| IVOD_ID |
164367 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164367 |
| 日期 |
2025-10-20 |
| 會議資料.會議代碼 |
委員會-11-4-19-5 |
| 會議資料.會議代碼:str |
第11屆第4會期經濟委員會第5次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
5 |
| 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4會期經濟委員會第5次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-10-20T10:06:41+08:00 |
| 結束時間 |
2025-10-20T10:17:39+08:00 |
| 影片長度 |
00:10:58 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/03f010abd9bb8d1bdfedb39039f1811d88348e19566c842c83c966d97180d5d27082a9d1d9fc83395ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
邱志偉 |
| 委員發言時間 |
10:06:41 - 10:17:39 |
| 會議時間 |
2025-10-20T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期經濟委員會第5次全體委員會議（事由：邀請國家發展委員會主任委員列席報告業務概況，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
1.02659375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
1.02659375 |
| transcript.pyannote[1].end |
1.11096875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
1.12784375 |
| transcript.pyannote[2].end |
1.19534375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
10.76346875 |
| transcript.pyannote[3].end |
13.07534375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
13.69971875 |
| transcript.pyannote[4].end |
14.72909375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
20.90534375 |
| transcript.pyannote[5].end |
27.03096875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
21.02346875 |
| transcript.pyannote[6].end |
21.47909375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
27.06471875 |
| transcript.pyannote[7].end |
30.60846875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
31.14846875 |
| transcript.pyannote[8].end |
33.02159375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
33.34221875 |
| transcript.pyannote[9].end |
34.52346875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
35.40096875 |
| transcript.pyannote[10].end |
38.97846875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
39.41721875 |
| transcript.pyannote[11].end |
41.23971875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
41.61096875 |
| transcript.pyannote[12].end |
42.97784375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
43.68659375 |
| transcript.pyannote[13].end |
45.20534375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
45.69471875 |
| transcript.pyannote[14].end |
46.36971875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
46.67346875 |
| transcript.pyannote[15].end |
48.98534375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
49.47471875 |
| transcript.pyannote[16].end |
52.41096875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
52.46159375 |
| transcript.pyannote[17].end |
54.68909375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
55.16159375 |
| transcript.pyannote[18].end |
58.01346875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
58.51971875 |
| transcript.pyannote[19].end |
64.39221875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
64.61159375 |
| transcript.pyannote[20].end |
69.89346875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
70.33221875 |
| transcript.pyannote[21].end |
71.31096875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
72.34034375 |
| transcript.pyannote[22].end |
74.98971875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
75.81659375 |
| transcript.pyannote[23].end |
76.67721875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
77.06534375 |
| transcript.pyannote[24].end |
77.89221875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
78.02721875 |
| transcript.pyannote[25].end |
79.46159375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
79.61346875 |
| transcript.pyannote[26].end |
81.60471875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
82.54971875 |
| transcript.pyannote[27].end |
83.91659375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
84.30471875 |
| transcript.pyannote[28].end |
87.22409375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
87.98346875 |
| transcript.pyannote[29].end |
92.03346875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
93.11346875 |
| transcript.pyannote[30].end |
94.58159375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
95.37471875 |
| transcript.pyannote[31].end |
96.79221875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
