IVOD_ID |
160727 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160727 |
日期 |
2025-04-29 |
會議資料.會議代碼 |
院會-11-3-9 |
會議資料.會議代碼:str |
第11屆第3會期第9次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
9 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第9次會議 |
影片種類 |
Clip |
開始時間 |
2025-04-29T11:35:09+08:00 |
結束時間 |
2025-04-29T11:51:10+08:00 |
影片長度 |
00:16:01 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5e3950a5df8d034b6bea219985619159066821ab1e45083e6de342268043fcb60911e5930497b7265ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
吳秉叡 |
委員發言時間 |
11:35:09 - 11:51:10 |
會議時間 |
2025-04-29T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第9次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、4月25日上午9時至10時為國是論壇時間。三、4月29日下午2時15分至2時30分為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
9.14346875 |
transcript.pyannote[0].end |
12.83909375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
13.29471875 |
transcript.pyannote[1].end |
14.76284375 |
transcript.pyannote[2].speaker |
SPEAKER_03 |
transcript.pyannote[2].start |
24.26346875 |
transcript.pyannote[2].end |
24.82034375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
25.03971875 |
transcript.pyannote[3].end |
25.81596875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
26.42346875 |
transcript.pyannote[4].end |
27.99284375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
28.31346875 |
transcript.pyannote[5].end |
30.22034375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
30.37221875 |
transcript.pyannote[6].end |
31.14846875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
32.21159375 |
transcript.pyannote[7].end |
35.19846875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
36.83534375 |
transcript.pyannote[8].end |
37.20659375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
37.83096875 |
transcript.pyannote[9].end |
40.86846875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
41.79659375 |
transcript.pyannote[10].end |
42.30284375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
43.48409375 |
transcript.pyannote[11].end |
45.20534375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
45.96471875 |
transcript.pyannote[12].end |
49.17096875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
49.62659375 |
transcript.pyannote[13].end |
53.94659375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
54.33471875 |
transcript.pyannote[14].end |
55.76909375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
56.51159375 |
transcript.pyannote[15].end |
59.39721875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
60.10596875 |
transcript.pyannote[16].end |
64.52721875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
64.83096875 |
transcript.pyannote[17].end |
66.95721875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
67.34534375 |
transcript.pyannote[18].end |
68.98221875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
69.62346875 |
transcript.pyannote[19].end |
70.04534375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
71.61471875 |
transcript.pyannote[20].end |
74.06159375 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
75.47909375 |
transcript.pyannote[21].end |
80.08596875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
79.61346875 |
transcript.pyannote[22].end |
85.14846875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
85.35096875 |
transcript.pyannote[23].end |
86.26221875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
86.58284375 |
transcript.pyannote[24].end |
87.46034375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
87.49409375 |
transcript.pyannote[25].end |
90.04221875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
90.61596875 |
transcript.pyannote[26].end |
99.07034375 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
98.98596875 |
transcript.pyannote[27].end |
100.96034375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
102.39471875 |
transcript.pyannote[28].end |
103.84596875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
104.41971875 |
transcript.pyannote[29].end |
105.46596875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
106.42784375 |
transcript.pyannote[30].end |
107.57534375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
108.30096875 |
transcript.pyannote[31].end |
109.88721875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
110.34284375 |
transcript.pyannote[32].end |
112.55346875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
113.19471875 |
transcript.pyannote[33].end |
117.02534375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
117.51471875 |
transcript.pyannote[34].end |
119.89409375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
119.92784375 |
transcript.pyannote[35].end |
120.02909375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
120.07971875 |
