |
SPEAKER_04 |
transcript.pyannote[48].start |
170.23221875 |
transcript.pyannote[48].end |
170.31659375 |
transcript.pyannote[49].speaker |
SPEAKER_04 |
transcript.pyannote[49].start |
172.35846875 |
transcript.pyannote[49].end |
175.64909375 |
transcript.pyannote[50].speaker |
SPEAKER_04 |
transcript.pyannote[50].start |
177.53909375 |
transcript.pyannote[50].end |
179.64846875 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
177.70784375 |
transcript.pyannote[51].end |
177.91034375 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
177.96096875 |
transcript.pyannote[52].end |
179.59784375 |
transcript.pyannote[53].speaker |
SPEAKER_04 |
transcript.pyannote[53].start |
180.35721875 |
transcript.pyannote[53].end |
181.04909375 |
transcript.pyannote[54].speaker |
SPEAKER_04 |
transcript.pyannote[54].start |
181.18409375 |
transcript.pyannote[54].end |
187.68096875 |
transcript.pyannote[55].speaker |
SPEAKER_04 |
transcript.pyannote[55].start |
188.15346875 |
transcript.pyannote[55].end |
193.03034375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
188.25471875 |
transcript.pyannote[56].end |
188.62596875 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
193.03034375 |
transcript.pyannote[57].end |
218.89971875 |
transcript.pyannote[58].speaker |
SPEAKER_04 |
transcript.pyannote[58].start |
199.61159375 |
transcript.pyannote[58].end |
199.96596875 |
transcript.pyannote[59].speaker |
SPEAKER_04 |
transcript.pyannote[59].start |
200.99534375 |
transcript.pyannote[59].end |
201.63659375 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
219.60846875 |
transcript.pyannote[60].end |
222.61221875 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
223.06784375 |
transcript.pyannote[61].end |
239.28471875 |
transcript.pyannote[62].speaker |
SPEAKER_04 |
transcript.pyannote[62].start |
227.18534375 |
transcript.pyannote[62].end |
227.43846875 |
transcript.pyannote[63].speaker |
SPEAKER_04 |
transcript.pyannote[63].start |
230.52659375 |
transcript.pyannote[63].end |
230.54346875 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
239.75721875 |
transcript.pyannote[64].end |
243.30096875 |
transcript.pyannote[65].speaker |
SPEAKER_04 |
transcript.pyannote[65].start |
239.87534375 |
transcript.pyannote[65].end |
249.73034375 |
transcript.pyannote[66].speaker |
SPEAKER_03 |
transcript.pyannote[66].start |
245.02221875 |
transcript.pyannote[66].end |
245.24159375 |
transcript.pyannote[67].speaker |
SPEAKER_04 |
transcript.pyannote[67].start |
250.11846875 |
transcript.pyannote[67].end |
255.02909375 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
251.60346875 |
transcript.pyannote[68].end |
253.78034375 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
255.02909375 |
transcript.pyannote[69].end |
255.06284375 |
transcript.pyannote[70].speaker |
SPEAKER_04 |
transcript.pyannote[70].start |
255.06284375 |
transcript.pyannote[70].end |
255.53534375 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
255.40034375 |
transcript.pyannote[71].end |
291.85034375 |
transcript.pyannote[72].speaker |
SPEAKER_04 |
transcript.pyannote[72].start |
256.37909375 |
transcript.pyannote[72].end |
259.45034375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
269.64284375 |
transcript.pyannote[73].end |
270.55409375 |
transcript.pyannote[74].speaker |
SPEAKER_04 |
transcript.pyannote[74].start |
276.57846875 |
transcript.pyannote[74].end |
277.64159375 |
transcript.pyannote[75].speaker |
SPEAKER_04 |
transcript.pyannote[75].start |
285.18471875 |
transcript.pyannote[75].end |
285.69096875 |
transcript.pyannote[76].speaker |
SPEAKER_04 |
transcript.pyannote[76].start |
287.15909375 |
transcript.pyannote[76].end |
287.17596875 |
transcript.pyannote[77].speaker |
SPEAKER_04 |
transcript.pyannote[77].start |
289.18409375 |
transcript.pyannote[77].end |
291.02346875 |
transcript.pyannote[78].speaker |
SPEAKER_04 |
transcript.pyannote[78].start |
291.85034375 |
transcript.pyannote[78].end |
