| IVOD_ID |
162036 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162036 |
| 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 |
2025-05-28T12:21:42+08:00 |
| 結束時間 |
2025-05-28T12:27:12+08:00 |
| 影片長度 |
00:05:30 |
| 支援功能[0] |
ai-transcript |
| 支援功能[1] |
gazette |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f24c6036dbfb488bc551b5ee1b3bf308d2ea3426710e0a50eed1a06a885b33e9f7b5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
林俊憲 |
| 委員發言時間 |
12:21:42 - 12:27:12 |
| 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_00 |
| transcript.pyannote[0].start |
5.80221875 |
| transcript.pyannote[0].end |
6.89909375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
7.35471875 |
| transcript.pyannote[1].end |
9.32909375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
10.66221875 |
| transcript.pyannote[2].end |
10.67909375 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
10.67909375 |
| transcript.pyannote[3].end |
10.84784375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
10.84784375 |
| transcript.pyannote[4].end |
11.15159375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
15.10034375 |
| transcript.pyannote[5].end |
16.88909375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
17.49659375 |
| transcript.pyannote[6].end |
19.45409375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
20.33159375 |
| transcript.pyannote[7].end |
26.06909375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
21.61409375 |
| transcript.pyannote[8].end |
22.40721875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
26.35596875 |
| transcript.pyannote[9].end |
29.54534375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
29.64659375 |
| transcript.pyannote[10].end |
29.74784375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
29.74784375 |
| transcript.pyannote[11].end |
29.76471875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
29.76471875 |
| transcript.pyannote[12].end |
29.81534375 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
29.81534375 |
| transcript.pyannote[13].end |
32.05971875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
32.05971875 |
| transcript.pyannote[14].end |
32.29596875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
32.29596875 |
| transcript.pyannote[15].end |
32.53221875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
32.53221875 |
| transcript.pyannote[16].end |
32.71784375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
32.71784375 |
| transcript.pyannote[17].end |
33.67971875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
32.76846875 |
| transcript.pyannote[18].end |
33.51096875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
33.67971875 |
| transcript.pyannote[19].end |
33.79784375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
33.79784375 |
| transcript.pyannote[20].end |
33.81471875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
33.81471875 |
| transcript.pyannote[21].end |
34.70909375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
35.21534375 |
| transcript.pyannote[22].end |
36.10971875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
36.81846875 |
| transcript.pyannote[23].end |
41.13846875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
41.39159375 |
| transcript.pyannote[24].end |
41.74596875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
42.53909375 |
| transcript.pyannote[25].end |
43.34909375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
44.34471875 |
| transcript.pyannote[26].end |
51.73596875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
46.25159375 |
| transcript.pyannote[27].end |