transcript.pyannote[36].end |
121.21034375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
121.88534375 |
transcript.pyannote[37].end |
123.65721875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
124.29846875 |
transcript.pyannote[38].end |
126.05346875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
126.67784375 |
transcript.pyannote[39].end |
128.19659375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
128.68596875 |
transcript.pyannote[40].end |
129.76596875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
130.37346875 |
transcript.pyannote[41].end |
131.26784375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
131.48721875 |
transcript.pyannote[42].end |
132.33096875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
132.82034375 |
transcript.pyannote[43].end |
135.04784375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
135.35159375 |
transcript.pyannote[44].end |
136.60034375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
136.66784375 |
transcript.pyannote[45].end |
144.46409375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
145.08846875 |
transcript.pyannote[46].end |
146.97846875 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
146.45534375 |
transcript.pyannote[47].end |
155.39909375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
155.78721875 |
transcript.pyannote[48].end |
165.57471875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
166.36784375 |
transcript.pyannote[49].end |
182.07846875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
182.50034375 |
transcript.pyannote[50].end |
187.02284375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
188.17034375 |
transcript.pyannote[51].end |
189.35159375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
189.85784375 |
transcript.pyannote[52].end |
191.73096875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
192.08534375 |
transcript.pyannote[53].end |
194.86971875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
195.20721875 |
transcript.pyannote[54].end |
197.89034375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
198.22784375 |
transcript.pyannote[55].end |
198.68346875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
199.74659375 |
transcript.pyannote[56].end |
204.84284375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
204.89346875 |
transcript.pyannote[57].end |
212.63909375 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
211.30596875 |
transcript.pyannote[58].end |
214.32659375 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
214.39409375 |
transcript.pyannote[59].end |
216.04784375 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
216.09846875 |
transcript.pyannote[60].end |
217.56659375 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
217.87034375 |
transcript.pyannote[61].end |
223.55721875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
223.55721875 |
transcript.pyannote[62].end |
223.84409375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
224.13096875 |
transcript.pyannote[63].end |
226.34159375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
226.66221875 |
transcript.pyannote[64].end |
229.05846875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
229.68284375 |
transcript.pyannote[65].end |
239.01471875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
239.63909375 |
transcript.pyannote[66].end |
241.73159375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
242.22096875 |
transcript.pyannote[67].end |
244.51596875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
245.19096875 |
transcript.pyannote[68].end |
245.52846875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
246.55784375 |
transcript.pyannote[69].end |
247.01346875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
247.16534375 |
transcript.pyannote[70].end |
247.85721875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
248.34659375 |
transcript.pyannote[71].end |
249.78096875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
250.54034375 |
transcript.pyannote[72].end |
251.83971875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
252.00846875 |
transcript.pyannote[73].end |
254.11784375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
254.74221875 |
transcript.pyannote[74].end |
257.86409375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
259.02846875 |
transcript.pyannote[75].end |
261.03659375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
261.72846875 |
transcript.pyannote[76].end |
267.93846875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
268.49534375 |
transcript.pyannote[77].end |
270.01409375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
270.41909375 |
transcript.pyannote[78].end |
272.35971875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
273.38909375 |
transcript.pyannote[79].end |
