IVOD_ID |
162034 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162034 |
日期 |
2025-05-28 |
會議資料.會議代碼 |
委員會-11-3-19-15 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第15次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
15 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第3會期經濟委員會第15次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-28T12:09:16+08:00 |
結束時間 |
2025-05-28T12:21:38+08:00 |
影片長度 |
00:12:22 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f24cd191806ec682c361b5ee1b3bf308d2ea3426710e0a50eed19376995a466ca645ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
蔡易餘 |
委員發言時間 |
12:09:16 - 12:21:38 |
會議時間 |
2025-05-28T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第15次全體委員會議(事由:審查:
一、本院委員謝衣鳯等16人擬具「農民退休儲金條例第七條條文修正草案」案。
二、本院委員郭國文等17人擬具「農民退休儲金條例第七條條文修正草案」案。(詢答)) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
10.47659375 |
transcript.pyannote[0].end |
13.68284375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
13.80096875 |
transcript.pyannote[1].end |
14.34096875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
21.56346875 |
transcript.pyannote[2].end |
22.06971875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
22.50846875 |
transcript.pyannote[3].end |
23.35221875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
23.97659375 |
transcript.pyannote[4].end |
27.82409375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
28.19534375 |
transcript.pyannote[5].end |
29.07284375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
29.49471875 |
transcript.pyannote[6].end |
43.24784375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
43.82159375 |
transcript.pyannote[7].end |
45.05346875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
45.50909375 |
transcript.pyannote[8].end |
48.58034375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
48.91784375 |
transcript.pyannote[9].end |
50.63909375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
51.11159375 |
transcript.pyannote[10].end |
55.36409375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
55.85346875 |
transcript.pyannote[11].end |
59.26221875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
59.90346875 |
transcript.pyannote[12].end |
65.13471875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
65.23596875 |
transcript.pyannote[13].end |
97.93971875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
67.26096875 |
transcript.pyannote[14].end |
67.36221875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
97.95659375 |
transcript.pyannote[15].end |
97.99034375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
98.09159375 |
transcript.pyannote[16].end |
102.10784375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
102.22596875 |
transcript.pyannote[17].end |
106.34346875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
106.84971875 |
transcript.pyannote[18].end |
116.43471875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
117.14346875 |
transcript.pyannote[19].end |
118.54409375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
119.33721875 |
transcript.pyannote[20].end |
121.53096875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
122.35784375 |
transcript.pyannote[21].end |
124.41659375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
125.14221875 |
transcript.pyannote[22].end |
130.42409375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
130.99784375 |
transcript.pyannote[23].end |
132.58409375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
133.30971875 |
transcript.pyannote[24].end |
137.22471875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
137.30909375 |
transcript.pyannote[25].end |
139.57034375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
139.73909375 |
transcript.pyannote[26].end |
143.97471875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
144.22784375 |
transcript.pyannote[27].end |
144.56534375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
145.03784375 |
transcript.pyannote[28].end |
