| IVOD_ID |
164256 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164256 |
| 日期 |
2025-10-16 |
| 會議資料.會議代碼 |
委員會-11-4-20-2 |
| 會議資料.會議代碼:str |
第11屆第4會期財政委員會第2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 |
2 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
20 |
| 會議資料.委員會代碼:str[0] |
財政委員會 |
| 會議資料.標題 |
第11屆第4會期財政委員會第2次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-10-16T10:21:19+08:00 |
| 結束時間 |
2025-10-16T10:33:47+08:00 |
| 影片長度 |
00:12:28 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6022c9f6d63255a3e68678d272b5e5449ba2ba11b833fe0ade83ed45c59a17eb48780db23e8b7b075ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鍾佳濱 |
| 委員發言時間 |
10:21:19 - 10:33:47 |
| 會議時間 |
2025-10-16T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期財政委員會第2次全體委員會議(事由:邀請財政部莊部長翠雲率所屬機關首長暨國營事業董事長、總經理(含各轉投資事業機構公股代表之董、監事)列席業務報告,並備質詢。
【10月13日、15日及16日三天一次會】) |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
1.16159375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
1.71846875 |
| transcript.pyannote[1].end |
2.74784375 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
7.25346875 |
| transcript.pyannote[2].end |
7.79346875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
8.02971875 |
| transcript.pyannote[3].end |
8.65409375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
8.89034375 |
| transcript.pyannote[4].end |
9.49784375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
9.71721875 |
| transcript.pyannote[5].end |
19.53846875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
19.53846875 |
| transcript.pyannote[6].end |
21.47909375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
20.34846875 |
| transcript.pyannote[7].end |
27.52034375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
27.63846875 |
| transcript.pyannote[8].end |
28.63409375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
28.38096875 |
| transcript.pyannote[9].end |
38.03346875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
29.62971875 |
| transcript.pyannote[10].end |
30.79409375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
31.03034375 |
| transcript.pyannote[11].end |
31.33409375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
38.74221875 |
| transcript.pyannote[12].end |
40.98659375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
40.91909375 |
| transcript.pyannote[13].end |
43.99034375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
44.37846875 |
| transcript.pyannote[14].end |
47.63534375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
47.19659375 |
| transcript.pyannote[15].end |
48.74909375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
48.56346875 |
| transcript.pyannote[16].end |
48.93471875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
49.22159375 |
| transcript.pyannote[17].end |
59.48159375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
54.01409375 |
| transcript.pyannote[18].end |
55.71846875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
57.49034375 |
| transcript.pyannote[19].end |
58.90784375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
59.48159375 |
| transcript.pyannote[20].end |
62.50221875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
62.85659375 |
| transcript.pyannote[21].end |
66.75471875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
67.63221875 |
| transcript.pyannote[22].end |
76.82909375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
77.52096875 |
| transcript.pyannote[23].end |
77.99346875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
78.88784375 |
| transcript.pyannote[24].end |
86.81909375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
88.72596875 |
| transcript.pyannote[25].end |
89.21534375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
