| IVOD_ID |
164267 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164267 |
| 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 |
2025-10-16T10:55:50+08:00 |
| 結束時間 |
2025-10-16T11:07:34+08:00 |
| 影片長度 |
00:11:44 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6022c9f6d63255a39d3cbe9c653b46dd9ba2ba11b833fe0ad77ab6ef5aede8986365cf59414950575ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
李坤城 |
| 委員發言時間 |
10:55:50 - 11:07:34 |
| 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 |
0.94221875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
4.36784375 |
| transcript.pyannote[1].end |
4.43534375 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
4.43534375 |
| transcript.pyannote[2].end |
4.95846875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
5.27909375 |
| transcript.pyannote[3].end |
51.06096875 |
| transcript.pyannote[4].speaker |
SPEAKER_02 |
| transcript.pyannote[4].start |
52.44471875 |
| transcript.pyannote[4].end |
54.36846875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
54.36846875 |
| transcript.pyannote[5].end |
62.78909375 |
| transcript.pyannote[6].speaker |
SPEAKER_02 |
| transcript.pyannote[6].start |
57.76034375 |
| transcript.pyannote[6].end |
58.14846875 |
| transcript.pyannote[7].speaker |
SPEAKER_02 |
| transcript.pyannote[7].start |
62.70471875 |
| transcript.pyannote[7].end |
63.83534375 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
63.88596875 |
| transcript.pyannote[8].end |
64.18971875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
64.24034375 |
| transcript.pyannote[9].end |
66.28221875 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
65.82659375 |
| transcript.pyannote[10].end |
71.49659375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
71.49659375 |
| transcript.pyannote[11].end |
74.14596875 |
| transcript.pyannote[12].speaker |
SPEAKER_02 |
| transcript.pyannote[12].start |
72.23909375 |
| transcript.pyannote[12].end |
72.52596875 |
| transcript.pyannote[13].speaker |
SPEAKER_02 |
| transcript.pyannote[13].start |
74.14596875 |
| transcript.pyannote[13].end |
74.50034375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
74.50034375 |
| transcript.pyannote[14].end |
83.54534375 |
| transcript.pyannote[15].speaker |
SPEAKER_02 |
| transcript.pyannote[15].start |
74.55096875 |
| transcript.pyannote[15].end |
76.06971875 |
| transcript.pyannote[16].speaker |
SPEAKER_02 |
| transcript.pyannote[16].start |
76.33971875 |
| transcript.pyannote[16].end |
76.76159375 |
| transcript.pyannote[17].speaker |
SPEAKER_02 |
| transcript.pyannote[17].start |
77.20034375 |
| transcript.pyannote[17].end |
77.60534375 |
| transcript.pyannote[18].speaker |
SPEAKER_02 |
| transcript.pyannote[18].start |
83.69721875 |
| transcript.pyannote[18].end |
96.20159375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
88.70909375 |
| transcript.pyannote[19].end |
88.72596875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
88.79346875 |
| transcript.pyannote[20].end |
88.81034375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
94.80096875 |
| transcript.pyannote[21].end |
95.23971875 |
| transcript.pyannote[22].speaker |
SPEAKER_02 |
| transcript.pyannote[22].start |
96.31971875 |
| transcript.pyannote[22].end |
103.15409375 |
| transcript.pyannote[23].speaker |
SPEAKER_02 |
| transcript.pyannote[23].start |
103.35659375 |
| transcript.pyannote[23].end |
124.92284375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
111.11909375 |
| transcript.pyannote[24].end |
