IVOD_ID |
163462 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163462 |
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 |
2025-08-12T17:16:30+08:00 |
結束時間 |
2025-08-12T17:31:46+08:00 |
影片長度 |
00:15:16 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/affd0e2636d87bdf8fd89975ff774501a8bba6e65b10b0a5308214a7159784997a999415d811f7405ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅智強 |
委員發言時間 |
17:16:30 - 17:31:46 |
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 |
2.44409375 |
transcript.pyannote[0].end |
3.79409375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
4.09784375 |
transcript.pyannote[1].end |
5.04284375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
5.59971875 |
transcript.pyannote[2].end |
6.88221875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
15.31971875 |
transcript.pyannote[3].end |
17.36159375 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
18.15471875 |
transcript.pyannote[4].end |
21.25971875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
21.91784375 |
transcript.pyannote[5].end |
23.99346875 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
24.83721875 |
transcript.pyannote[6].end |
26.77784375 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
27.40221875 |
transcript.pyannote[7].end |
30.08534375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
30.57471875 |
transcript.pyannote[8].end |
31.33409375 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
31.78971875 |
transcript.pyannote[9].end |
32.27909375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
32.53221875 |
transcript.pyannote[10].end |
34.06784375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
34.30409375 |
transcript.pyannote[11].end |
34.62471875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
35.09721875 |
transcript.pyannote[12].end |
36.24471875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
36.75096875 |
transcript.pyannote[13].end |
38.37096875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
39.06284375 |
transcript.pyannote[14].end |
40.12596875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
40.51409375 |
transcript.pyannote[15].end |
45.99846875 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
46.48784375 |
transcript.pyannote[16].end |
48.00659375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
48.37784375 |
transcript.pyannote[17].end |
50.48721875 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
50.68971875 |
transcript.pyannote[18].end |
54.40221875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
54.55409375 |
transcript.pyannote[19].end |
58.90784375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
59.09346875 |
transcript.pyannote[20].end |
60.25784375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
60.44346875 |
transcript.pyannote[21].end |
62.87346875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
63.02534375 |
transcript.pyannote[22].end |
63.70034375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
63.05909375 |
transcript.pyannote[23].end |
64.51034375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
65.05034375 |
transcript.pyannote[24].end |
70.82159375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
71.19284375 |
transcript.pyannote[25].end |
72.42471875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
72.91409375 |
transcript.pyannote[26].end |
78.21284375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
79.15784375 |
transcript.pyannote[27].end |
81.48659375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
81.82409375 |
transcript.pyannote[28].end |
82.63409375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
83.15721875 |
transcript.pyannote[29].end |
86.49846875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
87.20721875 |
transcript.pyannote[30].end |
88.28721875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
88.45596875 |
transcript.pyannote[31].end |
89.36721875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
89.83971875 |
transcript.pyannote[32].end |
91.76346875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
92.42159375 |
transcript.pyannote[33].end |
