IVOD_ID |
160132 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160132 |
日期 |
2025-04-11 |
會議資料.會議代碼 |
院會-11-3-7 |
會議資料.會議代碼:str |
第11屆第3會期第7次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
7 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第7次會議 |
影片種類 |
Clip |
開始時間 |
2025-04-11T17:32:31+08:00 |
結束時間 |
2025-04-11T17:47:33+08:00 |
影片長度 |
00:15:02 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/612fb6649aede235beecb43d8454de4f4ee85e61fece82c2d9574523edc1765d07496cb2378364c25ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
謝衣鳯 |
委員發言時間 |
17:32:31 - 17:47:33 |
會議時間 |
2025-04-11T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第7次會議(事由:一、覆議案之處理事項(4月11日上午)。二、行政院院長提出針對美國關稅政策因應作為專案報告並備質詢(4月11日下午)。三、對行政院院長提出施政方針及施政報告繼續質詢(4月15日)。四、4月11日上午9時至10時為國是論壇時間。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
4.35096875 |
transcript.pyannote[0].end |
6.88221875 |
transcript.pyannote[1].speaker |
SPEAKER_05 |
transcript.pyannote[1].start |
7.25346875 |
transcript.pyannote[1].end |
8.58659375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
17.80034375 |
transcript.pyannote[2].end |
18.66096875 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
18.07034375 |
transcript.pyannote[3].end |
18.79596875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
19.87596875 |
transcript.pyannote[4].end |
20.70284375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
21.46221875 |
transcript.pyannote[5].end |
30.35534375 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
30.70971875 |
transcript.pyannote[6].end |
31.78971875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
31.85721875 |
transcript.pyannote[7].end |
36.07596875 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
36.56534375 |
transcript.pyannote[8].end |
43.21409375 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
43.65284375 |
transcript.pyannote[9].end |
44.12534375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
44.37846875 |
transcript.pyannote[10].end |
50.63909375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
51.60096875 |
transcript.pyannote[11].end |
55.06034375 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
51.61784375 |
transcript.pyannote[12].end |
52.24221875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
52.24221875 |
transcript.pyannote[13].end |
52.25909375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
55.70159375 |
transcript.pyannote[14].end |
56.89971875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
57.32159375 |
transcript.pyannote[15].end |
58.63784375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
58.95846875 |
transcript.pyannote[16].end |
59.93721875 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
59.05971875 |
transcript.pyannote[17].end |
59.27909375 |
transcript.pyannote[18].speaker |
SPEAKER_03 |
transcript.pyannote[18].start |
59.93721875 |
transcript.pyannote[18].end |
60.96659375 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
61.21971875 |
transcript.pyannote[19].end |
61.89471875 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
62.73846875 |
transcript.pyannote[20].end |
64.51034375 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
64.54409375 |
transcript.pyannote[21].end |
69.03284375 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
69.21846875 |
transcript.pyannote[22].end |
71.20971875 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
71.51346875 |
transcript.pyannote[23].end |
72.88034375 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
73.18409375 |
transcript.pyannote[24].end |
75.58034375 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
75.88409375 |
transcript.pyannote[25].end |
76.98096875 |
transcript.pyannote[26].speaker |
SPEAKER_03 |
transcript.pyannote[26].start |
77.08221875 |
transcript.pyannote[26].end |
79.78221875 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
79.96784375 |
transcript.pyannote[27].end |
81.53721875 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
81.72284375 |
transcript.pyannote[28].end |
84.18659375 |
transcript.pyannote[29].speaker |
SPEAKER_03 |
transcript.pyannote[29].start |
84.37221875 |
transcript.pyannote[29].end |
84.77721875 |
transcript.pyannote[30].speaker |
SPEAKER_03 |
transcript.pyannote[30].start |
85.28346875 |
transcript.pyannote[30].end |
87.73034375 |
transcript.pyannote[31].speaker |
SPEAKER_03 |
transcript.pyannote[31].start |
87.88221875 |
transcript.pyannote[31].end |
88.67534375 |
transcript.pyannote[32].speaker |
SPEAKER_03 |
transcript.pyannote[32].start |
89.40096875 |
transcript.pyannote[32].end |
91.30784375 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
91.56096875 |
