| IVOD_ID |
167341 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/167341 |
| 日期 |
2026-01-29 |
| 會議資料.會議代碼 |
委員會-11-4-26-22 |
| 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22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 |
22 |
| 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22次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-01-29T12:17:36+08:00 |
| 結束時間 |
2026-01-29T12:23:21+08:00 |
| 影片長度 |
00:05:45 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/58229044bac95a88f5640ff24f1e5adb52fd623850d83d5bb6e897797ecb76ba02a28a74111475595ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鄭天財Sra Kacaw |
| 委員發言時間 |
12:17:36 - 12:23:21 |
| 會議時間 |
2026-01-29T09:00:00+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22次全體委員會議（事由：邀請衛生福利部就「春節急診醫療人力調度與跨院協調機制之現況與精進作為」暨「假日及連續假期急重症分級醫療政策之執行成效與改進方向」進行專題報告，並備質詢。
討論事項
審查
一、 委員何欣純等17人擬具「國民年金法第五十四條之一及第五十五條條文修正草案」案。
二、 委員邱鎮軍等17人擬具「國民年金法第十五條及第五十四條之一條文修正草案」案。
三、 委員王美惠等18人擬具「國民年金法第五十四條之一條文修正草案」案。
四、 委員劉建國等16人擬具「國民年金法第五十四條之一條文修正草案」案。
五、 委員馬文君等20人擬具「國民年金法第五十四條之一條文修正草案」案。
六、 委員徐巧芯等18人擬具「國民年金法第五十四條之一條文修正草案」案。
七、 台灣民眾黨黨團擬具「國民年金法第五十四條之一條文修正草案」案。
八、 委員邱鎮軍等21人擬具「國民年金法第十五條及第五十條條文修正草案」案。
九、 委員陳俊宇等29人擬具「國民年金法第五十四條之一條文修正草案」案。
十、 台灣民眾黨黨團擬具「國民年金法第十五條及第五十條條文修正草案」案。
十一、 委員黃秀芳等21人擬具「國民年金法第五十四條之一條文修正草案」案。
十二、 委員羅廷瑋等16人擬具「國民年金法第五十四條之一條文修正草案」案。
十三、 民進黨黨團擬具「國民年金法部分條文修正草案」案。
十四、 委員蔡易餘等17人擬具「國民年金法部分條文修正草案」案。
十五、 委員吳思瑤等18人擬具「國民年金法部分條文修正草案」案。
十六、 委員郭國文等17人擬具「國民年金法第五十四條之一條文修正草案」案。
十七、 委員王美惠等22人擬具「國民年金法部分條文修正草案」案。
十八、 委員徐富癸等18人擬具「國民年金法第五十四條之一條文修正草案」案。
十九、 委員陳亭妃等16人擬具「國民年金法部分條文修正草案」案。
【專題報告與討論事項綜合詢答，討論事項僅詢答】） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
9.88596875 |
| transcript.pyannote[0].end |
11.96159375 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
12.63659375 |
| transcript.pyannote[1].end |
13.36221875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
16.50096875 |
| transcript.pyannote[2].end |
18.69471875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
19.26846875 |
| transcript.pyannote[3].end |
27.53721875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
22.30596875 |
| transcript.pyannote[4].end |
22.50846875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
27.09846875 |
| transcript.pyannote[5].end |
27.18284375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
27.75659375 |
| transcript.pyannote[6].end |
33.86534375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
30.43971875 |
| transcript.pyannote[7].end |
30.49034375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
30.52409375 |
| transcript.pyannote[8].end |
30.79409375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
35.06346875 |
| transcript.pyannote[9].end |
39.07971875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
39.31596875 |
| transcript.pyannote[10].end |
41.57721875 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
41.88096875 |
| transcript.pyannote[11].end |
43.68659375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
43.75409375 |
| transcript.pyannote[12].end |
46.47096875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
46.82534375 |
| transcript.pyannote[13].end |
48.02346875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
48.64784375 |
| transcript.pyannote[14].end |
49.17096875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
49.76159375 |
| transcript.pyannote[15].end |
52.42784375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
53.10284375 |
| transcript.pyannote[16].end |
56.20784375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
57.15284375 |
| transcript.pyannote[17].end |
64.59471875 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
66.63659375 |
| transcript.pyannote[18].end |
69.80909375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
70.87221875 |
| transcript.pyannote[19].end |
72.05346875 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
72.77909375 |
| transcript.pyannote[20].end |
76.94721875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
77.43659375 |
| transcript.pyannote[21].end |