150.25221875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
150.82596875 |
transcript.pyannote[29].end |
151.63596875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
152.22659375 |
transcript.pyannote[30].end |
153.28971875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
154.21784375 |
transcript.pyannote[31].end |
154.75784375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
155.29784375 |
transcript.pyannote[32].end |
157.17096875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
157.52534375 |
transcript.pyannote[33].end |
158.90909375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
159.61784375 |
transcript.pyannote[34].end |
160.17471875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
161.05221875 |
transcript.pyannote[35].end |
162.08159375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
162.36846875 |
transcript.pyannote[36].end |
175.51409375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
175.96971875 |
transcript.pyannote[37].end |
177.82596875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
178.28159375 |
transcript.pyannote[38].end |
179.19284375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
179.19284375 |
transcript.pyannote[39].end |
182.66909375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
179.31096875 |
transcript.pyannote[40].end |
179.47971875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
183.20909375 |
transcript.pyannote[41].end |
188.37284375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
188.77784375 |
transcript.pyannote[42].end |
210.52971875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
208.69034375 |
transcript.pyannote[43].end |
208.72409375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
209.93909375 |
transcript.pyannote[44].end |
210.37784375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
210.52971875 |
transcript.pyannote[45].end |
210.59721875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
210.59721875 |
transcript.pyannote[46].end |
210.85034375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
210.85034375 |
transcript.pyannote[47].end |
218.68034375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
211.01909375 |
transcript.pyannote[48].end |
213.95534375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
216.77346875 |
transcript.pyannote[49].end |
217.16159375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
218.68034375 |
transcript.pyannote[50].end |
219.10221875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
219.05159375 |
transcript.pyannote[51].end |
219.06846875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
219.08534375 |
transcript.pyannote[52].end |
220.84034375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
220.84034375 |
transcript.pyannote[53].end |
221.22846875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
221.39721875 |
transcript.pyannote[54].end |
223.05096875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
222.64596875 |
transcript.pyannote[55].end |
236.26409375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
233.66534375 |
transcript.pyannote[56].end |
243.50346875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
237.68159375 |
transcript.pyannote[57].end |
239.65596875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
240.02721875 |
transcript.pyannote[58].end |
240.78659375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
241.25909375 |
transcript.pyannote[59].end |
242.50784375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
243.11534375 |
transcript.pyannote[60].end |
247.33409375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
245.84909375 |
transcript.pyannote[61].end |
261.44159375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
249.88221875 |
transcript.pyannote[62].end |
250.27034375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
254.65784375 |
transcript.pyannote[63].end |
255.21471875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
260.71596875 |