274.84034375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
275.54909375 |
transcript.pyannote[80].end |
276.27471875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
276.54471875 |
transcript.pyannote[81].end |
277.43909375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
278.78909375 |
transcript.pyannote[82].end |
279.37971875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
279.83534375 |
transcript.pyannote[83].end |
281.18534375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
281.57346875 |
transcript.pyannote[84].end |
282.40034375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
282.53534375 |
transcript.pyannote[85].end |
285.10034375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
285.72471875 |
transcript.pyannote[86].end |
288.72846875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
289.40346875 |
transcript.pyannote[87].end |
290.29784375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
290.66909375 |
transcript.pyannote[88].end |
291.71534375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
292.79534375 |
transcript.pyannote[89].end |
295.25909375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
295.86659375 |
transcript.pyannote[90].end |
298.63409375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
299.96721875 |
transcript.pyannote[91].end |
305.68784375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
306.71721875 |
transcript.pyannote[92].end |
314.54721875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
315.42471875 |
transcript.pyannote[93].end |
318.19221875 |
transcript.pyannote[94].speaker |
SPEAKER_03 |
transcript.pyannote[94].start |
318.46221875 |
transcript.pyannote[94].end |
323.76096875 |
transcript.pyannote[95].speaker |
SPEAKER_03 |
transcript.pyannote[95].start |
324.08159375 |
transcript.pyannote[95].end |
325.09409375 |
transcript.pyannote[96].speaker |
SPEAKER_03 |
transcript.pyannote[96].start |
325.31346875 |
transcript.pyannote[96].end |
327.25409375 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
327.55784375 |
transcript.pyannote[97].end |
330.13971875 |
transcript.pyannote[98].speaker |
SPEAKER_03 |
transcript.pyannote[98].start |
330.76409375 |
transcript.pyannote[98].end |
332.92409375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
333.93659375 |
transcript.pyannote[99].end |
340.61909375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
341.00721875 |
transcript.pyannote[100].end |
342.23909375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
343.04909375 |
transcript.pyannote[101].end |
355.48596875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
351.38534375 |
transcript.pyannote[102].end |
351.82409375 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
351.82409375 |
transcript.pyannote[103].end |
351.85784375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
351.85784375 |
transcript.pyannote[104].end |
351.89159375 |
transcript.pyannote[105].speaker |
SPEAKER_03 |
transcript.pyannote[105].start |
351.89159375 |
transcript.pyannote[105].end |
352.19534375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
352.19534375 |
transcript.pyannote[106].end |
352.29659375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
356.00909375 |
transcript.pyannote[107].end |
359.46846875 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
359.46846875 |
transcript.pyannote[108].end |
360.07596875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
360.24471875 |
transcript.pyannote[109].end |
369.17159375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
369.12096875 |
transcript.pyannote[110].end |
369.15471875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
369.17159375 |
transcript.pyannote[111].end |
372.61409375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
372.04034375 |
transcript.pyannote[112].end |
377.65971875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
377.96346875 |
transcript.pyannote[113].end |
401.79096875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
400.18784375 |
transcript.pyannote[114].end |
400.76159375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
401.80784375 |
transcript.pyannote[115].end |
401.82471875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
401.82471875 |
transcript.pyannote[116].end |
408.11909375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
403.56284375 |
transcript.pyannote[117].end |
404.60909375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
408.37221875 |
transcript.pyannote[118].end |
409.41846875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
409.53659375 |
transcript.pyannote[119].end |
413.72159375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
413.82284375 |
transcript.pyannote[120].end |
415.15596875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
415.98284375 |
