| IVOD_ID |
165519 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/165519 |
| 日期 |
2025-11-17 |
| 會議資料.會議代碼 |
委員會-11-4-26-11 |
| 會議資料.會議代碼:str |
第11屆第4會期社會福利及衛生環境委員會第11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 |
11 |
| 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4會期社會福利及衛生環境委員會第11次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-11-17T12:19:40+08:00 |
| 結束時間 |
2025-11-17T12:29:21+08:00 |
| 影片長度 |
00:09:41 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ff1e125e807f56ab813d2dfd0a7bcfcebfb6dfa65ed0fc1ddbd0c7f9f51010c40fb57351b41a9d0d5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
賴士葆 |
| 委員發言時間 |
12:19:40 - 12:29:21 |
| 會議時間 |
2025-11-17T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期社會福利及衛生環境委員會第11次全體委員會議(事由:一、審查
(一)委員黃健豪等16人、委員陳超明等16人、委員蘇清泉等17人、委員呂玉玲等16人及委員柯志恩等16人擬具「勞工保險條例第六十三條條文修正草案」案。
(二)委員陳瑩等19人擬具「勞工保險條例第五十八條條文修正草案」案。
(三)委員許宇甄等19人、委員林國成等32人、委員王育敏等20人、委員蔡其昌等19人、委員羅廷瑋等16人、委員蔡易餘等18人、委員王美惠等17人、委員徐欣瑩等22人、委員翁曉玲等19人、委員楊曜等25人及委員王鴻薇等22人擬具「勞工保險條例第六十六條及第六十九條條文修正草案」案。
(四)委員邱鎮軍等19人擬具「勞工保險條例第三十一條條文修正草案」案。
(五)委員李昆澤等25人及委員賴瑞隆等17人擬具「勞工保險條例第六十九條條文修正草案」案。
(六)委員廖先翔等18人擬具「勞工保險條例第十九條條文修正草案」案。
(七)委員葉元之等21人、委員何欣純等17人及委員陳超明等16人擬具「勞工保險條例第五十八條條文修正草案」案。
(八)委員陳秀寳等21人擬具「勞工保險條例部分條文修正草案」案。
(九)委員王鴻薇等17人擬具「勞工保險條例第七十四條之二條文修正草案」案。
(十)委員林倩綺等32人及委員傅崐萁等19人擬具「勞工保險條例第五十九條條文修正草案」案。
(十一)委員陳瑩等19人擬具「勞工保險條例第六條條文修正草案」案。
(十二)委員李昆澤等19人擬具「勞工保險條例第二十九條條文修正草案」案。
二、審查
(一)委員陳玉珍等18人擬具「就業服務法第二十四條及第二十七條條文修正草案」案。
(二)委員涂權吉等17人擬具「就業服務法第二十四條條文修正草案」案。
(三)委員許宇甄等18人擬具「就業服務法第二十四條條文修正草案」案。
(四)委員翁曉玲等22人擬具「就業服務法第二十四條條文修正草案」案。
(五)委員蘇清泉等18人擬具「就業服務法第二十四條條文修正草案」案。
(六)委員廖偉翔等16人擬具「就業服務法第二十四條條文修正草案」案。
(七)委員洪孟楷等16人擬具「就業服務法第二十四條條文修正草案」案。
(八)台灣民眾黨黨團擬具「就業服務法第二十四條條文修正草案」案。
(九)委員柯志恩等18人擬具「就業服務法第二十四條條文修正草案」案。
(十)委員王育敏等17人擬具「就業服務法第二十四條、第二十七條及第二十八條條文修正草案」案。
(十一)委員楊瓊瓔等27人擬具「就業服務法第二十四條條文修正草案」案。
(十二)委員郭國文等19人擬具「就業服務法第二十四條及第二十六條之一條文修正草案」案。
【綜合詢答,僅詢答】) |
| transcript.pyannote[0].speaker |
SPEAKER_02 |
| transcript.pyannote[0].start |
4.21596875 |
| transcript.pyannote[0].end |
5.92034375 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
6.17346875 |
| transcript.pyannote[1].end |
8.18159375 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
8.70471875 |
| transcript.pyannote[2].end |
9.53159375 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
15.80909375 |
| transcript.pyannote[3].end |
16.38284375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
16.61909375 |
| transcript.pyannote[4].end |
16.63596875 |
| transcript.pyannote[5].speaker |
SPEAKER_02 |
| transcript.pyannote[5].start |
16.63596875 |
| transcript.pyannote[5].end |
17.69909375 |
| transcript.pyannote[6].speaker |
SPEAKER_02 |
| transcript.pyannote[6].start |
19.43721875 |
| transcript.pyannote[6].end |
23.09909375 |
| transcript.pyannote[7].speaker |
SPEAKER_02 |
| transcript.pyannote[7].start |
23.55471875 |
| transcript.pyannote[7].end |
26.30534375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
23.74034375 |
| transcript.pyannote[8].end |
23.87534375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
24.14534375 |
| transcript.pyannote[9].end |
24.16221875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
24.26346875 |
| transcript.pyannote[10].end |
24.71909375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
24.71909375 |
| transcript.pyannote[11].end |
24.92159375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
24.92159375 |
| transcript.pyannote[12].end |
25.30971875 |
| transcript.pyannote[13].speaker |
SPEAKER_02 |
| transcript.pyannote[13].start |
27.28409375 |
| transcript.pyannote[13].end |
28.24596875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
30.05159375 |
| transcript.pyannote[14].end |
31.80659375 |
| transcript.pyannote[15].speaker |
SPEAKER_02 |
| transcript.pyannote[15].start |
32.05971875 |
| transcript.pyannote[15].end |
32.39721875 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
32.92034375 |
| transcript.pyannote[16].end |
33.79784375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
33.81471875 |
| transcript.pyannote[17].end |
