IVOD_ID |
157622 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157622 |
日期 |
2024-11-28 |
會議資料.會議代碼 |
委員會-11-2-20-10 |
會議資料.會議代碼:str |
第11屆第2會期財政委員會第10次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
10 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第2會期財政委員會第10次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-11-28T11:30:16+08:00 |
結束時間 |
2024-11-28T11:41:59+08:00 |
影片長度 |
00:11:43 |
支援功能[0] |
ai-transcript |
支援功能[1] |
gazette |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/9b765842ec257966d99013dd3304363b768d6645aa7846739bb85de07fde91d3ebd2ef2fddbaddb65ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅明才 |
委員發言時間 |
11:30:16 - 11:41:59 |
會議時間 |
2024-11-28T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期財政委員會第10次全體委員會議(事由:一、邀請行政院主計總處陳主計長淑姿、審計部陳審計長瑞敏率所屬單位主管列席業務報告,並備質詢。
二、審查中華民國114年度中央政府總預算案有關主計總處暨審計部、審計部臺北市審計處、審計部新北市審計處、審計部桃園市審計處、審計部臺中市審計處、審計部臺南市審計處、審計部高雄市審計處部分。(詢答及處理)
三、審查中華民國114年度中央政府總預算案有關直轄市及縣市政府。調整軍公教人員待遇準備。災害準備金。第二預備金。(詢答及處理)
【預算提案截止時間:11月26日(二)中午12時】
【11月25日及28日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
5.48159375 |
transcript.pyannote[0].end |
8.48534375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
9.07596875 |
transcript.pyannote[1].end |
9.64971875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
10.66221875 |
transcript.pyannote[2].end |
11.52284375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
15.80909375 |
transcript.pyannote[3].end |
16.45034375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
16.41659375 |
transcript.pyannote[4].end |
16.43346875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
16.45034375 |
transcript.pyannote[5].end |
16.90596875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
17.05784375 |
transcript.pyannote[6].end |
17.42909375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
18.17159375 |
transcript.pyannote[7].end |
18.61034375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
19.35284375 |
transcript.pyannote[8].end |
21.32721875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
21.85034375 |
transcript.pyannote[9].end |
23.01471875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
23.79096875 |
transcript.pyannote[10].end |
25.29284375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
25.76534375 |
transcript.pyannote[11].end |
31.55346875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
32.29596875 |
transcript.pyannote[12].end |
37.03784375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
37.34159375 |
transcript.pyannote[13].end |
40.75034375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
43.11284375 |
transcript.pyannote[14].end |
44.73284375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
45.05346875 |
transcript.pyannote[15].end |
45.22221875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
45.98159375 |
transcript.pyannote[16].end |
50.72346875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
50.72346875 |
transcript.pyannote[17].end |
52.54596875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
52.63034375 |
transcript.pyannote[18].end |
54.63846875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
55.31346875 |
transcript.pyannote[19].end |
55.92096875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
56.37659375 |
transcript.pyannote[20].end |
56.93346875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
57.57471875 |
transcript.pyannote[21].end |
58.33409375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
59.26221875 |
transcript.pyannote[22].end |
59.98784375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
60.52784375 |
transcript.pyannote[23].end |
61.11846875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
61.33784375 |
transcript.pyannote[24].end |
62.14784375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
62.67096875 |
transcript.pyannote[25].end |
63.27846875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
63.85221875 |
transcript.pyannote[26].end |
65.06721875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
65.55659375 |
transcript.pyannote[27].end |
66.80534375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
66.97409375 |
transcript.pyannote[28].end |
66.99096875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
67.04159375 |
transcript.pyannote[29].end |
67.85159375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
68.15534375 |
transcript.pyannote[30].end |
78.19596875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
78.41534375 |
transcript.pyannote[31].end |
80.35596875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
81.23346875 |
transcript.pyannote[32].end |
81.84096875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
82.16159375 |
transcript.pyannote[33].end |
83.79846875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
83.88284375 |
transcript.pyannote[34].end |
84.84471875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
85.72221875 |
transcript.pyannote[35].end |
87.67971875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
88.89471875 |
transcript.pyannote[36].end |
89.82284375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
91.13909375 |
transcript.pyannote[37].end |
91.84784375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
92.11784375 |
transcript.pyannote[38].end |
92.55659375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
93.26534375 |
transcript.pyannote[39].end |
94.21034375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
94.48034375 |
transcript.pyannote[40].end |
96.26909375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