89.29971875 |
| transcript.pyannote[26].end |
90.97034375 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
90.80159375 |
| transcript.pyannote[27].end |
91.17284375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
91.07159375 |
| transcript.pyannote[28].end |
104.63909375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
105.24659375 |
| transcript.pyannote[29].end |
110.29221875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
111.87846875 |
| transcript.pyannote[30].end |
112.35096875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
112.84034375 |
| transcript.pyannote[31].end |
118.35846875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
116.09721875 |
| transcript.pyannote[32].end |
119.80971875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
118.44284375 |
| transcript.pyannote[33].end |
120.95721875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
120.99096875 |
| transcript.pyannote[34].end |
129.42846875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
131.30159375 |
| transcript.pyannote[35].end |
135.35159375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
133.81596875 |
| transcript.pyannote[36].end |
136.21221875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
136.21221875 |
| transcript.pyannote[37].end |
141.32534375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
141.32534375 |
| transcript.pyannote[38].end |
142.74284375 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
142.99596875 |
| transcript.pyannote[39].end |
146.97846875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
146.28659375 |
| transcript.pyannote[40].end |
159.55034375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
160.02284375 |
| transcript.pyannote[41].end |
164.88284375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
165.35534375 |
| transcript.pyannote[42].end |
172.81409375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
173.10096875 |
| transcript.pyannote[43].end |
176.40846875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
176.98221875 |
| transcript.pyannote[44].end |
187.52909375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
187.95096875 |
| transcript.pyannote[45].end |
191.03909375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
192.94596875 |
| transcript.pyannote[46].end |
194.27909375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
193.11471875 |
| transcript.pyannote[47].end |
197.92409375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
196.91159375 |
| transcript.pyannote[48].end |
198.26159375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
198.66659375 |
| transcript.pyannote[49].end |
200.21909375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
200.21909375 |
| transcript.pyannote[50].end |
202.73346875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
203.81346875 |
| transcript.pyannote[51].end |
204.30284375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
205.28159375 |
| transcript.pyannote[52].end |
210.41159375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
212.55471875 |
| transcript.pyannote[53].end |
213.93846875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
213.95534375 |
| transcript.pyannote[54].end |
213.97221875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
214.15784375 |
| transcript.pyannote[55].end |
215.45721875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
215.92971875 |
| transcript.pyannote[56].end |
224.11409375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
224.33346875 |
| transcript.pyannote[57].end |
228.87284375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
229.15971875 |
| transcript.pyannote[58].end |