transcript.pyannote[121].end |
418.10909375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
418.37909375 |
transcript.pyannote[122].end |
419.81346875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
420.65721875 |
transcript.pyannote[123].end |
423.18846875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
424.31909375 |
transcript.pyannote[124].end |
424.45409375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
424.45409375 |
transcript.pyannote[125].end |
428.48721875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
429.43221875 |
transcript.pyannote[126].end |
434.03909375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
434.39346875 |
transcript.pyannote[127].end |
437.02596875 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
437.38034375 |
transcript.pyannote[128].end |
438.56159375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
439.20284375 |
transcript.pyannote[129].end |
448.26471875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
448.85534375 |
transcript.pyannote[130].end |
451.06596875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
451.96034375 |
transcript.pyannote[131].end |
452.73659375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
453.39471875 |
transcript.pyannote[132].end |
456.39846875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
456.78659375 |
transcript.pyannote[133].end |
460.98846875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
461.39346875 |
transcript.pyannote[134].end |
482.57159375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
482.57159375 |
transcript.pyannote[135].end |
492.34221875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
493.62471875 |
transcript.pyannote[136].end |
500.44221875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
501.04971875 |
transcript.pyannote[137].end |
504.88034375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
505.45409375 |
transcript.pyannote[138].end |
509.85846875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
510.93846875 |
transcript.pyannote[139].end |
516.77721875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
517.65471875 |
transcript.pyannote[140].end |
519.84846875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
520.50659375 |
transcript.pyannote[141].end |
529.43346875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
530.32784375 |
transcript.pyannote[142].end |
540.23346875 |
transcript.pyannote[143].speaker |
SPEAKER_03 |
transcript.pyannote[143].start |
540.63846875 |
transcript.pyannote[143].end |
543.65909375 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
544.08096875 |
transcript.pyannote[144].end |
547.13534375 |
transcript.pyannote[145].speaker |
SPEAKER_03 |
transcript.pyannote[145].start |
547.32096875 |
transcript.pyannote[145].end |
549.36284375 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
549.70034375 |
transcript.pyannote[146].end |
552.34971875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
550.76346875 |
transcript.pyannote[147].end |
551.53971875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
551.70846875 |
transcript.pyannote[148].end |
554.96534375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
555.47159375 |
transcript.pyannote[149].end |
564.43221875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
564.63471875 |
transcript.pyannote[150].end |
567.50346875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
568.61721875 |
transcript.pyannote[151].end |
571.16534375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
571.60409375 |
transcript.pyannote[152].end |
573.76409375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
574.62471875 |
transcript.pyannote[153].end |
575.21534375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
576.37971875 |
transcript.pyannote[154].end |
578.30346875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
578.47221875 |
transcript.pyannote[155].end |
579.11346875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
579.97409375 |
transcript.pyannote[156].end |
580.81784375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
581.59409375 |
transcript.pyannote[157].end |
583.63596875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
584.04096875 |
transcript.pyannote[158].end |
585.12096875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
585.47534375 |
transcript.pyannote[159].end |
587.28096875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
587.61846875 |
transcript.pyannote[160].end |
588.49596875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
589.28909375 |
transcript.pyannote[161].end |
590.47034375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
590.90909375 |
transcript.pyannote[162].end |
592.78221875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
593.57534375 |
transcript.pyannote[163].end |