33.84846875 |
| transcript.pyannote[18].speaker |
SPEAKER_02 |
| transcript.pyannote[18].start |
33.84846875 |
| transcript.pyannote[18].end |
36.80159375 |
| transcript.pyannote[19].speaker |
SPEAKER_02 |
| transcript.pyannote[19].start |
37.25721875 |
| transcript.pyannote[19].end |
39.53534375 |
| transcript.pyannote[20].speaker |
SPEAKER_02 |
| transcript.pyannote[20].start |
39.82221875 |
| transcript.pyannote[20].end |
40.63221875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
39.87284375 |
| transcript.pyannote[21].end |
43.60221875 |
| transcript.pyannote[22].speaker |
SPEAKER_02 |
| transcript.pyannote[22].start |
43.88909375 |
| transcript.pyannote[22].end |
44.80034375 |
| transcript.pyannote[23].speaker |
SPEAKER_02 |
| transcript.pyannote[23].start |
45.07034375 |
| transcript.pyannote[23].end |
47.80409375 |
| transcript.pyannote[24].speaker |
SPEAKER_02 |
| transcript.pyannote[24].start |
47.90534375 |
| transcript.pyannote[24].end |
48.83346875 |
| transcript.pyannote[25].speaker |
SPEAKER_02 |
| transcript.pyannote[25].start |
49.23846875 |
| transcript.pyannote[25].end |
49.96409375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
50.06534375 |
| transcript.pyannote[26].end |
54.85784375 |
| transcript.pyannote[27].speaker |
SPEAKER_02 |
| transcript.pyannote[27].start |
55.56659375 |
| transcript.pyannote[27].end |
56.35971875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
57.49034375 |
| transcript.pyannote[28].end |
59.21159375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
61.54034375 |
| transcript.pyannote[29].end |
67.42971875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
68.12159375 |
| transcript.pyannote[30].end |
73.36971875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
73.79159375 |
| transcript.pyannote[31].end |
76.39034375 |
| transcript.pyannote[32].speaker |
SPEAKER_02 |
| transcript.pyannote[32].start |
76.94721875 |
| transcript.pyannote[32].end |
79.61346875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
79.95096875 |
| transcript.pyannote[33].end |
83.12346875 |
| transcript.pyannote[34].speaker |
SPEAKER_02 |
| transcript.pyannote[34].start |
82.00971875 |
| transcript.pyannote[34].end |
83.17409375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
83.17409375 |
| transcript.pyannote[35].end |
86.39721875 |
| transcript.pyannote[36].speaker |
SPEAKER_02 |
| transcript.pyannote[36].start |
85.43534375 |
| transcript.pyannote[36].end |
87.37596875 |
| transcript.pyannote[37].speaker |
SPEAKER_02 |
| transcript.pyannote[37].start |
87.84846875 |
| transcript.pyannote[37].end |
88.48971875 |
| transcript.pyannote[38].speaker |
SPEAKER_02 |
| transcript.pyannote[38].start |
88.92846875 |
| transcript.pyannote[38].end |
91.72971875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
91.72971875 |
| transcript.pyannote[39].end |
92.05034375 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
92.70846875 |
| transcript.pyannote[40].end |
93.80534375 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
94.19346875 |
| transcript.pyannote[41].end |
96.15096875 |
| transcript.pyannote[42].speaker |
SPEAKER_02 |
| transcript.pyannote[42].start |
96.79221875 |
| transcript.pyannote[42].end |
98.58096875 |
| transcript.pyannote[43].speaker |
SPEAKER_02 |
| transcript.pyannote[43].start |
98.95221875 |
| transcript.pyannote[43].end |
100.92659375 |
| transcript.pyannote[44].speaker |
SPEAKER_02 |
| transcript.pyannote[44].start |
101.44971875 |
| transcript.pyannote[44].end |
104.47034375 |
| transcript.pyannote[45].speaker |
SPEAKER_02 |
| transcript.pyannote[45].start |
105.22971875 |
| transcript.pyannote[45].end |
108.03096875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
108.82409375 |
| transcript.pyannote[46].end |
116.38409375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
116.90721875 |
| transcript.pyannote[47].end |
125.64846875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
125.93534375 |
| transcript.pyannote[48].end |