78.90471875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
79.51221875 |
| transcript.pyannote[22].end |
81.73971875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
82.56659375 |
| transcript.pyannote[23].end |
88.86096875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
87.44346875 |
| transcript.pyannote[24].end |
87.56159375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
89.51909375 |
| transcript.pyannote[25].end |
93.97409375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
95.05409375 |
| transcript.pyannote[26].end |
105.83721875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
97.93971875 |
| transcript.pyannote[27].end |
98.02409375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
106.52909375 |
| transcript.pyannote[28].end |
115.65846875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
116.72159375 |
| transcript.pyannote[29].end |
119.32034375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
119.32034375 |
| transcript.pyannote[30].end |
119.80971875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
119.80971875 |
| transcript.pyannote[31].end |
121.07534375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
122.12159375 |
| transcript.pyannote[32].end |
123.87659375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
124.77096875 |
| transcript.pyannote[33].end |
126.07034375 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
126.59346875 |
| transcript.pyannote[34].end |
128.55096875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
130.32284375 |
| transcript.pyannote[35].end |
131.14971875 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
131.74034375 |
| transcript.pyannote[36].end |
133.22534375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
134.42346875 |
| transcript.pyannote[37].end |
135.60471875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
135.97596875 |
| transcript.pyannote[38].end |
136.34721875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
137.19096875 |
| transcript.pyannote[39].end |
137.41034375 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
138.03471875 |
| transcript.pyannote[40].end |
140.73471875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
141.84846875 |
| transcript.pyannote[41].end |
142.74284375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
143.08034375 |
| transcript.pyannote[42].end |
143.60346875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
143.87346875 |
| transcript.pyannote[43].end |
144.85221875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
145.22346875 |
| transcript.pyannote[44].end |
145.47659375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
146.18534375 |
| transcript.pyannote[45].end |
150.10034375 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
150.58971875 |
| transcript.pyannote[46].end |
151.85534375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
152.00721875 |
| transcript.pyannote[47].end |
152.12534375 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
153.05346875 |
| transcript.pyannote[48].end |
154.53846875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
155.56784375 |
| transcript.pyannote[49].end |
156.83346875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
157.42409375 |
| transcript.pyannote[50].end |
158.99346875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
159.55034375 |
| transcript.pyannote[51].end |
161.17034375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
159.76971875 |
| transcript.pyannote[52].end |
159.98909375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
161.38971875 |
| transcript.pyannote[53].end |
162.25034375 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
163.39784375 |
| transcript.pyannote[54].end |
164.02221875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
164.89971875 |
| transcript.pyannote[55].end |
167.36346875 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
167.85284375 |
| transcript.pyannote[56].end |
174.29909375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