593.92971875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
594.19971875 |
transcript.pyannote[164].end |
595.00971875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
595.26284375 |
transcript.pyannote[165].end |
596.59596875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
597.00096875 |
transcript.pyannote[166].end |
598.99221875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
599.71784375 |
transcript.pyannote[167].end |
601.28721875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
601.60784375 |
transcript.pyannote[168].end |
603.95346875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
604.40909375 |
transcript.pyannote[169].end |
605.62409375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
605.94471875 |
transcript.pyannote[170].end |
611.00721875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
611.26034375 |
transcript.pyannote[171].end |
612.91409375 |
transcript.pyannote[172].speaker |
SPEAKER_03 |
transcript.pyannote[172].start |
613.18409375 |
transcript.pyannote[172].end |
615.04034375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
615.36096875 |
transcript.pyannote[173].end |
617.82471875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
618.16221875 |
transcript.pyannote[174].end |
647.59221875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
648.41909375 |
transcript.pyannote[175].end |
653.09346875 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
653.21159375 |
transcript.pyannote[176].end |
657.12659375 |
transcript.pyannote[177].speaker |
SPEAKER_03 |
transcript.pyannote[177].start |
657.22784375 |
transcript.pyannote[177].end |
658.25721875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
658.25721875 |
transcript.pyannote[178].end |
670.81221875 |
transcript.pyannote[179].speaker |
SPEAKER_03 |
transcript.pyannote[179].start |
661.78409375 |
transcript.pyannote[179].end |
663.92721875 |
transcript.pyannote[180].speaker |
SPEAKER_03 |
transcript.pyannote[180].start |
668.90534375 |
transcript.pyannote[180].end |
677.49471875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
678.76034375 |
transcript.pyannote[181].end |
686.48909375 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
687.60284375 |
transcript.pyannote[182].end |
688.90221875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
689.29034375 |
transcript.pyannote[183].end |
690.28596875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
690.87659375 |
transcript.pyannote[184].end |
692.31096875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
692.81721875 |
transcript.pyannote[185].end |
693.54284375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
693.86346875 |
transcript.pyannote[186].end |
695.06159375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
695.26409375 |
transcript.pyannote[187].end |
696.64784375 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
695.63534375 |
transcript.pyannote[188].end |
695.75346875 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
695.80409375 |
transcript.pyannote[189].end |
695.93909375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
696.12471875 |
transcript.pyannote[190].end |
702.87471875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
703.17846875 |
transcript.pyannote[191].end |
703.49909375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
703.75221875 |
transcript.pyannote[192].end |
705.32159375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
706.75596875 |
transcript.pyannote[193].end |
710.11409375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
710.70471875 |
transcript.pyannote[194].end |
711.71721875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
712.20659375 |
transcript.pyannote[195].end |
713.35409375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
714.09659375 |
transcript.pyannote[196].end |
715.17659375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
715.54784375 |
transcript.pyannote[197].end |
716.13846875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
717.10034375 |
transcript.pyannote[198].end |
718.45034375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
718.97346875 |
transcript.pyannote[199].end |
720.17159375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
720.62721875 |
transcript.pyannote[200].end |
723.49596875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
723.59721875 |
transcript.pyannote[201].end |
726.90471875 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
727.64721875 |
transcript.pyannote[202].end |
733.24971875 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
733.43534375 |
transcript.pyannote[203].end |
735.84846875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
736.82721875 |
transcript.pyannote[204].end |
737.60346875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
738.32909375 |
