IVOD_ID |
163530 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163530 |
日期 |
2025-08-15 |
會議資料.會議代碼 |
院會-11-3-25 |
會議資料.會議代碼:str |
第11屆第3會期第25次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
25 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第25次會議 |
影片種類 |
Clip |
開始時間 |
2025-08-15T14:46:31+08:00 |
結束時間 |
2025-08-15T15:02:44+08:00 |
影片長度 |
00:16:13 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/feafe23bd7168de6212c1b927a403d8818cf3659852ed25088e117da0b2e71516e64d1a1634640805ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王鴻薇 |
委員發言時間 |
14:46:31 - 15:02:44 |
會議時間 |
2025-08-15T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第25次會議(事由:一、行政院院長提出「新世代打擊詐欺策略行動綱領2.0執行成效」專案報告並備質詢(8月15日)。二、行政院院長提出「全額撥付114年度對地方政府之一般性補助款及原住民族地區基本設施維持費等相關事宜」專案報告並備質詢(8月19日)。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
8.02971875 |
transcript.pyannote[0].end |
10.37534375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
10.78034375 |
transcript.pyannote[1].end |
12.56909375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
13.49721875 |
transcript.pyannote[2].end |
14.44221875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
15.23534375 |
transcript.pyannote[3].end |
18.08721875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
16.88909375 |
transcript.pyannote[4].end |
17.37846875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
19.08284375 |
transcript.pyannote[5].end |
19.45409375 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
20.26409375 |
transcript.pyannote[6].end |
23.95971875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
20.29784375 |
transcript.pyannote[7].end |
21.24284375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
24.19596875 |
transcript.pyannote[8].end |
29.07284375 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
27.26721875 |
transcript.pyannote[9].end |
33.20721875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
33.20721875 |
transcript.pyannote[10].end |
35.78909375 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
44.78346875 |
transcript.pyannote[11].end |
45.47534375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
45.47534375 |
transcript.pyannote[12].end |
46.30221875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
45.77909375 |
transcript.pyannote[13].end |
46.08284375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
50.06534375 |
transcript.pyannote[14].end |
54.09846875 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
53.74409375 |
transcript.pyannote[15].end |
54.62159375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
54.89159375 |
transcript.pyannote[16].end |
55.16159375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
55.80284375 |
transcript.pyannote[17].end |
56.14034375 |
transcript.pyannote[18].speaker |
SPEAKER_03 |
transcript.pyannote[18].start |
56.52846875 |
transcript.pyannote[18].end |
57.13596875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
56.61284375 |
transcript.pyannote[19].end |
57.27096875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
57.35534375 |
transcript.pyannote[20].end |
58.73909375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
58.97534375 |
transcript.pyannote[21].end |
64.17284375 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
65.48909375 |
transcript.pyannote[22].end |
68.18909375 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
68.32409375 |
transcript.pyannote[23].end |
69.52221875 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
69.92721875 |
transcript.pyannote[24].end |
74.17971875 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
74.36534375 |
transcript.pyannote[25].end |
77.67284375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
74.41596875 |
transcript.pyannote[26].end |
74.43284375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
74.43284375 |
transcript.pyannote[27].end |
74.77034375 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
78.17909375 |
transcript.pyannote[28].end |
80.82846875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
78.19596875 |
transcript.pyannote[29].end |
78.60096875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
79.27596875 |
transcript.pyannote[30].end |
82.02659375 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
82.19534375 |
transcript.pyannote[31].end |
88.40534375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
89.01284375 |
transcript.pyannote[32].end |
99.03659375 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
96.79221875 |
transcript.pyannote[33].end |
98.44596875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
99.52596875 |
