| IVOD_ID |
166217 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/166217 |
| 日期 |
2025-12-08 |
| 會議資料.會議代碼 |
委員會-11-4-19-15 |
| 會議資料.會議代碼:str |
第11屆第4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 |
4 |
| 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4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 |
2025-12-08T10:24:45+08:00 |
| 結束時間 |
2025-12-08T10:32:24+08:00 |
| 影片長度 |
00:07:39 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e238918248e277b38518abcb181fbb7946ee6dd7c9e9cb52dc54cac4b90edbf53c866e876d24eab55ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
謝衣鳯 |
| 委員發言時間 |
10:24:45 - 10:32:24 |
| 會議時間 |
2025-12-08T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4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。
三、本院委員蔡易餘等20人擬具「農民退休儲金條例第二條及第七條條文修正草案」案。
四、本院委員陳亭妃等19人擬具「農民退休儲金條例第二條及第七條條文修正草案」案。
(第四案如未接獲院會交付審查之議事處來文，則不予審查) (詢答及處理)
【12月8日及10日二天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
7.00034375 |
| transcript.pyannote[0].end |
8.41784375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
9.83534375 |
| transcript.pyannote[1].end |
12.45096875 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
10.56096875 |
| transcript.pyannote[2].end |
10.57784375 |
| transcript.pyannote[3].speaker |
SPEAKER_03 |
| transcript.pyannote[3].start |
10.57784375 |
| transcript.pyannote[3].end |
12.83909375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
12.94034375 |
| transcript.pyannote[4].end |
14.64471875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
15.18471875 |
| transcript.pyannote[5].end |
15.58971875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
16.36596875 |
| transcript.pyannote[6].end |
25.05659375 |
| transcript.pyannote[7].speaker |
SPEAKER_03 |
| transcript.pyannote[7].start |
22.99784375 |
| transcript.pyannote[7].end |
23.47034375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
25.30971875 |
| transcript.pyannote[8].end |
26.17034375 |
| transcript.pyannote[9].speaker |
SPEAKER_03 |
| transcript.pyannote[9].start |
25.86659375 |
| transcript.pyannote[9].end |
27.31784375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
27.33471875 |
| transcript.pyannote[10].end |
27.35159375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
27.38534375 |
| transcript.pyannote[11].end |
29.20784375 |
| transcript.pyannote[12].speaker |
SPEAKER_03 |
| transcript.pyannote[12].start |
30.03471875 |
| transcript.pyannote[12].end |
37.91534375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
33.52784375 |
| transcript.pyannote[13].end |
33.94971875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
38.11784375 |
| transcript.pyannote[14].end |
41.12159375 |
| transcript.pyannote[15].speaker |
SPEAKER_03 |
| transcript.pyannote[15].start |
39.38346875 |
| transcript.pyannote[15].end |
39.50159375 |
| transcript.pyannote[16].speaker |
SPEAKER_03 |
| transcript.pyannote[16].start |
40.51409375 |
| transcript.pyannote[16].end |
44.14221875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
44.14221875 |
| transcript.pyannote[17].end |
44.69909375 |
| transcript.pyannote[18].speaker |
SPEAKER_03 |
| transcript.pyannote[18].start |
44.46284375 |
| transcript.pyannote[18].end |
48.10784375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
47.97284375 |
| transcript.pyannote[19].end |
48.39471875 |
| transcript.pyannote[20].speaker |
SPEAKER_03 |
| transcript.pyannote[20].start |
48.14159375 |
| transcript.pyannote[20].end |
48.22596875 |
| transcript.pyannote[21].speaker |
