IVOD_ID |
163563 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163563 |
日期 |
2025-08-20 |
會議資料.會議代碼 |
委員會-11-3-19-20 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第20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 |
20 |
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20次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-08-20T09:11:18+08:00 |
結束時間 |
2025-08-20T09:22:19+08:00 |
影片長度 |
00:11:01 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3feaef107a98f0c94d57274d0c66bec70ed9bbdce0c549622d759ce15701171e6a2d8103b2bcc79e5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
邱議瑩 |
委員發言時間 |
09:11:18 - 09:22:19 |
會議時間 |
2025-08-20T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第20次全體委員會議(事由:邀請經濟部部長就「協助中小企業災後復原辦理情況」進行報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
8.55284375 |
transcript.pyannote[0].end |
10.94909375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
11.97846875 |
transcript.pyannote[1].end |
12.33284375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
20.16284375 |
transcript.pyannote[2].end |
20.68596875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
20.87159375 |
transcript.pyannote[3].end |
21.66471875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
22.15409375 |
transcript.pyannote[4].end |
27.06471875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
27.43596875 |
transcript.pyannote[5].end |
32.81909375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
33.08909375 |
transcript.pyannote[6].end |
33.89909375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
34.28721875 |
transcript.pyannote[7].end |
37.20659375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
37.27409375 |
transcript.pyannote[8].end |
39.68721875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
39.80534375 |
transcript.pyannote[9].end |
46.18409375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
46.31909375 |
transcript.pyannote[10].end |
47.11221875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
47.65221875 |
transcript.pyannote[11].end |
49.74471875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
49.96409375 |
transcript.pyannote[12].end |
54.48659375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
55.14471875 |
transcript.pyannote[13].end |
58.46909375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
58.77284375 |
transcript.pyannote[14].end |
58.84034375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
58.94159375 |
transcript.pyannote[15].end |
62.01284375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
62.48534375 |
transcript.pyannote[16].end |
67.59846875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
67.96971875 |
transcript.pyannote[17].end |
68.88096875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
69.82596875 |
transcript.pyannote[18].end |
72.99846875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
74.14596875 |
transcript.pyannote[19].end |
77.36909375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
77.85846875 |
transcript.pyannote[20].end |
85.11471875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
85.26659375 |
transcript.pyannote[21].end |
91.35846875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
85.58721875 |
transcript.pyannote[22].end |
86.76846875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
92.15159375 |
transcript.pyannote[23].end |
95.40846875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
95.67846875 |
transcript.pyannote[24].end |
99.28971875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
99.81284375 |
transcript.pyannote[25].end |
100.45409375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
101.12909375 |
transcript.pyannote[26].end |
101.92221875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
102.39471875 |
transcript.pyannote[27].end |
107.18721875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
107.96346875 |
transcript.pyannote[28].end |
112.36784375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
112.43534375 |
transcript.pyannote[29].end |
116.77221875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
117.32909375 |
transcript.pyannote[30].end |
119.77596875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
119.82659375 |
transcript.pyannote[31].end |
121.69971875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