transcript.pyannote[34].end |
104.62221875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
103.62659375 |
transcript.pyannote[35].end |
104.31846875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
105.14534375 |
transcript.pyannote[36].end |
109.60034375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
107.06909375 |
transcript.pyannote[37].end |
111.06846875 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
111.38909375 |
transcript.pyannote[38].end |
114.76409375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
115.50659375 |
transcript.pyannote[39].end |
121.85159375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
122.22284375 |
transcript.pyannote[40].end |
126.34034375 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
125.29409375 |
transcript.pyannote[41].end |
127.47096875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
127.40346875 |
transcript.pyannote[42].end |
135.68909375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
127.79159375 |
transcript.pyannote[43].end |
127.99409375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
134.62596875 |
transcript.pyannote[44].end |
139.38471875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
139.78971875 |
transcript.pyannote[45].end |
141.56159375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
142.21971875 |
transcript.pyannote[46].end |
148.59846875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
148.95284375 |
transcript.pyannote[47].end |
151.90596875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
152.07471875 |
transcript.pyannote[48].end |
153.27284375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
153.35721875 |
transcript.pyannote[49].end |
208.21784375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
208.50471875 |
transcript.pyannote[50].end |
210.78284375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
211.13721875 |
transcript.pyannote[51].end |
211.86284375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
212.26784375 |
transcript.pyannote[52].end |
217.00971875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
217.51596875 |
transcript.pyannote[53].end |
218.89971875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
219.45659375 |
transcript.pyannote[54].end |
223.01721875 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
223.38846875 |
transcript.pyannote[55].end |
232.48409375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
232.97346875 |
transcript.pyannote[56].end |
234.32346875 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
234.61034375 |
transcript.pyannote[57].end |
239.04846875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
239.33534375 |
transcript.pyannote[58].end |
258.25221875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
258.40409375 |
transcript.pyannote[59].end |
260.27721875 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
260.63159375 |
transcript.pyannote[60].end |
270.75659375 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
271.75221875 |
transcript.pyannote[61].end |
274.94159375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
275.24534375 |
transcript.pyannote[62].end |
285.52221875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
285.69096875 |
transcript.pyannote[63].end |
286.56846875 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
287.46284375 |
transcript.pyannote[64].end |
291.12471875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
291.54659375 |
transcript.pyannote[65].end |
297.87471875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
298.27971875 |
transcript.pyannote[66].end |
300.13596875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
300.67596875 |
transcript.pyannote[67].end |
308.45534375 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
308.89409375 |
transcript.pyannote[68].end |
313.34909375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
313.95659375 |
transcript.pyannote[69].end |
314.73284375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
315.10409375 |
transcript.pyannote[70].end |
315.98159375 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
316.43721875 |
transcript.pyannote[71].end |
318.27659375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
318.76596875 |
transcript.pyannote[72].end |
320.99346875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
321.60096875 |
transcript.pyannote[73].end |
323.82846875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
324.19971875 |
transcript.pyannote[74].end |
325.02659375 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
325.39784375 |
transcript.pyannote[75].end |