transcript.pyannote[64].end |
261.34034375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
261.84659375 |
transcript.pyannote[65].end |
272.62971875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
273.38909375 |
transcript.pyannote[66].end |
274.46909375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
275.44784375 |
transcript.pyannote[67].end |
282.23159375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
283.27784375 |
transcript.pyannote[68].end |
297.43596875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
297.90846875 |
transcript.pyannote[69].end |
301.63784375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
301.90784375 |
transcript.pyannote[70].end |
306.58221875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
306.73409375 |
transcript.pyannote[71].end |
307.07159375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
307.79721875 |
transcript.pyannote[72].end |
310.85159375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
311.32409375 |
transcript.pyannote[73].end |
317.01096875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
317.17971875 |
transcript.pyannote[74].end |
318.74909375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
319.28909375 |
transcript.pyannote[75].end |
353.95034375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
354.27096875 |
transcript.pyannote[76].end |
356.19471875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
356.85284375 |
transcript.pyannote[77].end |
374.09909375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
374.75721875 |
transcript.pyannote[78].end |
383.49846875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
383.95409375 |
transcript.pyannote[79].end |
391.09221875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
391.39596875 |
transcript.pyannote[80].end |
392.61096875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
393.25221875 |
transcript.pyannote[81].end |
398.02784375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
398.02784375 |
transcript.pyannote[82].end |
398.04471875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
398.60159375 |
transcript.pyannote[83].end |
398.68596875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
398.68596875 |
transcript.pyannote[84].end |
404.44034375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
404.71034375 |
transcript.pyannote[85].end |
416.30346875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
413.06346875 |
transcript.pyannote[86].end |
416.21909375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
416.33721875 |
transcript.pyannote[87].end |
422.96909375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
416.53971875 |
transcript.pyannote[88].end |
417.60284375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
418.34534375 |
transcript.pyannote[89].end |
419.49284375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
420.20159375 |
transcript.pyannote[90].end |
435.49034375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
423.98159375 |
transcript.pyannote[91].end |
424.33596875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
425.51721875 |
transcript.pyannote[92].end |
425.87159375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
427.18784375 |
transcript.pyannote[93].end |
427.84596875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
432.82409375 |
transcript.pyannote[94].end |
433.41471875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
434.08971875 |
transcript.pyannote[95].end |
434.74784375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
435.08534375 |
transcript.pyannote[96].end |
435.47346875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
435.49034375 |
transcript.pyannote[97].end |
435.72659375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
435.72659375 |
transcript.pyannote[98].end |
452.77034375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
443.01659375 |
transcript.pyannote[99].end |
443.53971875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