130.13721875 |
| transcript.pyannote[49].speaker |
SPEAKER_02 |
| transcript.pyannote[49].start |
129.95159375 |
| transcript.pyannote[49].end |
135.11534375 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
135.30096875 |
| transcript.pyannote[50].end |
141.08909375 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
137.24159375 |
| transcript.pyannote[51].end |
138.59159375 |
| transcript.pyannote[52].speaker |
SPEAKER_02 |
| transcript.pyannote[52].start |
141.24096875 |
| transcript.pyannote[52].end |
144.22784375 |
| transcript.pyannote[53].speaker |
SPEAKER_02 |
| transcript.pyannote[53].start |
144.36284375 |
| transcript.pyannote[53].end |
145.57784375 |
| transcript.pyannote[54].speaker |
SPEAKER_02 |
| transcript.pyannote[54].start |
145.66221875 |
| transcript.pyannote[54].end |
148.04159375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
150.21846875 |
| transcript.pyannote[55].end |
156.73221875 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
151.04534375 |
| transcript.pyannote[56].end |
151.48409375 |
| transcript.pyannote[57].speaker |
SPEAKER_02 |
| transcript.pyannote[57].start |
156.73221875 |
| transcript.pyannote[57].end |
167.66721875 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
167.86971875 |
| transcript.pyannote[58].end |
168.98346875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
169.33784375 |
| transcript.pyannote[59].end |
170.33346875 |
| transcript.pyannote[60].speaker |
SPEAKER_02 |
| transcript.pyannote[60].start |
170.99159375 |
| transcript.pyannote[60].end |
173.89409375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
173.25284375 |
| transcript.pyannote[61].end |
174.68721875 |
| transcript.pyannote[62].speaker |
SPEAKER_02 |
| transcript.pyannote[62].start |
174.83909375 |
| transcript.pyannote[62].end |
177.91034375 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
180.79596875 |
| transcript.pyannote[63].end |
180.81284375 |
| transcript.pyannote[64].speaker |
SPEAKER_02 |
| transcript.pyannote[64].start |
180.81284375 |
| transcript.pyannote[64].end |
184.45784375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
181.11659375 |
| transcript.pyannote[65].end |
181.23471875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
181.23471875 |
| transcript.pyannote[66].end |
181.25159375 |
| transcript.pyannote[67].speaker |
SPEAKER_02 |
| transcript.pyannote[67].start |
185.28471875 |
| transcript.pyannote[67].end |
186.11159375 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
186.71909375 |
| transcript.pyannote[68].end |
189.16596875 |
| transcript.pyannote[69].speaker |
SPEAKER_02 |
| transcript.pyannote[69].start |
190.19534375 |
| transcript.pyannote[69].end |
197.28284375 |
| transcript.pyannote[70].speaker |
SPEAKER_02 |
| transcript.pyannote[70].start |
197.58659375 |
| transcript.pyannote[70].end |
199.18971875 |
| transcript.pyannote[71].speaker |
SPEAKER_02 |
| transcript.pyannote[71].start |
199.69596875 |
| transcript.pyannote[71].end |
204.99471875 |
| transcript.pyannote[72].speaker |
SPEAKER_02 |
| transcript.pyannote[72].start |
205.16346875 |
| transcript.pyannote[72].end |
206.29409375 |
| transcript.pyannote[73].speaker |
SPEAKER_02 |
| transcript.pyannote[73].start |
206.95221875 |
| transcript.pyannote[73].end |
209.02784375 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
209.29784375 |
| transcript.pyannote[74].end |
213.41534375 |
| transcript.pyannote[75].speaker |
SPEAKER_02 |
| transcript.pyannote[75].start |
214.05659375 |
| transcript.pyannote[75].end |
218.02221875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
216.13221875 |
| transcript.pyannote[76].end |
222.46034375 |
| transcript.pyannote[77].speaker |
SPEAKER_02 |
| transcript.pyannote[77].start |
220.04721875 |
| transcript.pyannote[77].end |
221.19471875 |
| transcript.pyannote[78].speaker |
SPEAKER_02 |
| transcript.pyannote[78].start |
222.29159375 |
| transcript.pyannote[78].end |
222.54471875 |
| transcript.pyannote[79].speaker |
