| IVOD_ID |
164682 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164682 |
| 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 |
2025-10-23T11:43:00+08:00 |
| 結束時間 |
2025-10-23T11:50:42+08:00 |
| 影片長度 |
00:07:42 |
| 支援功能[0] |
ai-transcript |
| 支援功能[1] |
gazette |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1f1f5c91750503d3c079bb64276478a148629de9594d8cbe378985d1c29b3feab0ed05b3693a1b515ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
謝衣鳯 |
| 委員發言時間 |
11:43:00 - 11:50:42 |
| 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_01 |
| transcript.pyannote[0].start |
11.50596875 |
| transcript.pyannote[0].end |
11.64096875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
12.13034375 |
| transcript.pyannote[1].end |
14.25659375 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
14.79659375 |
| transcript.pyannote[2].end |
16.38284375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
16.58534375 |
| transcript.pyannote[3].end |
18.12096875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
20.82096875 |
| transcript.pyannote[4].end |
21.88409375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
21.66471875 |
| transcript.pyannote[5].end |
22.91346875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
23.08221875 |
| transcript.pyannote[6].end |
24.02721875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
23.70659375 |
| transcript.pyannote[7].end |
24.17909375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
24.60096875 |
| transcript.pyannote[8].end |
33.51096875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
31.48596875 |
| transcript.pyannote[9].end |
32.04284375 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
33.71346875 |
| transcript.pyannote[10].end |
35.41784375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
35.01284375 |
| transcript.pyannote[11].end |
35.58659375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
36.05909375 |
| transcript.pyannote[12].end |
42.69096875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
38.10096875 |
| transcript.pyannote[13].end |
38.60721875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
41.81346875 |
| transcript.pyannote[14].end |
42.13409375 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
43.23096875 |
| transcript.pyannote[15].end |
45.54284375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
46.06596875 |
| transcript.pyannote[16].end |
47.78721875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
47.11221875 |
| transcript.pyannote[17].end |
47.58471875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
47.97284375 |
| transcript.pyannote[18].end |
48.36096875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
48.44534375 |
| transcript.pyannote[19].end |
49.77846875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
49.72784375 |
| transcript.pyannote[20].end |
52.27596875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
50.53784375 |
| transcript.pyannote[21].end |
51.06096875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
52.51221875 |
| transcript.pyannote[22].end |
52.76534375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
53.18721875 |
| transcript.pyannote[23].end |
62.24909375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
59.56596875 |
| transcript.pyannote[24].end |
60.00471875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
62.16471875 |
| transcript.pyannote[25].end |
