| IVOD_ID |
161945 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161945 |
| 日期 |
2025-05-28 |
| 會議資料.會議代碼 |
委員會-11-3-19-15 |
| 會議資料.會議代碼:str |
第11屆第3會期經濟委員會第15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 |
15 |
| 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15次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-05-28T09:20:49+08:00 |
| 結束時間 |
2025-05-28T09:31:43+08:00 |
| 影片長度 |
00:10:54 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f2473df619869c153731b5ee1b3bf308d2ed7c4f69b4c130d77bd02ad7df8a93d275ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
邱議瑩 |
| 委員發言時間 |
09:20:49 - 09:31:43 |
| 會議時間 |
2025-05-28T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期經濟委員會第15次全體委員會議（事由：審查：
一、本院委員謝衣鳯等16人擬具「農民退休儲金條例第七條條文修正草案」案。
二、本院委員郭國文等17人擬具「農民退休儲金條例第七條條文修正草案」案。(詢答)） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
7.08471875 |
| transcript.pyannote[0].end |
7.45596875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
7.92846875 |
| transcript.pyannote[1].end |
9.21096875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
9.71721875 |
| transcript.pyannote[2].end |
11.57346875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
12.02909375 |
| transcript.pyannote[3].end |
12.53534375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
18.55971875 |
| transcript.pyannote[4].end |
18.82971875 |
| transcript.pyannote[5].speaker |
SPEAKER_02 |
| transcript.pyannote[5].start |
18.82971875 |
| transcript.pyannote[5].end |
18.93096875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
18.93096875 |
| transcript.pyannote[6].end |
18.98159375 |
| transcript.pyannote[7].speaker |
SPEAKER_02 |
| transcript.pyannote[7].start |
18.98159375 |
| transcript.pyannote[7].end |
19.01534375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
19.42034375 |
| transcript.pyannote[8].end |
23.90909375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
24.39846875 |
| transcript.pyannote[9].end |
27.46971875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
27.70596875 |
| transcript.pyannote[10].end |
31.09784375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
30.77721875 |
| transcript.pyannote[11].end |
36.49784375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
32.51534375 |
| transcript.pyannote[12].end |
35.55284375 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
36.24471875 |
| transcript.pyannote[13].end |
45.71159375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
37.84784375 |
| transcript.pyannote[14].end |
38.26971875 |
| transcript.pyannote[15].speaker |
SPEAKER_02 |
| transcript.pyannote[15].start |
38.26971875 |
| transcript.pyannote[15].end |
38.28659375 |
| transcript.pyannote[16].speaker |
SPEAKER_02 |
| transcript.pyannote[16].start |
45.71159375 |
| transcript.pyannote[16].end |
46.03221875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
46.03221875 |
| transcript.pyannote[17].end |
46.62284375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
46.99409375 |
| transcript.pyannote[18].end |
48.31034375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
48.46221875 |
| transcript.pyannote[19].end |
48.88409375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
49.25534375 |
| transcript.pyannote[20].end |
50.80784375 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
51.01034375 |
| transcript.pyannote[21].end |
64.22346875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
64.66221875 |
| transcript.pyannote[22].end |
67.75034375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
67.96971875 |
| transcript.pyannote[23].end |
70.55159375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
70.80471875 |
| transcript.pyannote[24].end |
71.78346875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
72.57659375 |
| transcript.pyannote[25].end |
80.30534375 |
| transcript.pyannote[26].speaker |
SPEAKER_02 |
| transcript.pyannote[26].start |
79.98471875 |
| transcript.pyannote[26].end |