93.28221875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
93.41721875 |
transcript.pyannote[34].end |
94.66596875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
94.96971875 |
transcript.pyannote[35].end |
97.97346875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
98.68221875 |
transcript.pyannote[36].end |
100.16721875 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
100.57221875 |
transcript.pyannote[37].end |
104.36909375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
104.77409375 |
transcript.pyannote[38].end |
106.24221875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
106.83284375 |
transcript.pyannote[39].end |
108.40221875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
109.29659375 |
transcript.pyannote[40].end |
111.76034375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
111.97971875 |
transcript.pyannote[41].end |
114.86534375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
115.30409375 |
transcript.pyannote[42].end |
117.04221875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
115.77659375 |
transcript.pyannote[43].end |
121.64909375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
117.63284375 |
transcript.pyannote[44].end |
118.98284375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
122.05409375 |
transcript.pyannote[45].end |
125.27721875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
125.61471875 |
transcript.pyannote[46].end |
128.87159375 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
129.29346875 |
transcript.pyannote[47].end |
132.92159375 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
132.97221875 |
transcript.pyannote[48].end |
132.98909375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
133.10721875 |
transcript.pyannote[49].end |
137.12346875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
138.37221875 |
transcript.pyannote[50].end |
144.48096875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
144.48096875 |
transcript.pyannote[51].end |
144.86909375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
144.86909375 |
transcript.pyannote[52].end |
144.88596875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
144.88596875 |
transcript.pyannote[53].end |
144.90284375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
144.90284375 |
transcript.pyannote[54].end |
144.97034375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
144.97034375 |
transcript.pyannote[55].end |
154.99409375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
155.65221875 |
transcript.pyannote[56].end |
159.88784375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
158.55471875 |
transcript.pyannote[57].end |
159.93846875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
159.93846875 |
transcript.pyannote[58].end |
159.97221875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
159.97221875 |
transcript.pyannote[59].end |
160.57971875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
160.57971875 |
transcript.pyannote[60].end |
160.61346875 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
160.61346875 |
transcript.pyannote[61].end |
165.94596875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
165.94596875 |
transcript.pyannote[62].end |
168.94971875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
169.23659375 |
transcript.pyannote[63].end |
170.08034375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
170.33346875 |
transcript.pyannote[64].end |
172.29096875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
172.61159375 |
transcript.pyannote[65].end |
174.06284375 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
174.06284375 |
transcript.pyannote[66].end |
174.50159375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
174.90659375 |
transcript.pyannote[67].end |
179.15909375 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
179.31096875 |
transcript.pyannote[68].end |
187.81596875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
187.96784375 |
transcript.pyannote[69].end |
191.57909375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
190.87034375 |
transcript.pyannote[70].end |