448.21409375 |
transcript.pyannote[100].end |
448.48409375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
453.37784375 |
transcript.pyannote[101].end |
456.12846875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
456.44909375 |
transcript.pyannote[102].end |
469.61159375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
470.10096875 |
transcript.pyannote[103].end |
473.54346875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
474.16784375 |
transcript.pyannote[104].end |
489.96284375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
490.48596875 |
transcript.pyannote[105].end |
491.93721875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
492.42659375 |
transcript.pyannote[106].end |
494.95784375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
495.12659375 |
transcript.pyannote[107].end |
499.78409375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
500.34096875 |
transcript.pyannote[108].end |
502.78784375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
503.12534375 |
transcript.pyannote[109].end |
506.60159375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
507.27659375 |
transcript.pyannote[110].end |
508.23846875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
508.54221875 |
transcript.pyannote[111].end |
511.71471875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
510.83721875 |
transcript.pyannote[112].end |
512.30534375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
512.30534375 |
transcript.pyannote[113].end |
513.52034375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
513.52034375 |
transcript.pyannote[114].end |
513.90846875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
513.90846875 |
transcript.pyannote[115].end |
515.91659375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
516.37221875 |
transcript.pyannote[116].end |
531.50909375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
518.48159375 |
transcript.pyannote[117].end |
519.98346875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
522.81846875 |
transcript.pyannote[118].end |
522.90284375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
522.93659375 |
transcript.pyannote[119].end |
523.07159375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
531.50909375 |
transcript.pyannote[120].end |
531.88034375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
531.88034375 |
transcript.pyannote[121].end |
544.90784375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
545.29596875 |
transcript.pyannote[122].end |
562.94721875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
563.58846875 |
transcript.pyannote[123].end |
564.46596875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
564.75284375 |
transcript.pyannote[124].end |
568.61721875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
568.71846875 |
transcript.pyannote[125].end |
574.27034375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
574.70909375 |
transcript.pyannote[126].end |
583.36596875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
579.02909375 |
transcript.pyannote[127].end |
579.45096875 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
580.64909375 |
transcript.pyannote[128].end |
593.92971875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
584.42909375 |
transcript.pyannote[129].end |
585.74534375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
590.01471875 |
transcript.pyannote[130].end |
590.31846875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
591.90471875 |
transcript.pyannote[131].end |
592.03971875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
593.64284375 |
transcript.pyannote[132].end |
597.76034375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
598.19909375 |
transcript.pyannote[133].end |
602.87346875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
603.07596875 |
transcript.pyannote[134].end |
608.66159375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
608.96534375 |
transcript.pyannote[135].end |
