| IVOD_ID |
165581 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/165581 |
| 日期 |
2025-11-19 |
| 會議資料.會議代碼 |
聯席會議-11-4-20,15,19,23,26-1 |
| 會議資料.會議代碼:str |
第11屆第4會期財政、內政、經濟、交通、社會福利及衛生環境委員會第1次聯席會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
1 |
| 會議資料.種類 |
聯席會議 |
| 會議資料.委員會代碼[0] |
20 |
| 會議資料.委員會代碼[1] |
15 |
| 會議資料.委員會代碼[2] |
19 |
| 會議資料.委員會代碼[3] |
23 |
| 會議資料.委員會代碼[4] |
26 |
| 會議資料.委員會代碼:str[0] |
財政委員會 |
| 會議資料.委員會代碼:str[1] |
內政委員會 |
| 會議資料.委員會代碼:str[2] |
經濟委員會 |
| 會議資料.委員會代碼:str[3] |
交通委員會 |
| 會議資料.委員會代碼:str[4] |
社會福利及衛生環境委員會 |
| 會議資料.標題 |
第11屆第4會期財政、內政、經濟、交通、社會福利及衛生環境委員會第1次聯席會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-11-19T10:28:21+08:00 |
| 結束時間 |
2025-11-19T10:36:27+08:00 |
| 影片長度 |
00:08:06 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/9c5448532e3833d13c0073b3cf818d977119a7747a4c5c6c9ed37f72173c5d0910110eaefe7530705ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鍾佳濱 |
| 委員發言時間 |
10:28:21 - 10:36:27 |
| 會議時間 |
2025-11-19T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期財政、內政、經濟、交通、社會福利及衛生環境委員會第1次聯席會議(事由:審查行政院函請審議「中央政府花蓮馬太鞍溪堰塞湖災後重建特別預算案」。
【預算提案截止時間:11月18日(二)下午3時】
【11月19日及20日二天一次會】) |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
7.10159375 |
| transcript.pyannote[0].end |
12.09659375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
12.41721875 |
| transcript.pyannote[1].end |
18.18846875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
14.61096875 |
| transcript.pyannote[2].end |
14.99909375 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
15.33659375 |
| transcript.pyannote[3].end |
15.89346875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
16.09596875 |
| transcript.pyannote[4].end |
17.83409375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
18.84659375 |
| transcript.pyannote[5].end |
20.51721875 |
| transcript.pyannote[6].speaker |
SPEAKER_03 |
| transcript.pyannote[6].start |
23.47034375 |
| transcript.pyannote[6].end |
24.12846875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
24.80346875 |
| transcript.pyannote[7].end |
25.74846875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
27.70596875 |
| transcript.pyannote[8].end |
29.57909375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
30.22034375 |
| transcript.pyannote[9].end |
34.96221875 |
| transcript.pyannote[10].speaker |
SPEAKER_03 |
| transcript.pyannote[10].start |
35.23221875 |
| transcript.pyannote[10].end |
35.75534375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
35.78909375 |
| transcript.pyannote[11].end |
40.19346875 |
| transcript.pyannote[12].speaker |
SPEAKER_03 |
| transcript.pyannote[12].start |
40.59846875 |
| transcript.pyannote[12].end |
41.50971875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
41.50971875 |
| transcript.pyannote[13].end |
46.94346875 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
47.50034375 |
| transcript.pyannote[14].end |
51.97221875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
51.49971875 |
| transcript.pyannote[15].end |
53.72721875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
54.14909375 |
| transcript.pyannote[16].end |
55.22909375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
56.30909375 |
| transcript.pyannote[17].end |
60.13971875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
60.76409375 |
| transcript.pyannote[18].end |
63.17721875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
63.43034375 |
| transcript.pyannote[19].end |
63.95346875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
64.62846875 |
| transcript.pyannote[20].end |
66.90659375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
68.18909375 |
| transcript.pyannote[21].end |
69.23534375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
69.82596875 |
| transcript.pyannote[22].end |
70.77096875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
70.85534375 |
| transcript.pyannote[23].end |
71.66534375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