46.94346875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
51.06096875 |
| transcript.pyannote[28].end |
51.49971875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
52.39409375 |
| transcript.pyannote[29].end |
60.59534375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
57.25409375 |
| transcript.pyannote[30].end |
57.86159375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
60.84846875 |
| transcript.pyannote[31].end |
65.97846875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
66.28221875 |
| transcript.pyannote[32].end |
69.62346875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
66.55221875 |
| transcript.pyannote[33].end |
66.78846875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
68.45909375 |
| transcript.pyannote[34].end |
69.16784375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
70.19721875 |
| transcript.pyannote[35].end |
72.84659375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
73.36971875 |
| transcript.pyannote[36].end |
74.19659375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
74.36534375 |
| transcript.pyannote[37].end |
83.61284375 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
79.81596875 |
| transcript.pyannote[38].end |
79.84971875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
82.90409375 |
| transcript.pyannote[39].end |
83.52846875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
83.95034375 |
| transcript.pyannote[40].end |
92.10096875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
92.57346875 |
| transcript.pyannote[41].end |
93.72096875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
93.72096875 |
| transcript.pyannote[42].end |
94.37909375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
96.33659375 |
| transcript.pyannote[43].end |
96.35346875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
96.35346875 |
| transcript.pyannote[44].end |
100.43721875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
98.54721875 |
| transcript.pyannote[45].end |
99.61034375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
99.96471875 |
| transcript.pyannote[46].end |
103.00221875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
103.00221875 |
| transcript.pyannote[47].end |
103.03596875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
103.03596875 |
| transcript.pyannote[48].end |
103.74471875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
104.77409375 |
| transcript.pyannote[49].end |
111.10221875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
108.57096875 |
| transcript.pyannote[50].end |
108.99284375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
111.84471875 |
| transcript.pyannote[51].end |
113.80221875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
114.13971875 |
| transcript.pyannote[52].end |
114.91596875 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
115.62471875 |
| transcript.pyannote[53].end |
117.90284375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
118.44284375 |
| transcript.pyannote[54].end |
119.69159375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
120.18096875 |
| transcript.pyannote[55].end |
120.53534375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
121.09221875 |
| transcript.pyannote[56].end |
122.42534375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
123.18471875 |
| transcript.pyannote[57].end |
124.26471875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
124.88909375 |
| transcript.pyannote[58].end |
125.86784375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
126.47534375 |
| transcript.pyannote[59].end |
129.07409375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