611.96909375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
611.96909375 |
transcript.pyannote[136].end |
625.60409375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
619.30971875 |
transcript.pyannote[137].end |
619.66409375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
625.60409375 |
transcript.pyannote[138].end |
633.24846875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
634.56471875 |
transcript.pyannote[139].end |
642.93471875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
638.31096875 |
transcript.pyannote[140].end |
638.68221875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
640.04909375 |
transcript.pyannote[141].end |
642.73221875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
642.78284375 |
transcript.pyannote[142].end |
642.79971875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
643.17096875 |
transcript.pyannote[143].end |
643.84596875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
644.25096875 |
transcript.pyannote[144].end |
650.96721875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
651.50721875 |
transcript.pyannote[145].end |
663.74159375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
659.03346875 |
transcript.pyannote[146].end |
659.72534375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
661.46346875 |
transcript.pyannote[147].end |
662.22284375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
662.56034375 |
transcript.pyannote[148].end |
663.10034375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
663.85971875 |
transcript.pyannote[149].end |
669.31034375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
665.98596875 |
transcript.pyannote[150].end |
666.07034375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
669.31034375 |
transcript.pyannote[151].end |
669.73221875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
669.66471875 |
transcript.pyannote[152].end |
679.70534375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
676.98846875 |
transcript.pyannote[153].end |
677.54534375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
679.70534375 |
transcript.pyannote[154].end |
679.77284375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
680.04284375 |
transcript.pyannote[155].end |
680.07659375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
680.07659375 |
transcript.pyannote[156].end |
680.12721875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
680.12721875 |
transcript.pyannote[157].end |
693.88034375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
680.17784375 |
transcript.pyannote[158].end |
681.81471875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
682.55721875 |
transcript.pyannote[159].end |
685.98284375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
686.26971875 |
transcript.pyannote[160].end |
688.80096875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
692.93534375 |
transcript.pyannote[161].end |
708.27471875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
694.11659375 |
transcript.pyannote[162].end |
694.67346875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
701.67659375 |
transcript.pyannote[163].end |
702.03096875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
708.00471875 |
transcript.pyannote[164].end |
722.17971875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
710.18159375 |
transcript.pyannote[165].end |
711.68346875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
711.70034375 |
transcript.pyannote[166].end |
712.45971875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
714.70409375 |
transcript.pyannote[167].end |
717.25221875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
718.99034375 |
transcript.pyannote[168].end |
719.73284375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
720.27284375 |
transcript.pyannote[169].end |
724.49159375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
722.29784375 |
transcript.pyannote[170].end |
722.85471875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