120.14721875 |
transcript.pyannote[32].end |
120.26534375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
122.20596875 |
transcript.pyannote[33].end |
124.53471875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
125.07471875 |
transcript.pyannote[34].end |
128.82096875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
129.04034375 |
transcript.pyannote[35].end |
135.97596875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
136.75221875 |
transcript.pyannote[36].end |
141.05534375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
141.71346875 |
transcript.pyannote[37].end |
149.83034375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
149.93159375 |
transcript.pyannote[38].end |
158.35221875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
158.77409375 |
transcript.pyannote[39].end |
170.45159375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
171.09284375 |
transcript.pyannote[40].end |
174.11346875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
174.51846875 |
transcript.pyannote[41].end |
178.23096875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
178.61909375 |
transcript.pyannote[42].end |
185.48721875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
186.43221875 |
transcript.pyannote[43].end |
194.65034375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
194.97096875 |
transcript.pyannote[44].end |
196.13534375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
196.48971875 |
transcript.pyannote[45].end |
200.42159375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
202.49721875 |
transcript.pyannote[46].end |
205.01159375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
205.12971875 |
transcript.pyannote[47].end |
207.08721875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
207.99846875 |
transcript.pyannote[48].end |
210.46221875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
210.88409375 |
transcript.pyannote[49].end |
218.42721875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
219.00096875 |
transcript.pyannote[50].end |
221.27909375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
221.49846875 |
transcript.pyannote[51].end |
226.44284375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
226.72971875 |
transcript.pyannote[52].end |
227.84346875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
228.56909375 |
transcript.pyannote[53].end |
233.71596875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
234.07034375 |
transcript.pyannote[54].end |
235.33596875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
235.60596875 |
transcript.pyannote[55].end |
237.04034375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
237.74909375 |
transcript.pyannote[56].end |
241.10721875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
241.98471875 |
transcript.pyannote[57].end |
242.37284375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
243.01409375 |
transcript.pyannote[58].end |
250.35471875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
250.35471875 |
transcript.pyannote[59].end |
257.54346875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
258.38721875 |
transcript.pyannote[60].end |
260.10846875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
260.63159375 |
transcript.pyannote[61].end |
264.42846875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
264.88409375 |
transcript.pyannote[62].end |
271.51596875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
272.02221875 |
transcript.pyannote[63].end |
277.32096875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
274.82346875 |
transcript.pyannote[64].end |
279.48096875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
278.82284375 |
transcript.pyannote[65].end |
292.10346875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
288.45846875 |
transcript.pyannote[66].end |
299.59596875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
293.52096875 |
transcript.pyannote[67].end |
294.26346875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
297.45284375 |
transcript.pyannote[68].end |
298.16159375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
299.59596875 |
transcript.pyannote[69].end |
302.24534375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
302.58284375 |
transcript.pyannote[70].end |