194.90346875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
193.99221875 |
transcript.pyannote[71].end |
194.66721875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
195.02159375 |
transcript.pyannote[72].end |
200.28659375 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
200.94471875 |
transcript.pyannote[73].end |
206.95221875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
207.32346875 |
transcript.pyannote[74].end |
209.06159375 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
209.65221875 |
transcript.pyannote[75].end |
240.04409375 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
240.43221875 |
transcript.pyannote[76].end |
243.50346875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
243.55409375 |
transcript.pyannote[77].end |
248.65034375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
248.93721875 |
transcript.pyannote[78].end |
252.71721875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
253.44284375 |
transcript.pyannote[79].end |
269.96346875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
271.24596875 |
transcript.pyannote[80].end |
275.73471875 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
276.05534375 |
transcript.pyannote[81].end |
279.76784375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
276.12284375 |
transcript.pyannote[82].end |
276.56159375 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
279.93659375 |
transcript.pyannote[83].end |
290.02784375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
290.23034375 |
transcript.pyannote[84].end |
291.14159375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
291.71534375 |
transcript.pyannote[85].end |
296.38971875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
296.62596875 |
transcript.pyannote[86].end |
301.82346875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
302.95409375 |
transcript.pyannote[87].end |
305.85659375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
303.78096875 |
transcript.pyannote[88].end |
304.15221875 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
306.41346875 |
transcript.pyannote[89].end |
310.86846875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
311.62784375 |
transcript.pyannote[90].end |
320.97659375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
323.44034375 |
transcript.pyannote[91].end |
325.98846875 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
325.24596875 |
transcript.pyannote[92].end |
328.92471875 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
329.02596875 |
transcript.pyannote[93].end |
329.04284375 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
329.05971875 |
transcript.pyannote[94].end |
353.47784375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
335.84346875 |
transcript.pyannote[95].end |
336.55221875 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
353.93346875 |
transcript.pyannote[96].end |
361.20659375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
361.83096875 |
transcript.pyannote[97].end |
363.11346875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
363.19784375 |
transcript.pyannote[98].end |
366.70784375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
367.12971875 |
transcript.pyannote[99].end |
378.60471875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
379.00971875 |
transcript.pyannote[100].end |
381.23721875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
381.43971875 |
transcript.pyannote[101].end |
384.59534375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
385.30409375 |
transcript.pyannote[102].end |
386.23221875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
386.38409375 |
transcript.pyannote[103].end |
387.24471875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
387.53159375 |
transcript.pyannote[104].end |
389.20221875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
389.53971875 |
transcript.pyannote[105].end |
397.08284375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
397.31909375 |
transcript.pyannote[106].end |
399.17534375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
399.63096875 |
transcript.pyannote[107].end |
