| IVOD_ID |
166223 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/166223 |
| 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 |
2025-12-08T10:45:47+08:00 |
| 結束時間 |
2025-12-08T10:55:29+08:00 |
| 影片長度 |
00:09:42 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e238918248e277b39ed3f16cf19a608846ee6dd7c9e9cb52dc54cac4b90edbf5047be7cfaf59973b5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
楊瓊瓔 |
| 委員發言時間 |
10:45:47 - 10:55:29 |
| 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 |
2.84909375 |
| transcript.pyannote[0].end |
3.96284375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
4.62096875 |
| transcript.pyannote[1].end |
5.56596875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
5.86971875 |
| transcript.pyannote[2].end |
6.78096875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
6.98346875 |
| transcript.pyannote[3].end |
8.75534375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
9.31221875 |
| transcript.pyannote[4].end |
9.75096875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
10.45971875 |
| transcript.pyannote[5].end |
11.42159375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
12.19784375 |
| transcript.pyannote[6].end |
23.21721875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
23.45346875 |
| transcript.pyannote[7].end |
33.83159375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
27.82409375 |
| transcript.pyannote[8].end |
27.92534375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
34.52346875 |
| transcript.pyannote[9].end |
36.14346875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
36.36284375 |
| transcript.pyannote[10].end |
37.12221875 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
37.84784375 |
| transcript.pyannote[11].end |
38.99534375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
39.33284375 |
| transcript.pyannote[12].end |
40.58159375 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
40.69971875 |
| transcript.pyannote[13].end |
41.08784375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
41.02034375 |
| transcript.pyannote[14].end |
42.55596875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
43.21409375 |
| transcript.pyannote[15].end |
44.46284375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
45.28971875 |
| transcript.pyannote[16].end |
48.51284375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
48.95159375 |
| transcript.pyannote[17].end |
72.66096875 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
49.03596875 |
| transcript.pyannote[18].end |
49.40721875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
73.06596875 |
| transcript.pyannote[19].end |
84.43971875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
83.69721875 |
| transcript.pyannote[20].end |
89.02971875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
87.89909375 |
| transcript.pyannote[21].end |
100.72409375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
90.04221875 |
| transcript.pyannote[22].end |
90.36284375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
100.84221875 |
| transcript.pyannote[23].end |
101.68596875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
102.52971875 |
| transcript.pyannote[24].end |
104.09909375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
103.82909375 |
| transcript.pyannote[25].end |
104.94284375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
104.25096875 |
| transcript.pyannote[26].end |
107.98034375 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
106.69784375 |
| transcript.pyannote[27].end |
107.25471875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
107.44034375 |
| transcript.pyannote[28].end |
111.43971875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
108.45284375 |
| transcript.pyannote[29].end |
109.07721875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
110.69721875 |
| transcript.pyannote[30].end |
114.49409375 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
112.13159375 |