111.54096875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
119.82659375 |
| transcript.pyannote[25].end |
120.23159375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
124.33221875 |
| transcript.pyannote[26].end |
131.43659375 |
| transcript.pyannote[27].speaker |
SPEAKER_02 |
| transcript.pyannote[27].start |
132.80346875 |
| transcript.pyannote[27].end |
140.53221875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
139.85721875 |
| transcript.pyannote[28].end |
141.25784375 |
| transcript.pyannote[29].speaker |
SPEAKER_02 |
| transcript.pyannote[29].start |
141.17346875 |
| transcript.pyannote[29].end |
144.54846875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
144.75096875 |
| transcript.pyannote[30].end |
150.72471875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
151.11284375 |
| transcript.pyannote[31].end |
154.04909375 |
| transcript.pyannote[32].speaker |
SPEAKER_02 |
| transcript.pyannote[32].start |
152.69909375 |
| transcript.pyannote[32].end |
156.61409375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
156.68159375 |
| transcript.pyannote[33].end |
160.78221875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
161.06909375 |
| transcript.pyannote[34].end |
172.79721875 |
| transcript.pyannote[35].speaker |
SPEAKER_02 |
| transcript.pyannote[35].start |
173.37096875 |
| transcript.pyannote[35].end |
198.43034375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
193.67159375 |
| transcript.pyannote[36].end |
194.11034375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
197.09721875 |
| transcript.pyannote[37].end |
203.03721875 |
| transcript.pyannote[38].speaker |
SPEAKER_02 |
| transcript.pyannote[38].start |
198.48096875 |
| transcript.pyannote[38].end |
198.53159375 |
| transcript.pyannote[39].speaker |
SPEAKER_02 |
| transcript.pyannote[39].start |
199.64534375 |
| transcript.pyannote[39].end |
200.42159375 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
202.48034375 |
| transcript.pyannote[40].end |
208.04909375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
205.97346875 |
| transcript.pyannote[41].end |
206.27721875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
208.13346875 |
| transcript.pyannote[42].end |
210.42846875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
211.33971875 |
| transcript.pyannote[43].end |
219.22034375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
220.92471875 |
| transcript.pyannote[44].end |
224.36721875 |
| transcript.pyannote[45].speaker |
SPEAKER_02 |
| transcript.pyannote[45].start |
226.47659375 |
| transcript.pyannote[45].end |
229.54784375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
228.61971875 |
| transcript.pyannote[46].end |
237.07409375 |
| transcript.pyannote[47].speaker |
SPEAKER_02 |
| transcript.pyannote[47].start |
231.21846875 |
| transcript.pyannote[47].end |
231.60659375 |
| transcript.pyannote[48].speaker |
SPEAKER_02 |
| transcript.pyannote[48].start |
231.84284375 |
| transcript.pyannote[48].end |
232.61909375 |
| transcript.pyannote[49].speaker |
SPEAKER_02 |
| transcript.pyannote[49].start |
235.30221875 |
| transcript.pyannote[49].end |
236.31471875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
236.31471875 |
| transcript.pyannote[50].end |
236.38221875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
237.39471875 |
| transcript.pyannote[51].end |
242.37284375 |
| transcript.pyannote[52].speaker |
SPEAKER_02 |
| transcript.pyannote[52].start |
237.56346875 |
