| IVOD_ID |
159758 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159758 |
| 日期 |
2025-03-27 |
| 會議資料.會議代碼 |
委員會-11-3-26-4 |
| 會議資料.會議代碼:str |
第11屆第3會期社會福利及衛生環境委員會第4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 |
4 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
26 |
| 會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
| 會議資料.標題 |
第11屆第3會期社會福利及衛生環境委員會第4次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-03-27T13:11:23+08:00 |
| 結束時間 |
2025-03-27T13:21:57+08:00 |
| 影片長度 |
00:10:34 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ae27c1b40c0db900791a170e72b169f97648dfe0a0275fc53cf129e64e549d191b9d0562b452a15f5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
楊曜 |
| 委員發言時間 |
13:11:23 - 13:21:57 |
| 會議時間 |
2025-03-27T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期社會福利及衛生環境委員會第4次全體委員會議（事由：邀請衛生福利部、勞動部、國家發展委員會、教育部、法務部針對「少子女化衝擊，如何營造友善托育環境」進行專題報告，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
2.22471875 |
| transcript.pyannote[0].end |
2.88284375 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
3.62534375 |
| transcript.pyannote[1].end |
4.51971875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
5.68409375 |
| transcript.pyannote[2].end |
6.81471875 |
| transcript.pyannote[3].speaker |
SPEAKER_02 |
| transcript.pyannote[3].start |
15.25221875 |
| transcript.pyannote[3].end |
17.61471875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
15.72471875 |
| transcript.pyannote[4].end |
29.27534375 |
| transcript.pyannote[5].speaker |
SPEAKER_02 |
| transcript.pyannote[5].start |
22.60971875 |
| transcript.pyannote[5].end |
23.53784375 |
| transcript.pyannote[6].speaker |
SPEAKER_02 |
| transcript.pyannote[6].start |
28.83659375 |
| transcript.pyannote[6].end |
29.07284375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
30.40596875 |
| transcript.pyannote[7].end |
31.63784375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
31.95846875 |
| transcript.pyannote[8].end |
38.96159375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
39.70409375 |
| transcript.pyannote[9].end |
45.25596875 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
41.74596875 |
| transcript.pyannote[10].end |
42.96096875 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
43.53471875 |
| transcript.pyannote[11].end |
44.31096875 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
45.84659375 |
| transcript.pyannote[12].end |
50.70659375 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
50.82471875 |
| transcript.pyannote[13].end |
50.87534375 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
50.87534375 |
| transcript.pyannote[14].end |
50.95971875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
51.97221875 |
| transcript.pyannote[15].end |
53.23784375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
53.71034375 |
| transcript.pyannote[16].end |
54.68909375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
55.04346875 |
| transcript.pyannote[17].end |
56.46096875 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
57.11909375 |
| transcript.pyannote[18].end |
58.21596875 |
| transcript.pyannote[19].speaker |
SPEAKER_02 |
| transcript.pyannote[19].start |
58.24971875 |
| transcript.pyannote[19].end |
95.15534375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
64.99971875 |
| transcript.pyannote[20].end |
65.11784375 |
| transcript.pyannote[21].speaker |
SPEAKER_02 |
| transcript.pyannote[21].start |
95.72909375 |
| transcript.pyannote[21].end |
103.45784375 |
| transcript.pyannote[22].speaker |
SPEAKER_02 |
| transcript.pyannote[22].start |
103.55909375 |