237.81659375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
238.23846875 |
| transcript.pyannote[59].end |
240.49971875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
240.53346875 |
| transcript.pyannote[60].end |
242.28846875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
242.54159375 |
| transcript.pyannote[61].end |
249.52784375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
250.00034375 |
| transcript.pyannote[62].end |
254.15159375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
254.75909375 |
| transcript.pyannote[63].end |
256.91909375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
256.96971875 |
| transcript.pyannote[64].end |
263.31471875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
263.85471875 |
| transcript.pyannote[65].end |
275.07659375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
275.54909375 |
| transcript.pyannote[66].end |
283.71659375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
284.50971875 |
| transcript.pyannote[67].end |
284.93159375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
285.10034375 |
| transcript.pyannote[68].end |
286.77096875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
287.54721875 |
| transcript.pyannote[69].end |
288.88034375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
289.23471875 |
| transcript.pyannote[70].end |
291.74909375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
292.45784375 |
| transcript.pyannote[71].end |
296.20409375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
296.50784375 |
| transcript.pyannote[72].end |
302.71784375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
303.34221875 |
| transcript.pyannote[73].end |
306.27846875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
309.85596875 |
| transcript.pyannote[74].end |
315.50909375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
314.05784375 |
| transcript.pyannote[75].end |
314.46284375 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
315.50909375 |
| transcript.pyannote[76].end |
323.45721875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
323.76096875 |
| transcript.pyannote[77].end |
326.81534375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
327.15284375 |
| transcript.pyannote[78].end |
329.88659375 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
329.63346875 |
| transcript.pyannote[79].end |
334.83096875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
332.95784375 |
| transcript.pyannote[80].end |
333.49784375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
334.20659375 |
| transcript.pyannote[81].end |
338.25659375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
335.03346875 |
| transcript.pyannote[82].end |
335.57346875 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
335.59034375 |
| transcript.pyannote[83].end |
335.60721875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
335.62409375 |
| transcript.pyannote[84].end |
335.67471875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
339.35346875 |
| transcript.pyannote[85].end |
343.15034375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
343.15034375 |
| transcript.pyannote[86].end |
344.70284375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
344.01096875 |
| transcript.pyannote[87].end |
346.72784375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
346.08659375 |
| transcript.pyannote[88].end |
356.95409375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
357.40971875 |
| transcript.pyannote[89].end |
361.20659375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
360.22784375 |
| transcript.pyannote[90].end |
381.65909375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
382.19909375 |
| transcript.pyannote[91].end |