| transcript.pyannote[31].end |
112.55346875 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
113.65034375 |
| transcript.pyannote[32].end |
120.99096875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
115.32096875 |
| transcript.pyannote[33].end |
115.72596875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
120.80534375 |
| transcript.pyannote[34].end |
161.40659375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
136.56659375 |
| transcript.pyannote[35].end |
136.97159375 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
151.65284375 |
| transcript.pyannote[36].end |
152.71596875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
153.22221875 |
| transcript.pyannote[37].end |
153.62721875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
161.71034375 |
| transcript.pyannote[38].end |
163.31346875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
163.76909375 |
| transcript.pyannote[39].end |
168.10596875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
167.48159375 |
| transcript.pyannote[40].end |
175.22721875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
175.48034375 |
| transcript.pyannote[41].end |
178.87221875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
179.47971875 |
| transcript.pyannote[42].end |
185.45346875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
185.06534375 |
| transcript.pyannote[43].end |
185.11596875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
185.58846875 |
| transcript.pyannote[44].end |
186.19596875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
186.48284375 |
| transcript.pyannote[45].end |
187.59659375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
187.91721875 |
| transcript.pyannote[46].end |
195.76409375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
195.91596875 |
| transcript.pyannote[47].end |
203.00346875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
203.62784375 |
| transcript.pyannote[48].end |
206.90159375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
207.61034375 |
| transcript.pyannote[49].end |
211.00221875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
211.30596875 |
| transcript.pyannote[50].end |
213.55034375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
213.70221875 |
| transcript.pyannote[51].end |
226.10534375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
226.76346875 |
| transcript.pyannote[52].end |
228.61971875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
228.70409375 |
| transcript.pyannote[53].end |
229.15971875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
229.36221875 |
| transcript.pyannote[54].end |
250.18596875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
237.17534375 |
| transcript.pyannote[55].end |
237.59721875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
240.09471875 |
| transcript.pyannote[56].end |
240.55034375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
250.30409375 |
| transcript.pyannote[57].end |
260.71596875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
261.22221875 |
| transcript.pyannote[58].end |
271.48221875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
261.61034375 |
| transcript.pyannote[59].end |
262.58909375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
270.77346875 |
| transcript.pyannote[60].end |
275.81909375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
271.80284375 |
| transcript.pyannote[61].end |
272.39346875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
273.10221875 |
| transcript.pyannote[62].end |
279.22784375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
278.24909375 |
| transcript.pyannote[63].end |
285.89346875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
285.96096875 |
| transcript.pyannote[64].end |
293.20034375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
293.43659375 |
| transcript.pyannote[65].end |
309.88971875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
308.62409375 |
| transcript.pyannote[66].end |