303.10596875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
303.10596875 |
transcript.pyannote[71].end |
303.42659375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
303.39284375 |
transcript.pyannote[72].end |
305.29971875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
305.46846875 |
transcript.pyannote[73].end |
307.40909375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
307.40909375 |
transcript.pyannote[74].end |
309.09659375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
308.99534375 |
transcript.pyannote[75].end |
310.05846875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
309.40034375 |
transcript.pyannote[76].end |
313.75409375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
313.21409375 |
transcript.pyannote[77].end |
321.49971875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
321.90471875 |
transcript.pyannote[78].end |
322.90034375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
322.30971875 |
transcript.pyannote[79].end |
326.47784375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
326.62971875 |
transcript.pyannote[80].end |
335.30346875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
329.68409375 |
transcript.pyannote[81].end |
329.81909375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
335.77596875 |
transcript.pyannote[82].end |
338.13846875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
338.17221875 |
transcript.pyannote[83].end |
348.61784375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
349.05659375 |
transcript.pyannote[84].end |
350.30534375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
350.89596875 |
transcript.pyannote[85].end |
354.76034375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
353.57909375 |
transcript.pyannote[86].end |
353.98409375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
354.45659375 |
transcript.pyannote[87].end |
356.61659375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
357.20721875 |
transcript.pyannote[88].end |
364.10909375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
364.10909375 |
transcript.pyannote[89].end |
364.54784375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
364.54784375 |
transcript.pyannote[90].end |
367.01159375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
368.07471875 |
transcript.pyannote[91].end |
370.33596875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
370.33596875 |
transcript.pyannote[92].end |
373.54221875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
370.36971875 |
transcript.pyannote[93].end |
370.80846875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
371.95596875 |
transcript.pyannote[94].end |
372.37784375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
373.30596875 |
transcript.pyannote[95].end |
376.10721875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
375.07784375 |
transcript.pyannote[96].end |
377.35596875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
377.65971875 |
transcript.pyannote[97].end |
378.52034375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
378.52034375 |
transcript.pyannote[98].end |
389.13471875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
378.55409375 |
transcript.pyannote[99].end |
380.02221875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
389.35409375 |
transcript.pyannote[100].end |
392.79659375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
392.86409375 |
transcript.pyannote[101].end |
407.86596875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
408.08534375 |
transcript.pyannote[102].end |
409.16534375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
410.04284375 |
transcript.pyannote[103].end |
412.06784375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
413.43471875 |
transcript.pyannote[104].end |
414.63284375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
414.93659375 |
transcript.pyannote[105].end |
423.89721875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
424.21784375 |
transcript.pyannote[106].end |
426.32721875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
426.52971875 |
transcript.pyannote[107].end |
438.03846875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
438.57846875 |
transcript.pyannote[108].end |
449.02409375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