297.31784375 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
291.93471875 |
transcript.pyannote[79].end |
292.86284375 |
transcript.pyannote[80].speaker |
SPEAKER_04 |
transcript.pyannote[80].start |
298.21221875 |
transcript.pyannote[80].end |
300.54096875 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
300.54096875 |
transcript.pyannote[81].end |
310.24409375 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
310.73346875 |
transcript.pyannote[82].end |
324.90846875 |
transcript.pyannote[83].speaker |
SPEAKER_04 |
transcript.pyannote[83].start |
323.28846875 |
transcript.pyannote[83].end |
327.05159375 |
transcript.pyannote[84].speaker |
SPEAKER_04 |
transcript.pyannote[84].start |
327.65909375 |
transcript.pyannote[84].end |
329.04284375 |
transcript.pyannote[85].speaker |
SPEAKER_04 |
transcript.pyannote[85].start |
329.48159375 |
transcript.pyannote[85].end |
335.30346875 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
332.19846875 |
transcript.pyannote[86].end |
342.94784375 |
transcript.pyannote[87].speaker |
SPEAKER_04 |
transcript.pyannote[87].start |
336.24846875 |
transcript.pyannote[87].end |
337.83471875 |
transcript.pyannote[88].speaker |
SPEAKER_04 |
transcript.pyannote[88].start |
339.21846875 |
transcript.pyannote[88].end |
339.85971875 |
transcript.pyannote[89].speaker |
SPEAKER_04 |
transcript.pyannote[89].start |
340.95659375 |
transcript.pyannote[89].end |
341.02409375 |
transcript.pyannote[90].speaker |
SPEAKER_04 |
transcript.pyannote[90].start |
341.81721875 |
transcript.pyannote[90].end |
342.45846875 |
transcript.pyannote[91].speaker |
SPEAKER_04 |
transcript.pyannote[91].start |
342.94784375 |
transcript.pyannote[91].end |
370.36971875 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
351.60471875 |
transcript.pyannote[92].end |
352.51596875 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
361.54409375 |
transcript.pyannote[93].end |
361.61159375 |
transcript.pyannote[94].speaker |
SPEAKER_03 |
transcript.pyannote[94].start |
364.05846875 |
transcript.pyannote[94].end |
364.15971875 |
transcript.pyannote[95].speaker |
SPEAKER_04 |
transcript.pyannote[95].start |
371.19659375 |
transcript.pyannote[95].end |
384.37596875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
373.77846875 |
transcript.pyannote[96].end |
373.79534375 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
378.75659375 |
transcript.pyannote[97].end |
379.19534375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
379.19534375 |
transcript.pyannote[98].end |
379.21221875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
382.36784375 |
transcript.pyannote[99].end |
383.17784375 |
transcript.pyannote[100].speaker |
SPEAKER_04 |
transcript.pyannote[100].start |
384.76409375 |
transcript.pyannote[100].end |
386.18159375 |
transcript.pyannote[101].speaker |
SPEAKER_04 |
transcript.pyannote[101].start |
386.53596875 |
transcript.pyannote[101].end |
387.29534375 |
transcript.pyannote[102].speaker |
SPEAKER_04 |
transcript.pyannote[102].start |
387.61596875 |
transcript.pyannote[102].end |
391.91909375 |
transcript.pyannote[103].speaker |
SPEAKER_04 |
transcript.pyannote[103].start |
391.95284375 |
transcript.pyannote[103].end |
391.96971875 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
391.96971875 |
transcript.pyannote[104].end |
392.34096875 |
transcript.pyannote[105].speaker |
SPEAKER_04 |
transcript.pyannote[105].start |
392.57721875 |
transcript.pyannote[105].end |
393.94409375 |
transcript.pyannote[106].speaker |
SPEAKER_03 |
transcript.pyannote[106].start |
393.94409375 |
transcript.pyannote[106].end |
394.11284375 |
transcript.pyannote[107].speaker |
SPEAKER_04 |
transcript.pyannote[107].start |
394.11284375 |
transcript.pyannote[107].end |
394.14659375 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
394.14659375 |
transcript.pyannote[108].end |
394.73721875 |
transcript.pyannote[109].speaker |
SPEAKER_04 |
transcript.pyannote[109].start |
