| IVOD_ID |
167689 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/167689 |
| 日期 |
2026-03-19 |
| 會議資料.會議代碼 |
聯席會議-11-5-19,20-1 |
| 會議資料.會議代碼:str |
第11屆第5會期經濟、財政兩委員會第1次聯席會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
5 |
| 會議資料.會次 |
1 |
| 會議資料.種類 |
聯席會議 |
| 會議資料.委員會代碼[0] |
19 |
| 會議資料.委員會代碼[1] |
20 |
| 會議資料.委員會代碼:str[0] |
經濟委員會 |
| 會議資料.委員會代碼:str[1] |
財政委員會 |
| 會議資料.標題 |
第11屆第5會期經濟、財政兩委員會第1次聯席會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-03-19T09:42:28+08:00 |
| 結束時間 |
2026-03-19T09:50:27+08:00 |
| 影片長度 |
00:07:59 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ddc1636ead3b8e594501f6631bd8f4f15fca415873cf37f141fe0890f16f542894175fee1b8a1d2e5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
謝衣鳯 |
| 委員發言時間 |
09:42:28 - 09:50:27 |
| 會議時間 |
2026-03-19T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期經濟、財政兩委員會第1次聯席會議（事由：審查：
一、 本院委員邱志偉等17人擬具「產業創新條例第十條、第二十三條之一及第二十三條之二條文修正草案」案。
二、 本院委員鍾佳濱等20人擬具「產業創新條例第三十九條、第四十六條及第四十六條之一條文修正草案」案。
三、 本院台灣民眾黨黨團擬具「產業創新條例第三十條條文修正草案」案。
四、 本院委員賴瑞隆等21人擬具「產業創新條例部分條文修正草案」案。
五、 本院委員陳亭妃等19人擬具「產業創新條例部分條文修正草案」案。
六、 本院委員邱鎮軍等17人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。
七、 本院委員王鴻薇等23人擬具「產業創新條例第十條之一條文修正草案」案。
八、 本院委員廖偉翔等19人擬具「產業創新條例第十條之一及第二十三條之一條文修正草案」案。
九、 本院委員丁學忠等16人擬具「產業創新條例第六十七條之一及第七十條條文修正草案」案。
十、本院委員林倩綺等20人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。
十一、本院委員蔡易餘等17人擬具「產業創新條例部分條文修正草案」案。
十二、本院台灣民眾黨黨團擬具「產業創新條例部分條文修正草案」案。(僅詢答)） |
| transcript.pyannote[0].speaker |
SPEAKER_02 |
| transcript.pyannote[0].start |
0.48659375 |
| transcript.pyannote[0].end |
2.19096875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
9.26159375 |
| transcript.pyannote[1].end |
16.53471875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
13.44659375 |
| transcript.pyannote[2].end |
14.18909375 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
19.15034375 |
| transcript.pyannote[3].end |
19.18409375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
19.18409375 |
| transcript.pyannote[4].end |
19.80846875 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
19.23471875 |
| transcript.pyannote[5].end |
19.72409375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
19.80846875 |
| transcript.pyannote[6].end |
19.87596875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
19.87596875 |
| transcript.pyannote[7].end |
22.15409375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
22.32284375 |
| transcript.pyannote[8].end |
24.78659375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
25.79909375 |
| transcript.pyannote[9].end |
26.49096875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
26.77784375 |
| transcript.pyannote[10].end |
32.44784375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
32.44784375 |
| transcript.pyannote[11].end |
38.62409375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
38.62409375 |
| transcript.pyannote[12].end |
42.20159375 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
39.94034375 |
| transcript.pyannote[13].end |
40.46346875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
41.77971875 |
| transcript.pyannote[14].end |
42.94409375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
42.94409375 |
| transcript.pyannote[15].end |
45.88034375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
45.96471875 |
| transcript.pyannote[16].end |
46.55534375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
46.03221875 |
| transcript.pyannote[17].end |
46.45409375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
46.69034375 |
| transcript.pyannote[18].end |