SPEAKER_03 |
| transcript.pyannote[21].start |
48.24284375 |
| transcript.pyannote[21].end |
50.55471875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
51.02721875 |
| transcript.pyannote[22].end |
57.57471875 |
| transcript.pyannote[23].speaker |
SPEAKER_03 |
| transcript.pyannote[23].start |
57.20346875 |
| transcript.pyannote[23].end |
63.04221875 |
| transcript.pyannote[24].speaker |
SPEAKER_03 |
| transcript.pyannote[24].start |
63.56534375 |
| transcript.pyannote[24].end |
72.88034375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
67.81784375 |
| transcript.pyannote[25].end |
67.85159375 |
| transcript.pyannote[26].speaker |
SPEAKER_02 |
| transcript.pyannote[26].start |
67.85159375 |
| transcript.pyannote[26].end |
68.18909375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
73.06596875 |
| transcript.pyannote[27].end |
73.42034375 |
| transcript.pyannote[28].speaker |
SPEAKER_03 |
| transcript.pyannote[28].start |
73.33596875 |
| transcript.pyannote[28].end |
76.81221875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
76.93034375 |
| transcript.pyannote[29].end |
77.40284375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
77.62221875 |
| transcript.pyannote[30].end |
80.38971875 |
| transcript.pyannote[31].speaker |
SPEAKER_03 |
| transcript.pyannote[31].start |
77.68971875 |
| transcript.pyannote[31].end |
78.07784375 |
| transcript.pyannote[32].speaker |
SPEAKER_03 |
| transcript.pyannote[32].start |
80.50784375 |
| transcript.pyannote[32].end |
84.20346875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
80.94659375 |
| transcript.pyannote[33].end |
81.67221875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
83.66346875 |
| transcript.pyannote[34].end |
84.10221875 |
| transcript.pyannote[35].speaker |
SPEAKER_03 |
| transcript.pyannote[35].start |
84.57471875 |
| transcript.pyannote[35].end |
86.41409375 |
| transcript.pyannote[36].speaker |
SPEAKER_03 |
| transcript.pyannote[36].start |
86.97096875 |
| transcript.pyannote[36].end |
90.93659375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
89.51909375 |
| transcript.pyannote[37].end |
90.16034375 |
| transcript.pyannote[38].speaker |
SPEAKER_03 |
| transcript.pyannote[38].start |
91.18971875 |
| transcript.pyannote[38].end |
95.17221875 |
| transcript.pyannote[39].speaker |
SPEAKER_03 |
| transcript.pyannote[39].start |
95.18909375 |
| transcript.pyannote[39].end |
107.64284375 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
95.29034375 |
| transcript.pyannote[40].end |
95.45909375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
106.37721875 |
| transcript.pyannote[41].end |
112.92471875 |
| transcript.pyannote[42].speaker |
SPEAKER_03 |
| transcript.pyannote[42].start |
110.25846875 |
| transcript.pyannote[42].end |
111.64221875 |
| transcript.pyannote[43].speaker |
SPEAKER_03 |
| transcript.pyannote[43].start |
112.30034375 |
| transcript.pyannote[43].end |
125.00721875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
116.85659375 |
| transcript.pyannote[44].end |
117.26159375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
125.24346875 |
| transcript.pyannote[45].end |
128.56784375 |
| transcript.pyannote[46].speaker |
SPEAKER_03 |
| transcript.pyannote[46].start |
128.21346875 |
| transcript.pyannote[46].end |
129.71534375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
129.71534375 |
| transcript.pyannote[47].end |
132.06096875 |
| transcript.pyannote[48].speaker |
SPEAKER_03 |
| transcript.pyannote[48].start |
