IVOD_ID |
159818 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159818 |
日期 |
2025-03-31 |
會議資料.會議代碼 |
委員會-11-3-20-6 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第6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 |
6 |
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6次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-31T11:13:54+08:00 |
結束時間 |
2025-03-31T11:25:59+08:00 |
影片長度 |
00:12:05 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/22902bedf9a457e5223ba2898bcbdcb281b41d2d230a5ab3c75f6b5b4b5fbf8ccd1a9f1aef5a6a3a5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
李坤城 |
委員發言時間 |
11:13:54 - 11:25:59 |
會議時間 |
2025-03-31T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第6次全體委員會議(事由:邀請金融監督管理委員會彭主任委員金隆、財政部、中央銀行、國家發展委員會及法務部就「如何促進台灣金融市場規模發展之執行策略(包括國際金融業務OBU,國際保險業務OIU,國際證券業務OSU)」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.87034375 |
transcript.pyannote[1].speaker |
SPEAKER_04 |
transcript.pyannote[1].start |
9.27846875 |
transcript.pyannote[1].end |
13.49721875 |
transcript.pyannote[2].speaker |
SPEAKER_04 |
transcript.pyannote[2].start |
13.71659375 |
transcript.pyannote[2].end |
15.31971875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
16.11284375 |
transcript.pyannote[3].end |
17.07471875 |
transcript.pyannote[4].speaker |
SPEAKER_04 |
transcript.pyannote[4].start |
19.28534375 |
transcript.pyannote[4].end |
19.67346875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
19.67346875 |
transcript.pyannote[5].end |
19.69034375 |
transcript.pyannote[6].speaker |
SPEAKER_04 |
transcript.pyannote[6].start |
20.51721875 |
transcript.pyannote[6].end |
21.10784375 |
transcript.pyannote[7].speaker |
SPEAKER_04 |
transcript.pyannote[7].start |
21.88409375 |
transcript.pyannote[7].end |
22.69409375 |
transcript.pyannote[8].speaker |
SPEAKER_04 |
transcript.pyannote[8].start |
23.38596875 |
transcript.pyannote[8].end |
35.36721875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
35.36721875 |
transcript.pyannote[9].end |
35.50221875 |
transcript.pyannote[10].speaker |
SPEAKER_04 |
transcript.pyannote[10].start |
35.50221875 |
transcript.pyannote[10].end |
35.75534375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
35.75534375 |
transcript.pyannote[11].end |
35.92409375 |
transcript.pyannote[12].speaker |
SPEAKER_04 |
transcript.pyannote[12].start |
35.92409375 |
transcript.pyannote[12].end |
38.45534375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
38.70846875 |
transcript.pyannote[13].end |
39.01221875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
39.50159375 |
transcript.pyannote[14].end |
39.70409375 |
transcript.pyannote[15].speaker |
SPEAKER_04 |
transcript.pyannote[15].start |
40.15971875 |
transcript.pyannote[15].end |
41.12159375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
40.75034375 |
transcript.pyannote[16].end |
41.02034375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
41.22284375 |
transcript.pyannote[17].end |
43.19721875 |
transcript.pyannote[18].speaker |
SPEAKER_04 |
transcript.pyannote[18].start |
43.50096875 |
transcript.pyannote[18].end |
46.80846875 |
transcript.pyannote[19].speaker |
SPEAKER_04 |
transcript.pyannote[19].start |
47.41596875 |
transcript.pyannote[19].end |
48.69846875 |
transcript.pyannote[20].speaker |
SPEAKER_04 |
transcript.pyannote[20].start |
49.49159375 |
transcript.pyannote[20].end |
50.14971875 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
50.14971875 |
transcript.pyannote[21].end |
50.48721875 |
transcript.pyannote[22].speaker |
SPEAKER_04 |
transcript.pyannote[22].start |
50.48721875 |
transcript.pyannote[22].end |
50.50409375 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
50.50409375 |
transcript.pyannote[23].end |
52.86659375 |
transcript.pyannote[24].speaker |
SPEAKER_04 |
transcript.pyannote[24].start |
52.86659375 |
transcript.pyannote[24].end |
55.78596875 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
53.89596875 |
transcript.pyannote[25].end |
54.26721875 |
transcript.pyannote[26].speaker |
SPEAKER_05 |
transcript.pyannote[26].start |
54.26721875 |
transcript.pyannote[26].end |
54.31784375 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
54.31784375 |
transcript.pyannote[27].end |
54.58784375 |
transcript.pyannote[28].speaker |
SPEAKER_04 |
transcript.pyannote[28].start |
55.85346875 |
transcript.pyannote[28].end |
56.84909375 |
transcript.pyannote[29].speaker |
SPEAKER_04 |
transcript.pyannote[29].start |
57.22034375 |
transcript.pyannote[29].end |
61.64159375 |
transcript.pyannote[30].speaker |
SPEAKER_04 |
transcript.pyannote[30].start |
61.89471875 |
transcript.pyannote[30].end |
65.28659375 |
transcript.pyannote[31].speaker |
SPEAKER_03 |
transcript.pyannote[31].start |
65.60721875 |
transcript.pyannote[31].end |
87.96659375 |
transcript.pyannote[32].speaker |
SPEAKER_05 |
transcript.pyannote[32].start |
74.65221875 |
transcript.pyannote[32].end |
75.02346875 |
transcript.pyannote[33].speaker |
SPEAKER_05 |
transcript.pyannote[33].start |
76.00221875 |
transcript.pyannote[33].end |
76.05284375 |
transcript.pyannote[34].speaker |
SPEAKER_05 |
transcript.pyannote[34].start |
78.04409375 |
transcript.pyannote[34].end |
