| IVOD_ID |
164210 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164210 |
| 日期 |
2025-10-15 |
| 會議資料.會議代碼 |
委員會-11-4-19-3 |
| 會議資料.會議代碼:str |
第11屆第4會期經濟委員會第3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 |
3 |
| 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3次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-10-15T12:51:12+08:00 |
| 結束時間 |
2025-10-15T12:57:39+08:00 |
| 影片長度 |
00:06:27 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/d759c3dbefb57db69dd68f812a26ed0b1d8817d393176c43b6741136213cfef638f9d5c79002bdd25ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鍾佳濱 |
| 委員發言時間 |
12:51:12 - 12:57:39 |
| 會議時間 |
2025-10-15T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期經濟委員會第3次全體委員會議(事由:邀請農業部部長列席報告業務概況,並備質詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
11.77596875 |
| transcript.pyannote[0].end |
16.33221875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
16.77096875 |
| transcript.pyannote[1].end |
18.93096875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
19.20096875 |
| transcript.pyannote[2].end |
20.24721875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
20.55096875 |
| transcript.pyannote[3].end |
21.04034375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
26.38971875 |
| transcript.pyannote[4].end |
30.67596875 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
31.41846875 |
| transcript.pyannote[5].end |
40.86846875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
41.32409375 |
| transcript.pyannote[6].end |
42.91034375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
41.40846875 |
| transcript.pyannote[7].end |
45.25596875 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
44.69909375 |
| transcript.pyannote[8].end |
46.74096875 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
46.85909375 |
| transcript.pyannote[9].end |
49.27221875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
49.69409375 |
| transcript.pyannote[10].end |
53.38971875 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
54.03096875 |
| transcript.pyannote[11].end |
58.01346875 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
58.40159375 |
| transcript.pyannote[12].end |
58.90784375 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
59.49846875 |
| transcript.pyannote[13].end |
63.46409375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
64.37534375 |
| transcript.pyannote[14].end |
67.86846875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
68.62784375 |
| transcript.pyannote[15].end |
69.04971875 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
69.18471875 |
| transcript.pyannote[16].end |
72.84659375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
73.53846875 |
| transcript.pyannote[17].end |
73.92659375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
73.92659375 |
| transcript.pyannote[18].end |
78.31409375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
73.94346875 |
| transcript.pyannote[19].end |
74.12909375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
78.58409375 |
| transcript.pyannote[20].end |
79.81596875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
80.00159375 |
| transcript.pyannote[21].end |
80.92971875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
81.25034375 |
| transcript.pyannote[22].end |
85.43534375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
85.67159375 |
| transcript.pyannote[23].end |
91.76346875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
92.10096875 |
| transcript.pyannote[24].end |
99.62721875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
100.16721875 |
| transcript.pyannote[25].end |
102.25971875 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
102.46221875 |
| transcript.pyannote[26].end |
106.88346875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
104.77409375 |
| transcript.pyannote[27].end |
105.88784375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
107.37284375 |
| transcript.pyannote[28].end |
108.84096875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
109.09409375 |
| transcript.pyannote[29].end |
109.48221875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
110.20784375 |
| transcript.pyannote[30].end |
111.79409375 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
112.60409375 |
| transcript.pyannote[31].end |
118.54409375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
119.47221875 |
| transcript.pyannote[32].end |
123.30284375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
123.79221875 |
| transcript.pyannote[33].end |
128.68596875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
129.15846875 |
| transcript.pyannote[34].end |
129.46221875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
129.88409375 |
| transcript.pyannote[35].end |
