IVOD_ID |
160204 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160204 |
日期 |
2025-04-16 |
會議資料.會議代碼 |
委員會-11-3-19-9 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第9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 |
9 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第3會期經濟委員會第9次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-16T10:42:06+08:00 |
結束時間 |
2025-04-16T10:51:13+08:00 |
影片長度 |
00:09:07 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f9d2e74df98279dff957cff833071443b2710058b23c04f8d146475ae9ed72cd488e0b1b2959cb4d5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
鄭天財Sra Kacaw |
委員發言時間 |
10:42:06 - 10:51:13 |
會議時間 |
2025-04-16T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第9次全體委員會議議程(事由:邀請國家發展委員會主任委員、經濟部部長及財政部首長就「因應國際貿易情勢變化,如何協助國內廠商擴大國際市場」進行報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
17.47971875 |
transcript.pyannote[0].end |
18.17159375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
18.42471875 |
transcript.pyannote[1].end |
19.45409375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
20.17971875 |
transcript.pyannote[2].end |
20.46659375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
20.75346875 |
transcript.pyannote[3].end |
22.64346875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
23.75721875 |
transcript.pyannote[4].end |
24.76971875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
31.92471875 |
transcript.pyannote[5].end |
32.95409375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
33.56159375 |
transcript.pyannote[6].end |
34.15221875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
35.72159375 |
transcript.pyannote[7].end |
38.11784375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
39.23159375 |
transcript.pyannote[8].end |
40.59846875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
40.90221875 |
transcript.pyannote[9].end |
42.11721875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
42.42096875 |
transcript.pyannote[10].end |
44.86784375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
45.64409375 |
transcript.pyannote[11].end |
46.25159375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
46.82534375 |
transcript.pyannote[12].end |
48.81659375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
49.13721875 |
transcript.pyannote[13].end |
49.94721875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
51.02721875 |
transcript.pyannote[14].end |
52.19159375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
52.71471875 |
transcript.pyannote[15].end |
53.42346875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
54.09846875 |
transcript.pyannote[16].end |
54.43596875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
54.67221875 |
transcript.pyannote[17].end |
57.08534375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
57.92909375 |
transcript.pyannote[18].end |
60.79784375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
61.32096875 |
transcript.pyannote[19].end |
62.67096875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
63.04221875 |
transcript.pyannote[20].end |
64.18971875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
64.64534375 |
transcript.pyannote[21].end |
67.64909375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
68.44221875 |
transcript.pyannote[22].end |
69.20159375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
69.72471875 |
transcript.pyannote[23].end |
71.14221875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
71.47971875 |
transcript.pyannote[24].end |
73.82534375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
74.71971875 |
transcript.pyannote[25].end |
75.29346875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
76.03596875 |
transcript.pyannote[26].end |
77.03159375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
77.40284375 |
transcript.pyannote[27].end |
79.22534375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
80.18721875 |
transcript.pyannote[28].end |
82.81971875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
84.23721875 |
transcript.pyannote[29].end |
86.34659375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
87.34221875 |
transcript.pyannote[30].end |
90.16034375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
91.13909375 |
transcript.pyannote[31].end |
93.38346875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
94.61534375 |
transcript.pyannote[32].end |
96.72471875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
97.16346875 |
transcript.pyannote[33].end |
97.93971875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
98.73284375 |
transcript.pyannote[34].end |
101.41596875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
101.95596875 |
transcript.pyannote[35].end |
102.44534375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
102.96846875 |
transcript.pyannote[36].end |
104.94284375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
105.11159375 |
transcript.pyannote[37].end |
106.44471875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
107.52471875 |
transcript.pyannote[38].end |
108.77346875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
109.53284375 |