78.19596875 |
transcript.pyannote[35].speaker |
SPEAKER_04 |
transcript.pyannote[35].start |
82.73534375 |
transcript.pyannote[35].end |
82.78596875 |
transcript.pyannote[36].speaker |
SPEAKER_04 |
transcript.pyannote[36].start |
87.96659375 |
transcript.pyannote[36].end |
105.83721875 |
transcript.pyannote[37].speaker |
SPEAKER_04 |
transcript.pyannote[37].start |
106.25909375 |
transcript.pyannote[37].end |
108.84096875 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
109.04346875 |
transcript.pyannote[38].end |
126.72846875 |
transcript.pyannote[39].speaker |
SPEAKER_04 |
transcript.pyannote[39].start |
125.80034375 |
transcript.pyannote[39].end |
125.96909375 |
transcript.pyannote[40].speaker |
SPEAKER_04 |
transcript.pyannote[40].start |
127.16721875 |
transcript.pyannote[40].end |
133.78221875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
127.20096875 |
transcript.pyannote[41].end |
127.94346875 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
129.73221875 |
transcript.pyannote[42].end |
129.93471875 |
transcript.pyannote[43].speaker |
SPEAKER_04 |
transcript.pyannote[43].start |
133.79909375 |
transcript.pyannote[43].end |
133.83284375 |
transcript.pyannote[44].speaker |
SPEAKER_03 |
transcript.pyannote[44].start |
133.83284375 |
transcript.pyannote[44].end |
134.50784375 |
transcript.pyannote[45].speaker |
SPEAKER_04 |
transcript.pyannote[45].start |
134.49096875 |
transcript.pyannote[45].end |
144.19409375 |
transcript.pyannote[46].speaker |
SPEAKER_04 |
transcript.pyannote[46].start |
144.44721875 |
transcript.pyannote[46].end |
147.24846875 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
147.75471875 |
transcript.pyannote[47].end |
160.71471875 |
transcript.pyannote[48].speaker |
SPEAKER_04 |
transcript.pyannote[48].start |
150.45471875 |
transcript.pyannote[48].end |
150.48846875 |
transcript.pyannote[49].speaker |
SPEAKER_05 |
transcript.pyannote[49].start |
157.77846875 |
transcript.pyannote[49].end |
159.07784375 |
transcript.pyannote[50].speaker |
SPEAKER_05 |
transcript.pyannote[50].start |
160.71471875 |
transcript.pyannote[50].end |
160.95096875 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
160.95096875 |
transcript.pyannote[51].end |
171.97034375 |
transcript.pyannote[52].speaker |
SPEAKER_05 |
transcript.pyannote[52].start |
160.98471875 |
transcript.pyannote[52].end |
161.06909375 |
transcript.pyannote[53].speaker |
SPEAKER_05 |
transcript.pyannote[53].start |
164.68034375 |
transcript.pyannote[53].end |
164.69721875 |
transcript.pyannote[54].speaker |
SPEAKER_05 |
transcript.pyannote[54].start |
164.91659375 |
transcript.pyannote[54].end |
165.00096875 |
transcript.pyannote[55].speaker |
SPEAKER_04 |
transcript.pyannote[55].start |
168.71346875 |
transcript.pyannote[55].end |
168.89909375 |
transcript.pyannote[56].speaker |
SPEAKER_04 |
transcript.pyannote[56].start |
171.97034375 |
transcript.pyannote[56].end |
177.58971875 |
transcript.pyannote[57].speaker |
SPEAKER_04 |
transcript.pyannote[57].start |
178.04534375 |
transcript.pyannote[57].end |
180.10409375 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
179.10846875 |
transcript.pyannote[58].end |
179.58096875 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
179.63159375 |
transcript.pyannote[59].end |
179.64846875 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
179.66534375 |
transcript.pyannote[60].end |
182.73659375 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
183.05721875 |
transcript.pyannote[61].end |
186.70221875 |
transcript.pyannote[62].speaker |
SPEAKER_04 |
transcript.pyannote[62].start |
186.70221875 |
transcript.pyannote[62].end |
187.41096875 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
186.93846875 |
transcript.pyannote[63].end |
187.44471875 |
transcript.pyannote[64].speaker |
SPEAKER_04 |
transcript.pyannote[64].start |
187.44471875 |
transcript.pyannote[64].end |
189.84096875 |
transcript.pyannote[65].speaker |
SPEAKER_03 |
transcript.pyannote[65].start |
189.80721875 |
transcript.pyannote[65].end |
192.67596875 |
transcript.pyannote[66].speaker |
SPEAKER_04 |
transcript.pyannote[66].start |
191.17409375 |
transcript.pyannote[66].end |
194.76846875 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
194.48159375 |
transcript.pyannote[67].end |
209.26409375 |
transcript.pyannote[68].speaker |
SPEAKER_04 |
transcript.pyannote[68].start |
196.74284375 |
transcript.pyannote[68].end |
197.04659375 |
transcript.pyannote[69].speaker |
SPEAKER_04 |
transcript.pyannote[69].start |
200.62409375 |
transcript.pyannote[69].end |
200.96159375 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
209.58471875 |
transcript.pyannote[70].end |
218.83221875 |
transcript.pyannote[71].speaker |
SPEAKER_04 |
transcript.pyannote[71].start |
218.83221875 |
transcript.pyannote[71].end |
224.04659375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
224.19846875 |
transcript.pyannote[72].end |
230.10471875 |
transcript.pyannote[73].speaker |
SPEAKER_05 |
transcript.pyannote[73].start |
226.61159375 |
transcript.pyannote[73].end |
226.66221875 |
transcript.pyannote[74].speaker |
SPEAKER_04 |
transcript.pyannote[74].start |