97.18034375 |
transcript.pyannote[41].end |
101.48346875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
101.92221875 |
transcript.pyannote[42].end |
102.78284375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
103.54221875 |
transcript.pyannote[43].end |
104.97659375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
105.88784375 |
transcript.pyannote[44].end |
108.43596875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
108.68909375 |
transcript.pyannote[45].end |
120.34971875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
119.84346875 |
transcript.pyannote[46].end |
121.88534375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
122.44221875 |
transcript.pyannote[47].end |
123.97784375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
124.31534375 |
transcript.pyannote[48].end |
125.61471875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
125.80034375 |
transcript.pyannote[49].end |
126.79596875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
127.62284375 |
transcript.pyannote[50].end |
128.29784375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
129.27659375 |
transcript.pyannote[51].end |
130.27221875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
130.54221875 |
transcript.pyannote[52].end |
131.55471875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
132.56721875 |
transcript.pyannote[53].end |
133.34346875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
134.00159375 |
transcript.pyannote[54].end |
136.36409375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
137.57909375 |
transcript.pyannote[55].end |
138.18659375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
138.42284375 |
transcript.pyannote[56].end |
139.60409375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
139.77284375 |
transcript.pyannote[57].end |
140.02596875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
140.02596875 |
transcript.pyannote[58].end |
140.09346875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
140.09346875 |
transcript.pyannote[59].end |
140.11034375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
140.43096875 |
transcript.pyannote[60].end |
140.90346875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
141.24096875 |
transcript.pyannote[61].end |
142.08471875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
142.43909375 |
transcript.pyannote[62].end |
142.92846875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
143.56971875 |
transcript.pyannote[63].end |
144.88596875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
145.29096875 |
transcript.pyannote[64].end |
146.28659375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
146.47221875 |
transcript.pyannote[65].end |
146.82659375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
147.82221875 |
transcript.pyannote[66].end |
148.83471875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
149.10471875 |
transcript.pyannote[67].end |
150.37034375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
151.70346875 |
transcript.pyannote[68].end |
152.54721875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
153.44159375 |
transcript.pyannote[69].end |
153.77909375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
154.33596875 |
transcript.pyannote[70].end |
155.21346875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
155.58471875 |
transcript.pyannote[71].end |
157.42409375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
157.81221875 |
transcript.pyannote[72].end |
159.36471875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
160.27596875 |
transcript.pyannote[73].end |
161.05221875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
162.04784375 |
transcript.pyannote[74].end |
163.06034375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
163.34721875 |
transcript.pyannote[75].end |
164.35971875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
164.64659375 |
transcript.pyannote[76].end |
165.05159375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
165.38909375 |
transcript.pyannote[77].end |
166.84034375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
165.47346875 |
transcript.pyannote[78].end |
166.01346875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
167.31284375 |
transcript.pyannote[79].end |
167.78534375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
167.66721875 |
transcript.pyannote[80].end |
167.75159375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
167.78534375 |
transcript.pyannote[81].end |
169.21971875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
169.23659375 |
transcript.pyannote[82].end |
169.30409375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
169.97909375 |
transcript.pyannote[83].end |
170.68784375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
170.95784375 |
transcript.pyannote[84].end |
172.07159375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
172.10534375 |
transcript.pyannote[85].end |
172.47659375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
172.39221875 |
transcript.pyannote[86].end |
173.18534375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
173.25284375 |
transcript.pyannote[87].end |
178.70346875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
177.33659375 |
transcript.pyannote[88].end |
178.23096875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
179.26034375 |
transcript.pyannote[89].end |
179.61471875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
179.76659375 |
transcript.pyannote[90].end |