transcript.pyannote[39].end |
110.79846875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
111.81096875 |
transcript.pyannote[40].end |
114.20721875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
114.39284375 |
transcript.pyannote[41].end |
115.30409375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
116.46846875 |
transcript.pyannote[42].end |
118.08846875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
119.06721875 |
transcript.pyannote[43].end |
120.29909375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
120.80534375 |
transcript.pyannote[44].end |
124.55159375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
125.58096875 |
transcript.pyannote[45].end |
127.45409375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
127.58909375 |
transcript.pyannote[46].end |
128.17971875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
129.14159375 |
transcript.pyannote[47].end |
131.31846875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
131.79096875 |
transcript.pyannote[48].end |
133.52909375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
134.28846875 |
transcript.pyannote[49].end |
136.80284375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
137.74784375 |
transcript.pyannote[50].end |
139.01346875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
139.46909375 |
transcript.pyannote[51].end |
140.93721875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
141.35909375 |
transcript.pyannote[52].end |
142.64159375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
143.14784375 |
transcript.pyannote[53].end |
145.96596875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
146.25284375 |
transcript.pyannote[54].end |
147.53534375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
147.99096875 |
transcript.pyannote[55].end |
148.39596875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
149.25659375 |
transcript.pyannote[56].end |
158.53784375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
159.28034375 |
transcript.pyannote[57].end |
160.78221875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
160.90034375 |
transcript.pyannote[58].end |
163.22909375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
163.56659375 |
transcript.pyannote[59].end |
164.49471875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
165.16971875 |
transcript.pyannote[60].end |
168.02159375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
170.13096875 |
transcript.pyannote[61].end |
170.89034375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
171.00846875 |
transcript.pyannote[62].end |
172.02096875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
172.74659375 |
transcript.pyannote[63].end |
178.50096875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
178.90596875 |
transcript.pyannote[64].end |
185.95971875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
186.16221875 |
transcript.pyannote[65].end |
192.01784375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
192.67596875 |
transcript.pyannote[66].end |
194.46471875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
195.05534375 |
transcript.pyannote[67].end |
195.98346875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
196.65846875 |
transcript.pyannote[68].end |
197.46846875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
199.20659375 |
transcript.pyannote[69].end |
201.28221875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
201.48471875 |
transcript.pyannote[70].end |
204.15096875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
204.80909375 |
transcript.pyannote[71].end |
208.72409375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
209.11221875 |
transcript.pyannote[72].end |
210.49596875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
210.76596875 |
transcript.pyannote[73].end |
212.84159375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
213.31409375 |
transcript.pyannote[74].end |
215.99721875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
217.06034375 |
transcript.pyannote[75].end |
218.46096875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
218.96721875 |
transcript.pyannote[76].end |
220.58721875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
221.31284375 |
transcript.pyannote[77].end |
222.20721875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
223.06784375 |
transcript.pyannote[78].end |
223.70909375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
224.36721875 |
transcript.pyannote[79].end |
225.85221875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
226.59471875 |
transcript.pyannote[80].end |
229.07534375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
229.78409375 |
transcript.pyannote[81].end |
230.08784375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
230.76284375 |
transcript.pyannote[82].end |
232.38284375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
232.77096875 |
transcript.pyannote[83].end |
234.47534375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
234.76221875 |
transcript.pyannote[84].end |
237.54659375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
238.37346875 |