62.90721875 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
62.90721875 |
| transcript.pyannote[26].end |
63.88596875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
63.88596875 |
| transcript.pyannote[27].end |
64.03784375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
64.40909375 |
| transcript.pyannote[28].end |
68.81346875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
68.91471875 |
| transcript.pyannote[29].end |
75.39471875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
75.76596875 |
| transcript.pyannote[30].end |
76.54221875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
77.09909375 |
| transcript.pyannote[31].end |
80.55846875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
80.55846875 |
| transcript.pyannote[32].end |
82.46534375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
83.29221875 |
| transcript.pyannote[33].end |
85.68846875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
85.30034375 |
| transcript.pyannote[34].end |
85.57034375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
85.89096875 |
| transcript.pyannote[35].end |
89.55284375 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
89.13096875 |
| transcript.pyannote[36].end |
89.19846875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
89.56971875 |
| transcript.pyannote[37].end |
92.18534375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
92.82659375 |
| transcript.pyannote[38].end |
99.98159375 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
100.36971875 |
| transcript.pyannote[39].end |
101.65221875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
100.84221875 |
| transcript.pyannote[40].end |
122.30721875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
102.73221875 |
| transcript.pyannote[41].end |
104.43659375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
122.44221875 |
| transcript.pyannote[42].end |
122.50971875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
122.50971875 |
| transcript.pyannote[43].end |
132.53346875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
122.52659375 |
| transcript.pyannote[44].end |
123.38721875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
128.41596875 |
| transcript.pyannote[45].end |
128.44971875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
132.29721875 |
| transcript.pyannote[46].end |
138.11909375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
133.03971875 |
| transcript.pyannote[47].end |
133.69784375 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
136.75221875 |
| transcript.pyannote[48].end |
157.74471875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
147.58596875 |
| transcript.pyannote[49].end |
149.49284375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
156.58034375 |
| transcript.pyannote[50].end |
158.62221875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
157.84596875 |
| transcript.pyannote[51].end |
160.25909375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
159.63471875 |
| transcript.pyannote[52].end |
162.14909375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
161.37284375 |
| transcript.pyannote[53].end |
171.02534375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
171.02534375 |
| transcript.pyannote[54].end |
173.13471875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
172.83096875 |
| transcript.pyannote[55].end |
173.45534375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
173.23596875 |
| transcript.pyannote[56].end |