transcript.pyannote[33].end |
93.07971875 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
93.45096875 |
transcript.pyannote[34].end |
95.05409375 |
transcript.pyannote[35].speaker |
SPEAKER_03 |
transcript.pyannote[35].start |
95.39159375 |
transcript.pyannote[35].end |
99.49221875 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
99.76221875 |
transcript.pyannote[36].end |
102.00659375 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
102.22596875 |
transcript.pyannote[37].end |
106.02284375 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
106.49534375 |
transcript.pyannote[38].end |
125.00721875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
125.00721875 |
transcript.pyannote[39].end |
133.68096875 |
transcript.pyannote[40].speaker |
SPEAKER_03 |
transcript.pyannote[40].start |
133.61346875 |
transcript.pyannote[40].end |
134.40659375 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
133.76534375 |
transcript.pyannote[41].end |
138.57471875 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
138.60846875 |
transcript.pyannote[42].end |
142.40534375 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
142.74284375 |
transcript.pyannote[43].end |
144.51471875 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
142.81034375 |
transcript.pyannote[44].end |
143.09721875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
144.83534375 |
transcript.pyannote[45].end |
155.60159375 |
transcript.pyannote[46].speaker |
SPEAKER_03 |
transcript.pyannote[46].start |
155.60159375 |
transcript.pyannote[46].end |
162.77346875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
160.96784375 |
transcript.pyannote[47].end |
166.08096875 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
164.88284375 |
transcript.pyannote[48].end |
170.02971875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
170.14784375 |
transcript.pyannote[49].end |
170.48534375 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
170.48534375 |
transcript.pyannote[50].end |
172.18971875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
170.51909375 |
transcript.pyannote[51].end |
170.56971875 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
172.30784375 |
transcript.pyannote[52].end |
173.06721875 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
173.40471875 |
transcript.pyannote[53].end |
176.44221875 |
transcript.pyannote[54].speaker |
SPEAKER_03 |
transcript.pyannote[54].start |
176.76284375 |
transcript.pyannote[54].end |
178.23096875 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
178.72034375 |
transcript.pyannote[55].end |
186.95534375 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
188.00159375 |
transcript.pyannote[56].end |
189.45284375 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
189.90846875 |
transcript.pyannote[57].end |
191.39346875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
189.92534375 |
transcript.pyannote[58].end |
192.40596875 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
192.05159375 |
transcript.pyannote[59].end |
195.91596875 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
194.73471875 |
transcript.pyannote[60].end |
198.02534375 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
198.02534375 |
transcript.pyannote[61].end |
202.66596875 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
198.07596875 |
transcript.pyannote[62].end |
198.44721875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
200.79284375 |
transcript.pyannote[63].end |
202.12596875 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
203.12159375 |
transcript.pyannote[64].end |
204.89346875 |
transcript.pyannote[65].speaker |
SPEAKER_03 |
transcript.pyannote[65].start |
204.53909375 |
transcript.pyannote[65].end |
204.92721875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
204.92721875 |
transcript.pyannote[66].end |
209.33159375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
209.66909375 |
transcript.pyannote[67].end |
224.13096875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
224.87346875 |
transcript.pyannote[68].end |
233.09159375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
233.41221875 |
transcript.pyannote[69].end |
235.18409375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
235.43721875 |
transcript.pyannote[70].end |
236.19659375 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
236.66909375 |
transcript.pyannote[71].end |
237.44534375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
237.61409375 |
transcript.pyannote[72].end |
238.27221875 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
239.04846875 |
transcript.pyannote[73].end |