321.88784375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
310.26096875 |
| transcript.pyannote[67].end |
310.86846875 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
311.29034375 |
| transcript.pyannote[68].end |
314.20971875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
315.22221875 |
| transcript.pyannote[69].end |
317.06159375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
322.46159375 |
| transcript.pyannote[70].end |
330.81471875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
330.20721875 |
| transcript.pyannote[71].end |
336.88971875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
337.26096875 |
| transcript.pyannote[72].end |
339.60659375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
340.19721875 |
| transcript.pyannote[73].end |
340.56846875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
340.68659375 |
| transcript.pyannote[74].end |
370.47096875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
347.52096875 |
| transcript.pyannote[75].end |
348.12846875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
361.99971875 |
| transcript.pyannote[76].end |
364.95284375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
365.61096875 |
| transcript.pyannote[77].end |
366.03284375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
367.83846875 |
| transcript.pyannote[78].end |
368.15909375 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
369.01971875 |
| transcript.pyannote[79].end |
372.69846875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
371.70284375 |
| transcript.pyannote[80].end |
406.63409375 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
392.03721875 |
| transcript.pyannote[81].end |
392.52659375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
403.12409375 |
| transcript.pyannote[82].end |
403.57971875 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
405.52034375 |
| transcript.pyannote[83].end |
412.08471875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
412.42221875 |
| transcript.pyannote[84].end |
415.27409375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
415.61159375 |
| transcript.pyannote[85].end |
420.03284375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
415.66221875 |
| transcript.pyannote[86].end |
416.11784375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
418.31159375 |
| transcript.pyannote[87].end |
418.98659375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
420.21846875 |
| transcript.pyannote[88].end |
422.05784375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
422.17596875 |
| transcript.pyannote[89].end |
422.59784375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
423.17159375 |
| transcript.pyannote[90].end |
427.55909375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
427.79534375 |
| transcript.pyannote[91].end |
455.53784375 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
455.62221875 |
| transcript.pyannote[92].end |
457.68096875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
457.93409375 |
| transcript.pyannote[93].end |
459.28409375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
459.90846875 |
| transcript.pyannote[94].end |
475.58534375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
474.64034375 |
| transcript.pyannote[95].end |
475.97346875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
475.93971875 |
| transcript.pyannote[96].end |
491.81909375 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
477.08721875 |
| transcript.pyannote[97].end |
477.44159375 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
483.60096875 |
| transcript.pyannote[98].end |
484.20846875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
492.47721875 |
| transcript.pyannote[99].end |
514.85346875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
501.67409375 |
| transcript.pyannote[100].end |
502.01159375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
515.32596875 |
| transcript.pyannote[101].end |
