| IVOD_ID |
164718 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164718 |
| 日期 |
2025-10-23 |
| 會議資料.會議代碼 |
委員會-11-4-20-4 |
| 會議資料.會議代碼:str |
第11屆第4會期財政委員會第4次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
4 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
20 |
| 會議資料.委員會代碼:str[0] |
財政委員會 |
| 會議資料.標題 |
第11屆第4會期財政委員會第4次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-10-23T09:23:44+08:00 |
| 結束時間 |
2025-10-23T09:34:31+08:00 |
| 影片長度 |
00:10:47 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e3c6c6412082f242b65e22d5fd7b62dc48629de9594d8cbef117ba332e8a767fe766b101dd82558b5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
吳秉叡 |
| 委員發言時間 |
09:23:44 - 09:34:31 |
| 會議時間 |
2025-10-23T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期財政委員會第4次全體委員會議(事由:邀請中央銀行楊總裁金龍率所屬單位主管暨財金資訊股份有限公司董事長列席業務報告,並備質詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
13.12596875 |
| transcript.pyannote[0].end |
14.18909375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
16.41659375 |
| transcript.pyannote[1].end |
19.63971875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
24.21284375 |
| transcript.pyannote[2].end |
26.18721875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
26.35596875 |
| transcript.pyannote[3].end |
26.99721875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
27.40221875 |
| transcript.pyannote[4].end |
29.14034375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
29.46096875 |
| transcript.pyannote[5].end |
30.72659375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
31.26659375 |
| transcript.pyannote[6].end |
34.30409375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
34.69221875 |
| transcript.pyannote[7].end |
34.72596875 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
34.72596875 |
| transcript.pyannote[8].end |
34.84409375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
34.84409375 |
| transcript.pyannote[9].end |
34.86096875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
34.86096875 |
| transcript.pyannote[10].end |
35.02971875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
35.02971875 |
| transcript.pyannote[11].end |
35.04659375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
35.04659375 |
| transcript.pyannote[12].end |
35.06346875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
35.06346875 |
| transcript.pyannote[13].end |
53.17034375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
49.28909375 |
| transcript.pyannote[14].end |
49.91346875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
51.11159375 |
| transcript.pyannote[15].end |
51.46596875 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
52.30971875 |
| transcript.pyannote[16].end |
52.79909375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
53.57534375 |
| transcript.pyannote[17].end |
58.11471875 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
55.17846875 |
| transcript.pyannote[18].end |
55.27971875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
57.28784375 |
| transcript.pyannote[19].end |
58.21596875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
58.21596875 |
| transcript.pyannote[20].end |
58.31721875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
58.31721875 |
| transcript.pyannote[21].end |
59.11034375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
58.68846875 |
| transcript.pyannote[22].end |
63.00846875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
61.20284375 |
| transcript.pyannote[23].end |
62.16471875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
63.00846875 |
| transcript.pyannote[24].end |
67.80096875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
63.05909375 |
| transcript.pyannote[25].end |
63.29534375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
68.30721875 |
| transcript.pyannote[26].end |
71.98596875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
71.98596875 |
| transcript.pyannote[27].end |
72.34034375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
72.34034375 |
