IVOD_ID |
160249 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160249 |
日期 |
2025-04-16 |
會議資料.會議代碼 |
委員會-11-3-20-8 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第8次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
8 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第3會期財政委員會第8次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-16T12:04:49+08:00 |
結束時間 |
2025-04-16T12:17:44+08:00 |
影片長度 |
00:12:55 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f9d2e74df98279dfa77f1dd8bb7f72eea3fd8a5ba555e8251a52cf64e50924c0e6f0bca3cc8d690d5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅明才 |
委員發言時間 |
12:04:49 - 12:17:44 |
會議時間 |
2025-04-16T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第8次全體委員會議(事由:邀請財政部莊部長翠雲、經濟部、農業部及公平交易委員會就「防範中國大陸產品低價傾銷及透過台灣洗產地問題之因應策略」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_03 |
transcript.pyannote[0].start |
7.38846875 |
transcript.pyannote[0].end |
9.70034375 |
transcript.pyannote[1].speaker |
SPEAKER_03 |
transcript.pyannote[1].start |
9.97034375 |
transcript.pyannote[1].end |
11.18534375 |
transcript.pyannote[2].speaker |
SPEAKER_03 |
transcript.pyannote[2].start |
11.67471875 |
transcript.pyannote[2].end |
14.44221875 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
14.61096875 |
transcript.pyannote[3].end |
15.67409375 |
transcript.pyannote[4].speaker |
SPEAKER_03 |
transcript.pyannote[4].start |
16.34909375 |
transcript.pyannote[4].end |
17.58096875 |
transcript.pyannote[5].speaker |
SPEAKER_03 |
transcript.pyannote[5].start |
17.74971875 |
transcript.pyannote[5].end |
19.60596875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
20.19659375 |
transcript.pyannote[6].end |
25.00596875 |
transcript.pyannote[7].speaker |
SPEAKER_03 |
transcript.pyannote[7].start |
26.76096875 |
transcript.pyannote[7].end |
27.21659375 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
28.02659375 |
transcript.pyannote[8].end |
30.15284375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
28.73534375 |
transcript.pyannote[9].end |
29.30909375 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
31.48596875 |
transcript.pyannote[10].end |
34.47284375 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
35.06346875 |
transcript.pyannote[11].end |
39.02909375 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
39.19784375 |
transcript.pyannote[12].end |
40.05846875 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
40.48034375 |
transcript.pyannote[13].end |
41.91471875 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
42.30284375 |
transcript.pyannote[14].end |
43.85534375 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
44.34471875 |
transcript.pyannote[15].end |
44.90159375 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
45.61034375 |
transcript.pyannote[16].end |
46.35284375 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
47.68596875 |
transcript.pyannote[17].end |
49.06971875 |
transcript.pyannote[18].speaker |
SPEAKER_03 |
transcript.pyannote[18].start |
49.94721875 |
transcript.pyannote[18].end |
56.56221875 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
57.01784375 |
transcript.pyannote[19].end |
63.54846875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
64.69596875 |
transcript.pyannote[20].end |
79.17471875 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
77.28471875 |
transcript.pyannote[21].end |
79.95096875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
79.54596875 |
transcript.pyannote[22].end |
106.46159375 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
106.93409375 |
transcript.pyannote[23].end |
108.08159375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
107.91284375 |
transcript.pyannote[24].end |
112.84034375 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
110.00534375 |
transcript.pyannote[25].end |
111.13596875 |
transcript.pyannote[26].speaker |
SPEAKER_03 |
transcript.pyannote[26].start |
112.51971875 |
transcript.pyannote[26].end |
113.39721875 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
113.21159375 |
transcript.pyannote[27].end |
115.64159375 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
115.65846875 |
transcript.pyannote[28].end |
121.56471875 |
transcript.pyannote[29].speaker |
SPEAKER_03 |
transcript.pyannote[29].start |
121.58159375 |
transcript.pyannote[29].end |
127.47096875 |
transcript.pyannote[30].speaker |
SPEAKER_03 |
transcript.pyannote[30].start |
128.36534375 |
transcript.pyannote[30].end |
128.93909375 |
transcript.pyannote[31].speaker |