97.21409375 |
| transcript.pyannote[32].end |
98.81721875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
99.88034375 |
| transcript.pyannote[33].end |
104.25096875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
104.77409375 |
| transcript.pyannote[34].end |
107.91284375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
108.72284375 |
| transcript.pyannote[35].end |
110.29221875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
110.62971875 |
| transcript.pyannote[36].end |
111.69284375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
111.86159375 |
| transcript.pyannote[37].end |
114.74721875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
115.48971875 |
| transcript.pyannote[38].end |
116.77221875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
118.10534375 |
| transcript.pyannote[39].end |
128.02784375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
129.68159375 |
| transcript.pyannote[40].end |
132.38159375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
132.97221875 |
| transcript.pyannote[41].end |
137.12346875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
137.61284375 |
| transcript.pyannote[42].end |
146.52284375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
146.82659375 |
| transcript.pyannote[43].end |
148.34534375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
149.45909375 |
| transcript.pyannote[44].end |
154.01534375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
154.18409375 |
| transcript.pyannote[45].end |
159.39846875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
159.98909375 |
| transcript.pyannote[46].end |
161.79471875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
162.63846875 |
| transcript.pyannote[47].end |
183.41159375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
176.17221875 |
| transcript.pyannote[48].end |
176.57721875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
182.41596875 |
| transcript.pyannote[49].end |
189.99284375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
190.38096875 |
| transcript.pyannote[50].end |
192.70971875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
192.76034375 |
| transcript.pyannote[51].end |
197.31659375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
192.81096875 |
| transcript.pyannote[52].end |
192.89534375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
193.01346875 |
| transcript.pyannote[53].end |
193.09784375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
198.07596875 |
| transcript.pyannote[54].end |
202.83471875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
202.83471875 |
| transcript.pyannote[55].end |
202.96971875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
203.23971875 |
| transcript.pyannote[56].end |
207.05346875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
208.65659375 |
| transcript.pyannote[57].end |
210.39471875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
211.12034375 |
| transcript.pyannote[58].end |
213.11159375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
213.11159375 |
| transcript.pyannote[59].end |
213.39846875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
213.39846875 |
| transcript.pyannote[60].end |
219.38909375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
220.35096875 |
| transcript.pyannote[61].end |
224.04659375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
224.87346875 |
| transcript.pyannote[62].end |
228.19784375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
229.51409375 |
| transcript.pyannote[63].end |
235.11659375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
235.23471875 |
| transcript.pyannote[64].end |
237.25971875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
238.30596875 |
| transcript.pyannote[65].end |
239.38596875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
239.41971875 |
| transcript.pyannote[66].end |
240.33096875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
241.39409375 |
| transcript.pyannote[67].end |
242.52471875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
243.30096875 |
| transcript.pyannote[68].end |
253.59471875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
254.38784375 |
| transcript.pyannote[69].end |
254.94471875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