394.48409375 |
transcript.pyannote[109].end |
429.33096875 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
402.90471875 |
transcript.pyannote[110].end |
403.20846875 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
409.46909375 |
transcript.pyannote[111].end |
409.75596875 |
transcript.pyannote[112].speaker |
SPEAKER_04 |
transcript.pyannote[112].start |
429.66846875 |
transcript.pyannote[112].end |
432.55409375 |
transcript.pyannote[113].speaker |
SPEAKER_04 |
transcript.pyannote[113].start |
432.89159375 |
transcript.pyannote[113].end |
433.63409375 |
transcript.pyannote[114].speaker |
SPEAKER_04 |
transcript.pyannote[114].start |
434.34284375 |
transcript.pyannote[114].end |
436.04721875 |
transcript.pyannote[115].speaker |
SPEAKER_04 |
transcript.pyannote[115].start |
436.26659375 |
transcript.pyannote[115].end |
457.10721875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
438.15659375 |
transcript.pyannote[116].end |
440.36721875 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
454.47471875 |
transcript.pyannote[117].end |
454.54221875 |
transcript.pyannote[118].speaker |
SPEAKER_03 |
transcript.pyannote[118].start |
455.20034375 |
transcript.pyannote[118].end |
463.24971875 |
transcript.pyannote[119].speaker |
SPEAKER_04 |
transcript.pyannote[119].start |
458.94659375 |
transcript.pyannote[119].end |
459.60471875 |
transcript.pyannote[120].speaker |
SPEAKER_04 |
transcript.pyannote[120].start |
460.22909375 |
transcript.pyannote[120].end |
473.03721875 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
463.43534375 |
transcript.pyannote[121].end |
463.73909375 |
transcript.pyannote[122].speaker |
SPEAKER_03 |
transcript.pyannote[122].start |
473.03721875 |
transcript.pyannote[122].end |
473.40846875 |
transcript.pyannote[123].speaker |
SPEAKER_04 |
transcript.pyannote[123].start |
473.40846875 |
transcript.pyannote[123].end |
473.56034375 |
transcript.pyannote[124].speaker |
SPEAKER_04 |
transcript.pyannote[124].start |
474.11721875 |
transcript.pyannote[124].end |
474.13409375 |
transcript.pyannote[125].speaker |
SPEAKER_03 |
transcript.pyannote[125].start |
474.13409375 |
transcript.pyannote[125].end |
496.57784375 |
transcript.pyannote[126].speaker |
SPEAKER_04 |
transcript.pyannote[126].start |
478.94346875 |
transcript.pyannote[126].end |
479.75346875 |
transcript.pyannote[127].speaker |
SPEAKER_03 |
transcript.pyannote[127].start |
497.20221875 |
transcript.pyannote[127].end |
514.73534375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
508.06971875 |
transcript.pyannote[128].end |
508.81221875 |
transcript.pyannote[129].speaker |
SPEAKER_04 |
transcript.pyannote[129].start |
512.44034375 |
transcript.pyannote[129].end |
512.94659375 |
transcript.pyannote[130].speaker |
SPEAKER_04 |
transcript.pyannote[130].start |
513.43596875 |
transcript.pyannote[130].end |
519.54471875 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
515.39346875 |
transcript.pyannote[131].end |
516.01784375 |
transcript.pyannote[132].speaker |
SPEAKER_03 |
transcript.pyannote[132].start |
516.03471875 |
transcript.pyannote[132].end |
516.15284375 |
transcript.pyannote[133].speaker |
SPEAKER_03 |
transcript.pyannote[133].start |
518.02596875 |
transcript.pyannote[133].end |
519.49409375 |
transcript.pyannote[134].speaker |
SPEAKER_04 |
transcript.pyannote[134].start |
520.01721875 |
transcript.pyannote[134].end |
548.09721875 |
transcript.pyannote[135].speaker |
SPEAKER_03 |
transcript.pyannote[135].start |
523.03784375 |
transcript.pyannote[135].end |
523.72971875 |
transcript.pyannote[136].speaker |
SPEAKER_03 |
transcript.pyannote[136].start |
524.33721875 |
transcript.pyannote[136].end |
524.38784375 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
524.62409375 |
transcript.pyannote[137].end |
524.89409375 |
transcript.pyannote[138].speaker |
SPEAKER_03 |
transcript.pyannote[138].start |
533.77034375 |
transcript.pyannote[138].end |
543.60846875 |