176.34096875 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
173.86034375 |
| transcript.pyannote[57].end |
174.29909375 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
176.34096875 |
| transcript.pyannote[58].end |
177.30284375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
177.01596875 |
| transcript.pyannote[59].end |
204.03284375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
204.20159375 |
| transcript.pyannote[60].end |
206.15909375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
204.99471875 |
| transcript.pyannote[61].end |
205.31534375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
206.17596875 |
| transcript.pyannote[62].end |
206.51346875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
206.39534375 |
| transcript.pyannote[63].end |
213.38159375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
209.02784375 |
| transcript.pyannote[64].end |
209.38221875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
210.73221875 |
| transcript.pyannote[65].end |
211.32284375 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
213.51659375 |
| transcript.pyannote[66].end |
214.39409375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
214.68096875 |
| transcript.pyannote[67].end |
216.50346875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
216.92534375 |
| transcript.pyannote[68].end |
226.03784375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
217.16159375 |
| transcript.pyannote[69].end |
217.53284375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
219.67596875 |
| transcript.pyannote[70].end |
222.71346875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
226.37534375 |
| transcript.pyannote[71].end |
231.10034375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
231.31971875 |
| transcript.pyannote[72].end |
232.88909375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
231.77534375 |
| transcript.pyannote[73].end |
232.06221875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
232.90596875 |
| transcript.pyannote[74].end |
239.43659375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
235.15034375 |
| transcript.pyannote[75].end |
236.43284375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
239.43659375 |
| transcript.pyannote[76].end |
244.34721875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
239.45346875 |
| transcript.pyannote[77].end |
240.26346875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
242.40659375 |
| transcript.pyannote[78].end |
243.08159375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
244.58346875 |
| transcript.pyannote[79].end |
254.03346875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
244.71846875 |
| transcript.pyannote[80].end |
245.34284375 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
246.13596875 |
| transcript.pyannote[81].end |
247.50284375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
248.81909375 |
| transcript.pyannote[82].end |
249.56159375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
254.55659375 |
| transcript.pyannote[83].end |
256.95284375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
254.72534375 |
| transcript.pyannote[84].end |
256.24409375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
256.54784375 |
| transcript.pyannote[85].end |
257.00346875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
257.05409375 |
| transcript.pyannote[86].end |
257.07096875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