| transcript.pyannote[52].end |
237.64784375 |
| transcript.pyannote[53].speaker |
SPEAKER_02 |
| transcript.pyannote[53].start |
239.14971875 |
| transcript.pyannote[53].end |
239.74034375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
242.67659375 |
| transcript.pyannote[54].end |
245.41034375 |
| transcript.pyannote[55].speaker |
SPEAKER_02 |
| transcript.pyannote[55].start |
244.90409375 |
| transcript.pyannote[55].end |
248.29596875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
245.81534375 |
| transcript.pyannote[56].end |
246.20346875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
247.43534375 |
| transcript.pyannote[57].end |
256.88534375 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
257.10471875 |
| transcript.pyannote[58].end |
258.28596875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
257.29034375 |
| transcript.pyannote[59].end |
260.83409375 |
| transcript.pyannote[60].speaker |
SPEAKER_02 |
| transcript.pyannote[60].start |
260.81721875 |
| transcript.pyannote[60].end |
263.68596875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
263.43284375 |
| transcript.pyannote[61].end |
274.30034375 |
| transcript.pyannote[62].speaker |
SPEAKER_02 |
| transcript.pyannote[62].start |
274.89096875 |
| transcript.pyannote[62].end |
275.71784375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
275.56596875 |
| transcript.pyannote[63].end |
280.78034375 |
| transcript.pyannote[64].speaker |
SPEAKER_02 |
| transcript.pyannote[64].start |
281.97846875 |
| transcript.pyannote[64].end |
286.29846875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
285.16784375 |
| transcript.pyannote[65].end |
290.24721875 |
| transcript.pyannote[66].speaker |
SPEAKER_02 |
| transcript.pyannote[66].start |
290.38221875 |
| transcript.pyannote[66].end |
300.87846875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
300.40596875 |
| transcript.pyannote[67].end |
300.67596875 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
301.21596875 |
| transcript.pyannote[68].end |
307.62846875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
303.78096875 |
| transcript.pyannote[69].end |
304.03409375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
306.73409375 |
| transcript.pyannote[70].end |
309.07971875 |
| transcript.pyannote[71].speaker |
SPEAKER_02 |
| transcript.pyannote[71].start |
309.07971875 |
| transcript.pyannote[71].end |
309.45096875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
309.53534375 |
| transcript.pyannote[72].end |
330.20721875 |
| transcript.pyannote[73].speaker |
SPEAKER_02 |
| transcript.pyannote[73].start |
322.73159375 |
| transcript.pyannote[73].end |
323.10284375 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
328.70534375 |
| transcript.pyannote[74].end |
330.96659375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
330.96659375 |
| transcript.pyannote[75].end |
335.08409375 |
| transcript.pyannote[76].speaker |
SPEAKER_02 |
| transcript.pyannote[76].start |
334.34159375 |
| transcript.pyannote[76].end |
336.07971875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
335.89409375 |
| transcript.pyannote[77].end |
339.33659375 |
| transcript.pyannote[78].speaker |
SPEAKER_02 |
| transcript.pyannote[78].start |
339.64034375 |
| transcript.pyannote[78].end |
341.47971875 |
| transcript.pyannote[79].speaker |
SPEAKER_02 |
| transcript.pyannote[79].start |
342.00284375 |
| transcript.pyannote[79].end |
355.62096875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
352.80284375 |