230.15534375 |
transcript.pyannote[74].end |
230.17221875 |
transcript.pyannote[75].speaker |
SPEAKER_05 |
transcript.pyannote[75].start |
230.17221875 |
transcript.pyannote[75].end |
230.50971875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
230.44221875 |
transcript.pyannote[76].end |
243.60471875 |
transcript.pyannote[77].speaker |
SPEAKER_05 |
transcript.pyannote[77].start |
234.89721875 |
transcript.pyannote[77].end |
235.20096875 |
transcript.pyannote[78].speaker |
SPEAKER_05 |
transcript.pyannote[78].start |
243.60471875 |
transcript.pyannote[78].end |
243.87471875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
243.87471875 |
transcript.pyannote[79].end |
244.90409375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
245.10659375 |
transcript.pyannote[80].end |
249.59534375 |
transcript.pyannote[81].speaker |
SPEAKER_05 |
transcript.pyannote[81].start |
247.23284375 |
transcript.pyannote[81].end |
247.48596875 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
250.18596875 |
transcript.pyannote[82].end |
256.32846875 |
transcript.pyannote[83].speaker |
SPEAKER_04 |
transcript.pyannote[83].start |
252.66659375 |
transcript.pyannote[83].end |
252.95346875 |
transcript.pyannote[84].speaker |
SPEAKER_04 |
transcript.pyannote[84].start |
255.75471875 |
transcript.pyannote[84].end |
259.99034375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
260.10846875 |
transcript.pyannote[85].end |
261.03659375 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
261.66096875 |
transcript.pyannote[86].end |
262.84221875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
263.33159375 |
transcript.pyannote[87].end |
266.01471875 |
transcript.pyannote[88].speaker |
SPEAKER_04 |
transcript.pyannote[88].start |
265.32284375 |
transcript.pyannote[88].end |
269.82846875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
270.48659375 |
transcript.pyannote[89].end |
270.80721875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
272.12346875 |
transcript.pyannote[90].end |
273.08534375 |
transcript.pyannote[91].speaker |
SPEAKER_04 |
transcript.pyannote[91].start |
273.27096875 |
transcript.pyannote[91].end |
273.65909375 |
transcript.pyannote[92].speaker |
SPEAKER_04 |
transcript.pyannote[92].start |
274.58721875 |
transcript.pyannote[92].end |
276.74721875 |
transcript.pyannote[93].speaker |
SPEAKER_04 |
transcript.pyannote[93].start |
280.40909375 |
transcript.pyannote[93].end |
283.09221875 |
transcript.pyannote[94].speaker |
SPEAKER_03 |
transcript.pyannote[94].start |
283.19346875 |
transcript.pyannote[94].end |
285.01596875 |
transcript.pyannote[95].speaker |
SPEAKER_04 |
transcript.pyannote[95].start |
285.28596875 |
transcript.pyannote[95].end |
285.67409375 |
transcript.pyannote[96].speaker |
SPEAKER_03 |
transcript.pyannote[96].start |
285.67409375 |
transcript.pyannote[96].end |
285.69096875 |
transcript.pyannote[97].speaker |
SPEAKER_04 |
transcript.pyannote[97].start |
285.69096875 |
transcript.pyannote[97].end |
285.70784375 |
transcript.pyannote[98].speaker |
SPEAKER_03 |
transcript.pyannote[98].start |
285.70784375 |
transcript.pyannote[98].end |
286.58534375 |
transcript.pyannote[99].speaker |
SPEAKER_03 |
transcript.pyannote[99].start |
286.90596875 |
transcript.pyannote[99].end |
294.66846875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
287.29409375 |
transcript.pyannote[100].end |
287.34471875 |
transcript.pyannote[101].speaker |
SPEAKER_04 |
transcript.pyannote[101].start |
289.20096875 |
transcript.pyannote[101].end |
289.57221875 |
transcript.pyannote[102].speaker |
SPEAKER_04 |
transcript.pyannote[102].start |
295.96784375 |
transcript.pyannote[102].end |
297.82409375 |
transcript.pyannote[103].speaker |
SPEAKER_04 |
transcript.pyannote[103].start |
298.24596875 |
transcript.pyannote[103].end |
303.20721875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
303.20721875 |
transcript.pyannote[104].end |
305.83971875 |
transcript.pyannote[105].speaker |
SPEAKER_04 |
transcript.pyannote[105].start |
304.06784375 |
transcript.pyannote[105].end |
304.32096875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
306.00846875 |
transcript.pyannote[106].end |
307.61159375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
307.88159375 |
transcript.pyannote[107].end |
309.72096875 |
transcript.pyannote[108].speaker |
SPEAKER_04 |
transcript.pyannote[108].start |
309.99096875 |
transcript.pyannote[108].end |
310.24409375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
310.24409375 |
transcript.pyannote[109].end |
314.85096875 |
transcript.pyannote[110].speaker |
SPEAKER_04 |
transcript.pyannote[110].start |
310.26096875 |
transcript.pyannote[110].end |
310.27784375 |
transcript.pyannote[111].speaker |
SPEAKER_04 |
transcript.pyannote[111].start |
315.88034375 |
transcript.pyannote[111].end |
316.74096875 |
transcript.pyannote[112].speaker |
SPEAKER_04 |
transcript.pyannote[112].start |
316.89284375 |
transcript.pyannote[112].end |
320.85846875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
320.52096875 |
transcript.pyannote[113].end |
322.71471875 |
transcript.pyannote[114].speaker |
SPEAKER_04 |
transcript.pyannote[114].start |