241.34346875 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
241.56284375 |
transcript.pyannote[74].end |
244.83659375 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
245.20784375 |
transcript.pyannote[75].end |
246.11909375 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
250.11846875 |
transcript.pyannote[76].end |
250.97909375 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
251.19846875 |
transcript.pyannote[77].end |
251.82284375 |
transcript.pyannote[78].speaker |
SPEAKER_03 |
transcript.pyannote[78].start |
252.49784375 |
transcript.pyannote[78].end |
254.79284375 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
254.82659375 |
transcript.pyannote[79].end |
258.15096875 |
transcript.pyannote[80].speaker |
SPEAKER_03 |
transcript.pyannote[80].start |
258.55596875 |
transcript.pyannote[80].end |
261.57659375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
261.82971875 |
transcript.pyannote[81].end |
273.28784375 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
262.03221875 |
transcript.pyannote[82].end |
263.11221875 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
272.73096875 |
transcript.pyannote[83].end |
276.96659375 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
277.38846875 |
transcript.pyannote[84].end |
281.64096875 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
282.24846875 |
transcript.pyannote[85].end |
283.04159375 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
282.24846875 |
transcript.pyannote[86].end |
283.14284375 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
283.14284375 |
transcript.pyannote[87].end |
284.20596875 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
283.15971875 |
transcript.pyannote[88].end |
283.71659375 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
284.10471875 |
transcript.pyannote[89].end |
284.40846875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
284.40846875 |
transcript.pyannote[90].end |
285.75846875 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
285.47159375 |
transcript.pyannote[91].end |
289.99409375 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
287.20971875 |
transcript.pyannote[92].end |
288.03659375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
288.10409375 |
transcript.pyannote[93].end |
288.96471875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
288.96471875 |
transcript.pyannote[94].end |
289.69034375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
289.99409375 |
transcript.pyannote[95].end |
291.24284375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
291.24284375 |
transcript.pyannote[96].end |
321.85409375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
301.50284375 |
transcript.pyannote[97].end |
302.68409375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
314.12534375 |
transcript.pyannote[98].end |
315.49221875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
319.62659375 |
transcript.pyannote[99].end |
326.68034375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
326.86596875 |
transcript.pyannote[100].end |
332.29971875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
332.68784375 |
transcript.pyannote[101].end |
347.90909375 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
348.61784375 |
transcript.pyannote[102].end |
349.41096875 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
349.84971875 |
transcript.pyannote[103].end |
351.73971875 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
352.14471875 |
transcript.pyannote[104].end |
357.73034375 |
transcript.pyannote[105].speaker |
SPEAKER_05 |
transcript.pyannote[105].start |
356.49846875 |
transcript.pyannote[105].end |
356.71784375 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
356.71784375 |
transcript.pyannote[106].end |
356.78534375 |
transcript.pyannote[107].speaker |
SPEAKER_05 |
transcript.pyannote[107].start |
356.78534375 |
transcript.pyannote[107].end |
356.80221875 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
356.80221875 |
transcript.pyannote[108].end |
357.67971875 |
transcript.pyannote[109].speaker |
SPEAKER_05 |
transcript.pyannote[109].start |
357.67971875 |
transcript.pyannote[109].end |
359.02971875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
357.73034375 |
transcript.pyannote[110].end |
357.74721875 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
358.18596875 |
transcript.pyannote[111].end |
358.27034375 |
transcript.pyannote[112].speaker |
SPEAKER_05 |
transcript.pyannote[112].start |
359.89034375 |
transcript.pyannote[112].end |
361.67909375 |
transcript.pyannote[113].speaker |
SPEAKER_05 |
transcript.pyannote[113].start |
361.71284375 |