325.92096875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
327.05159375 |
transcript.pyannote[76].end |
327.52409375 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
328.51971875 |
transcript.pyannote[77].end |
329.53221875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
329.85284375 |
transcript.pyannote[78].end |
334.59471875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
334.94909375 |
transcript.pyannote[79].end |
336.50159375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
336.87284375 |
transcript.pyannote[80].end |
339.65721875 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
340.70346875 |
transcript.pyannote[81].end |
341.63159375 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
342.10409375 |
transcript.pyannote[82].end |
345.51284375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
345.91784375 |
transcript.pyannote[83].end |
349.51221875 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
349.90034375 |
transcript.pyannote[84].end |
351.09846875 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
351.38534375 |
transcript.pyannote[85].end |
352.14471875 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
352.53284375 |
transcript.pyannote[86].end |
355.01346875 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
355.36784375 |
transcript.pyannote[87].end |
356.21159375 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
356.46471875 |
transcript.pyannote[88].end |
358.03409375 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
358.33784375 |
transcript.pyannote[89].end |
358.75971875 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
359.23221875 |
transcript.pyannote[90].end |
361.10534375 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
361.49346875 |
transcript.pyannote[91].end |
363.21471875 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
363.36659375 |
transcript.pyannote[92].end |
364.98659375 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
365.29034375 |
transcript.pyannote[93].end |
369.50909375 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
368.26034375 |
transcript.pyannote[94].end |
373.52534375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
373.98096875 |
transcript.pyannote[95].end |
406.24596875 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
406.85346875 |
transcript.pyannote[96].end |
407.96721875 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
408.64221875 |
transcript.pyannote[97].end |
408.99659375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
409.75596875 |
transcript.pyannote[98].end |
411.96659375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
412.65846875 |
transcript.pyannote[99].end |
414.64971875 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
414.93659375 |
transcript.pyannote[100].end |
417.78846875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
418.21034375 |
transcript.pyannote[101].end |
421.68659375 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
422.00721875 |
transcript.pyannote[102].end |
426.31034375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
427.17096875 |
transcript.pyannote[103].end |
428.38596875 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
428.74034375 |
transcript.pyannote[104].end |
429.28034375 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
429.78659375 |
transcript.pyannote[105].end |
435.16971875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
436.14846875 |
transcript.pyannote[106].end |
442.13909375 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
442.67909375 |
transcript.pyannote[107].end |
447.26909375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
447.65721875 |
transcript.pyannote[108].end |
451.03221875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
451.45409375 |
transcript.pyannote[109].end |
457.36034375 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
457.95096875 |
transcript.pyannote[110].end |
460.17846875 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
460.46534375 |
transcript.pyannote[111].end |
462.23721875 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
462.40596875 |
transcript.pyannote[112].end |
464.39721875 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
464.85284375 |
transcript.pyannote[113].end |
467.40096875 |
transcript.pyannote[114].speaker |
SPEAKER_03 |
transcript.pyannote[114].start |
467.77221875 |
transcript.pyannote[114].end |
470.18534375 |
transcript.pyannote[115].speaker |
SPEAKER_03 |
transcript.pyannote[115].start |
470.52284375 |
transcript.pyannote[115].end |
472.88534375 |
transcript.pyannote[116].speaker |
SPEAKER_03 |