322.76534375 |
transcript.pyannote[114].end |
323.37284375 |
transcript.pyannote[115].speaker |
SPEAKER_04 |
transcript.pyannote[115].start |
323.54159375 |
transcript.pyannote[115].end |
325.02659375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
325.93784375 |
transcript.pyannote[116].end |
332.21534375 |
transcript.pyannote[117].speaker |
SPEAKER_04 |
transcript.pyannote[117].start |
332.21534375 |
transcript.pyannote[117].end |
332.63721875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
332.51909375 |
transcript.pyannote[118].end |
333.56534375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
333.95346875 |
transcript.pyannote[119].end |
336.55221875 |
transcript.pyannote[120].speaker |
SPEAKER_04 |
transcript.pyannote[120].start |
335.13471875 |
transcript.pyannote[120].end |
337.61534375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
337.78409375 |
transcript.pyannote[121].end |
341.81721875 |
transcript.pyannote[122].speaker |
SPEAKER_04 |
transcript.pyannote[122].start |
339.75846875 |
transcript.pyannote[122].end |
340.39971875 |
transcript.pyannote[123].speaker |
SPEAKER_04 |
transcript.pyannote[123].start |
342.12096875 |
transcript.pyannote[123].end |
375.07784375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
375.19596875 |
transcript.pyannote[124].end |
379.85346875 |
transcript.pyannote[125].speaker |
SPEAKER_04 |
transcript.pyannote[125].start |
375.55034375 |
transcript.pyannote[125].end |
375.71909375 |
transcript.pyannote[126].speaker |
SPEAKER_04 |
transcript.pyannote[126].start |
378.01409375 |
transcript.pyannote[126].end |
378.40221875 |
transcript.pyannote[127].speaker |
SPEAKER_04 |
transcript.pyannote[127].start |
378.57096875 |
transcript.pyannote[127].end |
381.89534375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
380.69721875 |
transcript.pyannote[128].end |
388.59471875 |
transcript.pyannote[129].speaker |
SPEAKER_04 |
transcript.pyannote[129].start |
386.31659375 |
transcript.pyannote[129].end |
386.35034375 |
transcript.pyannote[130].speaker |
SPEAKER_05 |
transcript.pyannote[130].start |
386.35034375 |
transcript.pyannote[130].end |
386.65409375 |
transcript.pyannote[131].speaker |
SPEAKER_05 |
transcript.pyannote[131].start |
388.59471875 |
transcript.pyannote[131].end |
388.93221875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
388.93221875 |
transcript.pyannote[132].end |
390.77159375 |
transcript.pyannote[133].speaker |
SPEAKER_05 |
transcript.pyannote[133].start |
390.43409375 |
transcript.pyannote[133].end |
390.68721875 |
transcript.pyannote[134].speaker |
SPEAKER_05 |
transcript.pyannote[134].start |
390.77159375 |
transcript.pyannote[134].end |
390.82221875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
391.36221875 |
transcript.pyannote[135].end |
392.18909375 |
transcript.pyannote[136].speaker |
SPEAKER_04 |
transcript.pyannote[136].start |
392.18909375 |
transcript.pyannote[136].end |
392.25659375 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
392.79659375 |
transcript.pyannote[137].end |
405.16596875 |
transcript.pyannote[138].speaker |
SPEAKER_04 |
transcript.pyannote[138].start |
397.15034375 |
transcript.pyannote[138].end |
397.35284375 |
transcript.pyannote[139].speaker |
SPEAKER_05 |
transcript.pyannote[139].start |
397.35284375 |
transcript.pyannote[139].end |
397.36971875 |
transcript.pyannote[140].speaker |
SPEAKER_04 |
transcript.pyannote[140].start |
397.36971875 |
transcript.pyannote[140].end |
397.47096875 |
transcript.pyannote[141].speaker |
SPEAKER_05 |
transcript.pyannote[141].start |
403.24221875 |
transcript.pyannote[141].end |
403.51221875 |
transcript.pyannote[142].speaker |
SPEAKER_05 |
transcript.pyannote[142].start |
405.16596875 |
transcript.pyannote[142].end |
405.67221875 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
405.63846875 |
transcript.pyannote[143].end |
409.92471875 |
transcript.pyannote[144].speaker |
SPEAKER_04 |
transcript.pyannote[144].start |
405.67221875 |
transcript.pyannote[144].end |
405.70596875 |
transcript.pyannote[145].speaker |
SPEAKER_04 |
transcript.pyannote[145].start |
409.40159375 |
transcript.pyannote[145].end |
409.85721875 |
transcript.pyannote[146].speaker |
SPEAKER_04 |
transcript.pyannote[146].start |
409.92471875 |
transcript.pyannote[146].end |
409.95846875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
409.95846875 |
transcript.pyannote[147].end |
409.97534375 |
transcript.pyannote[148].speaker |
SPEAKER_04 |
transcript.pyannote[148].start |
409.97534375 |
transcript.pyannote[148].end |
427.50846875 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
411.42659375 |
transcript.pyannote[149].end |
412.48971875 |
transcript.pyannote[150].speaker |
SPEAKER_05 |
transcript.pyannote[150].start |
420.89346875 |
transcript.pyannote[150].end |
420.97784375 |
transcript.pyannote[151].speaker |
SPEAKER_05 |
transcript.pyannote[151].start |
427.47471875 |
transcript.pyannote[151].end |
427.74471875 |
transcript.pyannote[152].speaker |
SPEAKER_04 |
transcript.pyannote[152].start |
427.74471875 |
transcript.pyannote[152].end |
431.25471875 |
transcript.pyannote[153].speaker |
SPEAKER_04 |