transcript.pyannote[85].end |
241.36034375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
241.76534375 |
transcript.pyannote[86].end |
244.41471875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
244.51596875 |
transcript.pyannote[87].end |
245.86596875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
246.47346875 |
transcript.pyannote[88].end |
247.77284375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
250.10159375 |
transcript.pyannote[89].end |
250.55721875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
252.59909375 |
transcript.pyannote[90].end |
253.51034375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
254.30346875 |
transcript.pyannote[91].end |
255.33284375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
256.21034375 |
transcript.pyannote[92].end |
260.31096875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
261.25596875 |
transcript.pyannote[93].end |
261.40784375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
261.88034375 |
transcript.pyannote[94].end |
263.17971875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
263.78721875 |
transcript.pyannote[95].end |
265.52534375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
265.86284375 |
transcript.pyannote[96].end |
267.07784375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
267.43221875 |
transcript.pyannote[97].end |
268.00596875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
268.47846875 |
transcript.pyannote[98].end |
269.13659375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
269.96346875 |
transcript.pyannote[99].end |
272.66346875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
273.49034375 |
transcript.pyannote[100].end |
274.04721875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
274.68846875 |
transcript.pyannote[101].end |
274.95846875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
275.97096875 |
transcript.pyannote[102].end |
278.08034375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
278.62034375 |
transcript.pyannote[103].end |
279.51471875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
280.02096875 |
transcript.pyannote[104].end |
281.20221875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
282.31596875 |
transcript.pyannote[105].end |
283.34534375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
283.83471875 |
transcript.pyannote[106].end |
286.50096875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
288.08721875 |
transcript.pyannote[107].end |
298.54971875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
299.27534375 |
transcript.pyannote[108].end |
303.86534375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
304.21971875 |
transcript.pyannote[109].end |
308.43846875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
308.69159375 |
transcript.pyannote[110].end |
309.43409375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
310.00784375 |
transcript.pyannote[111].end |
310.95284375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
311.29034375 |
transcript.pyannote[112].end |
316.97721875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
317.50034375 |
transcript.pyannote[113].end |
318.32721875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
319.06971875 |
transcript.pyannote[114].end |
323.38971875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
323.86221875 |
transcript.pyannote[115].end |
325.60034375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
325.97159375 |
transcript.pyannote[116].end |
326.88284375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
327.15284375 |
transcript.pyannote[117].end |
328.28346875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
328.63784375 |
transcript.pyannote[118].end |
332.87346875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
334.81409375 |
transcript.pyannote[119].end |
336.11346875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
336.53534375 |
transcript.pyannote[120].end |
337.32846875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
338.45909375 |
transcript.pyannote[121].end |
344.68596875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
345.51284375 |
transcript.pyannote[122].end |
347.31846875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
347.80784375 |
transcript.pyannote[123].end |
348.06096875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
348.38159375 |
transcript.pyannote[124].end |
349.96784375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
350.20409375 |
transcript.pyannote[125].end |
354.20346875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
355.09784375 |
transcript.pyannote[126].end |
356.81909375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
357.00471875 |
transcript.pyannote[127].end |
358.94534375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
359.45159375 |
transcript.pyannote[128].end |
360.49784375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
360.83534375 |
transcript.pyannote[129].end |
366.03284375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
366.80909375 |
transcript.pyannote[130].end |
368.80034375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
369.94784375 |