80.33909375 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
81.58784375 |
| transcript.pyannote[27].end |
82.80284375 |
| transcript.pyannote[28].speaker |
SPEAKER_02 |
| transcript.pyannote[28].start |
81.97596875 |
| transcript.pyannote[28].end |
83.10659375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
83.10659375 |
| transcript.pyannote[29].end |
83.12346875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
83.20784375 |
| transcript.pyannote[30].end |
83.59596875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
83.81534375 |
| transcript.pyannote[31].end |
85.95846875 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
86.19471875 |
| transcript.pyannote[32].end |
88.10159375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
88.55721875 |
| transcript.pyannote[33].end |
89.87346875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
90.21096875 |
| transcript.pyannote[34].end |
92.45534375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
92.60721875 |
| transcript.pyannote[35].end |
95.08784375 |
| transcript.pyannote[36].speaker |
SPEAKER_02 |
| transcript.pyannote[36].start |
95.05409375 |
| transcript.pyannote[36].end |
95.44221875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
95.42534375 |
| transcript.pyannote[37].end |
97.26471875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
98.61471875 |
| transcript.pyannote[38].end |
107.94659375 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
108.06471875 |
| transcript.pyannote[39].end |
110.76471875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
111.10221875 |
| transcript.pyannote[40].end |
114.78096875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
115.43909375 |
| transcript.pyannote[41].end |
116.38409375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
117.09284375 |
| transcript.pyannote[42].end |
122.12159375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
122.37471875 |
| transcript.pyannote[43].end |
131.55471875 |
| transcript.pyannote[44].speaker |
SPEAKER_02 |
| transcript.pyannote[44].start |
131.53784375 |
| transcript.pyannote[44].end |
131.85846875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
131.82471875 |
| transcript.pyannote[45].end |
137.29221875 |
| transcript.pyannote[46].speaker |
SPEAKER_02 |
| transcript.pyannote[46].start |
137.29221875 |
| transcript.pyannote[46].end |
137.78159375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
137.35971875 |
| transcript.pyannote[47].end |
137.89971875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
138.10221875 |
| transcript.pyannote[48].end |
138.59159375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
139.45221875 |
| transcript.pyannote[49].end |
147.09659375 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
146.84346875 |
| transcript.pyannote[50].end |
147.28221875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
147.18096875 |
| transcript.pyannote[51].end |
148.42971875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
148.83471875 |
| transcript.pyannote[52].end |
200.64096875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
196.72596875 |
| transcript.pyannote[53].end |
197.58659375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
200.87721875 |
| transcript.pyannote[54].end |
205.63596875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
205.63596875 |
| transcript.pyannote[55].end |
208.43721875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
208.31909375 |
| transcript.pyannote[56].end |
208.72409375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
208.65659375 |
| transcript.pyannote[57].end |
209.65221875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
210.19221875 |
| transcript.pyannote[58].end |
211.15409375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
211.35659375 |
| transcript.pyannote[59].end |
212.21721875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
212.33534375 |
| transcript.pyannote[60].end |
214.14096875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