transcript.pyannote[116].start |
473.37471875 |
transcript.pyannote[116].end |
477.59346875 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
477.88034375 |
transcript.pyannote[117].end |
481.00221875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
480.36096875 |
transcript.pyannote[118].end |
481.59284375 |
transcript.pyannote[119].speaker |
SPEAKER_03 |
transcript.pyannote[119].start |
481.12034375 |
transcript.pyannote[119].end |
482.28471875 |
transcript.pyannote[120].speaker |
SPEAKER_03 |
transcript.pyannote[120].start |
482.58846875 |
transcript.pyannote[120].end |
484.69784375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
484.52909375 |
transcript.pyannote[121].end |
485.65971875 |
transcript.pyannote[122].speaker |
SPEAKER_03 |
transcript.pyannote[122].start |
485.10284375 |
transcript.pyannote[122].end |
489.05159375 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
489.27096875 |
transcript.pyannote[123].end |
493.69221875 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
490.84034375 |
transcript.pyannote[124].end |
491.34659375 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
491.53221875 |
transcript.pyannote[125].end |
492.76409375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
493.03409375 |
transcript.pyannote[126].end |
494.16471875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
494.43471875 |
transcript.pyannote[127].end |
495.93659375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
496.15596875 |
transcript.pyannote[128].end |
509.31846875 |
transcript.pyannote[129].speaker |
SPEAKER_03 |
transcript.pyannote[129].start |
508.35659375 |
transcript.pyannote[129].end |
510.06096875 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
509.50409375 |
transcript.pyannote[130].end |
515.86596875 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
510.36471875 |
transcript.pyannote[131].end |
511.20846875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
516.16971875 |
transcript.pyannote[132].end |
517.18221875 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
517.30034375 |
transcript.pyannote[133].end |
524.92784375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
525.95721875 |
transcript.pyannote[134].end |
530.31096875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
530.98596875 |
transcript.pyannote[135].end |
537.80346875 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
538.02284375 |
transcript.pyannote[136].end |
540.73971875 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
540.75659375 |
transcript.pyannote[137].end |
542.56221875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
543.03471875 |
transcript.pyannote[138].end |
549.63284375 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
550.03784375 |
transcript.pyannote[139].end |
552.63659375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
552.92346875 |
transcript.pyannote[140].end |
554.22284375 |
transcript.pyannote[141].speaker |
SPEAKER_03 |
transcript.pyannote[141].start |
554.66159375 |
transcript.pyannote[141].end |
573.56159375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
565.14096875 |
transcript.pyannote[142].end |
565.96784375 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
565.96784375 |
transcript.pyannote[143].end |
566.03534375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
566.03534375 |
transcript.pyannote[144].end |
566.15346875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
566.15346875 |
transcript.pyannote[145].end |
566.20409375 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
567.55409375 |
transcript.pyannote[146].end |
567.90846875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
573.17346875 |
transcript.pyannote[147].end |
574.79346875 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
575.14784375 |
transcript.pyannote[148].end |
580.15971875 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
580.41284375 |
transcript.pyannote[149].end |
581.29034375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
581.99909375 |
transcript.pyannote[150].end |
589.57596875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
589.67721875 |
transcript.pyannote[151].end |
591.93846875 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
592.32659375 |
transcript.pyannote[152].end |
606.28221875 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
606.61971875 |
transcript.pyannote[153].end |
607.24409375 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
607.51409375 |
transcript.pyannote[154].end |
610.29846875 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
610.51784375 |
transcript.pyannote[155].end |