257.08784375 |
| transcript.pyannote[87].end |
258.60659375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
258.18471875 |
| transcript.pyannote[88].end |
259.88909375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
260.29409375 |
| transcript.pyannote[89].end |
270.03096875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
270.62159375 |
| transcript.pyannote[90].end |
271.14471875 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
271.36409375 |
| transcript.pyannote[91].end |
272.59596875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
272.59596875 |
| transcript.pyannote[92].end |
272.95034375 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
273.28784375 |
| transcript.pyannote[93].end |
274.16534375 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
274.57034375 |
| transcript.pyannote[94].end |
276.02159375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
276.71346875 |
| transcript.pyannote[95].end |
278.19846875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
277.08471875 |
| transcript.pyannote[96].end |
277.75971875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
277.89471875 |
| transcript.pyannote[97].end |
284.40846875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
279.61596875 |
| transcript.pyannote[98].end |
279.98721875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
281.53971875 |
| transcript.pyannote[99].end |
282.23159375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
284.44221875 |
| transcript.pyannote[100].end |
286.58534375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
284.84721875 |
| transcript.pyannote[101].end |
285.45471875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
286.21409375 |
| transcript.pyannote[102].end |
287.49659375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
287.46284375 |
| transcript.pyannote[103].end |
287.83409375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
288.20534375 |
| transcript.pyannote[104].end |
295.15784375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
293.74034375 |
| transcript.pyannote[105].end |
294.14534375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
294.85409375 |
| transcript.pyannote[106].end |
296.17034375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
296.37284375 |
| transcript.pyannote[107].end |
307.00409375 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
300.49034375 |
| transcript.pyannote[108].end |
300.50721875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
300.62534375 |
| transcript.pyannote[109].end |
300.86159375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
307.32471875 |
| transcript.pyannote[110].end |
312.92721875 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
309.72096875 |
| transcript.pyannote[111].end |
309.88971875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
310.10909375 |
| transcript.pyannote[112].end |
310.15971875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
314.19284375 |
| transcript.pyannote[113].end |
315.35721875 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
315.57659375 |
| transcript.pyannote[114].end |
325.88721875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
325.97159375 |
| transcript.pyannote[115].end |
326.39346875 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
326.96721875 |
| transcript.pyannote[116].end |
344.19659375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