214.39409375 |
| transcript.pyannote[61].end |
216.46971875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
217.26284375 |
| transcript.pyannote[62].end |
218.46096875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
218.79846875 |
| transcript.pyannote[63].end |
220.18221875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
218.93346875 |
| transcript.pyannote[64].end |
219.42284375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
220.65471875 |
| transcript.pyannote[65].end |
221.04284375 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
220.72221875 |
| transcript.pyannote[66].end |
222.47721875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
222.30846875 |
| transcript.pyannote[67].end |
222.73034375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
223.79346875 |
| transcript.pyannote[68].end |
232.61909375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
233.44596875 |
| transcript.pyannote[69].end |
237.19221875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
237.79971875 |
| transcript.pyannote[70].end |
240.58409375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
241.07346875 |
| transcript.pyannote[71].end |
248.11034375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
246.28784375 |
| transcript.pyannote[72].end |
246.64221875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
249.00471875 |
| transcript.pyannote[73].end |
262.42034375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
252.48096875 |
| transcript.pyannote[74].end |
254.84346875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
260.26034375 |
| transcript.pyannote[75].end |
260.80034375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
262.69034375 |
| transcript.pyannote[76].end |
265.42409375 |
| transcript.pyannote[77].speaker |
SPEAKER_02 |
| transcript.pyannote[77].start |
264.51284375 |
| transcript.pyannote[77].end |
265.00221875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
265.67721875 |
| transcript.pyannote[78].end |
271.88721875 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
272.03909375 |
| transcript.pyannote[79].end |
275.80221875 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
275.34659375 |
| transcript.pyannote[80].end |
275.86971875 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
276.22409375 |
| transcript.pyannote[81].end |
276.54471875 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
276.81471875 |
| transcript.pyannote[82].end |
278.41784375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
279.09284375 |
| transcript.pyannote[83].end |
282.70409375 |
| transcript.pyannote[84].speaker |
SPEAKER_02 |
| transcript.pyannote[84].start |
282.70409375 |
| transcript.pyannote[84].end |
283.10909375 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
282.92346875 |
| transcript.pyannote[85].end |
285.10034375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
285.33659375 |
| transcript.pyannote[86].end |
287.71596875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
288.25596875 |
| transcript.pyannote[87].end |
291.32721875 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
291.31034375 |
| transcript.pyannote[88].end |
291.63096875 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
291.59721875 |
| transcript.pyannote[89].end |
296.22096875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
296.25471875 |
| transcript.pyannote[90].end |
296.27159375 |
| transcript.pyannote[91].speaker |
SPEAKER_02 |
| transcript.pyannote[91].start |
296.28846875 |
| transcript.pyannote[91].end |
296.65971875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
296.65971875 |
| transcript.pyannote[92].end |
298.61721875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
299.41034375 |
| transcript.pyannote[93].end |
304.10159375 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
304.08471875 |
| transcript.pyannote[94].end |
304.47284375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