transcript.pyannote[205].end |
745.88909375 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
746.39534375 |
transcript.pyannote[206].end |
747.99846875 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
748.60596875 |
transcript.pyannote[207].end |
750.63096875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
750.85034375 |
transcript.pyannote[208].end |
756.85784375 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
757.11096875 |
transcript.pyannote[209].end |
757.78596875 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
757.48221875 |
transcript.pyannote[210].end |
761.07659375 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
760.31721875 |
transcript.pyannote[211].end |
760.53659375 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
761.07659375 |
transcript.pyannote[212].end |
766.15596875 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
766.56096875 |
transcript.pyannote[213].end |
770.57721875 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
770.74596875 |
transcript.pyannote[214].end |
771.28596875 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
771.70784375 |
transcript.pyannote[215].end |
775.11659375 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
775.53846875 |
transcript.pyannote[216].end |
779.20034375 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
779.33534375 |
transcript.pyannote[217].end |
783.70596875 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
782.82846875 |
transcript.pyannote[218].end |
785.44409375 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
785.44409375 |
transcript.pyannote[219].end |
793.39221875 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
793.62846875 |
transcript.pyannote[220].end |
797.93159375 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
798.04971875 |
transcript.pyannote[221].end |
803.75346875 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
803.78721875 |
transcript.pyannote[222].end |
807.68534375 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
808.47846875 |
transcript.pyannote[223].end |
815.12721875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
815.58284375 |
transcript.pyannote[224].end |
821.69159375 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
821.94471875 |
transcript.pyannote[225].end |
831.25971875 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
831.95159375 |
transcript.pyannote[226].end |
834.38159375 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
834.93846875 |
transcript.pyannote[227].end |
838.12784375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
838.36409375 |
transcript.pyannote[228].end |
841.26659375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
841.48596875 |
transcript.pyannote[229].end |
843.30846875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
843.96659375 |
transcript.pyannote[230].end |
849.92346875 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
850.49721875 |
transcript.pyannote[231].end |
852.92721875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
853.87221875 |
transcript.pyannote[232].end |
857.06159375 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
857.53409375 |
transcript.pyannote[233].end |
859.59284375 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
859.84596875 |
transcript.pyannote[234].end |
861.29721875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
861.97221875 |
transcript.pyannote[235].end |
862.51221875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
863.15346875 |
transcript.pyannote[236].end |
875.25284375 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
875.92784375 |
transcript.pyannote[237].end |
880.55159375 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
880.93971875 |
transcript.pyannote[238].end |
881.68221875 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
881.88471875 |
transcript.pyannote[239].end |
884.21346875 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
884.78721875 |
transcript.pyannote[240].end |
887.28471875 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
887.79096875 |
transcript.pyannote[241].end |
890.15346875 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
890.84534375 |
transcript.pyannote[242].end |
891.48659375 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
891.90846875 |
transcript.pyannote[243].end |
892.80284375 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
893.47784375 |
transcript.pyannote[244].end |
895.40159375 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
894.91221875 |
transcript.pyannote[245].end |
903.87284375 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
903.87284375 |
transcript.pyannote[246].end |
904.44659375 |
transcript.pyannote[247].speaker |
SPEAKER_02 |
transcript.pyannote[247].start |
903.90659375 |
transcript.pyannote[247].end |