344.19659375 |
| transcript.pyannote[117].end |
354.25409375 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
350.27159375 |
| transcript.pyannote[118].end |
350.37284375 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
352.58346875 |
| transcript.pyannote[119].end |
399.85034375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
357.42659375 |
| transcript.pyannote[120].end |
358.05096875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
358.97909375 |
| transcript.pyannote[121].end |
359.55284375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
360.09284375 |
| transcript.pyannote[122].end |
361.27409375 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
362.37096875 |
| transcript.pyannote[123].end |
362.82659375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
373.79534375 |
| transcript.pyannote[124].end |
374.26784375 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
374.82471875 |
| transcript.pyannote[125].end |
375.34784375 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
377.10284375 |
| transcript.pyannote[126].end |
377.47409375 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
380.14034375 |
| transcript.pyannote[127].end |
380.76471875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
383.34659375 |
| transcript.pyannote[128].end |
386.09721875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
386.60346875 |
| transcript.pyannote[129].end |
386.92409375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
394.85534375 |
| transcript.pyannote[130].end |
395.39534375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
397.99409375 |
| transcript.pyannote[131].end |
410.95409375 |
| transcript.pyannote[132].speaker |
SPEAKER_01 |
| transcript.pyannote[132].start |
410.05971875 |
| transcript.pyannote[132].end |
410.12721875 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
410.95409375 |
| transcript.pyannote[133].end |
415.47659375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
412.82721875 |
| transcript.pyannote[134].end |
415.54409375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
415.89846875 |
| transcript.pyannote[135].end |
415.93221875 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
415.93221875 |
| transcript.pyannote[136].end |
417.09659375 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
417.50159375 |
| transcript.pyannote[137].end |
421.58534375 |
| transcript.pyannote[138].speaker |
SPEAKER_01 |
| transcript.pyannote[138].start |
419.44221875 |
| transcript.pyannote[138].end |
424.62284375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
423.25596875 |
| transcript.pyannote[139].end |
423.86346875 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
424.43721875 |
| transcript.pyannote[140].end |
425.68596875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
424.85909375 |
| transcript.pyannote[141].end |
434.95034375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
426.47909375 |
| transcript.pyannote[142].end |
427.22159375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
435.35534375 |
| transcript.pyannote[143].end |
443.80971875 |
| transcript.pyannote[144].speaker |
SPEAKER_01 |
| transcript.pyannote[144].start |
444.65346875 |
| transcript.pyannote[144].end |
449.54721875 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
445.27784375 |
| transcript.pyannote[145].end |
446.57721875 |
| transcript.pyannote[146].speaker |
SPEAKER_01 |
| transcript.pyannote[146].start |