SPEAKER_03 |
transcript.pyannote[31].start |
129.17534375 |
transcript.pyannote[31].end |
130.13721875 |
transcript.pyannote[32].speaker |
SPEAKER_03 |
transcript.pyannote[32].start |
130.71096875 |
transcript.pyannote[32].end |
132.55034375 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
132.82034375 |
transcript.pyannote[33].end |
134.37284375 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
134.62596875 |
transcript.pyannote[34].end |
138.38909375 |
transcript.pyannote[35].speaker |
SPEAKER_03 |
transcript.pyannote[35].start |
138.59159375 |
transcript.pyannote[35].end |
139.08096875 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
139.85721875 |
transcript.pyannote[36].end |
140.71784375 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
141.30846875 |
transcript.pyannote[37].end |
141.96659375 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
142.55721875 |
transcript.pyannote[38].end |
143.11409375 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
143.43471875 |
transcript.pyannote[39].end |
144.64971875 |
transcript.pyannote[40].speaker |
SPEAKER_03 |
transcript.pyannote[40].start |
144.98721875 |
transcript.pyannote[40].end |
162.03096875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
163.38096875 |
transcript.pyannote[41].end |
168.17346875 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
168.35909375 |
transcript.pyannote[42].end |
172.76346875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
174.36659375 |
transcript.pyannote[43].end |
183.27659375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
183.64784375 |
transcript.pyannote[44].end |
187.29284375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
187.57971875 |
transcript.pyannote[45].end |
189.01409375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
189.23346875 |
transcript.pyannote[46].end |
196.05096875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
196.10159375 |
transcript.pyannote[47].end |
205.95659375 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
203.03721875 |
transcript.pyannote[48].end |
203.59409375 |
transcript.pyannote[49].speaker |
SPEAKER_03 |
transcript.pyannote[49].start |
205.97346875 |
transcript.pyannote[49].end |
214.96784375 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
215.62596875 |
transcript.pyannote[50].end |
225.91971875 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
226.25721875 |
transcript.pyannote[51].end |
228.63659375 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
228.72096875 |
transcript.pyannote[52].end |
253.17284375 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
253.76346875 |
transcript.pyannote[53].end |
255.33284375 |
transcript.pyannote[54].speaker |
SPEAKER_03 |
transcript.pyannote[54].start |
255.99096875 |
transcript.pyannote[54].end |
262.20096875 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
263.51721875 |
transcript.pyannote[55].end |
272.10659375 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
272.54534375 |
transcript.pyannote[56].end |
273.69284375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
273.99659375 |
transcript.pyannote[57].end |
284.07096875 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
284.34096875 |
transcript.pyannote[58].end |
285.97784375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
286.61909375 |
transcript.pyannote[59].end |
292.86284375 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
293.36909375 |
transcript.pyannote[60].end |
301.41846875 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
302.34659375 |
transcript.pyannote[61].end |
305.58659375 |
transcript.pyannote[62].speaker |
SPEAKER_03 |
transcript.pyannote[62].start |
305.90721875 |
transcript.pyannote[62].end |
306.95346875 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
307.18971875 |
transcript.pyannote[63].end |
307.64534375 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
307.81409375 |
transcript.pyannote[64].end |
309.50159375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
309.99096875 |
transcript.pyannote[65].end |
311.69534375 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
312.13409375 |
transcript.pyannote[66].end |
325.63409375 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
325.95471875 |
transcript.pyannote[67].end |
328.06409375 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
328.35096875 |
transcript.pyannote[68].end |
347.67284375 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
347.67284375 |
transcript.pyannote[69].end |