132.46596875 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
132.61784375 |
| transcript.pyannote[36].end |
134.03534375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
134.74409375 |
| transcript.pyannote[37].end |
138.50721875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
138.91221875 |
| transcript.pyannote[38].end |
141.71346875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
142.10159375 |
| transcript.pyannote[39].end |
144.51471875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
144.88596875 |
| transcript.pyannote[40].end |
147.72096875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
147.82221875 |
| transcript.pyannote[41].end |
148.21034375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
148.21034375 |
| transcript.pyannote[42].end |
152.34471875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
152.46284375 |
| transcript.pyannote[43].end |
152.80034375 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
152.80034375 |
| transcript.pyannote[44].end |
157.72784375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
157.32284375 |
| transcript.pyannote[45].end |
158.11596875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
158.16659375 |
| transcript.pyannote[46].end |
162.82409375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
163.12784375 |
| transcript.pyannote[47].end |
165.49034375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
166.26659375 |
| transcript.pyannote[48].end |
166.53659375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
166.63784375 |
| transcript.pyannote[49].end |
168.49409375 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
168.74721875 |
| transcript.pyannote[50].end |
171.59909375 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
172.03784375 |
| transcript.pyannote[51].end |
174.29909375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
174.82221875 |
| transcript.pyannote[52].end |
178.43346875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
178.87221875 |
| transcript.pyannote[53].end |
180.35721875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
180.81284375 |
| transcript.pyannote[54].end |
184.40721875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
184.62659375 |
| transcript.pyannote[55].end |
188.98034375 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
189.36846875 |
| transcript.pyannote[56].end |
190.71846875 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
191.61284375 |
| transcript.pyannote[57].end |
193.55346875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
192.11909375 |
| transcript.pyannote[58].end |
193.78971875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
193.89096875 |
| transcript.pyannote[59].end |
199.47659375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
199.66221875 |
| transcript.pyannote[60].end |
200.79284375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
201.28221875 |
| transcript.pyannote[61].end |
205.58534375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
206.34471875 |
| transcript.pyannote[62].end |
209.77034375 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
210.09096875 |
| transcript.pyannote[63].end |
214.81596875 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
216.36846875 |
| transcript.pyannote[64].end |
218.41034375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
216.97596875 |
| transcript.pyannote[65].end |
220.01346875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
220.06409375 |
| transcript.pyannote[66].end |
225.31221875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
225.34596875 |
| transcript.pyannote[67].end |
225.76784375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
225.66659375 |
| transcript.pyannote[68].end |
226.61159375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
228.11346875 |
| transcript.pyannote[69].end |
229.78409375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
229.81784375 |
| transcript.pyannote[70].end |
230.22284375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
230.23971875 |
| transcript.pyannote[71].end |
236.19659375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
236.23034375 |
| transcript.pyannote[72].end |
236.63534375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
236.80409375 |
| transcript.pyannote[73].end |
241.05659375 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
241.24221875 |
| transcript.pyannote[74].end |
241.57971875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
241.93409375 |
| transcript.pyannote[75].end |
244.38096875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
245.44409375 |
| transcript.pyannote[76].end |
249.08909375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
249.57846875 |
| transcript.pyannote[77].end |