transcript.pyannote[153].start |
431.67659375 |
transcript.pyannote[153].end |
441.37971875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
441.85221875 |
transcript.pyannote[154].end |
445.95284375 |
transcript.pyannote[155].speaker |
SPEAKER_04 |
transcript.pyannote[155].start |
445.34534375 |
transcript.pyannote[155].end |
445.76721875 |
transcript.pyannote[156].speaker |
SPEAKER_04 |
transcript.pyannote[156].start |
445.95284375 |
transcript.pyannote[156].end |
453.20909375 |
transcript.pyannote[157].speaker |
SPEAKER_04 |
transcript.pyannote[157].start |
453.58034375 |
transcript.pyannote[157].end |
459.60471875 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
459.77346875 |
transcript.pyannote[158].end |
466.91159375 |
transcript.pyannote[159].speaker |
SPEAKER_04 |
transcript.pyannote[159].start |
467.06346875 |
transcript.pyannote[159].end |
468.64971875 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
467.43471875 |
transcript.pyannote[160].end |
468.34596875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
468.61596875 |
transcript.pyannote[161].end |
483.38159375 |
transcript.pyannote[162].speaker |
SPEAKER_05 |
transcript.pyannote[162].start |
468.64971875 |
transcript.pyannote[162].end |
468.66659375 |
transcript.pyannote[163].speaker |
SPEAKER_05 |
transcript.pyannote[163].start |
476.86784375 |
transcript.pyannote[163].end |
477.07034375 |
transcript.pyannote[164].speaker |
SPEAKER_05 |
transcript.pyannote[164].start |
481.59284375 |
transcript.pyannote[164].end |
481.89659375 |
transcript.pyannote[165].speaker |
SPEAKER_05 |
transcript.pyannote[165].start |
483.38159375 |
transcript.pyannote[165].end |
483.68534375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
483.68534375 |
transcript.pyannote[166].end |
496.17284375 |
transcript.pyannote[167].speaker |
SPEAKER_04 |
transcript.pyannote[167].start |
496.27409375 |
transcript.pyannote[167].end |
496.79721875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
496.79721875 |
transcript.pyannote[168].end |
496.96596875 |
transcript.pyannote[169].speaker |
SPEAKER_04 |
transcript.pyannote[169].start |
496.96596875 |
transcript.pyannote[169].end |
502.21409375 |
transcript.pyannote[170].speaker |
SPEAKER_04 |
transcript.pyannote[170].start |
502.66971875 |
transcript.pyannote[170].end |
506.46659375 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
507.10784375 |
transcript.pyannote[171].end |
510.63471875 |
transcript.pyannote[172].speaker |
SPEAKER_05 |
transcript.pyannote[172].start |
510.63471875 |
transcript.pyannote[172].end |
510.70221875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
510.70221875 |
transcript.pyannote[173].end |
514.61721875 |
transcript.pyannote[174].speaker |
SPEAKER_05 |
transcript.pyannote[174].start |
514.61721875 |
transcript.pyannote[174].end |
514.92096875 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
514.92096875 |
transcript.pyannote[175].end |
518.90346875 |
transcript.pyannote[176].speaker |
SPEAKER_05 |
transcript.pyannote[176].start |
518.90346875 |
transcript.pyannote[176].end |
519.19034375 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
519.19034375 |
transcript.pyannote[177].end |
522.61596875 |
transcript.pyannote[178].speaker |
SPEAKER_05 |
transcript.pyannote[178].start |
522.61596875 |
transcript.pyannote[178].end |
522.73409375 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
522.73409375 |
transcript.pyannote[179].end |
525.75471875 |
transcript.pyannote[180].speaker |
SPEAKER_05 |
transcript.pyannote[180].start |
525.75471875 |
transcript.pyannote[180].end |
526.00784375 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
526.00784375 |
transcript.pyannote[181].end |
534.34409375 |
transcript.pyannote[182].speaker |
SPEAKER_05 |
transcript.pyannote[182].start |
534.34409375 |
transcript.pyannote[182].end |
534.59721875 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
534.54659375 |
transcript.pyannote[183].end |
537.85409375 |
transcript.pyannote[184].speaker |
SPEAKER_05 |
transcript.pyannote[184].start |
537.85409375 |
transcript.pyannote[184].end |
538.10721875 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
538.10721875 |
transcript.pyannote[185].end |
544.94159375 |
transcript.pyannote[186].speaker |
SPEAKER_05 |
transcript.pyannote[186].start |
544.94159375 |
transcript.pyannote[186].end |
545.21159375 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
545.16096875 |
transcript.pyannote[187].end |
550.99971875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
551.21909375 |
transcript.pyannote[188].end |
556.97346875 |
transcript.pyannote[189].speaker |
SPEAKER_04 |
transcript.pyannote[189].start |
556.97346875 |
transcript.pyannote[189].end |
560.34846875 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
558.34034375 |
transcript.pyannote[190].end |
559.42034375 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
560.34846875 |
transcript.pyannote[191].end |
566.79471875 |
transcript.pyannote[192].speaker |
SPEAKER_04 |
transcript.pyannote[192].start |
567.01409375 |
transcript.pyannote[192].end |
572.88659375 |
transcript.pyannote[193].speaker |
SPEAKER_04 |
transcript.pyannote[193].start |