353.14034375 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
353.71409375 |
transcript.pyannote[70].end |
354.10221875 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
354.42284375 |
transcript.pyannote[71].end |
355.11471875 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
355.26659375 |
transcript.pyannote[72].end |
356.02596875 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
356.44784375 |
transcript.pyannote[73].end |
357.12284375 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
357.46034375 |
transcript.pyannote[74].end |
363.56909375 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
365.13846875 |
transcript.pyannote[75].end |
366.18471875 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
367.11284375 |
transcript.pyannote[76].end |
368.19284375 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
368.83409375 |
transcript.pyannote[77].end |
369.93096875 |
transcript.pyannote[78].speaker |
SPEAKER_03 |
transcript.pyannote[78].start |
370.50471875 |
transcript.pyannote[78].end |
371.17971875 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
371.29784375 |
transcript.pyannote[79].end |
373.40721875 |
transcript.pyannote[80].speaker |
SPEAKER_03 |
transcript.pyannote[80].start |
374.36909375 |
transcript.pyannote[80].end |
376.27596875 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
377.00159375 |
transcript.pyannote[81].end |
377.92971875 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
378.19971875 |
transcript.pyannote[82].end |
379.80284375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
380.03909375 |
transcript.pyannote[83].end |
380.83221875 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
381.47346875 |
transcript.pyannote[84].end |
384.57846875 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
384.91596875 |
transcript.pyannote[85].end |
385.86096875 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
386.65409375 |
transcript.pyannote[86].end |
388.35846875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
388.91534375 |
transcript.pyannote[87].end |
392.30721875 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
392.03721875 |
transcript.pyannote[88].end |
394.56846875 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
394.90596875 |
transcript.pyannote[89].end |
395.31096875 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
395.83409375 |
transcript.pyannote[90].end |
404.01846875 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
404.18721875 |
transcript.pyannote[91].end |
405.48659375 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
406.46534375 |
transcript.pyannote[92].end |
407.37659375 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
407.44409375 |
transcript.pyannote[93].end |
409.75596875 |
transcript.pyannote[94].speaker |
SPEAKER_03 |
transcript.pyannote[94].start |
410.00909375 |
transcript.pyannote[94].end |
410.59971875 |
transcript.pyannote[95].speaker |
SPEAKER_03 |
transcript.pyannote[95].start |
411.20721875 |
transcript.pyannote[95].end |
411.73034375 |
transcript.pyannote[96].speaker |
SPEAKER_03 |
transcript.pyannote[96].start |
412.08471875 |
transcript.pyannote[96].end |
413.02971875 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
413.38409375 |
transcript.pyannote[97].end |
417.07971875 |
transcript.pyannote[98].speaker |
SPEAKER_03 |
transcript.pyannote[98].start |
417.33284375 |
transcript.pyannote[98].end |
418.54784375 |
transcript.pyannote[99].speaker |
SPEAKER_03 |
transcript.pyannote[99].start |
419.12159375 |
transcript.pyannote[99].end |
419.81346875 |
transcript.pyannote[100].speaker |
SPEAKER_03 |
transcript.pyannote[100].start |
420.15096875 |
transcript.pyannote[100].end |
420.85971875 |
transcript.pyannote[101].speaker |
SPEAKER_03 |
transcript.pyannote[101].start |
420.87659375 |
transcript.pyannote[101].end |
422.02409375 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
422.74971875 |
transcript.pyannote[102].end |
423.47534375 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
423.86346875 |
transcript.pyannote[103].end |
424.50471875 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
425.07846875 |
transcript.pyannote[104].end |
426.56346875 |
transcript.pyannote[105].speaker |
SPEAKER_03 |
transcript.pyannote[105].start |
426.64784375 |
transcript.pyannote[105].end |
427.62659375 |
transcript.pyannote[106].speaker |
SPEAKER_03 |
transcript.pyannote[106].start |
427.84596875 |
transcript.pyannote[106].end |
429.26346875 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