SPEAKER_02 |
| transcript.pyannote[79].start |
222.84846875 |
| transcript.pyannote[79].end |
227.11784375 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
227.43846875 |
| transcript.pyannote[80].end |
229.34534375 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
229.54784375 |
| transcript.pyannote[81].end |
231.31971875 |
| transcript.pyannote[82].speaker |
SPEAKER_02 |
| transcript.pyannote[82].start |
231.64034375 |
| transcript.pyannote[82].end |
234.99846875 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
235.57221875 |
| transcript.pyannote[83].end |
237.32721875 |
| transcript.pyannote[84].speaker |
SPEAKER_02 |
| transcript.pyannote[84].start |
238.47471875 |
| transcript.pyannote[84].end |
239.62221875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
240.90471875 |
| transcript.pyannote[85].end |
241.96784375 |
| transcript.pyannote[86].speaker |
SPEAKER_02 |
| transcript.pyannote[86].start |
241.96784375 |
| transcript.pyannote[86].end |
245.56221875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
244.49909375 |
| transcript.pyannote[87].end |
245.35971875 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
245.81534375 |
| transcript.pyannote[88].end |
248.78534375 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
249.24096875 |
| transcript.pyannote[89].end |
254.28659375 |
| transcript.pyannote[90].speaker |
SPEAKER_02 |
| transcript.pyannote[90].start |
254.38784375 |
| transcript.pyannote[90].end |
256.10909375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
256.48034375 |
| transcript.pyannote[91].end |
268.17471875 |
| transcript.pyannote[92].speaker |
SPEAKER_02 |
| transcript.pyannote[92].start |
267.61784375 |
| transcript.pyannote[92].end |
271.34721875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
269.15346875 |
| transcript.pyannote[93].end |
269.35596875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
270.52034375 |
| transcript.pyannote[94].end |
271.26284375 |
| transcript.pyannote[95].speaker |
SPEAKER_02 |
| transcript.pyannote[95].start |
271.65096875 |
| transcript.pyannote[95].end |
288.08721875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
275.48159375 |
| transcript.pyannote[96].end |
276.29159375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
288.28971875 |
| transcript.pyannote[97].end |
290.12909375 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
289.50471875 |
| transcript.pyannote[98].end |
292.06971875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
290.56784375 |
| transcript.pyannote[99].end |
296.81159375 |
| transcript.pyannote[100].speaker |
SPEAKER_02 |
| transcript.pyannote[100].start |
296.92971875 |
| transcript.pyannote[100].end |
298.21221875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
298.39784375 |
| transcript.pyannote[101].end |
303.86534375 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
299.73096875 |
| transcript.pyannote[102].end |
304.27034375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
304.05096875 |
| transcript.pyannote[103].end |
304.08471875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
304.11846875 |
| transcript.pyannote[104].end |
345.58034375 |
| transcript.pyannote[105].speaker |
SPEAKER_02 |
| transcript.pyannote[105].start |
304.60784375 |
| transcript.pyannote[105].end |
306.48096875 |
| transcript.pyannote[106].speaker |
SPEAKER_02 |
| transcript.pyannote[106].start |
323.03534375 |
| transcript.pyannote[106].end |
323.99721875 |
| transcript.pyannote[107].speaker |
SPEAKER_02 |
| transcript.pyannote[107].start |
324.48659375 |
| transcript.pyannote[107].end |
329.09346875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
340.43346875 |
| transcript.pyannote[108].end |
341.29409375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
346.22159375 |
| transcript.pyannote[109].end |
355.62096875 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
355.21596875 |
| transcript.pyannote[110].end |
364.42971875 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