transcript.pyannote[113].end |
362.16846875 |
transcript.pyannote[114].speaker |
SPEAKER_05 |
transcript.pyannote[114].start |
362.25284375 |
transcript.pyannote[114].end |
364.93596875 |
transcript.pyannote[115].speaker |
SPEAKER_05 |
transcript.pyannote[115].start |
365.37471875 |
transcript.pyannote[115].end |
368.78346875 |
transcript.pyannote[116].speaker |
SPEAKER_05 |
transcript.pyannote[116].start |
369.01971875 |
transcript.pyannote[116].end |
373.52534375 |
transcript.pyannote[117].speaker |
SPEAKER_05 |
transcript.pyannote[117].start |
373.79534375 |
transcript.pyannote[117].end |
377.40659375 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
375.68534375 |
transcript.pyannote[118].end |
376.10721875 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
377.28846875 |
transcript.pyannote[119].end |
384.74721875 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
385.01721875 |
transcript.pyannote[120].end |
390.31596875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
390.45096875 |
transcript.pyannote[121].end |
392.86409375 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
393.97784375 |
transcript.pyannote[122].end |
395.83409375 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
396.42471875 |
transcript.pyannote[123].end |
399.78284375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
400.32284375 |
transcript.pyannote[124].end |
404.20409375 |
transcript.pyannote[125].speaker |
SPEAKER_05 |
transcript.pyannote[125].start |
405.11534375 |
transcript.pyannote[125].end |
407.00534375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
407.54534375 |
transcript.pyannote[126].end |
410.56596875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
410.97096875 |
transcript.pyannote[127].end |
413.06346875 |
transcript.pyannote[128].speaker |
SPEAKER_05 |
transcript.pyannote[128].start |
412.84409375 |
transcript.pyannote[128].end |
412.92846875 |
transcript.pyannote[129].speaker |
SPEAKER_05 |
transcript.pyannote[129].start |
413.06346875 |
transcript.pyannote[129].end |
413.51909375 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
413.78909375 |
transcript.pyannote[130].end |
421.97346875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
422.61471875 |
transcript.pyannote[131].end |
423.23909375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
423.59346875 |
transcript.pyannote[132].end |
428.48721875 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
429.19596875 |
transcript.pyannote[133].end |
445.59846875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
447.50534375 |
transcript.pyannote[134].end |
459.06471875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
447.53909375 |
transcript.pyannote[135].end |
447.94409375 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
453.07409375 |
transcript.pyannote[136].end |
453.46221875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
459.36846875 |
transcript.pyannote[137].end |
464.26221875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
464.75159375 |
transcript.pyannote[138].end |
472.83471875 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
472.90221875 |
transcript.pyannote[139].end |
479.19659375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
475.18034375 |
transcript.pyannote[140].end |
476.20971875 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
479.50034375 |
transcript.pyannote[141].end |
497.08409375 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
498.41721875 |
transcript.pyannote[142].end |
498.63659375 |
transcript.pyannote[143].speaker |
SPEAKER_03 |
transcript.pyannote[143].start |
498.80534375 |
transcript.pyannote[143].end |
501.58971875 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
502.04534375 |
transcript.pyannote[144].end |
506.14596875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
503.71596875 |
transcript.pyannote[145].end |
516.52409375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
517.51971875 |
transcript.pyannote[146].end |
523.42596875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
523.66221875 |
transcript.pyannote[147].end |
532.04909375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
532.60596875 |
transcript.pyannote[148].end |
539.67659375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
540.73971875 |
transcript.pyannote[149].end |
543.45659375 |
transcript.pyannote[150].speaker |
SPEAKER_05 |
transcript.pyannote[150].start |
541.73534375 |
transcript.pyannote[150].end |
541.76909375 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
541.76909375 |
transcript.pyannote[151].end |
541.80284375 |
transcript.pyannote[152].speaker |
SPEAKER_05 |