430.17471875 |
transcript.pyannote[107].end |
431.60909375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
432.11534375 |
transcript.pyannote[108].end |
435.03471875 |
transcript.pyannote[109].speaker |
SPEAKER_03 |
transcript.pyannote[109].start |
435.28784375 |
transcript.pyannote[109].end |
444.87284375 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
445.49721875 |
transcript.pyannote[110].end |
446.71221875 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
447.67409375 |
transcript.pyannote[111].end |
448.33221875 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
449.64846875 |
transcript.pyannote[112].end |
450.74534375 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
451.57221875 |
transcript.pyannote[113].end |
453.27659375 |
transcript.pyannote[114].speaker |
SPEAKER_03 |
transcript.pyannote[114].start |
453.96846875 |
transcript.pyannote[114].end |
456.34784375 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
456.61784375 |
transcript.pyannote[115].end |
461.61284375 |
transcript.pyannote[116].speaker |
SPEAKER_03 |
transcript.pyannote[116].start |
461.83221875 |
transcript.pyannote[116].end |
464.44784375 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
465.96659375 |
transcript.pyannote[117].end |
466.33784375 |
transcript.pyannote[118].speaker |
SPEAKER_03 |
transcript.pyannote[118].start |
466.75971875 |
transcript.pyannote[118].end |
467.51909375 |
transcript.pyannote[119].speaker |
SPEAKER_03 |
transcript.pyannote[119].start |
468.09284375 |
transcript.pyannote[119].end |
470.52284375 |
transcript.pyannote[120].speaker |
SPEAKER_03 |
transcript.pyannote[120].start |
471.24846875 |
transcript.pyannote[120].end |
472.15971875 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
472.76721875 |
transcript.pyannote[121].end |
474.38721875 |
transcript.pyannote[122].speaker |
SPEAKER_03 |
transcript.pyannote[122].start |
475.14659375 |
transcript.pyannote[122].end |
477.45846875 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
477.50909375 |
transcript.pyannote[123].end |
478.69034375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
478.82534375 |
transcript.pyannote[124].end |
492.51096875 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
492.81471875 |
transcript.pyannote[125].end |
492.94971875 |
transcript.pyannote[126].speaker |
SPEAKER_03 |
transcript.pyannote[126].start |
493.55721875 |
transcript.pyannote[126].end |
495.05909375 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
495.32909375 |
transcript.pyannote[127].end |
500.34096875 |
transcript.pyannote[128].speaker |
SPEAKER_03 |
transcript.pyannote[128].start |
501.06659375 |
transcript.pyannote[128].end |
503.81721875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
504.34034375 |
transcript.pyannote[129].end |
507.64784375 |
transcript.pyannote[130].speaker |
SPEAKER_03 |
transcript.pyannote[130].start |
509.09909375 |
transcript.pyannote[130].end |
511.15784375 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
511.46159375 |
transcript.pyannote[131].end |
513.31784375 |
transcript.pyannote[132].speaker |
SPEAKER_03 |
transcript.pyannote[132].start |
513.60471875 |
transcript.pyannote[132].end |
516.01784375 |
transcript.pyannote[133].speaker |
SPEAKER_03 |
transcript.pyannote[133].start |
516.40596875 |
transcript.pyannote[133].end |
517.23284375 |
transcript.pyannote[134].speaker |
SPEAKER_03 |
transcript.pyannote[134].start |
517.58721875 |
transcript.pyannote[134].end |
518.22846875 |
transcript.pyannote[135].speaker |
SPEAKER_03 |
transcript.pyannote[135].start |
519.35909375 |
transcript.pyannote[135].end |
520.23659375 |
transcript.pyannote[136].speaker |
SPEAKER_03 |
transcript.pyannote[136].start |
520.57409375 |
transcript.pyannote[136].end |
520.92846875 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
521.83971875 |
transcript.pyannote[137].end |
524.20221875 |
transcript.pyannote[138].speaker |
SPEAKER_03 |
transcript.pyannote[138].start |
525.94034375 |
transcript.pyannote[138].end |
533.09534375 |
transcript.pyannote[139].speaker |
SPEAKER_03 |
transcript.pyannote[139].start |
533.24721875 |
transcript.pyannote[139].end |
534.81659375 |
transcript.pyannote[140].speaker |
SPEAKER_03 |
transcript.pyannote[140].start |
536.03159375 |
transcript.pyannote[140].end |
536.85846875 |
transcript.pyannote[141].speaker |
SPEAKER_03 |
transcript.pyannote[141].start |
538.81596875 |
transcript.pyannote[141].end |