| transcript.pyannote[28].end |
79.64721875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
72.35721875 |
| transcript.pyannote[29].end |
72.39096875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
78.55034375 |
| transcript.pyannote[30].end |
78.78659375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
79.73159375 |
| transcript.pyannote[31].end |
82.22909375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
80.77784375 |
| transcript.pyannote[32].end |
81.11534375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
82.53284375 |
| transcript.pyannote[33].end |
83.61284375 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
82.63409375 |
| transcript.pyannote[34].end |
82.83659375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
84.77721875 |
| transcript.pyannote[35].end |
86.73471875 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
87.56159375 |
| transcript.pyannote[36].end |
98.90159375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
91.67909375 |
| transcript.pyannote[37].end |
92.06721875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
98.95221875 |
| transcript.pyannote[38].end |
98.96909375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
99.12096875 |
| transcript.pyannote[39].end |
128.46659375 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
105.12846875 |
| transcript.pyannote[40].end |
105.61784375 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
108.11534375 |
| transcript.pyannote[41].end |
108.77346875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
114.34221875 |
| transcript.pyannote[42].end |
114.49409375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
128.90534375 |
| transcript.pyannote[43].end |
134.37284375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
134.64284375 |
| transcript.pyannote[44].end |
137.79846875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
137.91659375 |
| transcript.pyannote[45].end |
139.95846875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
138.30471875 |
| transcript.pyannote[46].end |
138.33846875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
140.07659375 |
| transcript.pyannote[47].end |
145.72971875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
140.26221875 |
| transcript.pyannote[48].end |
140.38034375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
146.28659375 |
| transcript.pyannote[49].end |
156.42846875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
148.90221875 |
| transcript.pyannote[50].end |
148.95284375 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
149.40846875 |
| transcript.pyannote[51].end |
149.52659375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
151.28159375 |
| transcript.pyannote[52].end |
151.50096875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
153.99846875 |
| transcript.pyannote[53].end |
154.20096875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
156.09096875 |
| transcript.pyannote[54].end |
156.12471875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
157.20471875 |
| transcript.pyannote[55].end |
173.42159375 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
159.26346875 |
| transcript.pyannote[56].end |
159.53346875 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
161.74409375 |
| transcript.pyannote[57].end |
162.14909375 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
163.65096875 |
| transcript.pyannote[58].end |
163.85346875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
167.95409375 |
| transcript.pyannote[59].end |
169.74284375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
173.42159375 |
| transcript.pyannote[60].end |
173.53971875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
173.91096875 |
| transcript.pyannote[61].end |
173.97846875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
173.97846875 |
| transcript.pyannote[62].end |
192.32159375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
187.71471875 |
| transcript.pyannote[63].end |
191.62971875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