903.97409375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
904.49721875 |
transcript.pyannote[248].end |
914.18346875 |
transcript.pyannote[249].speaker |
SPEAKER_02 |
transcript.pyannote[249].start |
904.91909375 |
transcript.pyannote[249].end |
905.37471875 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
914.62221875 |
transcript.pyannote[250].end |
924.00471875 |
transcript.pyannote[251].speaker |
SPEAKER_02 |
transcript.pyannote[251].start |
921.64221875 |
transcript.pyannote[251].end |
927.27846875 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
927.27846875 |
transcript.pyannote[252].end |
927.71721875 |
transcript.pyannote[253].speaker |
SPEAKER_02 |
transcript.pyannote[253].start |
927.43034375 |
transcript.pyannote[253].end |
927.51471875 |
transcript.pyannote[254].speaker |
SPEAKER_02 |
transcript.pyannote[254].start |
951.07221875 |
transcript.pyannote[254].end |
955.56096875 |
transcript.pyannote[255].speaker |
SPEAKER_02 |
transcript.pyannote[255].start |
956.45534375 |
transcript.pyannote[255].end |
960.97784375 |
transcript.whisperx[0].start |
9.301 |
transcript.whisperx[0].end |
14.804 |
transcript.whisperx[0].text |
主席韓院長麻煩請行政院左院長麻煩再請左院長備詢現在因為這個美國的關稅問題所以我認為這個是美中貿易戰爭裡面的一個一個 |
transcript.whisperx[1].start |
37.867 |
transcript.whisperx[1].end |
56.983 |
transcript.whisperx[1].text |
延伸然後現在是進入緊鑼密鼓的階段但是延伸到台灣這邊來的話我覺得我們跟台美的關稅最重要的問題其實不是在關稅的本身我個人認為是在解決貿易順差是一個很大的課題但是這個貿易順差的這個數字 |
transcript.whisperx[2].start |
60.168 |
transcript.whisperx[2].end |
73.758 |
transcript.whisperx[2].text |
美國的統計跟我們台灣的統計好像不太一樣一邊是749億一邊是600多億的美金那這個您知道這個中間這個數據的差距它的原因是什麼嗎 |
transcript.whisperx[3].start |
75.526 |
transcript.whisperx[3].end |
100.727 |
transcript.whisperx[3].text |
他算出來是1114億美方的數字是1114億我是意思說美方的統計我們對台灣對他的貿易順差是749去年但是台灣自己本身原來的統計是600多那中間將近落差了100多億那100多億這個數字上面美國的看法跟我們的看法不一樣他要產生這個差距的原因是在哪裡多少有一些計算的項目的不同 |
transcript.whisperx[4].start |
102.755 |
transcript.whisperx[4].end |
128.918 |
transcript.whisperx[4].text |
還有一些可能是轉口的問題我覺得這裡面國際貿易的原理其實國際貿易原理它是追求平衡所以我們如果是對人家順差很大的國家他如果想辦法去解決貿易之間順差的問題上一次我有跟您提過加大對美國的採購然後包括天然氣 |
transcript.whisperx[5].start |
130.441 |
transcript.whisperx[5].end |
155.32 |
transcript.whisperx[5].text |
原油啊 還包括這個大宗物資 黃小玉然後再加上可能再加上我們的軍事採購總是這個可以減少貿易順差的部分吧上次提過我想這個目前也台灣也目前也是正在這樣做大採購跟投資以及談判關稅這個都是目前雙方在進行磋商的重要的內容 |
transcript.whisperx[6].start |
156.051 |
transcript.whisperx[6].end |
165.107 |
transcript.whisperx[6].text |
對 那我覺得這個才是真正解決問題的重要核心那當然賴總統所提的說如果台灣的廠商可以的話去 |
transcript.whisperx[7].start |
166.653 |
transcript.whisperx[7].end |
186.485 |
transcript.whisperx[7].text |
自己算起來覺得可以的話希望能有去美國這個投資的機會那這個當然會接觸到這個金融帳上面的另外一個問題是說我們如果美國另外一個希望那是希望製造業能夠回到美國那我們如果台灣的廠商去美國投資在美國產生的這個 |
transcript.whisperx[8].start |
188.36 |
transcript.whisperx[8].end |
198.527 |
transcript.whisperx[8].text |
製造業的聚落跟台灣這邊的廠商搭配這是一個不錯的看法將來在對美國的順差上面有可能可以 |
transcript.whisperx[9].start |
199.793 |
transcript.whisperx[9].end |
227.11 |
transcript.whisperx[9].text |
可以比較減少因為我們就不用輸出全部的成品我們辦成品或是零件然後在美國這邊的製造商在那邊投資在那邊製造在美國銷售所以那個差距會有一些在美國投資在美國設廠市場就是以美國那在台灣的設廠台灣的製造就是以全世界為市場這樣能不能取代關稅上的一些衝擊對然後我就是要現在要跟你談一個我認為蠻重要的問題 |
transcript.whisperx[10].start |
229.747 |
transcript.whisperx[10].end |
255.466 |
transcript.whisperx[10].text |
就是因為現在美國對於中國不遵守國際貿易規則所以到現在對於中國的產品他加了很高的關稅另外一點他要嚴防各地幫中國的產品洗產地我了解美國的定義只要你的原料半成品有35%是從中國來的他就認為你這是中國的產品 |
transcript.whisperx[11].start |
259.073 |
transcript.whisperx[11].end |
283.098 |
transcript.whisperx[11].text |
那問題是台灣本身對於台灣製造的定義是這樣喔我無論原料從哪裡來我只要在台灣加值超過35%我就認為這是Made in Taiwan那你不覺得這中間有一種中途嗎我舉一個例子如果當然這個例子是比較極端我的原料跟零件50%從中國來 |
transcript.whisperx[12].start |
286.159 |
transcript.whisperx[12].end |
313.86 |
transcript.whisperx[12].text |
台灣製造價值50%這個產品出口到美國在美國的定義這是中國的產品但台灣本身的定義這個是made in Taiwan所以這正好就進入了美國說那你台灣就是在幫中國洗產地所以關於美國對於中國製造以及台灣對台灣製造非中國製造這中間的定義要如何調和 |
transcript.whisperx[13].start |
315.489 |
transcript.whisperx[13].end |
341.718 |
transcript.whisperx[13].text |
我覺得這是一個很大的課題這不知道你有什麼看法將來在談判過程當中我們都要提出這樣的數據來紀律力爭以國內的市場的行為跟美國的認知來做一個和平我希望能夠以我們現在國內的狀況來當作我們談判的起點那問題是因為美國這個35%中國的原料跟零件他是對全世界的標準不是只有對台灣 |
transcript.whisperx[14].start |
343.103 |
transcript.whisperx[14].end |
356.578 |
transcript.whisperx[14].text |
那你台灣在這個標準上沒有去跟人家談說我的台灣的價值現在是35那假設你要往上抬美國要求你往上抬你說40 45這個都不符合美國現在對中國製產品的這個定義 |
transcript.whisperx[15].start |
360.742 |
transcript.whisperx[15].end |
387.704 |
transcript.whisperx[15].text |
說明一下委員確實這個部分要注意這個問題然後剛剛院長已經說在談判的時候會提出來這個另外呢我們現在在談判的過程中已經談到這個了嗎另外還有一個就是因為進口的原產地在進口的時候是由進口國的海關來認定所以他們有它相關的一些規定那在我們這邊部分我們經濟部會跟美方去談之外還有一個就是有一個預審機制 |
transcript.whisperx[16].start |
388.965 |
transcript.whisperx[16].end |
414.435 |
transcript.whisperx[16].text |
也就是說我們這邊的出口廠商可以向美方的海關申請預審也就是說我這邊出口MIT的標示是不是符合你這邊的符合他們可以認定這個是台灣是原產地這是一個預審機制進入個案的認定部長你這個講法在委員會都談過了但是我不能夠滿意的地方在哪裡呢你這個就是我就要舉一個例子啊我台灣的廠商假設我是一個遵守台灣法令的廠商我的價值 |
transcript.whisperx[17].start |
416.001 |
transcript.whisperx[17].end |
428.229 |
transcript.whisperx[17].text |