47.98971875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
47.98971875 |
| transcript.pyannote[19].end |
52.05659375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
48.98534375 |
| transcript.pyannote[20].end |
49.35659375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
51.83721875 |
| transcript.pyannote[21].end |
64.47659375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
64.71284375 |
| transcript.pyannote[22].end |
65.80971875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
66.04596875 |
| transcript.pyannote[23].end |
67.49721875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
68.45909375 |
| transcript.pyannote[24].end |
68.89784375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
69.11721875 |
| transcript.pyannote[25].end |
69.69096875 |
| transcript.pyannote[26].speaker |
SPEAKER_02 |
| transcript.pyannote[26].start |
70.18034375 |
| transcript.pyannote[26].end |
81.43596875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
78.51659375 |
| transcript.pyannote[27].end |
79.37721875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
81.18284375 |
| transcript.pyannote[28].end |
85.48596875 |
| transcript.pyannote[29].speaker |
SPEAKER_02 |
| transcript.pyannote[29].start |
82.24596875 |
| transcript.pyannote[29].end |
82.85346875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
85.62096875 |
| transcript.pyannote[30].end |
92.18534375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
92.87721875 |
| transcript.pyannote[31].end |
95.94846875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
96.30284375 |
| transcript.pyannote[32].end |
104.48721875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
105.02721875 |
| transcript.pyannote[33].end |
117.16034375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
117.31221875 |
| transcript.pyannote[34].end |
118.17284375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
118.91534375 |
| transcript.pyannote[35].end |
119.62409375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
120.16409375 |
| transcript.pyannote[36].end |
120.19784375 |
| transcript.pyannote[37].speaker |
SPEAKER_02 |
| transcript.pyannote[37].start |
120.19784375 |
| transcript.pyannote[37].end |
121.64909375 |
| transcript.pyannote[38].speaker |
SPEAKER_02 |
| transcript.pyannote[38].start |
122.15534375 |
| transcript.pyannote[38].end |
131.84159375 |
| transcript.pyannote[39].speaker |
SPEAKER_02 |
| transcript.pyannote[39].start |
132.14534375 |
| transcript.pyannote[39].end |
132.95534375 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
133.19159375 |
| transcript.pyannote[40].end |
135.68909375 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
135.80721875 |
| transcript.pyannote[41].end |
140.58284375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
135.85784375 |
| transcript.pyannote[42].end |
136.09409375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
140.29596875 |
| transcript.pyannote[43].end |
156.22596875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
154.42034375 |
| transcript.pyannote[44].end |
154.62284375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
154.77471875 |
| transcript.pyannote[45].end |
155.88846875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
156.24284375 |
| transcript.pyannote[46].end |
162.09846875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
162.30096875 |
| transcript.pyannote[47].end |
162.31784375 |
| transcript.pyannote[48].speaker |
SPEAKER_02 |
| transcript.pyannote[48].start |
