IVOD_ID |
163461 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163461 |
日期 |
2025-08-12 |
會議資料.會議代碼 |
院會-11-3-24 |
會議資料.會議代碼:str |
第11屆第3會期第24次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
24 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第24次會議 |
影片種類 |
Clip |
開始時間 |
2025-08-12T17:00:27+08:00 |
結束時間 |
2025-08-12T17:16:06+08:00 |
影片長度 |
00:15:39 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/affd0e2636d87bdf064cda22341b8439a8bba6e65b10b0a5308214a715978499f6c8e88a0e872c475ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
林岱樺 |
委員發言時間 |
17:00:27 - 17:16:06 |
會議時間 |
2025-08-12T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第24次會議(事由:一、討論事項:本院台灣民眾黨黨團,建請院會作成決議:「邀請行政院院長率同相關部會首長就『新世代打擊詐欺策略行動綱領2.0執行成效』進行專案報告並備質詢。」是否有當?請公決案等13案。(8月8日)二、邀請行政院院長率同相關部會首長列席,提出「丹娜絲颱風及七二八豪雨災後復原重建」專案報告並備質詢。(8月12日)三、8月8日上午9時至10時為國是論壇時間。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.02659375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
1.21221875 |
transcript.pyannote[1].end |
2.88284375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
2.27534375 |
transcript.pyannote[2].end |
4.01346875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
15.28596875 |
transcript.pyannote[3].end |
15.30284375 |
transcript.pyannote[4].speaker |
SPEAKER_03 |
transcript.pyannote[4].start |
15.30284375 |
transcript.pyannote[4].end |
15.87659375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
15.87659375 |
transcript.pyannote[5].end |
15.97784375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
15.87659375 |
transcript.pyannote[6].end |
17.15909375 |
transcript.pyannote[7].speaker |
SPEAKER_03 |
transcript.pyannote[7].start |
15.97784375 |
transcript.pyannote[7].end |
18.01971875 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
18.08721875 |
transcript.pyannote[8].end |
21.27659375 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
21.88409375 |
transcript.pyannote[9].end |
25.61346875 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
26.05221875 |
transcript.pyannote[10].end |
29.91659375 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
29.96721875 |
transcript.pyannote[11].end |
31.03034375 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
31.40159375 |
transcript.pyannote[12].end |
32.51534375 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
33.07221875 |
transcript.pyannote[13].end |
35.97471875 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
36.54846875 |
transcript.pyannote[14].end |
40.19346875 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
40.48034375 |
transcript.pyannote[15].end |
46.84221875 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
47.24721875 |
transcript.pyannote[16].end |
48.24284375 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
48.79971875 |
transcript.pyannote[17].end |
50.85846875 |
transcript.pyannote[18].speaker |
SPEAKER_03 |
transcript.pyannote[18].start |
51.29721875 |
transcript.pyannote[18].end |
53.22096875 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
53.82846875 |
transcript.pyannote[19].end |
72.15471875 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
72.30659375 |
transcript.pyannote[20].end |
76.55909375 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
76.99784375 |
transcript.pyannote[21].end |
89.09721875 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
89.73846875 |
transcript.pyannote[22].end |
91.44284375 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
92.30346875 |
transcript.pyannote[23].end |
102.31034375 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
102.93471875 |
transcript.pyannote[24].end |
102.98534375 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
103.12034375 |
transcript.pyannote[25].end |
103.18784375 |
transcript.pyannote[26].speaker |
SPEAKER_03 |
transcript.pyannote[26].start |
103.23846875 |
transcript.pyannote[26].end |
107.11971875 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
107.60909375 |
transcript.pyannote[27].end |
116.75534375 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