transcript.pyannote[131].end |
370.57221875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
371.09534375 |
transcript.pyannote[132].end |
372.90096875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
373.40721875 |
transcript.pyannote[133].end |
375.88784375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
376.54596875 |
transcript.pyannote[134].end |
377.52471875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
378.50346875 |
transcript.pyannote[135].end |
379.65096875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
379.75221875 |
transcript.pyannote[136].end |
380.89971875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
381.70971875 |
transcript.pyannote[137].end |
382.06409375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
382.46909375 |
transcript.pyannote[138].end |
383.59971875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
384.44346875 |
transcript.pyannote[139].end |
384.67971875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
385.08471875 |
transcript.pyannote[140].end |
387.31221875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
388.22346875 |
transcript.pyannote[141].end |
389.20221875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
389.91096875 |
transcript.pyannote[142].end |
393.50534375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
394.21409375 |
transcript.pyannote[143].end |
395.63159375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
396.23909375 |
transcript.pyannote[144].end |
397.52159375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
398.29784375 |
transcript.pyannote[145].end |
400.13721875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
400.98096875 |
transcript.pyannote[146].end |
401.48721875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
401.74034375 |
transcript.pyannote[147].end |
402.78659375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
403.27596875 |
transcript.pyannote[148].end |
404.49096875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
405.52034375 |
transcript.pyannote[149].end |
406.14471875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
406.98846875 |
transcript.pyannote[150].end |
407.27534375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
407.56221875 |
transcript.pyannote[151].end |
409.73909375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
410.36346875 |
transcript.pyannote[152].end |
413.97471875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
414.85221875 |
transcript.pyannote[153].end |
416.13471875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
416.60721875 |
transcript.pyannote[154].end |
418.86846875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
419.30721875 |
transcript.pyannote[155].end |
420.67409375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
420.85971875 |
transcript.pyannote[156].end |
438.76409375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
439.23659375 |
transcript.pyannote[157].end |
441.32909375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
441.80159375 |
transcript.pyannote[158].end |
443.16846875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
443.84346875 |
transcript.pyannote[159].end |
445.51409375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
445.98659375 |
transcript.pyannote[160].end |
446.64471875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
447.25221875 |
transcript.pyannote[161].end |
447.77534375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
447.87659375 |
transcript.pyannote[162].end |
451.74096875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
452.38221875 |
transcript.pyannote[163].end |
453.81659375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
454.42409375 |
transcript.pyannote[164].end |
454.76159375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
455.62221875 |
transcript.pyannote[165].end |
457.36034375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
457.69784375 |
transcript.pyannote[166].end |
459.82409375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
459.99284375 |
transcript.pyannote[167].end |
460.58346875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
461.15721875 |
transcript.pyannote[168].end |
464.53221875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
464.75159375 |
transcript.pyannote[169].end |
467.80596875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
467.82284375 |
transcript.pyannote[170].end |
470.55659375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
470.96159375 |
transcript.pyannote[171].end |
474.15096875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
474.53909375 |
transcript.pyannote[172].end |
477.64409375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
478.21784375 |
transcript.pyannote[173].end |
479.61846875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
480.36096875 |
transcript.pyannote[174].end |
483.41534375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
484.83284375 |
transcript.pyannote[175].end |
484.86659375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
484.86659375 |
transcript.pyannote[176].end |
486.70596875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