181.03221875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
181.77471875 |
transcript.pyannote[91].end |
182.66909375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
183.88409375 |
transcript.pyannote[92].end |
184.93034375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
185.48721875 |
transcript.pyannote[93].end |
185.94284375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
186.49971875 |
transcript.pyannote[94].end |
187.07346875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
187.56284375 |
transcript.pyannote[95].end |
188.30534375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
188.81159375 |
transcript.pyannote[96].end |
190.16159375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
190.93784375 |
transcript.pyannote[97].end |
191.95034375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
193.46909375 |
transcript.pyannote[98].end |
194.49846875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
195.76409375 |
transcript.pyannote[99].end |
195.94971875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
196.69221875 |
transcript.pyannote[100].end |
197.26596875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
198.19409375 |
transcript.pyannote[101].end |
199.51034375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
199.91534375 |
transcript.pyannote[102].end |
200.72534375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
201.70409375 |
transcript.pyannote[103].end |
202.48034375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
202.61534375 |
transcript.pyannote[104].end |
204.03284375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
204.58971875 |
transcript.pyannote[105].end |
205.43346875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
205.92284375 |
transcript.pyannote[106].end |
207.15471875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
209.58471875 |
transcript.pyannote[107].end |
233.56409375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
233.56409375 |
transcript.pyannote[108].end |
238.94721875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
234.17159375 |
transcript.pyannote[109].end |
234.76221875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
239.67284375 |
transcript.pyannote[110].end |
240.73596875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
240.97221875 |
transcript.pyannote[111].end |
243.73971875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
244.27971875 |
transcript.pyannote[112].end |
245.96721875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
246.87846875 |
transcript.pyannote[113].end |
248.22846875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
248.86971875 |
transcript.pyannote[114].end |
250.10159375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
250.72596875 |
transcript.pyannote[115].end |
254.47221875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
254.84346875 |
transcript.pyannote[116].end |
256.27784375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
257.52659375 |
transcript.pyannote[117].end |
258.69096875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
260.17596875 |
transcript.pyannote[118].end |
269.91284375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
262.60596875 |
transcript.pyannote[119].end |
263.77034375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
270.30096875 |
transcript.pyannote[120].end |
272.78159375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
273.45659375 |
transcript.pyannote[121].end |
279.32909375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
280.32471875 |
transcript.pyannote[122].end |
284.18909375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
284.18909375 |
transcript.pyannote[123].end |
287.05784375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
287.58096875 |
transcript.pyannote[124].end |
288.62721875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
289.94346875 |
transcript.pyannote[125].end |
292.18784375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
293.82471875 |
transcript.pyannote[126].end |
294.73596875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
295.47846875 |
transcript.pyannote[127].end |
297.38534375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
298.14471875 |
transcript.pyannote[128].end |
299.34284375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
298.16159375 |
transcript.pyannote[129].end |
300.45659375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
299.51159375 |
transcript.pyannote[130].end |
300.69284375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
300.82784375 |
transcript.pyannote[131].end |
302.02596875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
302.49846875 |
transcript.pyannote[132].end |
305.18159375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
305.94096875 |
transcript.pyannote[133].end |
306.81846875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
307.42596875 |
transcript.pyannote[134].end |
312.23534375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
313.21409375 |
transcript.pyannote[135].end |
314.07471875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
314.36159375 |
transcript.pyannote[136].end |
315.59346875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
316.13346875 |
transcript.pyannote[137].end |
316.60596875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
318.17534375 |
transcript.pyannote[138].end |
319.35659375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
320.38596875 |
transcript.pyannote[139].end |