449.88471875 |
| transcript.pyannote[146].end |
450.05346875 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
450.05346875 |
| transcript.pyannote[147].end |
457.56284375 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
450.10409375 |
| transcript.pyannote[148].end |
450.27284375 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
453.31034375 |
| transcript.pyannote[149].end |
453.44534375 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
455.25096875 |
| transcript.pyannote[150].end |
455.57159375 |
| transcript.pyannote[151].speaker |
SPEAKER_00 |
| transcript.pyannote[151].start |
457.95096875 |
| transcript.pyannote[151].end |
457.96784375 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
457.96784375 |
| transcript.pyannote[152].end |
463.97534375 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
457.98471875 |
| transcript.pyannote[153].end |
458.40659375 |
| transcript.pyannote[154].speaker |
SPEAKER_00 |
| transcript.pyannote[154].start |
459.97596875 |
| transcript.pyannote[154].end |
460.06034375 |
| transcript.whisperx[0].start |
12.204 |
| transcript.whisperx[0].end |
15.794 |
| transcript.whisperx[0].text |
好謝謝主席我想要請楊總裁請楊總裁 |
| transcript.whisperx[1].start |
21.949 |
| transcript.whisperx[1].end |
43.603 |
| transcript.whisperx[1].text |
謝委員早楊總裁好我昨天要來我還特別去查了我不知道你們會做數字早知道我就叫你報告先給我看經濟成長數字你們會做那請問一下我看到了你們預估就是你們對於國內外機構都統計好了今年的數字經濟成長是5% |
| transcript.whisperx[2].start |
46.107 |
| transcript.whisperx[2].end |
51.69 |
| transcript.whisperx[2].text |
明年是2.36%平均的你覺得今年好就是因為搶單的問題對不對關稅美國關稅等等然後一些搶單的問題但是未來當關稅抵定之後明年的 |
| transcript.whisperx[3].start |
70.078 |
| transcript.whisperx[3].end |
91.848 |
| transcript.whisperx[3].text |
經濟數字有沒有辦法達到現在你們所預估的就是這樣子的一個2.36的平均值我想就是說我坦白跟委員報告在這一段川普的一個政策裡說實在的不確定性很高 |
| transcript.whisperx[4].start |
93.072 |
| transcript.whisperx[4].end |
121.145 |
| transcript.whisperx[4].text |
我所说的不确定性很高的意思是说要做一个很准确的一个预测不大容易不容易所以就说他的误差所以他的误差会很大我举一个例子给你听比如说一开始的时候那个川普他4月的时候那个时候你看看大家都说经济会很差哦大家都是说大概就是3%以下 |
| transcript.whisperx[5].start |
123.527 |
| transcript.whisperx[5].end |
147.98 |
| transcript.whisperx[5].text |
是不是因为他的对等关税即便增加了以后有非常多的是豁免以及例外是就不确定性嘛有些时候他又说这样有些时候又说这样所以对于台湾或者是对于美国有需要的商品他们就把它列为豁免或者是例外嘛 |
| transcript.whisperx[6].start |
149.34 |
| transcript.whisperx[6].end |
170.568 |
| transcript.whisperx[6].text |
台湾这一波里面当然有一些是因为抢单有一些是因为美国必须的可是明年呢有我们台湾的其他的财经的部会认为明年的数字绝对比2.36好你认为呢 |
| transcript.whisperx[7].start |
171.188 |
| transcript.whisperx[7].end |
181.033 |
| transcript.whisperx[7].text |
比這個2.3還好是不是對啊是有可能也有可能是真的我覺得就以前我們都說以為是拉貨效應到下半年的時候不是因為它對AI相關的電子資通訊的產品它的一個熱絡是真的好像是持續的而且 |
| transcript.whisperx[8].start |
195.539 |
| transcript.whisperx[8].end |
215.192 |
| transcript.whisperx[8].text |
為什麼很多機構都說明年也不悲觀就因為他認為說不定這個現象都會延續到明年我問你再請教你發現金我們11月就要發現金了發現金對於明年度整體的經濟成長 |
| transcript.whisperx[9].start |
217.866 |
| transcript.whisperx[9].end |
243.971 |
| transcript.whisperx[9].text |
我想发现金对我们的经济成长是有但是我们的经济成长不依赖这发1万块的现金我是说对于内需内需应该是会有帮助但是我认为不是说我们的经济成长就要依赖这个不是2023年的时候我们发的6000块对于经济成长的 |
| transcript.whisperx[10].start |
244.762 |
| transcript.whisperx[10].end |
269.856 |
| transcript.whisperx[10].text |
他有啦 有估計啦 0.15是不是有估計啦 這個估計說多少這個都是參考參考啦所以你不贊成發現金是不是發現金好啊 發現金好啊對每一個人好但是對整體來講的話他的幫助是不是真的是非常高這個有些時候還是不能很確定的啦 |
| transcript.whisperx[11].start |
270.691 |
| transcript.whisperx[11].end |
295.73 |
| transcript.whisperx[11].text |
好 我最後一個問題你說了要換新幣是不是未來2.5年未來的兩年內要換新幣在你任期結束前是不是是啦 應該啦我想請問大家都討論了是我們換新幣的這樣子的成本預估500億是不是沒有 |