191.86596875 |
| transcript.pyannote[64].end |
191.98409375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
192.59159375 |
| transcript.pyannote[65].end |
193.06409375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
192.74346875 |
| transcript.pyannote[66].end |
196.96221875 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
196.96221875 |
| transcript.pyannote[67].end |
227.03346875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
227.03346875 |
| transcript.pyannote[68].end |
233.96909375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
233.56409375 |
| transcript.pyannote[69].end |
234.20534375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
234.20534375 |
| transcript.pyannote[70].end |
274.55346875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
234.22221875 |
| transcript.pyannote[71].end |
234.39096875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
241.46159375 |
| transcript.pyannote[72].end |
241.88346875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
244.24596875 |
| transcript.pyannote[73].end |
244.38096875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
248.21159375 |
| transcript.pyannote[74].end |
248.26221875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
256.37909375 |
| transcript.pyannote[75].end |
257.69534375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
263.17971875 |
| transcript.pyannote[76].end |
263.26409375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
263.38221875 |
| transcript.pyannote[77].end |
263.51721875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
270.38534375 |
| transcript.pyannote[78].end |
270.70596875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
274.60409375 |
| transcript.pyannote[79].end |
276.34221875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
274.67159375 |
| transcript.pyannote[80].end |
274.92471875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
276.91596875 |
| transcript.pyannote[81].end |
303.39284375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
279.85221875 |
| transcript.pyannote[82].end |
279.98721875 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
280.10534375 |
| transcript.pyannote[83].end |
280.22346875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
282.60284375 |
| transcript.pyannote[84].end |
282.75471875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
293.08221875 |
| transcript.pyannote[85].end |
293.11596875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
293.36909375 |
| transcript.pyannote[86].end |
293.41971875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
303.46034375 |
| transcript.pyannote[87].end |
311.61096875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
303.81471875 |
| transcript.pyannote[88].end |
304.48971875 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
304.72596875 |
| transcript.pyannote[89].end |
304.74284375 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
304.91159375 |
| transcript.pyannote[90].end |
305.65409375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
306.05909375 |
| transcript.pyannote[91].end |
306.56534375 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
308.05034375 |
| transcript.pyannote[92].end |
308.13471875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
308.55659375 |
| transcript.pyannote[93].end |
308.59034375 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
311.61096875 |
| transcript.pyannote[94].end |
312.03284375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
312.47159375 |
| transcript.pyannote[95].end |
315.37409375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
315.37409375 |
| transcript.pyannote[96].end |
316.85909375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
316.21784375 |
| transcript.pyannote[97].end |
327.87846875 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
317.36534375 |
| transcript.pyannote[98].end |
317.60159375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
323.52471875 |