transcript.pyannote[152].start |
541.80284375 |
transcript.pyannote[152].end |
541.92096875 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
541.92096875 |
transcript.pyannote[153].end |
541.98846875 |
transcript.pyannote[154].speaker |
SPEAKER_03 |
transcript.pyannote[154].start |
543.32159375 |
transcript.pyannote[154].end |
543.40596875 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
543.45659375 |
transcript.pyannote[155].end |
543.47346875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
543.92909375 |
transcript.pyannote[156].end |
545.29596875 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
544.95846875 |
transcript.pyannote[157].end |
550.17284375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
550.61159375 |
transcript.pyannote[158].end |
552.80534375 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
552.95721875 |
transcript.pyannote[159].end |
555.38721875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
554.57721875 |
transcript.pyannote[160].end |
555.30284375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
555.65721875 |
transcript.pyannote[161].end |
578.45534375 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
578.55659375 |
transcript.pyannote[162].end |
579.11346875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
579.29909375 |
transcript.pyannote[163].end |
581.94846875 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
582.48846875 |
transcript.pyannote[164].end |
584.36159375 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
584.85096875 |
transcript.pyannote[165].end |
586.01534375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
586.38659375 |
transcript.pyannote[166].end |
590.40284375 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
591.38159375 |
transcript.pyannote[167].end |
591.97221875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
592.25909375 |
transcript.pyannote[168].end |
593.50784375 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
593.72721875 |
transcript.pyannote[169].end |
603.41346875 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
604.03784375 |
transcript.pyannote[170].end |
607.27784375 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
607.83471875 |
transcript.pyannote[171].end |
611.81721875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
612.25596875 |
transcript.pyannote[172].end |
618.65159375 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
619.42784375 |
transcript.pyannote[173].end |
629.09721875 |
transcript.pyannote[174].speaker |
SPEAKER_04 |
transcript.pyannote[174].start |
629.51909375 |
transcript.pyannote[174].end |
632.82659375 |
transcript.pyannote[175].speaker |
SPEAKER_04 |
transcript.pyannote[175].start |
633.23159375 |
transcript.pyannote[175].end |
634.26096875 |
transcript.pyannote[176].speaker |
SPEAKER_04 |
transcript.pyannote[176].start |
634.49721875 |
transcript.pyannote[176].end |
635.32409375 |
transcript.pyannote[177].speaker |
SPEAKER_04 |
transcript.pyannote[177].start |
635.98221875 |
transcript.pyannote[177].end |
637.31534375 |
transcript.pyannote[178].speaker |
SPEAKER_04 |
transcript.pyannote[178].start |
637.55159375 |
transcript.pyannote[178].end |
641.68596875 |
transcript.pyannote[179].speaker |
SPEAKER_04 |
transcript.pyannote[179].start |
642.02346875 |
transcript.pyannote[179].end |
645.14534375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
642.09096875 |
transcript.pyannote[180].end |
642.54659375 |
transcript.pyannote[181].speaker |
SPEAKER_04 |
transcript.pyannote[181].start |
645.26346875 |
transcript.pyannote[181].end |
653.46471875 |
transcript.pyannote[182].speaker |
SPEAKER_04 |
transcript.pyannote[182].start |
653.61659375 |
transcript.pyannote[182].end |
666.71159375 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
667.23471875 |
transcript.pyannote[183].end |
667.62284375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
667.84221875 |
transcript.pyannote[184].end |
668.02784375 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
668.21346875 |
transcript.pyannote[185].end |
677.95034375 |
transcript.pyannote[186].speaker |
SPEAKER_04 |
transcript.pyannote[186].start |
675.85784375 |
transcript.pyannote[186].end |
682.97909375 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
682.54034375 |
transcript.pyannote[187].end |
684.37971875 |
transcript.pyannote[188].speaker |
SPEAKER_04 |
transcript.pyannote[188].start |
683.60346875 |
transcript.pyannote[188].end |
703.81971875 |
transcript.pyannote[189].speaker |
SPEAKER_04 |
transcript.pyannote[189].start |
704.62971875 |
transcript.pyannote[189].end |
709.33784375 |
transcript.pyannote[190].speaker |