255.50159375 |
| transcript.pyannote[70].end |
256.51409375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
257.66159375 |
| transcript.pyannote[71].end |
261.66096875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
262.35284375 |
| transcript.pyannote[72].end |
266.18346875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
266.55471875 |
| transcript.pyannote[73].end |
270.62159375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
271.22909375 |
| transcript.pyannote[74].end |
276.88221875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
277.91159375 |
| transcript.pyannote[75].end |
278.53596875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
278.73846875 |
| transcript.pyannote[76].end |
283.83471875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
284.66159375 |
| transcript.pyannote[77].end |
285.77534375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
286.63596875 |
| transcript.pyannote[78].end |
287.90159375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
288.22221875 |
| transcript.pyannote[79].end |
291.27659375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
292.13721875 |
| transcript.pyannote[80].end |
294.39846875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
295.69784375 |
| transcript.pyannote[81].end |
296.59221875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
298.06034375 |
| transcript.pyannote[82].end |
299.24159375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
299.86596875 |
| transcript.pyannote[83].end |
306.31221875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
307.64534375 |
| transcript.pyannote[84].end |
311.56034375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
312.21846875 |
| transcript.pyannote[85].end |
314.63159375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
315.17159375 |
| transcript.pyannote[86].end |
316.36971875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
316.69034375 |
| transcript.pyannote[87].end |
329.85284375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
330.56159375 |
| transcript.pyannote[88].end |
332.28284375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
333.19409375 |
| transcript.pyannote[89].end |
336.38346875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
336.77159375 |
| transcript.pyannote[90].end |
336.78846875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
337.24409375 |
| transcript.pyannote[91].end |
339.94409375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
340.90596875 |
| transcript.pyannote[92].end |
341.31096875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
341.59784375 |
| transcript.pyannote[93].end |
344.39909375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
345.37784375 |
| transcript.pyannote[94].end |
360.76784375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
362.21909375 |
| transcript.pyannote[95].end |
373.42409375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
373.64346875 |
| transcript.pyannote[96].end |
375.21284375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
375.68534375 |
| transcript.pyannote[97].end |
377.47409375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
378.94221875 |
| transcript.pyannote[98].end |
380.56221875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
381.76034375 |
| transcript.pyannote[99].end |
391.41284375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
391.64909375 |
| transcript.pyannote[100].end |
392.67846875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
392.93159375 |
| transcript.pyannote[101].end |
396.07034375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
396.71159375 |
| transcript.pyannote[102].end |
403.69784375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
404.57534375 |
| transcript.pyannote[103].end |
405.92534375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
406.16159375 |
| transcript.pyannote[104].end |
407.88284375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
408.22034375 |
| transcript.pyannote[105].end |
410.98784375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
411.12284375 |
| transcript.pyannote[106].end |
411.37596875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
411.96659375 |
| transcript.pyannote[107].end |