| transcript.pyannote[99].end |
323.60909375 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
326.49471875 |
| transcript.pyannote[100].end |
326.76471875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
328.11471875 |
| transcript.pyannote[101].end |
332.56971875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
331.42221875 |
| transcript.pyannote[102].end |
331.96221875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
332.58659375 |
| transcript.pyannote[103].end |
335.06721875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
332.67096875 |
| transcript.pyannote[104].end |
332.97471875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
335.16846875 |
| transcript.pyannote[105].end |
345.69846875 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
335.79284375 |
| transcript.pyannote[106].end |
336.19784375 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
338.76284375 |
| transcript.pyannote[107].end |
339.21846875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
345.69846875 |
| transcript.pyannote[108].end |
345.91784375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
345.91784375 |
| transcript.pyannote[109].end |
348.41534375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
349.02284375 |
| transcript.pyannote[110].end |
350.25471875 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
350.27159375 |
| transcript.pyannote[111].end |
350.67659375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
350.60909375 |
| transcript.pyannote[112].end |
359.99159375 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
357.44346875 |
| transcript.pyannote[113].end |
357.93284375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
360.05909375 |
| transcript.pyannote[114].end |
367.02846875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
360.22784375 |
| transcript.pyannote[115].end |
360.46409375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
367.21409375 |
| transcript.pyannote[116].end |
367.70346875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
368.02409375 |
| transcript.pyannote[117].end |
385.16909375 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
381.59159375 |
| transcript.pyannote[118].end |
381.65909375 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
381.87846875 |
| transcript.pyannote[119].end |
382.03034375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
385.59096875 |
| transcript.pyannote[120].end |
386.78909375 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
386.11409375 |
| transcript.pyannote[121].end |
386.18159375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
386.90721875 |
| transcript.pyannote[122].end |
390.60284375 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
390.46784375 |
| transcript.pyannote[123].end |
390.95721875 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
390.65346875 |
| transcript.pyannote[124].end |
394.12971875 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
393.69096875 |
| transcript.pyannote[125].end |
395.83409375 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
396.05346875 |
| transcript.pyannote[126].end |
399.49596875 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
399.41159375 |
| transcript.pyannote[127].end |
399.66471875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
399.64784375 |
| transcript.pyannote[128].end |
401.36909375 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
399.69846875 |
| transcript.pyannote[129].end |
399.78284375 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
401.23409375 |
| transcript.pyannote[130].end |
401.31846875 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
401.36909375 |
| transcript.pyannote[131].end |
401.60534375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
401.60534375 |
| transcript.pyannote[132].end |
403.12409375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
403.37721875 |
| transcript.pyannote[133].end |
421.38284375 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
419.66159375 |