385.15221875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
385.64159375 |
| transcript.pyannote[92].end |
391.31159375 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
391.91909375 |
| transcript.pyannote[93].end |
397.48784375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
397.75784375 |
| transcript.pyannote[94].end |
399.90096875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
400.10346875 |
| transcript.pyannote[95].end |
405.45284375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
406.12784375 |
| transcript.pyannote[96].end |
410.49846875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
411.12284375 |
| transcript.pyannote[97].end |
413.18159375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
413.70471875 |
| transcript.pyannote[98].end |
416.60721875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
417.31596875 |
| transcript.pyannote[99].end |
419.84721875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
421.24784375 |
| transcript.pyannote[100].end |
421.99034375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
423.03659375 |
| transcript.pyannote[101].end |
424.16721875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
424.43721875 |
| transcript.pyannote[102].end |
425.90534375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
426.09096875 |
| transcript.pyannote[103].end |
427.25534375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
428.94284375 |
| transcript.pyannote[104].end |
429.70221875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
430.12409375 |
| transcript.pyannote[105].end |
431.32221875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
431.69346875 |
| transcript.pyannote[106].end |
433.16159375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
433.49909375 |
| transcript.pyannote[107].end |
437.07659375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
437.76846875 |
| transcript.pyannote[108].end |
439.00034375 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
439.10159375 |
| transcript.pyannote[109].end |
440.18159375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
439.37159375 |
| transcript.pyannote[110].end |
463.01346875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
463.82346875 |
| transcript.pyannote[111].end |
465.00471875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
465.34221875 |
| transcript.pyannote[112].end |
469.42596875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
468.88596875 |
| transcript.pyannote[113].end |
471.83909375 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
471.55221875 |
| transcript.pyannote[114].end |
475.34909375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
475.11284375 |
| transcript.pyannote[115].end |
486.26721875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
486.80721875 |
| transcript.pyannote[116].end |
488.07284375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
488.35971875 |
| transcript.pyannote[117].end |
489.86159375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
491.31284375 |
| transcript.pyannote[118].end |
492.71346875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
494.80596875 |
| transcript.pyannote[119].end |
498.92346875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
498.97409375 |
| transcript.pyannote[120].end |
500.03721875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
501.01596875 |
| transcript.pyannote[121].end |
502.50096875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
502.85534375 |
| transcript.pyannote[122].end |
506.04471875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
506.61846875 |
| transcript.pyannote[123].end |
508.05284375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
508.06971875 |
| transcript.pyannote[124].end |