540.01409375 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
540.33471875 |
transcript.pyannote[142].end |
541.17846875 |
transcript.pyannote[143].speaker |
SPEAKER_03 |
transcript.pyannote[143].start |
541.58346875 |
transcript.pyannote[143].end |
542.37659375 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
542.76471875 |
transcript.pyannote[144].end |
543.86159375 |
transcript.pyannote[145].speaker |
SPEAKER_03 |
transcript.pyannote[145].start |
545.31284375 |
transcript.pyannote[145].end |
546.27471875 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
546.74721875 |
transcript.pyannote[146].end |
547.05096875 |
transcript.pyannote[147].speaker |
SPEAKER_03 |
transcript.pyannote[147].start |
547.18596875 |
transcript.pyannote[147].end |
548.26596875 |
transcript.pyannote[148].speaker |
SPEAKER_03 |
transcript.pyannote[148].start |
548.53596875 |
transcript.pyannote[148].end |
548.95784375 |
transcript.pyannote[149].speaker |
SPEAKER_03 |
transcript.pyannote[149].start |
550.05471875 |
transcript.pyannote[149].end |
551.26971875 |
transcript.pyannote[150].speaker |
SPEAKER_03 |
transcript.pyannote[150].start |
552.18096875 |
transcript.pyannote[150].end |
553.49721875 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
553.98659375 |
transcript.pyannote[151].end |
554.71221875 |
transcript.pyannote[152].speaker |
SPEAKER_03 |
transcript.pyannote[152].start |
555.10034375 |
transcript.pyannote[152].end |
556.02846875 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
556.95659375 |
transcript.pyannote[153].end |
558.88034375 |
transcript.pyannote[154].speaker |
SPEAKER_03 |
transcript.pyannote[154].start |
559.69034375 |
transcript.pyannote[154].end |
561.71534375 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
562.32284375 |
transcript.pyannote[155].end |
567.77346875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
568.00971875 |
transcript.pyannote[156].end |
575.02971875 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
575.63721875 |
transcript.pyannote[157].end |
581.34096875 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
581.47596875 |
transcript.pyannote[158].end |
583.02846875 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
583.33221875 |
transcript.pyannote[159].end |
585.15471875 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
585.13784375 |
transcript.pyannote[160].end |
586.06596875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
585.17159375 |
transcript.pyannote[161].end |
585.18846875 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
587.82096875 |
transcript.pyannote[162].end |
589.44096875 |
transcript.pyannote[163].speaker |
SPEAKER_03 |
transcript.pyannote[163].start |
590.06534375 |
transcript.pyannote[163].end |
594.41909375 |
transcript.pyannote[164].speaker |
SPEAKER_03 |
transcript.pyannote[164].start |
595.00971875 |
transcript.pyannote[164].end |
598.45221875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
599.05971875 |
transcript.pyannote[165].end |
616.71096875 |
transcript.pyannote[166].speaker |
SPEAKER_03 |
transcript.pyannote[166].start |
616.89659375 |
transcript.pyannote[166].end |
619.09034375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
619.88346875 |
transcript.pyannote[167].end |
622.02659375 |
transcript.pyannote[168].speaker |
SPEAKER_03 |
transcript.pyannote[168].start |
622.56659375 |
transcript.pyannote[168].end |
623.29221875 |
transcript.pyannote[169].speaker |
SPEAKER_03 |
transcript.pyannote[169].start |
623.46096875 |
transcript.pyannote[169].end |
623.89971875 |
transcript.pyannote[170].speaker |
SPEAKER_03 |
transcript.pyannote[170].start |
624.35534375 |
transcript.pyannote[170].end |
624.82784375 |
transcript.pyannote[171].speaker |
SPEAKER_03 |
transcript.pyannote[171].start |
625.14846875 |
transcript.pyannote[171].end |
627.00471875 |
transcript.pyannote[172].speaker |
SPEAKER_03 |
transcript.pyannote[172].start |
629.11409375 |
transcript.pyannote[172].end |
631.22346875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
632.47221875 |
transcript.pyannote[173].end |
636.77534375 |
transcript.pyannote[174].speaker |
SPEAKER_03 |
transcript.pyannote[174].start |
636.82596875 |
transcript.pyannote[174].end |
640.13346875 |
transcript.pyannote[175].speaker |
SPEAKER_03 |
transcript.pyannote[175].start |
640.48784375 |
transcript.pyannote[175].end |
641.68596875 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
642.81659375 |
transcript.pyannote[176].end |
643.77846875 |
transcript.pyannote[177].speaker |