129.42846875 |
| transcript.pyannote[60].end |
130.74471875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
131.43659375 |
| transcript.pyannote[61].end |
132.48284375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
133.09034375 |
| transcript.pyannote[62].end |
134.64284375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
135.62159375 |
| transcript.pyannote[63].end |
137.15721875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
137.95034375 |
| transcript.pyannote[64].end |
140.54909375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
138.00096875 |
| transcript.pyannote[65].end |
138.89534375 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
140.88659375 |
| transcript.pyannote[66].end |
149.89784375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
149.88096875 |
| transcript.pyannote[67].end |
150.16784375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
150.10034375 |
| transcript.pyannote[68].end |
153.66096875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
152.78346875 |
| transcript.pyannote[69].end |
154.18409375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
154.09971875 |
| transcript.pyannote[70].end |
160.98471875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
157.89659375 |
| transcript.pyannote[71].end |
158.35221875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
160.98471875 |
| transcript.pyannote[72].end |
161.38971875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
161.38971875 |
| transcript.pyannote[73].end |
166.08096875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
166.14846875 |
| transcript.pyannote[74].end |
173.05034375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
166.50284375 |
| transcript.pyannote[75].end |
166.58721875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
173.48909375 |
| transcript.pyannote[76].end |
174.99096875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
175.12596875 |
| transcript.pyannote[77].end |
178.66971875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
177.45471875 |
| transcript.pyannote[78].end |
178.63596875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
179.51346875 |
| transcript.pyannote[79].end |
181.42034375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
182.01096875 |
| transcript.pyannote[80].end |
182.28096875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
182.66909375 |
| transcript.pyannote[81].end |
184.94721875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
185.04846875 |
| transcript.pyannote[82].end |
185.70659375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
185.94284375 |
| transcript.pyannote[83].end |
190.88721875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
189.33471875 |
| transcript.pyannote[84].end |
189.63846875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
191.20784375 |
| transcript.pyannote[85].end |
194.11034375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
192.40596875 |
| transcript.pyannote[86].end |
192.84471875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
192.89534375 |
| transcript.pyannote[87].end |
193.28346875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
194.29596875 |
| transcript.pyannote[88].end |
196.35471875 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
194.56596875 |
| transcript.pyannote[89].end |
194.59971875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
197.09721875 |
| transcript.pyannote[90].end |
200.47221875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
201.07971875 |
| transcript.pyannote[91].end |
204.70784375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