509.14971875 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
509.70659375 |
| transcript.pyannote[125].end |
513.97596875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
514.06034375 |
| transcript.pyannote[126].end |
515.69721875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
516.65909375 |
| transcript.pyannote[127].end |
519.73034375 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
520.10159375 |
| transcript.pyannote[128].end |
523.07159375 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
523.99971875 |
| transcript.pyannote[129].end |
525.60284375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
526.10909375 |
| transcript.pyannote[130].end |
527.35784375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
528.10034375 |
| transcript.pyannote[131].end |
529.23096875 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
529.66971875 |
| transcript.pyannote[132].end |
530.64846875 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
531.94784375 |
| transcript.pyannote[133].end |
536.04846875 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
533.63534375 |
| transcript.pyannote[134].end |
542.03909375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
542.44409375 |
| transcript.pyannote[135].end |
543.76034375 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
544.57034375 |
| transcript.pyannote[136].end |
546.69659375 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
547.18596875 |
| transcript.pyannote[137].end |
549.24471875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
549.43034375 |
| transcript.pyannote[138].end |
556.90596875 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
558.20534375 |
| transcript.pyannote[139].end |
558.34034375 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
558.34034375 |
| transcript.pyannote[140].end |
559.50471875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
558.37409375 |
| transcript.pyannote[141].end |
558.39096875 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
560.56784375 |
| transcript.pyannote[142].end |
578.37096875 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
578.42159375 |
| transcript.pyannote[143].end |
580.69971875 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
581.13846875 |
| transcript.pyannote[144].end |
582.89346875 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
583.56846875 |
| transcript.pyannote[145].end |
589.13721875 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
589.32284375 |
| transcript.pyannote[146].end |
597.38909375 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
599.04284375 |
| transcript.pyannote[147].end |
601.43909375 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
601.25346875 |
| transcript.pyannote[148].end |
608.56034375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
608.79659375 |
| transcript.pyannote[149].end |
610.56846875 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
610.97346875 |
| transcript.pyannote[150].end |
630.00846875 |
| transcript.pyannote[151].speaker |
SPEAKER_00 |
| transcript.pyannote[151].start |
630.43034375 |
| transcript.pyannote[151].end |
631.99971875 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
633.04596875 |
| transcript.pyannote[152].end |
633.65346875 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
633.83909375 |
| transcript.pyannote[153].end |
635.91471875 |
| transcript.pyannote[154].speaker |
SPEAKER_00 |
| transcript.pyannote[154].start |
636.96096875 |
| transcript.pyannote[154].end |
639.00284375 |
| transcript.pyannote[155].speaker |
SPEAKER_00 |
| transcript.pyannote[155].start |
639.39096875 |
| transcript.pyannote[155].end |
646.25909375 |
| transcript.pyannote[156].speaker |