364.73346875 |
| transcript.pyannote[111].end |
371.41596875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
371.55096875 |
| transcript.pyannote[112].end |
372.44534375 |
| transcript.pyannote[113].speaker |
SPEAKER_02 |
| transcript.pyannote[113].start |
371.63534375 |
| transcript.pyannote[113].end |
379.92096875 |
| transcript.pyannote[114].speaker |
SPEAKER_02 |
| transcript.pyannote[114].start |
380.07284375 |
| transcript.pyannote[114].end |
380.29221875 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
380.39346875 |
| transcript.pyannote[115].end |
382.50284375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
382.50284375 |
| transcript.pyannote[116].end |
398.63534375 |
| transcript.pyannote[117].speaker |
SPEAKER_02 |
| transcript.pyannote[117].start |
383.49846875 |
| transcript.pyannote[117].end |
383.88659375 |
| transcript.pyannote[118].speaker |
SPEAKER_02 |
| transcript.pyannote[118].start |
398.80409375 |
| transcript.pyannote[118].end |
401.01471875 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
399.17534375 |
| transcript.pyannote[119].end |
399.34409375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
400.60971875 |
| transcript.pyannote[120].end |
401.23409375 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
401.48721875 |
| transcript.pyannote[121].end |
404.32221875 |
| transcript.pyannote[122].speaker |
SPEAKER_02 |
| transcript.pyannote[122].start |
401.79096875 |
| transcript.pyannote[122].end |
401.97659375 |
| transcript.pyannote[123].speaker |
SPEAKER_02 |
| transcript.pyannote[123].start |
403.56284375 |
| transcript.pyannote[123].end |
404.60909375 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
404.94659375 |
| transcript.pyannote[124].end |
406.97159375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
406.17846875 |
| transcript.pyannote[125].end |
406.71846875 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
406.76909375 |
| transcript.pyannote[126].end |
406.80284375 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
406.81971875 |
| transcript.pyannote[127].end |
406.83659375 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
406.97159375 |
| transcript.pyannote[128].end |
414.48096875 |
| transcript.pyannote[129].speaker |
SPEAKER_02 |
| transcript.pyannote[129].start |
407.32596875 |
| transcript.pyannote[129].end |
408.27096875 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
414.86909375 |
| transcript.pyannote[130].end |
425.48346875 |
| transcript.pyannote[131].speaker |
SPEAKER_02 |
| transcript.pyannote[131].start |
423.08721875 |
| transcript.pyannote[131].end |
427.49159375 |
| transcript.pyannote[132].speaker |
SPEAKER_01 |
| transcript.pyannote[132].start |
427.49159375 |
| transcript.pyannote[132].end |
428.11596875 |
| transcript.pyannote[133].speaker |
SPEAKER_02 |
| transcript.pyannote[133].start |
427.77846875 |
| transcript.pyannote[133].end |
429.34784375 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
429.34784375 |
| transcript.pyannote[134].end |
430.02284375 |
| transcript.pyannote[135].speaker |
SPEAKER_01 |
| transcript.pyannote[135].start |
430.10721875 |
| transcript.pyannote[135].end |
441.97034375 |
| transcript.pyannote[136].speaker |
SPEAKER_02 |
| transcript.pyannote[136].start |
439.03409375 |
| transcript.pyannote[136].end |
446.56034375 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
447.99471875 |
| transcript.pyannote[137].end |
450.52596875 |
| transcript.pyannote[138].speaker |
SPEAKER_02 |
| transcript.pyannote[138].start |
450.76221875 |
| transcript.pyannote[138].end |
450.77909375 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
450.77909375 |
| transcript.pyannote[139].end |
452.19659375 |
| transcript.pyannote[140].speaker |
SPEAKER_02 |
| transcript.pyannote[140].start |
451.75784375 |
| transcript.pyannote[140].end |
456.66846875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
454.39034375 |
| transcript.pyannote[141].end |
456.16221875 |