162.31784375 |
| transcript.pyannote[48].end |
162.60471875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
162.60471875 |
| transcript.pyannote[49].end |
162.73971875 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
162.92534375 |
| transcript.pyannote[50].end |
164.24159375 |
| transcript.pyannote[51].speaker |
SPEAKER_02 |
| transcript.pyannote[51].start |
164.66346875 |
| transcript.pyannote[51].end |
169.21971875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
168.67971875 |
| transcript.pyannote[52].end |
169.96221875 |
| transcript.pyannote[53].speaker |
SPEAKER_02 |
| transcript.pyannote[53].start |
169.96221875 |
| transcript.pyannote[53].end |
170.09721875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
170.09721875 |
| transcript.pyannote[54].end |
170.53596875 |
| transcript.pyannote[55].speaker |
SPEAKER_02 |
| transcript.pyannote[55].start |
170.53596875 |
| transcript.pyannote[55].end |
179.20971875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
170.58659375 |
| transcript.pyannote[56].end |
171.09284375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
175.51409375 |
| transcript.pyannote[57].end |
175.71659375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
176.96534375 |
| transcript.pyannote[58].end |
178.24784375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
179.29409375 |
| transcript.pyannote[59].end |
185.09909375 |
| transcript.pyannote[60].speaker |
SPEAKER_02 |
| transcript.pyannote[60].start |
181.43721875 |
| transcript.pyannote[60].end |
181.72409375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
185.33534375 |
| transcript.pyannote[61].end |
186.22971875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
186.68534375 |
| transcript.pyannote[62].end |
187.02284375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
187.34346875 |
| transcript.pyannote[63].end |
188.25471875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
188.54159375 |
| transcript.pyannote[64].end |
189.60471875 |
| transcript.pyannote[65].speaker |
SPEAKER_02 |
| transcript.pyannote[65].start |
189.31784375 |
| transcript.pyannote[65].end |
189.58784375 |
| transcript.pyannote[66].speaker |
SPEAKER_02 |
| transcript.pyannote[66].start |
189.60471875 |
| transcript.pyannote[66].end |
189.99284375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
190.22909375 |
| transcript.pyannote[67].end |
191.24159375 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
191.24159375 |
| transcript.pyannote[68].end |
191.44409375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
191.44409375 |
| transcript.pyannote[69].end |
191.88284375 |
| transcript.pyannote[70].speaker |
SPEAKER_02 |
| transcript.pyannote[70].start |
191.88284375 |
| transcript.pyannote[70].end |
202.76721875 |
| transcript.pyannote[71].speaker |
SPEAKER_02 |
| transcript.pyannote[71].start |
203.00346875 |
| transcript.pyannote[71].end |
214.02284375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
214.02284375 |
| transcript.pyannote[72].end |
222.13971875 |
| transcript.pyannote[73].speaker |
SPEAKER_02 |
| transcript.pyannote[73].start |
222.20721875 |
| transcript.pyannote[73].end |
222.69659375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
222.69659375 |
| transcript.pyannote[74].end |
245.07284375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
241.46159375 |
| transcript.pyannote[75].end |
241.59659375 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
245.56221875 |
| transcript.pyannote[76].end |
253.69596875 |