SPEAKER_00 |
| transcript.pyannote[156].start |
646.88346875 |
| transcript.pyannote[156].end |
647.74409375 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
648.89159375 |
| transcript.pyannote[157].end |
649.54971875 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
649.81971875 |
| transcript.pyannote[158].end |
658.51034375 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
658.96596875 |
| transcript.pyannote[159].end |
660.90659375 |
| transcript.pyannote[160].speaker |
SPEAKER_00 |
| transcript.pyannote[160].start |
661.58159375 |
| transcript.pyannote[160].end |
662.79659375 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
663.91034375 |
| transcript.pyannote[161].end |
664.85534375 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
665.78346875 |
| transcript.pyannote[162].end |
666.20534375 |
| transcript.pyannote[163].speaker |
SPEAKER_00 |
| transcript.pyannote[163].start |
666.98159375 |
| transcript.pyannote[163].end |
669.39471875 |
| transcript.pyannote[164].speaker |
SPEAKER_00 |
| transcript.pyannote[164].start |
670.23846875 |
| transcript.pyannote[164].end |
673.83284375 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
674.22096875 |
| transcript.pyannote[165].end |
675.72284375 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
677.15721875 |
| transcript.pyannote[166].end |
681.88221875 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
682.42221875 |
| transcript.pyannote[167].end |
682.89471875 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
683.40096875 |
| transcript.pyannote[168].end |
684.59909375 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
685.39221875 |
| transcript.pyannote[169].end |
685.79721875 |
| transcript.pyannote[170].speaker |
SPEAKER_00 |
| transcript.pyannote[170].start |
688.00784375 |
| transcript.pyannote[170].end |
699.56721875 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
699.76971875 |
| transcript.pyannote[171].end |
702.41909375 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
702.84096875 |
| transcript.pyannote[172].end |
705.45659375 |
| transcript.pyannote[173].speaker |
SPEAKER_01 |
| transcript.pyannote[173].start |
707.71784375 |
| transcript.pyannote[173].end |
711.34596875 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
711.81846875 |
| transcript.pyannote[174].end |
714.50159375 |
| transcript.pyannote[175].speaker |
SPEAKER_01 |
| transcript.pyannote[175].start |
714.28221875 |
| transcript.pyannote[175].end |
717.43784375 |
| transcript.pyannote[176].speaker |
SPEAKER_00 |
| transcript.pyannote[176].start |
715.58159375 |
| transcript.pyannote[176].end |
716.57721875 |
| transcript.pyannote[177].speaker |
SPEAKER_00 |
| transcript.pyannote[177].start |
716.91471875 |
| transcript.pyannote[177].end |
723.74909375 |
| transcript.pyannote[178].speaker |
SPEAKER_01 |
| transcript.pyannote[178].start |
724.39034375 |
| transcript.pyannote[178].end |
725.90909375 |
| transcript.pyannote[179].speaker |
SPEAKER_00 |
| transcript.pyannote[179].start |
725.90909375 |
| transcript.pyannote[179].end |
732.50721875 |
| transcript.pyannote[180].speaker |
SPEAKER_01 |
| transcript.pyannote[180].start |
727.83284375 |
| transcript.pyannote[180].end |
728.67659375 |
| transcript.pyannote[181].speaker |
SPEAKER_01 |
| transcript.pyannote[181].start |
731.78159375 |
| transcript.pyannote[181].end |
733.46909375 |
| transcript.pyannote[182].speaker |
SPEAKER_00 |
| transcript.pyannote[182].start |
733.18221875 |
| transcript.pyannote[182].end |
734.34659375 |
| transcript.pyannote[183].speaker |
SPEAKER_01 |
| transcript.pyannote[183].start |
734.17784375 |
| transcript.pyannote[183].end |
735.44346875 |
| transcript.pyannote[184].speaker |
SPEAKER_00 |