487.29659375 |
transcript.pyannote[177].end |
489.65909375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
490.16534375 |
transcript.pyannote[178].end |
499.21034375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
499.46346875 |
transcript.pyannote[179].end |
502.68659375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
503.31096875 |
transcript.pyannote[180].end |
505.94346875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
505.97721875 |
transcript.pyannote[181].end |
526.54784375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
526.86846875 |
transcript.pyannote[182].end |
529.68659375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
530.12534375 |
transcript.pyannote[183].end |
535.32284375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
535.72784375 |
transcript.pyannote[184].end |
539.47409375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
540.01409375 |
transcript.pyannote[185].end |
542.44409375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
542.66346875 |
transcript.pyannote[186].end |
544.84034375 |
transcript.whisperx[0].start |
17.698 |
transcript.whisperx[0].end |
36.049 |
transcript.whisperx[0].text |
主席有請主委還有那個郭部長劉主委郭部長兩位好這個先談這個預算解凍案 |
transcript.whisperx[1].start |
39.541 |
transcript.whisperx[1].end |
67.472 |
transcript.whisperx[1].text |
這個部分的通商這是立法院一直以來都有的通商然後呢通商其實就是授權給行政部門所以組織總署這麼慢這個有它的一個特殊的考量那我認為是行政院院長特殊的考量但是我們作為部會的首長要去協助溝通協調尤其是 |
transcript.whisperx[2].start |
69.059 |
transcript.whisperx[2].end |
97.793 |
transcript.whisperx[2].text |
經濟部尤其是經濟部因為這涉及到很多我們的經濟的發展尤其是我們現在又面臨這個川普的關稅的問題所以這個部分解凍案非常很清楚很明確怎麼樣的時候解凍條件都很明確通商就是就是授權給行政院到底要刪哪個那更好啊 |
transcript.whisperx[3].start |
98.986 |
transcript.whisperx[3].end |
128.009 |
transcript.whisperx[3].text |
所以這個都不是理由這是第一個第二個要跟剛才那個鄭正前委員提到脫中入北這個是最新的是這個在民進黨中央黨部開會的時候一個專題報告然後賴總統當時他以這個民進黨主席的身份主持這個會議他很贊同脫中入北 |
transcript.whisperx[4].start |
129.195 |
transcript.whisperx[4].end |
146.626 |
transcript.whisperx[4].text |
然後被引申為托中入美所以這個不是一個大議題非常重要對我們整個經貿有很大的關係所以這個部分這個當然主委不知道這個事情所以這個部分還是要審慎的該 |
transcript.whisperx[5].start |
149.981 |
transcript.whisperx[5].end |
170.171 |
transcript.whisperx[5].text |
該溝通該建議的就應該建議這個他的影響的層面應該要做一個審慎的提供給這個總統來去做一個參考來做一個好這個就請就請那個劉志偉請回座好這個部長是 |
transcript.whisperx[6].start |
173.256 |
transcript.whisperx[6].end |
183.659 |
transcript.whisperx[6].text |
這個美國總統川普真的是上次我們已經談過他是多變非常多變然後上次我們也提到75個已聯繫美國對這個國家當初你也認為我們是在這75個裡面這個是先維持10%但是我們很遺憾的就是說這個這樣的一個 |
transcript.whisperx[7].start |
199.226 |
transcript.whisperx[7].end |
221.991 |
transcript.whisperx[7].text |
美國所批貿易談判對象美國財政部長貝森特他提了這五個優先談判的國家我們沒有被列入所以我們要積極我們要加油我們要透過各種各種的管道各種管道要去跟這個美國尤其是 |
transcript.whisperx[8].start |
223.123 |
transcript.whisperx[8].end |
247.613 |
transcript.whisperx[8].text |
尤其是台積電已經去了透過他的管道啊他們的關係啊所以很多的一個要去積極的部分這個部分是這個我的建議因為在這樣的一個美國首批談判對象裡面他列了相關的這些時程跟各國的立場然後呢很重要的這個 |
transcript.whisperx[9].start |
252.622 |
transcript.whisperx[9].end |
280.536 |
transcript.whisperx[9].text |
美國財政部長提到通常第一個達成協議的人會拿到最好的協議你看這個是一個所以我們要積極要加油在這樣的一個非常不穩定的川普總統的情況之下要過透過各種各種的管道當然我們的談判的籌碼 |
transcript.whisperx[10].start |
282.369 |
transcript.whisperx[10].end |
302.243 |
transcript.whisperx[10].text |
也要善用上次我有建議我們也要善用這個部長經濟部的報告今天也提到了這個協助國內廠商擴大國際市場在短期方面在中長期方面都有提了非常詳細的非常詳細的一個說明 |
transcript.whisperx[11].start |
304.624 |
transcript.whisperx[11].end |
331.36 |
transcript.whisperx[11].text |
當然就是要繼續當然部長也提到會繼續聽取這個產業界各方的意見各方的意見這個是都應該要繼續的部分當然這個面臨這個多變而且是非常非常的不穩定的而且多變的總統川普總統的一個情況之下確實是有他的難度但是必須要去積極要去積極 |
transcript.whisperx[12].start |
336.702 |
transcript.whisperx[12].end |
356.048 |
transcript.whisperx[12].text |
上次880億的部分在經濟部所提的這些項目裡面除了經費額度 院長有時候可以再考量到底是要增加還是要減少當然會涉及到談判的結果 |
transcript.whisperx[13].start |
359.72 |
transcript.whisperx[13].end |
386.943 |
transcript.whisperx[13].text |
所以這個部分是一個在我們在跟產業界溝通協調或是說在這個金額到底要多少的情況之下當然這個業界的部分你們都考量到但是我們也必須去考慮到勞工勞工的部分所以也要去跟這些業界勞工親王不要受影響 |
transcript.whisperx[14].start |
388.537 |
transcript.whisperx[14].end |
413.516 |
transcript.whisperx[14].text |
政府怎麼樣去投入相關的資源去協助企業界但是勞工的部分千萬不要受影響那另外就是時間的關係這個除了業界的建議那因為在野黨國民黨跟縣市首長而這些縣市國民黨的縣市首長也跟業界 |
transcript.whisperx[15].start |
414.915 |
transcript.whisperx[15].end |
442.492 |
transcript.whisperx[15].text |
有很多的一個這個了解所提出的這些譬如說第一項紓困優先擴大規模兩千億這個也都拿來這個國發會跟這個經濟部包括別的部會都應該所以這個不是不是像某某個委員所講的只有入客來台不是只有這裡面沒有寫到入客來台所以第一項這個 |
transcript.whisperx[16].start |
444.208 |
transcript.whisperx[16].end |
460.287 |
transcript.whisperx[16].text |
蘇昆約擴大規模然後呢這個相關的擴大內需觀光先行產業升級這個部分是一個啟動國際談判擴展多元所以我們的那個就是 |
transcript.whisperx[17].start |
461.429 |
transcript.whisperx[17].end |
488.848 |
transcript.whisperx[17].text |
談判或是怎麼樣去因應或是去規劃因應的時候各方的意見各方的意見都給這個來去做做評估去採納這個是一個在這樣一個面臨非常困難的而且是從所未有的部長是不是從所未有報告委員我想這些部分都是方向 |
transcript.whisperx[18].start |
490.236 |
transcript.whisperx[18].end |
500.209 |
transcript.whisperx[18].text |
那這個事實上我們現在政府都有在進行我們有具體的目標我們有具體的數字那也謝謝這個國民黨 |
transcript.whisperx[19].start |
503.376 |
transcript.whisperx[19].end |
525.228 |
transcript.whisperx[19].text |
大概這個方向大家都差不多啦但是沒有方法那我們是目前來講具體的做法都有我們也歡迎各位能夠就我們現在的具體的做法上面譬如說剛才講說880億可能不足這個也謝謝委員的關注那我們在這個地方我們也談過了如果880億是不夠的 |
transcript.whisperx[20].start |
526.949 |
transcript.whisperx[20].end |
529.451 |
transcript.whisperx[20].text |
我們願意往上加碼,謝謝委員的提示 |