321.28034375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
321.97221875 |
transcript.pyannote[140].end |
323.81159375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
325.11096875 |
transcript.pyannote[141].end |
329.07659375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
329.59971875 |
transcript.pyannote[142].end |
330.46034375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
330.12284375 |
transcript.pyannote[143].end |
332.82284375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
331.37159375 |
transcript.pyannote[144].end |
335.40471875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
337.26096875 |
transcript.pyannote[145].end |
338.03721875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
338.62784375 |
transcript.pyannote[146].end |
340.55159375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
341.41221875 |
transcript.pyannote[147].end |
344.07846875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
344.83784375 |
transcript.pyannote[148].end |
346.13721875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
347.41971875 |
transcript.pyannote[149].end |
347.92596875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
348.26346875 |
transcript.pyannote[150].end |
349.03971875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
349.15784375 |
transcript.pyannote[151].end |
350.28846875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
351.08159375 |
transcript.pyannote[152].end |
353.07284375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
354.79409375 |
transcript.pyannote[153].end |
355.30034375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
356.32971875 |
transcript.pyannote[154].end |
356.78534375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
356.92034375 |
transcript.pyannote[155].end |
357.22409375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
358.08471875 |
transcript.pyannote[156].end |
358.67534375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
359.40096875 |
transcript.pyannote[157].end |
360.44721875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
360.53159375 |
transcript.pyannote[158].end |
360.88596875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
361.76346875 |
transcript.pyannote[159].end |
363.95721875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
364.68284375 |
transcript.pyannote[160].end |
365.59409375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
366.15096875 |
transcript.pyannote[161].end |
367.51784375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
367.92284375 |
transcript.pyannote[162].end |
371.02784375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
372.29346875 |
transcript.pyannote[163].end |
373.77846875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
374.08221875 |
transcript.pyannote[164].end |
375.48284375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
375.51659375 |
transcript.pyannote[165].end |
375.88784375 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
376.57971875 |
transcript.pyannote[166].end |
377.06909375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
377.65971875 |
transcript.pyannote[167].end |
379.22909375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
381.03471875 |
transcript.pyannote[168].end |
382.33409375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
382.84034375 |
transcript.pyannote[169].end |
384.40971875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
385.11846875 |
transcript.pyannote[170].end |
387.21096875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
387.56534375 |
transcript.pyannote[171].end |
389.45534375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
390.92346875 |
transcript.pyannote[172].end |
391.98659375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
393.58971875 |
transcript.pyannote[173].end |
395.56409375 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
397.20096875 |
transcript.pyannote[174].end |
398.14596875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
398.92221875 |
transcript.pyannote[175].end |
399.39471875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
399.52971875 |
transcript.pyannote[176].end |
400.82909375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
400.96409375 |
transcript.pyannote[177].end |
401.47034375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
402.26346875 |
transcript.pyannote[178].end |
402.76971875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
403.02284375 |
transcript.pyannote[179].end |
403.29284375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
403.74846875 |
transcript.pyannote[180].end |
404.96346875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
405.94221875 |
transcript.pyannote[181].end |
406.36409375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
407.15721875 |
transcript.pyannote[182].end |
407.73096875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
408.62534375 |
transcript.pyannote[183].end |
411.02159375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
412.11846875 |
transcript.pyannote[184].end |
413.45159375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
414.78471875 |
transcript.pyannote[185].end |
416.30346875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
418.07534375 |
transcript.pyannote[186].end |
418.58159375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
419.79659375 |
transcript.pyannote[187].end |
421.60221875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
421.95659375 |
transcript.pyannote[188].end |