| transcript.pyannote[80].end |
353.19096875 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
355.67159375 |
| transcript.pyannote[81].end |
363.73784375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
363.50159375 |
| transcript.pyannote[82].end |
373.42409375 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
364.51409375 |
| transcript.pyannote[83].end |
365.20596875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
374.01471875 |
| transcript.pyannote[84].end |
384.02159375 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
385.47284375 |
| transcript.pyannote[85].end |
386.83971875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
386.67096875 |
| transcript.pyannote[86].end |
399.44534375 |
| transcript.pyannote[87].speaker |
SPEAKER_02 |
| transcript.pyannote[87].start |
386.90721875 |
| transcript.pyannote[87].end |
387.32909375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
399.71534375 |
| transcript.pyannote[88].end |
402.82034375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
403.32659375 |
| transcript.pyannote[89].end |
418.15971875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
418.36221875 |
| transcript.pyannote[90].end |
426.41159375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
426.66471875 |
| transcript.pyannote[91].end |
428.28471875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
428.48721875 |
| transcript.pyannote[92].end |
430.12409375 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
430.81596875 |
| transcript.pyannote[93].end |
434.47784375 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
435.60846875 |
| transcript.pyannote[94].end |
461.83221875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
448.33221875 |
| transcript.pyannote[95].end |
448.36596875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
453.36096875 |
| transcript.pyannote[96].end |
453.68159375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
457.03971875 |
| transcript.pyannote[97].end |
457.27596875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
461.78159375 |
| transcript.pyannote[98].end |
472.48034375 |
| transcript.pyannote[99].speaker |
SPEAKER_02 |
| transcript.pyannote[99].start |
473.12159375 |
| transcript.pyannote[99].end |
481.62659375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
481.18784375 |
| transcript.pyannote[100].end |
483.61784375 |
| transcript.pyannote[101].speaker |
SPEAKER_02 |
| transcript.pyannote[101].start |
483.93846875 |
| transcript.pyannote[101].end |
487.02659375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
487.02659375 |
| transcript.pyannote[102].end |
487.34721875 |
| transcript.pyannote[103].speaker |
SPEAKER_02 |
| transcript.pyannote[103].start |
487.31346875 |
| transcript.pyannote[103].end |
487.83659375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
487.58346875 |
| transcript.pyannote[104].end |
490.40159375 |
| transcript.pyannote[105].speaker |
SPEAKER_02 |
| transcript.pyannote[105].start |
491.00909375 |
| transcript.pyannote[105].end |
494.46846875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
494.46846875 |
| transcript.pyannote[106].end |
497.47221875 |
| transcript.pyannote[107].speaker |
SPEAKER_02 |
| transcript.pyannote[107].start |
497.43846875 |
| transcript.pyannote[107].end |
500.67846875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
498.82221875 |
| transcript.pyannote[108].end |
502.01159375 |
| transcript.pyannote[109].speaker |
SPEAKER_02 |
| transcript.pyannote[109].start |
