| IVOD_ID |
166234 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/166234 |
| 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 |
2025-12-08T11:55:21+08:00 |
| 結束時間 |
2025-12-08T12:03:18+08:00 |
| 影片長度 |
00:07:57 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e238918248e277b3a0c77734f620889646ee6dd7c9e9cb52955b66d75a5d59688a5713b642961ecf5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
劉建國 |
| 委員發言時間 |
11:55:21 - 12:03:18 |
| 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_02 |
| transcript.pyannote[0].start |
0.57096875 |
| transcript.pyannote[0].end |
2.02221875 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
2.61284375 |
| transcript.pyannote[1].end |
2.98409375 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
3.91221875 |
| transcript.pyannote[2].end |
5.22846875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
11.08409375 |
| transcript.pyannote[3].end |
12.50159375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
12.58596875 |
| transcript.pyannote[4].end |
13.37909375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
14.18909375 |
| transcript.pyannote[5].end |
14.40846875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
14.76284375 |
| transcript.pyannote[6].end |
20.29784375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
20.60159375 |
| transcript.pyannote[7].end |
24.02721875 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
24.44909375 |
| transcript.pyannote[8].end |
30.03471875 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
30.32159375 |
| transcript.pyannote[9].end |
31.97534375 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
32.53221875 |
| transcript.pyannote[10].end |
33.02159375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
33.42659375 |
| transcript.pyannote[11].end |
34.69221875 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
35.43471875 |
| transcript.pyannote[12].end |
76.01909375 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
76.32284375 |
| transcript.pyannote[13].end |
103.45784375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
104.41971875 |
| transcript.pyannote[14].end |
105.02721875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
105.02721875 |
| transcript.pyannote[15].end |
150.84284375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
124.21409375 |
| transcript.pyannote[16].end |
124.24784375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
124.41659375 |
| transcript.pyannote[17].end |
124.53471875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
151.61909375 |
| transcript.pyannote[18].end |
158.97659375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
158.97659375 |
| transcript.pyannote[19].end |
183.78284375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
164.07284375 |
| transcript.pyannote[20].end |
164.52846875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
184.06971875 |
| transcript.pyannote[21].end |
198.12659375 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
198.43034375 |
| transcript.pyannote[22].end |
199.00409375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
199.49346875 |
| transcript.pyannote[23].end |
206.42909375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
206.64846875 |
| transcript.pyannote[24].end |
211.03596875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
211.03596875 |
| transcript.pyannote[25].end |
216.41909375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
216.50346875 |
| transcript.pyannote[26].end |
226.66221875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
226.83096875 |
| transcript.pyannote[27].end |
228.50159375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
229.19346875 |
| transcript.pyannote[28].end |
236.78721875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
237.09096875 |
| transcript.pyannote[29].end |
240.63471875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
240.76971875 |
| transcript.pyannote[30].end |
243.26721875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
244.46534375 |
| transcript.pyannote[31].end |
245.05596875 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
245.05596875 |
| transcript.pyannote[32].end |
245.10659375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
245.10659375 |
| transcript.pyannote[33].end |
245.49471875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
245.49471875 |
| transcript.pyannote[34].end |
245.51159375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