SPEAKER_04 |
transcript.pyannote[190].start |
710.02971875 |
transcript.pyannote[190].end |
713.94471875 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
714.58596875 |
transcript.pyannote[191].end |
726.90471875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
723.36096875 |
transcript.pyannote[192].end |
723.61409375 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
726.95534375 |
transcript.pyannote[193].end |
728.74409375 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
729.26721875 |
transcript.pyannote[194].end |
733.36784375 |
transcript.pyannote[195].speaker |
SPEAKER_04 |
transcript.pyannote[195].start |
734.14409375 |
transcript.pyannote[195].end |
750.20909375 |
transcript.pyannote[196].speaker |
SPEAKER_04 |
transcript.pyannote[196].start |
750.61409375 |
transcript.pyannote[196].end |
759.43971875 |
transcript.pyannote[197].speaker |
SPEAKER_04 |
transcript.pyannote[197].start |
759.74346875 |
transcript.pyannote[197].end |
767.96159375 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
768.26534375 |
transcript.pyannote[198].end |
769.46346875 |
transcript.pyannote[199].speaker |
SPEAKER_04 |
transcript.pyannote[199].start |
770.00346875 |
transcript.pyannote[199].end |
770.25659375 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
770.34096875 |
transcript.pyannote[200].end |
782.67659375 |
transcript.pyannote[201].speaker |
SPEAKER_04 |
transcript.pyannote[201].start |
771.16784375 |
transcript.pyannote[201].end |
774.15471875 |
transcript.pyannote[202].speaker |
SPEAKER_04 |
transcript.pyannote[202].start |
775.55534375 |
transcript.pyannote[202].end |
777.85034375 |
transcript.pyannote[203].speaker |
SPEAKER_04 |
transcript.pyannote[203].start |
778.87971875 |
transcript.pyannote[203].end |
782.05221875 |
transcript.pyannote[204].speaker |
SPEAKER_04 |
transcript.pyannote[204].start |
782.67659375 |
transcript.pyannote[204].end |
785.89971875 |
transcript.pyannote[205].speaker |
SPEAKER_04 |
transcript.pyannote[205].start |
786.18659375 |
transcript.pyannote[205].end |
790.43909375 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
790.77659375 |
transcript.pyannote[206].end |
792.10971875 |
transcript.pyannote[207].speaker |
SPEAKER_04 |
transcript.pyannote[207].start |
792.10971875 |
transcript.pyannote[207].end |
793.18971875 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
792.26159375 |
transcript.pyannote[208].end |
794.11784375 |
transcript.pyannote[209].speaker |
SPEAKER_04 |
transcript.pyannote[209].start |
794.06721875 |
transcript.pyannote[209].end |
795.34971875 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
795.50159375 |
transcript.pyannote[210].end |
797.86409375 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
798.21846875 |
transcript.pyannote[211].end |
817.11846875 |
transcript.pyannote[212].speaker |
SPEAKER_04 |
transcript.pyannote[212].start |
815.29596875 |
transcript.pyannote[212].end |
815.58284375 |
transcript.pyannote[213].speaker |
SPEAKER_04 |
transcript.pyannote[213].start |
817.16909375 |
transcript.pyannote[213].end |
828.42471875 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
827.78346875 |
transcript.pyannote[214].end |
827.83409375 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
828.18846875 |
transcript.pyannote[215].end |
831.47909375 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
831.91784375 |
transcript.pyannote[216].end |
838.51596875 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
839.19096875 |
transcript.pyannote[217].end |
844.28721875 |
transcript.pyannote[218].speaker |
SPEAKER_02 |
transcript.pyannote[218].start |
844.91159375 |
transcript.pyannote[218].end |
857.41596875 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
857.50034375 |
transcript.pyannote[219].end |
862.64721875 |
transcript.pyannote[220].speaker |
SPEAKER_03 |
transcript.pyannote[220].start |
863.15346875 |
transcript.pyannote[220].end |
864.94221875 |
transcript.pyannote[221].speaker |
SPEAKER_03 |
transcript.pyannote[221].start |
865.11096875 |
transcript.pyannote[221].end |
866.34284375 |
transcript.pyannote[222].speaker |
SPEAKER_03 |
transcript.pyannote[222].start |
866.52846875 |
transcript.pyannote[222].end |
869.21159375 |
transcript.pyannote[223].speaker |
SPEAKER_03 |
transcript.pyannote[223].start |
869.26221875 |
transcript.pyannote[223].end |
870.54471875 |
transcript.pyannote[224].speaker |
SPEAKER_03 |
transcript.pyannote[224].start |
870.81471875 |
transcript.pyannote[224].end |
877.71659375 |
transcript.pyannote[225].speaker |
SPEAKER_03 |
transcript.pyannote[225].start |
877.83471875 |
transcript.pyannote[225].end |
879.18471875 |