304.52346875 |
| transcript.pyannote[95].end |
306.78471875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
307.03784375 |
| transcript.pyannote[96].end |
308.86034375 |
| transcript.pyannote[97].speaker |
SPEAKER_02 |
| transcript.pyannote[97].start |
308.50596875 |
| transcript.pyannote[97].end |
308.92784375 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
309.78846875 |
| transcript.pyannote[98].end |
316.31909375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
316.89284375 |
| transcript.pyannote[99].end |
323.37284375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
322.81596875 |
| transcript.pyannote[100].end |
336.83909375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
337.46346875 |
| transcript.pyannote[101].end |
378.08159375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
348.97221875 |
| transcript.pyannote[102].end |
349.02284375 |
| transcript.pyannote[103].speaker |
SPEAKER_02 |
| transcript.pyannote[103].start |
349.02284375 |
| transcript.pyannote[103].end |
349.37721875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
349.37721875 |
| transcript.pyannote[104].end |
349.44471875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
369.47534375 |
| transcript.pyannote[105].end |
369.50909375 |
| transcript.pyannote[106].speaker |
SPEAKER_02 |
| transcript.pyannote[106].start |
369.50909375 |
| transcript.pyannote[106].end |
369.93096875 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
376.86659375 |
| transcript.pyannote[107].end |
376.90034375 |
| transcript.pyannote[108].speaker |
SPEAKER_02 |
| transcript.pyannote[108].start |
376.90034375 |
| transcript.pyannote[108].end |
378.03096875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
378.03096875 |
| transcript.pyannote[109].end |
378.06471875 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
378.08159375 |
| transcript.pyannote[110].end |
378.50346875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
378.33471875 |
| transcript.pyannote[111].end |
399.07409375 |
| transcript.pyannote[112].speaker |
SPEAKER_02 |
| transcript.pyannote[112].start |
378.50346875 |
| transcript.pyannote[112].end |
378.53721875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
378.87471875 |
| transcript.pyannote[113].end |
379.38096875 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
398.92221875 |
| transcript.pyannote[114].end |
401.50409375 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
402.12846875 |
| transcript.pyannote[115].end |
425.26409375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
413.95784375 |
| transcript.pyannote[116].end |
414.49784375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
417.14721875 |
| transcript.pyannote[117].end |
417.73784375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
417.95721875 |
| transcript.pyannote[118].end |
418.58159375 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
426.02346875 |
| transcript.pyannote[119].end |
439.25346875 |
| transcript.pyannote[120].speaker |
SPEAKER_02 |
| transcript.pyannote[120].start |
431.33909375 |
| transcript.pyannote[120].end |
431.74409375 |
| transcript.pyannote[121].speaker |
SPEAKER_02 |
| transcript.pyannote[121].start |
438.07221875 |
| transcript.pyannote[121].end |
438.37596875 |
| transcript.pyannote[122].speaker |
SPEAKER_02 |
| transcript.pyannote[122].start |
438.96659375 |
| transcript.pyannote[122].end |
439.38846875 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
439.59096875 |
| transcript.pyannote[123].end |
456.44909375 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
444.41721875 |
| transcript.pyannote[124].end |
444.77159375 |
| transcript.pyannote[125].speaker |
SPEAKER_02 |
| transcript.pyannote[125].start |
446.56034375 |
| transcript.pyannote[125].end |
446.98221875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
446.98221875 |
| transcript.pyannote[126].end |
447.01596875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