transcript.pyannote[139].speaker |
SPEAKER_03 |
transcript.pyannote[139].start |
544.43534375 |
transcript.pyannote[139].end |
545.63346875 |
transcript.pyannote[140].speaker |
SPEAKER_03 |
transcript.pyannote[140].start |
547.70909375 |
transcript.pyannote[140].end |
554.30721875 |
transcript.pyannote[141].speaker |
SPEAKER_03 |
transcript.pyannote[141].start |
554.57721875 |
transcript.pyannote[141].end |
562.12034375 |
transcript.pyannote[142].speaker |
SPEAKER_04 |
transcript.pyannote[142].start |
555.85971875 |
transcript.pyannote[142].end |
556.60221875 |
transcript.pyannote[143].speaker |
SPEAKER_04 |
transcript.pyannote[143].start |
557.41221875 |
transcript.pyannote[143].end |
557.96909375 |
transcript.pyannote[144].speaker |
SPEAKER_04 |
transcript.pyannote[144].start |
558.45846875 |
transcript.pyannote[144].end |
559.16721875 |
transcript.pyannote[145].speaker |
SPEAKER_04 |
transcript.pyannote[145].start |
561.29346875 |
transcript.pyannote[145].end |
562.01909375 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
562.17096875 |
transcript.pyannote[146].end |
563.26784375 |
transcript.pyannote[147].speaker |
SPEAKER_03 |
transcript.pyannote[147].start |
563.53784375 |
transcript.pyannote[147].end |
568.51596875 |
transcript.pyannote[148].speaker |
SPEAKER_04 |
transcript.pyannote[148].start |
563.77409375 |
transcript.pyannote[148].end |
565.22534375 |
transcript.pyannote[149].speaker |
SPEAKER_04 |
transcript.pyannote[149].start |
565.91721875 |
transcript.pyannote[149].end |
565.96784375 |
transcript.pyannote[150].speaker |
SPEAKER_04 |
transcript.pyannote[150].start |
568.51596875 |
transcript.pyannote[150].end |
571.84034375 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
572.21159375 |
transcript.pyannote[151].end |
575.01284375 |
transcript.pyannote[152].speaker |
SPEAKER_04 |
transcript.pyannote[152].start |
573.05534375 |
transcript.pyannote[152].end |
577.12221875 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
576.22784375 |
transcript.pyannote[153].end |
577.18971875 |
transcript.pyannote[154].speaker |
SPEAKER_04 |
transcript.pyannote[154].start |
577.18971875 |
transcript.pyannote[154].end |
577.51034375 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
577.51034375 |
transcript.pyannote[155].end |
577.67909375 |
transcript.pyannote[156].speaker |
SPEAKER_04 |
transcript.pyannote[156].start |
577.67909375 |
transcript.pyannote[156].end |
578.01659375 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
578.01659375 |
transcript.pyannote[157].end |
589.59284375 |
transcript.pyannote[158].speaker |
SPEAKER_04 |
transcript.pyannote[158].start |
578.03346875 |
transcript.pyannote[158].end |
580.12596875 |
transcript.pyannote[159].speaker |
SPEAKER_04 |
transcript.pyannote[159].start |
581.64471875 |
transcript.pyannote[159].end |
582.26909375 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
589.82909375 |
transcript.pyannote[160].end |
592.93409375 |
transcript.pyannote[161].speaker |
SPEAKER_04 |
transcript.pyannote[161].start |
592.93409375 |
transcript.pyannote[161].end |
594.16596875 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
595.31346875 |
transcript.pyannote[162].end |
596.41034375 |
transcript.pyannote[163].speaker |
SPEAKER_04 |
transcript.pyannote[163].start |
596.66346875 |
transcript.pyannote[163].end |
597.13596875 |
transcript.pyannote[164].speaker |
SPEAKER_03 |
transcript.pyannote[164].start |
597.13596875 |
transcript.pyannote[164].end |
597.15284375 |
transcript.pyannote[165].speaker |
SPEAKER_04 |
transcript.pyannote[165].start |
597.91221875 |
transcript.pyannote[165].end |
597.92909375 |
transcript.pyannote[166].speaker |
SPEAKER_03 |
transcript.pyannote[166].start |
597.92909375 |
transcript.pyannote[166].end |
598.62096875 |
transcript.pyannote[167].speaker |
SPEAKER_03 |
transcript.pyannote[167].start |
598.77284375 |
transcript.pyannote[167].end |
600.91596875 |
transcript.pyannote[168].speaker |
SPEAKER_03 |