417.53534375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
417.90659375 |
| transcript.pyannote[108].end |
423.34034375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
424.18409375 |
| transcript.pyannote[109].end |
430.64721875 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
430.71471875 |
| transcript.pyannote[110].end |
439.48971875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
440.23221875 |
| transcript.pyannote[111].end |
452.70284375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
453.83346875 |
| transcript.pyannote[112].end |
457.98471875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
457.98471875 |
| transcript.pyannote[113].end |
458.00159375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
458.57534375 |
| transcript.pyannote[114].end |
458.59221875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
458.59221875 |
| transcript.pyannote[115].end |
477.45846875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
476.68221875 |
| transcript.pyannote[116].end |
493.06784375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
493.11846875 |
| transcript.pyannote[117].end |
495.86909375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
496.42596875 |
| transcript.pyannote[118].end |
497.70846875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
498.60284375 |
| transcript.pyannote[119].end |
500.50971875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
501.37034375 |
| transcript.pyannote[120].end |
504.72846875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
505.25159375 |
| transcript.pyannote[121].end |
506.33159375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
506.66909375 |
| transcript.pyannote[122].end |
508.50846875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
509.26784375 |
| transcript.pyannote[123].end |
511.56284375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
512.17034375 |
| transcript.pyannote[124].end |
515.08971875 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
515.54534375 |
| transcript.pyannote[125].end |
520.52346875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
521.28284375 |
| transcript.pyannote[126].end |
522.90284375 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
523.79721875 |
| transcript.pyannote[127].end |
524.57346875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
524.97846875 |
| transcript.pyannote[128].end |
525.48471875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
525.73784375 |
| transcript.pyannote[129].end |
526.27784375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
526.42971875 |
| transcript.pyannote[130].end |
529.61909375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
529.90596875 |
| transcript.pyannote[131].end |
530.17596875 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
530.81721875 |
| transcript.pyannote[132].end |
531.35721875 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
531.89721875 |
| transcript.pyannote[133].end |
535.42409375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
536.16659375 |
| transcript.pyannote[134].end |
539.40659375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
539.57534375 |
| transcript.pyannote[135].end |
543.25409375 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
543.97971875 |
| transcript.pyannote[136].end |
545.70096875 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
546.52784375 |
| transcript.pyannote[137].end |
548.02971875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
549.75096875 |
| transcript.pyannote[138].end |
553.48034375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
554.13846875 |
| transcript.pyannote[139].end |
556.36596875 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
557.15909375 |
| transcript.pyannote[140].end |
560.80409375 |
| transcript.pyannote[141].speaker |
SPEAKER_00 |
| transcript.pyannote[141].start |
561.39471875 |
| transcript.pyannote[141].end |
565.19159375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
565.49534375 |
| transcript.pyannote[142].end |
567.55409375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
567.99284375 |
| transcript.pyannote[143].end |
569.22471875 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
569.78159375 |
| transcript.pyannote[144].end |
572.48159375 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