400.06971875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
400.40721875 |
transcript.pyannote[108].end |
401.14971875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
401.45346875 |
transcript.pyannote[109].end |
405.33471875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
405.33471875 |
transcript.pyannote[110].end |
405.35159375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
405.62159375 |
transcript.pyannote[111].end |
405.65534375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
405.65534375 |
transcript.pyannote[112].end |
408.81096875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
409.11471875 |
transcript.pyannote[113].end |
414.97034375 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
415.35846875 |
transcript.pyannote[114].end |
420.43784375 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
420.80909375 |
transcript.pyannote[115].end |
429.38159375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
429.70221875 |
transcript.pyannote[116].end |
431.45721875 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
431.60909375 |
transcript.pyannote[117].end |
444.99096875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
445.31159375 |
transcript.pyannote[118].end |
459.30096875 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
460.09409375 |
transcript.pyannote[119].end |
470.92784375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
471.16409375 |
transcript.pyannote[120].end |
473.86409375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
474.35346875 |
transcript.pyannote[121].end |
479.29784375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
479.46659375 |
transcript.pyannote[122].end |
480.54659375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
480.96846875 |
transcript.pyannote[123].end |
483.75284375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
484.10721875 |
transcript.pyannote[124].end |
488.00534375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
488.12346875 |
transcript.pyannote[125].end |
492.42659375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
490.73909375 |
transcript.pyannote[126].end |
491.22846875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
491.92034375 |
transcript.pyannote[127].end |
498.21471875 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
498.46784375 |
transcript.pyannote[128].end |
500.59409375 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
501.67409375 |
transcript.pyannote[129].end |
506.04471875 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
506.41596875 |
transcript.pyannote[130].end |
507.56346875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
508.08659375 |
transcript.pyannote[131].end |
512.10284375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
512.30534375 |
transcript.pyannote[132].end |
517.33409375 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
517.72221875 |
transcript.pyannote[133].end |
521.16471875 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
521.43471875 |
transcript.pyannote[134].end |
522.27846875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
522.81846875 |
transcript.pyannote[135].end |
526.48034375 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
527.35784375 |
transcript.pyannote[136].end |
533.51721875 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
534.07409375 |
transcript.pyannote[137].end |
536.41971875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
537.09471875 |
transcript.pyannote[138].end |
541.27971875 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
541.73534375 |
transcript.pyannote[139].end |
542.91659375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
543.35534375 |
transcript.pyannote[140].end |
551.84346875 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
551.96159375 |
transcript.pyannote[141].end |
558.12096875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
558.28971875 |
transcript.pyannote[142].end |
564.26346875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
565.02284375 |
transcript.pyannote[143].end |
568.17846875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
565.05659375 |