174.97409375 |
| transcript.pyannote[57].end |
175.83471875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
175.86846875 |
| transcript.pyannote[58].end |
179.44596875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
180.40784375 |
| transcript.pyannote[59].end |
180.77909375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
181.23471875 |
| transcript.pyannote[60].end |
182.90534375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
183.39471875 |
| transcript.pyannote[61].end |
184.44096875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
184.94721875 |
| transcript.pyannote[62].end |
185.85846875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
186.58409375 |
| transcript.pyannote[63].end |
190.16159375 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
190.49909375 |
| transcript.pyannote[64].end |
192.89534375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
193.38471875 |
| transcript.pyannote[65].end |
195.19034375 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
195.57846875 |
| transcript.pyannote[66].end |
196.96221875 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
197.41784375 |
| transcript.pyannote[67].end |
213.55034375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
213.98909375 |
| transcript.pyannote[68].end |
217.33034375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
217.75221875 |
| transcript.pyannote[69].end |
219.97971875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
220.70534375 |
| transcript.pyannote[70].end |
221.97096875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
222.34221875 |
| transcript.pyannote[71].end |
223.10159375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
223.60784375 |
| transcript.pyannote[72].end |
225.53159375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
226.47659375 |
| transcript.pyannote[73].end |
232.24784375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
232.21409375 |
| transcript.pyannote[74].end |
232.23096875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
232.24784375 |
| transcript.pyannote[75].end |
232.82159375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
232.72034375 |
| transcript.pyannote[76].end |
236.02784375 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
236.02784375 |
| transcript.pyannote[77].end |
237.00659375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
237.00659375 |
| transcript.pyannote[78].end |
237.02346875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
237.02346875 |
| transcript.pyannote[79].end |
240.56721875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
240.78659375 |
| transcript.pyannote[80].end |
241.64721875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
241.84971875 |
| transcript.pyannote[81].end |
250.20284375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
250.25346875 |
| transcript.pyannote[82].end |
258.23534375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
258.28596875 |
| transcript.pyannote[83].end |
286.02846875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
286.50096875 |
| transcript.pyannote[84].end |
300.77721875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
300.77721875 |
| transcript.pyannote[85].end |
301.85721875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
302.44784375 |
| transcript.pyannote[86].end |
303.67971875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
305.41784375 |
| transcript.pyannote[87].end |
311.15534375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
311.74596875 |
| transcript.pyannote[88].end |
312.89346875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
312.13409375 |
| transcript.pyannote[89].end |
312.75846875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
312.89346875 |
| transcript.pyannote[90].end |
313.43346875 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
313.43346875 |
| transcript.pyannote[91].end |
320.85846875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
313.65284375 |
| transcript.pyannote[92].end |