502.01159375 |
| transcript.pyannote[109].end |
502.41659375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
502.33221875 |
| transcript.pyannote[110].end |
503.78346875 |
| transcript.pyannote[111].speaker |
SPEAKER_02 |
| transcript.pyannote[111].start |
503.68221875 |
| transcript.pyannote[111].end |
514.73534375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
507.17534375 |
| transcript.pyannote[112].end |
507.42846875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
514.63409375 |
| transcript.pyannote[113].end |
524.23596875 |
| transcript.pyannote[114].speaker |
SPEAKER_02 |
| transcript.pyannote[114].start |
524.30346875 |
| transcript.pyannote[114].end |
528.11721875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
527.37471875 |
| transcript.pyannote[115].end |
527.61096875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
528.11721875 |
| transcript.pyannote[116].end |
541.58346875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
542.10659375 |
| transcript.pyannote[117].end |
545.71784375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
546.02159375 |
| transcript.pyannote[118].end |
551.42159375 |
| transcript.pyannote[119].speaker |
SPEAKER_02 |
| transcript.pyannote[119].start |
552.46784375 |
| transcript.pyannote[119].end |
561.20909375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
560.77034375 |
| transcript.pyannote[120].end |
560.82096875 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
560.82096875 |
| transcript.pyannote[121].end |
560.92221875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
560.92221875 |
| transcript.pyannote[122].end |
560.95596875 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
560.95596875 |
| transcript.pyannote[123].end |
561.00659375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
561.00659375 |
| transcript.pyannote[124].end |
561.32721875 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
562.62659375 |
| transcript.pyannote[125].end |
567.82409375 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
565.78221875 |
| transcript.pyannote[126].end |
566.55846875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
567.82409375 |
| transcript.pyannote[127].end |
567.85784375 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
568.00971875 |
| transcript.pyannote[128].end |
577.15596875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
570.28784375 |
| transcript.pyannote[129].end |
570.59159375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
574.03409375 |
| transcript.pyannote[130].end |
574.35471875 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
577.20659375 |
| transcript.pyannote[131].end |
577.22346875 |
| transcript.pyannote[132].speaker |
SPEAKER_01 |
| transcript.pyannote[132].start |
577.22346875 |
| transcript.pyannote[132].end |
577.24034375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
577.24034375 |
| transcript.pyannote[133].end |
577.66221875 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
577.66221875 |
| transcript.pyannote[134].end |
578.03346875 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
578.03346875 |
| transcript.pyannote[135].end |
578.16846875 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
578.16846875 |
| transcript.pyannote[136].end |
578.30346875 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
578.30346875 |
| transcript.pyannote[137].end |
582.80909375 |
| transcript.pyannote[138].speaker |
SPEAKER_01 |
| transcript.pyannote[138].start |