SPEAKER_03 |
transcript.pyannote[177].start |
644.33534375 |
transcript.pyannote[177].end |
646.24221875 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
647.30534375 |
transcript.pyannote[178].end |
648.89159375 |
transcript.pyannote[179].speaker |
SPEAKER_03 |
transcript.pyannote[179].start |
649.51596875 |
transcript.pyannote[179].end |
651.32159375 |
transcript.pyannote[180].speaker |
SPEAKER_03 |
transcript.pyannote[180].start |
652.11471875 |
transcript.pyannote[180].end |
653.58284375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
654.84846875 |
transcript.pyannote[181].end |
655.18596875 |
transcript.pyannote[182].speaker |
SPEAKER_03 |
transcript.pyannote[182].start |
655.18596875 |
transcript.pyannote[182].end |
656.18159375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
656.83971875 |
transcript.pyannote[183].end |
663.91034375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
664.16346875 |
transcript.pyannote[184].end |
666.08721875 |
transcript.pyannote[185].speaker |
SPEAKER_03 |
transcript.pyannote[185].start |
666.47534375 |
transcript.pyannote[185].end |
667.48784375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
668.36534375 |
transcript.pyannote[186].end |
673.54596875 |
transcript.pyannote[187].speaker |
SPEAKER_03 |
transcript.pyannote[187].start |
674.17034375 |
transcript.pyannote[187].end |
676.16159375 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
676.92096875 |
transcript.pyannote[188].end |
678.76034375 |
transcript.pyannote[189].speaker |
SPEAKER_03 |
transcript.pyannote[189].start |
679.11471875 |
transcript.pyannote[189].end |
680.00909375 |
transcript.pyannote[190].speaker |
SPEAKER_03 |
transcript.pyannote[190].start |
680.41409375 |
transcript.pyannote[190].end |
681.79784375 |
transcript.pyannote[191].speaker |
SPEAKER_03 |
transcript.pyannote[191].start |
682.32096875 |
transcript.pyannote[191].end |
682.92846875 |
transcript.pyannote[192].speaker |
SPEAKER_03 |
transcript.pyannote[192].start |
683.09721875 |
transcript.pyannote[192].end |
684.54846875 |
transcript.pyannote[193].speaker |
SPEAKER_03 |
transcript.pyannote[193].start |
685.15596875 |
transcript.pyannote[193].end |
688.07534375 |
transcript.pyannote[194].speaker |
SPEAKER_03 |
transcript.pyannote[194].start |
688.85159375 |
transcript.pyannote[194].end |
691.09596875 |
transcript.pyannote[195].speaker |
SPEAKER_03 |
transcript.pyannote[195].start |
691.46721875 |
transcript.pyannote[195].end |
692.10846875 |
transcript.pyannote[196].speaker |
SPEAKER_03 |
transcript.pyannote[196].start |
692.32784375 |
transcript.pyannote[196].end |
693.08721875 |
transcript.pyannote[197].speaker |
SPEAKER_03 |
transcript.pyannote[197].start |
693.69471875 |
transcript.pyannote[197].end |
694.26846875 |
transcript.pyannote[198].speaker |
SPEAKER_03 |
transcript.pyannote[198].start |
695.33159375 |
transcript.pyannote[198].end |
695.88846875 |
transcript.pyannote[199].speaker |
SPEAKER_03 |
transcript.pyannote[199].start |
696.29346875 |
transcript.pyannote[199].end |
698.67284375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
699.93846875 |
transcript.pyannote[200].end |
703.09409375 |
transcript.pyannote[201].speaker |
SPEAKER_03 |
transcript.pyannote[201].start |
703.24596875 |
transcript.pyannote[201].end |
703.65096875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
705.01784375 |
transcript.pyannote[202].end |
705.28784375 |
transcript.pyannote[203].speaker |
SPEAKER_03 |
transcript.pyannote[203].start |
706.43534375 |
transcript.pyannote[203].end |
707.63346875 |
transcript.pyannote[204].speaker |
SPEAKER_03 |
transcript.pyannote[204].start |
707.83596875 |
transcript.pyannote[204].end |
709.72596875 |
transcript.pyannote[205].speaker |
SPEAKER_03 |
transcript.pyannote[205].start |
709.94534375 |
transcript.pyannote[205].end |
711.17721875 |
transcript.pyannote[206].speaker |
SPEAKER_03 |
transcript.pyannote[206].start |
711.80159375 |
transcript.pyannote[206].end |
712.74659375 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
712.99971875 |
transcript.pyannote[207].end |
713.53971875 |
transcript.pyannote[208].speaker |
SPEAKER_03 |
transcript.pyannote[208].start |
713.64096875 |
transcript.pyannote[208].end |
714.36659375 |
transcript.pyannote[209].speaker |
SPEAKER_03 |
transcript.pyannote[209].start |
714.60284375 |
transcript.pyannote[209].end |
715.39596875 |
transcript.pyannote[210].speaker |
SPEAKER_03 |
transcript.pyannote[210].start |
718.14659375 |
transcript.pyannote[210].end |