117.21096875 |
transcript.pyannote[28].end |
133.79909375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
134.42346875 |
transcript.pyannote[29].end |
138.10221875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
138.33846875 |
transcript.pyannote[30].end |
140.92034375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
141.13971875 |
transcript.pyannote[31].end |
143.04659375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
143.53596875 |
transcript.pyannote[32].end |
146.75909375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
147.01221875 |
transcript.pyannote[33].end |
148.27784375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
148.56471875 |
transcript.pyannote[34].end |
151.85534375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
152.22659375 |
transcript.pyannote[35].end |
153.32346875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
154.65659375 |
transcript.pyannote[36].end |
155.16284375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
155.48346875 |
transcript.pyannote[37].end |
156.83346875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
157.10346875 |
transcript.pyannote[38].end |
158.30159375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
158.72346875 |
transcript.pyannote[39].end |
160.86659375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
161.22096875 |
transcript.pyannote[40].end |
163.83659375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
163.97159375 |
transcript.pyannote[41].end |
167.39721875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
167.54909375 |
transcript.pyannote[42].end |
169.40534375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
169.75971875 |
transcript.pyannote[43].end |
172.45971875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
172.78034375 |
transcript.pyannote[44].end |
174.33284375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
174.41721875 |
transcript.pyannote[45].end |
179.26034375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
179.53034375 |
transcript.pyannote[46].end |
182.61846875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
182.78721875 |
transcript.pyannote[47].end |
183.56346875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
183.69846875 |
transcript.pyannote[48].end |
185.68971875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
184.98096875 |
transcript.pyannote[49].end |
187.52909375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
187.27596875 |
transcript.pyannote[50].end |
200.64096875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
192.10221875 |
transcript.pyannote[51].end |
193.18221875 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
199.84784375 |
transcript.pyannote[52].end |
209.33159375 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
209.83784375 |
transcript.pyannote[53].end |
218.39346875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
210.54659375 |
transcript.pyannote[54].end |
211.45784375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
215.08596875 |
transcript.pyannote[55].end |
216.30096875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
216.97596875 |
transcript.pyannote[56].end |
220.58721875 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
220.01346875 |
transcript.pyannote[57].end |
221.32971875 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
221.75159375 |
transcript.pyannote[58].end |
241.56284375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
237.42846875 |
transcript.pyannote[59].end |
238.22159375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
238.66034375 |
transcript.pyannote[60].end |
239.84159375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
241.20846875 |
transcript.pyannote[61].end |
242.42346875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
242.91284375 |
transcript.pyannote[62].end |
245.86596875 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
246.37221875 |
transcript.pyannote[63].end |
247.38471875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