611.90159375 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
611.96909375 |
transcript.pyannote[156].end |
612.03659375 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
612.07034375 |
transcript.pyannote[157].end |
616.66034375 |
transcript.pyannote[158].speaker |
SPEAKER_03 |
transcript.pyannote[158].start |
616.96409375 |
transcript.pyannote[158].end |
617.87534375 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
617.99346875 |
transcript.pyannote[159].end |
620.28846875 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
620.38971875 |
transcript.pyannote[160].end |
621.92534375 |
transcript.pyannote[161].speaker |
SPEAKER_03 |
transcript.pyannote[161].start |
622.49909375 |
transcript.pyannote[161].end |
623.59596875 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
624.10221875 |
transcript.pyannote[162].end |
629.08034375 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
627.59534375 |
transcript.pyannote[163].end |
637.97346875 |
transcript.pyannote[164].speaker |
SPEAKER_03 |
transcript.pyannote[164].start |
629.63721875 |
transcript.pyannote[164].end |
631.56096875 |
transcript.pyannote[165].speaker |
SPEAKER_03 |
transcript.pyannote[165].start |
638.22659375 |
transcript.pyannote[165].end |
639.15471875 |
transcript.pyannote[166].speaker |
SPEAKER_03 |
transcript.pyannote[166].start |
639.55971875 |
transcript.pyannote[166].end |
650.39346875 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
650.39346875 |
transcript.pyannote[167].end |
651.94596875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
652.19909375 |
transcript.pyannote[168].end |
663.91034375 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
664.55159375 |
transcript.pyannote[169].end |
665.49659375 |
transcript.pyannote[170].speaker |
SPEAKER_03 |
transcript.pyannote[170].start |
666.89721875 |
transcript.pyannote[170].end |
667.77471875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
667.77471875 |
transcript.pyannote[171].end |
670.47471875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
671.06534375 |
transcript.pyannote[172].end |
676.66784375 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
677.00534375 |
transcript.pyannote[173].end |
681.84846875 |
transcript.pyannote[174].speaker |
SPEAKER_03 |
transcript.pyannote[174].start |
682.05096875 |
transcript.pyannote[174].end |
684.78471875 |
transcript.pyannote[175].speaker |
SPEAKER_03 |
transcript.pyannote[175].start |
684.90284375 |
transcript.pyannote[175].end |
687.24846875 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
687.51846875 |
transcript.pyannote[176].end |
690.31971875 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
689.25659375 |
transcript.pyannote[177].end |
693.81284375 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
694.16721875 |
transcript.pyannote[178].end |
718.16346875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
718.68659375 |
transcript.pyannote[179].end |
722.97284375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
723.41159375 |
transcript.pyannote[180].end |
731.49471875 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
731.95034375 |
transcript.pyannote[181].end |
735.10596875 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
735.66284375 |
transcript.pyannote[182].end |
737.01284375 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
737.65409375 |
transcript.pyannote[183].end |
751.98096875 |
transcript.pyannote[184].speaker |
SPEAKER_03 |
transcript.pyannote[184].start |
752.25096875 |
transcript.pyannote[184].end |
755.86221875 |
transcript.pyannote[185].speaker |
SPEAKER_03 |
transcript.pyannote[185].start |
756.31784375 |
transcript.pyannote[185].end |
757.09409375 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
757.58346875 |
transcript.pyannote[186].end |
762.29159375 |
transcript.pyannote[187].speaker |
SPEAKER_03 |
transcript.pyannote[187].start |
762.52784375 |
transcript.pyannote[187].end |
764.48534375 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
764.89034375 |
transcript.pyannote[188].end |
772.65284375 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
773.00721875 |
transcript.pyannote[189].end |
780.51659375 |
transcript.pyannote[190].speaker |
SPEAKER_03 |
transcript.pyannote[190].start |
773.14221875 |
transcript.pyannote[190].end |
773.59784375 |
transcript.pyannote[191].speaker |
SPEAKER_03 |
transcript.pyannote[191].start |
781.10721875 |
transcript.pyannote[191].end |
783.36846875 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
781.14096875 |
transcript.pyannote[192].end |
783.75659375 |
transcript.pyannote[193].speaker |