| transcript.pyannote[77].speaker |
SPEAKER_02 |
| transcript.pyannote[77].start |
253.69596875 |
| transcript.pyannote[77].end |
261.57659375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
261.57659375 |
| transcript.pyannote[78].end |
261.77909375 |
| transcript.pyannote[79].speaker |
SPEAKER_02 |
| transcript.pyannote[79].start |
261.77909375 |
| transcript.pyannote[79].end |
262.03221875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
262.03221875 |
| transcript.pyannote[80].end |
262.06596875 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
262.06596875 |
| transcript.pyannote[81].end |
262.13346875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
262.13346875 |
| transcript.pyannote[82].end |
301.70534375 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
265.74471875 |
| transcript.pyannote[83].end |
266.14971875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
302.48159375 |
| transcript.pyannote[84].end |
313.21409375 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
302.49846875 |
| transcript.pyannote[85].end |
304.47284375 |
| transcript.pyannote[86].speaker |
SPEAKER_02 |
| transcript.pyannote[86].start |
310.48034375 |
| transcript.pyannote[86].end |
310.90221875 |
| transcript.pyannote[87].speaker |
SPEAKER_02 |
| transcript.pyannote[87].start |
312.45471875 |
| transcript.pyannote[87].end |
321.73596875 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
321.82034375 |
| transcript.pyannote[88].end |
322.91721875 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
323.15346875 |
| transcript.pyannote[89].end |
326.15721875 |
| transcript.pyannote[90].speaker |
SPEAKER_02 |
| transcript.pyannote[90].start |
326.57909375 |
| transcript.pyannote[90].end |
327.91221875 |
| transcript.pyannote[91].speaker |
SPEAKER_02 |
| transcript.pyannote[91].start |
328.13159375 |
| transcript.pyannote[91].end |
330.29159375 |
| transcript.pyannote[92].speaker |
SPEAKER_02 |
| transcript.pyannote[92].start |
330.37596875 |
| transcript.pyannote[92].end |
335.10096875 |
| transcript.pyannote[93].speaker |
SPEAKER_02 |
| transcript.pyannote[93].start |
335.32034375 |
| transcript.pyannote[93].end |
336.73784375 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
337.12596875 |
| transcript.pyannote[94].end |
338.62784375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
338.77971875 |
| transcript.pyannote[95].end |
365.91471875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
366.91034375 |
| transcript.pyannote[96].end |
380.61284375 |
| transcript.pyannote[97].speaker |
SPEAKER_02 |
| transcript.pyannote[97].start |
377.01846875 |
| transcript.pyannote[97].end |
377.57534375 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
380.61284375 |
| transcript.pyannote[98].end |
380.89971875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
380.66346875 |
| transcript.pyannote[99].end |
382.06409375 |
| transcript.pyannote[100].speaker |
SPEAKER_02 |
| transcript.pyannote[100].start |
382.06409375 |
| transcript.pyannote[100].end |
396.91409375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
386.89034375 |
| transcript.pyannote[101].end |
387.16034375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
394.02846875 |
| transcript.pyannote[102].end |
395.24346875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
396.23909375 |
| transcript.pyannote[103].end |
399.46221875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
399.88409375 |
| transcript.pyannote[104].end |
403.98471875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