| transcript.whisperx[12].start |
296.511 |
| transcript.whisperx[12].end |
298.273 |
| transcript.whisperx[12].text |
500億是以前的時候我們說連銅板都一直改版銅板的改版的成本非常高那時候大概預估銅板光是銅板就400多億 |
| transcript.whisperx[13].start |
314.226 |
| transcript.whisperx[13].end |
324.281 |
| transcript.whisperx[13].text |
我想要問你 是發行新幣時候我們政府部門對於所有用這個新鈔的人所謂的鑄幣稅 |
| transcript.whisperx[14].start |
327.028 |
| transcript.whisperx[14].end |
332.595 |
| transcript.whisperx[14].text |
就是政府不用透過舉債的方式我跟委員報告 |
| transcript.whisperx[15].start |
346.332 |
| transcript.whisperx[15].end |
353.356 |
| transcript.whisperx[15].text |
事實上我們新台幣的租幣稅很低不高我們不會中央銀行的賺錢很多都強調你說很低那為什麼你不換那個硬幣為什麼不換硬幣那就是因為 |
| transcript.whisperx[16].start |
365.683 |
| transcript.whisperx[16].end |
384.093 |
| transcript.whisperx[16].text |
2月10號的時候美國川普總統就說了他說他們再也不鑄造penny就是一分錢的硬幣了為什麼因為一分錢硬幣的成本多過於他們要鑄造一分錢沒有錯所以 |
| transcript.whisperx[17].start |
386.454 |
| transcript.whisperx[17].end |
415.259 |
| transcript.whisperx[17].text |
对于硬币来讲是不是你央行住硬币的成本高过于没有住币税所以你就不要住硬币了新的硬币硬币不住成本的考量这个是第一个第二个电子租户很多到最后他会把硬币慢慢的会把它淘汰掉还有双数字的就是2000元的或200元的这我们会考量 |
| transcript.whisperx[18].start |
415.999 |
| transcript.whisperx[18].end |
443.588 |
| transcript.whisperx[18].text |
为什么不做不是说不做我们现在预计是不是因为一般民众在算术上面来讲都是10进位不是20进位的是不是是不是对于这样子技术上面大家算术的应用上面不便利是不是我想这些我们都会考量委员的这些的建议还有你的想法我们都会列入记录 |
| transcript.whisperx[19].start |
444.69 |
| transcript.whisperx[19].end |
458.805 |
| transcript.whisperx[19].text |
都會列入紀錄喔不要藉由硬心操對民眾收取鑄幣稅這個鑄幣稅我剛才也跟委員報告鑄幣稅說實在是不大啦對中央銀行來講不是重點好的好謝謝我們謝謝謝一鋒委員總裁請回 |
| gazette.lineno |
1592 |
| gazette.blocks[0][0] |
謝委員衣鳯：（11時43分）謝謝主席，我想要請楊總裁。 |
| gazette.blocks[1][0] |
主席：好，請楊總裁。 |
| gazette.blocks[2][0] |
楊總裁金龍：謝委員早。 |
| gazette.blocks[3][0] |
謝委員衣鳯：楊總裁好。今天要來委員會前，我昨天還特別去查了，我不知道你們會做數字，早知道我就叫你報告先給我看。 |
| gazette.blocks[4][0] |
楊總裁金龍：什麼？ |
| gazette.blocks[5][0] |
謝委員衣鳯：就是你們會預估的經濟成長數字。總裁，我看了你們的預估，你們把國內外機構的預估都統計好了，認為今年的經濟成長數字是5%，明年是2.36%，是不是？ |
| gazette.blocks[6][0] |
楊總裁金龍：對，我們有平均數字。 |
| gazette.blocks[7][0] |
謝委員衣鳯：你覺得今年好是因為搶單的關係，對不對？因為美國關稅問題，然後有一些搶單的狀況。 |
| gazette.blocks[8][0] |
楊總裁金龍：是。 |
| gazette.blocks[9][0] |
謝委員衣鳯：未來當關稅底定之後，明年的經濟成長數字有沒有辦法達到現在你們所預估的2.36%這樣的平均值？ |
| gazette.blocks[10][0] |
楊總裁金龍：坦白跟委員報告，在這段時間，川普的政策說實在的不確定性很高，我所說的不確定性很高的意思是說，要做一個很準確的預測不大容易。 |
| gazette.blocks[11][0] |
謝委員衣鳯：不容易，對不對？ |
| gazette.blocks[12][0] |
楊總裁金龍：是不容易，也就是說，誤差會很大，我舉一個例子，譬如川普一開始在4月的時候，大家都說經濟會很差，大概會在3%以下…… |
| gazette.blocks[13][0] |
謝委員衣鳯：是不是因為他的對等關稅即便增加了，也有非常多的豁免以及例外，是不是？ |
| gazette.blocks[14][0] |
楊總裁金龍：是，就不確定性嘛！有些時候他說這樣、有些時候又說那樣…… |
| gazette.blocks[15][0] |
謝委員衣鳯：對於美國有需要的商品，他就把它列為豁免或者例外對象，是不是？ |
| gazette.blocks[16][0] |
楊總裁金龍：對。 |
| gazette.blocks[17][0] |
謝委員衣鳯：臺灣在這一波裡面，當然有一些是因為搶單關係，有一些是因為是美國必須的產品，是不是？ |
| gazette.blocks[18][0] |
楊總裁金龍：是，沒有錯。 |
| gazette.blocks[19][0] |
謝委員衣鳯：可是明年呢？我們臺灣其他財經部會都認為明年的數字絕對比2.36%好，你認為呢？ |
| gazette.blocks[20][0] |
楊總裁金龍：比這個2.3%還好，是不是？ |
| gazette.blocks[21][0] |
謝委員衣鳯：對啊！這個我當然要問你啊！ |
| gazette.blocks[22][0] |
楊總裁金龍：喔！也有可能，也有可能喔！ |
| gazette.blocks[23][0] |
謝委員衣鳯：你也覺得有可能？ |
| gazette.blocks[24][0] |
楊總裁金龍：是、是，真的，以前我們都覺得是拉貨效應，但到下半年，卻發現不是，因為AI相關資通訊產品的熱絡好像真的是持續的，而且很多機構也都認為說不定這個現象會延續到明年，所以對明年並不感到悲觀。 |
| gazette.blocks[25][0] |
謝委員衣鳯：那我再請教你，發現金呢？我們11月就要發現金了，發現金對明年度整體的經濟成長，你覺得…… |
| gazette.blocks[26][0] |
楊總裁金龍：我想發現金對…… |
| gazette.blocks[27][0] |
謝委員衣鳯：過去2023年我們也有發過…… |
| gazette.blocks[28][0] |
楊總裁金龍：發現金對我們的經濟成長是有，但是我們的經濟成長不依賴發1萬塊的現金。 |
| gazette.blocks[29][0] |
謝委員衣鳯：我是說對於內需？ |
| gazette.blocks[30][0] |
楊總裁金龍：內需應該是會有幫助，但是我不認為我們的經濟成長要依賴這個，不是。 |
| gazette.blocks[31][0] |