| transcript.pyannote[134].end |
420.43784375 |
| transcript.pyannote[135].speaker |
SPEAKER_01 |
| transcript.pyannote[135].start |
420.85971875 |
| transcript.pyannote[135].end |
455.28471875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
453.49596875 |
| transcript.pyannote[136].end |
453.74909375 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
455.45346875 |
| transcript.pyannote[137].end |
485.25471875 |
| transcript.pyannote[138].speaker |
SPEAKER_01 |
| transcript.pyannote[138].start |
485.55846875 |
| transcript.pyannote[138].end |
522.97034375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
519.66284375 |
| transcript.pyannote[139].end |
519.86534375 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
522.97034375 |
| transcript.pyannote[140].end |
549.16034375 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
527.37471875 |
| transcript.pyannote[141].end |
528.13409375 |
| transcript.pyannote[142].speaker |
SPEAKER_01 |
| transcript.pyannote[142].start |
536.21721875 |
| transcript.pyannote[142].end |
537.02721875 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
548.08034375 |
| transcript.pyannote[143].end |
561.37784375 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
561.85034375 |
| transcript.pyannote[144].end |
584.20971875 |
| transcript.pyannote[145].speaker |
SPEAKER_01 |
| transcript.pyannote[145].start |
566.22096875 |
| transcript.pyannote[145].end |
566.84534375 |
| transcript.pyannote[146].speaker |
SPEAKER_01 |
| transcript.pyannote[146].start |
572.73471875 |
| transcript.pyannote[146].end |
573.17346875 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
575.26596875 |
| transcript.pyannote[147].end |
575.80596875 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
582.55596875 |
| transcript.pyannote[148].end |
582.62346875 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
582.79221875 |
| transcript.pyannote[149].end |
583.11284375 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
584.73284375 |
| transcript.pyannote[150].end |
599.04284375 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
588.98534375 |
| transcript.pyannote[151].end |
589.86284375 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
593.15346875 |
| transcript.pyannote[152].end |
593.55846875 |
| transcript.pyannote[153].speaker |
SPEAKER_01 |
| transcript.pyannote[153].start |
595.16159375 |
| transcript.pyannote[153].end |
595.26284375 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
595.27971875 |
| transcript.pyannote[154].end |
595.49909375 |
| transcript.pyannote[155].speaker |
SPEAKER_01 |
| transcript.pyannote[155].start |
597.89534375 |
| transcript.pyannote[155].end |
598.62096875 |
| transcript.pyannote[156].speaker |
SPEAKER_01 |
| transcript.pyannote[156].start |
599.04284375 |
| transcript.pyannote[156].end |
605.67471875 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
599.17784375 |
| transcript.pyannote[157].end |
599.85284375 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
602.33346875 |
| transcript.pyannote[158].end |
622.19534375 |
| transcript.pyannote[159].speaker |
SPEAKER_01 |
| transcript.pyannote[159].start |
607.29471875 |
| transcript.pyannote[159].end |
607.31159375 |
| transcript.pyannote[160].speaker |
SPEAKER_01 |
| transcript.pyannote[160].start |
610.26471875 |
| transcript.pyannote[160].end |
611.10846875 |
| transcript.pyannote[161].speaker |
SPEAKER_01 |
| transcript.pyannote[161].start |
612.12096875 |
| transcript.pyannote[161].end |
613.09971875 |
| transcript.pyannote[162].speaker |
SPEAKER_01 |
| transcript.pyannote[162].start |
616.67721875 |
| transcript.pyannote[162].end |
617.13284375 |
| transcript.pyannote[163].speaker |
SPEAKER_01 |
| transcript.pyannote[163].start |
618.39846875 |
| transcript.pyannote[163].end |
619.32659375 |
| transcript.pyannote[164].speaker |
SPEAKER_01 |
| transcript.pyannote[164].start |
620.64284375 |
| transcript.pyannote[164].end |
621.11534375 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