245.51159375 |
| transcript.pyannote[35].end |
245.96721875 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
245.96721875 |
| transcript.pyannote[36].end |
246.03471875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
246.03471875 |
| transcript.pyannote[37].end |
246.42284375 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
246.42284375 |
| transcript.pyannote[38].end |
253.49346875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
248.22846875 |
| transcript.pyannote[39].end |
249.17346875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
253.49346875 |
| transcript.pyannote[40].end |
253.88159375 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
253.86471875 |
| transcript.pyannote[41].end |
275.39721875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
276.56159375 |
| transcript.pyannote[42].end |
279.98721875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
280.24034375 |
| transcript.pyannote[43].end |
285.38721875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
285.70784375 |
| transcript.pyannote[44].end |
290.02784375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
290.02784375 |
| transcript.pyannote[45].end |
307.30784375 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
290.97284375 |
| transcript.pyannote[46].end |
292.35659375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
307.59471875 |
| transcript.pyannote[47].end |
309.65346875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
310.39596875 |
| transcript.pyannote[48].end |
317.75346875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
316.06596875 |
| transcript.pyannote[49].end |
316.30221875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
317.75346875 |
| transcript.pyannote[50].end |
358.03409375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
318.93471875 |
| transcript.pyannote[51].end |
319.91346875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
329.49846875 |
| transcript.pyannote[52].end |
330.05534375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
331.00034375 |
| transcript.pyannote[53].end |
331.15221875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
335.96159375 |
| transcript.pyannote[54].end |
336.34971875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
337.24409375 |
| transcript.pyannote[55].end |
338.20596875 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
358.11846875 |
| transcript.pyannote[56].end |
366.35346875 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
367.06221875 |
| transcript.pyannote[57].end |
369.89721875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
370.31909375 |
| transcript.pyannote[58].end |
401.87534375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
378.40221875 |
| transcript.pyannote[59].end |
378.63846875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
402.07784375 |
| transcript.pyannote[60].end |
406.88721875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
407.07284375 |
| transcript.pyannote[61].end |
407.96721875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
407.96721875 |
| transcript.pyannote[62].end |
408.89534375 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
409.28346875 |
| transcript.pyannote[63].end |
414.56534375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
414.56534375 |
| transcript.pyannote[64].end |
414.63284375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
415.03784375 |
| transcript.pyannote[65].end |
416.79284375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
416.87721875 |
| transcript.pyannote[66].end |
418.96971875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
419.40846875 |
| transcript.pyannote[67].end |
431.38971875 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
431.38971875 |
| transcript.pyannote[68].end |
433.21221875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
431.40659375 |
| transcript.pyannote[69].end |
431.81159375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
432.23346875 |
| transcript.pyannote[70].end |
432.57096875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
433.21221875 |
| transcript.pyannote[71].end |
433.31346875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
433.31346875 |
| transcript.pyannote[72].end |
444.14721875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
433.34721875 |
| transcript.pyannote[73].end |
435.99659375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