718.93971875 |
transcript.pyannote[211].speaker |
SPEAKER_03 |
transcript.pyannote[211].start |
719.66534375 |
transcript.pyannote[211].end |
720.44159375 |
transcript.pyannote[212].speaker |
SPEAKER_03 |
transcript.pyannote[212].start |
720.79596875 |
transcript.pyannote[212].end |
721.70721875 |
transcript.pyannote[213].speaker |
SPEAKER_03 |
transcript.pyannote[213].start |
722.04471875 |
transcript.pyannote[213].end |
724.77846875 |
transcript.pyannote[214].speaker |
SPEAKER_03 |
transcript.pyannote[214].start |
726.11159375 |
transcript.pyannote[214].end |
732.42284375 |
transcript.pyannote[215].speaker |
SPEAKER_03 |
transcript.pyannote[215].start |
734.26221875 |
transcript.pyannote[215].end |
735.08909375 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
735.91596875 |
transcript.pyannote[216].end |
741.55221875 |
transcript.pyannote[217].speaker |
SPEAKER_03 |
transcript.pyannote[217].start |
741.75471875 |
transcript.pyannote[217].end |
746.20971875 |
transcript.pyannote[218].speaker |
SPEAKER_03 |
transcript.pyannote[218].start |
747.10409375 |
transcript.pyannote[218].end |
748.33596875 |
transcript.pyannote[219].speaker |
SPEAKER_03 |
transcript.pyannote[219].start |
748.97721875 |
transcript.pyannote[219].end |
749.61846875 |
transcript.pyannote[220].speaker |
SPEAKER_03 |
transcript.pyannote[220].start |
750.02346875 |
transcript.pyannote[220].end |
750.66471875 |
transcript.pyannote[221].speaker |
SPEAKER_03 |
transcript.pyannote[221].start |
750.76596875 |
transcript.pyannote[221].end |
751.82909375 |
transcript.pyannote[222].speaker |
SPEAKER_03 |
transcript.pyannote[222].start |
752.09909375 |
transcript.pyannote[222].end |
754.63034375 |
transcript.pyannote[223].speaker |
SPEAKER_03 |
transcript.pyannote[223].start |
755.45721875 |
transcript.pyannote[223].end |
755.82846875 |
transcript.pyannote[224].speaker |
SPEAKER_03 |
transcript.pyannote[224].start |
755.99721875 |
transcript.pyannote[224].end |
756.50346875 |
transcript.pyannote[225].speaker |
SPEAKER_03 |
transcript.pyannote[225].start |
756.75659375 |
transcript.pyannote[225].end |
757.90409375 |
transcript.pyannote[226].speaker |
SPEAKER_03 |
transcript.pyannote[226].start |
758.07284375 |
transcript.pyannote[226].end |
764.56971875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
764.77221875 |
transcript.pyannote[227].end |
770.34096875 |
transcript.pyannote[228].speaker |
SPEAKER_03 |
transcript.pyannote[228].start |
765.00846875 |
transcript.pyannote[228].end |
765.37971875 |
transcript.whisperx[0].start |
7.383 |
transcript.whisperx[0].end |
29.061 |
transcript.whisperx[0].text |
主席各位出列席官員大家好主席可不可以請財政部莊部長經濟部姜次長還有農業部的杜次長好選莊部長還有就是姜次長還有杜次長謝謝自從這個關稅貿易戰開打事實上 |
transcript.whisperx[1].start |
35.1 |
transcript.whisperx[1].end |
63.155 |
transcript.whisperx[1].text |
我們全國的企業大家都是非常的緊張不曉得未來何去何從首先請教一下中部長五月中手稅就要申報了現在有什麼新的制度變革嗎往後延了嗎那如果今年度有困難繳不出錢的可不可以往後延或者可以申請明年再繳 |
transcript.whisperx[2].start |
64.735 |
transcript.whisperx[2].end |
71.1 |
transcript.whisperx[2].text |
跟委員報告今年的所得稅結算申報會延長一個月從5月1號到6月30號這樣讓民眾可以在因應這個相關的關稅政策的時候有一個寬廣時間來做申報那為什麼今年會往後延一個月就是剛剛講就是說因為民眾也好或者企業也好會受到這個產業這個部分那他們可能要處理訂單或等等的事情而不要再 |
transcript.whisperx[3].start |
89.955 |
transcript.whisperx[3].end |
105.592 |
transcript.whisperx[3].text |
一個月內即時也去申報那讓他有一個比較寬廣的時間來寬闊的時間來做申報那至於如果說他沒有辦法在繳稅期間內繳清的話那也可以申請延期或者是分期那分期最長可以分到36期也就是分為三年來繳納 |
transcript.whisperx[4].start |
106.96 |
transcript.whisperx[4].end |
125.971 |
transcript.whisperx[4].text |
所以可以延期就對了對 可以延期或者是申請分期那也不計利息這個部分不用付利息啊不用計算利息 不要加計利息的OK 那我想這是一個很好的一個方法畢竟這個關稅大戰也不是這些中小企業組他們 |
transcript.whisperx[5].start |
128.43 |
transcript.whisperx[5].end |
150.029 |
transcript.whisperx[5].text |
自己犯了什麼錯而是因為大環境的改變所以謝謝部長向來我對中小企業的支持我是全力支持畢竟台灣過去經濟的發展都是靠中小企業一點一滴然後慢慢的逐步的成長 |
transcript.whisperx[6].start |
151.01 |
transcript.whisperx[6].end |
172.59 |
transcript.whisperx[6].text |
所以你剛剛說,繳不起錢的,就可以延後,分36期,或者是說還可以寫個報告,利息也都可以不用出,是不是?這個充值的話,我們申請延期分期是不用加計利息的,對好,謝謝,那另外很多的銀行啊,會不會抽銀根啊? |
transcript.whisperx[7].start |
174.875 |
transcript.whisperx[7].end |
191.773 |
transcript.whisperx[7].text |
我想在我們在參與這個業者座談會的時候許多業者都提出說希望不要抽銀根那我們這個部分也特別有提醒說告訴他們說其實不管你在續借或者是在延期的部分都可以跟原來的銀行去商討而且金管會也會跟經濟部還有銀行工會 |
transcript.whisperx[8].start |
196.538 |
transcript.whisperx[8].end |
214.794 |
transcript.whisperx[8].text |
去做討論希望給業者有比較好的一個寬緩的時間來做那也不能是做雨天收傘的動作謝謝我們希望說的要做到啦因為事實上現在有很多的這個社會上很多銀行已經開始抽銀根了 |
transcript.whisperx[9].start |
215.68 |
transcript.whisperx[9].end |
231.882 |
transcript.whisperx[9].text |
那沒有關係謝謝部長剛剛講的那麼誠懇而且那麼有善意對我們中小企業的支持所以在這裡也跟大家宣布如果全國各中小企業如果受到抽銀根的情況 |