| transcript.pyannote[142].speaker |
SPEAKER_02 |
| transcript.pyannote[142].start |
457.10721875 |
| transcript.pyannote[142].end |
458.06909375 |
| transcript.pyannote[143].speaker |
SPEAKER_02 |
| transcript.pyannote[143].start |
458.77784375 |
| transcript.pyannote[143].end |
463.03034375 |
| transcript.pyannote[144].speaker |
SPEAKER_02 |
| transcript.pyannote[144].start |
463.89096875 |
| transcript.pyannote[144].end |
469.52721875 |
| transcript.pyannote[145].speaker |
SPEAKER_02 |
| transcript.pyannote[145].start |
470.47221875 |
| transcript.pyannote[145].end |
471.50159375 |
| transcript.pyannote[146].speaker |
SPEAKER_02 |
| transcript.pyannote[146].start |
471.97409375 |
| transcript.pyannote[146].end |
472.98659375 |
| transcript.pyannote[147].speaker |
SPEAKER_02 |
| transcript.pyannote[147].start |
473.25659375 |
| transcript.pyannote[147].end |
473.91471875 |
| transcript.pyannote[148].speaker |
SPEAKER_02 |
| transcript.pyannote[148].start |
474.16784375 |
| transcript.pyannote[148].end |
475.01159375 |
| transcript.pyannote[149].speaker |
SPEAKER_02 |
| transcript.pyannote[149].start |
475.21409375 |
| transcript.pyannote[149].end |
478.06596875 |
| transcript.pyannote[150].speaker |
SPEAKER_02 |
| transcript.pyannote[150].start |
478.33596875 |
| transcript.pyannote[150].end |
478.79159375 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
480.46221875 |
| transcript.pyannote[151].end |
481.06971875 |
| transcript.pyannote[152].speaker |
SPEAKER_02 |
| transcript.pyannote[152].start |
481.59284375 |
| transcript.pyannote[152].end |
482.36909375 |
| transcript.pyannote[153].speaker |
SPEAKER_02 |
| transcript.pyannote[153].start |
483.60096875 |
| transcript.pyannote[153].end |
484.91721875 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
488.54534375 |
| transcript.pyannote[154].end |
490.65471875 |
| transcript.pyannote[155].speaker |
SPEAKER_02 |
| transcript.pyannote[155].start |
492.12284375 |
| transcript.pyannote[155].end |
494.38409375 |
| transcript.pyannote[156].speaker |
SPEAKER_02 |
| transcript.pyannote[156].start |
495.14346875 |
| transcript.pyannote[156].end |
498.73784375 |
| transcript.pyannote[157].speaker |
SPEAKER_02 |
| transcript.pyannote[157].start |
499.14284375 |
| transcript.pyannote[157].end |
501.03284375 |
| transcript.pyannote[158].speaker |
SPEAKER_02 |
| transcript.pyannote[158].start |
501.52221875 |
| transcript.pyannote[158].end |
509.20034375 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
503.10846875 |
| transcript.pyannote[159].end |
503.56409375 |
| transcript.pyannote[160].speaker |
SPEAKER_00 |
| transcript.pyannote[160].start |
504.79596875 |
| transcript.pyannote[160].end |
505.03221875 |
| transcript.pyannote[161].speaker |
SPEAKER_02 |
| transcript.pyannote[161].start |
509.28471875 |
| transcript.pyannote[161].end |
520.47284375 |
| transcript.pyannote[162].speaker |
SPEAKER_02 |
| transcript.pyannote[162].start |
520.72596875 |
| transcript.pyannote[162].end |
526.95284375 |
| transcript.pyannote[163].speaker |
SPEAKER_01 |
| transcript.pyannote[163].start |
526.80096875 |
| transcript.pyannote[163].end |
549.32909375 |
| transcript.pyannote[164].speaker |
SPEAKER_02 |
| transcript.pyannote[164].start |
527.05409375 |
| transcript.pyannote[164].end |
527.44221875 |
| transcript.pyannote[165].speaker |
SPEAKER_02 |
| transcript.pyannote[165].start |
532.36971875 |
| transcript.pyannote[165].end |
533.31471875 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
533.31471875 |
| transcript.pyannote[166].end |
533.33159375 |
| transcript.pyannote[167].speaker |
SPEAKER_02 |
| transcript.pyannote[167].start |
546.94971875 |
| transcript.pyannote[167].end |
550.62846875 |
| transcript.pyannote[168].speaker |
SPEAKER_02 |
| transcript.pyannote[168].start |
551.05034375 |
| transcript.pyannote[168].end |
551.67471875 |
| transcript.pyannote[169].speaker |
SPEAKER_01 |
| transcript.pyannote[169].start |
551.25284375 |
| transcript.pyannote[169].end |
551.42159375 |