247.31721875 |
transcript.pyannote[64].end |
247.58721875 |
transcript.pyannote[65].speaker |
SPEAKER_03 |
transcript.pyannote[65].start |
247.62096875 |
transcript.pyannote[65].end |
249.12284375 |
transcript.pyannote[66].speaker |
SPEAKER_03 |
transcript.pyannote[66].start |
249.27471875 |
transcript.pyannote[66].end |
250.32096875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
250.27034375 |
transcript.pyannote[67].end |
250.48971875 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
250.54034375 |
transcript.pyannote[68].end |
252.98721875 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
253.10534375 |
transcript.pyannote[69].end |
255.13034375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
254.30346875 |
transcript.pyannote[70].end |
260.07471875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
260.17596875 |
transcript.pyannote[71].end |
261.50909375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
261.62721875 |
transcript.pyannote[72].end |
262.85909375 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
261.76221875 |
transcript.pyannote[73].end |
263.61846875 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
264.02346875 |
transcript.pyannote[74].end |
269.20409375 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
269.55846875 |
transcript.pyannote[75].end |
272.59596875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
270.80721875 |
transcript.pyannote[76].end |
270.92534375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
272.46096875 |
transcript.pyannote[77].end |
280.84784375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
280.93221875 |
transcript.pyannote[78].end |
280.94909375 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
280.94909375 |
transcript.pyannote[79].end |
283.19346875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
281.13471875 |
transcript.pyannote[80].end |
281.38784375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
283.56471875 |
transcript.pyannote[81].end |
286.24784375 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
286.60221875 |
transcript.pyannote[82].end |
290.80409375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
290.19659375 |
transcript.pyannote[83].end |
294.16221875 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
294.71909375 |
transcript.pyannote[84].end |
305.94096875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
296.94659375 |
transcript.pyannote[85].end |
297.14909375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
301.11471875 |
transcript.pyannote[86].end |
302.02596875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
304.64159375 |
transcript.pyannote[87].end |
305.16471875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
305.97471875 |
transcript.pyannote[88].end |
312.47159375 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
311.72909375 |
transcript.pyannote[89].end |
311.74596875 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
311.83034375 |
transcript.pyannote[90].end |
331.11846875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
323.47409375 |
transcript.pyannote[91].end |
325.87034375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
331.11846875 |
transcript.pyannote[92].end |
333.64971875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
334.39221875 |
transcript.pyannote[93].end |
340.53471875 |
transcript.pyannote[94].speaker |
SPEAKER_03 |
transcript.pyannote[94].start |
339.31971875 |
transcript.pyannote[94].end |
342.10409375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
342.10409375 |
transcript.pyannote[95].end |
342.13784375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
342.42471875 |
transcript.pyannote[96].end |
344.39909375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
344.80409375 |
transcript.pyannote[97].end |
354.13596875 |
transcript.pyannote[98].speaker |
SPEAKER_03 |
transcript.pyannote[98].start |
344.83784375 |
transcript.pyannote[98].end |
345.96846875 |
transcript.pyannote[99].speaker |