transcript.pyannote[168].start |
601.62471875 |
transcript.pyannote[168].end |
633.85596875 |
transcript.pyannote[169].speaker |
SPEAKER_03 |
transcript.pyannote[169].start |
634.17659375 |
transcript.pyannote[169].end |
638.02409375 |
transcript.pyannote[170].speaker |
SPEAKER_04 |
transcript.pyannote[170].start |
635.34096875 |
transcript.pyannote[170].end |
636.21846875 |
transcript.pyannote[171].speaker |
SPEAKER_03 |
transcript.pyannote[171].start |
638.05784375 |
transcript.pyannote[171].end |
640.62284375 |
transcript.pyannote[172].speaker |
SPEAKER_04 |
transcript.pyannote[172].start |
640.62284375 |
transcript.pyannote[172].end |
641.19659375 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
641.19659375 |
transcript.pyannote[173].end |
641.21346875 |
transcript.pyannote[174].speaker |
SPEAKER_04 |
transcript.pyannote[174].start |
641.21346875 |
transcript.pyannote[174].end |
641.73659375 |
transcript.pyannote[175].speaker |
SPEAKER_03 |
transcript.pyannote[175].start |
641.73659375 |
transcript.pyannote[175].end |
641.88846875 |
transcript.pyannote[176].speaker |
SPEAKER_04 |
transcript.pyannote[176].start |
641.88846875 |
transcript.pyannote[176].end |
641.93909375 |
transcript.pyannote[177].speaker |
SPEAKER_03 |
transcript.pyannote[177].start |
642.12471875 |
transcript.pyannote[177].end |
642.14159375 |
transcript.pyannote[178].speaker |
SPEAKER_04 |
transcript.pyannote[178].start |
642.14159375 |
transcript.pyannote[178].end |
642.15846875 |
transcript.pyannote[179].speaker |
SPEAKER_03 |
transcript.pyannote[179].start |
642.15846875 |
transcript.pyannote[179].end |
642.20909375 |
transcript.pyannote[180].speaker |
SPEAKER_04 |
transcript.pyannote[180].start |
642.20909375 |
transcript.pyannote[180].end |
642.27659375 |
transcript.pyannote[181].speaker |
SPEAKER_03 |
transcript.pyannote[181].start |
642.27659375 |
transcript.pyannote[181].end |
642.95159375 |
transcript.pyannote[182].speaker |
SPEAKER_04 |
transcript.pyannote[182].start |
642.95159375 |
transcript.pyannote[182].end |
642.96846875 |
transcript.pyannote[183].speaker |
SPEAKER_03 |
transcript.pyannote[183].start |
642.96846875 |
transcript.pyannote[183].end |
644.97659375 |
transcript.pyannote[184].speaker |
SPEAKER_04 |
transcript.pyannote[184].start |
642.98534375 |
transcript.pyannote[184].end |
646.54596875 |
transcript.pyannote[185].speaker |
SPEAKER_03 |
transcript.pyannote[185].start |
646.49534375 |
transcript.pyannote[185].end |
647.13659375 |
transcript.pyannote[186].speaker |
SPEAKER_04 |
transcript.pyannote[186].start |
646.98471875 |
transcript.pyannote[186].end |
647.10284375 |
transcript.pyannote[187].speaker |
SPEAKER_04 |
transcript.pyannote[187].start |
647.13659375 |
transcript.pyannote[187].end |
649.48221875 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
647.62596875 |
transcript.pyannote[188].end |
647.89596875 |
transcript.pyannote[189].speaker |
SPEAKER_03 |
transcript.pyannote[189].start |
649.48221875 |
transcript.pyannote[189].end |
663.48846875 |
transcript.pyannote[190].speaker |
SPEAKER_04 |
transcript.pyannote[190].start |
655.48971875 |
transcript.pyannote[190].end |
656.89034375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
658.94909375 |
transcript.pyannote[191].end |
659.03346875 |
transcript.pyannote[192].speaker |
SPEAKER_04 |
transcript.pyannote[192].start |
659.03346875 |
transcript.pyannote[192].end |
659.91096875 |
transcript.pyannote[193].speaker |
SPEAKER_04 |
transcript.pyannote[193].start |
660.83909375 |
transcript.pyannote[193].end |
661.21034375 |
transcript.pyannote[194].speaker |
SPEAKER_04 |
transcript.pyannote[194].start |
661.59846875 |
transcript.pyannote[194].end |
663.42096875 |
transcript.pyannote[195].speaker |
SPEAKER_04 |
transcript.pyannote[195].start |
664.60221875 |
transcript.pyannote[195].end |
679.03034375 |
transcript.pyannote[196].speaker |
SPEAKER_03 |
transcript.pyannote[196].start |
665.91846875 |
transcript.pyannote[196].end |