73.23471875 |
| transcript.pyannote[24].end |
74.90534375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
75.83346875 |
| transcript.pyannote[25].end |
76.94721875 |
| transcript.pyannote[26].speaker |
SPEAKER_03 |
| transcript.pyannote[26].start |
77.28471875 |
| transcript.pyannote[26].end |
82.46534375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
78.48284375 |
| transcript.pyannote[27].end |
81.38534375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
81.82409375 |
| transcript.pyannote[28].end |
94.02471875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
95.07096875 |
| transcript.pyannote[29].end |
95.59409375 |
| transcript.pyannote[30].speaker |
SPEAKER_03 |
| transcript.pyannote[30].start |
96.06659375 |
| transcript.pyannote[30].end |
97.31534375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
96.97784375 |
| transcript.pyannote[31].end |
99.66096875 |
| transcript.pyannote[32].speaker |
SPEAKER_03 |
| transcript.pyannote[32].start |
99.66096875 |
| transcript.pyannote[32].end |
99.99846875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
99.99846875 |
| transcript.pyannote[33].end |
105.01034375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
105.83721875 |
| transcript.pyannote[34].end |
106.69784375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
107.32221875 |
| transcript.pyannote[35].end |
109.95471875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
110.24159375 |
| transcript.pyannote[36].end |
111.22034375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
111.50721875 |
| transcript.pyannote[37].end |
112.87409375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
113.07659375 |
| transcript.pyannote[38].end |
116.36721875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
116.60346875 |
| transcript.pyannote[39].end |
120.95721875 |
| transcript.pyannote[40].speaker |
SPEAKER_03 |
| transcript.pyannote[40].start |
120.95721875 |
| transcript.pyannote[40].end |
121.32846875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
121.61534375 |
| transcript.pyannote[41].end |
134.82846875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
135.23346875 |
| transcript.pyannote[42].end |
137.57909375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
138.01784375 |
| transcript.pyannote[43].end |
139.73909375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
140.31284375 |
| transcript.pyannote[44].end |
140.95409375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
141.89909375 |
| transcript.pyannote[45].end |
142.43909375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
143.43471875 |
| transcript.pyannote[46].end |
144.27846875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
145.17284375 |
| transcript.pyannote[47].end |
145.89846875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
146.74221875 |
| transcript.pyannote[48].end |
153.44159375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
151.97346875 |
| transcript.pyannote[49].end |
153.47534375 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
153.47534375 |
| transcript.pyannote[50].end |
153.54284375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
153.54284375 |
| transcript.pyannote[51].end |
153.55971875 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
153.55971875 |
| transcript.pyannote[52].end |
153.57659375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
154.26846875 |
| transcript.pyannote[53].end |
157.82909375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
158.53784375 |
| transcript.pyannote[54].end |
161.37284375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
161.82846875 |
| transcript.pyannote[55].end |
163.41471875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
163.53284375 |
| transcript.pyannote[56].end |
167.80221875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
168.12284375 |
| transcript.pyannote[57].end |