404.42346875 |
| transcript.pyannote[105].end |
408.84471875 |
| transcript.pyannote[106].speaker |
SPEAKER_02 |
| transcript.pyannote[106].start |
407.57909375 |
| transcript.pyannote[106].end |
418.07534375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
409.03034375 |
| transcript.pyannote[107].end |
409.23284375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
412.65846875 |
| transcript.pyannote[108].end |
412.96221875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
413.68784375 |
| transcript.pyannote[109].end |
413.94096875 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
418.64909375 |
| transcript.pyannote[110].end |
423.45846875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
418.69971875 |
| transcript.pyannote[111].end |
419.56034375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
423.12096875 |
| transcript.pyannote[112].end |
428.95971875 |
| transcript.pyannote[113].speaker |
SPEAKER_02 |
| transcript.pyannote[113].start |
428.95971875 |
| transcript.pyannote[113].end |
431.71034375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
429.92159375 |
| transcript.pyannote[114].end |
438.86534375 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
438.67971875 |
| transcript.pyannote[115].end |
441.68346875 |
| transcript.pyannote[116].speaker |
SPEAKER_02 |
| transcript.pyannote[116].start |
441.75096875 |
| transcript.pyannote[116].end |
445.49721875 |
| transcript.pyannote[117].speaker |
SPEAKER_02 |
| transcript.pyannote[117].start |
445.56471875 |
| transcript.pyannote[117].end |
447.37034375 |
| transcript.pyannote[118].speaker |
SPEAKER_02 |
| transcript.pyannote[118].start |
447.64034375 |
| transcript.pyannote[118].end |
448.88909375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
447.67409375 |
| transcript.pyannote[119].end |
448.31534375 |
| transcript.pyannote[120].speaker |
SPEAKER_02 |
| transcript.pyannote[120].start |
449.17596875 |
| transcript.pyannote[120].end |
463.94159375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
462.38909375 |
| transcript.pyannote[121].end |
466.35471875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
466.77659375 |
| transcript.pyannote[122].end |
478.15034375 |
| transcript.pyannote[123].speaker |
SPEAKER_02 |
| transcript.pyannote[123].start |
477.28971875 |
| transcript.pyannote[123].end |
479.36534375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
479.36534375 |
| transcript.pyannote[124].end |
480.83346875 |
| transcript.pyannote[125].speaker |
SPEAKER_02 |
| transcript.pyannote[125].start |
479.38221875 |
| transcript.pyannote[125].end |
479.77034375 |
| transcript.whisperx[0].start |
0.729 |
| transcript.whisperx[0].end |
10.938 |
| transcript.whisperx[0].text |
謝謝主席我想要請國發會葉主委以及我們經濟部的何次長主委早請教一下到底中東衝突什麼時候結束 |
| transcript.whisperx[1].start |
25.868 |
| transcript.whisperx[1].end |
45.405 |
| transcript.whisperx[1].text |
美國他說很快結束但是目前看起來並沒有這麼快結束有一些智庫報告啦就是說機率比較大是在4週到8週內會結束那是美國智庫嘛可是伊朗好像說不會伊朗說不可能這麼快結束 |
| transcript.whisperx[2].start |
46.796 |
| transcript.whisperx[2].end |
67.337 |
| transcript.whisperx[2].text |
不能單方面所以現在行政院你們所推估的政策裡面以及我們現在在在中東的原物料的相關的供應你們推估都是很快結束的這個scenario是不是 |
| transcript.whisperx[3].start |
71.958 |
| transcript.whisperx[3].end |
91.869 |
| transcript.whisperx[3].text |
因為整個物價的穩定行政院的政府院長他每週都會召開物價穩定小組會我是在問說你們推估的就是說這個中東沖煮很快結束嗎四到六週結束嗎但是如果超過半年呢 |
| transcript.whisperx[4].start |
92.95 |
| transcript.whisperx[4].end |
117.575 |
| transcript.whisperx[4].text |
那目前我們現在的像氦氣這是半導體的就是供應鏈裡面重要的原物料那如果中東的衝突超過半年以上那半導體的原物料像氦氣以及我那天也問過了像農業肥料的這個液態氮等到底會不會斷鏈 |