666.82971875 |
transcript.pyannote[197].speaker |
SPEAKER_03 |
transcript.pyannote[197].start |
667.38659375 |
transcript.pyannote[197].end |
667.85909375 |
transcript.pyannote[198].speaker |
SPEAKER_03 |
transcript.pyannote[198].start |
670.69409375 |
transcript.pyannote[198].end |
670.96409375 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
670.96409375 |
transcript.pyannote[199].end |
671.74034375 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
676.95471875 |
transcript.pyannote[200].end |
677.93346875 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
679.03034375 |
transcript.pyannote[201].end |
688.21034375 |
transcript.pyannote[202].speaker |
SPEAKER_04 |
transcript.pyannote[202].start |
684.90284375 |
transcript.pyannote[202].end |
685.42596875 |
transcript.pyannote[203].speaker |
SPEAKER_04 |
transcript.pyannote[203].start |
686.32034375 |
transcript.pyannote[203].end |
686.52284375 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
688.81784375 |
transcript.pyannote[204].end |
696.31034375 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
696.90096875 |
transcript.pyannote[205].end |
700.51221875 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
701.86221875 |
transcript.pyannote[206].end |
701.89596875 |
transcript.pyannote[207].speaker |
SPEAKER_04 |
transcript.pyannote[207].start |
701.89596875 |
transcript.pyannote[207].end |
704.86596875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
704.86596875 |
transcript.pyannote[208].end |
705.23721875 |
transcript.pyannote[209].speaker |
SPEAKER_04 |
transcript.pyannote[209].start |
705.16971875 |
transcript.pyannote[209].end |
707.26221875 |
transcript.pyannote[210].speaker |
SPEAKER_04 |
transcript.pyannote[210].start |
707.95409375 |
transcript.pyannote[210].end |
708.40971875 |
transcript.pyannote[211].speaker |
SPEAKER_04 |
transcript.pyannote[211].start |
708.91596875 |
transcript.pyannote[211].end |
710.92409375 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
710.92409375 |
transcript.pyannote[212].end |
711.97034375 |
transcript.pyannote[213].speaker |
SPEAKER_04 |
transcript.pyannote[213].start |
711.97034375 |
transcript.pyannote[213].end |
712.03784375 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
712.03784375 |
transcript.pyannote[214].end |
719.02409375 |
transcript.pyannote[215].speaker |
SPEAKER_04 |
transcript.pyannote[215].start |
719.20971875 |
transcript.pyannote[215].end |
724.57596875 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
725.26784375 |
transcript.pyannote[216].end |
726.14534375 |
transcript.pyannote[217].speaker |
SPEAKER_04 |
transcript.pyannote[217].start |
726.92159375 |
transcript.pyannote[217].end |
728.59221875 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
728.01846875 |
transcript.pyannote[218].end |
731.73096875 |
transcript.pyannote[219].speaker |
SPEAKER_04 |
transcript.pyannote[219].start |
730.39784375 |
transcript.pyannote[219].end |
732.03471875 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
732.08534375 |
transcript.pyannote[220].end |
732.60846875 |
transcript.pyannote[221].speaker |
SPEAKER_04 |
transcript.pyannote[221].start |
732.86159375 |
transcript.pyannote[221].end |
733.51971875 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
734.02596875 |
transcript.pyannote[222].end |
735.73034375 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
736.33784375 |
transcript.pyannote[223].end |
737.85659375 |
transcript.pyannote[224].speaker |
SPEAKER_04 |
transcript.pyannote[224].start |
737.97471875 |
transcript.pyannote[224].end |
742.09221875 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
739.57784375 |
transcript.pyannote[225].end |
744.21846875 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
745.11284375 |
transcript.pyannote[226].end |
747.66096875 |
transcript.pyannote[227].speaker |
SPEAKER_04 |
transcript.pyannote[227].start |
748.09971875 |
transcript.pyannote[227].end |
750.81659375 |