169.89471875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
170.43471875 |
| transcript.pyannote[58].end |
171.49784375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
172.05471875 |
| transcript.pyannote[59].end |
173.42159375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
173.69159375 |
| transcript.pyannote[60].end |
174.51846875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
174.95721875 |
| transcript.pyannote[61].end |
179.73284375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
180.93096875 |
| transcript.pyannote[62].end |
182.61846875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
182.87159375 |
| transcript.pyannote[63].end |
186.97221875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
187.29284375 |
| transcript.pyannote[64].end |
188.71034375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
188.81159375 |
| transcript.pyannote[65].end |
191.12346875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
191.51159375 |
| transcript.pyannote[66].end |
192.38909375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
192.86159375 |
| transcript.pyannote[67].end |
193.72221875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
194.21159375 |
| transcript.pyannote[68].end |
194.76846875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
195.61221875 |
| transcript.pyannote[69].end |
196.91159375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
196.96221875 |
| transcript.pyannote[70].end |
205.82159375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
206.49659375 |
| transcript.pyannote[71].end |
209.14596875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
209.56784375 |
| transcript.pyannote[72].end |
211.03596875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
211.42409375 |
| transcript.pyannote[73].end |
213.28034375 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
214.30971875 |
| transcript.pyannote[74].end |
214.39409375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
214.39409375 |
| transcript.pyannote[75].end |
216.62159375 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
217.36409375 |
| transcript.pyannote[76].end |
219.40596875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
219.60846875 |
| transcript.pyannote[77].end |
221.70096875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
222.05534375 |
| transcript.pyannote[78].end |
233.64846875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
234.17159375 |
| transcript.pyannote[79].end |
236.80409375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
237.47909375 |
| transcript.pyannote[80].end |
237.76596875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
238.20471875 |
| transcript.pyannote[81].end |
239.16659375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
239.60534375 |
| transcript.pyannote[82].end |
240.11159375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
240.65159375 |
| transcript.pyannote[83].end |
242.17034375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
242.76096875 |
| transcript.pyannote[84].end |
246.43971875 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
246.84471875 |
| transcript.pyannote[85].end |
260.68221875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
247.26659375 |
| transcript.pyannote[86].end |
248.48159375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
251.35034375 |
| transcript.pyannote[87].end |
253.71284375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
255.06284375 |
| transcript.pyannote[88].end |
255.56909375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
256.81784375 |
| transcript.pyannote[89].end |
257.32409375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
258.52221875 |
| transcript.pyannote[90].end |
259.04534375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
259.34909375 |
| transcript.pyannote[91].end |
266.47034375 |
| transcript.pyannote[92].speaker |
SPEAKER_02 |
| transcript.pyannote[92].start |