SPEAKER_03 |
transcript.pyannote[99].start |
352.61721875 |
transcript.pyannote[99].end |
353.29221875 |
transcript.pyannote[100].speaker |
SPEAKER_03 |
transcript.pyannote[100].start |
354.65909375 |
transcript.pyannote[100].end |
368.88471875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
362.16846875 |
transcript.pyannote[101].end |
362.59034375 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
369.34034375 |
transcript.pyannote[102].end |
371.71971875 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
371.90534375 |
transcript.pyannote[103].end |
384.02159375 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
384.20721875 |
transcript.pyannote[104].end |
404.64284375 |
transcript.pyannote[105].speaker |
SPEAKER_03 |
transcript.pyannote[105].start |
405.11534375 |
transcript.pyannote[105].end |
412.27034375 |
transcript.pyannote[106].speaker |
SPEAKER_03 |
transcript.pyannote[106].start |
412.30409375 |
transcript.pyannote[106].end |
432.77346875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
416.33721875 |
transcript.pyannote[107].end |
417.28221875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
422.93534375 |
transcript.pyannote[108].end |
423.03659375 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
423.03659375 |
transcript.pyannote[109].end |
423.07034375 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
433.98846875 |
transcript.pyannote[110].end |
434.39346875 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
434.74784375 |
transcript.pyannote[111].end |
436.63784375 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
437.02596875 |
transcript.pyannote[112].end |
450.61034375 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
450.89721875 |
transcript.pyannote[113].end |
470.60721875 |
transcript.pyannote[114].speaker |
SPEAKER_03 |
transcript.pyannote[114].start |
471.50159375 |
transcript.pyannote[114].end |
483.76971875 |
transcript.pyannote[115].speaker |
SPEAKER_03 |
transcript.pyannote[115].start |
483.83721875 |
transcript.pyannote[115].end |
541.44846875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
541.83659375 |
transcript.pyannote[116].end |
543.89534375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
543.97971875 |
transcript.pyannote[117].end |
548.09721875 |
transcript.pyannote[118].speaker |
SPEAKER_03 |
transcript.pyannote[118].start |
546.22409375 |
transcript.pyannote[118].end |
547.69221875 |
transcript.pyannote[119].speaker |
SPEAKER_03 |
transcript.pyannote[119].start |
548.09721875 |
transcript.pyannote[119].end |
548.23221875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
548.23221875 |
transcript.pyannote[120].end |
548.33346875 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
548.33346875 |
transcript.pyannote[121].end |
549.26159375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
548.90721875 |
transcript.pyannote[122].end |
549.36284375 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
549.36284375 |
transcript.pyannote[123].end |
549.37971875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
549.37971875 |
transcript.pyannote[124].end |
550.47659375 |
transcript.pyannote[125].speaker |
SPEAKER_03 |
transcript.pyannote[125].start |
549.46409375 |
transcript.pyannote[125].end |
550.59471875 |
transcript.pyannote[126].speaker |
SPEAKER_03 |
transcript.pyannote[126].start |
550.91534375 |
transcript.pyannote[126].end |
558.42471875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
553.19346875 |
transcript.pyannote[127].end |
553.83471875 |
transcript.pyannote[128].speaker |
SPEAKER_03 |
transcript.pyannote[128].start |
558.76221875 |
transcript.pyannote[128].end |
560.50034375 |
transcript.pyannote[129].speaker |
SPEAKER_03 |
transcript.pyannote[129].start |
560.85471875 |
transcript.pyannote[129].end |
582.52221875 |
transcript.pyannote[130].speaker |
SPEAKER_03 |
transcript.pyannote[130].start |
583.60221875 |
transcript.pyannote[130].end |
584.19284375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