516.99659375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
517.33409375 |
| transcript.pyannote[102].end |
540.79034375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
540.38534375 |
| transcript.pyannote[103].end |
543.69284375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
543.11909375 |
| transcript.pyannote[104].end |
544.03034375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
543.92909375 |
| transcript.pyannote[105].end |
559.42034375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
545.63346875 |
| transcript.pyannote[106].end |
546.12284375 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
547.43909375 |
| transcript.pyannote[107].end |
548.97471875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
553.91909375 |
| transcript.pyannote[108].end |
554.37471875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
555.45471875 |
| transcript.pyannote[109].end |
555.99471875 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
558.28971875 |
| transcript.pyannote[110].end |
558.77909375 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
559.15034375 |
| transcript.pyannote[111].end |
559.57221875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
559.47096875 |
| transcript.pyannote[112].end |
561.47909375 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
560.97284375 |
| transcript.pyannote[113].end |
570.11909375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
568.00971875 |
| transcript.pyannote[114].end |
569.02221875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
569.96721875 |
| transcript.pyannote[115].end |
579.50159375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
571.28346875 |
| transcript.pyannote[116].end |
572.44784375 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
573.19034375 |
| transcript.pyannote[117].end |
573.69659375 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
578.94471875 |
| transcript.pyannote[118].end |
579.33284375 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
579.97409375 |
| transcript.pyannote[119].end |
581.08784375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
581.30721875 |
| transcript.pyannote[120].end |
582.97784375 |
| transcript.whisperx[0].start |
3.181 |
| transcript.whisperx[0].end |
7.465 |
| transcript.whisperx[0].text |
這位主席 陽泉發言 邀請部長我們請部長 謝謝 |
| transcript.whisperx[1].start |
10.789 |
| transcript.whisperx[1].end |
36.946 |
| transcript.whisperx[1].text |
來 部長好 部長我們今天針對於我們的農民退休儲金制度的設計那在整個保障農民晚年生活的時候呢這個農民退休儲金條例第七條的分擔比例是農民跟農業部辦一個負責各自那但是我們這幾年來的成效只有四成 |
| transcript.whisperx[2].start |
37.861 |
| transcript.whisperx[2].end |
44.255 |
| transcript.whisperx[2].text |
台北賣到五十萬四十五萬而已對 那有好的制度為什麼人家不要用 |
| transcript.whisperx[3].start |
45.359 |
| transcript.whisperx[3].end |
67.665 |
| transcript.whisperx[3].text |
也就是說制度裡面還有調整的空間制度裡面還有調整空間因此本席也提出修正條例第七條的部分也就是將前向農民及主管機關第三條第一線共同提增的金額因合併計算為提繳總額由主管機關另給10% 60%農民40%的比例來分擔你的看法呢 |
| transcript.whisperx[4].start |
73.232 |
| transcript.whisperx[4].end |
101.323 |
| transcript.whisperx[4].text |
我跟委員報告就是基本上我們在送到行政院的版本也是用這樣的一個方式在保障不便的情況之下政府多出負擔一點就是百分之六十那謝謝你 也是同意那你們什麼時候送來我們都已經在審了這裡尋答了我已經報告就是我們已經有我親自已經跟院長報告了好幾次了然後現在版本也在行政院就在行政院的院會通過以後就可以送出來什麼時候要通過 |
| transcript.whisperx[5].start |
102.591 |
| transcript.whisperx[5].end |
120.485 |
| transcript.whisperx[5].text |
因為我們已經在審了你這個會期會不會送進來送進來邊緣討論啊這個會期我的目標就是這個會期一定要送進來不是一定要送進來我們一定要讓他通過啊這個我知道所以我會再跟行政院反映是不是能夠儘速的安排到院會裡面去 |
| transcript.whisperx[6].start |
120.865 |
| transcript.whisperx[6].end |
136.076 |
| transcript.whisperx[6].text |
你所謂的禁訴我們希望可以看到落實的行動因為儲金制度的意願跟它的普及率跟保障農民的權益這是非常的重要好不容易我們的精神目標都一樣 |
| transcript.whisperx[7].start |
136.936 |
| transcript.whisperx[7].end |
163.056 |
| transcript.whisperx[7].text |
也就是把行政部門的加10% 60%農民的部分40%能夠讓我們農民真正來運用落實到政府的這個制度不要只有那個三四成現在四成多我們希望能夠普及率好不容易達成共識請你一定要趕快去追出來那接下來本席要請問也就是老農年金的問題老農年金本席也提案 |
| transcript.whisperx[8].start |
164.278 |
| transcript.whisperx[8].end |
173.176 |
| transcript.whisperx[8].text |
本縣提案現在是多少錢啊 排戶的額度是多少8110那個排戶的部分所得是50萬然後那個自住房屋的話400萬然後財產的話是500萬 |