| transcript.pyannote[22].end |
123.11721875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
123.11721875 |
| transcript.pyannote[23].end |
123.65721875 |
| transcript.pyannote[24].speaker |
SPEAKER_02 |
| transcript.pyannote[24].start |
123.65721875 |
| transcript.pyannote[24].end |
124.01159375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
124.01159375 |
| transcript.pyannote[25].end |
128.33159375 |
| transcript.pyannote[26].speaker |
SPEAKER_02 |
| transcript.pyannote[26].start |
126.44159375 |
| transcript.pyannote[26].end |
128.28096875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
128.77034375 |
| transcript.pyannote[27].end |
130.05284375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
130.28909375 |
| transcript.pyannote[28].end |
135.21659375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
135.94221875 |
| transcript.pyannote[29].end |
139.43534375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
140.26221875 |
| transcript.pyannote[30].end |
147.60284375 |
| transcript.pyannote[31].speaker |
SPEAKER_02 |
| transcript.pyannote[31].start |
146.65784375 |
| transcript.pyannote[31].end |
148.00784375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
149.10471875 |
| transcript.pyannote[32].end |
150.57284375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
152.51346875 |
| transcript.pyannote[33].end |
168.98346875 |
| transcript.pyannote[34].speaker |
SPEAKER_02 |
| transcript.pyannote[34].start |
152.68221875 |
| transcript.pyannote[34].end |
154.03221875 |
| transcript.pyannote[35].speaker |
SPEAKER_02 |
| transcript.pyannote[35].start |
161.38971875 |
| transcript.pyannote[35].end |
162.95909375 |
| transcript.pyannote[36].speaker |
SPEAKER_02 |
| transcript.pyannote[36].start |
164.12346875 |
| transcript.pyannote[36].end |
165.72659375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
169.59096875 |
| transcript.pyannote[37].end |
172.83096875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
173.48909375 |
| transcript.pyannote[38].end |
177.26909375 |
| transcript.pyannote[39].speaker |
SPEAKER_02 |
| transcript.pyannote[39].start |
173.55659375 |
| transcript.pyannote[39].end |
175.27784375 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
177.26909375 |
| transcript.pyannote[40].end |
177.50534375 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
178.04534375 |
| transcript.pyannote[41].end |
207.34034375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
178.34909375 |
| transcript.pyannote[42].end |
178.51784375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
188.13659375 |
| transcript.pyannote[43].end |
188.35596875 |
| transcript.pyannote[44].speaker |
SPEAKER_02 |
| transcript.pyannote[44].start |
210.78284375 |
| transcript.pyannote[44].end |
211.17096875 |
| transcript.pyannote[45].speaker |
SPEAKER_02 |
| transcript.pyannote[45].start |
211.35659375 |
| transcript.pyannote[45].end |
218.54534375 |
| transcript.pyannote[46].speaker |
SPEAKER_02 |
| transcript.pyannote[46].start |
218.78159375 |
| transcript.pyannote[46].end |
218.79846875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
218.79846875 |
| transcript.pyannote[47].end |
219.15284375 |
| transcript.pyannote[48].speaker |
SPEAKER_02 |
| transcript.pyannote[48].start |
219.92909375 |
| transcript.pyannote[48].end |
219.94596875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
219.94596875 |
| transcript.pyannote[49].end |
229.09221875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
229.61534375 |
| transcript.pyannote[50].end |
231.30284375 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