584.46284375 |
transcript.pyannote[131].end |
608.10471875 |
transcript.pyannote[132].speaker |
SPEAKER_03 |
transcript.pyannote[132].start |
595.48221875 |
transcript.pyannote[132].end |
598.23284375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
598.23284375 |
transcript.pyannote[133].end |
598.24971875 |
transcript.pyannote[134].speaker |
SPEAKER_03 |
transcript.pyannote[134].start |
605.06721875 |
transcript.pyannote[134].end |
606.19784375 |
transcript.pyannote[135].speaker |
SPEAKER_03 |
transcript.pyannote[135].start |
606.60284375 |
transcript.pyannote[135].end |
613.40346875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
611.69909375 |
transcript.pyannote[136].end |
611.96909375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
612.96471875 |
transcript.pyannote[137].end |
618.87096875 |
transcript.pyannote[138].speaker |
SPEAKER_03 |
transcript.pyannote[138].start |
614.09534375 |
transcript.pyannote[138].end |
616.69409375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
618.97221875 |
transcript.pyannote[139].end |
622.04346875 |
transcript.pyannote[140].speaker |
SPEAKER_03 |
transcript.pyannote[140].start |
620.94659375 |
transcript.pyannote[140].end |
621.97596875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
622.46534375 |
transcript.pyannote[141].end |
625.51971875 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
624.16971875 |
transcript.pyannote[142].end |
624.20346875 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
624.20346875 |
transcript.pyannote[143].end |
624.25409375 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
624.25409375 |
transcript.pyannote[144].end |
624.32159375 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
624.32159375 |
transcript.pyannote[145].end |
624.59159375 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
624.59159375 |
transcript.pyannote[146].end |
624.69284375 |
transcript.pyannote[147].speaker |
SPEAKER_03 |
transcript.pyannote[147].start |
625.51971875 |
transcript.pyannote[147].end |
629.53596875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
625.53659375 |
transcript.pyannote[148].end |
626.73471875 |
transcript.pyannote[149].speaker |
SPEAKER_03 |
transcript.pyannote[149].start |
630.14346875 |
transcript.pyannote[149].end |
638.63159375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
639.45846875 |
transcript.pyannote[150].end |
641.63534375 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
641.95596875 |
transcript.pyannote[151].end |
643.60971875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
642.95159375 |
transcript.pyannote[152].end |
649.39784375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
649.80284375 |
transcript.pyannote[153].end |
651.37221875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
651.64221875 |
transcript.pyannote[154].end |
658.03784375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
658.17284375 |
transcript.pyannote[155].end |
662.56034375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
663.25221875 |
transcript.pyannote[156].end |
664.06221875 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
663.72471875 |
transcript.pyannote[157].end |
693.23909375 |
transcript.pyannote[158].speaker |
SPEAKER_03 |
transcript.pyannote[158].start |
693.55971875 |
transcript.pyannote[158].end |
703.22909375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
696.79971875 |
transcript.pyannote[159].end |
697.18784375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
702.16596875 |
transcript.pyannote[160].end |
709.72596875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
709.97909375 |
transcript.pyannote[161].end |
714.88971875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
712.93221875 |
transcript.pyannote[162].end |
712.94909375 |
transcript.pyannote[163].speaker |
SPEAKER_03 |
transcript.pyannote[163].start |
712.94909375 |
transcript.pyannote[163].end |
714.94034375 |
transcript.pyannote[164].speaker |
SPEAKER_03 |
transcript.pyannote[164].start |