| transcript.pyannote[184].start |
734.98784375 |
| transcript.pyannote[184].end |
739.59471875 |
| transcript.pyannote[185].speaker |
SPEAKER_00 |
| transcript.pyannote[185].start |
747.30659375 |
| transcript.pyannote[185].end |
749.28096875 |
| transcript.whisperx[0].start |
0.209 |
| transcript.whisperx[0].end |
1.772 |
| transcript.whisperx[0].text |
我們請莊部長委員好 |
| transcript.whisperx[1].start |
8.069 |
| transcript.whisperx[1].end |
37.769 |
| transcript.whisperx[1].text |
部長好 部長我們立法院立法委員如果要主張什麼福利要增加政府的支出我們要負責的提出裁員對不對找到裁員嘛是的 當然要相對的裁員那如果我們要讓民眾有感我們要主張減稅要有稅市評估嘛要看稅損多少 是不是這樣也是的這是一個法律的權利跟義務好 我們來看一下那請問如果我們降稅就財政部長來講你是稅損還是你的稅收會最後會增加 |
| transcript.whisperx[2].start |
38.949 |
| transcript.whisperx[2].end |
66.56 |
| transcript.whisperx[2].text |
这个当然会有税势支出的评估那会不会降了税率反而税收增加如果它能够有其他后续的外溢的效应的话你们举几个例子给我听听看比如说我们对于企业比如说研发支出或者设备投体好 我先告诉你两个例子事实上它产业升级以后它的收入增加税收也会增加这个部长很健康 观念很健康我们看正交税从6%降成3%结果大幅成长 |
| transcript.whisperx[3].start |
67.877 |
| transcript.whisperx[3].end |
86.577 |
| transcript.whisperx[3].text |
香檳比照葡萄酒從20%降為10%本來預估會有將近4500萬的稅損結果反而逆勢成長往下看 你看對不對反而是稅率減稅了 降稅了反而我們的稅收增加了是不是那減稅是不是一定可以增加稅收 |
| transcript.whisperx[4].start |
89.358 |
| transcript.whisperx[4].end |
91.46 |
| transcript.whisperx[4].text |
所以有條件的降稅 條件適合的降稅是可以幫助政府的財政 你同意嗎 |
| transcript.whisperx[5].start |
113.45 |
| transcript.whisperx[5].end |
128.799 |
| transcript.whisperx[5].text |
如果說降稅我們最後能夠回饋到民眾有助於政府的財政條件配合的情況之下是有幫助的我們來看一下我們講加薪減稅是要增加稅收還是要讓人民的薪資提高這個目的加薪減稅 |
| transcript.whisperx[6].start |
131.388 |
| transcript.whisperx[6].end |
135.132 |
| transcript.whisperx[6].text |
加薪的話當然讓民眾的收入可以增加那政府的稅收會提高嗎減稅的部分那如果說可以減稅的話當然民眾的租稅負擔會減輕那政府的稅收會增加嗎 |
| transcript.whisperx[7].start |
143.315 |
| transcript.whisperx[7].end |
164.592 |
| transcript.whisperx[7].text |
政府的税收会增加要看其他各项的因素对我们主要目的让员工的薪水变高他如果精神好心情好生产力加强公司营业和成长政府的税收还是会增加我们来看一下可是中亚企业发展条例当年在103年制定之后结果呢105年106年人数反而不增反减 |
| transcript.whisperx[8].start |
165.433 |
| transcript.whisperx[8].end |
184.683 |
| transcript.whisperx[8].text |
而且呢到後來由於說當時的修法立法呢要經濟景氣達一定情形的門檻說要連續6個月失業後來呢台灣沒有那麼高的失業率這個條文就沒有用了那麼後來我們在103年的修正把這個拿掉而且呢把減除率提高本來是100對130現在是100呢可以減除175百分之175好 請問新制實施後成效如何 |
| transcript.whisperx[9].start |
193.001 |
| transcript.whisperx[9].end |
201.792 |
| transcript.whisperx[9].text |
有沒有比以前更好因為113年7月才修正所以去年的情況如何這個要再另外做統計我要告訴你多數的企業不太賞光 不太捧場為什麼企業獲利老闆卻不願意幫員工加薪 為什麼 |
| transcript.whisperx[10].start |
212.691 |
| transcript.whisperx[10].end |
228.474 |
| transcript.whisperx[10].text |
為什麼 來我告訴你七月有獲利如果你幫員工加薪員工拿到一萬元的加薪但是老闆還要另外再付什麼勞保健保還有他勞退所以幫員工加薪的效果有很多雇主要付在政府身上 |
| transcript.whisperx[11].start |
229.255 |
| transcript.whisperx[11].end |
253.904 |
| transcript.whisperx[11].text |
但是如果你發獎金的話你有選擇性跟調節性有賺錢就發沒賺錢就不發而且有選擇性哪些員工發哪些員工不發但是如果你加薪就持續而且加薪是個結構你新進員工加資深員工加一定要加所以老闆通常企業不太願意加薪你可發獎金這樣了解了所以為什麼那個法律我們說要加薪可是老闆企業不太配合往下看 |
| transcript.whisperx[12].start |
254.844 |
| transcript.whisperx[12].end |
283.064 |
| transcript.whisperx[12].text |
所以如果我們反過來想如果是老闆是企業幫員工他的勞退提撥把它提高你看看差別在哪裡如果你是企業有獲利你幫員工加薪他明年的人事成本就增加了或者你就改選擇發獎金但是員工拿了獎金他還是要繳什麼繳重所稅但是如果你是增加員工的提撥就是僱主本來幫他提最少要提6%如果僱主幫他多提幾% |
| transcript.whisperx[13].start |
285.652 |
| transcript.whisperx[13].end |
306.082 |
| transcript.whisperx[13].text |
如果能讓他抵稅 你覺得僱主是比較開心幫員工增加他的勞退提撥啊那個錢先不用付稅嘛 它有遞延效果嘛 對不對所以部長 你這樣直覺判斷如果對員工的勞退 老闆把他增加提撥你覺得可以抵稅的話 會不會比加薪有誘因 |
| transcript.whisperx[14].start |
310.035 |
| transcript.whisperx[14].end |
337.953 |
| transcript.whisperx[14].text |
就是說您指的意思是說如果說他幫他增加提撥的話得以抵稅老闆的6%把他提高多一點8% 9% 10%老闆可以選嘛我今年幫你提8%明年幫你提10%那個如果獲利不好我就幫你提6%你覺得這樣有沒有也有選擇性也有調節性這個對企業來說是他的一個支出啊是的所以說是不是比較有意願比起幫員工加薪他更有意願 |
| transcript.whisperx[15].start |
339.4 |
| transcript.whisperx[15].end |
356.318 |
| transcript.whisperx[15].text |
都是他的支出嘛都是可以在他的所得額裡面去扣除啊我知道啦我是說把加薪底稅的加薪改成老闆把這個提撥視為是加薪的話適用在法律裡面你覺得雇主是不是有比較強的意願 |
| transcript.whisperx[16].start |