在台灣的價值就超過50%啊所以依照我的定義完全依照法令來我就是Made in Taiwan啊那我假設我這個Made in Taiwan的產品我出口到美國去 |
transcript.whisperx[18].start |
429.431 |
transcript.whisperx[18].end |
449.84 |
transcript.whisperx[18].text |
那美國國家的定義對全世界是一樣的啊他認為你這個是中國的產品啊那這不就是我剛剛講的正好熱入說就確切的認定就是台灣在幫中國洗產地嗎那你說我這個預審我個案那個是要繳多少稅金的問題啊我現在是跟你講說這個定義 |
transcript.whisperx[19].start |
452.011 |
transcript.whisperx[19].end |
458.555 |
transcript.whisperx[19].text |
如果我們跟美國之間的利益是有這麼大的差距的話我們很容易落入這樣子的一個情境這樣一個狀況 |
transcript.whisperx[20].start |
482.651 |
transcript.whisperx[20].end |
508.517 |
transcript.whisperx[20].text |
所以有可能我一個台灣的廠商我做一樣的東西我的原料來源一樣我出口的對象如果不是美國是made in Taiwan我出口的對象如果是美國的話變成made in China那請問我們如果建立台灣made in Taiwan MIT的這樣子的在國際之間的我們要打品牌要讓人家知道我們這是高價值的產品啊我跟你說川普總統我一再講他就是要改變這個貿易規則嘛 |
transcript.whisperx[21].start |
511.124 |
transcript.whisperx[21].end |
529.025 |
transcript.whisperx[21].text |
你一直跟我講說拿這個世界的貿易規則就是35%的價值就可以算那一國的產品你沒有辦法拿這個標準去要求美國啊所以我現在是問你說美國跟這個這樣子中間的落差跟台灣中間的這個落差如果不趕快調整的話我覺得台灣很危險耶 |
transcript.whisperx[22].start |
530.353 |
transcript.whisperx[22].end |
535.157 |
transcript.whisperx[22].text |
所以我們就是透過談判的機制希望把雙方不同的標準數據能夠把它做一個對齊或者是做一個如何的改進我剛剛的意思是說WTO的那個標準 |
transcript.whisperx[23].start |
555.509 |
transcript.whisperx[23].end |
578.776 |
transcript.whisperx[23].text |
因為美國要對付中國中國不遵守WTO的規範在很多地方啦所以美國要改變那個貿易規則啦現在川普就是擺明了在改變這個貿易規則啊所以我們台灣要怎麼樣子處理這個是我覺得這是很重要的一環另外像越南這一次也是一個美國要 |
transcript.whisperx[24].start |
580.217 |
transcript.whisperx[24].end |
590.221 |
transcript.whisperx[24].text |
處理的一個幫中國洗產地的一個很大的目標國家就越南前兩天就公佈了他要求整個供應鏈製造產品的供應鏈的履歷 |
transcript.whisperx[25].start |
593.618 |
transcript.whisperx[25].end |
612.363 |
transcript.whisperx[25].text |
要清楚的呈現出來我覺得他山之石可以說錯台灣要不要要求這些零件原料的履歷讓這個商品到底他是從哪一些國家來的多少成分如何組成的也清清楚楚這個你們有可以考慮嗎 |
transcript.whisperx[26].start |
613.263 |
transcript.whisperx[26].end |
632.497 |
transcript.whisperx[26].text |
我們也要求提供產地證明等等這只有產地證明 它是產品的履歷所有的產品的履歷我們現在農產品有履歷嘛 對不對哪一個農民在哪一塊地上面種出來有履歷嘛它現在越南為了要避免美國對付它越南現在採取要求所有它的產品 |
transcript.whisperx[27].start |
633.157 |
transcript.whisperx[27].end |
647.364 |
transcript.whisperx[27].text |
都要有履歷包括哪一個零件假設他的零件是從台灣的哪一個廠商來的啊這個裡面搞不好他這個產品總共有幾十樣零件他每一樣零件從哪裡來從哪一個工廠製造出來他都要求喔 |
transcript.whisperx[28].start |
648.442 |
transcript.whisperx[28].end |
677.151 |
transcript.whisperx[28].text |
他要求這麼嚴喔 他很怕美國很高的關稅對付他我們對違規轉運的 我們設了幾道關卡做得很不好 我也問過他啦六年來喔 在整個加工貿易在自由貿易區 總共境內關外的 總共才查了幾件從海關到經濟部 以前做得不夠嚴謹 現在我們一定強烈的要求否則我們沒有辦法在這波世界貿易重組當中 台灣站得住腳 |
transcript.whisperx[29].start |
678.806 |
transcript.whisperx[29].end |
704.706 |
transcript.whisperx[29].text |
所以你說能夠加強什麼呢到時候你就是拿出成績給我們看吧我相信台灣有很多產品我個人相信是你過去稽查上面沒有不夠嚴謹產生漏洞的應該是會有一些我們這次會更加強的而且有相關的經濟措施那也會提高在自貿港區裡面的一些扒環那再延伸的問題 |
transcript.whisperx[30].start |
706.823 |
transcript.whisperx[30].end |
735.56 |
transcript.whisperx[30].text |
就是說中國跟美國之間這樣子的狀況之下中國的經濟是非常的嚴峻那台灣過去銀行都有統計曝險嘛有一套標準但是那個曝險的統計都是有統計到國有銀行包括公營的跟民營的但是是有一些漏洩統計的因為那個曝險的金額遠不止這樣舉個例子國有銀行在中國的紙行 |
transcript.whisperx[31].start |
736.874 |
transcript.whisperx[31].end |
756.385 |
transcript.whisperx[31].text |
沒有統計再來就是有一些影子銀行租賃公司或是做一些分級付款買賣等等所謂的曝險以前的定義比較狹窄中國的經濟日益嚴峻我們要確確的掌握詳細的數字之後才會有辦法擬定我們的政策對不對 |
transcript.whisperx[32].start |
757.325 |
transcript.whisperx[32].end |
785.178 |
transcript.whisperx[32].text |
這部分請金管會主委說明一下如何加強其實我們對紙行是有掌控的資料都有只是說我們過去在計算曝險的時候是從法律關係來計算我們已經開始從實質的曝險的角度去調整我們計算的方式我想這細節部分可以跟委員再做說明我想這個我們都有全盤的掌握那什麼時候可以提供比較完整的資料 |
transcript.whisperx[33].start |
785.598 |
transcript.whisperx[33].end |
807.341 |
transcript.whisperx[33].text |
就是我們對外因為牽涉到法令的部分我們對外還是一樣比如公佈的這個曝險比例還是按照我們現有的法規的內容但是呢我們有針對實質的比如說它的實質的曝險我們用更換一套計算的公式再重新來審視這件事情我想會更精準的看到這些內容主委我想齁我要提這件事情是為了要預先 |
transcript.whisperx[34].start |
808.522 |
transcript.whisperx[34].end |
833.913 |
transcript.whisperx[34].text |
大家要掌握詳細的資料將來的政策擬定上才不會比較能夠比較接近我們需要達到的目的如果我們統計的數據跟實質的差距差很大的話那個統計意義就不大所以希望這方面能夠加強你願意能夠加強的話那是很好那我們就來努力但是我要提醒一點我認為香港是不是也要把它計算進來 |
transcript.whisperx[35].start |
834.997 |
transcript.whisperx[35].end |
861.066 |
transcript.whisperx[35].text |
因為這一次美國對中國的貿易裡面他沒有把香港單獨作為一個關稅領域他就直接把它算到中國裡面來所以香港現在的國際地位在美國現在的政策上面它已經是中國的一個城市所以我們去計算普選的時候我們要知道你過去的計算方法只有中國不包括香港 香港你是把它獨立出來假設美國的政策 |
transcript.whisperx[36].start |
862.148 |
transcript.whisperx[36].end |
889.843 |
transcript.whisperx[36].text |
是這樣他對關稅的部分是這樣他未來其他的部分也慢慢會跟進這個其實我以前的咨詢就已經談過了說因為香港最嚴重的地方是可能會被踢出這個貨幣換算的機制那現在一步一步來了切香腸一刀一刀再切最後會出現結論嘛所以對香港的曝險你如果沒有改弦更張還是把它跟中國分開計算的話我覺得 |
transcript.whisperx[37].start |
892.417 |
transcript.whisperx[37].end |
908.843 |
transcript.whisperx[37].text |
這個在變動的數據上可能會跟不上這個跟委員說明一下其實我們港澳跟大陸地區都有分開都有完整的數據這沒有問題我知道美國的政策你聽美國的政策把香港當作中國的一個城市嘛 |
transcript.whisperx[38].start |
909.463 |
transcript.whisperx[38].end |
926.305 |
transcript.whisperx[38].text |
如果我們把香港也當作中國一個城市假設我們跟著美國的政策走的時候你那個對中國的普選的資料數字就會天差地啊搞不好你銀行規定那個禁止的百分之百有沒有辦法能不能遵守這個都不清楚啊其實我們這個都有在按照那個 |
transcript.whisperx[39].start |
951.104 |
transcript.whisperx[39].end |
955.287 |
transcript.whisperx[39].text |
好,谢谢吴秉瑞委员的资讯,谢谢卓院长,各部会首长的备选,谢谢。 |