422.58096875 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
423.64409375 |
transcript.pyannote[189].end |
424.90971875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
425.63534375 |
transcript.pyannote[190].end |
426.27659375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
427.45784375 |
transcript.pyannote[191].end |
428.92596875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
431.44034375 |
transcript.pyannote[192].end |
432.97596875 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
434.52846875 |
transcript.pyannote[193].end |
435.23721875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
435.35534375 |
transcript.pyannote[194].end |
436.40159375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
438.57846875 |
transcript.pyannote[195].end |
439.42221875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
441.86909375 |
transcript.pyannote[196].end |
442.40909375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
443.16846875 |
transcript.pyannote[197].end |
443.65784375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
443.99534375 |
transcript.pyannote[198].end |
445.00784375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
445.90221875 |
transcript.pyannote[199].end |
447.43784375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
449.05784375 |
transcript.pyannote[200].end |
451.80846875 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
452.63534375 |
transcript.pyannote[201].end |
454.64346875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
455.62221875 |
transcript.pyannote[202].end |
456.16221875 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
456.97221875 |
transcript.pyannote[203].end |
459.67221875 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
459.82409375 |
transcript.pyannote[204].end |
461.98409375 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
462.60846875 |
transcript.pyannote[205].end |
464.24534375 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
465.29159375 |
transcript.pyannote[206].end |
466.23659375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
467.16471875 |
transcript.pyannote[207].end |
467.99159375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
468.64971875 |
transcript.pyannote[208].end |
469.39221875 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
469.84784375 |
transcript.pyannote[209].end |
470.75909375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
472.21034375 |
transcript.pyannote[210].end |
472.85159375 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
473.91471875 |
transcript.pyannote[211].end |
474.75846875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
476.15909375 |
transcript.pyannote[212].end |
478.40346875 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
478.62284375 |
transcript.pyannote[213].end |
478.72409375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
478.72409375 |
transcript.pyannote[214].end |
479.58471875 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
481.89659375 |
transcript.pyannote[215].end |
482.36909375 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
483.58409375 |
transcript.pyannote[216].end |
484.19159375 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
484.76534375 |
transcript.pyannote[217].end |
485.40659375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
486.45284375 |
transcript.pyannote[218].end |
487.65096875 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
488.34284375 |
transcript.pyannote[219].end |
489.64221875 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
490.36784375 |
transcript.pyannote[220].end |
491.75159375 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
492.10596875 |
transcript.pyannote[221].end |
493.62471875 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
494.75534375 |
transcript.pyannote[222].end |
497.74221875 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
498.31596875 |
transcript.pyannote[223].end |
499.37909375 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
500.59409375 |
transcript.pyannote[224].end |
501.33659375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
502.29846875 |
transcript.pyannote[225].end |
502.75409375 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
503.26034375 |
transcript.pyannote[226].end |
503.98596875 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
505.58909375 |
transcript.pyannote[227].end |
506.55096875 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
506.78721875 |
transcript.pyannote[228].end |
507.36096875 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
508.23846875 |
transcript.pyannote[229].end |
508.72784375 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
509.50409375 |
transcript.pyannote[230].end |
510.41534375 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
511.15784375 |
transcript.pyannote[231].end |
513.28409375 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
514.97159375 |
transcript.pyannote[232].end |
516.16971875 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
517.70534375 |
transcript.pyannote[233].end |
520.18596875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
520.35471875 |
transcript.pyannote[234].end |
520.65846875 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
521.06346875 |
transcript.pyannote[235].end |
521.43471875 |
transcript.pyannote[236].speaker |
SPEAKER_00 |
transcript.pyannote[236].start |
522.10971875 |
transcript.pyannote[236].end |
523.24034375 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
523.71284375 |
transcript.pyannote[237].end |