450.28971875 |
| transcript.pyannote[127].end |
450.30659375 |
| transcript.pyannote[128].speaker |
SPEAKER_02 |
| transcript.pyannote[128].start |
450.30659375 |
| transcript.pyannote[128].end |
450.69471875 |
| transcript.pyannote[129].speaker |
SPEAKER_02 |
| transcript.pyannote[129].start |
456.26346875 |
| transcript.pyannote[129].end |
456.63471875 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
456.58409375 |
| transcript.pyannote[130].end |
467.82284375 |
| transcript.pyannote[131].speaker |
SPEAKER_02 |
| transcript.pyannote[131].start |
459.68909375 |
| transcript.pyannote[131].end |
459.94221875 |
| transcript.pyannote[132].speaker |
SPEAKER_02 |
| transcript.pyannote[132].start |
462.77721875 |
| transcript.pyannote[132].end |
463.23284375 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
468.04221875 |
| transcript.pyannote[133].end |
474.97784375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
469.25721875 |
| transcript.pyannote[134].end |
469.29096875 |
| transcript.pyannote[135].speaker |
SPEAKER_02 |
| transcript.pyannote[135].start |
469.29096875 |
| transcript.pyannote[135].end |
469.67909375 |
| transcript.pyannote[136].speaker |
SPEAKER_02 |
| transcript.pyannote[136].start |
474.97784375 |
| transcript.pyannote[136].end |
475.09596875 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
475.09596875 |
| transcript.pyannote[137].end |
479.70284375 |
| transcript.pyannote[138].speaker |
SPEAKER_02 |
| transcript.pyannote[138].start |
475.16346875 |
| transcript.pyannote[138].end |
475.18034375 |
| transcript.pyannote[139].speaker |
SPEAKER_02 |
| transcript.pyannote[139].start |
479.55096875 |
| transcript.pyannote[139].end |
479.80409375 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
479.80409375 |
| transcript.pyannote[140].end |
480.76596875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
480.85034375 |
| transcript.pyannote[141].end |
498.75471875 |
| transcript.pyannote[142].speaker |
SPEAKER_02 |
| transcript.pyannote[142].start |
485.03534375 |
| transcript.pyannote[142].end |
485.40659375 |
| transcript.pyannote[143].speaker |
SPEAKER_02 |
| transcript.pyannote[143].start |
488.54534375 |
| transcript.pyannote[143].end |
489.00096875 |
| transcript.pyannote[144].speaker |
SPEAKER_02 |
| transcript.pyannote[144].start |
492.27471875 |
| transcript.pyannote[144].end |
492.71346875 |
| transcript.pyannote[145].speaker |
SPEAKER_01 |
| transcript.pyannote[145].start |
498.78846875 |
| transcript.pyannote[145].end |
500.03721875 |
| transcript.pyannote[146].speaker |
SPEAKER_01 |
| transcript.pyannote[146].start |
500.05409375 |
| transcript.pyannote[146].end |
507.56346875 |
| transcript.pyannote[147].speaker |
SPEAKER_02 |
| transcript.pyannote[147].start |
507.56346875 |
| transcript.pyannote[147].end |
508.08659375 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
507.95159375 |
| transcript.pyannote[148].end |
512.32221875 |
| transcript.pyannote[149].speaker |
SPEAKER_02 |
| transcript.pyannote[149].start |
511.66409375 |
| transcript.pyannote[149].end |
512.15346875 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
512.59221875 |
| transcript.pyannote[150].end |
516.74346875 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
517.01346875 |
| transcript.pyannote[151].end |
517.03034375 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
517.04721875 |
| transcript.pyannote[152].end |
520.28721875 |
| transcript.pyannote[153].speaker |
SPEAKER_01 |
| transcript.pyannote[153].start |
520.52346875 |
| transcript.pyannote[153].end |
521.02971875 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
521.18159375 |
| transcript.pyannote[154].end |
522.54846875 |
| transcript.pyannote[155].speaker |
SPEAKER_01 |
| transcript.pyannote[155].start |
522.97034375 |
| transcript.pyannote[155].end |
524.21909375 |
| transcript.pyannote[156].speaker |
SPEAKER_01 |
| transcript.pyannote[156].start |
524.89409375 |