266.62221875 |
| transcript.pyannote[92].end |
277.01721875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
274.89096875 |
| transcript.pyannote[93].end |
281.91096875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
282.36659375 |
| transcript.pyannote[94].end |
285.99471875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
287.36159375 |
| transcript.pyannote[95].end |
292.13721875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
292.35659375 |
| transcript.pyannote[96].end |
293.95971875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
294.12846875 |
| transcript.pyannote[97].end |
296.77784375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
297.40221875 |
| transcript.pyannote[98].end |
302.26221875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
305.43471875 |
| transcript.pyannote[99].end |
309.24846875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
309.36659375 |
| transcript.pyannote[100].end |
311.49284375 |
| transcript.pyannote[101].speaker |
SPEAKER_03 |
| transcript.pyannote[101].start |
311.96534375 |
| transcript.pyannote[101].end |
312.55596875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
312.55596875 |
| transcript.pyannote[102].end |
313.97346875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
314.37846875 |
| transcript.pyannote[103].end |
317.04471875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
318.19221875 |
| transcript.pyannote[104].end |
320.33534375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
321.14534375 |
| transcript.pyannote[105].end |
323.71034375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
324.16596875 |
| transcript.pyannote[106].end |
326.52846875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
326.56221875 |
| transcript.pyannote[107].end |
329.93721875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
330.37596875 |
| transcript.pyannote[108].end |
331.84409375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
332.16471875 |
| transcript.pyannote[109].end |
333.43034375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
333.75096875 |
| transcript.pyannote[110].end |
337.73346875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
337.96971875 |
| transcript.pyannote[111].end |
344.55096875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
347.28471875 |
| transcript.pyannote[112].end |
348.22971875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
349.86659375 |
| transcript.pyannote[113].end |
351.14909375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
352.60034375 |
| transcript.pyannote[114].end |
354.67596875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
355.33409375 |
| transcript.pyannote[115].end |
356.86971875 |
| transcript.pyannote[116].speaker |
SPEAKER_03 |
| transcript.pyannote[116].start |
355.55346875 |
| transcript.pyannote[116].end |
358.32096875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
358.15221875 |
| transcript.pyannote[117].end |
360.12659375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
360.53159375 |
| transcript.pyannote[118].end |
366.70784375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
367.48409375 |
| transcript.pyannote[119].end |
372.19221875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
372.52971875 |
| transcript.pyannote[120].end |
376.79909375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
377.76096875 |
| transcript.pyannote[121].end |
378.65534375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
379.14471875 |
| transcript.pyannote[122].end |
389.72534375 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
390.09659375 |
| transcript.pyannote[123].end |
399.39471875 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
399.71534375 |
| transcript.pyannote[124].end |
404.35596875 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
404.82846875 |
| transcript.pyannote[125].end |
407.47784375 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