622.93784375 |
| transcript.pyannote[165].end |
632.37096875 |
| transcript.pyannote[166].speaker |
SPEAKER_01 |
| transcript.pyannote[166].start |
629.67096875 |
| transcript.pyannote[166].end |
629.99159375 |
| transcript.pyannote[167].speaker |
SPEAKER_01 |
| transcript.pyannote[167].start |
632.37096875 |
| transcript.pyannote[167].end |
632.38784375 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
632.38784375 |
| transcript.pyannote[168].end |
632.80971875 |
| transcript.pyannote[169].speaker |
SPEAKER_01 |
| transcript.pyannote[169].start |
632.50596875 |
| transcript.pyannote[169].end |
632.74221875 |
| transcript.pyannote[170].speaker |
SPEAKER_01 |
| transcript.pyannote[170].start |
632.80971875 |
| transcript.pyannote[170].end |
641.95596875 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
633.23159375 |
| transcript.pyannote[171].end |
633.50159375 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
633.65346875 |
| transcript.pyannote[172].end |
634.83471875 |
| transcript.pyannote[173].speaker |
SPEAKER_00 |
| transcript.pyannote[173].start |
639.47534375 |
| transcript.pyannote[173].end |
639.88034375 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
639.93096875 |
| transcript.pyannote[174].end |
640.03221875 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
640.80846875 |
| transcript.pyannote[175].end |
643.82909375 |
| transcript.pyannote[176].speaker |
SPEAKER_01 |
| transcript.pyannote[176].start |
643.23846875 |
| transcript.pyannote[176].end |
646.90034375 |
| transcript.pyannote[177].speaker |
SPEAKER_00 |
| transcript.pyannote[177].start |
644.55471875 |
| transcript.pyannote[177].end |
644.77409375 |
| transcript.pyannote[178].speaker |
SPEAKER_00 |
| transcript.pyannote[178].start |
645.14534375 |
| transcript.pyannote[178].end |
645.26346875 |
| transcript.whisperx[0].start |
16.482 |
| transcript.whisperx[0].end |
18.367 |
| transcript.whisperx[0].text |
主席 麻煩請中央銀行楊總裁好 請楊總裁 |
| transcript.whisperx[1].start |
24.589 |
| transcript.whisperx[1].end |
50.636 |
| transcript.whisperx[1].text |
吳委員早早喔是這個看到你的報告裡面提到今年上半年的經濟成長率是GDP是6.75是那因為上半年已經結束所以這是確定的對沒有錯然後你們的預估是下半年是2.51是所以全年現在預估是4.55是那當然你剛剛有講說12月的時候你們還會再開一個會然後看看是不是調整 |
| transcript.whisperx[2].start |
50.996 |
| transcript.whisperx[2].end |
71.586 |
| transcript.whisperx[2].text |
但是我提醒你第三季我們的出口仍然更超越以往更破紀錄所以我看這個明顯的2.5億這個預估應該是會要調高我想我們會仔細的去研究裡面一個很重要的原因就是我們的出口 |
| transcript.whisperx[3].start |
72.406 |
| transcript.whisperx[3].end |
80.577 |
| transcript.whisperx[3].text |
尤其是電子跟AI產品的出口這個訂單持續在增加今年對美國的粗糙你認為應該會有多少金額 |
| transcript.whisperx[4].start |
87.631 |
| transcript.whisperx[4].end |
112.918 |
| transcript.whisperx[4].text |
我有一個數據跟委員報告我們是也有做預估大概會1200億左右去年我們台灣看自己的報告是600多億的順差但是美國是說是700多億因為可能轉口什麼計算的標準不是很一致差距不大 |
| transcript.whisperx[5].start |
115.299 |
| transcript.whisperx[5].end |
133.912 |
| transcript.whisperx[5].text |
這700多億的這個順差在美國來講就已經是他前幾名的這個順差國家所以站在國際貿易的角度你認為這個應該要如何平衡我們有時候講談政治也好談國家跟國家之好一地而處 |
| transcript.whisperx[6].start |
134.953 |
| transcript.whisperx[6].end |
155.527 |
| transcript.whisperx[6].text |
今天如果有一個國家對台灣的粗糙是這麼的多的時候那你覺得台灣政府不應該要拿出一些對策嗎那如果用這樣的想法相對的美國政府也對我們提出很多的對策嘛包括他要跟你關稅談判啊然後希望你要多進口美國的東西啊要平衡貿易啊 |
| transcript.whisperx[7].start |
157.568 |
| transcript.whisperx[7].end |
172.575 |
| transcript.whisperx[7].text |
這個目標不僅達不成如果照你剛剛預估數目今年的順差會達到1200多億那我覺得你未來的問題可能面對的要很嚴峻那總裁你的想法如何平衡台灣跟美國之間的國際貿易呢 |
| transcript.whisperx[8].start |
174.436 |
| transcript.whisperx[8].end |
188.465 |
| transcript.whisperx[8].text |
我想報告委員剛剛你所講的就是說我們對美國的增加對他的一個採購這個是一個方式不管就是說是在國防後面還有其他應該 |
| transcript.whisperx[9].start |
192.848 |
| transcript.whisperx[9].end |
196.849 |
| transcript.whisperx[9].text |
人家讓我們賺了這麼多錢我們如果合理的就是要跟人家買是所以就是說現在我們要把我們就是說台灣的一個經驗要到美國去設廠我想如果說我們台積電在那邊設廠還有周遭的一些相關的一個產業鏈也能夠過去的話 |
| transcript.whisperx[10].start |
217.256 |
| transcript.whisperx[10].end |
219.257 |
| transcript.whisperx[10].text |
這個我覺得我在猜想這個也是我們平衡我們中美貿易的一個很好的方式這個方式是這樣子的因為現在美國川普總統他們政府的政策就是要製造業重回美國 |
| transcript.whisperx[11].start |
234.364 |
| transcript.whisperx[11].end |