transcript.whisperx[10].start |
233.344 |
transcript.whisperx[10].end |
262.023 |
transcript.whisperx[10].text |
會感覺企業經營困難因為企業經營不下去接下來就是裁員裁的又都是我們國人又是我們自己的兄弟姊妹所以我們是於心不忍所以裁委會也是一個很好的申訴管道那另外再請教一下部長國安基金是不是已經配合八大公股銀行已經開始進場來承接了 |
transcript.whisperx[11].start |
263.541 |
transcript.whisperx[11].end |
268.925 |
transcript.whisperx[11].text |
經過委員會的討論以後已經授權我們的執行秘書可以去做有關的一個覆盤開始動起來了嗎我想這個部分我們的由執行秘書來做執行已經在4月8號開會4月9號就開始在執行了看起來這個金額夠不夠我想過往我們這個執行秘書在操盤的部分是非常有經驗的 |
transcript.whisperx[12].start |
293.888 |
transcript.whisperx[12].end |
308.16 |
transcript.whisperx[12].text |
那如果說錢不夠可不可以把去年政府超收的稅額5280億你也可以部分先來推動這些你所謂的護盤計畫 |
transcript.whisperx[13].start |
310.049 |
transcript.whisperx[13].end |
310.669 |
transcript.whisperx[13].text |
現在3000多億計畫怎麼用? |
transcript.whisperx[14].start |
328.633 |
transcript.whisperx[14].end |
351.658 |
transcript.whisperx[14].text |
三千多億這個部分我們第一個就是還債也多還了一些債然後原來要借錢的部分也沒有借大概1750億也沒有借那其他的部分會到稅基剩餘當然這個部分稅基剩餘要必須到決算的時候才能夠確定也才能夠去動用現在全民苦哈那我還是站在民眾的立場來 |
transcript.whisperx[15].start |
353.769 |
transcript.whisperx[15].end |
373.174 |
transcript.whisperx[15].text |
跟部長請命啊就是全民還是需要期盼今年可以一個人發一萬塊的紅包一人發一萬快樂常相伴一人發一萬大人小孩通通有希望 |
transcript.whisperx[16].start |
374.437 |
transcript.whisperx[16].end |
394.231 |
transcript.whisperx[16].text |
希望部長記住苦民所苦因為最近便當長得不像話以前一個雞腿便當大概90後來變100部長妳知道現在便當一個多少錢大概100或120左右雞腿便當池上的霸西坑 |
transcript.whisperx[17].start |
395.908 |
transcript.whisperx[17].end |
421.477 |
transcript.whisperx[17].text |
所以我的意思是說爭取的紅包是要來補貼這些嗷嗷嗷代補的一般的市井小民我們真的很需要真的很需要我在外面第一線跑大家都有一些家長可能家裡有兩個小朋友一個是四歲一個是小學一年級他們覺得現在連買奶粉錢 |
transcript.whisperx[18].start |
422.796 |
transcript.whisperx[18].end |
446.672 |
transcript.whisperx[18].text |
都有點困窘啊雖然我們上次奶粉關稅有降奶粉還是繼續漲啊部長你知道這個情況嗎我想委員一直都非常關心這個議題對我還是要繼續關心啊因為民眾的反應我們第一線就要把現實的情況來告訴部長部長另外再請教一下現在銀行啊這些 |
transcript.whisperx[19].start |
449.673 |
transcript.whisperx[19].end |
473.924 |
transcript.whisperx[19].text |
你管得到公費 手上是買了很多的美債有沒有統計累積的金額有多少這個部分我想我們會後會再把它累總以後 會總以後給委員銀行手上買了那麼多的美債那如果他 央行總裁說他到時候都不計利息等於是賴債 就是有點像倒債 |
transcript.whisperx[20].start |
475.185 |
transcript.whisperx[20].end |
503.45 |
transcript.whisperx[20].text |
那你怎麼控管這銀行會不會受到波及我想大家其實央行總裁也好幾次在立法院不管是財委會或昨天的院會質詢裡面都有做回應其實這個大家都這麼在說但是國際間好像對這個部分並沒有太多的討論之所以美債是安全的這個部分當然這個我不是這方面的專家這個怎麼判斷你要不要告訴央行總裁總裁很擔心 |
transcript.whisperx[21].start |
504.86 |
transcript.whisperx[21].end |
523.646 |
transcript.whisperx[21].text |
我想您今天的質詢央行總裁也一定都在看他人沒來啦希望你趕快跟他講因為本席在一年多兩年前就誠心問過總裁說那這個美國派遣公債會不會有問題 |
transcript.whisperx[22].start |
526.625 |
transcript.whisperx[22].end |
551.125 |
transcript.whisperx[22].text |
那當初講他說他會審慎來評估應該是OK可是這幾天他的說法已經開始感覺到是有危險的美國公債十年期的殖利率不斷的飆升啊這很不正常啊好 那我再來問一下 部長什麼叫做息產地 |
transcript.whisperx[23].start |
552.396 |
transcript.whisperx[23].end |
581.128 |
transcript.whisperx[23].text |
過去一二十年來有什麼國的產品在台灣是息產地的或是你要請經濟部說明都可以息產地我想大概大家就是一個稱法就俗稱嘛也就是說它不是我們台灣生產的Made in Taiwan但是是掛著MIT的這樣一個標籤就是這樣子啊對那就是產品的百分之多少是如果不是台灣做的就叫息產地 |
transcript.whisperx[24].start |
582.05 |
transcript.whisperx[24].end |
611.262 |
transcript.whisperx[24].text |
這個部分經濟部他們有相關的規範好請經濟部事實上現在目前從大陸從東南亞進來的物品很多都是半成品啊那請問經濟部你怎麼來界定誰是誰洗的產品有兩個原則如果呢它經過這個處理之後呢附加價值超過35%的話就是認為是台灣的產品另外一個的話就是經過加工之後 |
transcript.whisperx[25].start |
611.704 |
transcript.whisperx[25].end |
626.911 |
transcript.whisperx[25].text |
整個稅號的完全的改變這個就叫做這個台灣的產品或是標籤把它換掉是不是標籤換掉的話就是違規的行為OK好謝謝可是你講的到底算不算呢你有跟川普溝通過嗎 |
transcript.whisperx[26].start |
632.82 |
transcript.whisperx[26].end |
649.571 |
transcript.whisperx[26].text |
這個未來的話我們會透過各種管道去跟美方去做說明因為現在我發現即便那邊講很多最後全部被推翻之前有人說斬釘截鐵說最多10%後來出來是32%現在對台灣的課的稅次長你估計是幾%半導體的部分 |
transcript.whisperx[27].start |
657.114 |
transcript.whisperx[27].end |
675.601 |
transcript.whisperx[27].text |
這個部分的話未來會極力的幫業者來做爭取我想最重要的就是要維護我們國家的利益還要保持產業的競爭力有沒有可能零關稅我們要是談判的情形我們一定會去爭取產業最大的利益還有這個國家的利益不要陪著夫人又折兵 |
transcript.whisperx[28].start |
676.98 |
transcript.whisperx[28].end |
703.472 |
transcript.whisperx[28].text |
上次你在這邊我跟妳建議我們還有很多的籌碼包括央行的外匯存底我們買了大概4000多億的美國公債你也可以做一個談判的基礎以及所有的金融銀行買了多少公債你們手上有資料嗎我們所有的資料都有做萬全的準備多少 |
transcript.whisperx[29].start |
706.462 |
transcript.whisperx[29].end |
731.966 |
transcript.whisperx[29].text |
好 那我再問你一個所有保險公司這點你都不知道啦保險公司買了多少美元公債你也不知道我跟你講啊 加一加喔也是好幾千億的美元啊所以我們都在講央行 其他都沒算進去可是這些都可以作為你談判的一個籌碼是不是 次長 |
transcript.whisperx[30].start |
736.027 |
transcript.whisperx[30].end |
764.261 |
transcript.whisperx[30].text |
是 我們會 談判團隊會把各種對我方有利的都會納入考量好 謝謝你等一下可以跟莊部長聊聊他手上還有很多籌碼他沒有一次告訴你謝謝但是現在面對國難當頭大家一定要團結在一起對不對我們要口徑一致我們要團結對外來保護我們國內的所有中小企業人民的生存 |
transcript.whisperx[31].start |
764.824 |
transcript.whisperx[31].end |
765.905 |
transcript.whisperx[31].text |
好 謝謝 謝謝明察委員接著我們請王世堅委員質詢 |