transcript.pyannote[228].speaker |
SPEAKER_04 |
transcript.pyannote[228].start |
751.10346875 |
transcript.pyannote[228].end |
755.13659375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
754.98471875 |
transcript.pyannote[229].end |
758.41034375 |
transcript.pyannote[230].speaker |
SPEAKER_04 |
transcript.pyannote[230].start |
757.41471875 |
transcript.pyannote[230].end |
758.27534375 |
transcript.pyannote[231].speaker |
SPEAKER_04 |
transcript.pyannote[231].start |
758.41034375 |
transcript.pyannote[231].end |
758.47784375 |
transcript.pyannote[232].speaker |
SPEAKER_04 |
transcript.pyannote[232].start |
758.62971875 |
transcript.pyannote[232].end |
761.59971875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
761.31284375 |
transcript.pyannote[233].end |
763.64159375 |
transcript.pyannote[234].speaker |
SPEAKER_04 |
transcript.pyannote[234].start |
763.89471875 |
transcript.pyannote[234].end |
765.95346875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
765.27846875 |
transcript.pyannote[235].end |
768.97409375 |
transcript.pyannote[236].speaker |
SPEAKER_03 |
transcript.pyannote[236].start |
765.95346875 |
transcript.pyannote[236].end |
765.97034375 |
transcript.pyannote[237].speaker |
SPEAKER_04 |
transcript.pyannote[237].start |
765.97034375 |
transcript.pyannote[237].end |
768.95721875 |
transcript.whisperx[0].start |
5.276 |
transcript.whisperx[0].end |
6.757 |
transcript.whisperx[0].text |
我們今年的經濟成長率是多少? |
transcript.whisperx[1].start |
27.936 |
transcript.whisperx[1].end |
49.427 |
transcript.whisperx[1].text |
主席好 我們是預估我是委員委員好 今年我們是有預估預估是3.14這是我們一處預估那假設新台幣兌美元匯率跌破澎湃南房線的話那你的經濟成長率大概是抓多少 |
transcript.whisperx[2].start |
50.458 |
transcript.whisperx[2].end |
68.331 |
transcript.whisperx[2].text |
因為我們還會要看整個一個那個就是關稅的一個情形還有其他一些相關的因素在做評估如果就澎湃南的防線突破的話那你覺得對國內的經濟成長的影響情況是如何應該是會有我們這個部分我們預估是會再降低一點的 |
transcript.whisperx[3].start |
78.407 |
transcript.whisperx[3].end |
97.373 |
transcript.whisperx[3].text |
降低一點點,會不會降低0.1還是0.01降0.1%一個百分點百分之0.1,所以你們是有沙盤推演那請問澎淮南防線是新台幣多少對一美元多少,這個部分要 |
transcript.whisperx[4].start |
99.344 |
transcript.whisperx[4].end |
112.954 |
transcript.whisperx[4].text |
你剛剛怎麼會有0.01的那個數字怎麼來的?我再想,當然我不曉得他們怎麼做一個假設,我不曉得他的假設 |
transcript.whisperx[5].start |
116.276 |
transcript.whisperx[5].end |
134.919 |
transcript.whisperx[5].text |
不過我答覆委員你在說彭淮南黃線的時候我會有一個疑問我就說好像從來我們總裁也都從來沒有講過他的黃線是在哪裡的所以那個委員在講說彭淮南黃線的時候我就總覺得怎麼會有這個彭淮南黃線的這個字眼出現那你請幕僚 |
transcript.whisperx[6].start |
144.921 |
transcript.whisperx[6].end |
159.394 |
transcript.whisperx[6].text |
沒有啊中央銀行裡面的我們從來從不談這個沒有就是說而且這個防線你如果說是這樣我再猜可能是那個幕僚財下過去歷史的報章那大概都是市場就是說蓬蓬財的那個什麼防線事實上我跟委員報告 |
transcript.whisperx[7].start |
169.824 |
transcript.whisperx[7].end |
173.046 |
transcript.whisperx[7].text |
韓國的央行總裁李昌雍你熟悉嗎我熟悉啊 |
transcript.whisperx[8].start |
188.334 |
transcript.whisperx[8].end |
203.307 |
transcript.whisperx[8].text |
他為什麼說這一波亞幣的大幅上漲是因為來自美國的壓力啊我這個前幾個委員都問過了你怎麼回答不是我怎麼回答因為他講了這個的時候有很多人確定包括學者有去 |
transcript.whisperx[9].start |
211.414 |
transcript.whisperx[9].end |
230.089 |
transcript.whisperx[9].text |
包括就是說他們去從他的講話裡面去好好的這個是韓國人的去翻譯好好的翻譯說這個報導跟他所說的是根本就是說差距很大所以又是一場誤會我也不敢這麼說因為我不曉得韓語一場誤會就是一場夢啦可是總裁如果說委員要做這樣的一個說法的話我也贊同 |
transcript.whisperx[10].start |
240.227 |
transcript.whisperx[10].end |
253.274 |
transcript.whisperx[10].text |
你覺得這是一場夢那總是要有夢醒時刻夢醒時分就是總裁你在前幾天我看到你大家都那麼熟我覺得你有苦難掩所以我剛剛所以我剛剛我就說一開始的時候我有一個澄清有一個聲明澄清就是說 |
transcript.whisperx[11].start |
267.381 |
transcript.whisperx[11].end |
275.827 |
transcript.whisperx[11].text |
因為我的口才不好所以有些時候講話我講話的時候會結結巴巴他們都把他解釋說我有藍炎之癮對啊 那我就馬上要澄清他確實沒有這回事然後他又說因為有藍炎之癮所以我不善於說謊這個說謊又把他放進來確實沒有這回事沒有這回事總裁如果你沒有藍炎之癮的話 |
transcript.whisperx[12].start |
298.283 |
transcript.whisperx[12].end |
309.842 |
transcript.whisperx[12].text |
看強美元還是看弱美元所以我剛剛就又再回答了我說歷任的財政部長都說要強勢美元 |
transcript.whisperx[13].start |
310.785 |
transcript.whisperx[13].end |
322.857 |
transcript.whisperx[13].text |
那只有一個財政部長就前任的財政部長他稍微改口他認為說匯率是由市場供需來決定沒有所謂的強勢美元缺弱勢美元總裁就聽聽就好了 |
transcript.whisperx[14].start |
327.891 |
transcript.whisperx[14].end |