256.81784375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
255.82221875 |
| transcript.pyannote[78].end |
260.34471875 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
259.43346875 |
| transcript.pyannote[79].end |
263.12909375 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
263.29784375 |
| transcript.pyannote[80].end |
264.10784375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
264.34409375 |
| transcript.pyannote[81].end |
264.61409375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
264.93471875 |
| transcript.pyannote[82].end |
265.96409375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
265.96409375 |
| transcript.pyannote[83].end |
266.03159375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
266.03159375 |
| transcript.pyannote[84].end |
267.02721875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
267.02721875 |
| transcript.pyannote[85].end |
269.30534375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
267.07784375 |
| transcript.pyannote[86].end |
267.41534375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
269.47409375 |
| transcript.pyannote[87].end |
270.41909375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
270.77346875 |
| transcript.pyannote[88].end |
275.46471875 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
276.00471875 |
| transcript.pyannote[89].end |
276.98346875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
276.03846875 |
| transcript.pyannote[90].end |
276.88221875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
276.98346875 |
| transcript.pyannote[91].end |
279.07596875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
277.37159375 |
| transcript.pyannote[92].end |
283.07534375 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
283.42971875 |
| transcript.pyannote[93].end |
286.31534375 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
286.63596875 |
| transcript.pyannote[94].end |
287.53034375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
287.95221875 |
| transcript.pyannote[95].end |
289.55534375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
289.87596875 |
| transcript.pyannote[96].end |
290.17971875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
290.34846875 |
| transcript.pyannote[97].end |
291.17534375 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
291.44534375 |
| transcript.pyannote[98].end |
293.95971875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
294.06096875 |
| transcript.pyannote[99].end |
296.08596875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
295.07346875 |
| transcript.pyannote[100].end |
297.36846875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
297.36846875 |
| transcript.pyannote[101].end |
302.14409375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
302.53221875 |
| transcript.pyannote[102].end |
309.53534375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
310.46346875 |
| transcript.pyannote[103].end |
311.61096875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
312.03284375 |
| transcript.pyannote[104].end |
313.83846875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
313.01159375 |
| transcript.pyannote[105].end |
318.12471875 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
317.66909375 |
| transcript.pyannote[106].end |
320.75721875 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
322.17471875 |
| transcript.pyannote[107].end |
326.44409375 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
326.69721875 |
| transcript.pyannote[108].end |
327.99659375 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
328.97534375 |
| transcript.pyannote[109].end |
342.03659375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
329.81909375 |
| transcript.pyannote[110].end |
330.86534375 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
342.30659375 |
| transcript.pyannote[111].end |
345.09096875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
345.39471875 |
| transcript.pyannote[112].end |
345.85034375 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
346.13721875 |
| transcript.pyannote[113].end |
353.03909375 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
353.24159375 |
| transcript.pyannote[114].end |
355.28346875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
355.43534375 |
| transcript.pyannote[115].end |
356.90346875 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
357.15659375 |
| transcript.pyannote[116].end |
360.49784375 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
360.75096875 |
| transcript.pyannote[117].end |
361.29096875 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
361.42596875 |
| transcript.pyannote[118].end |
369.22221875 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