573.79784375 |
transcript.pyannote[193].end |
577.32471875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
575.13096875 |
transcript.pyannote[194].end |
576.32909375 |
transcript.pyannote[195].speaker |
SPEAKER_04 |
transcript.pyannote[195].start |
577.54409375 |
transcript.pyannote[195].end |
577.56096875 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
577.56096875 |
transcript.pyannote[196].end |
577.57784375 |
transcript.pyannote[197].speaker |
SPEAKER_04 |
transcript.pyannote[197].start |
577.57784375 |
transcript.pyannote[197].end |
577.59471875 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
577.59471875 |
transcript.pyannote[198].end |
577.83096875 |
transcript.pyannote[199].speaker |
SPEAKER_04 |
transcript.pyannote[199].start |
577.83096875 |
transcript.pyannote[199].end |
577.91534375 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
578.01659375 |
transcript.pyannote[200].end |
578.26971875 |
transcript.pyannote[201].speaker |
SPEAKER_04 |
transcript.pyannote[201].start |
578.26971875 |
transcript.pyannote[201].end |
578.30346875 |
transcript.pyannote[202].speaker |
SPEAKER_04 |
transcript.pyannote[202].start |
578.59034375 |
transcript.pyannote[202].end |
579.06284375 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
579.06284375 |
transcript.pyannote[203].end |
583.51784375 |
transcript.pyannote[204].speaker |
SPEAKER_04 |
transcript.pyannote[204].start |
579.09659375 |
transcript.pyannote[204].end |
579.14721875 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
584.07471875 |
transcript.pyannote[205].end |
584.96909375 |
transcript.pyannote[206].speaker |
SPEAKER_04 |
transcript.pyannote[206].start |
584.96909375 |
transcript.pyannote[206].end |
585.64409375 |
transcript.pyannote[207].speaker |
SPEAKER_04 |
transcript.pyannote[207].start |
585.86346875 |
transcript.pyannote[207].end |
585.93096875 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
585.93096875 |
transcript.pyannote[208].end |
586.74096875 |
transcript.pyannote[209].speaker |
SPEAKER_04 |
transcript.pyannote[209].start |
586.74096875 |
transcript.pyannote[209].end |
586.80846875 |
transcript.pyannote[210].speaker |
SPEAKER_04 |
transcript.pyannote[210].start |
586.89284375 |
transcript.pyannote[210].end |
593.00159375 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
589.42409375 |
transcript.pyannote[211].end |
590.36909375 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
593.30534375 |
transcript.pyannote[212].end |
599.97096875 |
transcript.pyannote[213].speaker |
SPEAKER_04 |
transcript.pyannote[213].start |
599.97096875 |
transcript.pyannote[213].end |
601.67534375 |
transcript.pyannote[214].speaker |
SPEAKER_04 |
transcript.pyannote[214].start |
601.97909375 |
transcript.pyannote[214].end |
608.32409375 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
608.32409375 |
transcript.pyannote[215].end |
612.01971875 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
612.50909375 |
transcript.pyannote[216].end |
616.87971875 |
transcript.pyannote[217].speaker |
SPEAKER_04 |
transcript.pyannote[217].start |
616.06971875 |
transcript.pyannote[217].end |
616.08659375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
616.08659375 |
transcript.pyannote[218].end |
616.50846875 |
transcript.pyannote[219].speaker |
SPEAKER_04 |
transcript.pyannote[219].start |
616.50846875 |
transcript.pyannote[219].end |
616.57596875 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
620.33909375 |
transcript.pyannote[220].end |
626.58284375 |
transcript.pyannote[221].speaker |
SPEAKER_04 |
transcript.pyannote[221].start |
627.15659375 |
transcript.pyannote[221].end |
637.48409375 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
637.99034375 |
transcript.pyannote[222].end |
640.65659375 |
transcript.pyannote[223].speaker |
SPEAKER_04 |
transcript.pyannote[223].start |
638.05784375 |
transcript.pyannote[223].end |
639.40784375 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
640.69034375 |
transcript.pyannote[224].end |
641.02784375 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
641.16284375 |
transcript.pyannote[225].end |
644.60534375 |
transcript.pyannote[226].speaker |
SPEAKER_04 |
transcript.pyannote[226].start |
644.33534375 |
transcript.pyannote[226].end |
644.57159375 |
transcript.pyannote[227].speaker |
SPEAKER_04 |
transcript.pyannote[227].start |
644.60534375 |
transcript.pyannote[227].end |
644.67284375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
644.67284375 |
transcript.pyannote[228].end |
644.77409375 |
transcript.pyannote[229].speaker |
SPEAKER_04 |
transcript.pyannote[229].start |
644.77409375 |
transcript.pyannote[229].end |
645.53346875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
645.53346875 |
transcript.pyannote[230].end |
645.78659375 |
transcript.pyannote[231].speaker |
SPEAKER_04 |
transcript.pyannote[231].start |
645.78659375 |
transcript.pyannote[231].end |
645.88784375 |
transcript.pyannote[232].speaker |
SPEAKER_04 |
transcript.pyannote[232].start |
646.19159375 |
transcript.pyannote[232].end |
646.51221875 |
transcript.pyannote[233].speaker |
SPEAKER_04 |
transcript.pyannote[233].start |
646.52909375 |