233.19284375 |
| transcript.pyannote[51].end |
234.86346875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
233.31096875 |
| transcript.pyannote[52].end |
233.47971875 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
234.96471875 |
| transcript.pyannote[53].end |
250.32096875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
245.32596875 |
| transcript.pyannote[54].end |
245.84909375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
250.32096875 |
| transcript.pyannote[55].end |
262.97721875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
256.96971875 |
| transcript.pyannote[56].end |
257.99909375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
258.62346875 |
| transcript.pyannote[57].end |
258.84284375 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
263.12909375 |
| transcript.pyannote[58].end |
265.99784375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
266.36909375 |
| transcript.pyannote[59].end |
304.30409375 |
| transcript.pyannote[60].speaker |
SPEAKER_02 |
| transcript.pyannote[60].start |
268.39409375 |
| transcript.pyannote[60].end |
269.06909375 |
| transcript.pyannote[61].speaker |
SPEAKER_02 |
| transcript.pyannote[61].start |
271.07721875 |
| transcript.pyannote[61].end |
271.66784375 |
| transcript.pyannote[62].speaker |
SPEAKER_02 |
| transcript.pyannote[62].start |
297.03096875 |
| transcript.pyannote[62].end |
297.63846875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
304.62471875 |
| transcript.pyannote[63].end |
310.14284375 |
| transcript.pyannote[64].speaker |
SPEAKER_02 |
| transcript.pyannote[64].start |
308.91096875 |
| transcript.pyannote[64].end |
311.61096875 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
310.76721875 |
| transcript.pyannote[65].end |
312.87659375 |
| transcript.pyannote[66].speaker |
SPEAKER_02 |
| transcript.pyannote[66].start |
311.74596875 |
| transcript.pyannote[66].end |
312.10034375 |
| transcript.pyannote[67].speaker |
SPEAKER_02 |
| transcript.pyannote[67].start |
312.38721875 |
| transcript.pyannote[67].end |
313.09596875 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
313.73721875 |
| transcript.pyannote[68].end |
313.97346875 |
| transcript.pyannote[69].speaker |
SPEAKER_02 |
| transcript.pyannote[69].start |
313.97346875 |
| transcript.pyannote[69].end |
314.39534375 |
| transcript.pyannote[70].speaker |
SPEAKER_02 |
| transcript.pyannote[70].start |
315.22221875 |
| transcript.pyannote[70].end |
320.38596875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
318.86721875 |
| transcript.pyannote[71].end |
322.83284375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
323.25471875 |
| transcript.pyannote[72].end |
323.27159375 |
| transcript.pyannote[73].speaker |
SPEAKER_02 |
| transcript.pyannote[73].start |
323.27159375 |
| transcript.pyannote[73].end |
327.59159375 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
323.54159375 |
| transcript.pyannote[74].end |
334.39221875 |
| transcript.pyannote[75].speaker |
SPEAKER_02 |
| transcript.pyannote[75].start |
331.86096875 |
| transcript.pyannote[75].end |
332.60346875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
332.60346875 |
| transcript.pyannote[76].end |
332.62034375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
334.57784375 |
| transcript.pyannote[77].end |
347.40284375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
347.25096875 |
| transcript.pyannote[78].end |
348.29721875 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
347.65596875 |
| transcript.pyannote[79].end |
393.03284375 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