| transcript.pyannote[170].speaker |
SPEAKER_02 |
| transcript.pyannote[170].start |
552.28221875 |
| transcript.pyannote[170].end |
553.59846875 |
| transcript.pyannote[171].speaker |
SPEAKER_02 |
| transcript.pyannote[171].start |
554.25659375 |
| transcript.pyannote[171].end |
556.97346875 |
| transcript.pyannote[172].speaker |
SPEAKER_02 |
| transcript.pyannote[172].start |
557.49659375 |
| transcript.pyannote[172].end |
559.47096875 |
| transcript.pyannote[173].speaker |
SPEAKER_02 |
| transcript.pyannote[173].start |
559.77471875 |
| transcript.pyannote[173].end |
562.44096875 |
| transcript.pyannote[174].speaker |
SPEAKER_02 |
| transcript.pyannote[174].start |
563.26784375 |
| transcript.pyannote[174].end |
563.60534375 |
| transcript.pyannote[175].speaker |
SPEAKER_01 |
| transcript.pyannote[175].start |
563.92596875 |
| transcript.pyannote[175].end |
567.09846875 |
| transcript.pyannote[176].speaker |
SPEAKER_02 |
| transcript.pyannote[176].start |
566.59221875 |
| transcript.pyannote[176].end |
566.96346875 |
| transcript.pyannote[177].speaker |
SPEAKER_02 |
| transcript.pyannote[177].start |
567.30096875 |
| transcript.pyannote[177].end |
569.41034375 |
| transcript.pyannote[178].speaker |
SPEAKER_01 |
| transcript.pyannote[178].start |
569.96721875 |
| transcript.pyannote[178].end |
571.35096875 |
| transcript.pyannote[179].speaker |
SPEAKER_02 |
| transcript.pyannote[179].start |
570.84471875 |
| transcript.pyannote[179].end |
572.11034375 |
| transcript.pyannote[180].speaker |
SPEAKER_02 |
| transcript.pyannote[180].start |
572.22846875 |
| transcript.pyannote[180].end |
573.29159375 |
| transcript.pyannote[181].speaker |
SPEAKER_02 |
| transcript.pyannote[181].start |
573.40971875 |
| transcript.pyannote[181].end |
575.83971875 |
| transcript.pyannote[182].speaker |
SPEAKER_02 |
| transcript.pyannote[182].start |
576.46409375 |
| transcript.pyannote[182].end |
578.91096875 |
| transcript.pyannote[183].speaker |
SPEAKER_01 |
| transcript.pyannote[183].start |
578.91096875 |
| transcript.pyannote[183].end |
580.12596875 |
| transcript.pyannote[184].speaker |
SPEAKER_02 |
| transcript.pyannote[184].start |
579.11346875 |
| transcript.pyannote[184].end |
579.41721875 |
| transcript.pyannote[185].speaker |
SPEAKER_01 |
| transcript.pyannote[185].start |
580.81784375 |
| transcript.pyannote[185].end |
582.50534375 |
| transcript.whisperx[0].start |
4.658 |
| transcript.whisperx[0].end |
31.682 |
| transcript.whisperx[0].text |
謝謝主席 一起各位先進 又請勞動部的洪部長請洪部長代言好 是 洪部長你好那麼關於今天談到大家要給老闆 勞保這個挹注每年要1000億以上你應該很高興的我們都要持續爭取啊 |
| transcript.whisperx[1].start |
32.967 |
| transcript.whisperx[1].end |
58.986 |
| transcript.whisperx[1].text |
都要持續爭取給你錢你當然這個眼睛閉起來就是可能說因為我要砍武漢林啊那不是嗎還是什麼我們都還在爭取啊不是我們現在我原本就提案說要最少給你一千億難道你還有點猶豫主要是我們現在其實金額都我們現在爭取都是超過一千億啦一千億太少這兩年其實都超過一千億啊 |
| transcript.whisperx[2].start |
61.567 |
| transcript.whisperx[2].end |
79.413 |
| transcript.whisperx[2].text |
我們都超過一千億啊所以我們希望爭取的金額是當然都是可能是要超過一千億啊所以你爭取多少今年明年的公務預算其實是一千兩百億然後再加上特別條例特別條例裡面一百億所以一年大概可以高達大概一千五差不多 |
| transcript.whisperx[3].start |
79.997 |
| transcript.whisperx[3].end |
107.902 |
| transcript.whisperx[3].text |
我們都希望能夠持續在爭取因為確實勞保的財務確實勞保的財務都需要大家的幫忙請教一個問題勞工退休那個字體的6%這部分是我看了一下勞工真的只有字體這個是政府鼓勵6%的部分是免稅的那這個比例很低大概16%不到那這個原因你要不要講原因到底是什麼 |
| transcript.whisperx[4].start |
108.851 |
| transcript.whisperx[4].end |
115.53 |
| transcript.whisperx[4].text |
各位說明其實我們在基金在運用的收益其實這20年平均起來都是大概6%以上 |
| transcript.whisperx[5].start |
116.977 |
| transcript.whisperx[5].end |
137.838 |
| transcript.whisperx[5].text |
那其實字體比例比較低 如果仔細去看的話 其實比較高收入的勞工他比例就蠻高的那低收入的勞工 薪資比較低收入的勞工 他比例就比較低那個東西就是很簡單的一句話就打死了就可以回答了嘛阿請這麼多沒搞 又爬冠你拿六爬出來 來我就問你一個問題 |
| transcript.whisperx[6].start |
142.272 |
| transcript.whisperx[6].end |
170.209 |
| transcript.whisperx[6].text |
一般的勞工退下來勞保加勞退一個月大概多少錢現在嗎現在但是因為現在勞保的勞保年金其實時間在還20年而已嘛不不不這可以大概你隨便Google一下都有這個數字大概多少勞保加勞退就等於是勞工退下來對他的生活的保障到底保障到哪裡大概兩萬多吧 |
| transcript.whisperx[7].start |
171.718 |
| transcript.whisperx[7].end |
188.905 |
| transcript.whisperx[7].text |