謝委員衣鳯：2023年我們發了6,000元，對於經濟成長的刺激…… |
| gazette.blocks[32][0] |
楊總裁金龍：有啦！有估計啦！ |
| gazette.blocks[33][0] |
謝委員衣鳯：0.15%是不是？ |
| gazette.blocks[34][0] |
楊總裁金龍：有估計啦！這個…… |
| gazette.blocks[35][0] |
謝委員衣鳯：大概多少？ |
| gazette.blocks[36][0] |
楊總裁金龍：估計多少，這個都不大那個……這都是參考、參考，也不必…… |
| gazette.blocks[37][0] |
謝委員衣鳯：所以你不贊成發現金，是不是？ |
| gazette.blocks[38][0] |
楊總裁金龍：什麼？ |
| gazette.blocks[39][0] |
謝委員衣鳯：你不贊成發現金？ |
| gazette.blocks[40][0] |
楊總裁金龍：發現金好啊！發現金好啊！對每一個人都好，但整體來講，它的幫助是不是真的非常高，有些時候還是不能很確定。 |
| gazette.blocks[41][0] |
謝委員衣鳯：好，最後一個問題，你說要換新幣，是不是？ |
| gazette.blocks[42][0] |
楊總裁金龍：是。 |
| gazette.blocks[43][0] |
謝委員衣鳯：未來兩年內要換新幣，就是在你任期結束前，是不是？ |
| gazette.blocks[44][0] |
楊總裁金龍：是，應該啦！ |
| gazette.blocks[45][0] |
謝委員衣鳯：大家都在討論換新幣的成本，預估要花500億，是不是？ |
| gazette.blocks[46][0] |
楊總裁金龍：沒有，500億是以前連銅板都要一起改版的時候，因為銅板改版的成本非常高，那時候預估光銅板改版就要四百多億。 |
| gazette.blocks[47][0] |
謝委員衣鳯：發行新幣時候，政府部門對於所有用新鈔的人都會收取所謂的鑄幣稅，就是政府不用透過舉債方式，而是透過印新幣來對於所有使用這個貨幣的人收取鑄幣稅。 |
| gazette.blocks[48][0] |
楊總裁金龍：跟委員報告，事實上新臺幣的鑄幣稅很低，不高…… |
| gazette.blocks[49][0] |
謝委員衣鳯：很低？ |
| gazette.blocks[50][0] |
楊總裁金龍：不會是中央銀行賺錢，很多都強調…… |
| gazette.blocks[51][0] |
謝委員衣鳯：為什麼？你說很低，那為什麼不換硬幣？為什麼不換硬幣，是因為2月10號時，美國川普總統就說他們再也不鑄造penny（一分錢）硬幣，因為一分錢硬幣的成本多過於他們要鑄造的一分錢，是不是？ |
| gazette.blocks[52][0] |
楊總裁金龍：沒有錯、沒有錯，事實上我們也是這樣。 |
| gazette.blocks[53][0] |
謝委員衣鳯：所以對於硬幣來講，央行鑄硬幣的成本高過於……沒有鑄幣稅，所以你們就不鑄新的硬幣，是不是？ |
| gazette.blocks[54][0] |
楊總裁金龍：硬幣不鑄第一個是成本考量；第二個，現在電子支付很多，到最後會把硬幣慢慢淘汰掉，最主要是在這裡。 |
| gazette.blocks[55][0] |
謝委員衣鳯：還有雙數字的貨幣，就是2,000元或200元的紙鈔…… |
| gazette.blocks[56][0] |
楊總裁金龍：這個我們會考量。 |
| gazette.blocks[57][0] |
謝委員衣鳯：為什麼不做？ |
| gazette.blocks[58][0] |
楊總裁金龍：不是說不做，我們現在預計…… |
| gazette.blocks[59][0] |
謝委員衣鳯：是不是因為一般民眾在算術上都是10進位嘛！不是20進位的嘛！是不是？ |
| gazette.blocks[60][0] |
楊總裁金龍：是。 |
| gazette.blocks[61][0] |
謝委員衣鳯：在技術面，這樣讓大家在算術的應用上不便利，是不是？ |
| gazette.blocks[62][0] |
楊總裁金龍：我想這些我們都會考量，委員的這些建議，還有你的想法，我們都會列入紀錄。 |
| gazette.blocks[63][0] |
謝委員衣鳯：都會列入紀錄？ |
| gazette.blocks[64][0] |
楊總裁金龍：我們會列入紀錄。 |
| gazette.blocks[65][0] |
謝委員衣鳯：不要藉由印新鈔對民眾收取鑄幣稅，好不好？ |
| gazette.blocks[66][0] |
楊總裁金龍：鑄幣稅我剛才也跟委員報告，鑄幣稅說實在是不大啦！對中央銀行來講不是重點。 |
| gazette.blocks[67][0] |
謝委員衣鳯：好，謝謝。 |
| gazette.blocks[68][0] |
主席：我們謝謝謝衣鳯委員，總裁請回。 |
| gazette.blocks[68][1] |
接下來我們請楊瓊瓔委員、楊瓊瓔委員，楊瓊瓔委員不在。 |
| gazette.blocks[68][2] |
接下來請鄭正鈐委員、鄭正鈐委員，鄭正鈐委員不在。 |
| gazette.blocks[68][3] |
我們接著請張嘉郡委員、張嘉郡委員，張嘉郡委員不在。 |
| gazette.blocks[68][4] |
接下來請邱志偉委員質詢。 |
| gazette.agenda.page_end |
150 |
| gazette.agenda.meet_id |
委員會-11-4-20-4 |
| gazette.agenda.speakers[0] |
林思銘 |
| gazette.agenda.speakers[1] |
林德福 |
| gazette.agenda.speakers[2] |
吳秉叡 |
| gazette.agenda.speakers[3] |
賴士葆 |
| gazette.agenda.speakers[4] |
郭國文 |
| gazette.agenda.speakers[5] |
賴惠員 |
| gazette.agenda.speakers[6] |
李彥秀 |
| gazette.agenda.speakers[7] |
李坤城 |
| gazette.agenda.speakers[8] |
鍾佳濱 |
| gazette.agenda.speakers[9] |
黃珊珊 |
| gazette.agenda.speakers[10] |
王世堅 |
| gazette.agenda.speakers[11] |
陳玉珍 |
| gazette.agenda.speakers[12] |
葉元之 |
| gazette.agenda.speakers[13] |
謝衣鳯 |
| gazette.agenda.speakers[14] |
邱志偉 |
| gazette.agenda.speakers[15] |
葛如鈞 |
| gazette.agenda.speakers[16] |
羅明才 |
| gazette.agenda.page_start |
61 |
| gazette.agenda.meetingDate[0] |
2025-10-23 |
| gazette.agenda.gazette_id |
1148901 |
| gazette.agenda.agenda_lcidc_ids[0] |
1148901_00003 |
| gazette.agenda.meet_name |
立法院第11屆第4會期財政委員會第4次全體委員會議紀錄 |
| gazette.agenda.content |
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 |
| gazette.agenda.agenda_id |
1148901_00002 |