| transcript.pyannote[156].end |
525.56909375 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
526.34534375 |
| transcript.pyannote[157].end |
528.08346875 |
| transcript.pyannote[158].speaker |
SPEAKER_01 |
| transcript.pyannote[158].start |
526.86846875 |
| transcript.pyannote[158].end |
528.01596875 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
528.84284375 |
| transcript.pyannote[159].end |
559.01534375 |
| transcript.pyannote[160].speaker |
SPEAKER_01 |
| transcript.pyannote[160].start |
539.82846875 |
| transcript.pyannote[160].end |
542.19096875 |
| transcript.pyannote[161].speaker |
SPEAKER_01 |
| transcript.pyannote[161].start |
543.00096875 |
| transcript.pyannote[161].end |
543.55784375 |
| transcript.pyannote[162].speaker |
SPEAKER_02 |
| transcript.pyannote[162].start |
553.64909375 |
| transcript.pyannote[162].end |
553.66596875 |
| transcript.pyannote[163].speaker |
SPEAKER_01 |
| transcript.pyannote[163].start |
553.66596875 |
| transcript.pyannote[163].end |
554.08784375 |
| transcript.pyannote[164].speaker |
SPEAKER_01 |
| transcript.pyannote[164].start |
558.57659375 |
| transcript.pyannote[164].end |
563.60534375 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
560.75346875 |
| transcript.pyannote[165].end |
562.45784375 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
563.16659375 |
| transcript.pyannote[166].end |
564.58409375 |
| transcript.pyannote[167].speaker |
SPEAKER_01 |
| transcript.pyannote[167].start |
564.09471875 |
| transcript.pyannote[167].end |
568.90409375 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
568.29659375 |
| transcript.pyannote[168].end |
585.52596875 |
| transcript.pyannote[169].speaker |
SPEAKER_01 |
| transcript.pyannote[169].start |
576.34596875 |
| transcript.pyannote[169].end |
576.80159375 |
| transcript.pyannote[170].speaker |
SPEAKER_01 |
| transcript.pyannote[170].start |
578.45534375 |
| transcript.pyannote[170].end |
578.86034375 |
| transcript.pyannote[171].speaker |
SPEAKER_01 |
| transcript.pyannote[171].start |
579.83909375 |
| transcript.pyannote[171].end |
580.19346875 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
585.55971875 |
| transcript.pyannote[172].end |
585.64409375 |
| transcript.pyannote[173].speaker |
SPEAKER_01 |
| transcript.pyannote[173].start |
585.62721875 |
| transcript.pyannote[173].end |
602.19846875 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
585.67784375 |
| transcript.pyannote[174].end |
585.94784375 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
592.07346875 |
| transcript.pyannote[175].end |
592.52909375 |
| transcript.pyannote[176].speaker |
SPEAKER_00 |
| transcript.pyannote[176].start |
592.63034375 |
| transcript.pyannote[176].end |
593.62596875 |
| transcript.pyannote[177].speaker |
SPEAKER_02 |
| transcript.pyannote[177].start |
601.47284375 |
| transcript.pyannote[177].end |
601.92846875 |
| transcript.pyannote[178].speaker |
SPEAKER_00 |
| transcript.pyannote[178].start |
601.92846875 |
| transcript.pyannote[178].end |
601.96221875 |
| transcript.pyannote[179].speaker |
SPEAKER_01 |
| transcript.pyannote[179].start |
602.60346875 |
| transcript.pyannote[179].end |
608.96534375 |
| transcript.pyannote[180].speaker |
SPEAKER_00 |
| transcript.pyannote[180].start |
606.73784375 |
| transcript.pyannote[180].end |
624.32159375 |
| transcript.pyannote[181].speaker |
SPEAKER_01 |
| transcript.pyannote[181].start |
619.42784375 |
| transcript.pyannote[181].end |
619.52909375 |
| transcript.pyannote[182].speaker |
SPEAKER_01 |
| transcript.pyannote[182].start |
621.62159375 |
| transcript.pyannote[182].end |
621.90846875 |
| transcript.pyannote[183].speaker |
SPEAKER_01 |
| transcript.pyannote[183].start |
623.34284375 |
| transcript.pyannote[183].end |
625.90784375 |
| transcript.pyannote[184].speaker |
SPEAKER_00 |
| transcript.pyannote[184].start |
625.62096875 |
| transcript.pyannote[184].end |
626.02596875 |
| transcript.pyannote[185].speaker |
SPEAKER_01 |