723.71534375 |
transcript.pyannote[171].end |
739.12221875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
724.67721875 |
transcript.pyannote[172].end |
733.28346875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
733.30034375 |
transcript.pyannote[173].end |
736.01721875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
736.37159375 |
transcript.pyannote[174].end |
736.70909375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
737.16471875 |
transcript.pyannote[175].end |
737.35034375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
739.45971875 |
transcript.pyannote[176].end |
739.93221875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
740.25284375 |
transcript.pyannote[177].end |
740.70846875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
740.70846875 |
transcript.pyannote[178].end |
741.97409375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
741.97409375 |
transcript.pyannote[179].end |
742.12596875 |
transcript.whisperx[0].start |
11.09 |
transcript.whisperx[0].end |
14.154 |
transcript.whisperx[0].text |
謝謝詹委那我們是不是有請農業部部長陳部長委員好部長好 |
transcript.whisperx[1].start |
24.128 |
transcript.whisperx[1].end |
47.183 |
transcript.whisperx[1].text |
部長我想透過今天質詢來跟部長聊一下阿里山鐵路阿里山鐵路是農業部管不是交通部是我們的林保署的這個林鐵處主管這一個阿里山的鐵路那這個阿里山鐵路他也被紐約時報2025年推薦全球最值得去的52個地點 |
transcript.whisperx[2].start |
49.955 |
transcript.whisperx[2].end |
58.87 |
transcript.whisperx[2].text |
52個聖地之一那甚至 紐約時報說搭乘古老車廂進入昌裕的高山這個就是他們的一個介紹 |
transcript.whisperx[3].start |
59.963 |
transcript.whisperx[3].end |
85.436 |
transcript.whisperx[3].text |
那我們做這一條阿里山鐵路那現在林鐵處也很用心他還打造了新的車廂一個叫做福生號一個叫做喜悅號那當然他是委託給旅行社來管理所以他有獨特的一個管理方式那至少新的車廂跟傳統的一個車廂有這個新舊的一個感受所以你搭怎樣的車廂去阿里山 |
transcript.whisperx[4].start |
86.657 |
transcript.whisperx[4].end |
106.159 |
transcript.whisperx[4].text |
就會有不同的感受但是我要跟部長說因為我們在兩個禮拜前我們去阿里山我們也是坐福生號去做考察那我想跟部長說我有幾個感受第一個就是說我們在拼國際旅客的這件事情力道不足 |
transcript.whisperx[5].start |
106.9 |
transcript.whisperx[5].end |
129.759 |
transcript.whisperx[5].text |
那怎樣的力道不足呢?我想要跟部長分享一下在113年,也就是2024年,去年的時候來阿里山的遊客日本人佔了131萬人韓國人有100萬人那剩下印度、馬來西亞,甚至是新加坡,新加坡還蠻多的,有40萬人 |
transcript.whisperx[6].start |
131.055 |
transcript.whisperx[6].end |
160.004 |
transcript.whisperx[6].text |
那如果既然這樣的話明明有這麼多外國的旅客願意來到坐阿里山鐵路然後來阿里山旅遊的話但是我們看到那些告示牌目前有的就只有中文跟英文是就是有中文跟英文那你相對的喔你去日本你去看日本的旅遊景點我有給大家注意差不多都四種語言就是日文他們的日文中文英文韓文 |
transcript.whisperx[7].start |
161.124 |
transcript.whisperx[7].end |
177.414 |
transcript.whisperx[7].text |
你的四種語言所以基本上你光是那一種告示的你語言的一個展現就可以讓這一些外國的旅客他們覺得親近覺得來這裡玩是很容易透過一些告示他就知道他要去哪裡所以我覺得這部分我們可以來加強 |
transcript.whisperx[8].start |
178.354 |
transcript.whisperx[8].end |
199.842 |
transcript.whisperx[8].text |
部長,我想非常謝謝委員的提醒,那其實阿里山我覺得是一個非常值得國人去的,也非常值得國外的旅客。那有關於語言上面來講,除了您剛才講的這些,不管在折頁或是在導覽的解說,可以有更多的語言方面,其實我已經跟林業百會署特別提到, |
transcript.whisperx[9].start |
200.382 |
transcript.whisperx[9].end |
220.924 |
transcript.whisperx[9].text |
有很多景點我們手機有沒有一照的時候可以跳出它的後面的整個背景說明那這樣的話又更能多元化部長你們的官方網站有有日文官方網站有很多景點的說明你看林保署他們做的這一本哇這個日文版的精裝版非常的漂亮然後裡面都是日文是 |
transcript.whisperx[10].start |
222.185 |
transcript.whisperx[10].end |
249.941 |
transcript.whisperx[10].text |
這本也做得很好我現在就是說進到原子裡面去遊覽的時候很多景點都說明有一些用QR code的方式能夠用手機掃描帶出不同國家語言的版本這樣的話讓旅客更能夠了解這個是一個方式但是我覺得幾個基本語言我們一定會把它放進去我是覺得直接做硬體的告示是更好比方說你把日文放上去我覺得重要的那些多過語言的告示我想我們會再來做那你可以再透過APP然後讓其他的可能是 |
transcript.whisperx[11].start |
251.741 |
transcript.whisperx[11].end |
272.249 |
transcript.whisperx[11].text |
旅客相對比較少可是他們的語言也是需要所以我覺得這個都是說你要怎麼把它做到更親近讓大家更適合來旅遊那我在考察的時候我有找文化部來事實上文化部每一年他針對阿里山森林鐵路要進去聯合國的世界文化資產他們編了兩千萬 |
transcript.whisperx[12].start |
275.79 |
transcript.whisperx[12].end |
280.962 |
transcript.whisperx[12].text |
編了兩千萬那我跟部長說雖然這裡沒有辦法把文化錄叫來問但是我跟部長說這個兩千萬沒差錢 |
transcript.whisperx[13].start |
284.082 |
transcript.whisperx[13].end |
306.008 |
transcript.whisperx[13].text |
因為我們都知道台灣不是聯合國的會員國那你要進入世界文化資產的話就要在聯合國的這個文化的一個委員會要提案但是連提案的資格都沒有所以我要跟部長說在於阿里山鐵路要爭取世界文化遺產我們擁有最好的機會是怎樣就是因為這一個森林鐵路是日本人蓋的 |
transcript.whisperx[14].start |
307.847 |
transcript.whisperx[14].end |
325.607 |
transcript.whisperx[14].text |