260.547 |
| transcript.whisperx[11].text |
那製造業重回美國當然非常多的面向其中包括AI跟電子產業裡面台灣扮演重要的角色那在造船方面韓國扮演重要的角色在其他的領域日本又扮演重要的角色等等所以這是一個國際之間如何跟美國在全世界建構的貿易再平衡然後配合美國的政策的一個重要指標那因為美國的勞動界就是說他們的 |
| transcript.whisperx[12].start |
262.367 |
| transcript.whisperx[12].end |
275.872 |
| transcript.whisperx[12].text |
這個工人他的工作習慣跟台灣的文化是不一樣的另外台灣因為中小企業是很龐大所以我們是一個整個產業群組整個聚落所以我們譬如說我在台灣 |
| transcript.whisperx[13].start |
277.031 |
| transcript.whisperx[13].end |
302.412 |
| transcript.whisperx[13].text |
做的是一部分然後大家打群架嘛才會做出最終端的好產品那美國基本上他們現在的製造業沒有這樣的概念所以才說要去美國複製科學園區的概念是這樣子的觀念那問題是這個是去美國投資是只有平衡這個金融帳啊我們去那邊投資弄了很多美金去美國投資但那還是台灣的錢啊 |
| transcript.whisperx[14].start |
303.593 |
| transcript.whisperx[14].end |
327.531 |
| transcript.whisperx[14].text |
那台湾的企业到美国投资目的也是要赚更多的钱当然在美国会有制造会有工作机会但是那个只是一部分对啦没有错啦所以其实我是觉得政府的政策跟目前谈判的方向跟美国的政策是整个是一贯的啦这个对美贸易谈判我常常做一个比喻 |
| transcript.whisperx[15].start |
328.331 |
| transcript.whisperx[15].end |
347.63 |
| transcript.whisperx[15].text |
是吃西餐的套餐啦是一攬子的不能光挑裡面的一樣出來比啦那老師要比說那現在韓國是15%那台灣20%比較高問題是你韓國大家一定要投資美國4千多億的美金啊那現在李在民回到韓國說 |
| transcript.whisperx[16].start |
349.073 |
| transcript.whisperx[16].end |
365.284 |
| transcript.whisperx[16].text |
沒有辦法兌現啦因為他說如果兌現的話韓國可能會產生新的金融危機因為韓國的外匯存底跟比不上台灣嘛他自己基本上也沒有4000多億美金可以拿出來去做投資嘛那被打臉了之後現在美國政府回過頭來會怎麼對付韓國我們還在看啦 |
| transcript.whisperx[17].start |
368.18 |
| transcript.whisperx[17].end |
394.935 |
| transcript.whisperx[17].text |
那當然因為美國也有很多的問題啊譬如說他的最高法院最近也在對這個貿易談判的這個關稅問題在打法律官司在跟美國政府之間有人在跟美國政府之間打法律官司嘛所以這個10月底才會見真章嘛所以我覺得我們做一個公允的論證比較是一攬子的比較而不是只單一項目的比較沒有錯啦 是沒有錯 |
| transcript.whisperx[18].start |
396.107 |
| transcript.whisperx[18].end |
413.904 |
| transcript.whisperx[18].text |
那再來我要問你一個就是會對你產生的問題因為粗糙這麼多台灣又一直被列在外匯操縱的觀察名單那因為粗糙樹木是三大指標裡面的一個很重要的指標所以你如何來面對下面 |
| transcript.whisperx[19].start |
415.186 |
| transcript.whisperx[19].end |
426.442 |
| transcript.whisperx[19].text |
這個國家大好但是你央行在這一方面你要面對考驗那你跟我們回答一下你要如何委員講得沒有錯基本上美國財政部的匯率報告它三項的指標 |
| transcript.whisperx[20].start |
431.169 |
| transcript.whisperx[20].end |
436.815 |
| transcript.whisperx[20].text |
那第一項跟第二項就是經常漲的順差對GDP還有就對美國的一個順差的金額這兩項我們從以前到現在都一直存在的那如果說第三項的話第三項如果我們又觸及到它的時候呢就如同委員說的我們就變成操縱了 |
| transcript.whisperx[21].start |
455.503 |
| transcript.whisperx[21].end |
459.326 |
| transcript.whisperx[21].text |
那操縱的話呢在現在呢這個關稅談判的過程當中呢如果我們又被他抓住這個把柄的話就是說我們台灣呢是操縱匯率的話那這個呢就會變成一個很大的一個事件所以基本上呢我們央行也非常的注意他所以呢但是呢我想呢我們有兩個目標第一個目標呢我們是盡量的 |
| transcript.whisperx[22].start |
485.703 |
| transcript.whisperx[22].end |
500.997 |
| transcript.whisperx[22].text |
要维持我们汇率的稳定让我们的进出口厂商它的报价能够稳定它的营运能够顺畅这是第一个我们的目标这个我觉得最重要是是是第二个目标呢我们呢 |
| transcript.whisperx[23].start |
502.819 |
| transcript.whisperx[23].end |
506.082 |
| transcript.whisperx[23].text |
在因為我們跟美國之間財政部的一個在討論的過程當中我們彼此之間的一個關係也蠻良好的也蠻良好的溝通順暢溝通非常順暢但是即使是順暢但是我們還是不要去踩到他的紅線 |
| transcript.whisperx[24].start |
523.058 |
| transcript.whisperx[24].end |
543.286 |
| transcript.whisperx[24].text |
是但是總裁我現在是講你前面剛剛講那兩樣是我們台灣一直存在沒有錯但是去年存在的客觀現實是對美順超700多億美金但是今年你已經預估到1200多億所以前面那個不利的因素在累加你不能夠說我出超700多億的時候跟出超1200多億的時候是一樣的看待 |
| transcript.whisperx[25].start |
546.067 |
| transcript.whisperx[25].end |
549.052 |
| transcript.whisperx[25].text |
我覺得美國不一定會這樣看待你我們不能一廂情願不過我也跟委員報告在目前的情況之下我們也要認為事實上美國在AI的方面它也是非常依賴我們台灣 |
| transcript.whisperx[26].start |
562.054 |
| transcript.whisperx[26].end |
583.444 |
| transcript.whisperx[26].text |
當然我覺得技術上面還有製造上面我們跟美國是互補如果是未來的高科技產業所謂的電子高科技產業AI這一方面我覺得美國跟台灣的合作會是未來世界的先驅我們已經知道好的位置當然希望繼續維持下去但是我是覺得說 |
| transcript.whisperx[27].start |
585.25 |
| transcript.whisperx[27].end |
602.359 |
| transcript.whisperx[27].text |
這個方面如何跟我們跟美國之間的匯率等等這些問題當然最重要是要維持穩定因為台灣的市場小你如果太多的美金進到台灣投資這些股市然後來來去去會造成幣值的不穩定沒有錯 委員也是觀察得非常的仔細 |
| transcript.whisperx[28].start |
603.8 |
| transcript.whisperx[28].end |
618.736 |
| transcript.whisperx[28].text |
最後一個小問題就是你的新台幣改版你說要向公眾提出徵詢那我先表達我的意見給你聽我是希望未來的新台幣不要再把政治人物放到上面去當這個頭像其實那個時代已經過去了早足以 |
| transcript.whisperx[29].start |
623.839 |
| transcript.whisperx[29].end |
635.189 |
| transcript.whisperx[29].text |
這彰顯台灣的特色 台灣的東西把它放到這上面來這是我的建議 無論是哪一個政治人物都不要再放上去委員的建議 我想我們會納入參考好 謝謝 加油你的這個責任很重是 謝謝 謝謝委員主席謝謝吳秉仁委員 |