408.38909375 |
| transcript.pyannote[126].end |
410.41409375 |
| transcript.pyannote[127].speaker |
SPEAKER_02 |
| transcript.pyannote[127].start |
410.98784375 |
| transcript.pyannote[127].end |
417.28221875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
416.55659375 |
| transcript.pyannote[128].end |
425.97284375 |
| transcript.pyannote[129].speaker |
SPEAKER_03 |
| transcript.pyannote[129].start |
425.97284375 |
| transcript.pyannote[129].end |
427.23846875 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
427.54221875 |
| transcript.pyannote[130].end |
428.36909375 |
| transcript.pyannote[131].speaker |
SPEAKER_03 |
| transcript.pyannote[131].start |
428.36909375 |
| transcript.pyannote[131].end |
428.38596875 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
428.87534375 |
| transcript.pyannote[132].end |
432.25034375 |
| transcript.pyannote[133].speaker |
SPEAKER_03 |
| transcript.pyannote[133].start |
432.62159375 |
| transcript.pyannote[133].end |
433.56659375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
433.56659375 |
| transcript.pyannote[134].end |
434.66346875 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
435.43971875 |
| transcript.pyannote[135].end |
436.82346875 |
| transcript.pyannote[136].speaker |
SPEAKER_03 |
| transcript.pyannote[136].start |
436.95846875 |
| transcript.pyannote[136].end |
437.36346875 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
437.71784375 |
| transcript.pyannote[137].end |
438.67971875 |
| transcript.pyannote[138].speaker |
SPEAKER_03 |
| transcript.pyannote[138].start |
439.35471875 |
| transcript.pyannote[138].end |
439.67534375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
439.67534375 |
| transcript.pyannote[139].end |
440.78909375 |
| transcript.pyannote[140].speaker |
SPEAKER_03 |
| transcript.pyannote[140].start |
439.69221875 |
| transcript.pyannote[140].end |
439.92846875 |
| transcript.pyannote[141].speaker |
SPEAKER_03 |
| transcript.pyannote[141].start |
441.44721875 |
| transcript.pyannote[141].end |
447.03284375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
447.18471875 |
| transcript.pyannote[142].end |
449.46284375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
450.23909375 |
| transcript.pyannote[143].end |
461.29221875 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
462.32159375 |
| transcript.pyannote[144].end |
463.08096875 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
463.87409375 |
| transcript.pyannote[145].end |
465.76409375 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
466.52346875 |
| transcript.pyannote[146].end |
468.36284375 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
468.56534375 |
| transcript.pyannote[147].end |
469.74659375 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
470.13471875 |
| transcript.pyannote[148].end |
479.16284375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
479.93909375 |
| transcript.pyannote[149].end |
480.90096875 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
481.72784375 |
| transcript.pyannote[150].end |
482.57159375 |
| transcript.pyannote[151].speaker |
SPEAKER_02 |
| transcript.pyannote[151].start |
483.95534375 |
| transcript.pyannote[151].end |
485.27159375 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
484.63034375 |
| transcript.pyannote[152].end |
485.28846875 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
485.92971875 |
| transcript.pyannote[153].end |
487.61721875 |
| transcript.whisperx[0].start |
7.27 |
| transcript.whisperx[0].end |
18.901 |
| transcript.whisperx[0].text |
主席 在場委員先進列席的政府經濟上的官員會場工作夥伴媒體記者女士先生有請行政院陳主席長財政部莊部長以及經濟部的賴次長經濟部賴次長 請委員好主席長好部長好 還有我們次長好 |
| transcript.whisperx[1].start |
30.67 |
| transcript.whisperx[1].end |
54.947 |
| transcript.whisperx[1].text |
來主席來主席長我們明年度的預算規模支出是超過三兆是好請問財政部長那我們的稅率是不是兩兆2.8兆是的那身為我們國家的財政大臣你覺得這樣的要求有這樣的稅率會不會有點吃力這樣的稅率其實因為明年的稅率會減少主要因為在我只問你簡單回答就好好那 |