日本人蓋這個森林潛入當年是為了運送木材現在我們把它轉型它變成一個觀光一個重要的觀光的火車我們應該跟日本合作由日本主動來申請世界文化遺產向聯合國申請跨國世界文化遺產 |
transcript.whisperx[15].start |
326.328 |
transcript.whisperx[15].end |
351.085 |
transcript.whisperx[15].text |
那為什麼會有所謂的跨國呢?我們知道阿里山鐵路過去把阿里山這裡的Hinoki載去日本所以包括日本明治神宮的大鳥居也是阿里山的Hinoki包括日本的法隆寺裡面的建築物也是阿里山的Hinoki還有包括在沖繩日本的這個首里城也是用阿里山的Hinoki |
transcript.whisperx[16].start |
357.049 |
transcript.whisperx[16].end |
373.26 |
transcript.whisperx[16].text |
幾乎都是過去這一條鐵路把它載到了日本所以你透過這樣整個檜木的一個文化的一個延伸跟這個鐵路現在這個鐵路比現在世界文化遺產在印度他的大吉嶺的高山鐵路他的高山鐵路 |
transcript.whisperx[17].start |
375.782 |
transcript.whisperx[17].end |
397.138 |
transcript.whisperx[17].text |
2100公尺 我們阿里山高山鐵路是從海平面40公尺直接攀升到2200多公尺 比它還要高所以我們更有資格變成世界文化遺產 但是我們卻卡在這個國際因素所以我們應該要跟日本合作 為日本來興慶讓我們可以叩關聯合國 然後讓阿里山鐵路變成世界文化遺產 |
transcript.whisperx[18].start |
399.73 |
transcript.whisperx[18].end |
414.801 |
transcript.whisperx[18].text |
謝謝委員這樣的一個建議我們會去評估它的可行性不過我要跟委員報告的就是在沒有加入世界遺產這是一件事情其實我們跟日本跟瑞士、印度、英國還有一些斯洛伐克等幾個國家有跟他的高山鐵路高山鐵路 |
transcript.whisperx[19].start |
416.642 |
transcript.whisperx[19].end |
434.997 |
transcript.whisperx[19].text |
我覺得透過這個方式 其實也讓更多人了解到台灣的安全我們跟日本的黑山鐵路嘛 跟瑞士的高山鐵路 都是這個叫姊妹鐵路這個都是我們努力的方向所以我現在要說的就是說 第一個整個阿里山旅遊 透過阿里山鐵路的旅遊它的告示應該要走國際化第二個 我們應該要嘗試的把它的 |
transcript.whisperx[20].start |
439.44 |
transcript.whisperx[20].end |
450.33 |
transcript.whisperx[20].text |
阿里山鐵路背後代表著歷史意涵跟文化意涵所以要大家更加的琢磨我們才有辦法來擴寬世界文化遺產好 這我們來努力好 然後來下一個問題一樣來講這個豬的問題啦豬的問題我覺得剛剛張委員質詢 雖然他人不在這邊但是我覺得 |
transcript.whisperx[21].start |
459.719 |
transcript.whisperx[21].end |
469.366 |
transcript.whisperx[21].text |
他這樣質詢對部長比較不公平因為主要整個食安也好整個檢疫的過程他就是一個用科學統計的一個計算嘛 |
transcript.whisperx[22].start |
490.74 |
transcript.whisperx[22].end |
496.623 |
transcript.whisperx[22].text |
但是部長我要跟你說,現在DMA介紹說獎金要一百塊,看似對豬農收益好,但是未必是這樣,因為最近不知道怎麼樣 |
transcript.whisperx[23].start |
507.33 |
transcript.whisperx[23].end |
531.197 |
transcript.whisperx[23].text |
那個Deeper,Deeper就是那個小豬仔小豬仔,他的死亡率有比較高價格很高,這個小豬仔價格很高咧最近整個Deeper新聞館,他們的抵控率感覺比較不夠所以死亡率又變高所以對豬農而言說,他這個97塊看起來有利潤的全部給他的Deeper吃牙 |
transcript.whisperx[24].start |
532.357 |
transcript.whisperx[24].end |
540.02 |
transcript.whisperx[24].text |
所以部長你有沒有注意到這一塊 那要怎麼樣去協助豬籠說 本來應該端午節這肉粽子要賣了 介紹應該要賺錢的時候 我這坡沒賺到 因為這坡的介紹太慢我跟委員 委員報告 現在的地價我們是根據市場機制 我們沒有特別去押它 |
transcript.whisperx[25].start |
551.525 |
transcript.whisperx[25].end |
573.963 |
transcript.whisperx[25].text |
那其中一個非常重要的有人說以前豬肉才70幾塊我說我們現在養豬的成本是越來越高包括飼料包括您剛才講的這些豬仔本身也價格越來越高我前幾天像昨天我也到豬場去了解現在有一些有關的下痢的疾病那這個部分我也請專家團在了解現在好像 |
transcript.whisperx[26].start |
574.804 |
transcript.whisperx[26].end |
585.691 |
transcript.whisperx[26].text |
那個死亡的比例有一點異常啦所以我們希望說這兩件事就綁在一起嘛死亡的比例有一點異常所以變成牠的地盤的成本高豬籠牠要取得這個小豬仔牠的成本就提高就吃掉了牠最後銷售的成本所以我說這個東西我們也要讓消費者知道其實我們基本上是一個很好的豬的台灣豬肉一個很好的豬的品質 |
transcript.whisperx[27].start |
603.163 |
transcript.whisperx[27].end |
618.831 |
transcript.whisperx[27].text |
那相對的在這個節慶的過程中這個價錢是一個合理的價錢不是說偏高啦這個部分我想我們也會做加強的一個說明好 那部長我再問最後一題就是5月19號的時候你跟我有說我們行政院接下來會討論嘉義的查改廠的一個進度那我想要請教部長說那討論的結論是怎樣呢 |
transcript.whisperx[28].start |
625.874 |
transcript.whisperx[28].end |
650.502 |
transcript.whisperx[28].text |
現在一個問題就是梅山蝦經過探勘它的地質不穩定所以變成說那個腸子又可能會產生一些變化地質的不穩定是怎樣不穩定以做探勘醫療可能會滑動啦所以是不夠水保不是水保就是本身地質的特性就容易滑動啦 |
transcript.whisperx[29].start |
651.582 |
transcript.whisperx[29].end |
677.33 |
transcript.whisperx[29].text |
所以會變成有一些你如果在這邊做廠的話會有一些困擾所以我也在請我們的查開廠這邊在做怎麼樣的規劃部長剛剛講這個問題就很大這個就是我那天您問了以後我請他們來然後他們也把最近的這些勘查的報告跟我講那我覺得那個我們不能說地質不穩定然後硬去蓋一個東西所以看看說有沒有辦法在我聽起來我抓 |
transcript.whisperx[30].start |
680.531 |
transcript.whisperx[30].end |
707.397 |
transcript.whisperx[30].text |
會緊張會煩惱我看我們要找一天來加以和我們縣政府這邊大家要討論一下因為現在整個嘉義的茶葉包括說我們現在甚至咖啡類我們目標不變但是現在就是說有沒有辦法先成立我們的試驗地先不要先看看用成株的或是什麼方式然後先把那個廠區先把它設起來看看可不可以用這樣的分階段來做 |
transcript.whisperx[31].start |
708.717 |
transcript.whisperx[31].end |
723.164 |
transcript.whisperx[31].text |
看起來現在有一點就要重頭因為你說如果來一塊地質不一定是不是涉及牽涉到又要找新的廠主還是怎樣這個問題就會變得說又跑回頭所以我覺得這顆零 我覺得你要花一點時間我們一起再跟委員來說明一下還是我經紀人會我排考察的方式可能麻煩部長你就要來不然這個問題這樣起來會變沒概念我瞭解好不好 不然你再找一座來我教他 大家來討論一下好不好 |
transcript.whisperx[32].start |
737.892 |
transcript.whisperx[32].end |
738.013 |
transcript.whisperx[32].text |
好 謝謝部長好 謝謝 |