132.09471875 |
| transcript.pyannote[48].end |
135.36846875 |
| transcript.pyannote[49].speaker |
SPEAKER_03 |
| transcript.pyannote[49].start |
135.70596875 |
| transcript.pyannote[49].end |
136.33034375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
135.73971875 |
| transcript.pyannote[50].end |
136.87034375 |
| transcript.pyannote[51].speaker |
SPEAKER_03 |
| transcript.pyannote[51].start |
136.80284375 |
| transcript.pyannote[51].end |
141.93284375 |
| transcript.pyannote[52].speaker |
SPEAKER_03 |
| transcript.pyannote[52].start |
142.30409375 |
| transcript.pyannote[52].end |
142.67534375 |
| transcript.pyannote[53].speaker |
SPEAKER_03 |
| transcript.pyannote[53].start |
142.96221875 |
| transcript.pyannote[53].end |
147.46784375 |
| transcript.pyannote[54].speaker |
SPEAKER_02 |
| transcript.pyannote[54].start |
147.50159375 |
| transcript.pyannote[54].end |
147.92346875 |
| transcript.pyannote[55].speaker |
SPEAKER_03 |
| transcript.pyannote[55].start |
147.78846875 |
| transcript.pyannote[55].end |
149.84721875 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
149.72909375 |
| transcript.pyannote[56].end |
150.11721875 |
| transcript.pyannote[57].speaker |
SPEAKER_03 |
| transcript.pyannote[57].start |
150.10034375 |
| transcript.pyannote[57].end |
159.36471875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
158.03159375 |
| transcript.pyannote[58].end |
158.60534375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
159.36471875 |
| transcript.pyannote[59].end |
167.12721875 |
| transcript.pyannote[60].speaker |
SPEAKER_03 |
| transcript.pyannote[60].start |
166.21596875 |
| transcript.pyannote[60].end |
170.80596875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
171.09284375 |
| transcript.pyannote[61].end |
171.49784375 |
| transcript.pyannote[62].speaker |
SPEAKER_03 |
| transcript.pyannote[62].start |
171.49784375 |
| transcript.pyannote[62].end |
180.18846875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
177.74159375 |
| transcript.pyannote[63].end |
178.14659375 |
| transcript.pyannote[64].speaker |
SPEAKER_03 |
| transcript.pyannote[64].start |
180.74534375 |
| transcript.pyannote[64].end |
186.78659375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
186.92159375 |
| transcript.pyannote[65].end |
197.50221875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
197.51909375 |
| transcript.pyannote[66].end |
205.45034375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
205.61909375 |
| transcript.pyannote[67].end |
207.12096875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
207.49221875 |
| transcript.pyannote[68].end |
210.69846875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
210.96846875 |
| transcript.pyannote[69].end |
224.35034375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
213.71909375 |
| transcript.pyannote[70].end |
214.14096875 |
| transcript.pyannote[71].speaker |
SPEAKER_03 |
| transcript.pyannote[71].start |
224.45159375 |
| transcript.pyannote[71].end |
229.22721875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
229.10909375 |
| transcript.pyannote[72].end |
229.14284375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
229.14284375 |
| transcript.pyannote[73].end |
229.41284375 |
| transcript.pyannote[74].speaker |
SPEAKER_03 |
| transcript.pyannote[74].start |
229.39596875 |
| transcript.pyannote[74].end |
234.18846875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
229.41284375 |
| transcript.pyannote[75].end |