354.57471875 |
| transcript.pyannote[80].end |
354.81096875 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
357.61221875 |
| transcript.pyannote[81].end |
359.92409375 |
| transcript.pyannote[82].speaker |
SPEAKER_02 |
| transcript.pyannote[82].start |
373.00221875 |
| transcript.pyannote[82].end |
373.86284375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
383.81909375 |
| transcript.pyannote[83].end |
384.34221875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
386.24909375 |
| transcript.pyannote[84].end |
387.86909375 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
393.40409375 |
| transcript.pyannote[85].end |
412.52346875 |
| transcript.pyannote[86].speaker |
SPEAKER_02 |
| transcript.pyannote[86].start |
397.21784375 |
| transcript.pyannote[86].end |
397.69034375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
400.64346875 |
| transcript.pyannote[87].end |
400.67721875 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
400.67721875 |
| transcript.pyannote[88].end |
401.28471875 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
406.70159375 |
| transcript.pyannote[89].end |
407.03909375 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
413.21534375 |
| transcript.pyannote[90].end |
413.78909375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
419.35784375 |
| transcript.pyannote[91].end |
422.53034375 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
423.25596875 |
| transcript.pyannote[92].end |
429.66846875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
429.97221875 |
| transcript.pyannote[93].end |
441.90284375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
441.37971875 |
| transcript.pyannote[94].end |
441.41346875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
441.48096875 |
| transcript.pyannote[95].end |
441.61596875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
442.89846875 |
| transcript.pyannote[96].end |
448.33221875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
449.05784375 |
| transcript.pyannote[97].end |
455.26784375 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
450.93096875 |
| transcript.pyannote[98].end |
451.72409375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
456.63471875 |
| transcript.pyannote[99].end |
458.79471875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
459.16596875 |
| transcript.pyannote[100].end |
460.54971875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
461.15721875 |
| transcript.pyannote[101].end |
461.84909375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
462.64221875 |
| transcript.pyannote[102].end |
471.14721875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
463.24971875 |
| transcript.pyannote[103].end |
464.70096875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
471.56909375 |
| transcript.pyannote[104].end |
472.71659375 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
473.29034375 |
| transcript.pyannote[105].end |
475.46721875 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
476.14221875 |
| transcript.pyannote[106].end |
477.72846875 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
478.50471875 |
| transcript.pyannote[107].end |
481.55909375 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
482.18346875 |
| transcript.pyannote[108].end |
484.74846875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
485.10284375 |
| transcript.pyannote[109].end |
487.63409375 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
487.95471875 |
| transcript.pyannote[110].end |
489.45659375 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