兩萬多啦 加起來大概兩萬四左右那你知道現在一般的生活會要多少錢當然你會說 你開什麼火啦但是我們就平均嘛平均我看一下平均要三萬 喔起跳 |
| transcript.whisperx[8].start |
190.273 |
| transcript.whisperx[8].end |
205.848 |
| transcript.whisperx[8].text |
所以對於就是說以現在的制度對於勞工的退下來的保障是不夠的這也就是為什麼6%來講的話一些收入比較低的根本就欠一家人不夠要拔光所以我剛剛講 |
| transcript.whisperx[9].start |
206.977 |
| transcript.whisperx[9].end |
234.614 |
| transcript.whisperx[9].text |
我們勞保加勞退就等於是我一個勞工他推下來的一個所得大概兩萬四左右 兩萬四 兩萬五目前啦 因為很多勞保的年資還沒有到那麼長所以目前的數字是這樣那生活費 以目前的生活費大概三萬二起跳所以這個很明顯就是有一個gap大概有八千塊左右啊你再加一個勞動等於勞工的大家長啊 |
| transcript.whisperx[10].start |
235.629 |
| transcript.whisperx[10].end |
255.722 |
| transcript.whisperx[10].text |
我們全台灣的勞工人數多少啊超過千萬差不多一千萬左右啦有人說九百多有人說一千萬你等於是一千萬勞工的大家長你要不要站在你的立場怎麼樣讓勞工退下來他的生活又暴漲 |
| transcript.whisperx[11].start |
256.562 |
| transcript.whisperx[11].end |
271.092 |
| transcript.whisperx[11].text |
跟文說明其實第一個我們當然很希望更大的程度的來鼓勵勞工的自體因為目前以基金的收益率6%的話其實等一下 你是講6% 不願意講8月31號公佈的勞退基金只有4.78還有比舊資的少 舊資的8.19還有融退基金6.33同樣一個Umbrella你們在操作的 |
| transcript.whisperx[12].start |
285.262 |
| transcript.whisperx[12].end |
299.191 |
| transcript.whisperx[12].text |
差賊 新制的勞退其實是不好的你是要6% 我看不到6%公佈到最新的9月底為止新制是7.697.69 就是勒就是是12.56對嘛 |
| transcript.whisperx[13].start |
300.652 |
| transcript.whisperx[13].end |
323.058 |
| transcript.whisperx[13].text |
那我補充說明一下為什麼都輸給救治啊為什麼薪資要輸給救治啊沒有沒有差一截大概幾個一半啦為什麼我們對於基金的操作是公平對待所有金管的基金然後我們追求的是長期投資的效益那所以我們來看長期投資的效益其實我們就我們薪資跟救治其實收益都差不多 |
| transcript.whisperx[14].start |
324.438 |
| transcript.whisperx[14].end |
329.702 |
| transcript.whisperx[14].text |
如果來看近10年救治7.92國保是7.69薪資也差不多這樣那如果15年其實反而救治是6.85國保是7.23薪資15年的話15年是 |
| transcript.whisperx[15].start |
346.495 |
| transcript.whisperx[15].end |
362.586 |
| transcript.whisperx[15].text |
等一下喔 15年是6.91也是比舊制好 但是大概都差不多因為我們長期的消費是 沒沒沒 你聽好 你剛講的矛盾喔我要講最新的 你講舊制12點多 新制呢7點多 差這個 |
| transcript.whisperx[16].start |
364.787 |
| transcript.whisperx[16].end |
378.982 |
| transcript.whisperx[16].text |
跟委員說明 因為這真的都要看比較看長期啦所以整體長期平均的話 大概都是6% 7%啦這樣子所以這個 我問部長啦 你有沒有什麼具體的做法或者政治的宣 政策上的宣 宣示 |
| transcript.whisperx[17].start |
380.844 |
| transcript.whisperx[17].end |
403.38 |
| transcript.whisperx[17].text |
讓勞工的自體的比例提高跟文說明第一個我們當然現在我們其實也在研議那要怎麼樣來讓勞工的自體提高因為這個6%的假設6%以上7%的收益率的確會可以對於勞工的退休生活是有幫助的那要不要把6%提高到8%只是其實我覺得都是可以考慮的因為這是免稅 |
| transcript.whisperx[18].start |
406.172 |
| transcript.whisperx[18].end |
429.095 |
| transcript.whisperx[18].text |
因為這個是免稅的部分我想我們都願意來跟其他部會來做討論但是第一個事情是的確我們看到比例提高重點是現在是確實比較低薪的勞工他自體的意願比較低我覺得我們要先克服這一段因為的確比較低薪的勞工他是更需要這件事情的那就是如何讓加薪嘛那你要怎麼提出 |
| transcript.whisperx[19].start |
430.516 |
| transcript.whisperx[19].end |
446.389 |
| transcript.whisperx[19].text |
除了加薪我們也希望能夠再提出更多的誘因比方說如果勞工願意自提的話我們可以給他什麼樣子再多的誘因的協助我們也希望朝這個方向來提你知不知道我們現在勞工的平均薪資多少 |
| transcript.whisperx[20].start |
448.069 |
| transcript.whisperx[20].end |
452.816 |
| transcript.whisperx[20].text |
目前如果老保的話大概3.63.6萬總出的主計長公佈了4萬8平均4萬8結果你們是中位數據有3萬6 |
| transcript.whisperx[21].start |
464.125 |
| transcript.whisperx[21].end |
490.085 |
| transcript.whisperx[21].text |
然後退下來就全部加起來阿布拉登加起來老退加老保兩萬四你雞派鬼啦老公退休的請問你一千萬個老公退休老公有多少有多少人每年嗎有沒有這個數字退休老公有多少人可能要看一下新舊制的差別 |
| transcript.whisperx[22].start |
492.165 |
| transcript.whisperx[22].end |
508.225 |
| transcript.whisperx[22].text |
我就是一個啦 你要想辦法你站在勞工的大家長的位置上想辦法大家是勞有所保啦 對不對這個老了退下來的我這個最少 |
| transcript.whisperx[23].start |
509.426 |
| transcript.whisperx[23].end |
526.617 |
| transcript.whisperx[23].text |
minimum的生活能夠維持嗎剛才講老退家老保只有兩萬四生活的基本要三萬二最低三萬二我還沒跟你講到三萬五對不對而且你平均薪資就是三萬六這個東西來講來講的話是差很多的啦 |
| transcript.whisperx[24].start |
526.837 |
| transcript.whisperx[24].end |
549.214 |
| transcript.whisperx[24].text |
跟我們說這也是為什麼我們連續10年調漲最低工資從原本最低工資2萬左右那現在已經接近到3萬那這也是其實都是希望對於相對比較辛苦的勞工朋友能夠從政府的角度來幫他們多幫忙的部分這是為什麼連續10年做最低工資調升的很重要的原因我就講說你要每年要1500億左右 |
| transcript.whisperx[25].start |
552.335 |
| transcript.whisperx[25].end |
568.903 |
| transcript.whisperx[25].text |
我希望你plus把6%再往上調去找財經部這個我在財委會裡面我們都可以支持對不對這6%我們要誘引提高到10%可以嗎我覺得我們來評估跟研議吧這個事情這個方向一個月可以出來嗎一個月兩個月好不好兩個月把6% |
| transcript.whisperx[26].start |
574.152 |
| transcript.whisperx[26].end |
577.881 |
| transcript.whisperx[26].text |
那個天花板再往上掀up to18好不好好謝謝賴世寶委員發言人 |