229.48034375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
229.48034375 |
| transcript.pyannote[76].end |
229.53096875 |
| transcript.pyannote[77].speaker |
SPEAKER_03 |
| transcript.pyannote[77].start |
234.72846875 |
| transcript.pyannote[77].end |
237.19221875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
237.10784375 |
| transcript.pyannote[78].end |
237.46221875 |
| transcript.pyannote[79].speaker |
SPEAKER_03 |
| transcript.pyannote[79].start |
237.44534375 |
| transcript.pyannote[79].end |
239.38596875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
239.38596875 |
| transcript.pyannote[80].end |
239.92596875 |
| transcript.pyannote[81].speaker |
SPEAKER_03 |
| transcript.pyannote[81].start |
239.82471875 |
| transcript.pyannote[81].end |
252.00846875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
252.17721875 |
| transcript.pyannote[82].end |
255.97409375 |
| transcript.pyannote[83].speaker |
SPEAKER_03 |
| transcript.pyannote[83].start |
255.88971875 |
| transcript.pyannote[83].end |
259.33221875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
259.28159375 |
| transcript.pyannote[84].end |
262.96034375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
263.44971875 |
| transcript.pyannote[85].end |
265.72784375 |
| transcript.pyannote[86].speaker |
SPEAKER_03 |
| transcript.pyannote[86].start |
264.86721875 |
| transcript.pyannote[86].end |
266.60534375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
265.81221875 |
| transcript.pyannote[87].end |
271.39784375 |
| transcript.pyannote[88].speaker |
SPEAKER_03 |
| transcript.pyannote[88].start |
268.98471875 |
| transcript.pyannote[88].end |
269.42346875 |
| transcript.pyannote[89].speaker |
SPEAKER_03 |
| transcript.pyannote[89].start |
271.22909375 |
| transcript.pyannote[89].end |
271.81971875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
271.81971875 |
| transcript.pyannote[90].end |
292.33971875 |
| transcript.pyannote[91].speaker |
SPEAKER_03 |
| transcript.pyannote[91].start |
276.67971875 |
| transcript.pyannote[91].end |
277.16909375 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
277.16909375 |
| transcript.pyannote[92].end |
277.18596875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
284.77971875 |
| transcript.pyannote[93].end |
285.03284375 |
| transcript.pyannote[94].speaker |
SPEAKER_03 |
| transcript.pyannote[94].start |
285.03284375 |
| transcript.pyannote[94].end |
285.55596875 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
285.55596875 |
| transcript.pyannote[95].end |
285.57284375 |
| transcript.pyannote[96].speaker |
SPEAKER_03 |
| transcript.pyannote[96].start |
291.78284375 |
| transcript.pyannote[96].end |
306.54846875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
296.59221875 |
| transcript.pyannote[97].end |
296.69346875 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
296.69346875 |
| transcript.pyannote[98].end |
296.72721875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
296.72721875 |
| transcript.pyannote[99].end |
296.81159375 |
| transcript.pyannote[100].speaker |
SPEAKER_02 |
| transcript.pyannote[100].start |
296.81159375 |
| transcript.pyannote[100].end |
296.89596875 |
| transcript.pyannote[101].speaker |
SPEAKER_02 |
| transcript.pyannote[101].start |
306.54846875 |
| transcript.pyannote[101].end |
307.10534375 |
| transcript.pyannote[102].speaker |
SPEAKER_03 |
| transcript.pyannote[102].start |
306.98721875 |
| transcript.pyannote[102].end |
322.30971875 |
| transcript.pyannote[103].speaker |