582.97784375 |
| transcript.pyannote[138].end |
584.05784375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
583.92284375 |
| transcript.pyannote[139].end |
586.97721875 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
584.44596875 |
| transcript.pyannote[140].end |
585.13784375 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
586.97721875 |
| transcript.pyannote[141].end |
587.39909375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
587.39909375 |
| transcript.pyannote[142].end |
587.71971875 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
587.71971875 |
| transcript.pyannote[143].end |
591.04409375 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
591.04409375 |
| transcript.pyannote[144].end |
591.09471875 |
| transcript.pyannote[145].speaker |
SPEAKER_01 |
| transcript.pyannote[145].start |
591.09471875 |
| transcript.pyannote[145].end |
591.11159375 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
591.11159375 |
| transcript.pyannote[146].end |
593.96346875 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
594.48659375 |
| transcript.pyannote[147].end |
594.85784375 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
595.44846875 |
| transcript.pyannote[148].end |
602.48534375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
602.48534375 |
| transcript.pyannote[149].end |
605.26971875 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
606.19784375 |
| transcript.pyannote[150].end |
607.29471875 |
| transcript.pyannote[151].speaker |
SPEAKER_00 |
| transcript.pyannote[151].start |
607.71659375 |
| transcript.pyannote[151].end |
607.73346875 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
607.73346875 |
| transcript.pyannote[152].end |
614.48346875 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
607.76721875 |
| transcript.pyannote[153].end |
608.07096875 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
615.52971875 |
| transcript.pyannote[154].end |
618.02721875 |
| transcript.pyannote[155].speaker |
SPEAKER_00 |
| transcript.pyannote[155].start |
618.02721875 |
| transcript.pyannote[155].end |
633.99096875 |
| transcript.pyannote[156].speaker |
SPEAKER_01 |
| transcript.pyannote[156].start |
634.48034375 |
| transcript.pyannote[156].end |
644.95971875 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
640.74096875 |
| transcript.pyannote[157].end |
641.12909375 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
645.04409375 |
| transcript.pyannote[158].end |
645.83721875 |
| transcript.pyannote[159].speaker |
SPEAKER_01 |
| transcript.pyannote[159].start |
645.92159375 |
| transcript.pyannote[159].end |
648.36846875 |
| transcript.pyannote[160].speaker |
SPEAKER_01 |
| transcript.pyannote[160].start |
648.82409375 |
| transcript.pyannote[160].end |
656.40096875 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
656.40096875 |
| transcript.pyannote[161].end |
663.23534375 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
663.45471875 |
| transcript.pyannote[162].end |
665.44596875 |
| transcript.pyannote[163].speaker |
SPEAKER_01 |
| transcript.pyannote[163].start |
665.44596875 |
| transcript.pyannote[163].end |
665.54721875 |
| transcript.pyannote[164].speaker |
SPEAKER_01 |
| transcript.pyannote[164].start |
666.44159375 |
| transcript.pyannote[164].end |
676.56659375 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
675.94221875 |
| transcript.pyannote[165].end |
686.69159375 |
| transcript.pyannote[166].speaker |
SPEAKER_01 |
| transcript.pyannote[166].start |