449.26034375 |
transcript.pyannote[109].end |
451.45409375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
451.79159375 |
transcript.pyannote[110].end |
453.71534375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
454.17096875 |
transcript.pyannote[111].end |
456.65159375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
455.99346875 |
transcript.pyannote[112].end |
457.32659375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
457.42784375 |
transcript.pyannote[113].end |
464.59971875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
464.59971875 |
transcript.pyannote[114].end |
471.11346875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
466.28721875 |
transcript.pyannote[115].end |
468.17721875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
469.13909375 |
transcript.pyannote[116].end |
480.34409375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
481.06971875 |
transcript.pyannote[117].end |
483.33096875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
482.06534375 |
transcript.pyannote[118].end |
482.52096875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
483.48284375 |
transcript.pyannote[119].end |
483.82034375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
484.29284375 |
transcript.pyannote[120].end |
488.37659375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
489.18659375 |
transcript.pyannote[121].end |
491.43096875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
492.08909375 |
transcript.pyannote[122].end |
493.20284375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
495.63284375 |
transcript.pyannote[123].end |
497.70846875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
497.99534375 |
transcript.pyannote[124].end |
504.69471875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
505.23471875 |
transcript.pyannote[125].end |
505.99409375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
506.53409375 |
transcript.pyannote[126].end |
511.20846875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
511.96784375 |
transcript.pyannote[127].end |
512.23784375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
512.23784375 |
transcript.pyannote[128].end |
512.27159375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
512.27159375 |
transcript.pyannote[129].end |
512.28846875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
512.62596875 |
transcript.pyannote[130].end |
513.48659375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
513.87471875 |
transcript.pyannote[131].end |
514.88721875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
515.98409375 |
transcript.pyannote[132].end |
520.62471875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
521.53596875 |
transcript.pyannote[133].end |
523.15596875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
523.72971875 |
transcript.pyannote[134].end |
524.62409375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
524.70846875 |
transcript.pyannote[135].end |
530.02409375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
528.52221875 |
transcript.pyannote[136].end |
538.27596875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
531.40784375 |
transcript.pyannote[137].end |
531.82971875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
538.29284375 |
transcript.pyannote[138].end |
542.24159375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
542.24159375 |
transcript.pyannote[139].end |
542.69721875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
542.69721875 |
transcript.pyannote[140].end |
549.66659375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
550.10534375 |
transcript.pyannote[141].end |
552.68721875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
553.32846875 |
transcript.pyannote[142].end |
553.68284375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
553.51409375 |
transcript.pyannote[143].end |
554.03721875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
554.47596875 |
transcript.pyannote[144].end |
555.30284375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
555.40409375 |
transcript.pyannote[145].end |
559.90971875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
559.69034375 |
transcript.pyannote[146].end |
561.66471875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
561.66471875 |
transcript.pyannote[147].end |