488.76471875 |
| transcript.pyannote[111].end |
489.18659375 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
489.45659375 |
| transcript.pyannote[112].end |
491.70096875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
492.27471875 |
| transcript.pyannote[113].end |
493.42221875 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
493.70909375 |
| transcript.pyannote[114].end |
496.07159375 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
496.39221875 |
| transcript.pyannote[115].end |
497.64096875 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
497.80971875 |
| transcript.pyannote[116].end |
515.17409375 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
516.06846875 |
| transcript.pyannote[117].end |
517.18221875 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
517.46909375 |
| transcript.pyannote[118].end |
517.99221875 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
518.21159375 |
| transcript.pyannote[119].end |
519.51096875 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
520.91159375 |
| transcript.pyannote[120].end |
521.99159375 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
522.48096875 |
| transcript.pyannote[121].end |
523.71284375 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
524.11784375 |
| transcript.pyannote[122].end |
532.43721875 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
533.48346875 |
| transcript.pyannote[123].end |
534.98534375 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
535.64346875 |
| transcript.pyannote[124].end |
536.80784375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
536.18346875 |
| transcript.pyannote[125].end |
536.25096875 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
536.75721875 |
| transcript.pyannote[126].end |
536.84159375 |
| transcript.pyannote[127].speaker |
SPEAKER_02 |
| transcript.pyannote[127].start |
536.84159375 |
| transcript.pyannote[127].end |
536.87534375 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
536.87534375 |
| transcript.pyannote[128].end |
544.23284375 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
544.58721875 |
| transcript.pyannote[129].end |
554.42534375 |
| transcript.pyannote[130].speaker |
SPEAKER_02 |
| transcript.pyannote[130].start |
549.04221875 |
| transcript.pyannote[130].end |
549.49784375 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
554.83034375 |
| transcript.pyannote[131].end |
555.18471875 |
| transcript.pyannote[132].speaker |
SPEAKER_01 |
| transcript.pyannote[132].start |
556.43346875 |
| transcript.pyannote[132].end |
559.77471875 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
560.51721875 |
| transcript.pyannote[133].end |
561.44534375 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
561.79971875 |
| transcript.pyannote[134].end |
563.45346875 |
| transcript.pyannote[135].speaker |
SPEAKER_01 |
| transcript.pyannote[135].start |
564.02721875 |
| transcript.pyannote[135].end |
565.17471875 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
565.73159375 |
| transcript.pyannote[136].end |
566.15346875 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
567.18284375 |
| transcript.pyannote[137].end |
568.33034375 |
| transcript.pyannote[138].speaker |
SPEAKER_01 |
| transcript.pyannote[138].start |
568.63409375 |
| transcript.pyannote[138].end |
569.84909375 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
570.42284375 |
| transcript.pyannote[139].end |
572.85284375 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
573.73034375 |
| transcript.pyannote[140].end |