SPEAKER_03 |
transcript.pyannote[193].start |
783.75659375 |
transcript.pyannote[193].end |
784.71846875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
785.03909375 |
transcript.pyannote[194].end |
787.24971875 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
788.36346875 |
transcript.pyannote[195].end |
788.81909375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
789.52784375 |
transcript.pyannote[196].end |
798.28596875 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
798.38721875 |
transcript.pyannote[197].end |
803.39909375 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
803.95596875 |
transcript.pyannote[198].end |
806.74034375 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
806.99346875 |
transcript.pyannote[199].end |
813.81096875 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
814.60409375 |
transcript.pyannote[200].end |
815.71784375 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
816.10596875 |
transcript.pyannote[201].end |
818.50221875 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
818.78909375 |
transcript.pyannote[202].end |
819.26159375 |
transcript.pyannote[203].speaker |
SPEAKER_03 |
transcript.pyannote[203].start |
820.57784375 |
transcript.pyannote[203].end |
820.74659375 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
821.42159375 |
transcript.pyannote[204].end |
822.85596875 |
transcript.pyannote[205].speaker |
SPEAKER_03 |
transcript.pyannote[205].start |
823.61534375 |
transcript.pyannote[205].end |
825.52221875 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
824.77971875 |
transcript.pyannote[206].end |
825.47159375 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
825.91034375 |
transcript.pyannote[207].end |
828.54284375 |
transcript.pyannote[208].speaker |
SPEAKER_03 |
transcript.pyannote[208].start |
828.81284375 |
transcript.pyannote[208].end |
836.65971875 |
transcript.pyannote[209].speaker |
SPEAKER_03 |
transcript.pyannote[209].start |
837.03096875 |
transcript.pyannote[209].end |
842.90346875 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
842.71784375 |
transcript.pyannote[210].end |
877.49721875 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
867.77721875 |
transcript.pyannote[211].end |
869.05971875 |
transcript.pyannote[212].speaker |
SPEAKER_03 |
transcript.pyannote[212].start |
873.83534375 |
transcript.pyannote[212].end |
874.67909375 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
878.30721875 |
transcript.pyannote[213].end |
881.27721875 |
transcript.pyannote[214].speaker |
SPEAKER_03 |
transcript.pyannote[214].start |
881.19284375 |
transcript.pyannote[214].end |
882.39096875 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
881.93534375 |
transcript.pyannote[215].end |
885.68159375 |
transcript.pyannote[216].speaker |
SPEAKER_03 |
transcript.pyannote[216].start |
885.15846875 |
transcript.pyannote[216].end |
891.36846875 |
transcript.pyannote[217].speaker |
SPEAKER_03 |
transcript.pyannote[217].start |
891.65534375 |
transcript.pyannote[217].end |
893.74784375 |
transcript.pyannote[218].speaker |
SPEAKER_03 |
transcript.pyannote[218].start |
893.79846875 |
transcript.pyannote[218].end |
894.77721875 |
transcript.pyannote[219].speaker |
SPEAKER_03 |
transcript.pyannote[219].start |
895.13159375 |
transcript.pyannote[219].end |
897.19034375 |
transcript.pyannote[220].speaker |
SPEAKER_03 |
transcript.pyannote[220].start |
897.35909375 |
transcript.pyannote[220].end |
898.00034375 |
transcript.pyannote[221].speaker |
SPEAKER_03 |
transcript.pyannote[221].start |
898.23659375 |
transcript.pyannote[221].end |
899.87346875 |
transcript.pyannote[222].speaker |
SPEAKER_03 |
transcript.pyannote[222].start |
900.63284375 |
transcript.pyannote[222].end |
905.83034375 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
906.60659375 |
transcript.pyannote[223].end |
917.72721875 |
transcript.pyannote[224].speaker |
SPEAKER_03 |
transcript.pyannote[224].start |
910.67346875 |
transcript.pyannote[224].end |
911.87159375 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
917.94659375 |
transcript.pyannote[225].end |
926.08034375 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
926.33346875 |
transcript.pyannote[226].end |
931.75034375 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
932.07096875 |
transcript.pyannote[227].end |
934.83846875 |
transcript.pyannote[228].speaker |
SPEAKER_02 |
transcript.pyannote[228].start |
935.47971875 |
transcript.pyannote[228].end |
941.30159375 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
941.67284375 |
transcript.pyannote[229].end |