563.77409375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
562.27221875 |
transcript.pyannote[148].end |
575.08034375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
575.70471875 |
transcript.pyannote[149].end |
578.52284375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
578.92784375 |
transcript.pyannote[150].end |
593.55846875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
593.82846875 |
transcript.pyannote[151].end |
601.69221875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
602.40096875 |
transcript.pyannote[152].end |
603.43034375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
604.08846875 |
transcript.pyannote[153].end |
607.68284375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
608.54346875 |
transcript.pyannote[154].end |
609.72471875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
610.80471875 |
transcript.pyannote[155].end |
612.03659375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
612.93096875 |
transcript.pyannote[156].end |
613.47096875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
613.89284375 |
transcript.pyannote[157].end |
626.12721875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
619.14096875 |
transcript.pyannote[158].end |
619.47846875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
626.86971875 |
transcript.pyannote[159].end |
631.69596875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
632.26971875 |
transcript.pyannote[160].end |
639.18846875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
639.54284375 |
transcript.pyannote[161].end |
650.03909375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
650.42721875 |
transcript.pyannote[162].end |
651.99659375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
651.72659375 |
transcript.pyannote[163].end |
652.06409375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
652.36784375 |
transcript.pyannote[164].end |
654.42659375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
654.56159375 |
transcript.pyannote[165].end |
656.60346875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
656.97471875 |
transcript.pyannote[166].end |
657.71721875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
657.71721875 |
transcript.pyannote[167].end |
657.80159375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
657.80159375 |
transcript.pyannote[168].end |
658.45971875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
659.32034375 |
transcript.pyannote[169].end |
659.86034375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
660.38346875 |
transcript.pyannote[170].end |
660.73784375 |
transcript.whisperx[0].start |
9.339 |
transcript.whisperx[0].end |
12.184 |
transcript.whisperx[0].text |
謝謝主席我請一下部長郭部長委員長 |
transcript.whisperx[1].start |
21.085 |
transcript.whisperx[1].end |
46.922 |
transcript.whisperx[1].text |
部长早部长我想经历过丹纳斯台风跟728的豪雨对您来讲应该也是心情像喜三温暖这应该是您有史以来第一次有这样的机会实际进入到灾区实际去勘灾了解到天灾对于整体环境所受到的影响您个人有什么看法 |
transcript.whisperx[2].start |
47.722 |
transcript.whisperx[2].end |
72.362 |
transcript.whisperx[2].text |
就你剛剛的報告其實就是很數據上面政府現在應該要補助多少補助多少但是我想您在經濟部的這個位置上面其實看到這樣的一個風災災後政府有很多的重建工作要做其實不是只是現在的這些paperwork您覺得就現行的台灣的整體 |
transcript.whisperx[3].start |
74.195 |
transcript.whisperx[3].end |
101.577 |
transcript.whisperx[3].text |
在面对到这样子的一个巨大的天灾的时候你觉得经济部有什么可以再多做一些的或者是说我们现在的整体的建设上有什么不足的是 报告员我想人逆己逆我多次到灾区去跟着总统或者院长我们多次去跟着他们去访视这整个灾区我大概应该有 |
transcript.whisperx[4].start |
102.618 |
transcript.whisperx[4].end |
121.503 |
transcript.whisperx[4].text |
這一個多月以來應該有15次以上到災區去訪視我們看了這一次的這個災情確實是非常非常的嚴重所以我一直請我們經濟部的同仁在我們的責任範圍裡面要用最快的速度 |
transcript.whisperx[5].start |
122.819 |
transcript.whisperx[5].end |
135.656 |
transcript.whisperx[5].text |
然后去帮忙把这个灾区能够复建起来比如说我们现在前进办公室成立以后经济部对于这个复建的部分 |
transcript.whisperx[6].start |
136.806 |
transcript.whisperx[6].end |
157.919 |
transcript.whisperx[6].text |
我們的這個水利署跟台水公司我們負責的責任區我們都是最快的速度大家都用同理心來協助處理我們面對的這個問題好 部長來先讓您講到這裡你講到災後復健的部分那我就先來跟您討論一下災後復健的部分 |
transcript.whisperx[7].start |
158.994 |
transcript.whisperx[7].end |
185.307 |
transcript.whisperx[7].text |
當然今天主席排定的議程是討論中小企業不過因為在這一次的丹納斯風災跟728的豪雨其實在高雄的地區受災最嚴重是在山區這些就是我們您所謂的災後復建這是路斷掉了橋斷掉了那經濟部水利署或者是說公路總局花了非常多的時間而且非常快速的 |
transcript.whisperx[8].start |
186.645 |
transcript.whisperx[8].end |
206.665 |
transcript.whisperx[8].text |
幾天幾夜都沒有睡覺在搶救這些道路但是相對來講其實你也可以看到這是很脆弱的一環那講到補償你講中小企業的補償我就是要跟您討論山區這一次受災嚴重但是山區沒有中小企業 |