| transcript.whisperx[5].start |
122.336 |
| transcript.whisperx[5].end |
127.52 |
| transcript.whisperx[5].text |
跟我們報告 氦氣是不會斷鏈的因為氦氣主要的供應當然是來自卡達佔三分之一但是我們的氦氣的供應是來自於我們的這個三大氣體商就包括蓮華還有這個三福因為卡達它是最重要的就是說你在LNG生產過程當中的這個它是這個那個 |
| transcript.whisperx[6].start |
151.036 |
| transcript.whisperx[6].end |
175.857 |
| transcript.whisperx[6].text |
它氦氣的這個副產品是LNG生產的副產品那如果你不是從卡達不是從赫姆治海峽那你是從哪裡來你說最主要是美國美國是不是對所以這部分絕對是不會有斷鏈的情況所以美國會無限度的供應我們所以這個我們跟三大氣體商都已經確認過了所以美國會供應我們不會斷氣的情況 |
| transcript.whisperx[7].start |
179.4 |
| transcript.whisperx[7].end |
193.553 |
| transcript.whisperx[7].text |
所以半導體的供應鏈是沒有影響的絕對沒有問題沒有影響的半年以上呢絕對沒有問題那半年以上都不會有問題嗎是所以美國有承諾你是因為我們的溢價能力很高 |
| transcript.whisperx[8].start |
194.854 |
| transcript.whisperx[8].end |
221.544 |
| transcript.whisperx[8].text |
對 我們半導體的溢價能力很高所以美國有承諾就對了應該說我們三大汽體商他們跟我們的這個半導體產業其實是緊密連結而且他是供應他是他們很大量的這個供應商所以這部分是沒有問題的那我請教一下喔你說的是你們今天我們產算條例在講的是納入AI跟減碳的項目嗎 |
| transcript.whisperx[9].start |
222.304 |
| transcript.whisperx[9].end |
244.689 |
| transcript.whisperx[9].text |
那這個部分其實AI以及減碳的項目雖然說上限是20億喔可是大部分現在我遇到的中小企業來講他們認為這都是否半導體的這種大型企業對於中小企業呢你有沒有辦法協助中小企業它 |
| transcript.whisperx[10].start |
245.649 |
| transcript.whisperx[10].end |
260.455 |
| transcript.whisperx[10].text |
也許有些傳產他甚至沒有辦法有AI的設備啊AI的伺服器啊等等的這怎麼樣處理呢其實我們這個申請案裡面也不見得全部都是大企業也有許多是中小企業 |
| transcript.whisperx[11].start |
263.377 |
| transcript.whisperx[11].end |
274.563 |
| transcript.whisperx[11].text |
從這個修法的條例裡面當然是一視同仁嘛可是我說的是中小企業對於就是說他AI升級的需求以及減碳需求就不像是半導體產業這麼大嘛那這樣 |
| transcript.whisperx[12].start |
277.604 |
| transcript.whisperx[12].end |
294.158 |
| transcript.whisperx[12].text |
這樣子的情況下還有他們沒有辦法馬上立即的進入AI的生產所以你們怎麼樣子協助他們因為你怎麼樣協助他能夠適應這個AI的生產以及現在AI的生產也發生了問題對不對我們也看到了AI現在生產的養龍蝦的效應等等的 |
| transcript.whisperx[13].start |
304.098 |
| transcript.whisperx[13].end |
325.967 |
| transcript.whisperx[13].text |
不代表說AI的生產就馬上能夠適用於所有企業的生產的結構裡面我們也考慮到委員這個問題因為中老企業畢竟他的資源比較少所以我們廣播展也成立了輔導團來協助我們中老企業而且我們這次要配合461的特別預算 |
| transcript.whisperx[14].start |
326.647 |
| transcript.whisperx[14].end |
341.214 |
| transcript.whisperx[14].text |
所以也鼓勵這個企業做雙手轉型他們在採購設備的部分我們可以有4成的補助那也就是說他如果採購設備的話也可以來享受我們這樣的一個投資低減對我說的就是說第一個當然你說輔導團我就說在怎麼樣子第一個啦 |
| transcript.whisperx[15].start |
347.298 |
| transcript.whisperx[15].end |
365.512 |
| transcript.whisperx[15].text |
我們就是需要移轉就是除了美國以外移轉其他的那個其他的就是說出口的國但是其他出口國裡面還遇到了現在就是成長疲弱的問題因為就是因為這個對等關稅歐洲其他國家可能都面臨到 |
| transcript.whisperx[16].start |
367.1 |
| transcript.whisperx[16].end |
381.542 |
| transcript.whisperx[16].text |
這些疲弱問題甚至中東本來有機會上漲你看中東現在又面臨到中東的衝突等等那這樣子的情況下大家怎麼轉你知道嗎現在是全球都都很難轉耶對那你要怎麼轉是 |
| transcript.whisperx[17].start |
382.803 |
| transcript.whisperx[17].end |
402.942 |
| transcript.whisperx[17].text |
當然我們希望這個戰事能夠趕快結束現在其實很多台灣的傳產業者其實也受惠於我們政府的一些政策所以你們還是預估你們沒有預估超過半年以上的情況嗎 |
| transcript.whisperx[18].start |
404.903 |
| transcript.whisperx[18].end |
420.75 |
| transcript.whisperx[18].text |
你們目前都沒有預估超過半年以上有可能就超過半年以上完全就是在川普總統的決策當然我們是要做足完全的準備你們有沒有預估我們也無從預估你們沒有半年以上的 |
| transcript.whisperx[19].start |
426.693 |
| transcript.whisperx[19].end |
446.292 |
| transcript.whisperx[19].text |
預估的當然我們會用把各種我現在講的只是半導體的供應鏈那其實油啊或者是其他的有沒有肥料等等的這都會相關的影響對其實這個每一週我們都有針對這樣的一個物價穩定的部分在行政院副院長的這樣的一個層級來來討論所以 |
| transcript.whisperx[20].start |
449.335 |
| transcript.whisperx[20].end |
454.519 |
| transcript.whisperx[20].text |
也就是說這個戰事維持多久我們這個機制也就會因應這樣的一個需要會做討論所以我想這個院裡面也都有做出了準備主席再講我沒有就是我也要 |
| transcript.whisperx[21].start |
467.057 |
| transcript.whisperx[21].end |
479.751 |
| transcript.whisperx[21].text |
結束我的質詢但是我發現可能我們行政院一定要預估超過半年以上相關的原物料以及這些物價的因應的方式我們都有準備好謝謝好謝謝委員 |