205.18034375 |
| transcript.pyannote[92].end |
206.47971875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
206.76659375 |
| transcript.pyannote[93].end |
207.99846875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
208.43721875 |
| transcript.pyannote[94].end |
226.32471875 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
211.03596875 |
| transcript.pyannote[95].end |
212.14971875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
214.76534375 |
| transcript.pyannote[96].end |
214.83284375 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
217.71846875 |
| transcript.pyannote[97].end |
218.37659375 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
219.05159375 |
| transcript.pyannote[98].end |
219.18659375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
226.96596875 |
| transcript.pyannote[99].end |
230.03721875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
230.45909375 |
| transcript.pyannote[100].end |
230.96534375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
230.96534375 |
| transcript.pyannote[101].end |
235.84221875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
234.71159375 |
| transcript.pyannote[102].end |
235.03221875 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
236.19659375 |
| transcript.pyannote[103].end |
239.06534375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
239.65596875 |
| transcript.pyannote[104].end |
244.34721875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
244.44846875 |
| transcript.pyannote[105].end |
252.64971875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
249.51096875 |
| transcript.pyannote[106].end |
249.67971875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
249.84846875 |
| transcript.pyannote[107].end |
249.88221875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
252.90284375 |
| transcript.pyannote[108].end |
266.01471875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
265.10346875 |
| transcript.pyannote[109].end |
288.00284375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
268.78221875 |
| transcript.pyannote[110].end |
269.15346875 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
270.68909375 |
| transcript.pyannote[111].end |
271.97159375 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
272.05596875 |
| transcript.pyannote[112].end |
272.79846875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
273.20346875 |
| transcript.pyannote[113].end |
273.32159375 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
274.01346875 |
| transcript.pyannote[114].end |
274.72221875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
288.03659375 |
| transcript.pyannote[115].end |
292.66034375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
291.58034375 |
| transcript.pyannote[116].end |
292.17096875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
292.93034375 |
| transcript.pyannote[117].end |
297.50346875 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
295.90034375 |
| transcript.pyannote[118].end |
297.87471875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
298.12784375 |
| transcript.pyannote[119].end |
305.31659375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
305.31659375 |
| transcript.pyannote[120].end |
309.65346875 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
309.90659375 |
| transcript.pyannote[121].end |
319.08659375 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
319.17096875 |
| transcript.pyannote[122].end |
322.69784375 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
322.90034375 |
| transcript.pyannote[123].end |
323.89596875 |