transcript.pyannote[233].end |
646.54596875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
646.59659375 |
transcript.pyannote[234].end |
646.91721875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
646.95096875 |
transcript.pyannote[235].end |
649.63409375 |
transcript.pyannote[236].speaker |
SPEAKER_04 |
transcript.pyannote[236].start |
650.02221875 |
transcript.pyannote[236].end |
652.06409375 |
transcript.pyannote[237].speaker |
SPEAKER_04 |
transcript.pyannote[237].start |
652.53659375 |
transcript.pyannote[237].end |
655.97909375 |
transcript.pyannote[238].speaker |
SPEAKER_04 |
transcript.pyannote[238].start |
656.67096875 |
transcript.pyannote[238].end |
660.43409375 |
transcript.pyannote[239].speaker |
SPEAKER_04 |
transcript.pyannote[239].start |
661.00784375 |
transcript.pyannote[239].end |
678.23721875 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
674.30534375 |
transcript.pyannote[240].end |
674.38971875 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
678.49034375 |
transcript.pyannote[241].end |
690.85971875 |
transcript.pyannote[242].speaker |
SPEAKER_04 |
transcript.pyannote[242].start |
682.11846875 |
transcript.pyannote[242].end |
682.32096875 |
transcript.pyannote[243].speaker |
SPEAKER_04 |
transcript.pyannote[243].start |
690.85971875 |
transcript.pyannote[243].end |
695.34846875 |
transcript.pyannote[244].speaker |
SPEAKER_02 |
transcript.pyannote[244].start |
695.41596875 |
transcript.pyannote[244].end |
719.20971875 |
transcript.pyannote[245].speaker |
SPEAKER_04 |
transcript.pyannote[245].start |
696.74909375 |
transcript.pyannote[245].end |
698.35221875 |
transcript.pyannote[246].speaker |
SPEAKER_04 |
transcript.pyannote[246].start |
700.20846875 |
transcript.pyannote[246].end |
700.57971875 |
transcript.pyannote[247].speaker |
SPEAKER_02 |
transcript.pyannote[247].start |
719.36159375 |
transcript.pyannote[247].end |
723.19221875 |
transcript.pyannote[248].speaker |
SPEAKER_02 |
transcript.pyannote[248].start |
723.58034375 |
transcript.pyannote[248].end |
723.59721875 |
transcript.pyannote[249].speaker |
SPEAKER_04 |
transcript.pyannote[249].start |
723.59721875 |
transcript.pyannote[249].end |
723.69846875 |
transcript.pyannote[250].speaker |
SPEAKER_02 |
transcript.pyannote[250].start |
723.69846875 |
transcript.pyannote[250].end |
723.73221875 |
transcript.pyannote[251].speaker |
SPEAKER_04 |
transcript.pyannote[251].start |
723.73221875 |
transcript.pyannote[251].end |
723.74909375 |
transcript.pyannote[252].speaker |
SPEAKER_02 |
transcript.pyannote[252].start |
723.74909375 |
transcript.pyannote[252].end |
723.76596875 |
transcript.pyannote[253].speaker |
SPEAKER_04 |
transcript.pyannote[253].start |
723.76596875 |
transcript.pyannote[253].end |
723.78284375 |
transcript.pyannote[254].speaker |
SPEAKER_02 |
transcript.pyannote[254].start |
723.78284375 |
transcript.pyannote[254].end |
725.87534375 |
transcript.pyannote[255].speaker |
SPEAKER_04 |
transcript.pyannote[255].start |
723.86721875 |
transcript.pyannote[255].end |
725.97659375 |
transcript.whisperx[0].start |
0.103 |
transcript.whisperx[0].end |
1.544 |
transcript.whisperx[0].text |
謝謝主席我們請彭主委還有財政部阮次長還有阮次長委員好主委好 |
transcript.whisperx[1].start |
23.43 |
transcript.whisperx[1].end |
46.229 |
transcript.whisperx[1].text |
昨天 根據報宅 昨天晚上賴總統在官邸有召開一個因應這一個美國的關稅戰有在官邸召開會議 那這個主委有參加嗎報告委員沒有所以這件事情跟你比較沒有關係跟你沒有關係喔跟我們有關係 但是我沒有參與這個會議跟你應該有關係 但是你沒有參與這個會議那財政部有參加嗎 |
transcript.whisperx[2].start |
49.82 |
transcript.whisperx[2].end |
64.942 |
transcript.whisperx[2].text |
我自己本人沒有參加 但是可能莊部長他有參加那你知道這個大概昨天因為總統顯見對這件事情很關心嘛才會特別召開一個會議那關於財政部這方面的話總統有特別提到什麼嗎 |
transcript.whisperx[3].start |
66.063 |
transcript.whisperx[3].end |
76.052 |
transcript.whisperx[3].text |
因為我來這邊質詢部長沒有跟我提這個事情但是就我了解他應該就是就我們財政部來講我們會盤點各相關產品的關稅的稅率因為美國因為有對等關稅的問題所以我們會盤點 |
transcript.whisperx[4].start |
82.797 |
transcript.whisperx[4].end |
102.628 |
transcript.whisperx[4].text |
第二個我們應該會就相關的可能因應措施進行討論因為就在這禮拜啦如果按照報宅是4月2號那我就請教一下這個主委好了那請問一下這個台股那今天跌了700多點那從這個3月底的大概23000點到現在跌了將近3000點那您認為說這個跟這個關稅即將要課徵這個對等關稅有沒有相關的關係 |
transcript.whisperx[5].start |
109.11 |
transcript.whisperx[5].end |
125.981 |
transcript.whisperx[5].text |
我想從今年年初以來其實國際上特別是美國的政策有很多的這個不確定性的出現關稅是其中一個我想今天對台灣的股市這當然是一個影響因子因為它就直接影響到國際的股市了應該是一個 |
transcript.whisperx[6].start |
127.522 |
transcript.whisperx[6].end |
146.716 |
transcript.whisperx[6].text |
因為已經跌了快三千點那我要請教一下市長這國安基金跟財政部有相關嘛對不對是那這個有沒有提到說這個國安基金如果在因為這一個關稅假如說啦不曉得有沒有在這個沙盤推論裡面如果台灣被列入這一個骯髒事務國的話有沒有提到就是說那國安基金是否有可能會進場 |
transcript.whisperx[7].start |
148.818 |
transcript.whisperx[7].end |
177.337 |
transcript.whisperx[7].text |
這個還要看還要觀察因為到目前都還是還沒確定因為美國他有宣布說4月2號才會對外公布所以目前都還是不確定那確定以後到底對台灣影響怎麼樣我們會盤點那麼對股市的影響怎麼樣我們也會去充分的去了解然後到時候必要的話我們會召開就這個您的觀點來講的話對於台灣來講是正面影響比較大還是負面影響比較大 |
transcript.whisperx[8].start |
178.179 |
transcript.whisperx[8].end |
181.735 |
transcript.whisperx[8].text |
是哪一部分的關稅的部分啊就關稅這部分目前看起來這個 |
transcript.whisperx[9].start |
183.16 |
transcript.whisperx[9].end |
208.528 |
transcript.whisperx[9].text |
就看美國政策 因為這個部分我們真的沒辦法掌握啦但總是有沙盤推演嘛 正面的跟負面的啊對 但一定會有嘛 一定會有所以我問你說負面比較多還是正面比較多啊這個我不方便 因為這個我不是主管機關我不方便在這邊說但是就我個人來講我是覺得就是說在台積電答應到美國做大額的投資之後那麼未來 |
transcript.whisperx[10].start |
209.668 |
transcript.whisperx[10].end |