SPEAKER_02 |
| transcript.pyannote[103].start |
316.52159375 |
| transcript.pyannote[103].end |
316.84221875 |
| transcript.pyannote[104].speaker |
SPEAKER_02 |
| transcript.pyannote[104].start |
318.46221875 |
| transcript.pyannote[104].end |
318.93471875 |
| transcript.pyannote[105].speaker |
SPEAKER_03 |
| transcript.pyannote[105].start |
322.36034375 |
| transcript.pyannote[105].end |
322.37721875 |
| transcript.pyannote[106].speaker |
SPEAKER_02 |
| transcript.pyannote[106].start |
322.37721875 |
| transcript.pyannote[106].end |
322.76534375 |
| transcript.pyannote[107].speaker |
SPEAKER_03 |
| transcript.pyannote[107].start |
322.42784375 |
| transcript.pyannote[107].end |
322.49534375 |
| transcript.pyannote[108].speaker |
SPEAKER_03 |
| transcript.pyannote[108].start |
322.54596875 |
| transcript.pyannote[108].end |
326.93346875 |
| transcript.pyannote[109].speaker |
SPEAKER_03 |
| transcript.pyannote[109].start |
327.15284375 |
| transcript.pyannote[109].end |
328.78971875 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
328.99221875 |
| transcript.pyannote[110].end |
331.54034375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
332.38409375 |
| transcript.pyannote[111].end |
361.29096875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
338.76284375 |
| transcript.pyannote[112].end |
338.84721875 |
| transcript.pyannote[113].speaker |
SPEAKER_02 |
| transcript.pyannote[113].start |
338.84721875 |
| transcript.pyannote[113].end |
338.96534375 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
338.96534375 |
| transcript.pyannote[114].end |
339.25221875 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
353.25846875 |
| transcript.pyannote[115].end |
353.27534375 |
| transcript.pyannote[116].speaker |
SPEAKER_03 |
| transcript.pyannote[116].start |
353.27534375 |
| transcript.pyannote[116].end |
353.46096875 |
| transcript.pyannote[117].speaker |
SPEAKER_03 |
| transcript.pyannote[117].start |
355.48596875 |
| transcript.pyannote[117].end |
356.12721875 |
| transcript.pyannote[118].speaker |
SPEAKER_03 |
| transcript.pyannote[118].start |
361.44284375 |
| transcript.pyannote[118].end |
365.86409375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
363.68721875 |
| transcript.pyannote[119].end |
364.83471875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
365.10471875 |
| transcript.pyannote[120].end |
367.26471875 |
| transcript.pyannote[121].speaker |
SPEAKER_03 |
| transcript.pyannote[121].start |
366.92721875 |
| transcript.pyannote[121].end |
382.97534375 |
| transcript.pyannote[122].speaker |
SPEAKER_03 |
| transcript.pyannote[122].start |
383.34659375 |
| transcript.pyannote[122].end |
391.32846875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
385.60784375 |
| transcript.pyannote[123].end |
385.75971875 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
390.58596875 |
| transcript.pyannote[124].end |
392.37471875 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
392.50971875 |
| transcript.pyannote[125].end |
394.43346875 |
| transcript.pyannote[126].speaker |
SPEAKER_03 |
| transcript.pyannote[126].start |
394.41659375 |
| transcript.pyannote[126].end |
397.79159375 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
396.89721875 |
| transcript.pyannote[127].end |
399.36096875 |
| transcript.pyannote[128].speaker |
SPEAKER_03 |
| transcript.pyannote[128].start |
398.38221875 |
| transcript.pyannote[128].end |
399.98534375 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