| transcript.pyannote[185].start |
626.12721875 |
| transcript.pyannote[185].end |
635.37471875 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
633.28221875 |
| transcript.pyannote[186].end |
633.72096875 |
| transcript.pyannote[187].speaker |
SPEAKER_00 |
| transcript.pyannote[187].start |
635.37471875 |
| transcript.pyannote[187].end |
635.74596875 |
| transcript.pyannote[188].speaker |
SPEAKER_01 |
| transcript.pyannote[188].start |
636.31971875 |
| transcript.pyannote[188].end |
650.79846875 |
| transcript.pyannote[189].speaker |
SPEAKER_00 |
| transcript.pyannote[189].start |
639.71159375 |
| transcript.pyannote[189].end |
643.39034375 |
| transcript.pyannote[190].speaker |
SPEAKER_00 |
| transcript.pyannote[190].start |
644.62221875 |
| transcript.pyannote[190].end |
645.09471875 |
| transcript.pyannote[191].speaker |
SPEAKER_00 |
| transcript.pyannote[191].start |
645.78659375 |
| transcript.pyannote[191].end |
646.27596875 |
| transcript.pyannote[192].speaker |
SPEAKER_00 |
| transcript.pyannote[192].start |
647.84534375 |
| transcript.pyannote[192].end |
649.21221875 |
| transcript.pyannote[193].speaker |
SPEAKER_00 |
| transcript.pyannote[193].start |
650.02221875 |
| transcript.pyannote[193].end |
652.68846875 |
| transcript.pyannote[194].speaker |
SPEAKER_01 |
| transcript.pyannote[194].start |
651.86159375 |
| transcript.pyannote[194].end |
652.60409375 |
| transcript.pyannote[195].speaker |
SPEAKER_01 |
| transcript.pyannote[195].start |
654.15659375 |
| transcript.pyannote[195].end |
655.08471875 |
| transcript.whisperx[0].start |
8.672 |
| transcript.whisperx[0].end |
11.396 |
| transcript.whisperx[0].text |
謝謝主席我是不是請一下陳部長陳部長委員長 |
| transcript.whisperx[1].start |
19.614 |
| transcript.whisperx[1].end |
46.355 |
| transcript.whisperx[1].text |
部長早部長我想這個農民退休儲金的這個條例從我們在立法院審查到現在開始辦實施應該差不多五年的時間我們110年1月以後大概將近四年到現在差不多五年的時間那在這五年裡頭其實每一個委員一直不斷的在跟農業部提出就是投保的人數比例 |
| transcript.whisperx[2].start |
47.082 |
| transcript.whisperx[2].end |
70.101 |
| transcript.whisperx[2].text |
如何增加那剛剛我想剛剛部長您的報告裡頭其實有非常清楚這個我大概把你們過去送過來的這個比例其實我們一直在講青農20到29歲的投保比例提交率是很低的那不管是在青農或者是其他的年齡階層 |
| transcript.whisperx[3].start |
72.843 |
| transcript.whisperx[3].end |
94.738 |
| transcript.whisperx[3].text |
依照你們現在送上來我剛剛看到的一份資料大概也都是在三成多不到四成嘛您剛講誘因不足所以現在有委員提出來要把這個提撥的比例把它用1比本來我們是1比1嘛相對提撥那委員提出來是要1比1.5您覺得這樣的誘因 |
| transcript.whisperx[4].start |
98.683 |
| transcript.whisperx[4].end |
114.573 |
| transcript.whisperx[4].text |
足夠嗎這個誘因是農民要的嗎還是說就你們現在應該有去統整或者是說有去做過做過一些填調有做過一些調查到底農民為什麼不願意去參加除菌制度 |
| transcript.whisperx[5].start |
115.492 |
| transcript.whisperx[5].end |
138.257 |
| transcript.whisperx[5].text |
理由是什麼那你要做一些什麼東西是讓他會願意去參加的你們有沒有做過這樣的調查有的非常謝謝委員那我在這邊也跟委員說明就是現在委員的版本就是從原來的1比1提高到1比1.5那提高了以後相對的他的天花板是打開的就是他總而會增加那他 |
| transcript.whisperx[6].start |
139.725 |
| transcript.whisperx[6].end |
160.859 |
| transcript.whisperx[6].text |
這個法案如果通過的話是針對已經投保的人他有退休金有更好的金額的保障可是對於還沒有參加投保的還沒有參加農民退休儲金的人他其實剛才也說了他們本身第一個就是他們的儲蓄能力第二個就是他們的意願的部分 |
| transcript.whisperx[7].start |
161.579 |
| transcript.whisperx[7].end |
188.053 |
| transcript.whisperx[7].text |
那因為退休儲券是65歲以後才能領特別是針對這些年輕人他可能是30年後以後才能領所以在這個年輕人的時代裡面他們的工作的收入不是那麼穩定的時候事實上就算你天花板拉得再高他們還是不願意就是還在觀望這個其實我們也透過很多專程會了解所以農民希望的是是不是能夠減少他的負擔 |
| transcript.whisperx[8].start |
188.993 |
| transcript.whisperx[8].end |
215.904 |
| transcript.whisperx[8].text |
就是他提繳的時候的一個負擔如果說我們原來舉個例子100塊對100塊的時候那總而是200塊不變的情況之下是不是能夠讓他們少繳一點那牽涉到這樣的一個少繳的時候其實也是一個方法這是第一個所以你剛剛講的比如說我們過去是1比1嘛是100對100那如果我現在如果依照您剛剛的談話如果這個想法變成說未來 |
| transcript.whisperx[9].start |
217.481 |
| transcript.whisperx[9].end |
232.266 |
| transcript.whisperx[9].text |
農民繳80你們繳120他總數還是200你覺得這個會增加農民的誘因嗎或者是說其實部長您看一下我這邊大概也有提了一個不同的意見的看法比如說 |
| transcript.whisperx[10].start |
234.017 |
| transcript.whisperx[10].end |
247.871 |
| transcript.whisperx[10].text |
我用階梯式的去增加我的撥補他繳了5年的跟繳了10年的我鼓勵他你繳越久我的撥補比例增加比例其實是越大 |
| transcript.whisperx[11].start |
249.639 |
| transcript.whisperx[11].end |
278.105 |
| transcript.whisperx[11].text |