| transcript.whisperx[2].start |
56.343 |
| transcript.whisperx[2].end |
76.542 |
| transcript.whisperx[2].text |
你們知道嗎 目前我們預算當中我請教次長 賴次長你覺得我們經濟建設的預算較多還是這三張預算佔最大數的是什麼明年的總預算最大宗的正式別水利 社福 還是什麼沒辦法回答 來 |
| transcript.whisperx[3].start |
78.946 |
| transcript.whisperx[3].end |
104.505 |
| transcript.whisperx[3].text |
對國防支出好我們來看一下國防支出國防支出將近9500億足足比去年多了比前一年度多了1000塊800億將近逼近我們GDP的3.32那你覺得國人支持嗎主席長我們的民意調查一半的國人支持這裡面大部分的國防預算在過去的年度當中從2000年以來有四位總統這四位總統 |
| transcript.whisperx[4].start |
107.592 |
| transcript.whisperx[4].end |
121.063 |
| transcript.whisperx[4].text |
當中我們看到有編國防預算特別預算的有誰 陳水扁總統當時編了六千億但是沒有被國會接受蔡英文總統任內編了快五千億通過了 是不是這樣子是 |
| transcript.whisperx[5].start |
121.684 |
| transcript.whisperx[5].end |
143.84 |
| transcript.whisperx[5].text |
可見過去從兩千年以來這四位總統陳總統重視國防蔡總統重視國防國會有支持那接下來我們的特別預算是編什麼我們來看一下我們來猜猜看來請教蔡次長你覺得過去的幾任總統對哪個部門比較重視救災還是振興經濟還是國防 |
| transcript.whisperx[6].start |
147.832 |
| transcript.whisperx[6].end |
153.306 |
| transcript.whisperx[6].text |
台灣因為地理位置的關係所以我們需要水利的建設很好 我們來看一下 |
| transcript.whisperx[7].start |
154.515 |
| transcript.whisperx[7].end |
179.461 |
| transcript.whisperx[7].text |
李登輝總統的時候遇到921特別預算800億陳水扁總統我們有三個治水預算對不對 賴市長其中呢 防疫紓困也佔了500億也是遇到了天災或一些事情振興經濟花了5000億馬英九總統裡面都在做振興建設 災後重建還保留了兩項治水預算 是不是所以治水過去是我們的主軸 再往下看 |
| transcript.whisperx[8].start |
181.307 |
| transcript.whisperx[8].end |
205.546 |
| transcript.whisperx[8].text |
來 我們看蔡英文總統之後結果遇到COVID-19有防疫紓困就佔了一半 快一半國防開始出現了振興經濟也加了三分之一兩兆六千億主席長我們的特別預算從李登輝總統的八百億到陳水扁總統的七千多億到了馬英九總統的八千多億一下到蔡總統變成了兩兆六 |
| transcript.whisperx[9].start |
206.55 |
| transcript.whisperx[9].end |
216.418 |
| transcript.whisperx[9].text |
您覺得特別預算對我國家的一個財政有沒有產生一個很大的一個部門還是很大的壓力我們怎麼有辦法編出這麼多的特別預算 |
| transcript.whisperx[10].start |
217.701 |
| transcript.whisperx[10].end |
236.473 |
| transcript.whisperx[10].text |
將近我們明年的稅數的規模了嘛 是不是這樣蔡總統半年任內我們的稅數規模也不到三兆嘛 對不對可是八年的特別預算就將近是一年的總預算所以可以說啊 蔡總統做了八年的總統用了九年的預算規模 可不可以這樣講 |
| transcript.whisperx[11].start |
237.52 |
| transcript.whisperx[11].end |
266.096 |
| transcript.whisperx[11].text |
好 那國家財政 莊部長那國家財政能夠支持嗎為什麼那時候蔡總統做八年的總統可以用到九年的年度總預算規模有幾項特別預算非常重要像前瞻基礎建設計畫因為這樣為什麼我們那個財政能力帶動經濟成長 稅收成長所以我們有多餘的錢就去還債所以整個財政運氣很好那你覺得未來我們還有蔡總統這八年的黃金時光可以再去支撐同樣規模的特別預算嗎 |
| transcript.whisperx[12].start |
266.596 |
| transcript.whisperx[12].end |
270.797 |
| transcript.whisperx[12].text |
所以說 我們來看一下賴總統不到兩年我們就用了七千億的特別預算了大家來想想看接下來我們還有哪些錢要花 往下看 |
| transcript.whisperx[13].start |
287.421 |
| transcript.whisperx[13].end |
301.948 |
| transcript.whisperx[13].text |
有治水有防疫有災害重建有紓困振興有建設發展還有國防還有關稅衝擊還有哪些國家的重大問題需要特別預算還是公務預算就可以支應是要中央調度還是要地方支出主席長你認為呢要用特別預算公務預算還是中央來調度還是地方支出未來這些事情有沒有可能地方來出錢不可能對往下看這些事情不可能地方來出錢但是我們來看一下 |
| transcript.whisperx[14].start |
318.4 |
| transcript.whisperx[14].end |
344.298 |
| transcript.whisperx[14].text |
憲法規定第十章到第十三章社會福利是地方的一半事項目前我國的社會保險誰在出錢我們來看一下李登輝總統時候的公保虧損七百多億他手上就要撥補完成接著我們各後來的總統總共撥了四千三百六十億加起來最後加上未來的七百億會高達五千八百億這些錢是地方出還是中央出 |
| transcript.whisperx[15].start |
347.318 |
| transcript.whisperx[15].end |
376.585 |
| transcript.whisperx[15].text |
目前是誰出 主席長這是誰在出這些錢是誰 撥補的錢是誰出的中央的預算還是地方預算中央出的好我們來看來 現在我們有就職的公教退休有公務人員退府 有勞保 國保跟農保這些除了三個後面社會保險由中央政府 由政府負最終責任之外這兩個退府基金其實基本上他要設法自己去 |
| transcript.whisperx[16].start |
377.813 |
| transcript.whisperx[16].end |
378.153 |
| transcript.whisperx[16].text |
去填補對不對 |
| transcript.whisperx[17].start |
408.433 |
| transcript.whisperx[17].end |
431.75 |
| transcript.whisperx[17].text |
這20兆的潛藏負債財政有沒有辦法支應這個部分確實是基於社會安全保險起伏是未來的一個潛藏負債是的 那我現在問一下主席長那個財化法之後我們現在地方拿走那麼多錢中央有能力去負擔這20兆的潛藏負債嗎往下看這個是有困難的困難的嘛現在再修的財化法要再舉債560億5600億5600億 對有沒有超過公債法上限 |
| transcript.whisperx[18].start |
437.796 |
| transcript.whisperx[18].end |
460.074 |
| transcript.whisperx[18].text |
有沒有辦法執行政府能違法嗎所以這個部分如果沒有縮減那縮減要縮減哪些項目這就是一個問題所以啊我說我們現在在省特別預算我們特別預算恐怕財化法被二修之後中央政府再也沒有能力透過特別預算來支應我們現在這270億的天災的一個補救了 |
| transcript.whisperx[19].start |
463.922 |
| transcript.whisperx[19].end |
482.037 |
| transcript.whisperx[19].text |
所以在這裡呢 要提醒行政院裁判法 願滿的裁判法要堅持到底不然的話 未來中央的財政惡化淺藏的負債沒辦法支持未來也沒有能力用特別預算來補足天災應變的這些能力組長同意嗎是部長同意嗎沒有錯好 謝謝好 謝謝鍾嘉賓委員 |