574.32096875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
574.64159375 |
| transcript.pyannote[141].end |
578.77596875 |
| transcript.pyannote[142].speaker |
SPEAKER_01 |
| transcript.pyannote[142].start |
579.23159375 |
| transcript.pyannote[142].end |
586.85909375 |
| transcript.pyannote[143].speaker |
SPEAKER_02 |
| transcript.pyannote[143].start |
579.40034375 |
| transcript.pyannote[143].end |
581.71221875 |
| transcript.pyannote[144].speaker |
SPEAKER_02 |
| transcript.pyannote[144].start |
586.85909375 |
| transcript.pyannote[144].end |
587.34846875 |
| transcript.pyannote[145].speaker |
SPEAKER_01 |
| transcript.pyannote[145].start |
587.34846875 |
| transcript.pyannote[145].end |
603.53159375 |
| transcript.pyannote[146].speaker |
SPEAKER_01 |
| transcript.pyannote[146].start |
603.83534375 |
| transcript.pyannote[146].end |
604.57784375 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
606.18096875 |
| transcript.pyannote[147].end |
621.26721875 |
| transcript.pyannote[148].speaker |
SPEAKER_02 |
| transcript.pyannote[148].start |
607.36221875 |
| transcript.pyannote[148].end |
607.64909375 |
| transcript.pyannote[149].speaker |
SPEAKER_02 |
| transcript.pyannote[149].start |
621.43596875 |
| transcript.pyannote[149].end |
623.81534375 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
622.56659375 |
| transcript.pyannote[150].end |
630.80159375 |
| transcript.pyannote[151].speaker |
SPEAKER_02 |
| transcript.pyannote[151].start |
630.22784375 |
| transcript.pyannote[151].end |
632.82659375 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
631.17284375 |
| transcript.pyannote[152].end |
632.13471875 |
| transcript.pyannote[153].speaker |
SPEAKER_01 |
| transcript.pyannote[153].start |
632.15159375 |
| transcript.pyannote[153].end |
632.21909375 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
632.38784375 |
| transcript.pyannote[154].end |
632.52284375 |
| transcript.pyannote[155].speaker |
SPEAKER_02 |
| transcript.pyannote[155].start |
633.38346875 |
| transcript.pyannote[155].end |
633.73784375 |
| transcript.whisperx[0].start |
2.456 |
| transcript.whisperx[0].end |
28.897 |
| transcript.whisperx[0].text |
謝謝主席主席請一下衛福部理事長養委員好市長好市長就是少子化是一個全球性的問題啊是是沒錯我們看就是我國的爭議率是一路下滑沒錯 |
| transcript.whisperx[1].start |
30.515 |
| transcript.whisperx[1].end |
50.336 |
| transcript.whisperx[1].text |
南韓比較特殊南韓曾經是總和生育率全球幾乎是最低的他們在2024年也就是去年他們的生育率有微乎的回升 |
| transcript.whisperx[2].start |
52.488 |
| transcript.whisperx[2].end |
67.698 |
| transcript.whisperx[2].text |
請教一下次長你們有沒有研究到底是什麼原因非常感謝委員的關心據我所知去年的數字它本來是確實全世界競賠莫作就TFR是0.7去年大概回到0.76 |
| transcript.whisperx[3].start |
69.359 |
| transcript.whisperx[3].end |
95.054 |
| transcript.whisperx[3].text |
那這個其實對韓國人就很大的一個改變那據我了解因為我之前在學界也認識很多很多韓國的一個朋友其實昨天就有韓國學者也有來拜訪我我有這個問題我要請教他是說他們最近確實有一些除了津貼之外另外其實公托啦他們公托的比例老實說確實比我們高這是第二個重點第三個最重要的就是其實各地方政府他們的社會住宅 |
| transcript.whisperx[4].start |
95.794 |
| transcript.whisperx[4].end |
121.053 |
| transcript.whisperx[4].text |
他們的住宅啦住宅那邊的可以讓就是說他有分胎次別嘛一胎二胎三胎他的這一個補助的額度確實比台灣來得更高那我覺得這確實台灣應該要來借進的地方就是你總是讓其實韓國他們在最近這幾年他們的房價也漲得非常非常驚人那年輕人也付不起跟台灣同樣問題可是他們用社會住宅這一個方式我覺得確實應該可以來考慮我這個 |
| transcript.whisperx[5].start |
124.595 |
| transcript.whisperx[5].end |
146.747 |
| transcript.whisperx[5].text |
當然社宅好像不是衛福部那部分比較是內政部用社宅來當作誘因我個人也覺得好像是一個很很好的方法可以就這樣子就是他們的公托做得比我們好沒錯然後他們的社宅的誘因誘高沒錯還有嗎 |
| transcript.whisperx[6].start |
152.771 |
| transcript.whisperx[6].end |
165.364 |
| transcript.whisperx[6].text |
還是我這裡還有一個問題就是因為只有一年啦所以也不見得因為他大概就是只有去年才開始所以可能可能還需要長期觀察那你提的 |
| transcript.whisperx[7].start |
169.688 |
| transcript.whisperx[7].end |
191.477 |
| transcript.whisperx[7].text |