948.91221875 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
949.28346875 |
transcript.pyannote[230].end |
955.27409375 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
955.61159375 |
transcript.pyannote[231].end |
957.38346875 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
968.35221875 |
transcript.pyannote[232].end |
968.43659375 |
transcript.pyannote[233].speaker |
SPEAKER_02 |
transcript.pyannote[233].start |
968.55471875 |
transcript.pyannote[233].end |
968.97659375 |
transcript.pyannote[234].speaker |
SPEAKER_02 |
transcript.pyannote[234].start |
969.04409375 |
transcript.pyannote[234].end |
969.39846875 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
972.97596875 |
transcript.pyannote[235].end |
974.96721875 |
transcript.whisperx[0].start |
8.309 |
transcript.whisperx[0].end |
35.229 |
transcript.whisperx[0].text |
主席 我請卓院長還有內政部部長NCC代理主委好 謝謝庶發部部長金管會主委法務部部長王護衛 我們一次是三位為主一次三位 好那就先請院長和內政部部長以及法務部部長好 謝謝請卓院長內政部法務部備詢 |
transcript.whisperx[1].start |
44.984 |
transcript.whisperx[1].end |
52.61 |
transcript.whisperx[1].text |
黃委員好時間要暫停一下我想請問一下針對現在政府反詐騙的成績您滿意嗎 |
transcript.whisperx[2].start |
65.509 |
transcript.whisperx[2].end |
87.658 |
transcript.whisperx[2].text |
早上也有相當多的委員詢問過這樣我始終的答案是我知道我跟國人一樣都不會滿意現在的任何成績但是我希望大家給我們第一線的工作人員多一點的鼓勵多一點的時間我們內政部長您認為在內政部的工作打照有收到成效嗎您滿意嗎 |
transcript.whisperx[3].start |
89.5 |
transcript.whisperx[3].end |
114.062 |
transcript.whisperx[3].text |
報告 報告委員 從來沒有滿意過因為打炸本來就是有很多不同的面向 大家一起合作所以成效仍然不髒我們第一線的同仁確實很努力 非常的努力在處理打炸有成效嗎我認為成效不是太好 不夠好來 我請教我們法務部部長您對法務部打炸的成效 您滿意嗎 |
transcript.whisperx[4].start |
115.923 |
transcript.whisperx[4].end |
141.224 |
transcript.whisperx[4].text |
我想我們可以再更有努力的一個空間那我想我們檢察官也跟各個機關來做一個合作好 所以成效仍然不夠好對 那個我們有很多的非常好的一個案例那我想對一個兆團這其實也建立一個很好的一個我來請院長和部長其實我剛才點名的幾位部長首長也請你們看一下 |
transcript.whisperx[5].start |
142.265 |
transcript.whisperx[5].end |
171.565 |
transcript.whisperx[5].text |
行政院一直把打詐作為一個主要的施政的目標但是這幾年行政院變成伏詐王也就是從蔡英文政府時代那個時候從成立所謂的跨部會中心的打詐中心一直到2022年又成立了打詐國家隊2023年蔡政府又成立了行政院的打詐辦公室 |
transcript.whisperx[6].start |
172.285 |
transcript.whisperx[6].end |
190.27 |
transcript.whisperx[6].text |
可是我們打詐的金額跟數量逐年升高並沒有隨著這些打詐中心打詐辦公室而有所改善而這兩年我們打詐就是被詐騙的金額更是節節升高 |
transcript.whisperx[7].start |
191.01 |
transcript.whisperx[7].end |
207.566 |
transcript.whisperx[7].text |
以今年一到七月份我們半年被詐騙的金額達到555億元比去年的502年已經超越了而這個是我們行政院又成立新世代打擊詐騙詐欺行動綱領的2.0所以 |
transcript.whisperx[8].start |
212.35 |
transcript.whisperx[8].end |
232.206 |
transcript.whisperx[8].text |
我們現在每一個首長都說要打詐 預算也編了但是如果我們看被詐騙的數字 尤其金額事實上是越來越讓人觸目驚心所以行政院變成伏詐王 而不是打詐王 |
transcript.whisperx[9].start |
233.027 |
transcript.whisperx[9].end |
250.335 |
transcript.whisperx[9].text |
那我另外請教在今年我們編列了預算2025年中央政府就是當時因為要打炸所以呢這個有關於打炸的預算由前一年的2024年13億元增加到73億元 |
transcript.whisperx[10].start |
252.576 |
transcript.whisperx[10].end |
270.481 |
transcript.whisperx[10].text |
增加的數量不算少是倍數5.6倍之多那我想請問一下這麼多的預算的金額其中還是網路課金運用的經濟計劃所以我剛才為什麼去特別去點名像數法部NCC |
transcript.whisperx[11].start |
272.126 |
transcript.whisperx[11].end |
286.173 |
transcript.whisperx[11].text |
請問一下我們的預算用到哪裡去了為什麼我們編列這麼多的預算給行政院說實在我在司法法治委員會發布說要打仗要編預算我們一毛錢都不敢刪全部給 |
transcript.whisperx[12].start |
287.506 |
transcript.whisperx[12].end |
313.142 |
transcript.whisperx[12].text |
但是我們打炸的成績剛才看到鴨鴨屋所以我想請問一下這樣子的一個成績所以我剛才請教各位你們滿意嗎如果你們滿意的話我覺得所有的老百姓欲哭無淚你們在報告裡面也講到打炸有幾個是炸這個是主要是內政部的工作 |
transcript.whisperx[13].start |
314.002 |
transcript.whisperx[13].end |
333.674 |
transcript.whisperx[13].text |
賭詐NCC防詐速發部阻詐金管會懲詐懲戒詐騙法務部所以院長最近也講到行政院要內閣改組如果以現在詐騙這種成績這幾個部會誰應該要下台部長請說一下 |
transcript.whisperx[14].start |
341.189 |
transcript.whisperx[14].end |
357.647 |
transcript.whisperx[14].text |
謝謝委員打炸當然是國家重要的施政方向但是各部會不是單一做打炸這件工作我當然會要求各位首長專注在打炸這個事情上提出一個更讓國人理解跟接受的成績 |
transcript.whisperx[15].start |
358.388 |
transcript.whisperx[15].end |
372.987 |
transcript.whisperx[15].text |
但是部會的工作包羅萬象我會用綜合性的考量來看看對整個團隊對政府的施政對人民有沒有提出我們政府的施政終究會有一些目標跟KPI值 |
transcript.whisperx[16].start |
374.048 |
transcript.whisperx[16].end |
403.423 |
transcript.whisperx[16].text |
那麼有些是財經財經做的好不好那就要看了看我們的經濟成長率看我們的失業率看我們的消費物價是不是有通貨膨脹這都是有數字可以去做一個參考剛才講到這幾個部會沒有錯我也同意他的工作不是完全是在打擊詐騙可是當現在的打詐的工作已經確實做到所有的國人都有感 |
transcript.whisperx[17].start |
403.763 |
transcript.whisperx[17].end |
425.652 |
transcript.whisperx[17].text |
那種有感是什麼有感的憤怒啊有感的憤怒現在已經到了摩才害命的地步我們最近發生的台中豐原一家五口都我們很難過自殺死亡為了詐騙我們也有看到內湖母女一對母女也為了詐騙 |
transcript.whisperx[18].start |
427.233 |
transcript.whisperx[18].end |
434.989 |
transcript.whisperx[18].text |
而這個輕生所以當我們看到這麼多的社會事件而我們去看到打炸的成績所以 |
transcript.whisperx[19].start |
436.172 |
transcript.whisperx[19].end |
456.85 |
transcript.whisperx[19].text |
院長你覺得這幾個部會打詐的成績我不認為你會滿意如果你滿意的話那就代表你們是整個政府的集體麻木所以我想請問未來在內閣改組裡面打詐不力會不會成為內閣改組的一個檢討的其中的一個環節 |