229.795 |
transcript.whisperx[10].text |
未來在這個被加徵就是電子產品被加徵關稅的這個機會應該相對來講比較低一點那請教一下彭主委那對於這個我們這個上市櫃公司有沒有受到影響我們有做過盤點跟調查像比如有關關稅議題我們有請我們的兩個交易所 |
transcript.whisperx[11].start |
230.875 |
transcript.whisperx[11].end |
259.233 |
transcript.whisperx[11].text |
針對我們的上市櫃公司我想上次幾天前的質詢也有說過當然是當然有少數的公司確實會在受到關稅的影響比較大他們有做過一些問卷的調查但是如果整體來看的話就不考慮消息面的心理的影響的話會影響的幅度確實是沒有我們想像那麼大這是我們透過交易所了解上市櫃公司的狀況你有沒有想到說大概有多少公司有可能會受到關稅的影響 |
transcript.whisperx[12].start |
260.214 |
transcript.whisperx[12].end |
273.14 |
transcript.whisperx[12].text |
上次有說明嘛或是說我們可以請我們交易所這邊來跟委員那還是請這個 那時間先暫停一下是不是請林董事長這邊來做個說明好 說明董事長林董事長是那個 李總經理 來 |
transcript.whisperx[13].start |
281.322 |
transcript.whisperx[13].end |
282.542 |
transcript.whisperx[13].text |
總經理要做個說明經濟部那30項的台灣出口區的大概2.多% |
transcript.whisperx[14].start |
296.404 |
transcript.whisperx[14].end |
324.842 |
transcript.whisperx[14].text |
2點多可不可以再請董事長再請講詳細一點這個我不太懂還是總經理要來我說明一下就是經濟部我們有統計就是從台灣出口列為那30項輸美的佔的比重佔全體上市公司的營收是2點多那所以您的這邊是認為說影響還不是很大就對了是不是這個是從台灣出口的部分那進來的部分呢 |
transcript.whisperx[15].start |
326.724 |
transcript.whisperx[15].end |
354.435 |
transcript.whisperx[15].text |
進來的話我們並沒有統計我們是統計上市公司就是經濟部列的那30項出口的部分佔整體上市公司那大概有幾家公司啊這個部分的話我們會後再報告我們是統計比重OK好那請回那這個回到我們這個亞洲資產管理公司來請回這個有一項統計就是說各國所管理的資產佔GDP的比重台灣只佔4成然後跟日本 |
transcript.whisperx[16].start |
355.195 |
transcript.whisperx[16].end |
374.856 |
transcript.whisperx[16].text |
香港這個比起來很多日本差很多日本是有占110%香港占比是1066%新加坡也是打815%落差很大那所以說就這個諸位來講這個亞洲資產管理中心如果要成功的話應該就是要把這一個管理資產占比要把它提高嘛 |
transcript.whisperx[17].start |
375.617 |
transcript.whisperx[17].end |
391.878 |
transcript.whisperx[17].text |
對 因為那個GDP我們也比較大所以當然我們的背景沒有啦 這個跟日本比起來那當然 假設我們相較 比如說剛剛委員有提到比如香港 新加坡 它那個比較高因為它本來管理規模就大了它的分母又比我們小 那當然就很...不是 那日本咧 |
transcript.whisperx[18].start |
392.887 |
transcript.whisperx[18].end |
411.598 |
transcript.whisperx[18].text |
日本他本來也是一個非常非常大的經濟體那日本也在推這個還有就是說有關這個所謂的資產管理規模的計算其實上各國還是有一點點差異不過我們看得出來台灣確實是比較低這是我們努力為什麼要好好來所以這就是你們要努力的地方 |
transcript.whisperx[19].start |
412.699 |
transcript.whisperx[19].end |
441.198 |
transcript.whisperx[19].text |
那我就這個外部資產管理公司這部分來請教一下主委就是說你們有一些法規上面的一些鬆綁然後但是也有一些外部資產管理公司他們認為說鬆綁的規模可能還不夠大那譬如說這個有關這個國外的私募資金的部分現在是有限制說一家只能跟台灣的一家的銀行來合作那沒辦法跟超過一家以上的銀行來做合作 |
transcript.whisperx[20].start |
442.069 |
transcript.whisperx[20].end |
459.195 |
transcript.whisperx[20].text |
對,我們過去確實有這樣,不過我們現在逐步在放寬中那你們的方向是怎麼樣?因為現在比如說這些外部資產管理公司要來台灣,他們只能找一家來合作嘛那如果說是在我們這個特區裡面的話,他是可以除了跟一家之外合作嗎?還是怎麼樣? |
transcript.whisperx[21].start |
459.83 |
transcript.whisperx[21].end |
485.701 |
transcript.whisperx[21].text |
委員提到的是一個外國資產管理公司還是一個外部資產管理公司這兩個是不一樣的內容外部資產管理公司我們講是外國資產管理公司就是說外國資產管理業是比如說國外的資產管理在台灣設的這些子公司分公司特別子公司那另外一個就是我們外部資產管理公司這是我們新開放的它是提供一個顧問業務這部分其實這是新的但是我們對於 |
transcript.whisperx[22].start |
486.821 |
transcript.whisperx[22].end |
498.172 |
transcript.whisperx[22].text |
比如國外的這些資產管理業在這邊的一些的規範我們已經有請期局這邊逐步的再去做一些調整那請問一下就是說目前你們對這個投資有沒有一個最低的門檻 |
transcript.whisperx[23].start |
507.128 |
transcript.whisperx[23].end |
525.326 |
transcript.whisperx[23].text |
我們現在的話就是因為我們現在國內的執照比較特別我們大概就是兩個法定的執照一個就是投信一個叫投顧投顧裡面呢它有一些的業務範圍它是名列在投信投顧法裡面的但是我們其他還有一些其他金屬管居然同意的業務範圍我們可以在做這這時候做一些適當的放寬 |
transcript.whisperx[24].start |
526.347 |
transcript.whisperx[24].end |
553.161 |
transcript.whisperx[24].text |
因為我們國內沒有一個叫資產管理業的執照沒有像比如說國外有九號牌啦或是類似像這樣專門做資產管理業因為我們過去大概都是以有價證券作為一個前提那其實在做資產管理的時候它不限於有價證券相關它可能還有其他比如說不動產或是其他的資產所以我們這次呢在外部這個資產管理這個業裡面呢我們有做這樣的一個在事辦區裡面我們做一個這樣的放寬 |
transcript.whisperx[25].start |
554.181 |
transcript.whisperx[25].end |
566.511 |
transcript.whisperx[25].text |
那我是說有沒有就是說一個門檻比如說要比如說一百萬還是三百萬美金就按照我們現在投信跟投顧特別是比如他那個門檻只看你做的業務而已有點差異這樣那總是有一個素質出來啊你這樣講我還蠻 |
transcript.whisperx[26].start |
573.854 |
transcript.whisperx[26].end |
592.553 |
transcript.whisperx[26].text |
還蠻rough的我也不知道說那裡大概就是一億元一億元我們現在的門檻你如果做高資產客戶大概就是剛剛同學跟我講的是一億元一億元是三百萬美金差不多三百萬美金那有沒有調降的可能性就是說讓門檻低一點然後能夠讓更多的人進來 |
transcript.whisperx[27].start |
593.795 |
transcript.whisperx[27].end |
616.095 |
transcript.whisperx[27].text |
這個部分我們現在是既有的這個規範當然未來我們會看實際上運作的情形我們再來做那還是說這個大概300萬美金就是只能固定在一家還是說你不是好幾家合起來可以300萬美金這樣子這部分跟合作銀行之間的那個內容這個可不可以請那個我們局長來跟委員做簡單的說明一下謝謝 |
transcript.whisperx[28].start |
620.405 |
transcript.whisperx[28].end |
626.324 |
transcript.whisperx[28].text |
我們一般來講看公司的規模如果需要整合的話我們再來看有沒有需求 |
transcript.whisperx[29].start |
628.934 |
transcript.whisperx[29].end |
655.582 |
transcript.whisperx[29].text |
我是說那300萬美金就是1億台幣是說我只能在這一家那還是說我可以好幾家合起來300萬就可以了只單純一家來看那我意思說有沒有可能放寬但看將來的需求如何情況我們再來看我是說在市辦區的話理論上是可以放寬因為它只要合起來有300萬美金的話 |
transcript.whisperx[30].start |
657.618 |
transcript.whisperx[30].end |
677.707 |
transcript.whisperx[30].text |
其實是可以吸引更多的外資來到這邊那你如果說單就一家就只有300萬美金的話那等於是說他如果要來投資的話就必須說他可能要有更高的這個金額才有辦法過來吸引的加速可能會比較少我的意思是這樣子所以我才說這個專區有沒有去做一個調整 |
transcript.whisperx[31].start |
679.29 |
transcript.whisperx[31].end |
692.414 |
transcript.whisperx[31].text |
專區的規定我們就是隨時滾動調整因為這畢竟是一個大的實驗示範辦法所以這部分我們按照實際的申請的情況我們在未來會來做一些滾動式的調整我是覺得說盡量調這個放寬的這個方向來走好不好 |
transcript.whisperx[32].start |
695.795 |
transcript.whisperx[32].end |
722.854 |
transcript.whisperx[32].text |
當然從我們整個政策的架構我們會來思考市場的需求就是這部分我們會未來隨時滾動的去思考這應該要做什麼微調因為很多東西也是我們在事辦區第一次做這件事情這為什麼要透過事辦的原因也在這裡我們想說透過小範圍風險可控的情況之下我們先來觀察這樣的開放對市場的影響那我們再來決定下一步應該是做全面的開放還是做一些微調 |
transcript.whisperx[33].start |
723.939 |
transcript.whisperx[33].end |
724.101 |
transcript.whisperx[33].text |
好 謝謝子晴 |