436.30034375 |
| transcript.pyannote[74].end |
436.90784375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
439.06784375 |
| transcript.pyannote[75].end |
439.28721875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
441.07596875 |
| transcript.pyannote[76].end |
441.44721875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
441.76784375 |
| transcript.pyannote[77].end |
441.97034375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
442.81409375 |
| transcript.pyannote[78].end |
443.18534375 |
| transcript.pyannote[79].speaker |
SPEAKER_02 |
| transcript.pyannote[79].start |
443.65784375 |
| transcript.pyannote[79].end |
444.67034375 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
444.85596875 |
| transcript.pyannote[80].end |
446.02034375 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
446.07096875 |
| transcript.pyannote[81].end |
446.10471875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
446.10471875 |
| transcript.pyannote[82].end |
447.74159375 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
447.40409375 |
| transcript.pyannote[83].end |
450.76221875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
450.64409375 |
| transcript.pyannote[84].end |
451.09971875 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
450.93096875 |
| transcript.pyannote[85].end |
456.61784375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
452.11221875 |
| transcript.pyannote[86].end |
453.22596875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
455.92596875 |
| transcript.pyannote[87].end |
461.54534375 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
459.50346875 |
| transcript.pyannote[88].end |
459.70596875 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
460.41471875 |
| transcript.pyannote[89].end |
461.89971875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
461.89971875 |
| transcript.pyannote[90].end |
461.93346875 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
461.93346875 |
| transcript.pyannote[91].end |
464.41409375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
462.35534375 |
| transcript.pyannote[92].end |
466.18596875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
465.03846875 |
| transcript.pyannote[93].end |
465.56159375 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
465.56159375 |
| transcript.pyannote[94].end |
469.44284375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
469.20659375 |
| transcript.pyannote[95].end |
474.80909375 |
| transcript.pyannote[96].speaker |
SPEAKER_02 |
| transcript.pyannote[96].start |
470.10096875 |
| transcript.pyannote[96].end |
470.40471875 |
| transcript.pyannote[97].speaker |
SPEAKER_02 |
| transcript.pyannote[97].start |
470.77596875 |
| transcript.pyannote[97].end |
470.82659375 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
470.86034375 |
| transcript.pyannote[98].end |
470.87721875 |
| transcript.pyannote[99].speaker |
SPEAKER_02 |
| transcript.pyannote[99].start |
470.97846875 |
| transcript.pyannote[99].end |
471.06284375 |
| transcript.pyannote[100].speaker |
SPEAKER_02 |
| transcript.pyannote[100].start |
472.00784375 |
| transcript.pyannote[100].end |
472.02471875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
472.02471875 |
| transcript.pyannote[101].end |
472.17659375 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
472.17659375 |
| transcript.pyannote[102].end |
472.53096875 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
472.53096875 |
| transcript.pyannote[103].end |
473.37471875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
473.54346875 |
| transcript.pyannote[104].end |
474.31971875 |
| transcript.pyannote[105].speaker |
SPEAKER_02 |
| transcript.pyannote[105].start |
475.18034375 |
| transcript.pyannote[105].end |
477.45846875 |
| transcript.pyannote[106].speaker |
SPEAKER_02 |
| transcript.pyannote[106].start |
477.64409375 |
| transcript.pyannote[106].end |
478.45409375 |
| transcript.whisperx[0].start |
0.789 |
| transcript.whisperx[0].end |
20.07 |
| transcript.whisperx[0].text |
劉建國委員質詢好謝謝召委也謝謝部長部長看這個報導應該就很清楚還是接續郭國文委員剛才的這樣的一個提醒不過我可能有 |
| transcript.whisperx[1].start |
20.748 |
| transcript.whisperx[1].end |
34.534 |
| transcript.whisperx[1].text |
不同的角度去解讀為什麼這個農民的這個農退除菁這個參與率為什麼這麼低我個人我先下結論第一個就是宣導不利第二個執行力道不足 |
| transcript.whisperx[2].start |
35.609 |
| transcript.whisperx[2].end |
55.502 |
| transcript.whisperx[2].text |
這是我個人的感覺已經從109年通過之後101年開始實施那已經快將近5年這個中間我們有曾經在這5年之中有沒有做過任何的一個重新盤整重新調查然後發掘到到底是什麼狀況為什麼要讓農民有更高的這樣一個保障 |