| transcript.pyannote[124].speaker |
SPEAKER_01 |
| transcript.pyannote[124].start |
324.01409375 |
| transcript.pyannote[124].end |
324.43596875 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
324.62159375 |
| transcript.pyannote[125].end |
324.95909375 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
325.31346875 |
| transcript.pyannote[126].end |
325.93784375 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
326.00534375 |
| transcript.pyannote[127].end |
326.05596875 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
326.05596875 |
| transcript.pyannote[128].end |
328.31721875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
326.07284375 |
| transcript.pyannote[129].end |
326.61284375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
326.62971875 |
| transcript.pyannote[130].end |
327.57471875 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
328.45221875 |
| transcript.pyannote[131].end |
328.84034375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
328.97534375 |
| transcript.pyannote[132].end |
329.97096875 |
| transcript.whisperx[0].start |
5.994 |
| transcript.whisperx[0].end |
9.176 |
| transcript.whisperx[0].text |
好 感謝主席 本席邀請我們農業部陳部長陳部長各位好 保長你好保長 我今天想要跟你探討一個問題大概到今年為止 2024年我們的農業就業人口數大概將近50萬到49萬4千幾個 |
| transcript.whisperx[1].start |
29.813 |
| transcript.whisperx[1].end |
43.087 |
| transcript.whisperx[1].text |
現在應該更加四十八萬外傾那其中啊大概占我國總經理人數都差不多4%多啦但是我其中 |
| transcript.whisperx[2].start |
44.42 |
| transcript.whisperx[2].end |
69.371 |
| transcript.whisperx[2].text |
政府很關心農民 照顧農民所以我們從2021年我們就制定農民退休金的除息條例但是我看實施以來 我們最近的提繳人數逐月的降低啦我給你看這個曲線 大家來倒立農民退休除金的提繳人數好像參與人數就會越來越少 |
| transcript.whisperx[3].start |
70.371 |
| transcript.whisperx[3].end |
93.341 |
| transcript.whisperx[3].text |
到底是怎麼回事呢?是缺乏誘因呢?還是我們是不是應該,政府可以努力安裝來提供農民元利來參與退休儲金提交的意願?因為我們目的是要保障農民的生活,以及最重要的就是吸引年輕人投入。我們現在的親農人數大概有多少? |
| transcript.whisperx[4].start |
96.417 |
| transcript.whisperx[4].end |
122.217 |
| transcript.whisperx[4].text |
我們福島有關的都是七萬人左右七萬人左右我另外一個數字給部長當參考啦就是說很多人他要到農藥陣營其實有可能是勞工啦有可能在別的職場工作啦所以目前有參與勞保的農民大概有四萬三千九百多人就是說這些人是勞保啦但是他現在從事的是 |
| transcript.whisperx[5].start |
123.226 |
| transcript.whisperx[5].end |
129.772 |
| transcript.whisperx[5].text |
農業過去參與其他職業有了抱財心那很多人就因為他捨不得勞保所以就沒有來參加我們的 |
| transcript.whisperx[6].start |
138.347 |
| transcript.whisperx[6].end |
160.464 |
| transcript.whisperx[6].text |
農民退休的儲蓄啦 你知道這個總共嗎?我了解 我真的很感謝喔 就是委員提出這個觀察啦這個觀察真的非常重要 就是說我們現在有很多青農喔 大家有一半是假期從事勞工的但是因為勞工做了一段時間不做了從事農業 但是又捨不得放棄 |
| transcript.whisperx[7].start |
161.905 |
| transcript.whisperx[7].end |
177.772 |
| transcript.whisperx[7].text |
這個保溫完全沒有保障,我們現在的農業處境完全不能加保啦,不能加保所以我以為這樣說的話,這個部分我們要能夠解決了以後,才能夠讓這個覆蓋率能夠拉高對,因為你現在這個農民健康保險條例第五條你就知道了 |
| transcript.whisperx[8].start |
180.529 |
| transcript.whisperx[8].end |
187.314 |
| transcript.whisperx[8].text |
第三條就是如果你要參與農民的退休儲蓄,必須要有農報,更何況你第五條也寫到了,你要參與農民儲蓄保險 |
| transcript.whisperx[9].start |
201.144 |
| transcript.whisperx[9].end |
225.909 |
| transcript.whisperx[9].text |
必須為領取相關的社會保險 讓人給付啦他這兩條白紙的齁 所以這過去啊總是農業進行在白的政府的 在白的行業的他先 他是臣服勞保的 他就不敢放棄啊你知道他也不行啦 他一定要放棄才可以來參加 農民隊就出去嘛所以當然就幹給他的意願嘛 不然你 你如果知道這個情形 |
| transcript.whisperx[10].start |
227.009 |
| transcript.whisperx[10].end |
252.195 |
| transcript.whisperx[10].text |
那我是覺得農業部應該要想辦法來處理對 謝謝委員關心那這個部分第一個就是要去修法我們也同意委員的這個看法就是說這個青農的主力有一半是曾經是保勞保的部分然後我們可以設計他勞保繼續保因為他是用自營工作者但是他可以加入農民退休儲金 |
| transcript.whisperx[11].start |
253.115 |
| transcript.whisperx[11].end |
269.85 |
| transcript.whisperx[11].text |
那這樣的話他以後的保障會更多的時候他就有意願來繼續從事農業啦那這個部分如果委員支持我想我們會盡快的去在版本裡面去提出來配套因為你如果不修法你就抵觸啦政府要發展輕農 |
| transcript.whisperx[12].start |
271.672 |
| transcript.whisperx[12].end |
277.155 |