transcript.pyannote[226].speaker |
SPEAKER_03 |
transcript.pyannote[226].start |
879.74159375 |
transcript.pyannote[226].end |
885.54659375 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
884.43284375 |
transcript.pyannote[227].end |
889.09034375 |
transcript.pyannote[228].speaker |
SPEAKER_03 |
transcript.pyannote[228].start |
888.65159375 |
transcript.pyannote[228].end |
890.11971875 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
889.81596875 |
transcript.pyannote[229].end |
893.81534375 |
transcript.pyannote[230].speaker |
SPEAKER_03 |
transcript.pyannote[230].start |
892.93784375 |
transcript.pyannote[230].end |
895.48596875 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
894.45659375 |
transcript.pyannote[231].end |
897.05534375 |
transcript.pyannote[232].speaker |
SPEAKER_03 |
transcript.pyannote[232].start |
897.13971875 |
transcript.pyannote[232].end |
898.47284375 |
transcript.pyannote[233].speaker |
SPEAKER_03 |
transcript.pyannote[233].start |
899.21534375 |
transcript.pyannote[233].end |
899.97471875 |
transcript.pyannote[234].speaker |
SPEAKER_03 |
transcript.pyannote[234].start |
900.14346875 |
transcript.pyannote[234].end |
901.96596875 |
transcript.pyannote[235].speaker |
SPEAKER_05 |
transcript.pyannote[235].start |
901.96596875 |
transcript.pyannote[235].end |
902.42159375 |
transcript.whisperx[0].start |
4.758 |
transcript.whisperx[0].end |
8.003 |
transcript.whisperx[0].text |
謝謝副院長,我想要請卓院長卓院長好 |
transcript.whisperx[1].start |
19.895 |
transcript.whisperx[1].end |
42.237 |
transcript.whisperx[1].text |
我相信這一次的美國對等關稅這樣子的即便現在已經延長90天我想不只是只有台灣對於所有我們的競爭對手或者是我們其他周邊的國家而言都是非常重大的一個議題你認同嗎 |
transcript.whisperx[2].start |
43.738 |
transcript.whisperx[2].end |
61.546 |
transcript.whisperx[2].text |
是的未來我們即將要去對美方來談判了你有沒有信心你有沒有信心為台灣爭取最大的這樣子一個目標你的目標是什麼我們從去年成立 |
transcript.whisperx[3].start |
63.356 |
transcript.whisperx[3].end |
85.662 |
transcript.whisperx[3].text |
經濟外交工作小組所鎖定的是未來整個世界經貿情勢秩序的大變動因為在去年11月又成立了台美經貿專案小組就是準備在當美國政策又發生大的改變的時候我們能夠在最短的時間內能夠調適回來所以這個準備是長期的其中包括對美的採購對美的投資以及現在因應這個關稅的變化這個都是在 |
transcript.whisperx[4].start |
89.614 |
transcript.whisperx[4].end |
115.13 |
transcript.whisperx[4].text |
預期當中可能發生的那我們一定要等到一個情勢具體出來一些我們會做適度的研判分析以及整個涉算像這次關稅就這樣子為什麼我們4月3號沒有辦法第一時間因為第一4月3號我們算的那個試算是在10%到20%20%到30%結果它跑到32%那就不是算數等級的那必須往上加 堆加我們整個產業受損受困的這個狀況 |
transcript.whisperx[5].start |
116.01 |
transcript.whisperx[5].end |
143.26 |
transcript.whisperx[5].text |
所以我們延了一天就是把整個支持方案升級之後才向國能做報告表示我們是有準備但隨著情勢是機動性在調整對我問的是你的目標是什麼未來那都已經過去的但是你未來我們談判的整體的目標是什麼以及怎麼樣子減少對台灣產業的衝擊是不是終極的目標就是爭取國家最大的利益維持產業的國際競爭力 |
transcript.whisperx[6].start |
144.861 |
transcript.whisperx[6].end |
172.903 |
transcript.whisperx[6].text |
那對於國家最大的利益不是關稅嗎我們希望關稅能夠比韓國比日本還要低啊這是我們主要競爭的國家嘛 是不是是關稅的比較不是直接面對面而是跟我們鄰近競爭對手的比較那這是大家會心裡產業有相關的競爭性的嘛 是不是那這次大家心裡壓力大是因為包括韓國包括日本都比我們低啊所以大家的心裡壓力就會大我們期待 |
transcript.whisperx[7].start |
173.462 |
transcript.whisperx[7].end |
189.243 |
transcript.whisperx[7].text |
透過合理的談判之後我們能夠爭取到公平的關稅待遇我當然知道要透過談判那我是說你有沒有設定我們有沒有機會比日本比韓國低我們在努力就是這個方向 |
transcript.whisperx[8].start |
190.624 |
transcript.whisperx[8].end |
208.846 |
transcript.whisperx[8].text |
有沒有 你要有信心啊每個國家都死書渾身解數啊你都沒信心了當然對我們的談判代表有信心對談判代表有信心是不是那你明天就要去彰化了我要問你的是 |
transcript.whisperx[9].start |
209.767 |
transcript.whisperx[9].end |
237.118 |
transcript.whisperx[9].text |
對於行政院所提出的880億那我們去跟產業談那當然希望能夠直接的協助產業嘛那對於明天要協助的產業像優惠的貸款部分我想要請問喔就是對於傳產以及中小微創產業我們的優惠利率要不要解碼我們有解碼檢集碼 |
transcript.whisperx[10].start |
239.233 |
transcript.whisperx[10].end |
245.887 |
transcript.whisperx[10].text |
來我來看看因為這個數字我來看看優惠的利率我們在金融支持方面優惠的利率 |
transcript.whisperx[11].start |
250.131 |
transcript.whisperx[11].end |
263.583 |
transcript.whisperx[11].text |
那我看一下好在這裡我們這個中小微企業的貸款的加碼是有的我們變略的預算是50億貸款的額度最高可以到350 3500萬我是說出口的部分140億2000的2000億的貸款額度那我說你的利息優惠減碼減碼是多少2.22這個是 |
transcript.whisperx[12].start |
277.615 |
transcript.whisperx[12].end |
290.88 |
transcript.whisperx[12].text |
標準在計算我們貸款在250萬內的會減補貼1.51.5碼嗎是不是財政部長這個是這個部分我們好多部分都有金融支持是不是降低1.5碼跟委員報告我們對於出口廠商他的貿易融資我們是以2000億這樣的一個融資規模讓 |
transcript.whisperx[13].start |
300.763 |
transcript.whisperx[13].end |
318.489 |
transcript.whisperx[13].text |
出口廠商在貿易融資的時候我們的利率是減1%也就是說他如果跟銀行貸款的利率是2%的話那我們就讓他減1%那他只要付1%的利率那如果說他的產他受的衝擊更大的話 |
transcript.whisperx[14].start |
319.429 |
transcript.whisperx[14].end |
347.397 |
transcript.whisperx[14].text |
那單一廠商可以申請優惠貸款的最高額度是多少他一年最高可以減少利息到600萬好剛才院長所提到的中小微創是50億對於中小微創的貸款的申請是50億那對於他們的轉型升級的貸款會不會利息也減嗎 |
transcript.whisperx[15].start |
348.663 |
transcript.whisperx[15].end |
354.545 |
transcript.whisperx[15].text |
中小微有啊會不會中小微剛剛我們減1.5% 貸款在250萬以內的會減嘛 也會減嘛是不是貸款的部分會減啦但是我們個案補助都到500萬如果是產業聯盟可以到4000萬 |
transcript.whisperx[16].start |
370.039 |
transcript.whisperx[16].end |
392.691 |