368.51346875 |
| transcript.pyannote[119].end |
374.13284375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
375.09471875 |
| transcript.pyannote[120].end |
375.12846875 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
375.12846875 |
| transcript.pyannote[121].end |
375.68534375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
375.16221875 |
| transcript.pyannote[122].end |
375.73596875 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
375.73596875 |
| transcript.pyannote[123].end |
383.29596875 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
377.03534375 |
| transcript.pyannote[124].end |
378.38534375 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
382.13159375 |
| transcript.pyannote[125].end |
382.90784375 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
383.65034375 |
| transcript.pyannote[126].end |
388.27409375 |
| transcript.whisperx[0].start |
11.909 |
| transcript.whisperx[0].end |
20.652 |
| transcript.whisperx[0].text |
主席在場的原先進列席的中央市長官員 會長 工作夥伴 媒體記者 女士先生有請我們那個農業部陳部長請陳部長 謝謝部長好 老農津貼加上農退儲金保障獎對不對 |
| transcript.whisperx[1].start |
31.445 |
| transcript.whisperx[1].end |
44.316 |
| transcript.whisperx[1].text |
好來我們看一下現在老農津貼跟農退儲金農民退休有雙層保障113年我們就農業人口差不多快50萬對不對48.9萬現在我最新的統計是48.7萬沒關係我覺得大概是那個數字這65歲以上的人可以領老農津貼部分有參加農民退休儲金還可以多領一點農民退休儲金對不對 |
| transcript.whisperx[2].start |
54.534 |
| transcript.whisperx[2].end |
71.332 |
| transcript.whisperx[2].text |
現在老農今天大概有快45萬人在勤領沒有錯吧好那我們等一下看來老農今天跟農民退休儲金有什麼差別第一老農今天一年我們大概預算要編450億對不對差不多我們農民退休儲金要相對提撥要編31億對不對 |
| transcript.whisperx[3].start |
74.001 |
| transcript.whisperx[3].end |
99.308 |
| transcript.whisperx[3].text |
那目前的退休處境的規模大概245億在我們說的退休當中 準備當中是同性戀的啦因為剛開辦嘛 是不是跟勞退比起來 我們很小嘛 公退很小嘛那覆蓋率的話呢 目前有22萬3千人符合提領資格覆蓋率差不多有一半但是到另外一半的人他們有參加農退處境那以勤領人數呢 目前農退老農今天有將近四十萬人在領 |
| transcript.whisperx[4].start |
100.208 |
| transcript.whisperx[4].end |
118.289 |
| transcript.whisperx[4].text |
那目前已經65歲以上在領農民退休儲金的差不多一萬四 其他人還在交啦可是領多少呢 農民老農今天是八千一嘛那農民退休儲金的看你存多少 你存的少的就領八百五嘛存的多就領一萬一千七嘛 對不對 |
| transcript.whisperx[5].start |
119.52 |
| transcript.whisperx[5].end |
135.787 |
| transcript.whisperx[5].text |
所以每年我們大概領到農農津貼的人有領到437億那又領到退休儲金的人有1億多啦好 這個規模幫你整理一下好 往下看來 什麼樣的人會去參加農退儲金?老人還是年輕人?年輕人比較有優勢啊 |
| transcript.whisperx[6].start |
136.372 |
| transcript.whisperx[6].end |
164.619 |
| transcript.whisperx[6].text |
對 但是大多數是老人家去參加啦因為我們開辦的晚嘛開辦的晚對 所以要退休的人他有急迫感他趕快存 對不對啊 比較年輕的人還在那邊慢慢地看 是不是這樣對好 那我們要鼓勵年輕人及早開始就去參加自體對不對對要鼓勵對不對對你越年輕越多你吃老的時期你年紀越多 是不是這樣是所以說當年在這個農退處已經開辦的時候那時候蔡總統是不是只是行政院要支持我們農業部開辦 |
| transcript.whisperx[7].start |
166.745 |
| transcript.whisperx[7].end |
189.628 |
| transcript.whisperx[7].text |
對對不對 農業部跟我們這條集沒有 也是行政議員 我們走多邊的嘛 是不是這樣是好 那我們來看 來 請問當時行政院是不是支持我們31億 現在繼續支持是 是嗎 阿純 提撥的人越來越多 需要的錢越來越多你認為行政院會不會繼續支持應該會 應該會嘛如果農民自提越多 政府支持越多 農業部會不會沒辦法 |
| transcript.whisperx[8].start |
191.653 |
| transcript.whisperx[8].end |
214.794 |
| transcript.whisperx[8].text |
保證 這個是百分之一五指數嘛所以我們來看一下齁 這個農退處境有這個好處 來你對勞退有了解嗎 勞工退休金勞退呢 它包括雇主強制提撥跟勞工自提的 對不對雇主至少要提6% 現在都會提6% 沒有問題你知不知道 勞工自願提的是0到6 有多少提 你知不知道 |
| transcript.whisperx[9].start |
216.414 |
| transcript.whisperx[9].end |
240.018 |
| transcript.whisperx[9].text |
你那個勞動部的事 十幾%而已大概十六十七而已啦比起我們的農退有將近一半 數很多耶你覺得是什麼原因沒有政府相對補助嘛 農退有政府相對補助嘛勞退自體沒有政府相對補助嘛 是不是這樣所以如果說勞動部說好啦 勞工政府也支持別說相對啦 有給政府鼓勵 |
| transcript.whisperx[10].start |
245.672 |
| transcript.whisperx[10].end |
263.565 |
| transcript.whisperx[10].text |
雖然不是你的農業部 你在行政會給他斬針 給他支持嗎我不敢說沒有啦 不敢說 人家等你 支持你你現在把人要好 你才不敢說斬針我問你敢斬針喔沒有 這個牽扯到後面需要多少經費那些東西啊等一下 沒錯 當年行政院支持我們農退有說其他話嗎 |
| transcript.whisperx[11].start |
265.326 |
| transcript.whisperx[11].end |
288.992 |
| transcript.whisperx[11].text |
農業部我們了解 所以我們敢爭取 勞工的部分沒有啦 你自己好 人家現在兩勞動部也要請出你會說你怕不怕如果勞動部提出的方案我們會你會不會給他佔下最後呢 所以說到目前只有16%的人字體往下看如果說支持勞退字體的提撥比例你會支持嗎勞動部我們提你會給他佔下嗎 |
| transcript.whisperx[12].start |
290.432 |
| transcript.whisperx[12].end |
308.265 |
| transcript.whisperx[12].text |
拜託委員沒有啦 我是問你的邱靖的同意嘛你做一個朋友邱靖我會支持勞動部的提案好 這樣才好 來 勞動部現在要提了勞動部現在安生要提什麼只要說勞工自體願意自體增加超過1%政府就送1%你聽到這個會怕不怕 |
| transcript.whisperx[13].start |
310.947 |
| transcript.whisperx[13].end |
327.115 |
| transcript.whisperx[13].text |
會不會把他打破了我還沒有問那個勞動部的想法不是啦 如果他勞動部這樣提你會不會拍 給他鼓掌部長如果這樣講 洪部長這樣講你會不會把他打破了說有夠勇敢的 我在聽聽他在聽你會不會 |
| transcript.whisperx[14].start |
329.605 |
| transcript.whisperx[14].end |
344.151 |
| transcript.whisperx[14].text |
我支持他們的提案你會支持他的提案好最後呢所以部長你會支持如果勞動部提說政府也加送一趴勞退自體送一趴你在旁邊聽了會說部長讚 黃部長我給你支持 |
| transcript.whisperx[15].start |
345.532 |
| transcript.whisperx[15].end |
373.41 |
| transcript.whisperx[15].text |
最後 來因為我們以農民退休處境為借鏡我們為了鼓勵勞工退休自體如果說政府提出來 勞務提出來自體的話 政府送一趴提高自體的意願你給他暫省 醫療你要再增加他也會支持你啦 是不是這樣拜託 我們現在經濟要往回了我們討論的是農業的部分因為勞工的部分我不夠熟 但是我會支持我是在替你騙人錢啦你現在給他暫省 醫療你要增加人家才會替你說話啦 沒有沒有 |
| transcript.whisperx[16].start |
375.331 |
| transcript.whisperx[16].end |
379.093 |
| transcript.whisperx[16].text |
我會支持勞動 勞動部提的這些 好 謝謝好 謝謝 感謝 謝謝我們宗家兵委員質詢 謝謝部長 |