那公托的部分零到二歲是你對 我們的分工是這樣你要不要也直接講一下就是好 各位委員包括我們現在目前有關公托的部分我們現在目前主要就是有一些一些托育方面的一些設施那這裡面包括就是說我們現在目前各位委員包括我們現在目前有總共497 |
| transcript.whisperx[8].start |
193.979 |
| transcript.whisperx[8].end |
206.748 |
| transcript.whisperx[8].text |
497的這個托林中心嘛那我們現在目前接下來我們會來趕快來做這個積極的佈建那今年應該會再多增加46處嘛還會增加大概94處那預計可以再多增加3000名的這個小朋友 |
| transcript.whisperx[9].start |
220.298 |
| transcript.whisperx[9].end |
222.721 |
| transcript.whisperx[9].text |
那也就是說現在497我們就算500啦那你們在多久之內會再增加這個 |
| transcript.whisperx[10].start |
233.331 |
| transcript.whisperx[10].end |
260.701 |
| transcript.whisperx[10].text |
大概時程大概多久一般我們大概到一個據點的推估大概都在兩年左右那但是其實大概到即使到今年都一直陸陸續續各縣市政府還有在額外再申請的所以這個數字還在持續的增加當中對因為托嬰中心除了其他的配備以外便利性也是一個很重要的就是怎麼讓怎麼廣布據點 |
| transcript.whisperx[11].start |
263.631 |
| transcript.whisperx[11].end |
284.968 |
| transcript.whisperx[11].text |
當然啦 要廣佈據點拖延人力的還是有問題啦所以整個政策其實我們不能只看一個點啦只看一個點都會覺得好像很容易啦不過不管怎麼樣就是 |
| transcript.whisperx[12].start |
287.149 |
| transcript.whisperx[12].end |
312.018 |
| transcript.whisperx[12].text |
很感謝次長大概也就之前的經歷所以剛好有外國的朋友可以跟我做溝通今天也就很快速的回答了這兩個你剛才說是三個可是我聽是一個托育一個是托育另外一個是住宅就兩個嘛 |
| transcript.whisperx[13].start |
315.69 |
| transcript.whisperx[13].end |
333.449 |
| transcript.whisperx[13].text |
因為還有一個就補貼啦他們也一樣跟台灣也有這一個因為補貼好像也都比我們高這個數字我必須要再來這邊認一下我們現在目前大概就是一五六七我這邊有資料啦不過就是 |
| transcript.whisperx[14].start |
335.05 |
| transcript.whisperx[14].end |
362.496 |
| transcript.whisperx[14].text |
時間的關係所以我可能不那個就是確實他們的補貼也比我們高不過各類補貼也是要看政府的整體財政那我也希望因為我們常常講說少子女化其實是一個國安的危機沒錯這個我們確實就是盡可能的我們把別人 |
| transcript.whisperx[15].start |
363.516 |
| transcript.whisperx[15].end |
384.64 |
| transcript.whisperx[15].text |
別人在推的好的政策好像剛剛次長講的涉災的部分我們可能也會跟內政部來做一個討論那托育的部分不管0到2歲或者是以上的是屬於教育部我也都希望能夠趕快去廣布據點培養人力讓年輕的父母其實確實是 |
| transcript.whisperx[16].start |
394.022 |
| transcript.whisperx[16].end |
411.47 |
| transcript.whisperx[16].text |
職業家庭兩頭燒有它一定的困難點太困難它就越不想生嘛所以我們還是盡可能用政府的力量來協助他們好謝謝次長次長請回感謝委員謝謝主席我請一下勞動部理事長 |
| transcript.whisperx[17].start |
419.7 |
| transcript.whisperx[17].end |
445.804 |
| transcript.whisperx[17].text |
養委員好市長好市長我因為時間的關係所以我就簡單問一個問題你們現在在研議要修正就業保險法就是讓雙清假如領滿6個月的育嬰留職停薪的可以再增加一個月這是你們的方向是不是可是每年我們大概有9萬個人來 |
| transcript.whisperx[18].start |
449.29 |
| transcript.whisperx[18].end |
476.87 |
| transcript.whisperx[18].text |
來申請一因留職去年是九萬三千對不對那假如按照你們現在的規定就是雙親都要滿六個月才各加一個月是不是這樣子對方向是這樣那這樣子可以受惠的是只有兩萬一千人左右我們的資料是大概這樣子我提一個建議是 |
| transcript.whisperx[19].start |
478.547 |
| transcript.whisperx[19].end |
487.446 |
| transcript.whisperx[19].text |
你們要不要 因為我們現在是一流值可以申請勞保投保薪資的八成的津貼嘛 |
| transcript.whisperx[20].start |
488.001 |
| transcript.whisperx[20].end |
514.793 |
| transcript.whisperx[20].text |
六成然後補貼兩成六成補貼兩成那能不能就是不要用六個月來算因為六個月來算就是只有大概兩成多一點的人有申請育嬰留職的人數裡面只有大概兩成多一點點的人可以享受到政府的這一項鼓勵 |
| transcript.whisperx[21].start |
516.153 |
| transcript.whisperx[21].end |
534.707 |
| transcript.whisperx[21].text |
能不能從勤領的部分譬如說政府勤領六成嘛政府補貼兩成嘛能不能直接就是政府補貼兩成五或者是三成市長懂我的意思嗎 |
| transcript.whisperx[22].start |
535.68 |
| transcript.whisperx[22].end |
549.932 |
| transcript.whisperx[22].text |
用公務預算是不是不是你們現在這兩層是用公務預算多這個月你們也是有兩層是公務預算六層是基金那就是公務預算的部分 |
| transcript.whisperx[23].start |
558.043 |
| transcript.whisperx[23].end |
578.596 |
| transcript.whisperx[23].text |
你們應該要去思考看看,能不能不要用各滿六個月,各加一個月。就是有請領的,就直接是基金負擔六成,然後公務預算負擔兩成五到三成。 |
| transcript.whisperx[24].start |
579.281 |
| transcript.whisperx[24].end |
601.929 |
| transcript.whisperx[24].text |
了解我的意思這樣子可以受惠的人數比較多其實我時間的關係因為雙親都必須要滿12個月對很多家庭其實是有譬如說父母親離異的啦比較會有一些 |
| transcript.whisperx[25].start |
606.246 |
| transcript.whisperx[25].end |
630.481 |
| transcript.whisperx[25].text |
困難出來所以就直接假如說我們有打算要多鼓勵就直接是在經營的層數上做增加是了解委員的意思我沒有要你在這邊直接回答不過你們這個真的可以回去做個思考謝謝主席 |