transcript.whisperx[16].text |
這個是對研發轉型的補助就是剛才我想委員在說明的這個部分還有過去對於傳產或者中小微等等的在紓困的期間的貸款那他們在申請貸款的時候都由信保基金來做擔保那最高的成數是八成 |
transcript.whisperx[17].start |
394.025 |
transcript.whisperx[17].end |
421.547 |
transcript.whisperx[17].text |
未來會不會提高在這一次的情況下我們有沒有預期要提高信保基金擔保成數到我們到95%了有嗎有會到95%是不是會再更高是不是對對好那希望我們能夠用最大的誠意來協助企業可以嗎 |
transcript.whisperx[18].start |
423.749 |
transcript.whisperx[18].end |
445.348 |
transcript.whisperx[18].text |
還有一項就是過去在紓困貸款的時候對於受信業人員就是銀行的受信人員我們要不要解除他除了有重大的行政疏失以外我們要不要解除他們的行政責任 |
transcript.whisperx[19].start |
447.557 |
transcript.whisperx[19].end |
471.794 |
transcript.whisperx[19].text |
要不要委員提的這個部分也就是行員很介意的就是他的財務的責任的部分我想這個部分其實那個時候就已經讓他可以不要受這個部分的財務責任會不會比照我想這一次我們都是從速從寬從優來說那對於這個行員他們並沒有任何違背任何法令但是因為廠商的衝擊他產業的一些影響的話當然在財務責任上我們應該給予豁免 |
transcript.whisperx[20].start |
473.055 |
transcript.whisperx[20].end |
497.008 |
transcript.whisperx[20].text |
還有行政責任跟財務責任這是過去我們在紓困的時候我們對於產業紓困的時候這第20條我們都有免除這些行員在受信的時候這些除了重大的疏失以外要免除他們的財務以及行政責任是不是剛剛部長答覆的是這樣因為他不是自己 |
transcript.whisperx[21].start |
502.133 |
transcript.whisperx[21].end |
516.306 |
transcript.whisperx[21].text |
任何個人故意的行為是不是因為你在紓困的期間為了重塑、重寬、重減嘛那是不是要免除這些受信人員的這樣子的行政跟財務責任會不會列進去 |
transcript.whisperx[22].start |
517.977 |
transcript.whisperx[22].end |
538.826 |
transcript.whisperx[22].text |
這個部分我想我們會一起跟今晚會一起來把它放到讓行業們了解這一塊好還有過去我們也是在疫情期間對於非常多的企業他們放無薪假對於企業放無薪假的勞工我們也要不要比照辦理給予薪資補貼 |
transcript.whisperx[23].start |
540.959 |
transcript.whisperx[23].end |
549.549 |
transcript.whisperx[23].text |
這個部分誰可以回答有安定基金嘛誰可以回答我們在勞工安定就業的這個措施裡面就有薪資的補貼 |
transcript.whisperx[24].start |
550.8 |
transcript.whisperx[24].end |
577.881 |
transcript.whisperx[24].text |
會不會也要比照過去COVID的時候這樣子的我們確實有規劃就是針對如果放應該是委員的意思應該是減班休息啦在減班的休息的時候我們有規劃包括薪資補貼或者是一些訓練上面的補貼來去彌補勞工可能如果在遇到減班休息上面的時候他薪資上面的就是收入上面的衝擊跟影響目前是有規劃的 |
transcript.whisperx[25].start |
578.601 |
transcript.whisperx[25].end |
589.751 |
transcript.whisperx[25].text |
好 最後我想要請教的就是我們央行的楊總裁因為畢竟這是關稅的手段未來 |
transcript.whisperx[26].start |
591.451 |
transcript.whisperx[26].end |
617.399 |
transcript.whisperx[26].text |
在我們現在所了解的就是川普總統的首席經濟顧問米倫他的這個海福莊園協議裡面關稅手段只是第一步接下來他希望的是美元可以貶值那如果美元貶值對於依賴出口的台灣產業 |
transcript.whisperx[27].start |
619.5 |
transcript.whisperx[27].end |
641.427 |
transcript.whisperx[27].text |
你認為會造成多大的影響以及它的美元貶值這個貨幣的手段有沒有可能成功我跟委員報告就是說事實上匯率是由市場決定的不是說美國說它美元要貶值就貶值 |
transcript.whisperx[28].start |
642.079 |
transcript.whisperx[28].end |
664.212 |
transcript.whisperx[28].text |
我知道那他是市場決定的啊他是市場決定所以呢美元呢就長期來看的話呢他有升值的時候他也有貶值的時候所以呢也就是說市場決定的一個價位他你很難是說用人為的一個方式讓他就說要不讓他貶值就貶值因為是市場來決定長期來講的話他是由市場來決定 |
transcript.whisperx[29].start |
667.838 |
transcript.whisperx[29].end |
681.928 |
transcript.whisperx[29].text |
對那如果美元貶值因為現在目前很多的廠商都也希望台幣可以貶是不是對於我們的出口才有利因為廠商我跟委員報告就是說我們的外匯市場 |
transcript.whisperx[30].start |
683.889 |
transcript.whisperx[30].end |
708.889 |
transcript.whisperx[30].text |
我們的外匯市場它的參與者不是只有我們的廠商還有包括很多的外資外資也是還有包括我們旅遊的人這些都是參與者所以也不是說只有廠商所以也就是說外匯市場所決定的是一個供需來決定的它是一個市場價格 |
transcript.whisperx[31].start |
710.246 |
transcript.whisperx[31].end |
733.004 |
transcript.whisperx[31].text |
也不是說是由誰來決定它的匯率所以你認為米倫他所說的重塑這個全球的貿易體系當然他是以美元為出發點以美債這樣子的一個出發點那這個情況下我們未來國內的廠商要怎麼因應 |
transcript.whisperx[32].start |
734.435 |
transcript.whisperx[32].end |
759.097 |
transcript.whisperx[32].text |
那當然就是說 廠商第一個就是說他要有避險的這個第一個那第二個呢 專業銀行要盡我們的力量因為市場如果說是他波動得太大的時候呢專業銀行會去做某些的調節讓他的那個波動度不要太大 |
transcript.whisperx[33].start |
759.918 |
transcript.whisperx[33].end |
764.124 |
transcript.whisperx[33].text |
那就是這樣子第一個要避嫌第二個中央銀行能夠讓這個匯率能夠動態穩定就是這樣子 |
transcript.whisperx[34].start |
768.582 |
transcript.whisperx[34].end |
790.235 |
transcript.whisperx[34].text |
那你有沒有信心維持我們的匯率穩定當然有信心因為這個是全球的我們就說了美元的參與者不只有台灣而已是不是這是全球的長期以來我們新台幣都非常穩定的動態穩定所以這個對進出口廠商都是很好的 |
transcript.whisperx[35].start |
790.854 |
transcript.whisperx[35].end |
816.916 |
transcript.whisperx[35].text |
所以你有信心可以維持台幣的穩定是沒有問題那所以明天我們院長去彰化的時候可以告訴所有的廠商台幣會穩定不用擔心我們匯率的問題那會不會把相關的避險的相關的這樣子的方式也會一併的告訴廠商讓小廠商也了解 |
transcript.whisperx[36].start |
817.856 |
transcript.whisperx[36].end |
843.951 |
transcript.whisperx[36].text |
基本上就是說銀行都是有這些的避險工具所以這些中小企業他都可以利用的就是會不會院長會不會把順便能夠告訴我們中小企業能夠對於未來整體這個美元經濟的這個風險性以及美國現在在重塑 |
transcript.whisperx[37].start |
845.052 |
transcript.whisperx[37].end |
862.495 |
transcript.whisperx[37].text |
所謂的全球的貿易系統那這個部分是不是能夠也一併的告訴中小企業讓廠商有因應的能力以及對於下一波的這有可能的風險我們也能夠事先的控管 |
transcript.whisperx[38].start |
863.286 |
transcript.whisperx[38].end |
879.04 |
transcript.whisperx[38].text |
報告委員 我大概可以跟業界說的是我們的匯率 台幣匯率長期以來是呈現穩定的趨勢那國家的經濟的體質本質上是健全的所以在這個方面讓它繼續呈現穩定的趨勢因為我們應該可以看得到 |
transcript.whisperx[39].start |
879.801 |
transcript.whisperx[39].end |
894.308 |
transcript.whisperx[39].text |
我只能說這樣子我並沒有一句話就說台幣要不要這個我也不是連總裁都沒辦法說我當然要請總裁說這個你可能也沒辦法講總裁也沒辦法講總裁可能要拿出最大的努力來謝謝大家謝謝謝謝委員的支持謝謝謝謝謝委員謝謝 |