400.05284375 |
| transcript.pyannote[129].end |
402.97221875 |
| transcript.pyannote[130].speaker |
SPEAKER_03 |
| transcript.pyannote[130].start |
400.71096875 |
| transcript.pyannote[130].end |
401.08221875 |
| transcript.pyannote[131].speaker |
SPEAKER_03 |
| transcript.pyannote[131].start |
402.75284375 |
| transcript.pyannote[131].end |
408.97971875 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
405.25034375 |
| transcript.pyannote[132].end |
405.90846875 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
409.09784375 |
| transcript.pyannote[133].end |
409.53659375 |
| transcript.pyannote[134].speaker |
SPEAKER_03 |
| transcript.pyannote[134].start |
409.53659375 |
| transcript.pyannote[134].end |
411.39284375 |
| transcript.pyannote[135].speaker |
SPEAKER_03 |
| transcript.pyannote[135].start |
411.78096875 |
| transcript.pyannote[135].end |
415.51034375 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
415.69596875 |
| transcript.pyannote[136].end |
419.23971875 |
| transcript.pyannote[137].speaker |
SPEAKER_03 |
| transcript.pyannote[137].start |
416.91096875 |
| transcript.pyannote[137].end |
417.31596875 |
| transcript.pyannote[138].speaker |
SPEAKER_03 |
| transcript.pyannote[138].start |
418.29471875 |
| transcript.pyannote[138].end |
419.83034375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
419.66159375 |
| transcript.pyannote[139].end |
441.16034375 |
| transcript.pyannote[140].speaker |
SPEAKER_03 |
| transcript.pyannote[140].start |
420.01596875 |
| transcript.pyannote[140].end |
420.11721875 |
| transcript.pyannote[141].speaker |
SPEAKER_02 |
| transcript.pyannote[141].start |
426.39471875 |
| transcript.pyannote[141].end |
426.78284375 |
| transcript.pyannote[142].speaker |
SPEAKER_03 |
| transcript.pyannote[142].start |
440.56971875 |
| transcript.pyannote[142].end |
447.55596875 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
447.53909375 |
| transcript.pyannote[143].end |
453.85034375 |
| transcript.pyannote[144].speaker |
SPEAKER_03 |
| transcript.pyannote[144].start |
448.29846875 |
| transcript.pyannote[144].end |
448.51784375 |
| transcript.pyannote[145].speaker |
SPEAKER_03 |
| transcript.pyannote[145].start |
451.20096875 |
| transcript.pyannote[145].end |
456.97221875 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
456.97221875 |
| transcript.pyannote[146].end |
457.46159375 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
458.89596875 |
| transcript.pyannote[147].end |
460.43159375 |
| transcript.whisperx[0].start |
7.028 |
| transcript.whisperx[0].end |
24.386 |
| transcript.whisperx[0].text |
好 謝謝主席不好意思 我腰閃到不好意思 你不回去 好好好部長 我想請問一下這個農民退休儲金條例其實我上會期就已經有你說這會期要送這個會期會送進來啊對啊 什麼時候 |
| transcript.whisperx[1].start |
30.043 |
| transcript.whisperx[1].end |
50.236 |
| transcript.whisperx[1].text |
我跟委員報告 其實我們跟行政院都已經報告完了現在就等到安排院會以後就可以送進來了大概什麼時候 你總要跟我們我們盡可能的跟行政院溝通剛才趙委有講說看看這個禮拜可不可以進去我們會盡最大的努力 |
| transcript.whisperx[2].start |
51.312 |
| transcript.whisperx[2].end |
74.845 |
| transcript.whisperx[2].text |
現在覆蓋率只有50那你提出你的版本你規劃說未來覆蓋率可以到達多少我們如果從現在參與的年齡層來講輕農的部分就是剛進到農業職場大概5年到10年這段人他的覆蓋率最低的才20幾而已所以我們希望說減輕他的負擔這樣的話他們就有機會來繳這個錢 |
| transcript.whisperx[3].start |
77.908 |
| transcript.whisperx[3].end |
81.918 |
| transcript.whisperx[3].text |
那相對的提高比例是1.5嗎我們保證不變就是委員您提的是正午 |
| transcript.whisperx[4].start |
87.051 |
| transcript.whisperx[4].end |
110.37 |
| transcript.whisperx[4].text |
提拨的多一点农民继续缴原来的可是我们问了农民就是说他现在的钱就缴不出来了他不在乎最后的保障是提高的因为最后的保障其实是30年后特别是20几年后他们是希望现在能够少缴一点所以我们根据这个部分保障不变所以你们是希望就是说让农民少缴一点对 |