transcript.pyannote[144].end |
565.17471875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
565.17471875 |
transcript.pyannote[145].end |
566.03534375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
566.03534375 |
transcript.pyannote[146].end |
566.42346875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
568.43159375 |
transcript.pyannote[147].end |
573.44346875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
574.13534375 |
transcript.pyannote[148].end |
577.10534375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
577.61159375 |
transcript.pyannote[149].end |
580.42971875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
580.95284375 |
transcript.pyannote[150].end |
582.40409375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
582.84284375 |
transcript.pyannote[151].end |
584.78346875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
585.22221875 |
transcript.pyannote[152].end |
586.97721875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
587.44971875 |
transcript.pyannote[153].end |
592.05659375 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
590.47034375 |
transcript.pyannote[154].end |
591.43221875 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
592.05659375 |
transcript.pyannote[155].end |
593.35596875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
592.09034375 |
transcript.pyannote[156].end |
594.99284375 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
594.99284375 |
transcript.pyannote[157].end |
595.39784375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
595.04346875 |
transcript.pyannote[158].end |
595.38096875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
595.39784375 |
transcript.pyannote[159].end |
595.76909375 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
595.76909375 |
transcript.pyannote[160].end |
597.96284375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
595.78596875 |
transcript.pyannote[161].end |
595.88721875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
598.50284375 |
transcript.pyannote[162].end |
601.00034375 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
601.42221875 |
transcript.pyannote[163].end |
602.51909375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
603.00846875 |
transcript.pyannote[164].end |
604.47659375 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
605.11784375 |
transcript.pyannote[165].end |
607.83471875 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
607.88534375 |
transcript.pyannote[166].end |
608.56034375 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
609.28596875 |
transcript.pyannote[167].end |
614.48346875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
615.07409375 |
transcript.pyannote[168].end |
619.27596875 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
620.08596875 |
transcript.pyannote[169].end |
623.03909375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
623.34284375 |
transcript.pyannote[170].end |
627.07221875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
627.44346875 |
transcript.pyannote[171].end |
631.94909375 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
632.87721875 |
transcript.pyannote[172].end |
633.58596875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
634.00784375 |
transcript.pyannote[173].end |
640.48784375 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
641.16284375 |
transcript.pyannote[174].end |
646.22534375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
647.03534375 |
transcript.pyannote[175].end |
654.94971875 |
transcript.pyannote[176].speaker |
SPEAKER_02 |
transcript.pyannote[176].start |
655.54034375 |
transcript.pyannote[176].end |
658.32471875 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
658.61159375 |
transcript.pyannote[177].end |
660.97409375 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
661.39596875 |
transcript.pyannote[178].end |
664.73721875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
664.95659375 |
transcript.pyannote[179].end |
667.21784375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
667.33596875 |
transcript.pyannote[180].end |