357.572 |
| transcript.whisperx[16].end |
381.448 |
| transcript.whisperx[16].text |
我剛剛您這樣的一個對照比較我知道了解了好往下看所以我們來看一下對員工來講你加了薪你所得稅增加老闆還要什麼勞保健保但是如果員工給你獎金也是要有所得稅增加還要加健保的附加費但是如果老闆幫你多提勞退你沒有應付的稅額也沒有額外的負擔對員工也好 |
| transcript.whisperx[17].start |
382.268 |
| transcript.whisperx[17].end |
390.221 |
| transcript.whisperx[17].text |
所以這個勞退提撥 雇主幫員工多勞退提撥對企業 對員工都是好的所以我們來問一個問題 來 |
| transcript.whisperx[18].start |
391.977 |
| transcript.whisperx[18].end |
419.537 |
| transcript.whisperx[18].text |
那麼請問抵稅權 目前的加薪抵稅它的抵稅權可以遞延或有償讓渡嗎譬如說我今天幫員工加薪我要抵稅那你只能適用當年度其實當年度我加了薪之後我的盈餘減少 應付稅減少老闆沒意願但是如果說企業在選擇說我在其他年度我來抵或者說給別的企業來讓渡你覺得遞延跟讓渡這個事情可以接受嗎因為我們現在想修法想聽聽看財政部的意見 |
| transcript.whisperx[19].start |
421.291 |
| transcript.whisperx[19].end |
436.763 |
| transcript.whisperx[19].text |
底稅權 嘉興的底稅權可不可以遞延給企業試用還是它可以有長浪度有沒有理解了我知道 是你覺得可不可以評估一下我們目前的嘉興底稅是沒有遞延的 |
| transcript.whisperx[20].start |
437.853 |
| transcript.whisperx[20].end |
462.488 |
| transcript.whisperx[20].text |
也不能讓渡可是我企業我的經營同一個時期每個企業的經營榮枯不同我的企業的經營我的時節我的淡忘不同所以如果加薪抵稅讓我可以在企業遞延適用或者說我跟其他的企業我可以做一些讓渡我們可以調節那麼我就不會那麼care說我今年需要抵稅我才去幫員工加薪了解嗎有沒有辦法去評估一下 |
| transcript.whisperx[21].start |
465.547 |
| transcript.whisperx[21].end |
489.314 |
| transcript.whisperx[21].text |
我想這個部分因為跟目前的法制並不相同對 所以我才說我要修法我要問財政部你的意見我想這個部分對您這樣的一個建議我們是不是容我們再研議一下可以 你同意 好好往下看所以說加薪減稅的抵稅權能不能遞你們研究能不能有長浪度你們去研究假設可以有長浪度覺得抵什麼稅對企業主他最有誘因企業主最想抵什麼稅 |
| transcript.whisperx[22].start |
494.861 |
| transcript.whisperx[22].end |
515.19 |
| transcript.whisperx[22].text |
有沒有這邊當老闆的這邊都是公股行庫的都不是自己當老闆雖然是董事長我問你中小企業大概他如果有一定的規模就算未上市他最想抵的是什麼 遺證稅你去看那些受險公司推出的遺產稅的保單有沒有聽過 部長有沒有聽過對不對 但是財政部你一定收到遺產稅嗎通常人家說財政部收到的遺產稅是意外之財 |
| transcript.whisperx[23].start |
524.079 |
| transcript.whisperx[23].end |
530.386 |
| transcript.whisperx[23].text |
有些企業家意外不按照時間離開財政部才有機會部長你同意嗎部長因為遺產稅是機會稅是上帝決定的我們一下看所以如果說鼓勵勞工勞退字體增加1%以上 |
| transcript.whisperx[24].start |
545.119 |
| transcript.whisperx[24].end |
556.588 |
| transcript.whisperx[24].text |
不要企業做 政府就來做因為僱主強制提撥至少6%勞工是自願0到6你知道嗎目前勞工自提的 勞退自提的占全部勞工的幾%你知道嗎只有16% |
| transcript.whisperx[25].start |
560.809 |
| transcript.whisperx[25].end |
582.349 |
| transcript.whisperx[25].text |
還有84%的勞工他的自提他是提零為什麼因為勞工覺得我薪水不夠我幹嘛再自提可是這樣不對啊你現在沒有自提你退休很慘啊不是很慘啊你退休炒個保障啊可是他又不想要多挪現在如果基本工資3萬塊如果政府說我送你300塊送你1%你一定要再自提多1% |
| transcript.whisperx[26].start |
583.81 |
| transcript.whisperx[26].end |
589.976 |
| transcript.whisperx[26].text |
不管你有沒有自提你只要自提的增加1%以上我就政府定額送你1%你覺得這樣會不會鼓勵一些資淺的低薪的勞工他願意也存個300塊有沒有可能 |
| transcript.whisperx[27].start |
601.317 |
| transcript.whisperx[27].end |
622.948 |
| transcript.whisperx[27].text |
所以我說我們不要政府只要企業主幫員工加薪或自提或勞退我們政府要首先做我們告訴僱主說如果你幫員工提他的勞退我讓你抵稅我不是只有說說而已我政府也以身作則我先編列預算每年編個300億全國900多萬勞工 |
| transcript.whisperx[28].start |
626.169 |
| transcript.whisperx[28].end |
631.895 |
| transcript.whisperx[28].text |
他就可以有這樣1%的政府的獎勵政府有沒有做過這種事情 有沒有沒有嗎 我告訴你有 來往下看農民退休儲金就是我們農民退休儲金是怎樣農民在基本工資自提1%到10%政府是對等耶 對等耶 |
| transcript.whisperx[29].start |
649.139 |
| transcript.whisperx[29].end |
674.525 |
| transcript.whisperx[29].text |
當年您在財政部這個法律通過的時候是行政院全力支持的小英總統要求的陳其中部長那時候呢在推動的要多少錢你知道嗎一年要多少錢嗎一年要四十幾億對等提撥現在農民不到五十萬參加勞工有九百萬可能數額多一點大概要三百億願不願意幫我們找裁員 |
| transcript.whisperx[30].start |
677.596 |
| transcript.whisperx[30].end |
705.226 |
| transcript.whisperx[30].text |
勞退自提參照農民退休處金政府來提供獎勵要不要找個裁員好不好對 另外找 承諾去找好 訴求兩個 主席站起來了請評估僱主替員工提繳勞退超過6%之部位適用加薪減稅的可能性包括我說的遞延性跟讓渡遞延跟讓渡一個月內提出書面報告 可以嗎 |
| transcript.whisperx[31].start |
707.762 |
| transcript.whisperx[31].end |
723.619 |
| transcript.whisperx[31].text |
我們是不是時間給我們有三個月的時間可以嗎明年才能適用三個月三個月我們再提出數另外呢加薪抵稅的抵稅前陳地言或有償讓度的可信一併提出來這個是不是可以早一點一個月就可以了 |
| transcript.whisperx[32].start |
724.871 |
| transcript.whisperx[32].end |
739.345 |
| transcript.whisperx[32].text |
給我們兩個月好嗎好 三個月 兩個月我都聽你的好 謝謝那就這樣子那就拜託部長承諾那也謝謝部長我們做評估是 謝謝主席也謝謝主席謝謝 謝謝委員謝謝宗嘉賓委員接下來我們請顏寬恆委員主席各位的習慣 |