transcript.whisperx[9].start |
208.038 |
transcript.whisperx[9].end |
227.591 |
transcript.whisperx[9].text |
山区的观光受到了非常大的影响山区的比如说我们的这些小吃部这些零售业者这个农产加工品等等他们其实都受到了相当大的影响但是目前这样看起来并不符合在我们所谓的中小企业的这一些补助里头 |
transcript.whisperx[10].start |
228.615 |
transcript.whisperx[10].end |
257.296 |
transcript.whisperx[10].text |
那這些要怎麼辦你們未來在經濟部跟跨部會比如說跟這個觀光署或者是跟其他的單位有沒有這樣的跨部會的災後的這些補救的措施或者是說要等到我們的這個特別預算通過之後才能來做這一方面我們院長有指示就是說不用等到這個特別預算過後才來處理這個救災的事情 |
transcript.whisperx[11].start |
258.462 |
transcript.whisperx[11].end |
271.394 |
transcript.whisperx[11].text |
我們會用我們現在有的這個預算範圍裡面趕快先去做因為救災最重要所以在您剛所提的這個地區我們是有這個服務業的協助措施的 |
transcript.whisperx[12].start |
272.096 |
transcript.whisperx[12].end |
301.956 |
transcript.whisperx[12].text |
他是属于服务业的一部分我们大概分成服务业服务业你协助他什么哪一方面比如说他是店家他是店家我们就是援助他每一家我们会先给他一万块钱然后协助他做铁卷门招牌摊牌展示架你只要是在受灾地区的全部都可以吗他没有税籍登记没有什么登记的你只要是在灾后地区的全部都可以摊饭我们会把它列为摊饭 |
transcript.whisperx[13].start |
303.417 |
transcript.whisperx[13].end |
321.186 |
transcript.whisperx[13].text |
好那有這些有開始做了嗎現在是開始做已經開始在盤點了是不是應該是在盤點而已吧應該我還沒有聽到有任何已經開始受到我們是盤點透過當地的管理機構先盤點但是我們現在把比較嚴重的地方處理 |
transcript.whisperx[14].start |
322.346 |
transcript.whisperx[14].end |
350.044 |
transcript.whisperx[14].text |
我知道部长当然你要先去处理很多的中小企业因为很多的我们的这个台湾的中小企业占了八成那就业人口其实非常多也是在这些中小企业里头包括嘉义台南其实很多的中小企业受损当然你们要去做这些事情那我现在要跟您谈的是在高雄的这些山区的相对剥夺感是比较大的那他们除了道路受损以外其实电力的中断电力的脆弱 |
transcript.whisperx[15].start |
351.426 |
transcript.whisperx[15].end |
366.745 |
transcript.whisperx[15].text |
我想这个也是您应该要非常重视是 报告委员在未来我们会结合电力的部分我们会优先因为这三区负电比较慢所以我们会先把发电机送过去 |
transcript.whisperx[16].start |
368.157 |
transcript.whisperx[16].end |
386.055 |
transcript.whisperx[16].text |
所以未來就是只要有風災就是設置發電機馬上就到這個發電機就會前置作業先到發電機或者是儲能櫃等等我們都會先做這個其實在去年山陀兒的時候曾文森董事長在這邊也特別也提過我也同樣質詢過這個問題也同樣提過這件事情 |
transcript.whisperx[17].start |
389.418 |
transcript.whisperx[17].end |
411.827 |
transcript.whisperx[17].text |
但是很顯然的這一次應該也沒有因應到也沒有去想到說這個風災會這麼嚴重這個水災會這麼嚴重但是我比較想要再談的就是說我們所謂的電網韌性計畫我覺得台灣的整體電網其實是相對脆弱一個颱風來去年這個是在高雄 |
transcript.whisperx[18].start |
414.019 |
transcript.whisperx[18].end |
434.263 |
transcript.whisperx[18].text |
電線桿倒一排今年是在嘉義跟台南整個電線桿倒一排超過一個禮拜以上的停電所有的台電工程人員不眠不休的搶救甚至還造成人命的傷亡但是這個電網電纜地下化的這個政策我們從三年前開始就說要花5645億去做電網韌性計畫 |
transcript.whisperx[19].start |
438.624 |
transcript.whisperx[19].end |
453.098 |
transcript.whisperx[19].text |
那到底開始做了沒 做了哪些那你們要優先去盤點你們現在說要去盤點一些優先的地區這些優先的地區包括哪些地方是要做優先的地區有沒有去做這一方面的盤點 |
transcript.whisperx[20].start |
454.429 |
transcript.whisperx[20].end |
483.036 |
transcript.whisperx[20].text |
現在開始在做這一方面現在才開始要做現在具體的因為當初您剛才所指導的這個五千多億的這個是全國的是全國的他分十年做嘛這過去提出來的五千多億沒有分十年你們這不是分十年的計畫嗎我們現在要縮短現在要縮短我們沒有辦法等到十年是所以我們現在把它縮短到這個總統的指示到2028年2028年所以三年內要完成對 |
transcript.whisperx[21].start |
484.389 |
transcript.whisperx[21].end |
512.032 |
transcript.whisperx[21].text |
三年內要完成台電有這樣的量能或者是說台電有足夠的足夠的經費可以來做這件事情嗎就我們大家來努力我當然希望你們能夠努力啦但能不能給我一個比較確切比如說你們現在盤點出來哪些地方會是優先報告委員我們可以把這個盤點表跟時程表送送給您好 |
transcript.whisperx[22].start |
512.711 |
transcript.whisperx[22].end |
520.011 |
transcript.whisperx[22].text |
那預算呢台電還有錢嗎5645億你如果分成三年的話一年要將近 |
transcript.whisperx[23].start |
521.601 |
transcript.whisperx[23].end |
547.093 |
transcript.whisperx[23].text |
一千五百 一千六百億台電有錢嗎要編列啦要來編列這個預算不是編列而已啦保電池你現在不只是編列而已不是你編列這個預算你台電就沒錢了你反而也不可以撥補一千億給你你台電怎麼有錢 還要繼續做這個我們現在先把這個所謂太陽能光電太陽能光電的地區然後先支援附近的這個鄉鎮 |
transcript.whisperx[24].start |
550.914 |
transcript.whisperx[24].end |
574.242 |
transcript.whisperx[24].text |
這個是我們一個新的智慧電網因為台電太陽能光電的這個跟我講的電纜地下化是有相關的嗎跟電纜地下化沒有相關對啊我現在是跟你講電纜地下化但是我們要讓大家有電可以用所以我們就是光電第二天太陽出來以後它就能夠產生電所以我們就會把它接到那個變電所然後來供給他們的用電這樣 |
transcript.whisperx[25].start |
575.782 |
transcript.whisperx[25].end |
601.168 |
transcript.whisperx[25].text |
部長我覺得台電其實應該要整體再去做更快速的這些盤點到底你的哪一些區域是優先的是工業區要優先呢還是臨海的這些比較容易受到損害的要做優先呢有一個很重要的例子當初蘇貞昌院長在做平和公路的電纜地下化的時候被罵到臭頭 |
transcript.whisperx[26].start |
602.435 |
transcript.whisperx[26].end |
625.917 |
transcript.whisperx[26].text |
被罵到臭頭但是現在你看經歷了過去年跟今年平和公路一帶沒有任何停電所以被罵不是壞事你們要能夠耐得住撐得住這個壓力做對的事情堅持做對的事情要能夠撐得住這個壓力那當然我們要給台電最多最多的 |
transcript.whisperx[27].start |
626.949 |
transcript.whisperx[27].end |
656.078 |
transcript.whisperx[27].text |
支持跟協助啊 沒電的時候大家都會一直說台電怎麼那麼快可是真的台電需要經費的時候大家又不肯給又說什麼台電很有錢啊台電不需要這個經費啦我覺得這個是沒道理的所以部長我期待就是說台電當然要加緊腳步去做電纜地下化的整體這些電網韌性的政策要趕快加緊腳步去做那對於預算的爭取其實台電也要據理力爭 |
transcript.whisperx[28].start |
657.025 |
transcript.whisperx[28].end |
658.05 |
transcript.whisperx[28].text |
好不好好好謝謝謝謝委員好 |