314.09159375 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
314.49659375 |
| transcript.pyannote[93].end |
315.37409375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
317.11221875 |
| transcript.pyannote[94].end |
317.97284375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
318.78284375 |
| transcript.pyannote[95].end |
319.12034375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
319.37346875 |
| transcript.pyannote[96].end |
336.75471875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
324.62159375 |
| transcript.pyannote[97].end |
325.98846875 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
326.76471875 |
| transcript.pyannote[98].end |
326.95034375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
328.92471875 |
| transcript.pyannote[99].end |
328.99221875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
330.98346875 |
| transcript.pyannote[100].end |
332.35034375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
333.80159375 |
| transcript.pyannote[101].end |
334.84784375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
335.97846875 |
| transcript.pyannote[102].end |
336.65346875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
341.90159375 |
| transcript.pyannote[103].end |
345.78284375 |
| transcript.whisperx[0].start |
10.169 |
| transcript.whisperx[0].end |
33.185 |
| transcript.whisperx[0].text |
主席 各位委員 請部長 請時部長政委好 部長辛苦了今天談的國民年金法本席也有提案 禮拜五會附委到時候在逐條審查的時候我們再討論 希望也能夠支持 |
| transcript.whisperx[1].start |
35.114 |
| transcript.whisperx[1].end |
63.524 |
| transcript.whisperx[1].text |
那我們看這個國民現在另外講一個議題國民年金法53條原住民年滿55歲特別有這樣的一個規定因為有這個規定後來公務人員退休之前撫恤法原住民也可以降為55歲然後這個公立學校教職員退休之前撫恤條例原住民也可以降為55歲 |
| transcript.whisperx[2].start |
66.687 |
| transcript.whisperx[2].end |
93.103 |
| transcript.whisperx[2].text |
那現在就是問題出這個老人福利法仍然維持65歲原住民沒有降低為55歲那這個延伸的就很多的問題我們看這個衛福部在早期針對原住民的長者裝飾假牙也是55歲然後長照也是原住民也是55歲 |
| transcript.whisperx[3].start |
97.118 |
| transcript.whisperx[3].end |
120.527 |
| transcript.whisperx[3].text |
這個前任的部長現在政務委員當初在納入優先接種疫苗的時候演出名也是55歲相關的台南的老倫健保也是55歲新北的健保也是55歲尤其是這個敬老悠遊卡很多縣市都是55歲 |
| transcript.whisperx[4].start |
124.99 |
| transcript.whisperx[4].end |
150.08 |
| transcript.whisperx[4].text |
現在重點在哪裡呢 他們拿了這個敬老悠遊卡坐公車 他們的公司公車可以然後坐捷運可以結果去坐台鐵的七間車就不行了就產生這個 怎麼一國兩制同樣的一個台北台中市的七億 新北市的七億這樣的狀況 |
| transcript.whisperx[5].start |
153.5 |
| transcript.whisperx[5].end |
179.257 |
| transcript.whisperx[5].text |
就變成是這樣所以這個部分要怎麼樣能夠一致怎麼樣能夠一致事實上這個前任的院長蘇貞昌院長基於敬老以及嚴重於移民比較所以有降低那就一個標準現在是不同的標準他不必雙重標準 |
| transcript.whisperx[6].start |
181.8 |
| transcript.whisperx[6].end |
185.607 |
| transcript.whisperx[6].text |
蘇貞昌前院長他也認同本席的 |
| transcript.whisperx[7].start |
186.816 |
| transcript.whisperx[7].end |
213.131 |
| transcript.whisperx[7].text |
因為這個對一個老人家來講怎麼我坐公車可以坐捷運可以去坐火車就不行了因為常常那個那個七間車在同一個縣市的時候他坐七間車就不行鐵路的當然高鐵就是另外一個層面比較少會有這樣的一個狀況最主要就是鐵路的那個部分 |
| transcript.whisperx[8].start |
214.331 |
| transcript.whisperx[8].end |
239.182 |
| transcript.whisperx[8].text |
所以這個部分其實相關的支出也不會很多事實上怎麼樣能夠把它一致所以希望衛福部這邊也能夠檢討老人福利法那條條文能夠做修正跟委員說明就是說老人的定義 |
| transcript.whisperx[9].start |
242.403 |
| transcript.whisperx[9].end |
257.41 |
| transcript.whisperx[9].text |
國際上都有共同的定義啦就是這個年紀啦所以我們去調整齁這個老人的定義齁這個這個問題比較大不過呢在福利身份上應該要調整所以當時候因為就是考慮到 |
| transcript.whisperx[10].start |
258.45 |
| transcript.whisperx[10].end |
285.359 |
| transcript.whisperx[10].text |
原住民跟我們國人一般的愚民有大概10歲的落差所以才將各種的福利身份下降10歲所以從65到55但是隨著我們現在不斷地在努力改善這個差距也在縮短現在大概在8歲7點多這個年紀但是我們也沒有去調整它所以是不是要用用定義上把它完全 |
| transcript.whisperx[11].start |
286.619 |
| transcript.whisperx[11].end |
301.087 |
| transcript.whisperx[11].text |
固定下來還是說隨著福利身份上去調整我覺得我是比較favor後面的做法就是按照福利身份讓他不一樣可是老人的定義就是全世界大家都一樣這樣定我建議這個 |
| transcript.whisperx[12].start |
305.478 |
| transcript.whisperx[12].end |
334.497 |
| transcript.whisperx[12].text |
你們可以你們不修老人福利法但是你們可不可以去協調這個交通部好我們來協調交通部那個他鐵路的部分鐵路法就加一條就好了好我們來協調希望他參照我們的這個福利的標準參照其他的那個因為其他的福利的都是都是用55對好的好謝謝我們用年金的方式來對好謝謝好 |
| transcript.whisperx[13].start |
335.919 |
| transcript.whisperx[13].end |
345.095 |
| transcript.whisperx[13].text |
好 謝謝委員 謝謝謝謝鄭天才委員發言接下來請黃秀芳委員發言 |