685.05471875 |
| transcript.pyannote[166].end |
685.35846875 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
698.18346875 |
| transcript.pyannote[167].end |
700.98471875 |
| transcript.pyannote[168].speaker |
SPEAKER_01 |
| transcript.pyannote[168].start |
699.21284375 |
| transcript.pyannote[168].end |
699.65159375 |
| transcript.whisperx[0].start |
0.129 |
| transcript.whisperx[0].end |
21.346 |
| transcript.whisperx[0].text |
请庄部长委员好部长好 因为大家都很关心今年的税收到底能不能达到我们当初的预算数在10月中旬的时候你们有公布全国的税收累计1到9月 前9月的税收是2兆8710亿 |
| transcript.whisperx[1].start |
23.067 |
| transcript.whisperx[1].end |
32.031 |
| transcript.whisperx[1].text |
然後叫去年同期減少了743億銀索稅減少最多426億證交稅減少223億土增稅減少161億實際上除了我剛念的銀索稅貨物稅 證交稅 土增稅之外我們除了證索稅有增加375億之外其實我們所有的稅收都減少 是不是 |
| transcript.whisperx[2].start |
52.7 |
| transcript.whisperx[2].end |
72.626 |
| transcript.whisperx[2].text |
中手稅是增加的對 除了中手稅增加之外我們有一張表上面有顯示出來除了中手稅之外我們所有其他的稅收都減少嘛 是不是對 為什麼會有這種情況呢但是地方的房屋稅是增加的還有印花稅也是增加的沒有 那我現在是討論這個減少的部分 |
| transcript.whisperx[3].start |
74.666 |
| transcript.whisperx[3].end |
101.313 |
| transcript.whisperx[3].text |
像货物税啊 证交税啊 土增税啊银索税减少更多那银索税你刚刚有提到说我们有一些延分期付款的一些效应在对 跟委员报告银索税的部分因为9月份的暂缴税款有部分还没有入账可能会10月才会入账要到10月才统计的出来还有刚刚您委员所说的就是延分期缴纳的部分会递延入账那另外证交税的部分跟委员很清楚就1到9月份的日均量是4451亿 |
| transcript.whisperx[4].start |
103.474 |
| transcript.whisperx[4].end |
131.204 |
| transcript.whisperx[4].text |
和去年同期的是4943亿就差了500亿所以1到9月份的部分证交税是减收可是9月份单一这个月份因为它的日均量是达到6006亿所以比去年9月份有增加107亿所以我们会观察后面10月到12月股市的一个成交量我请教一下部长今年度我们的预算我们的税落是变多少 |
| transcript.whisperx[5].start |
132.91 |
| transcript.whisperx[5].end |
139.617 |
| transcript.whisperx[5].text |
今年度我們中央的部分是編2兆7,845億在中央那全國呢全國的預算數是3兆8,019億那按照目前的稅收的達成率來講大概是只有75%左右 |
| transcript.whisperx[6].start |
151.206 |
| transcript.whisperx[6].end |
171.534 |
| transcript.whisperx[6].text |
不論是全國或是說這個中央的部分對 以全年來說達成率是大概只有75%嘛那剩下最後只剩下三個月那大家也都很關心那我們今年的稅收有辦法達成我們的這個預算數嗎那會不會有短超的現象發生 結果發生 |
| transcript.whisperx[7].start |
173.424 |
| transcript.whisperx[7].end |
200.947 |
| transcript.whisperx[7].text |
那跟委员报告就是说我们114年的预算数以中央来说就比去年的时增数增加了947亿比时增数但是到9月为止的时增数刚刚委员很清楚比去年同期是来的减少的所以今年要达成预算目标是具有挑战性的那我们再看10月份站脚税款入账以后我刚才听部长讲就是有挑战性所以有可能会发生 |
| transcript.whisperx[8].start |
201.627 |
| transcript.whisperx[8].end |
224.102 |
| transcript.whisperx[8].text |
短收的现象就对了可能没有办法就是对有可能对对对没有办法达到百分之一百这样子那有哪一些税收如果增加的话那有可能至少可以达到预算数因为听起来这样子是不是很乐观那除了期待这个这个政交税之外 |
| transcript.whisperx[9].start |
226.516 |
| transcript.whisperx[9].end |
241.718 |
| transcript.whisperx[9].text |
在證交稅之外當然我們希望而且現在關稅也還沒有確定所以如果關稅確定之後我們也不知道股市的發展情況是怎麼樣當然有可能正向但是也有可能會波動所以證交稅我覺得剩下三個月其實 |
| transcript.whisperx[10].start |
243.239 |
| transcript.whisperx[10].end |
260.651 |
| transcript.whisperx[10].text |
也不知道它的发展情况怎么样因为证交税整体来说财政部还有什么可以努力的地方吗可以达到我们税收达到当时编出来的运算数不至于短收因为我们上次短收是在COVID-19的时候嘛 |
| transcript.whisperx[11].start |
261.691 |
| transcript.whisperx[11].end |
290.056 |
| transcript.whisperx[11].text |
對 109年的時候是上市短收對 然後這幾年來其實大家都很努力那所以我們稅收都有增加那所以才有這個稅季剩餘增加我們也才有發這一個這個一萬塊嘛 對不對是的對啊 那如果現在按照目前發展情況來講似乎不是很樂觀今年如果要達到那個預算書有挑戰形式對 所以我問部長說那有哪一些地方財政部還可以再努力的 |
| transcript.whisperx[12].start |
291.101 |
| transcript.whisperx[12].end |
307.767 |
| transcript.whisperx[12].text |
財政部當然向來對於稅收的課徵都非常努力我們的稅務同仁都很努力那當然第一個股市要看這個後續的一些變化那中所稅是增加的最主要是新之所的增加跟營運分配增加但是我們講貨物稅嘛 |
| transcript.whisperx[13].start |
309.628 |
| transcript.whisperx[13].end |
338.902 |
| transcript.whisperx[13].text |
然後還有這個關稅也減少營業稅也減少其實剛才那張表來看除了政府稅有增加之外其他的稅都減少那怎麼辦我們當然我知道說我們的財政部的官員都很努力但這不是努力就可以達成這個目標對不對就算每天工作12個小時也不一定可以達到稅收增加所以我在問部長說那有什麼可以努力的地方嗎 |
| transcript.whisperx[14].start |