715.02471875 |
transcript.pyannote[164].end |
716.77971875 |
transcript.pyannote[165].speaker |
SPEAKER_03 |
transcript.pyannote[165].start |
716.93159375 |
transcript.pyannote[165].end |
740.20221875 |
transcript.pyannote[166].speaker |
SPEAKER_03 |
transcript.pyannote[166].start |
740.37096875 |
transcript.pyannote[166].end |
800.54721875 |
transcript.pyannote[167].speaker |
SPEAKER_03 |
transcript.pyannote[167].start |
800.91846875 |
transcript.pyannote[167].end |
802.70721875 |
transcript.pyannote[168].speaker |
SPEAKER_03 |
transcript.pyannote[168].start |
802.80846875 |
transcript.pyannote[168].end |
814.90784375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
815.78534375 |
transcript.pyannote[169].end |
818.75534375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
818.94096875 |
transcript.pyannote[170].end |
821.35409375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
821.55659375 |
transcript.pyannote[171].end |
826.19721875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
826.48409375 |
transcript.pyannote[172].end |
829.28534375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
829.58909375 |
transcript.pyannote[173].end |
831.05721875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
832.20471875 |
transcript.pyannote[174].end |
833.41971875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
833.82471875 |
transcript.pyannote[175].end |
844.00034375 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
842.29596875 |
transcript.pyannote[176].end |
846.41346875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
845.60346875 |
transcript.pyannote[177].end |
848.11784375 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
848.40471875 |
transcript.pyannote[178].end |
848.67471875 |
transcript.pyannote[179].speaker |
SPEAKER_03 |
transcript.pyannote[179].start |
849.14721875 |
transcript.pyannote[179].end |
872.18159375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
850.42971875 |
transcript.pyannote[180].end |
850.93596875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
851.07096875 |
transcript.pyannote[181].end |
852.04971875 |
transcript.pyannote[182].speaker |
SPEAKER_03 |
transcript.pyannote[182].start |
872.38409375 |
transcript.pyannote[182].end |
920.49471875 |
transcript.pyannote[183].speaker |
SPEAKER_03 |
transcript.pyannote[183].start |
923.86971875 |
transcript.pyannote[183].end |
924.25784375 |
transcript.pyannote[184].speaker |
SPEAKER_03 |
transcript.pyannote[184].start |
925.96221875 |
transcript.pyannote[184].end |
927.63284375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
927.78471875 |
transcript.pyannote[185].end |
928.79721875 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
928.79721875 |
transcript.pyannote[186].end |
937.58909375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
928.94909375 |
transcript.pyannote[187].end |
929.10096875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
938.97284375 |
transcript.pyannote[188].end |
939.83346875 |
transcript.whisperx[0].start |
0.089 |
transcript.whisperx[0].end |
0.59 |
transcript.whisperx[0].text |
麻煩再請卓院長備詢 |
transcript.whisperx[1].start |
15.325 |
transcript.whisperx[1].end |
35.304 |
transcript.whisperx[1].text |
院長 死一死也 痞一死也 本席主張全面普發一萬元這一萬元對現在來講 面對關稅衝擊的產業面對現在南部急需重建的每一個災民這是及時雨 這是救命前 全面無條件的普發一萬塊 |
transcript.whisperx[2].start |
37.505 |
transcript.whisperx[2].end |
52.603 |
transcript.whisperx[2].text |
兩個第一個總統已經核四了竟然已經同意了行政院長只有從優從速從簡儘快的趕快的馬上的普發一萬塊因為總統同意了 |
transcript.whisperx[3].start |
53.891 |
transcript.whisperx[3].end |
76.313 |
transcript.whisperx[3].text |
哪來的在10萬還在10月底前沒有辦法發哪來的憲法程序還沒有完備這些都可以繼續進行你的憲法程式你的憲法的程序可以做沒問題還是你可以全面普發馬上發您說要舉債他也只是不會是一個很複雜的一個程序呀 |
transcript.whisperx[4].start |
77.074 |
transcript.whisperx[4].end |
90.987 |
transcript.whisperx[4].text |
但是你沒有現在全面普發一萬元的情況之下我現在的災區我相信院長你到過我高雄市我的Namasha我的桃園我的這個茂林整個道路的中斷 |
transcript.whisperx[5].start |
92.352 |
transcript.whisperx[5].end |
106.973 |
transcript.whisperx[5].text |
那現在你沒有在以及現在此時此刻你我在這當下路上颱風警報指爆的洋流颱風就要進來了災害的重建的腳步才剛要起步 |