669.56346875 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
669.66471875 |
transcript.pyannote[181].end |
687.94034375 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
688.49721875 |
transcript.pyannote[182].end |
700.86659375 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
701.15346875 |
transcript.pyannote[183].end |
705.65909375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
705.72659375 |
transcript.pyannote[184].end |
728.99721875 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
729.33471875 |
transcript.pyannote[185].end |
742.21034375 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
742.93596875 |
transcript.pyannote[186].end |
743.64471875 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
744.40409375 |
transcript.pyannote[187].end |
748.62284375 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
749.04471875 |
transcript.pyannote[188].end |
749.75346875 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
749.90534375 |
transcript.pyannote[189].end |
757.44846875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
753.36471875 |
transcript.pyannote[190].end |
753.39846875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
753.56721875 |
transcript.pyannote[191].end |
753.71909375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
757.87034375 |
transcript.pyannote[192].end |
758.39346875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
758.66346875 |
transcript.pyannote[193].end |
762.67971875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
762.30846875 |
transcript.pyannote[194].end |
763.15221875 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
763.15221875 |
transcript.pyannote[195].end |
768.34971875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
767.20221875 |
transcript.pyannote[196].end |
768.45096875 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
768.45096875 |
transcript.pyannote[197].end |
779.52096875 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
779.65596875 |
transcript.pyannote[198].end |
836.32221875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
836.59221875 |
transcript.pyannote[199].end |
849.33284375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
849.75471875 |
transcript.pyannote[200].end |
850.12596875 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
850.21034375 |
transcript.pyannote[201].end |
867.13596875 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
867.64221875 |
transcript.pyannote[202].end |
876.51846875 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
876.80534375 |
transcript.pyannote[203].end |
880.43346875 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
880.61909375 |
transcript.pyannote[204].end |
884.02784375 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
884.06159375 |
transcript.pyannote[205].end |
887.38596875 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
887.58846875 |
transcript.pyannote[206].end |
889.12409375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
889.19159375 |
transcript.pyannote[207].end |
890.62596875 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
890.89596875 |
transcript.pyannote[208].end |
891.63846875 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
892.00971875 |
transcript.pyannote[209].end |
896.66721875 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
896.98784375 |
transcript.pyannote[210].end |
914.82471875 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
900.44721875 |
transcript.pyannote[211].end |
900.97034375 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
905.39159375 |
transcript.pyannote[212].end |
906.21846875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
914.82471875 |
transcript.pyannote[213].end |
915.34784375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
915.83721875 |
transcript.pyannote[214].end |
917.96346875 |
transcript.whisperx[0].start |
2.729 |
transcript.whisperx[0].end |
23.237 |
transcript.whisperx[0].text |
主席有請卓院長麻煩再請卓院長備詢卓院長好其實這段時間我在看到新聞畫面然後看到很多的災民 |
transcript.whisperx[1].start |
24.915 |
transcript.whisperx[1].end |
37.722 |
transcript.whisperx[1].text |
在風災之後的大雨家園泡在水裡面然後那種叫天不應叫地不應的那種苦境我自己看其實是很難過的 |