| transcript.whisperx[5].start |
111.03 |
| transcript.whisperx[5].end |
121.385 |
| transcript.whisperx[5].text |
然後政府多繳一點所以你們用比例對 本來是10 10嘛就是20%裡面然後政府繳8%政府繳12%然後農民繳8%這樣的話繳的比較少 他們就願意 |
| transcript.whisperx[6].start |
125.345 |
| transcript.whisperx[6].end |
146.87 |
| transcript.whisperx[6].text |
所以是你們用比例的問題就對了對用這樣的方式然後那能夠提高的覆蓋率是多少我們希望至少能夠再提高個10%以上就是60%剛才包括委員之前也一直在提醒的就是說如果農民退休儲金加了農民退休儲金我的其他的政策補助是可以加碼 |
| transcript.whisperx[7].start |
148.19 |
| transcript.whisperx[7].end |
170.572 |
| transcript.whisperx[7].text |
那这样的话更有诱因啊特别是他们需要一些代管或者是他们需要一些农机具的补助如果你有农民退休雏金的话我可能提高了3% 5%可以让他们的退休雏金当做一个就是说等于担保品吗是不是不是就是你如果参与农民退休雏金我的补助可以加码 |
| transcript.whisperx[8].start |
171.856 |
| transcript.whisperx[8].end |
186.346 |
| transcript.whisperx[8].text |
這樣的話他們就有誘因因為他們要來申請補助嘛像農機的補助對不對其他的補助那你有參加退休儲金就可以多個5%那這樣的話也是一種誘因啦我們希望說透過這樣的方式來提高他們的誘因 |
| transcript.whisperx[9].start |
186.977 |
| transcript.whisperx[9].end |
214.105 |
| transcript.whisperx[9].text |
好 那希望競速題來委員會好不好那因為這個是相關的那個大家都在意的問題那是不是請農業部就這個部分緊述那再來就是說廚餘現在就是說在廢棄法裡面認為是一般廢棄物對不對那可是如果要比照日本的Eco-Food那樣的模式 |
| transcript.whisperx[10].start |
215.405 |
| transcript.whisperx[10].end |
232.081 |
| transcript.whisperx[10].text |
你就是變成是環保飼料那是不是要改變廚餘在廢青法裡面的這個認定的我跟委員報告就是在廢青法這邊弄的是一個生廚餘的部分那未來如果說廚餘經過加工以後變成飼料 |
| transcript.whisperx[11].start |
235.284 |
| transcript.whisperx[11].end |
262.541 |
| transcript.whisperx[11].text |
那就是一個飼料的一個產品它不會是一個廢棄物了所以我們未來是朝向像日本就是說它是把一些食品的下繳料還有其他飼料的一些下繳料廢棄物它變成飼料以後它就脫離了廢青瓦的管轄對那所以有辦法嗎你們有提出嗎這個應該就沒問題了變成飼料就不屬於廢青瓦管理那這個部分就是說那個環境部有同意嗎 |
| transcript.whisperx[12].start |
263.522 |
| transcript.whisperx[12].end |
291.857 |
| transcript.whisperx[12].text |
因為這個廢清法的我們一起在努力因為廢清法是環境部嘛對不對因為這個東西涉及到兩個部門喔我知道那因為這個廚餘的處理一直都在環境部喔是那所以你們禁用廚餘的這個問題那牽涉到台灣的所有的廚餘未來的去化對 要怎麼樣去化嘛那現在這個問題到底有沒有解決在行政院會你們有沒有解決 |
| transcript.whisperx[13].start |
293.778 |
| transcript.whisperx[13].end |
322.038 |
| transcript.whisperx[13].text |
環境部已經規劃完整的一個去化方式然後在明年年底的時候因為它有一部分會進到焚化爐那焚化爐如果參雜廚餘大概10%的話對於焚化爐是沒有影響的所以他們用這種方式來處理還有包括能源化還有飼料化的部分所以廚餘就是一個廢棄物當你廢棄物變成能源化的話那相關的像黑水盟那如果變成一個飼料的話那就是飼料化 |
| transcript.whisperx[14].start |
322.698 |
| transcript.whisperx[14].end |
340.581 |
| transcript.whisperx[14].text |
對那這個部分如果都處理完還不夠的話就進到焚化爐去焚燒他們大概有這樣的一個規劃好還有就是還有就是剛才大家提到的啦就是你廚餘的這個就是廚餘養豬這個你要全面禁止嘛那 |
| transcript.whisperx[15].start |
341.281 |
| transcript.whisperx[15].end |
356.709 |
| transcript.whisperx[15].text |
對於飼料的補貼我剛才看到了你那個飼料補貼為什麼從就是說現在開始接受飼料補貼的轉變成飼料的是3600那明年的才1800嘛對不對我看到你美頭是這樣子你這樣子有辦法讓他們轉成飼料嗎 |
| transcript.whisperx[16].start |
361.731 |
| transcript.whisperx[16].end |
377.68 |
| transcript.whisperx[16].text |
我們設計這樣就是希望他們提早來轉你想要他快點轉嗎快點轉的時候我們的輔導團隊特別是黑毛豬的輔導團隊我們會來協助這邊然後我們也試算了一些用我們的黑毛豬的配方 |
| transcript.whisperx[17].start |
378.74 |
| transcript.whisperx[17].end |
399.76 |
| transcript.whisperx[17].text |
的部分其實它的成本會高一點但是後面我們會推動黑毛豬的這些品牌讓它消費市場的價格價值也高一點的話大概能夠平衡他們的一個收入我們豬肉出口咧我們豬肉現在出口怎樣豬肉的出口目前就是會等到我們加工的部分是可以啦 |
| transcript.whisperx[18].start |
400.701 |
| transcript.whisperx[18].end |
415.374 |
| transcript.whisperx[18].text |
非洲豬胃如果再一次的那個加熱的豬肉產品是可以出口的但是生鮮的話現在是不行要經過再去跟那個WHO去申請為非裔區以後才可以 |
| transcript.whisperx[19].start |
415.782 |
| transcript.whisperx[19].end |
443.809 |
| transcript.whisperx[19].text |
就是再等三個月嘛是不是對至少三個月啦好那我們彰化的那個什麼西湖的冷鏈啊那個後面畜牧師師長那時候有去啊對我們冷鏈那個是不是能夠協助我們彰化的因為其實你要做冷鏈就是希望說肉品的加工或者是外銷或者是販賣能夠有就是有提高它的利用性我跟維銘報告就是肉品市場附設的這個加工廠 |
| transcript.whisperx[20].start |
444.449 |
| transcript.whisperx[20].end |
457.296 |
| transcript.whisperx[20].text |
過去都是農業部來協助的我想我們後續也會再來協助對啊我們是不是能夠來協助提高這些肉品的這個部分我想我們銷售市場好不好用冷鏈的部分我們會來支持的好不好好好好謝謝謝謝蕭一鋒委員 |