transcript.whisperx[6].start |
107.654 |
transcript.whisperx[6].end |
133.616 |
transcript.whisperx[6].text |
你這個時候還在告訴我們的人民好喔總統啊你已經要發一萬塊了我們慢慢等等到年底還會被發不曉得所以本席啊就請你救救臺灣救救災民救救賴總統吧總統已經指示了也已經核准了你從優從速從簡不覺得這六個字聽起來很熟悉嗎院長你怎麼看全面普發一萬元 |
transcript.whisperx[7].start |
134.451 |
transcript.whisperx[7].end |
153.121 |
transcript.whisperx[7].text |
我非常感謝我們歷任的政府將台灣的國家財政弄到現在是屬於健全的所以我們每年都會有多多少少的稅計剩餘那在今年編列預算的時候我們也朝這個方向謹守財政紀律當時我們認為錢就應該花在最需要的地方那現在我們看到 |
transcript.whisperx[8].start |
155.547 |
transcript.whisperx[8].end |
182.413 |
transcript.whisperx[8].text |
颱風跟728的豪雨造成遍地的國人這麼大的損傷再加上大院也已經提出了對任性條例的修正案的內容三讀通過總統公告也已經生效我剛剛已經說過這個內容基本不變雖然我還要處理的是把他憲政程序讓他能夠化解但這個不會影響接下來的時間我們用最快的速度 |
transcript.whisperx[9].start |
182.853 |
transcript.whisperx[9].end |
208.592 |
transcript.whisperx[9].text |
所以什麼時候我們用最快的速度現在八月 所謂最快速度是什麼時候我們用最快的速度來提出一個任性特別條例的修正案內容就會把這個金額都把它補上來補上來之後我們就大院審議一通過我們馬上編特別預算你期待什麼時候可以普發如果你還經過大院我相信在我們韓院長的這個黨團協商之下一定很快 這是救命錢 |
transcript.whisperx[10].start |
209.973 |
transcript.whisperx[10].end |
237.745 |
transcript.whisperx[10].text |
這是救命錢 我想說沒有各黨都會同意的事項所以你覺得最快是什麼時候這都可以直接禁播二讀馬上刪讀出去我剛剛已經再度拜託過韓院長能夠像上週10月底前可以嗎您說10月底以後不可能聽在人民的心裡八月了你還告訴我的你一萬塊總統都已經要發了院長卻竟然說10月底前兩個月後沒有辦法收到然後楊柳颱風 紫豹直奔我東南 |
transcript.whisperx[11].start |
238.765 |
transcript.whisperx[11].end |
263.445 |
transcript.whisperx[11].text |
直奔我南部直奔我高雄委員你誤會了我希望在這個會期當中就能把它解決這個會期啊這個會期是什麼時候八月底啊我們八月底我有沒有聽錯再講一次所以你這個是現在你已經才是喔法治化預算就能把它解決那我們解決之後我們據預算就下去編列編列就下去執行那執行就用最快的所以什麼時候能夠普發完成 |
transcript.whisperx[12].start |
264.105 |
transcript.whisperx[12].end |
285.988 |
transcript.whisperx[12].text |
您預計什麼時候普發完成 你只要講一個期限我相信韓院長絕對會因你這個程序所有的不分打開 馬上都會來協商完成現在說的是法制化完成 從修正案特別條例的修正 到特別預算的編列我們希望這個8月的會期就能夠完成就能夠收到普發一萬塊嗎完成之後去編列預算就馬上執行 |
transcript.whisperx[13].start |
286.67 |
transcript.whisperx[13].end |
293.825 |
transcript.whisperx[13].text |
所以期待九月以前可以收到全面普發一萬元嗎九月以前不可能八月底才會完成法制化碼 |
transcript.whisperx[14].start |
295.133 |
transcript.whisperx[14].end |
320.544 |
transcript.whisperx[14].text |
對 那沒有問題啊 即使八月底 九月一號就可以開始開議啊這個都是我們在黨團協商都可以處理的都可以特級 特級專案來處理要主持一個行政機關 必須考慮到很多的作業程序這個是我們未來共同的經驗我們必須在這裡學習九月底前可以嗎 全面普發還是等到十月底以後你的剛才 我覺得這個如果你願意做調整你早上你說十月底以後 |
transcript.whisperx[15].start |
321.425 |
transcript.whisperx[15].end |
333.207 |
transcript.whisperx[15].text |
還不見得能夠普發 全面普發您現在願意加速重優 重灌 重減全面普發一萬塊所以您說個時間吧我早上講的話說您期待什麼時候 |
transcript.whisperx[16].start |
334.875 |
transcript.whisperx[16].end |
353.977 |
transcript.whisperx[16].text |
我希望在法治化完成之後我馬上編預算一個月內完成普發嗎這個我們行政機關要作業的要很多種的選項讓大家有戶頭的沒戶頭的發現金的領現金的各種方式都顧慮到周全我用最快的速度 |
transcript.whisperx[17].start |
354.724 |
transcript.whisperx[17].end |
382.969 |
transcript.whisperx[17].text |
您是一院之長啊你一聲令下一個月完成普發所有的行政部門馬上就一個月完成普發啦我今天不是以我今天是以執政黨的立委來提醒你因為我知道民生是什麼今天我們在意的是三件事情啊我們在意的是我們的這個關稅我的這個匯率的大漲在意的可能是川習會可能的一個所帶來的民生跟產業的衝擊啊 |
transcript.whisperx[18].start |
384.369 |
transcript.whisperx[18].end |
404.374 |
transcript.whisperx[18].text |
所以今天面對的災區的這個重建你真的我講坦白我剛才講的很客氣叫做還剛在起步現在是整個滿目倉儀包括我整個山區所以當你總統都已經說核准的情況之下我們怎麼可以拖 |
transcript.whisperx[19].start |
405.214 |
transcript.whisperx[19].end |
431.781 |
transcript.whisperx[19].text |
我看在我民進黨的這名調下我看到我們賴總統這樣的陸力的帶領我們國家我怎麼忍心我民進黨在這麼樣的一個團隊當中所以從優 從速 從寬是現在所有災民的心聲是所有現在產業的心聲等一下我也會講到為什麼現在如果我的救災的部分我直接進入下一個議題 |
transcript.whisperx[20].start |
434.039 |
transcript.whisperx[20].end |
455.215 |
transcript.whisperx[20].text |
好我先直接進到這邊好了這邊我的債務這邊農業部也就是當時農委會2018年對莫拉克風災研究報告來看我政府在莫拉克風災總投入1385億的新台幣贈災他獲得了什麼在莫拉克之後的9年後所做的研究報告他會獲得1385億我這個編列1200億 |
transcript.whisperx[21].start |
459.398 |
transcript.whisperx[21].end |
469.357 |
transcript.whisperx[21].text |
包括地方政府的投入1385億獲得的是什麼1811億元以上的產值創造以及民眾807億的所得效益以及增加21 |
transcript.whisperx[22].start |
473.184 |
transcript.whisperx[22].end |
492.709 |
transcript.whisperx[22].text |
18,029個工作機會也就是我擴大災區 震災重建的支出會解決災民面對生活困境我們不是說五金嗎我們是不是說現在的五金扣件受傷嗎我們的這個工具機會受傷嗎今天我沒有辦法外銷因為關稅的問題 因為匯率的問題 |
transcript.whisperx[23].start |
494.929 |
transcript.whisperx[23].end |
510.508 |
transcript.whisperx[23].text |
好那今天我擴大內需在整個重建當中趕快所有營造工程不管對工對私的投入就會製造內需了再加上今天一萬塊會趕上我們是一個有溫度的政府是有靠山的政府 |
transcript.whisperx[24].start |
510.968 |
transcript.whisperx[24].end |