| transcript.whisperx[3].start |
56.082 |
| transcript.whisperx[3].end |
81.656 |
| transcript.whisperx[3].text |
然後可以來享用到這個新的一個政策對他們做這樣的鼓勵相對著我們也按照這個最低的這個老闆的基本工資的這樣的一個比例而且是在這幾年來一直有在增加對不對然後從小時候應該有調整到八次然後這個賴總統調整到一次那基本上這個是足以再增加相對的我們這個農民繳交的這樣的一個這個等於是分擔金來講 |
| transcript.whisperx[4].start |
85.858 |
| transcript.whisperx[4].end |
103.252 |
| transcript.whisperx[4].text |
政府也相對提撥應該鼓勵的讓人家積極的月曆來加入的這個成分會增加那為什麼會有這樣的審計報告老農今天是佔預算的四成然後被保險人提繳農退儲金僅三成 |
| transcript.whisperx[5].start |
104.588 |
| transcript.whisperx[5].end |
125.276 |
| transcript.whisperx[5].text |
不然我們簡單說明一下第一個跟委員報告老農經濟本身是65歲以上的然後退休儲金是65歲以下這兩個的分母是不一樣的所以相對的我們如果說用實際的從農者65歲以下又在實際從農的22萬所以我們現在的覆蓋率大概是將近五成這第一個說明第二個說明就是 |
| transcript.whisperx[6].start |
125.956 |
| transcript.whisperx[6].end |
149.776 |
| transcript.whisperx[6].text |
我們也實際的去跟農民去做問卷特別是青農現在只有24%而已最低的就是青農的這個區塊所以我們也實際去問他然後得到的一個結論就是說他們現在的收入不穩定而且做了非常多的貸款包括農機包括溫室的部分那他們認為說如果能夠讓他們的負擔減少的時候那他們投保的意願就會提高所以我們才會設計說好 |
| transcript.whisperx[7].start |
151.67 |
| transcript.whisperx[7].end |
165.708 |
| transcript.whisperx[7].text |
保障不變的情況之下政府多出一點6成然後農民少出一點4成我們才會設計這樣的一個機制那我必須要跟部長講喔今天我們就是要保我們是要鼓勵從農嘛對不對那更多的這個人來從事農業的工作 |
| transcript.whisperx[8].start |
168.531 |
| transcript.whisperx[8].end |
196.61 |
| transcript.whisperx[8].text |
我給部長看一個數據啦齁這也是從我們實施這個農民儲金之後的前後的一個差異部長可以看到原本農戶從一百零八年是七十七萬戶一零九七十五一一零七十六一一一七十六現在一二是七十五點九農業的居留人口一零八是五十五點九萬一零九是五十四點八萬減了將近一點一萬一一零的時候又剩下五十四點二萬減了六千一一的時候是五十三萬減了將近一點二萬一一的時候 |
| transcript.whisperx[9].start |
198.732 |
| transcript.whisperx[9].end |
214.027 |
| transcript.whisperx[9].text |
對照1.2對照1.1減了更多減了將近2.1萬人也就是說我們從1.1年開始實施農民儲菁體到現在從農業的就業人口是持續的快速的在銳減喔我跟委員報告1.4的話已經到了48萬7更低了 |
| transcript.whisperx[10].start |
217.071 |
| transcript.whisperx[10].end |
243.034 |
| transcript.whisperx[10].text |
對 所以相對我今天我看待的情況應該不是不是這個分攤的問題如果要去強調分攤問題那我建議絕對不能只有增加10%而已我們現在是按照基本工資的10分之一嘛 對不對通關可以交10分之一嘛 也可以交10分之一以下嘛好 你有去精算過他交10分之一前鋒的跟交10分之一以下的比例是多少 |
| transcript.whisperx[11].start |
244.48 |
| transcript.whisperx[11].end |
272.328 |
| transcript.whisperx[11].text |
我講的話大部分都交百分之十對嘛 多數都交百分之十嘛對不對好 那會交低於百分之十的比例應該是不高嘛是所以我要表達就是說當我們這個政策在保障農民讓農民從事農業有看到未來的保障有看到這個希望的情況之下但是那個比例一直拉不高起來所以如果陳魯剛才部長答覆我的因為他有買了農機具 他有相關的貸款所以再繳這條錢他覺得負擔蓋單的情況之下 |
| transcript.whisperx[12].start |
274.429 |
| transcript.whisperx[12].end |
279.078 |
| transcript.whisperx[12].text |
你幾十趴怎麼夠你幾十趴是多少 像現在是兩萬八千塊兩千八百幾塊對不對 我們的兩千八百幾塊變幾 |
| transcript.whisperx[13].start |
286.314 |
| transcript.whisperx[13].end |
306.198 |
| transcript.whisperx[13].text |
給他們負擔 把他們的10%給我們的新雙年 給他們給2、3百塊我跟委員報告喔 我現在設計一個月給2、3百塊 你覺得對這個農民 土金的產生誘因嗎沒有 我現在設計的就是說 你如果參加退職除菌的時候我的農業的補助我可以加碼 那個加碼像農機區的補助我可能可以加到3% 5%那這個讓他的經濟的負擔降低的 |
| transcript.whisperx[14].start |
310.499 |
| transcript.whisperx[14].end |
319.504 |
| transcript.whisperx[14].text |
效果會比你這邊 又多了好像3.7啊或是2.8這樣子 還多啦因為這下去就是比較多錢啦你如果可以這樣想當然是比較好啦但是你如果單純說這個 加這個10%他不會說 我覺得那個誘因是不夠啦因為是 一個月加2.3百塊而已嘛 |
| transcript.whisperx[15].start |
327.108 |
| transcript.whisperx[15].end |
335.274 |
| transcript.whisperx[15].text |
但是這就放鬆去走,這我絕對要支持嘛但是你剛才說有附帶的一些相關的一些獎勵我想才可以有辦法讓他們這個才有機會拉抬那個覆蓋率這是你來的行,這是你做副主委的時候嘛過去進步,你的年來去訂的這跟我們所有的政黨委員大家共同檢討出來一個很好一個情形我們就是要讓我們這些青龍 |
| transcript.whisperx[16].start |
352.307 |
| transcript.whisperx[16].end |
364.973 |
| transcript.whisperx[16].text |
甚至於四五歲的農民他來這個時間點加入都有可以增加他的保障真的讓他們可以匆匆農農啦從事這個農業工作得到更高更好的這樣保障情況之下但是這一個參與率 |
| transcript.whisperx[17].start |
369.017 |
| transcript.whisperx[17].end |
391.847 |
| transcript.whisperx[17].text |
這麼樣的一個程度相對的農業人口一直在下降我覺得這個要有很大的一個討論的空間然後應該要快速應變的這個作為才可以讓農民真正感受到當時的我們在推這個政策對他們真的有一定程度的保障他們願意主動也幫我們去宣導也幫我們去邀集 |
| transcript.whisperx[18].start |
393.128 |
| transcript.whisperx[18].end |
412.127 |
| transcript.whisperx[18].text |
讓真正的青龍也好 甚至樹勢的農民來享受到這樣的一個德政才是一個正確的 好的一個政策啦感謝魏委員的提醒啦 我想我們會朝這個方向來看怎麼樣再更精進啦好 這個是不是一個月內可以提出相關的精進的計畫給委員會來做參考 |
| transcript.whisperx[19].start |
414.085 |
| transcript.whisperx[19].end |
430.778 |
| transcript.whisperx[19].text |
我想我可以先提供就是說退休儲金的這些補助的措施有沒有的一個提升的一個設計法條的部分因為未來會進到主條審查那主條審查的話看委員的想法最後的想法是怎樣 |
| transcript.whisperx[20].start |
431.438 |
| transcript.whisperx[20].end |
453.578 |
| transcript.whisperx[20].text |
所以法條是一件事情 相關的獎勵 相關的獎勵這個我們希望能夠一個月之內會提供給你對 也可以給農業部相關的一些意見做參考嘛 對不對好 謝謝主席 謝謝部長應該是說 那些配套配套我會先提供對 你要先提供法 因為法進來了我們12月22號要審 你要一併 |
| transcript.whisperx[21].start |
454.438 |
| transcript.whisperx[21].end |
472.852 |
| transcript.whisperx[21].text |
然後進到我們委員會 下次討論的時候我會把配套也會 然後也會提供給委員這樣對 條文是一件事情 相關的配套 我覺得是重中之重了解 了解 謝謝 謝謝在12月22號同步把配套一樣 我會努力跟行政院爭取趕快進院會 好了謝謝 謝謝 好 謝謝主席劉建國委員 謝謝部長 謝謝 |