這是兩個不太一樣的概念啦但是其實也是提供它精神是一樣的精神是一樣的提供它有一些不同的參考基準嘛您講的是說農民可以不要出那麼多錢我一樣的是兩百塊但是我現在農民只需要繳八十塊你們改成一百二那我提的這個想法是說你只要連續五年或者是連續十年我的撥補比例是在增加的政府的撥補比例是在增加的那我覺得就是說 |
| transcript.whisperx[12].start |
279.145 |
| transcript.whisperx[12].end |
297.617 |
| transcript.whisperx[12].text |
我們一直在講青農的投保比例過低其實我最近有發現到一個問題就是說青農在他20歲的這個階段他的人生還有很多不同的變化不同的思考所以很多的青農他甚至會想說他是不是要一輩子從農他現在就去繳這個農保 |
| transcript.whisperx[13].start |
299.752 |
| transcript.whisperx[13].end |
308.747 |
| transcript.whisperx[13].text |
農保的退休儲金很多時候他可能五年三年以後他不想做了所以造成他不願意去加入這個退休儲金制度 |
| transcript.whisperx[14].start |
309.984 |
| transcript.whisperx[14].end |
336.418 |
| transcript.whisperx[14].text |
會不會有這樣的狀態那面對這樣的狀態的時候你們又應該提出什麼樣的相應對策來鼓勵或者是來提高年輕人從農的意願跟提高他們參加農民退休儲金制度的意願我想謝謝委員剛才委員所提到的這些誘因其實跟我們的考慮的想法是一致的就是委員有提到是每隔一段時間去提高政府的撥補那我剛才也講了就是說 |
| transcript.whisperx[15].start |
338.719 |
| transcript.whisperx[15].end |
358.621 |
| transcript.whisperx[15].text |
100塊對100塊是不變的但是農民的提繳的金額是可以因為你實際從農的時間拉長了以後你的提繳金額是變少但是保障不變保障不變那這個部分其實我們可以再去做一個詳細的設計跟規劃那第二個部分您剛才也說了我們從現在的投保來講 |
| transcript.whisperx[16].start |
359.862 |
| transcript.whisperx[16].end |
377.807 |
| transcript.whisperx[16].text |
參加來講年輕族群就是大概30歲以下的到35歲這些相對的參加農民退休時間的比例是比較低的那也誠如您說的就是他們的不確定性從農的不確定性還在那邊就是做了解跟決定 |
| transcript.whisperx[17].start |
378.667 |
| transcript.whisperx[17].end |
400.647 |
| transcript.whisperx[17].text |
對思考所以其實我們主力的大概35歲到45歲這段時間其實我們如果能夠減輕他的負擔的話是會有一些誘因的這個我們在歷次的青龍座談會他們也提到用比較好的一個減少他們的負擔的情況之下讓他們願意來參加這樣的一個保險其實部長我在想就是說 |
| transcript.whisperx[18].start |
402.468 |
| transcript.whisperx[18].end |
423.975 |
| transcript.whisperx[18].text |
1比1.5這個所謂的相對用1.5倍去提高是不是真的能夠增加他們去投保的誘因這個的確是需要各方面的考量跟各方面的做過各式各樣的調查我們姑且這樣認為就是說我現在把你從1比1的相對提撥率提高到1比1.5 |
| transcript.whisperx[19].start |
426.076 |
| transcript.whisperx[19].end |
446.485 |
| transcript.whisperx[19].text |
同等來講 勞保制度勞保的提撥是不是也要做一些調整否則這一個國家的制度就會大亂但是對於農民因為他的收入本來就比較少而且是不固定的如何增加他願意持續從農增加他在年老的時候有一筆所謂的退休金 |
| transcript.whisperx[20].start |
447.065 |
| transcript.whisperx[20].end |
474.45 |
| transcript.whisperx[20].text |
那這個誘因要怎麼增加要怎麼鼓勵現在我們要鼓勵年輕人或者是中壯年回到農村裡頭去參與農事的耕作我覺得這個有很多的設計有很多的制度配套其實是需要更前瞻更全方位的去看這個我想也有賴這個農業部可能要多做一些田野調查我覺得你們應該是要下鄉去讓跟更多的農民座談不只是青農 |
| transcript.whisperx[21].start |
475.47 |
| transcript.whisperx[21].end |
492.404 |
| transcript.whisperx[21].text |
中壯年他有的可能是他過去在工會在參加勞保後來他回到農村現在我們農村很多這種五十幾歲六十歲的中壯年直接投入農業的工作那在保險制度上面其實也沒有辦法符合他們的需求 |
| transcript.whisperx[22].start |
493.004 |
| transcript.whisperx[22].end |
505.718 |
| transcript.whisperx[22].text |
我覺得這一塊也是未來農業部在做相關的保險制度改革的時候一個很重要的依據那部長因為我時間剩下一點點我想要簡短的再問一下老農津貼的這個排富門檻已經14年沒有調了 |
| transcript.whisperx[23].start |
508.161 |
| transcript.whisperx[23].end |
522.996 |
| transcript.whisperx[23].text |
大家都一直在講那我在上一屆其實也有提過相關的修法我不知道農業部現在的態度是怎麼樣就是你們對於這件事情有沒有一個想法你認為該不該調整那如果該調整的話農業部的規劃是怎麼樣我跟委員報告就是 |
| transcript.whisperx[24].start |
529.099 |
| transcript.whisperx[24].end |
542.227 |
| transcript.whisperx[24].text |
那個農農軍隊的排布條款以農業部的立場來講我們是支持這些排布條款做適度的修正因為包括我們的房屋的價值的所還有土地的價值房屋的價值等等隨著時間的一個調整 |
| transcript.whisperx[25].start |
544.888 |
| transcript.whisperx[25].end |
571.222 |
| transcript.whisperx[25].text |
所以我們在我們的方案附案裡面其實我們有針對排富條款本身的所得的部分從50萬可以適度的提高然後至於說財產的部分從500萬也可以適度的提高所以這些東西都已經在你們的修正規劃裡面那什麼時候會送到行政院或者什麼時候會跟行政院來做討論我想我們已經有安排行政院的做專案報告 |
| transcript.whisperx[26].start |
572.443 |
| transcript.whisperx[26].end |
600.162 |
| transcript.whisperx[26].text |
那做專案報告我剛才說的農業部的立場是支持這樣的一個調整那包括CPI4年的時候怎麼樣去做一個階段性的調整這個都有一個完整的配套方案那有待於就是行政院做最後的決定部長有沒有可能我們在下個會期的時候可以有一些你們行政院的版本農業部的版本可以送到院裡面來做討論甚至跟委員的案子來併案做討論那如果可以的話我覺得老農今天排付條款這個已經14年沒有調整 |
| transcript.whisperx[27].start |
602.763 |
| transcript.whisperx[27].end |
625.403 |
| transcript.whisperx[27].text |
其實它是一個非常迫切需要改變的一個法案是 我們期待會這樣子啦因為行政院現在一直希望說八大政府的一個條例來同步考量但我們也希望說因為農業是比較特殊的是不是可以單獨先行啦這個我想我們會努力的去跟行政院做這樣的調查那我就給你一點壓力啦 |
| transcript.whisperx[28].start |
626.264 |
| transcript.whisperx[28].end |
651.688 |
| transcript.whisperx[28].text |
否則我覺得這個我們長期因為執政黨的委員齁都是溫良恭儉讓齁我還是要給您一點壓力啦我期待下個會期那個農業部的版本就能夠送到院裡面來跟我們的版本定案來討論我們希望能夠在今年年底以前把老農津貼排布的這件事情把它做一個修訂完成讓他做一些調整好嗎好這是我想也是我們的目標好謝謝好謝謝 |