530.239 |
transcript.whisperx[24].text |
所以今天全面補發一萬塊今天我站在執政黨立委的一個角色上我多麼希望讓人民可以感受到我們的真的是一個有溫度有靠山的政府就在人民旁邊這樣的及時雨這樣的救命前能夠到我的災民每一戶的手上 |
transcript.whisperx[25].start |
530.899 |
transcript.whisperx[25].end |
543.427 |
transcript.whisperx[25].text |
能夠讓我秀壽災的產業當中可以感受到這個政府是能夠在他身邊的是支持他的全面補發一萬塊九月底前完成能不能做到請部長答覆一下作業的期程 |
transcript.whisperx[26].start |
560.919 |
transcript.whisperx[26].end |
582.399 |
transcript.whisperx[26].text |
背尾啊 你就說好總統已經核四了兩個月內你都做不到你怎麼 我們怎麼可以下去的時候去指示好 各部會你要重優 重塑 重減你要馬上你的重優 重塑 重減兩個月都做不到你怎麼可以要求各部會重優 重塑 重減的補助馬上讓災民可以看得到 收得到呢 |
transcript.whisperx[27].start |
583.592 |
transcript.whisperx[27].end |
599.658 |
transcript.whisperx[27].text |
好部長是2300萬的一個假設要補發現金的話那這個部分的前置的作業是要把它做的週明那我們在發的時候一定會用最簡略的方式讓你告訴我可以用最方便我想您上次 |
transcript.whisperx[28].start |
600.719 |
transcript.whisperx[28].end |
621.534 |
transcript.whisperx[28].text |
6000塊的補發 您那時候有感受到可是我們之前的前置作業要非常細密一個也不能夠重複部長沒關係 你就講一個時間全民在聽我也不再質詢你這個議題我就繼續我下面的議題那這個當然要看這個要看特別預算什麼時候完成特別預算的編列以及經過立法院的同意對 所以什麼時候 |
transcript.whisperx[29].start |
622.535 |
transcript.whisperx[29].end |
640.897 |
transcript.whisperx[29].text |
要看什麼時候完成特別預算所以你還是不講嗎好那你覺得這樣人民聽得下去嗎好我們就繼續吧好我們來院長您對於這次的這個丹納斯颱風啊整個災損啊整個的總體損害金額是多少農損的部分丹納斯颱風有32億 |
transcript.whisperx[30].start |
642.031 |
transcript.whisperx[30].end |
661.442 |
transcript.whisperx[30].text |
那其他整體阻礙呀房屋損害的部分那無法從金額來計算我們只能從建來協助大家從各方面的協助的各種新的措施包括復原未住金包括我們的上工津貼包括我們的媒合獎勵金等等我們只能從這個部分但這個跟實際上的損害來講他還是 |
transcript.whisperx[31].start |
663.283 |
transcript.whisperx[31].end |
691.675 |
transcript.whisperx[31].text |
不構成比例 院長所以您的幕僚沒給你叫做整體損害金額所以你編了561到底能不能這個符合現在所有災民以及所有相關損失你今天編了9項喔所以你這561花在哪裡呢 農業設施電力系統電信系統及有線電視傳播系統自來水瓦斯及燃氣家園公共設施水利設施道路及交通環境維生復原社會復原及產業促進 |
transcript.whisperx[32].start |
693.876 |
transcript.whisperx[32].end |
708.788 |
transcript.whisperx[32].text |
九項這九項表示你要花下去你有這九項有損失嗎這九項的整個的整體損失是金額多少你不清楚好那不是不清楚這個將來就是在561的額度裡面一在送到大院的特別預算裡面就會詳列 |
transcript.whisperx[33].start |
710.089 |
transcript.whisperx[33].end |
724.268 |
transcript.whisperx[33].text |
每個項目每筆預算如何執行絕對不是不清楚院長我這邊呈現560億是不夠的您說到榮損40億好那我來我認為現在的整體損失是不小於莫拉克將近2000億 |
transcript.whisperx[34].start |
726.411 |
transcript.whisperx[34].end |
748.953 |
transcript.whisperx[34].text |
算起來是2000億喔我這次的雨量這是公視報導公共電視報導高雄茂林八町的降雨量將近2900毫米雨量是超過莫拉克風災的我用從受災面積這次是雲加南高頻莫拉克風災受損的面積是南投高頻而受災的戶數我就以停電戶數就好 |
transcript.whisperx[35].start |
750.094 |
transcript.whisperx[35].end |
776.014 |
transcript.whisperx[35].text |
丹納斯是98萬的停電戶數莫拉克風災是89萬的停電戶數好我現在98年這個表格莫拉克是98年的編列1200億我就不算通膨不算物價指數就現在的560億也僅佔莫拉克災後重建總預算的46%的弱我還不算通膨不算物價指數 |
transcript.whisperx[36].start |
776.815 |
transcript.whisperx[36].end |
799.722 |
transcript.whisperx[36].text |
而這次的丹納斯是遠大於莫拉克颱風喔好那如果是這樣的話本席非常擔心我要提醒院長我今天是以非常沉重的執政黨的立委來跟你講我害怕會有一個災禍你這個再補下去因為資金不足嘛所以呢你會補助戶數不足 |
transcript.whisperx[37].start |
800.982 |
transcript.whisperx[37].end |
814.708 |
transcript.whisperx[37].text |
不夠面積也不足百工百業恢復機會無限延長本席都可以預估另一波災後重建的民怨爆發所以您是不是有評估要提高救災經費的上限呢 |
transcript.whisperx[38].start |
815.816 |
transcript.whisperx[38].end |
830.917 |
transcript.whisperx[38].text |
我們在特別條例的草案當中名列560億希望大院來審議的時候依照這個來計算但是我也承認那個是在一兩週以前我們訂定出來的這個特別條例的金額如果真的有時評時據而且可以印證我們真的確實有需要 |
transcript.whisperx[39].start |
832.247 |
transcript.whisperx[39].end |
843.743 |
transcript.whisperx[39].text |
在審議的過程當中我們進行憲法跟預算法相關的規定來跟行政院徵詢我們可以就上線來加以調整有必要的話我們看實際的狀況但是我強調這個還是需要大量的舉債 |
transcript.whisperx[40].start |
849.63 |
transcript.whisperx[40].end |
866.905 |
transcript.whisperx[40].text |
舉債也沒問題啊你明年會有超收稅額啊你再補就好了啊這都不是問題啊是你知道怎麼去周轉它好下面我所講啊是我真的看到這樣的條例8條跟莫拉克條例29條我心非常的寒啊 |
transcript.whisperx[41].start |
867.245 |
transcript.whisperx[41].end |
891.821 |
transcript.whisperx[41].text |
怎么的喊法呢我这边要问您要不要采莫拉克条例的一些真的是温暖的措施税务减免莫拉克这边有提到我对于政府治灾民治政府跟民间领取的各项救助金慰问金临时工作今天是免病入综合所的总额课程税所得税的这个可以吗受债户的水费电费 |
transcript.whisperx[42].start |
892.441 |
transcript.whisperx[42].end |
920.282 |
transcript.whisperx[42].text |
是德語減免的這可以嗎以及災區內的土地及建築物可以減免房屋稅及地價稅這可以嗎再來這個我們莫拉克風災的條例他說我們淹水達50戶以上的以一門牌一戶每戶10萬塊可以嗎我們的這個這個我們的這個莫拉克重建條例當中也提到貸款償還期限展延而且呢這展 |
transcript.whisperx[43].start |
938.954 |
transcript.whisperx[43].end |
938.974 |
transcript.whisperx[43].text |
好 謝謝 |