transcript.whisperx[20].start |
457.967 |
transcript.whisperx[20].end |
481.59 |
transcript.whisperx[20].text |
我早上的報告跟剛剛我們都說過我們不會以現在做的成績做任何的滿意但是我們如果跟去年8月跟今年相比我們在案件數有降低了22%財產損失有降低了37%這當然還是有相當高的金額但至少趨勢有在緩緩下降我們給我們的法律依據法律手段更多的這個意思還要給你們時間 |
transcript.whisperx[21].start |
482.671 |
transcript.whisperx[21].end |
486.754 |
transcript.whisperx[21].text |
我希望大家給我們更多一點時間我們把現在的機制讓它更完善更強大依照現在所列舉的各種機制來做好各種工作這就是你不了解為什麼你們現在的整個內閣的民調滿意度這麼低 |
transcript.whisperx[22].start |
501.565 |
transcript.whisperx[22].end |
529.511 |
transcript.whisperx[22].text |
其實老說所有的相關的這些政府施政打詐是民運最高的其中之一同不同意同意好那另外院長跟您請教一下我們再來看下一頁今天在網路上有一個公文因為現在詐騙太多了我要跟院長來求證一下網路上有一個公文就是總統府函文給行政院 |
transcript.whisperx[23].start |
532.002 |
transcript.whisperx[23].end |
553.664 |
transcript.whisperx[23].text |
這個檢証本府公共事務室會診就是今年7月份民眾關注的重要議題其中一個就是要檢討今年7月26號罷免投票結果檢討罷免失敗的原因而且提供後續的施政建議院長 這個公文是真的還是假的因為我不曉得是不是詐騙 |
transcript.whisperx[24].start |
554.987 |
transcript.whisperx[24].end |
580.92 |
transcript.whisperx[24].text |
我沒有看過這個公文但是如果文藝看起來他是反映民眾關注重要議題像這樣反映民眾關注議題的文會有相當多這只是很多當中的一件而已當民眾有提出這個時候希望行政院來檢討就會轉到這裡來這只是過程當中所以你就會檢討所以院長我看我想你看到這個公文的時候你會被皮皮剉因為第一個 |
transcript.whisperx[25].start |
582.06 |
transcript.whisperx[25].end |
610.112 |
transcript.whisperx[25].text |
在整個大罷免當時總統賴清德主席講說這是公民團體的運動但是後來我們看到民進黨中央有很多的發文民進黨直接拿公文要求配合大罷免這個是我們第一次看到來自於總統府提到大罷免所以請問一下這種公文到底是總統的韓文還是黨中央的韓文 |
transcript.whisperx[26].start |
610.652 |
transcript.whisperx[26].end |
637.486 |
transcript.whisperx[26].text |
報告委員他並不是要我們配合大罷免的任何行動他是民眾來要求我們做這樣的檢討但是我認為行政院重要的工作不在檢討罷免的成敗與否行政院檢討是罷免也好或是8月23的公投也好這個投票的秩序是不是順利這個公文裡面有說檢討罷免失敗原因承認大罷免大失敗所以您承認大罷免大失敗嗎 |
transcript.whisperx[27].start |
638.274 |
transcript.whisperx[27].end |
665.177 |
transcript.whisperx[27].text |
我們只希望不管是罷免或是公投讓罷免跟公投的投票行為能夠順利這個是行政院的工作中選會跟行政院的工作至於他的結果如何不在我們檢討的範圍另外院長我請教在726之後總統府已經要求你們要去檢討失敗的原因而且提供後續的政績那麼如果823也大罷免繼續大失敗您會因此請辭下台嗎 |
transcript.whisperx[28].start |
666.906 |
transcript.whisperx[28].end |
673.569 |
transcript.whisperx[28].text |
我們不會去檢討罷免失敗的原因只要罷免的投票順利不順利這才是行政院會檢討的地方希望他能夠順利那麼一個正式工作者隨時對國人負責 |
transcript.whisperx[29].start |
688.937 |
transcript.whisperx[29].end |
717.743 |
transcript.whisperx[29].text |
这是应该有的态度我刚才特别讲其实你的打仗大失败你们的打仗大失败绝对也是这次大罢免大失败的原因但是其中因为检讨有关于大罢免失败的原因我也要问因为这两天你们行政院传出终于要普发现金一万元因为之前行政院说我们立法院通过的普发现金一万元是违宪 |
transcript.whisperx[30].start |
718.783 |
transcript.whisperx[30].end |
736.568 |
transcript.whisperx[30].text |
然後又說呢這個呢根本是政府沒有錢那甚至有民進黨立委還說這是配合中共的窮台政策把我們立法院通過的普巴現金一萬元講的不值一文 |
transcript.whisperx[31].start |
737.708 |
transcript.whisperx[31].end |
756.722 |
transcript.whisperx[31].text |
那可是現在呢行政院也提出要撲發現金一萬元那我請問一下之前你們對於立法院所通過撲發現金一萬元的種種的污衊和抨擊這是不是一個詐騙這不是污衊我們是表達行政的立場我們要舉借這是事實 |
transcript.whisperx[32].start |
757.783 |
transcript.whisperx[32].end |
776.869 |
transcript.whisperx[32].text |
這次的2350億以上的普發現金其中部分要舉借債務來支應這是事實當時沒有經過徵詢行政院而增加大幅的支出違反了憲法跟預算法的精神這也是事實所以你們現在你們來發就沒有違憲你們來發就沒有財務的問題這個說得通嗎我們是舉債 |
transcript.whisperx[33].start |
785.097 |
transcript.whisperx[33].end |
813.426 |
transcript.whisperx[33].text |
然後我要跟院長說你們因為政治上的鬥爭一直在延遲整個的我們因應美國貿易戰特別條例我們的特別條例在7月15號就在立法院三讀通過8月1號總統府就公告如果你們不這樣折騰來折騰去一直在東搞西搞現在又搞一個特別條例 |
transcript.whisperx[34].start |
814.659 |
transcript.whisperx[34].end |
822.485 |
transcript.whisperx[34].text |
搞來特別條例接下來呢就要送特別預算對不對是這時辰有沒有延當 |
transcript.whisperx[35].start |
823.649 |
transcript.whisperx[35].end |
845.259 |
transcript.whisperx[35].text |
我們在特別條例通過的時候我們這時候談判正到最後的關頭我們也很希望在談判底定的時候是不是對特別條例內容要再做有所調整所以保留了一點彈性即使到現在為止談判的最後決定還沒有出現20%是暫時性關稅所以你自己都發現你站不住腳 |
transcript.whisperx[36].start |
845.799 |
transcript.whisperx[36].end |
867.319 |
transcript.whisperx[36].text |
因為你們自己說這是暫時性好如果20%暫時性你現在即便通過來的特別條例更不要說你們還沒有告訴我們有多少市場要開放還有美國多少的產品過來關稅要降低甚至是零關稅我們通通不知道一樣啊瞎子摸象啊一樣子啊摸石頭過河啊 |
transcript.whisperx[37].start |
868.04 |
transcript.whisperx[37].end |
876.999 |
transcript.whisperx[37].text |
那在這個狀況之下你們一直遲延 延遲又把特別條例送過來我再審你特別預算所以啊 院長 |
transcript.whisperx[38].start |
878.379 |
transcript.whisperx[38].end |
905.701 |
transcript.whisperx[38].text |
我老實說你們是不是多此一舉啊不是 8月1號行政院行政效率之低下就來自8月1號20%的特別的暫時性關稅才宣布出來8月7號開始執行那我們為了說暫時性關稅能夠延續多久還保留一個彈性所以我們在預算特別條例的修正案當中提出了第二期200億的保留我們有做這樣的彈性運用 請委員支持 |
transcript.whisperx[39].start |
906.67 |
transcript.whisperx[39].end |
926.48 |
transcript.whisperx[39].text |
我們其實有關於產業資源的部分我們都會支持所以我們當時第一時間你們從880億提高到930億我們都說無條件支持你們只是為了一個普巴現金因為這樣卡卡卡我有講過蘇貞昌院長當時普巴現金當時112年2月21號特別條例三讀然後當天總統府就公佈 |
transcript.whisperx[40].start |
935.544 |
transcript.whisperx[40].end |
957.195 |
transcript.whisperx[40].text |
即使如此特別預算搞了一個月才過來才三讀通過在那個時候特別條例經總統府公告然後特別預算也到一個月才通過但是那時候蘇貞昌院長算是他是有效率的所以我要在這邊講就是因為你們花了 |
transcript.whisperx[41].start |
973.032 |
transcript.whisperx[41].end |
974.333 |
transcript.whisperx[41].text |
好 謝謝王宏威委員質詢 |