transcript.whisperx[2].start |
39.247 |
transcript.whisperx[2].end |
53.624 |
transcript.whisperx[2].text |
所以我想院長自己應該也會感同身受所以災民的痛苦我想應該都要把它放在心裡我也跟院長說因為看到這些情況所以後來我有決定從我最近新書的書款裡面 |
transcript.whisperx[3].start |
55.266 |
transcript.whisperx[3].end |
77.769 |
transcript.whisperx[3].text |
有把他的所得部分撥出一百萬元來救助我們中南部的受災的民眾我也希望說這份心傳達給卓院長我們大家一起把心都放在災民身上然後苦民所苦能夠全力的努力的來幫助災民重建家園解決他們的問題 |
transcript.whisperx[4].start |
79.349 |
transcript.whisperx[4].end |
107.692 |
transcript.whisperx[4].text |
接下來我想要可能先延續剛剛林黛嬅委員的她的質詢我在底下聽了其實是非常感動你知道現在災民家園受損實質上很多的一些恢復跟重建的工作都期待進行所以在這個時候其實當初還稅漁民普發現金的一萬元其實就是一個及時雨這一點我不知道院長認不認同 |
transcript.whisperx[5].start |
109.349 |
transcript.whisperx[5].end |
136.286 |
transcript.whisperx[5].text |
目前來看 它確實有這樣的一個可能性的發展但是就佔名而言 我們有其他更多的多項的補助那這個是普發給全民但總之就是一個plus嘛 對不對那可是剛剛我是有點遺憾啦就是說我看剛剛林黛樺委員非常努力的想要問這個院長就是這個現金發放的時程顯然九月底覺得你們做不到嘛我聽到的結論是這樣 對不對 |
transcript.whisperx[6].start |
138.536 |
transcript.whisperx[6].end |
154.714 |
transcript.whisperx[6].text |
我是認為如果法制化的完成能夠在這個會期完成那已經是很快了院長我現在是沒有要push你只是說先確定一些因為我相信所有的民眾是很關心這個題目就是說九月底如果不能完成的話十月底可以嗎 |
transcript.whisperx[7].start |
155.994 |
transcript.whisperx[7].end |
178.838 |
transcript.whisperx[7].text |
在大院通過的修正的時間是十月底所以一萬塊不會打折扣吧就是一萬塊不發現金我說過總統公告的法律他就生效了基本上除了知識產業會增加關懷弱勢會增加民生系統電力維護會增加一些修復之外其他基本不變 |
transcript.whisperx[8].start |
179.678 |
transcript.whisperx[8].end |
200.456 |
transcript.whisperx[8].text |
所以謝謝卓院長就是顯然給大家安心啦就是說看起來你們的目標要放在十月底啦然後普發現金一萬元是不會打折扣的十月底要請財政部能夠加快速度當然就拜託財政部再加快速度因為災民其實真的是非常辛苦啦 |
transcript.whisperx[9].start |
201.056 |
transcript.whisperx[9].end |
227.478 |
transcript.whisperx[9].text |
那接下來我再問一下關於這次防災救災的整個的過程當中有些東西可能跟卓院長來就教一下我跟你講報告因為我自己在這個政府工作過嘛那以前的工作其實說實在話啦就是當遇到天災總統坐鎮災害指揮災害應變中心的時候我是會陪同在旁邊的那如果他去看災我也是在旁邊陪同的 |
transcript.whisperx[10].start |
228.298 |
transcript.whisperx[10].end |
252.071 |
transcript.whisperx[10].text |
甚至後面的重建很多的一些管考 督導實際上我也是做幕僚工作的甚至一些重建的視察重建完成的視察有時候也會陪同總統前往所以其實我在看整個我們台灣的災害的防救其實我自己是一路看在眼裡我有一些問題可能要請教一下我們的院長 |
transcript.whisperx[11].start |
253.659 |
transcript.whisperx[11].end |
268.95 |
transcript.whisperx[11].text |
這句話國軍單位跟地方政府密切合作全力執行救災工作展現出國軍暫時能作戰平時能救災的效能隨時投入防救災工作請問院長你知道這句話誰講的嗎 |
transcript.whisperx[12].start |
271.388 |
transcript.whisperx[12].end |
290.806 |
transcript.whisperx[12].text |
能夠直接講到關於國軍的指揮調動都應該是總統非常好這是蔡英文前總統說的那下一句話是國軍主動救災是安定民心的重要力量那政府已經將災害防救列入國軍的中心任務平日就 |
transcript.whisperx[13].start |
291.767 |
transcript.whisperx[13].end |
320.165 |
transcript.whisperx[13].text |
完成災害防救的兵力部署隨時準備救援防止災難發生或阻止災難擴大那這句話又是誰講的哪一位總統講的請委員來指教就是馬英九前總統那這事實上也就在馬總統任內其實他已經訂下了一些政府防救災的準則我不知道院長知不知道從那時候政府防救災準則實在一直沿用到蔡英文總統啦你知道有哪些核心的防救災準則嗎 |
transcript.whisperx[14].start |
323.859 |
transcript.whisperx[14].end |
341.335 |
transcript.whisperx[14].text |
這個請委員來指教防災重於救災離災優於防災料敵從寬遇敵從嚴超前部署預制兵力隨時防救這是我們對於所謂的尤其是對於也包括國軍在內的防救災的作為的一個準則 |
transcript.whisperx[15].start |
342.344 |
transcript.whisperx[15].end |
360.753 |
transcript.whisperx[15].text |
事實上從馬總統到蔡總統都是秉持這些準則尤其天災時候兩位總統都經常在國軍馳援災區的時候告訴國人救災勢同作戰這句話你聽過吧這幾乎是鐵律可是我就要很遺憾的說 |
transcript.whisperx[16].start |
362.212 |
transcript.whisperx[16].end |
384.433 |
transcript.whisperx[16].text |
這鐵律到賴清德總統的時候是變更了嗎?還是修正了嗎?還是說今天改變了嗎?為什麼這次風災跟豪雨我想要問一下政府有做到這個所謂的救災適同作戰這個所謂的準則嗎?沒有 沒有改變我跟委員講一段話去年第一個颱風來的時候我在中央應變中心 |
transcript.whisperx[17].start |
385.359 |
transcript.whisperx[17].end |
412.446 |
transcript.whisperx[17].text |
那時候要調動國軍資源我只有那一次第一次我打個電話請示總統因為基於體制上我跟總統報告中央應變中心現在需要國軍調度能不能調動國軍總統說他已經指示了國軍投入救災而且以後有類似情況不必再請示就直接可以指揮調動非常好謝謝院長在旁邊輔佐總統提示他這個國軍救災投入的重要性 |
transcript.whisperx[18].start |
413.186 |
transcript.whisperx[18].end |
428.906 |
transcript.whisperx[18].text |
但是我可能還是要提醒院長在民眾的觀感裡面看起來可能好像是另外一番場景那這是可能是包括賴總統卓院長你們可能都要去思考一下為什麼民眾會產生另外一種有落差的場景感 |
transcript.whisperx[19].start |
429.847 |
transcript.whisperx[19].end |
458.024 |
transcript.whisperx[19].text |
受災戶大概很多都七八十歲高齡他沒有能力體力靠自己清理家園所以當他拜託賴總統派國軍協助把家中的壞家具廢棄物搬到外頭結果賴總統竟然說國軍不能進入民房說社區要發揮力量社區有力量社區才比較安定如果什麼事情都需要國軍國軍真的沒空比方說漢光演習或者遇到那一天真正發生時該怎麼辦 |
transcript.whisperx[20].start |
460.408 |
transcript.whisperx[20].end |
473.749 |
transcript.whisperx[20].text |
我想請教卓院長你也是等於是行政院政府官員實際上我想各種救災的工作你也有參與如果你是災民你聽到這句話你的感受是什麼 |
transcript.whisperx[21].start |
474.42 |
transcript.whisperx[21].end |
500.379 |