| transcript.whisperx[9].start |
176.626 |
| transcript.whisperx[9].end |
202.277 |
| transcript.whisperx[9].text |
對啊 財產的部分500萬本席有提案希望能夠提高到800萬我們已經附委進來了 也在討論中是那這個部長因為十部我與每一個樣態不一樣 情境不一樣縣市合併之後高雄市 台南市 台中市 桃園市 新北深閣都有這個問題 |
| transcript.whisperx[10].start |
203.718 |
| transcript.whisperx[10].end |
225.274 |
| transcript.whisperx[10].text |
我們合併了之後 它的土地自然增長我們的鄉親、長官、農民說土地出不來我真的沒有辦法生活但是是政府的公告限值、公告地價自動提升升格為直轄市 區域改變它的樣態我完全都沒有動 |
| transcript.whisperx[11].start |
226.835 |
| transcript.whisperx[11].end |
249.724 |
| transcript.whisperx[11].text |
部長你有沒有思考到這個問題有我跟委員報告在這次我們送到行政院的版本裡面就考慮到這一點就是土地公告限制從100年開始都沒調到目前為止已經提高了64.78%所以我們在這一次的排富條款裡面我們也會針對就是所謂的土地公告限制做這些調整也會把我們的所得 |
| transcript.whisperx[12].start |
250.484 |
| transcript.whisperx[12].end |
269.095 |
| transcript.whisperx[12].text |
也會把我們的財產的部分一併把它提高另外在額度上面來講現在是每四年調一次嘛對不對但是這四年中如果CPI調整的過漲幅過高的時候我們希望說有一個遊戲規則在這個四年之內如果達到某一個啟動的條件的話我們也會來做這些 |
| transcript.whisperx[13].start |
270.656 |
| transcript.whisperx[13].end |
293.027 |
| transcript.whisperx[13].text |
額度的上限也超過的時候 我們就知道立即可以提升所以這個部分我們也送到行政院 也是要等到院會通過那剛剛好啊 你財產的部分 現在是500萬嘛我們是提升到通本的部分 地價這個從100年到現在 那大概是6成多 將近7成嘛所以本席提案的800萬 你應該要支持啊 |
| transcript.whisperx[14].start |
294.248 |
| transcript.whisperx[14].end |
320.087 |
| transcript.whisperx[14].text |
我應該這麼講喔我們在考慮這個除了土地公庫限制的時候我特別跟行政院反應就是說其實農民辛苦了一輩子他買房子跟一般人買房子的概念是不一樣的而且這個房子不能變不會不容易去變現這是我自己在做的嘛我的真正農民生活所需他不是用這個去賺利差嘛所以你要實際上照顧人家而且整個因為這個 |
| transcript.whisperx[15].start |
323.81 |
| transcript.whisperx[15].end |
339.4 |
| transcript.whisperx[15].text |
這個區域的範圍提升嘛尤其是縣市合併的直轄市它的落差會更大了解 這個我們都有考慮所以我們提的版本我相信就是如果願意通過的話應該會獲得委員的支持啦 |
| transcript.whisperx[16].start |
340.267 |
| transcript.whisperx[16].end |
362.077 |
| transcript.whisperx[16].text |
好 所以我們一個結論也就老人年金的部分排富不管你的收入所得或者是你的財產的部分應該要依照這幾十一二十年來沒有調整比例給他調回來真正的尊重農民照顧農民因為農民這些財產他並不是去商業行為賺立場農業部應該要全力的 |
| transcript.whisperx[17].start |
366.799 |
| transcript.whisperx[17].end |
384.911 |
| transcript.whisperx[17].text |
來照顧我們的農民我想部分藍綠白的我也跟院長報告 院長也蠻支持的好 既然支持我們就要繳成要落實來 接下來本席跟你討論非洲豬瘟的這個事情那你現在公布全面禁止飼養豬魚的養豬那給予最長時間是一年的轉型期那你是到明年的12月31號那你現在說你有一個方案來補助 |
| transcript.whisperx[18].start |
395.498 |
| transcript.whisperx[18].end |
411.18 |
| transcript.whisperx[18].text |
也就是前半年一個月一頭租600塊那等於是最高是3600塊是不是這樣子來接受轉型是不是如此這比110年在轉型的時候2400塊又足足提高了1200塊 |
| transcript.whisperx[19].start |
412.472 |
| transcript.whisperx[19].end |
427.084 |
| transcript.whisperx[19].text |
但是我們台灣有幾項比較特別的也就是我們的蝸豬肉是全世界最有名蝸豬肉就是吃烹煮蒸煮熟了之後吃烹煮蝸豬肉最好吃是不是這樣子 |
| transcript.whisperx[20].start |
427.85 |
| transcript.whisperx[20].end |
457.09 |
| transcript.whisperx[20].text |
我跟委員報告黑豬分為大黑豬跟土黑豬那現在也有一些用飼料養的他的風味其實也不錯所以我們現在成立一個輔導團隊就是用我們敘事所的這些專門給黑豬的改良式的配方然後去提供他去做這些轉飼料的這些配方那這個部分他的成本也不會比一般的飼料還貴他比一般的飼料還便宜那我們會成立一個輔導團隊去協助我們的黑毛豬轉型 |
| transcript.whisperx[21].start |
457.99 |
| transcript.whisperx[21].end |
475.395 |
| transcript.whisperx[21].text |
本席也就是說不管什麼樣的方式在整個轉型當中必須要透明化的讓養殖業者他非常的清楚而且是協助他而且還保護我們阿滴阿嬤的世界之冠的一個美運你們是朝這個目標 |
| transcript.whisperx[22].start |
476.335 |
| transcript.whisperx[22].end |
491.634 |
| transcript.whisperx[22].text |
這個非常的重要所以你的專家學者怎麼去做我們也希望可以看到你的美麗成果出來那最後一個議題我把這個課題給你也就是無人機的部分大家現在知道我們的農業人力不足 |
| transcript.whisperx[23].start |
492.535 |
| transcript.whisperx[23].end |
513.732 |
| transcript.whisperx[23].text |
那在這樣的情況之下呢 無人機必須AI系統派上用場可是我們碰到場域的問題 有很多也沒辦法 那這怎麼辦所以農業部是不是應該要去做一個跟政府橫向的一個聯繫怎麼樣讓農民可以更便捷 解決他人力不足的這個困境 |
| transcript.whisperx[24].start |
515.393 |
| transcript.whisperx[24].end |
540.582 |
| transcript.whisperx[24].text |
我跟委員報告就是無人機的那個飛航的場域我們大概已經在今年的10月多已經確認了所有的資安場域的安全性然後包括一些禁飛區啦因為在機場那個禁飛區都已經劃定了然後在12月17號我們會對業者辦說明會然後大概在明年1月初的話我們就會開放我們的RTK讓他去使用 |
| transcript.whisperx[25].start |
541.882 |
| transcript.whisperx[25].end |
558.827 |
| transcript.whisperx[25].text |
12月就這個月的17號會開放說明會我們的基本場域在哪邊因為農民非常的善良他們也希望能夠明確告訴他們他們的作為場域範圍讓他們能夠安心的來使用 |
| transcript.whisperx[26].start |
559.888 |
| transcript.whisperx[26].end |
582.81 |
| transcript.whisperx[26].text |
12月17号会做说明会我们明年初的话我们就会全面开放这个RTK让他们来申请因为它的定位精准非常精准到几公分避免它的林田污染必须AI的体系来协助我们的农民他们人力缺少以及效能都能够提升好谢谢委员谢谢杨琼英委员 |