340.15 |
| transcript.whisperx[14].end |
362.95 |
| transcript.whisperx[14].text |
我想这个部分货物税的部分因为前面几个月是因为小客车是短收的那现在目前来说货物税对小客车的一个税务的调整已经算是经过大院通过那大家就比较确定所以九月份来说比去年同期只减少了一亿那我们看看后面看看能不能再有增加税收的可能性 |
| transcript.whisperx[15].start |
363.61 |
| transcript.whisperx[15].end |
376.193 |
| transcript.whisperx[15].text |
你講貨物稅嘛那其實這一個汽車公會的全聯會他其實他有提到因為他們本身就是業者嘛他說我們通過的貨物稅啦對他們來講貨物稅減增目前為止沒有帶動太大的成效因為關稅都還沒有確定嘛對不對 |
| transcript.whisperx[16].start |
385.766 |
| transcript.whisperx[16].end |
402.504 |
| transcript.whisperx[16].text |
是的那我请教一下部长有关于汽车关税的部分这个汽车工会全联会他们是说他们有去跟曾立军副院长有谈过他说这个未来零关税 |
| transcript.whisperx[17].start |
403.886 |
| transcript.whisperx[17].end |
427.605 |
| transcript.whisperx[17].text |
僅對美規車有利其他國家進口車輛會維持到17.5%不過也尚未定案然後未來因為現在我們是把汽車整車零組件跟半導體晶片一併納入談判但是未來也不排除美規車有機會享有零關稅我想請教一下部長有關於關稅的部分 |
| transcript.whisperx[18].start |
430.909 |
| transcript.whisperx[18].end |
433.842 |
| transcript.whisperx[18].text |
是不是美規車進來未來有可能是零關稅 |
| transcript.whisperx[19].start |
435.663 |
| transcript.whisperx[19].end |
440.385 |
| transcript.whisperx[19].text |
部分因為台美關稅談判持續在進行當中那未來是稅率會多少就美國車進來是多少那還在談判過程當中那現行的是17.5那只能說我們只能說這個談判只針對美國進口的汽車那其他國家進口車子應該是維持17.5%那除非我們雙邊再來談所謂的貿易協定大概是這樣子 |
| transcript.whisperx[20].start |
461.995 |
| transcript.whisperx[20].end |
488.702 |
| transcript.whisperx[20].text |
所以現在按照部長的說法就是說除了從美國進口的車美規車進來關稅會調降但是調降幅度多少還不知道是不是調降以及調降的幅度我想都是在談判過程當中我們的談判團隊會提出的這個部分我並沒有但是美方有要求一定要調降對不對這個部分我想談判團隊會更清楚甚至是有談到說關稅會降到零 |
| transcript.whisperx[21].start |
491.352 |
| transcript.whisperx[21].end |
514.39 |
| transcript.whisperx[21].text |
这个部分我也不是那么清楚对不确定这个跟你有关系你怎么会不清楚这个是在谈判团队在谈判过程当中的事项但是你们一定有提供相关的资料给我们谈判团队对不对当然我们会把历年来的一个进口量或者是价值都要做基础的资料提供是作为他们在研判上的一个基本的背景资料对 |
| transcript.whisperx[22].start |
514.91 |
| transcript.whisperx[22].end |
541.189 |
| transcript.whisperx[22].text |
那所以刚才部长有讲说那其他的进口车其他国家进口车一样会维持目前的关税17.5%就对了不会受到影响因为这是我们台美之间的双边的谈判对好那再请教一下因为现在这个在台北港这个车子大概有大概三万多辆左右那现在也因为说关税 |
| transcript.whisperx[23].start |
542.611 |
| transcript.whisperx[23].end |
560.531 |
| transcript.whisperx[23].text |
甚至連貨物稅都還沒辦法確定那是不是在這種情況之下這個車子一樣會繼續放在那邊就對了貨物稅的部分已經經過大院修正的貨物稅條例已經確定那至於台北關那邊到底有多少數量是不是請我們關務署署長來做一個說明署長 |
| transcript.whisperx[24].start |
562.731 |
| transcript.whisperx[24].end |
582.441 |
| transcript.whisperx[24].text |
包委員在台北港那邊有1萬6千多輛現在是1萬6千多輛對有減少是不是有 有減少現在目前大概台北港跟台中港兩個加起來大概是1萬9千輛左右那所以總共加起來的在那個港口車輛有多少台北港跟台中港加起來 |
| transcript.whisperx[25].start |
583.041 |
| transcript.whisperx[25].end |
600.8 |
| transcript.whisperx[25].text |
一萬九千多輛那所以有一萬多輛已經有出去了對這一兩個月有減少了一個幅度那減少的最主要的原因是什麼就是如果說課稅區有這個需求的話廠商自然會從保稅區裡面把這個車輛送到課稅區裡面可是現在關稅都還沒有確定啊 |
| transcript.whisperx[26].start |
606.949 |
| transcript.whisperx[26].end |
633.734 |
| transcript.whisperx[26].text |
是 廠商如果說國內有購買汽車他還是會從保稅區裡面把車輛保稅區還稅之後送到課稅區那您預期是不是關稅確定之後不管是多少目前趨勢應該是往下降因為你跟美國談不可能說不跟你還是維持在17.5%一定會往下降那如果關稅確定之後這個現象是不是就會得到緩解 |
| transcript.whisperx[27].start |
634.822 |
| transcript.whisperx[27].end |
656.096 |
| transcript.whisperx[27].text |
跟委員報告海美協議當然要送到立法院來委員這邊通過另外還要修海關進口稅則這都需要一段時間那所以也不是說關稅確定之後的確不是說跟美方談了之後公佈了馬上就調降我們還是要走立法的程序 |
| transcript.whisperx[28].start |
656.776 |
| transcript.whisperx[28].end |
664.148 |
| transcript.whisperx[28].text |
那大概我們如果說確定比如說下個月下個月關稅就確定了零關稅的話那大概多久我們能夠確定 |
| transcript.whisperx[29].start |
666.482 |
| transcript.whisperx[29].end |
685.865 |
| transcript.whisperx[29].text |
跟委員報告談成的協議還要送立法院通過立法院通過了台美雙方的協議還要修海關進口稅則這都可能會有至少因為對於車商來講關稅不確定性的影響幅度會比說到底確定是多少影響是更大啦是好 謝謝 |
| transcript.whisperx[30].start |
698.563 |
| transcript.whisperx[30].end |
700.64 |
| transcript.whisperx[30].text |
接下來我們請王世堅委員 |