transcript.whisperx[21].text |
我想跟我們報告一下這個背景我們一直在社區推動防災自主社區也相當有成效各個縣市都有相當數目來成立了那我們也在希望說這個能夠當作一個救災最基層的單位來協助村里長協視地方政府國軍當然要協助進去我相信啦 我相信政府一定是會很努力的投入整個的災害防救的工作但我要特別提醒一件事情 |
transcript.whisperx[22].start |
502.652 |
transcript.whisperx[22].end |
525.768 |
transcript.whisperx[22].text |
過去國軍我們的核心工作準則就是救災視同作戰過去國軍在災害發生時就會陪伴在災民身邊可是當總統說國軍不能進入民防然後不要什麼事都需要國軍我說實在話啦我覺得院長你可能也不方便說什麼可以體諒你但是將心比心放在當時已經覺得 |
transcript.whisperx[23].start |
527.401 |
transcript.whisperx[23].end |
535.87 |
transcript.whisperx[23].text |
好像沒有已經沒有辦法去找到什麼樣的幫助然後希望政府能夠施以援手的災民這些話聽在心裡其實會是很難過的 |
transcript.whisperx[24].start |
537.17 |
transcript.whisperx[24].end |
559.702 |
transcript.whisperx[24].text |
所以這顯現兩件事情我覺得院長可能要再協助總統一下第一個就是什麼第一個就是可能要讓總統更熟悉從馬總統到蔡英文總統的所謂的我們國軍救災的核心任務第二個就是說實質上政府很努力工作但是也不要讓災民今天遇到這個狀況聽到這個感覺說真的我覺得是有點委屈災民 |
transcript.whisperx[25].start |
565.009 |
transcript.whisperx[25].end |
579.531 |
transcript.whisperx[25].text |
那再來 另外一個總統指示 事實上來講我們救災的工作從以前到現在沒有變過所以我們第一時間投入到災區去我相信在北門的鄉親們 |
transcript.whisperx[26].start |
580.993 |
transcript.whisperx[26].end |
608.24 |
transcript.whisperx[26].text |
都非常了解尤其台南市積大水的時候我們國軍接到命令我們直接到民宅裡面去把村民撤離大概五十幾個人家撤離我想這些工作從以前到現在沒有變過了解 我覺得了解因為說真的這些我都經歷過了我對國軍是非常感佩的這個是跟無庸置疑的接下來我想請教另外一個場景我看的其實也是不忍心就是 |
transcript.whisperx[27].start |
609.569 |
transcript.whisperx[27].end |
630.952 |
transcript.whisperx[27].text |
災後家已經發生八十一歲老人家修屋頂不幸摔下身亡相隔兩天總統到旗鼓看災的時候有災民反應房屋漏水總統說沒關係 帆布那邊有然後年長災民已經講說不敢爬上去了結果總統回應 不敢爬上去沒有 我們自己爬 |
transcript.whisperx[28].start |
634.133 |
transcript.whisperx[28].end |
645.98 |
transcript.whisperx[28].text |
也許總統的意思是別的意思我在這邊其實要提醒的一件事情就是說總統進到災區的時候我覺得身邊的官員們可能都要先提點他一下 |
transcript.whisperx[29].start |
647.096 |
transcript.whisperx[29].end |
671.113 |
transcript.whisperx[29].text |
你在很多的表述過程當中你要稍微去想想看如果你是災民你聽到這些話你心中作何感想這個是我覺得在這邊我也是恺切的來提供我們卓院長一個參考當然我也必須講過去其實我們的剛你也講過了其實過去我們國軍參與著救災的過程當中實際上是非常積極的沒錯 對不對非常積極的 |
transcript.whisperx[30].start |
674.296 |
transcript.whisperx[30].end |
697.598 |
transcript.whisperx[30].text |
甚至以前我們的賴總統他在要求國軍的時候我還看到很多資料包括2011年他還是台南市長的時候南馬都颱風來勢洶洶台南的麻豆文旦東山的龍眼都來不及採收當時的賴清德市長向中央災害應變中心反映 |
transcript.whisperx[31].start |
698.438 |
transcript.whisperx[31].end |
723.641 |
transcript.whisperx[31].text |
那時候其實我也在輔佐總統馬總統就指示國防部立即處理也派出國軍協助採收2012年泰利颱風來襲國軍八軍團投入大批的兵軍機械然後去支援台南救災賴總統也說台南因為豪雨海水倒灌水淹民宅所以他請國軍協助老弱婦孺及時撤離 |
transcript.whisperx[32].start |
724.542 |
transcript.whisperx[32].end |
747.682 |
transcript.whisperx[32].text |
所以當時其實我想賴總統在當市長的時候也是非常期待國軍能對我們在各地的災民來施以嚴守這個心情我希望賴總統能夠繼續保持最後其實有一件事情我想要請教一下就是說總統也一再強調這次的災害非常罕見 對不對 |
transcript.whisperx[33].start |
750.688 |
transcript.whisperx[33].end |
761.738 |
transcript.whisperx[33].text |
風災導致已經有4萬戶的屋頂被刮走光台南就有17個行政區大概有3萬多戶行政院已經決定要發放污損的未住金 |
transcript.whisperx[34].start |
763.735 |
transcript.whisperx[34].end |
780.983 |
transcript.whisperx[34].text |
但是它是依照損害面積發放最高是10萬元可是我其實最近又有到中南部走那又有一些農民朋友說農損加上污損其實損失非常的慘重那也需要說今天 |
transcript.whisperx[35].start |
781.883 |
transcript.whisperx[35].end |
803.803 |
transcript.whisperx[35].text |
更多的資金來應急他有提一個建議我覺得還不錯我想提供院長來做參考他說過去新冠疫情時候農業部他除了對農作物及農業設施提供貸款免息之外他依照當時特別條例的授權提供額外的農家綜合貸款一年免息的紓困 |
transcript.whisperx[36].start |
805.664 |
transcript.whisperx[36].end |
820.37 |
transcript.whisperx[36].text |
讓農漁民用於家計消費所需的一些經費有些資金需求的農漁民他額度不受原紓困舊貸款餘額限制可以再申請一次最多40萬元的紓困貸款 |
transcript.whisperx[37].start |
821.61 |
transcript.whisperx[37].end |
848.765 |
transcript.whisperx[37].text |
但這一次的農業部我看到提出的貸款展延免息措施好像不像疫情時對於農家綜合貸款提供額外的貸款跟免息額度這個貸款的一個狀況那這貸款我覺得可以來去讓受災的農漁民一方面用於家計所需當然也有包括說今天他有一些損害的一個復原那現在有了特別條例匡列了560億元的特別預算對不對 |
transcript.whisperx[38].start |
851.045 |
transcript.whisperx[38].end |
875.955 |
transcript.whisperx[38].text |
所以有法源有資金我是不是能夠拜託我們院長請農業部可不可以研議一下能不能比照上次疫情的做法提供類似的農家綜合貸款的額外貸款以及免息額度能夠讓有需要的受災農漁民給他更充裕的資金來用於房屋的修繕我不知道院長可不可以幫我把這個跟請農業部來研究最好來做到 |
transcript.whisperx[39].start |
877.235 |
transcript.whisperx[39].end |
896.412 |
transcript.whisperx[39].text |
謝謝委員 我們在制定特別條例的時候就請各部會就它業管業務所需要的經費做一個盤點那現在這個部分我們回去請農業部能夠把它考量是否已經納入或者是做什麼樣其他的這個編制在未來的特別預算裡面那看能不能容得下來 |
transcript.whisperx[40].start |
897.028 |
transcript.whisperx[40].end |
914.688 |
transcript.whisperx[40].text |
好 非常謝謝院長就可能再拜託農業部那如果可以方便的話就把相關的狀況能不能給我一些書面的資料那後續怎麼做讓我們辦公室這邊也可以跟農民朋友來回應所以以上還是拜託因為颱風就要來了請院長繼續加油謝謝謝謝委員謝謝羅志強委員質詢 |