573.05534375 |
| transcript.pyannote[145].end |
584.80034375 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
585.12096875 |
| transcript.pyannote[146].end |
586.23471875 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
586.52159375 |
| transcript.pyannote[147].end |
597.05159375 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
597.30471875 |
| transcript.pyannote[148].end |
599.34659375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
599.85284375 |
| transcript.pyannote[149].end |
602.09721875 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
602.31659375 |
| transcript.pyannote[150].end |
612.79596875 |
| transcript.pyannote[151].speaker |
SPEAKER_00 |
| transcript.pyannote[151].start |
613.45409375 |
| transcript.pyannote[151].end |
617.09909375 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
617.13284375 |
| transcript.pyannote[152].end |
617.58846875 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
618.04409375 |
| transcript.pyannote[153].end |
619.90034375 |
| transcript.pyannote[154].speaker |
SPEAKER_00 |
| transcript.pyannote[154].start |
620.47409375 |
| transcript.pyannote[154].end |
623.19096875 |
| transcript.pyannote[155].speaker |
SPEAKER_00 |
| transcript.pyannote[155].start |
624.27096875 |
| transcript.pyannote[155].end |
628.52346875 |
| transcript.pyannote[156].speaker |
SPEAKER_00 |
| transcript.pyannote[156].start |
628.91159375 |
| transcript.pyannote[156].end |
630.53159375 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
631.10534375 |
| transcript.pyannote[157].end |
643.55909375 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
643.79534375 |
| transcript.pyannote[158].end |
645.97221875 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
646.05659375 |
| transcript.pyannote[159].end |
655.79346875 |
| transcript.pyannote[160].speaker |
SPEAKER_01 |
| transcript.pyannote[160].start |
654.71346875 |
| transcript.pyannote[160].end |
654.96659375 |
| transcript.pyannote[161].speaker |
SPEAKER_01 |
| transcript.pyannote[161].start |
655.40534375 |
| transcript.pyannote[161].end |
658.72971875 |
| transcript.whisperx[0].start |
0.163 |
| transcript.whisperx[0].end |
12.961 |
| transcript.whisperx[0].text |
主席 請做詢問謝謝主席 我請國畫會的葉主委我們再請葉主委 |
| transcript.whisperx[1].start |
20.956 |
| transcript.whisperx[1].end |
34.351 |
| transcript.whisperx[1].text |
各位你好 各位今天的施政報告大概討論一個主題就是均衡台灣均衡台灣大概我認為有三大方向第一個就是產業要均衡第二個區域要均衡第三個所得要均衡 |
| transcript.whisperx[2].start |
35.518 |
| transcript.whisperx[2].end |
54.203 |
| transcript.whisperx[2].text |
產業當然包括這個高科技半導體等等AI那當然傳統跟服務業很重要所以如何讓這個產業能夠盡量發展你看這個現在的股市到27000、28000那經濟成長數據也非常漂亮包括中資金融的估計 主機種族的估計 |
| transcript.whisperx[3].start |
55.223 |
| transcript.whisperx[3].end |
81.163 |
| transcript.whisperx[3].text |
GDP大概5.4、5.5左右那但是它的三大構成GDP組成的這個項目裡面我們對這個出口的這個年增率24%投資也增加了將近10%但是消費消費實質成長只有0.不到1%所以這個部分發現就是說把這個出口跟投資都集中在AI跟半導體 |
| transcript.whisperx[4].start |
82.608 |
| transcript.whisperx[4].end |
103.974 |
| transcript.whisperx[4].text |
在传统产业 你看股价 传统产业包括扣剑 石化等等它的股价大概是十几年来最低的 甚至还腰斩 收入也减少所以在产业的不均衡 所以你看看的数字很漂亮股市上将近三万点 国民所得超越南韩 超越日本 |
| transcript.whisperx[5].start |
104.861 |
| transcript.whisperx[5].end |
125.987 |
| transcript.whisperx[5].text |
但是讓人民的感覺是有很嚴重的差異北 中南有差異 區域有差異世代有差異年輕人私有利益比一般人還高所以你要做到去台灣不是一個表面數字而已你要確實去考慮到這個產業是不是能夠透過這次五大世代產業也能帶動傳統產業來發展 |
| transcript.whisperx[6].start |
129.764 |
| transcript.whisperx[6].end |
148.121 |
| transcript.whisperx[6].text |
所以第一个问题要请到这个业主委目前的经济成长的红利都集中在特殊产业AI跟半导体那这个大部分的这个从业我们这个国人工作很多都是做这个传统产业跟服务业他们对于经济成长并没有很直接的感觉反而是比以前更退步 |
| transcript.whisperx[7].start |
149.7 |
| transcript.whisperx[7].end |
161.172 |
| transcript.whisperx[7].text |
這個部分你要怎麼樣去落實這個五大核心產業五大信貸產業然後又能夠帶動這個傳統產業的發展我想請教你的意見第一個就是說我們 |
| transcript.whisperx[8].start |
162.711 |
| transcript.whisperx[8].end |
189.77 |
| transcript.whisperx[8].text |
我们在执行所谓的AI新时代建设的过程当中的话不只是在鼓励所谓的AI产业委员如果还知道的话我们那五个项目里面有一个叫做百工百业智慧应用那百工百业智慧应用的话其实很大一部分都是在鼓励所谓的中小企业在做AI产业我也有请教过资策会资策会扮演一些角色但目前是真的医疗跟这个餐饮业而已啊 |
| transcript.whisperx[9].start |
190.49 |
| transcript.whisperx[9].end |
219.213 |
| transcript.whisperx[9].text |
所以你说我选区是个金属扣件金属扣件是面临到这个三四年最大的寒冬最大的挑战所以我们政府应该要提供更多的协助让他们可以渡过这个难关所以大家都跟我说哇 这个经济成长跟他们完全没有关系员工也是如此 老板也是如此所以俱全台湾不能只成为一个口号你要让人家觉得的确政府在追求俱全台湾的过程中所有产业都是同步成长 |
| transcript.whisperx[10].start |
220.47 |