| transcript.whisperx[12].text |
對 輕點返鄉從事農業的這樣的一個政策方向你是否讓這個勞保跟農民退休儲蓄來脫鉤的話你不脫鉤的話 這個問題就會存在所以我們這個問題來處理 |
| transcript.whisperx[13].start |
288.123 |
| transcript.whisperx[13].end |
308.822 |
| transcript.whisperx[13].text |
從補充業界來處理喔你家這個人數啊我掌握的人數啊目前有勞保但是他從事農業的你看有將近4萬4千4萬幾人欸對喔好不好好啊這補充業家我們請部長如果有支持那我們農業部應該盡速來修改相關的規範我跟委員報告齁我們現在已經有安排跟行政院報告 |
| transcript.whisperx[14].start |
310.143 |
| transcript.whisperx[14].end |
323.836 |
| transcript.whisperx[14].text |
農民稅有儲金的包括委員也有提案的這個1比1.5的部分還有一些我們的想法包括您剛才講的這個東西我們把它把它變成一個完整的方案來爭取行政院的支持這樣好好好 抱歉先夠了謝謝謝謝主席謝謝好 謝謝 |
| gazette.lineno |
1187 |
| gazette.blocks[0][0] |
林委員俊憲:(12時21分)感謝主席。請農業部陳部長。 |
| gazette.blocks[1][0] |
主席:陳部長。 |
| gazette.blocks[2][0] |
陳部長駿季:委員好。 |
| gazette.blocks[3][0] |
林委員俊憲:部長你好。部長,本席今天想和你探討一個問題,到(去)2024年為止,農業就業人口將近50萬人,大概是四十九萬四千多人。 |
| gazette.blocks[4][0] |
陳部長駿季:現在應該是降到四十八萬八千人。 |
| gazette.blocks[5][0] |
林委員俊憲:變少了。大概占我國總就業人數4%左右,但是因為政府關心農民、照顧農民,所以從2021年就制定農民退休金儲蓄條例。 |
| gazette.blocks[6][0] |
陳部長駿季:對。 |
| gazette.blocks[7][0] |
林委員俊憲:但是實施以來,最近提繳人數逐月降低,本席讓你看一下這個曲線,這是每個月投入農民退休儲金的提繳人數,參與人數好像越來越少。為什麼會這樣?是缺乏誘因嗎?政府該如何努力提高農民參與退休儲金提繳的意願?因為它的目的是要保障農民的生活嘛!所以最重要的,就是吸引年輕人投入。 |
| gazette.blocks[8][0] |
陳部長駿季:是。 |
| gazette.blocks[9][0] |
林委員俊憲:現在青農人數大概有多少? |
| gazette.blocks[10][0] |
陳部長駿季:我們輔導的大約是七萬人左右。 |
| gazette.blocks[11][0] |
林委員俊憲:本席提供另外一個數字給部長參考。很多人在投入農業之前,有可能是勞工,也有可能在別的職場工作,所以目前有參與勞保的農民數,大概有四萬三千九百多人,這些人有參加勞保,但是他現在從事農業。他過去參與其他職業,也有勞保的身分,很多人因為捨不得勞保,所以就沒有參加農民退休儲蓄。你知道這個狀況嗎? |
| gazette.blocks[12][0] |
陳部長駿季:我了解。真的很感謝委員提出這個觀察結果,這個觀察真的非常重要。我們現在有很多青農,大概有一半過去是勞工,做了一段時間之後不做了,改從事農業,但是又捨不得放棄勞保,這個部分完全沒有保障,且不能加保農業儲金,所以委員說的這個部分,我們必須解決以後,才能夠讓覆蓋率拉高。 |
| gazette.blocks[13][0] |
林委員俊憲:對,因為現在農民健康保險條例第五條就是這樣規定。我們先說第三條,第三條的意思就是,如果你要參與農民的退休儲蓄,你必須要先有農保,這一條就綁死在這裡,有勞保就不行。更何況第五條也提到,若要參與農民儲蓄保險,你必須未領取相關的社會保險老年給付,這兩條就已經綁死了。所以過去在從事農業之前,他在別的職務、別的行業,他參與的是勞保,捨不得放棄,但他一定要放棄,才可以來參加農民退休儲蓄,當然就降低了他的意願,部長也知道這個情形,所以我是覺得農業部應該想辦法來處理。 |
| gazette.blocks[14][0] |
陳部長駿季:謝謝委員的關心。對於這個部分,第一個就是要去修法,我們同意委員的看法,就是青農的主力有一半曾經是保勞保的部分,我們可以設計讓他的勞保繼續保,因為他是用自營工作者,而他也可以加入農民退休儲金,這樣他以後的保障會更多,就有意願繼續從事農業。這個部分如果委員支持的話,我們會盡快在版本裡面去提出配套。 |
| gazette.blocks[15][0] |
林委員俊憲:如果不修法的話,就會牴觸政府要發展青農──青年返鄉從事農業,這樣的一個政策方向。如果不讓勞保跟農民退休儲蓄脫勾的話,這個問題就會存在。 |
| gazette.blocks[16][0] |
陳部長駿季:這個部分我們會來處理。 |
| gazette.blocks[17][0] |
林委員俊憲:所以部長你要來處理,就我現在所掌握到的人數,目前從事農業而有勞保的人將近四萬四千多。對於這個部分,部長若是支持,就請農業部儘速來修改相關的規範。 |
| gazette.blocks[18][0] |
陳部長駿季:我跟委員報告,我們已經安排要跟行政院報告農民退休儲金的議題,包括委員提案1比1.5的部分,還有一些我們的想法,包括您剛才講的這個東西,我們把它變成一個完整的方案,來爭取行政院的支持。 |
| gazette.blocks[19][0] |
林委員俊憲:好的,部長辛苦了,謝謝,謝謝主席。 |
| gazette.blocks[20][0] |
陳部長駿季:謝謝。 |
| gazette.blocks[21][0] |
主席:現在請呂玉玲委員詢答。 |
| gazette.agenda.page_end |
262 |
| gazette.agenda.meet_id |
委員會-11-3-19-15 |
| gazette.agenda.speakers[0] |
謝衣鳯 |
| gazette.agenda.speakers[1] |
邱議瑩 |
| gazette.agenda.speakers[2] |
鄭正鈐 |
| gazette.agenda.speakers[3] |
林岱樺 |
| gazette.agenda.speakers[4] |
張啓楷 |
| gazette.agenda.speakers[5] |
鄭天財Sra Kacaw |
| gazette.agenda.speakers[6] |
楊瓊瓔 |
| gazette.agenda.speakers[7] |
陳超明 |
| gazette.agenda.speakers[8] |
賴瑞隆 |
| gazette.agenda.speakers[9] |
邱志偉 |
| gazette.agenda.speakers[10] |
郭國文 |
| gazette.agenda.speakers[11] |
陳亭妃 |
| gazette.agenda.speakers[12] |
張嘉郡 |
| gazette.agenda.speakers[13] |
蔡易餘 |
| gazette.agenda.speakers[14] |
林俊憲 |
| gazette.agenda.speakers[15] |
呂玉玲 |
| gazette.agenda.page_start |
195 |
| gazette.agenda.meetingDate[0] |
2025-05-28 |
| gazette.agenda.gazette_id |
1145401 |
| gazette.agenda.agenda_lcidc_ids[0] |
1145401_00006 |
| gazette.agenda.meet_name |
立法院第11屆第3會期經濟委員會第15次全體委員會議紀錄 |
| gazette.agenda.content |
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) |
| gazette.agenda.agenda_id |
1145401_00005 |