334.698 |
transcript.whisperx[14].text |
現在你說的也不算,葉門說的也不算,現在全世界只有一個人說的算,川普為了要讓美國偉大,那你覺得美國為了走勢會強勢嗎? |
transcript.whisperx[15].start |
349.814 |
transcript.whisperx[15].end |
352.655 |
transcript.whisperx[15].text |
我跟委員報告啦我的邏輯啦我請教嘛總裁他如果說你是說可能他強勢好那如果美元如果強勢的話那請問美國怎麼樣偉大美國製造的東西他怎麼賣出口啊沒有出口他怎麼製造順差啊 |
transcript.whisperx[16].start |
371.243 |
transcript.whisperx[16].end |
391.594 |
transcript.whisperx[16].text |
所以這是一個很簡單的邏輯那我想請問一下總裁就是說你現在外匯存底是跟2300萬的國民息息相關你保管處理這些資產央行中央銀行法的第二條寫得很清楚有一條是什麼 |
transcript.whisperx[17].start |
392.754 |
transcript.whisperx[17].end |
409.061 |
transcript.whisperx[17].text |
貨幣要維持穩定嘛對那既然要維持穩定你為什麼不在這個幣別裡面在我兩年前三年前我就建議啊總裁你考不考慮買一些比特幣那時候是一個是六千塊美金啊 |
transcript.whisperx[18].start |
409.761 |
transcript.whisperx[18].end |
433.423 |
transcript.whisperx[18].text |
我還曾經多次的建議央行不論是在這邊或在文園我說這個黃金看起來閃閃發光每盎司是一千兩百七十塊的時候我說那可不可以說基建賣幾百個賣五百個因為你們那個台灣銀行有一個什麼楊天立不是承認部的 |
transcript.whisperx[19].start |
434.366 |
transcript.whisperx[19].end |
443.029 |
transcript.whisperx[19].text |
那個黃金網子啊他們都有研究我都請教了所以假設1780塊1270塊每盎司的時候你買進1000億台幣那1000億的話 |
transcript.whisperx[20].start |
454.373 |
transcript.whisperx[20].end |
461.418 |
transcript.whisperx[20].text |
請問總裁,今天的話,你等於是賺了多少錢?是啦,我...我...我...我...我...我...我...我...我...我...我...我...我...我...我...我...我... |
transcript.whisperx[21].start |
474.308 |
transcript.whisperx[21].end |
495.924 |
transcript.whisperx[21].text |
總裁 那個委員 我要答問你兩個問題第一個 你就是說為什麼不買比特幣 不買黃金那我事實上 委員上一次也回答 提問了這個問題那我也就是說 我非常佩服委員的 |
transcript.whisperx[22].start |
497.507 |
transcript.whisperx[22].end |
510.992 |
transcript.whisperx[22].text |
的遠見但是呢我就說從中央銀行的一個manage叫我們外存體的一個準則來看的話那又是另外一回事我記得我有做這樣的一個說明第一個我要謝謝總裁對我的佩服我也接受嘛 |
transcript.whisperx[23].start |
520.055 |
transcript.whisperx[23].end |
534.393 |
transcript.whisperx[23].text |
可是面對外在情懷的變化我要提醒總裁全世界包括日本包括挪威包括很多國家現在美國公債的部分他們全部開始套跑一步一步的解決請問 |
transcript.whisperx[24].start |
539.679 |
transcript.whisperx[24].end |
553.868 |
transcript.whisperx[24].text |
請問總裁你對於央行現在所持有的美國公債你會不會採取減持的動作你現在那個委員你又再講就是說92%的我們都持有公債不對 |
transcript.whisperx[25].start |
554.988 |
transcript.whisperx[25].end |
567.596 |
transcript.whisperx[25].text |
這個副總裁講的不是我講的嗎沒有我們副總裁他在市長在主席的在啊我上一次的時候他已經糾正了有糾正是副總裁講的我們已經澄清了嘛副總裁講92他說80幾這樣減少了啦92現在剩80幾 |
transcript.whisperx[26].start |
572.299 |
transcript.whisperx[26].end |
579.681 |
transcript.whisperx[26].text |
所以我也不必要再重複不過呢我跟委員報告啦至於就是說你說我們也回答啦就是說要調整中央銀行要調整我們都是很靈活的我們現在手上有沒有人民幣我們也有一些幾% |
transcript.whisperx[27].start |
598.175 |
transcript.whisperx[27].end |
622.179 |
transcript.whisperx[27].text |
不高你為什麼不高一點呢因為他的利率現在第一個我要說明的就是說第一個人民幣我們為什麼握有人幣最主要是因為我們台商跟台商他有人民幣的需求他的settlement需要到人民幣所以他的一個流動性我們必須要我們必須要握有這樣的一個流動性這是第一點 |
transcript.whisperx[28].start |
623.019 |
transcript.whisperx[28].end |
641.641 |
transcript.whisperx[28].text |
但是呢我們也不能就說我們隨時我就像你說的啊我們隨時在調整你看看那個人民幣的利率一直掉啊利率一直掉那美國的利率會不會掉目前他還是點幾啊可是下個月呢 |
transcript.whisperx[29].start |
642.622 |
transcript.whisperx[29].end |
655.986 |
transcript.whisperx[29].text |
我不曉得那這樣子總統我跟你賭一碗牛肉麵今年美國的利率一定會往下調這個我想我不必要那個啦我們不用賭啦我來請你一碗牛肉麵我們不用賭那你請我我來請大家啦 |
transcript.whisperx[30].start |
664.649 |
transcript.whisperx[30].end |
686.845 |
transcript.whisperx[30].text |
那個因為時間關係最後就問一下謝謝楊總裁我問一下那個財政部那個阮市長那你每次官基金啟動都是互足有功啊都穩住了那你現在其實目前進場大概多少金額這個包委員這個不方便在這邊說明但是私底下我再那這次應該也會賺錢吧會不會 |
transcript.whisperx[31].start |
688.866 |
transcript.whisperx[31].end |
706.641 |
transcript.whisperx[31].text |
國安基金不是以賺錢為目的啦我想委員很清楚嘛我們最主要是要穩定股市我知道你們這一波又買了很多台積電因為畢竟他的權值比較大好 謝謝 那請國發會那我就要請一下那個高副主委我們手上很多的台積電 |
transcript.whisperx[32].start |
709.162 |
transcript.whisperx[32].end |
723.94 |
transcript.whisperx[32].text |
從兩年前到現在有沒有賣過沒有一張都沒賣是 因為它是我們的護國神山所以不會賣基本上因為是我們的關鍵產業OK 可是我們的護國神山已經變成美積電了 |
transcript.whisperx[33].start |
725.722 |
transcript.whisperx[33].end |
729.263 |
transcript.whisperx[33].text |
不會所以台積電會守住會不會跌我們對台積電有充分的信心 |
transcript.whisperx[34].start |
745.188 |
transcript.whisperx[34].end |
765.621 |
transcript.whisperx[34].text |
我覺得我們國人都應該要有這樣的信息另外一個就是國發基金現在整個加起來總市值是多少兩兆 因為我們的資產有兩兆對去年表現的情況是平均的嗎我們營養有三百多億去年OK 好 謝謝是 謝謝好 謝謝林平強委員的質詢 |