| transcript.whisperx[10].end |
240.229 |
| transcript.whisperx[10].text |
我觉得这个部分你应该有一个全盘的国家发展战略而不是针对五大信贷产业或者过去的六大核心产业而已特别是相对如果是在这一波经济成长里面并没有受惠的这些产业服务业等等传统制造业石化钢铁等等院生在道爱红片野 |
| transcript.whisperx[11].start |
241.468 |
| transcript.whisperx[11].end |
251.198 |
| transcript.whisperx[11].text |
所以是兩個世界所以這部分我提醒您能夠針對非高科技產業能夠提出有更多的振興計畫跟均衡產業協助的這些計畫 |
| transcript.whisperx[12].start |
255.586 |
| transcript.whisperx[12].end |
283.278 |
| transcript.whisperx[12].text |
另外這個 第二個問題是說區域要均衡因為六大區域發展計畫從北北基到桃園住民黨中當統等等我覺得這是一個目標但是你要怎麼透過這些均衡海灣透過這個區域的均衡達到這個所得的均衡或者地方發展的這個均衡這個部分我看到你們提出這個方向跟願景但是這個六大區域發展計畫 |
| transcript.whisperx[13].start |
284.724 |
| transcript.whisperx[13].end |
306.185 |
| transcript.whisperx[13].text |
你說要徵就業提薪資繁地方這是一個目標跟口號但是能不能具體落實我不知道你就看一下那個失業率來看失業率啊高雄過去認為說這個相對經濟資源不夠但是高雄市六都失業率最低的一個六都啊 |
| transcript.whisperx[14].start |
307.834 |
| transcript.whisperx[14].end |
336.246 |
| transcript.whisperx[14].text |
為什麼過去高雄市失業率比較高為什麼變成目前失業率最低任何政策的結果不是天上掉下來的那政策結果都是要一步一腳進去去招商去讓青年人能夠留在這個高雄所以我們不管是總理失業率高雄市是六度最低青年失業率也是六度最低但是其他的縣市也蠻高的我不好意思說其他哪些縣市但一定是 |
| transcript.whisperx[15].start |
337.324 |
| transcript.whisperx[15].end |
363.873 |
| transcript.whisperx[15].text |
有一些状况没有被排除没有被重视嘛所以你这个失业率代表说你的所得就不均衡嘛所以我希望说国会业主委您上任之后要有个新的思维要用更高的这个视野国家战略角度怎么去落实这个均衡台湾从所得落实从这个区域发展落实跟产业发展落实这个部分我提醒您这个 |
| transcript.whisperx[16].start |
364.721 |
| transcript.whisperx[16].end |
377.652 |
| transcript.whisperx[16].text |
這個未來還有很長路要走 這個是一個非常重要而且很核心 為關稅到台灣未來這個生存發展的一個重要的關鍵那另外一個就是關於這個 |
| transcript.whisperx[17].start |
382.029 |
| transcript.whisperx[17].end |
403.511 |
| transcript.whisperx[17].text |
過去的六大核心戰略產業在蔡英文總統的時候跟現在的五大現代產業差別大概就是多了一個能源項目能源轉型很重要能源轉型不是一觸可及的但這個方向絕對是正確的不能被少數個案去抹殺這個政策的正面意義跟未來能源轉型的一個重要性 |
| transcript.whisperx[18].start |
404.628 |
| transcript.whisperx[18].end |
417.271 |
| transcript.whisperx[18].text |
所以未來2030年我們要達到這個2030年要達到這個30%的再生能源這個部分是我們要努力的目標但是有很多的不可控的部分 |
| transcript.whisperx[19].start |
418.001 |
| transcript.whisperx[19].end |
438.983 |
| transcript.whisperx[19].text |
你看這個戰爭的部分最大的這個佔比是這個風力發電風力發電要離岸封電跟這個陸域封電我們沒有辦法允許陸域封電 只能離岸封電所以站在一個國安法會角度你要跟經濟部協調 跟環境部協調 跟國防部協調為什麼我們的離岸封電沒有辦法落實 |
| transcript.whisperx[20].start |
440.465 |
| transcript.whisperx[20].end |
452.026 |
| transcript.whisperx[20].text |
當然有國際大環境的變化包括整體川普的反對包括整個供應鏈的吃緊包括利率的升高台灣也是面臨到這種狀況 |
| transcript.whisperx[21].start |
453.868 |
| transcript.whisperx[21].end |
477.338 |
| transcript.whisperx[21].text |
那对于这个能源转型,国化会有没有什么看法?我们这一边,就是说在经济部这一边来讲的话,它中长期的用电成长已经纳入半导体AI新兴科技的发展需求了。那经济部也对于那一个燃气机组的装置容量,也有一些提一些计划,比如说它要增加大概1200万瓦。 |
| transcript.whisperx[22].start |
477.698 |
| transcript.whisperx[22].end |
504.554 |
| transcript.whisperx[22].text |
我觉得这个现在回答可能太detail我觉得我提这个问题出来就是希望说你做一个整合者协调者你要跟相关部队协调为什么没有办法落实到原先的发电比我的目标跟现在差距有多少问题在哪里要怎么去排除这是您要做的工作另外这个国家基金你要投资一定也要均衡这部分我很关心对新创对南部的投资 |
| transcript.whisperx[23].start |
505.325 |
| transcript.whisperx[23].end |
529.246 |
| transcript.whisperx[23].text |
你們過去國發基金這個投資都是集中在北部而且對新創的比例也比較少所以我認為未來你們應該立即的調整你們投資的方向不要集中在北部中南部只有個位數所以這個部分我覺得你站在均衡台灣的角度這個是背道而馳 |
| transcript.whisperx[24].start |
530.911 |
| transcript.whisperx[24].end |
556.315 |
| transcript.whisperx[24].text |
所以對新創的你們福祉也不夠要不是我極力堅持你們國發基金還沒有在南部設立辦公室是我堅持這樣才有辦公室但是具體成果怎麼樣還是有限的跟我期待的目標差很多你要把過去的新創商變成綠洲不是不可行是你要不要做而已有沒有這個決心而已 |
| transcript.whisperx[25].start |
557.256 |
| transcript.whisperx[25].end |
570.294 |
| transcript.whisperx[25].text |
你從你投資的比例來看這個比例你能看嗎這我要怎麼對南部的這些年輕的新創新創家來做一個說明跟交代呢所有都集中在北部所以我認為國際經濟執行長也在 |
| transcript.whisperx[26].start |
573.158 |
| transcript.whisperx[26].end |
599.18 |
| transcript.whisperx[26].text |
这个部分我也跟你们提醒很多次我也跟你们建议很多次国家基金绝对要站在比较协助要不是获利的角度辅导的角度而不是你要确保获利你对一般的IPO公司的投资那当然是有一定的获利的意识但是你对新创企业投资你不要单纯站在获利的角度你要在辅导协助的角度包括你投资比例你要增加一点点 |
| transcript.whisperx[27].start |
599.929 |
| transcript.whisperx[27].end |
623.027 |
| transcript.whisperx[27].text |
比方說更有誘因1.5比1你填足投資機構跟國際基金1.5比1那個高副主委之前我還給你提到過你們必須不要聽過然後就就就冤孝允善的我們必須去確定落實是不是可以可行然後對這個餅夠大但是你們比較小區去做分配 |
| transcript.whisperx[28].start |
624.792 |
| transcript.whisperx[28].end |
645.311 |
| transcript.whisperx[28].text |
门槛也比较高年轻人需要就是第一统计需要政府的协助那你给他设计那么多的门槛当然你要达到初期创业你要达到这个门槛是很困难的所以把门槛稍微降低合理的降低然后呢给更多新创企业更多的协助而不是从获利的角度然后区域均衡 |
| transcript.whisperx[29].start |
646.792 |
| transcript.whisperx[29].end |
657.721 |
| transcript.whisperx[29].text |
台南高雄跟台中新創你們投資實在是比例是過低所以你必須要去做一些調整以上建議謝謝委員的意見我們會待會去研究謝謝 |