524.96159375 |
transcript.pyannote[238].speaker |
SPEAKER_00 |
transcript.pyannote[238].start |
525.90659375 |
transcript.pyannote[238].end |
526.86846875 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
527.10471875 |
transcript.pyannote[239].end |
528.62346875 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
528.92721875 |
transcript.pyannote[240].end |
529.83846875 |
transcript.pyannote[241].speaker |
SPEAKER_00 |
transcript.pyannote[241].start |
530.86784375 |
transcript.pyannote[241].end |
532.82534375 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
533.43284375 |
transcript.pyannote[242].end |
535.35659375 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
535.91346875 |
transcript.pyannote[243].end |
537.19596875 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
537.92159375 |
transcript.pyannote[244].end |
538.88346875 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
539.28846875 |
transcript.pyannote[245].end |
539.82846875 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
540.11534375 |
transcript.pyannote[246].end |
542.05596875 |
transcript.pyannote[247].speaker |
SPEAKER_00 |
transcript.pyannote[247].start |
542.88284375 |
transcript.pyannote[247].end |
544.21596875 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
544.90784375 |
transcript.pyannote[248].end |
545.73471875 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
546.34221875 |
transcript.pyannote[249].end |
547.69221875 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
548.24909375 |
transcript.pyannote[250].end |
549.51471875 |
transcript.pyannote[251].speaker |
SPEAKER_00 |
transcript.pyannote[251].start |
550.99971875 |
transcript.pyannote[251].end |
551.57346875 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
552.23159375 |
transcript.pyannote[252].end |
552.88971875 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
553.71659375 |
transcript.pyannote[253].end |
556.11284375 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
557.27721875 |
transcript.pyannote[254].end |
560.48346875 |
transcript.pyannote[255].speaker |
SPEAKER_00 |
transcript.pyannote[255].start |
560.48346875 |
transcript.pyannote[255].end |
561.17534375 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
560.50034375 |
transcript.pyannote[256].end |
560.56784375 |
transcript.pyannote[257].speaker |
SPEAKER_00 |
transcript.pyannote[257].start |
561.95159375 |
transcript.pyannote[257].end |
563.23409375 |
transcript.pyannote[258].speaker |
SPEAKER_00 |
transcript.pyannote[258].start |
564.38159375 |
transcript.pyannote[258].end |
565.03971875 |
transcript.pyannote[259].speaker |
SPEAKER_00 |
transcript.pyannote[259].start |
565.88346875 |
transcript.pyannote[259].end |
567.14909375 |
transcript.pyannote[260].speaker |
SPEAKER_00 |
transcript.pyannote[260].start |
568.49909375 |
transcript.pyannote[260].end |
569.79846875 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
571.31721875 |
transcript.pyannote[261].end |
572.12721875 |
transcript.pyannote[262].speaker |
SPEAKER_00 |
transcript.pyannote[262].start |
572.32971875 |
transcript.pyannote[262].end |
573.66284375 |
transcript.pyannote[263].speaker |
SPEAKER_00 |
transcript.pyannote[263].start |
575.67096875 |
transcript.pyannote[263].end |
577.10534375 |
transcript.pyannote[264].speaker |
SPEAKER_00 |
transcript.pyannote[264].start |
577.24034375 |
transcript.pyannote[264].end |
578.18534375 |
transcript.pyannote[265].speaker |
SPEAKER_00 |
transcript.pyannote[265].start |
579.60284375 |
transcript.pyannote[265].end |
580.48034375 |
transcript.pyannote[266].speaker |
SPEAKER_00 |
transcript.pyannote[266].start |
581.71221875 |
transcript.pyannote[266].end |
583.55159375 |
transcript.pyannote[267].speaker |
SPEAKER_00 |
transcript.pyannote[267].start |
584.41221875 |
transcript.pyannote[267].end |
586.40346875 |
transcript.pyannote[268].speaker |
SPEAKER_00 |
transcript.pyannote[268].start |
589.60971875 |
transcript.pyannote[268].end |
591.19596875 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
589.66034375 |
transcript.pyannote[269].end |
590.94284375 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
591.48284375 |
transcript.pyannote[270].end |
591.76971875 |
transcript.pyannote[271].speaker |
SPEAKER_00 |
transcript.pyannote[271].start |
591.76971875 |
transcript.pyannote[271].end |
592.56284375 |
transcript.pyannote[272].speaker |
SPEAKER_00 |
transcript.pyannote[272].start |
593.18721875 |
transcript.pyannote[272].end |
593.98034375 |
transcript.pyannote[273].speaker |
SPEAKER_00 |
transcript.pyannote[273].start |
594.50346875 |
transcript.pyannote[273].end |
596.47784375 |
transcript.pyannote[274].speaker |
SPEAKER_00 |
transcript.pyannote[274].start |
597.15284375 |
transcript.pyannote[274].end |
598.60409375 |
transcript.pyannote[275].speaker |
SPEAKER_00 |
transcript.pyannote[275].start |
598.95846875 |
transcript.pyannote[275].end |
602.73846875 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
603.02534375 |
transcript.pyannote[276].end |
604.20659375 |
transcript.pyannote[277].speaker |
SPEAKER_00 |
transcript.pyannote[277].start |
606.24846875 |
transcript.pyannote[277].end |
607.46346875 |
transcript.pyannote[278].speaker |
SPEAKER_00 |
transcript.pyannote[278].start |
607.69971875 |
transcript.pyannote[278].end |
609.11721875 |
transcript.pyannote[279].speaker |
SPEAKER_00 |
transcript.pyannote[279].start |
609.69096875 |
transcript.pyannote[279].end |
611.54721875 |
transcript.pyannote[280].speaker |
SPEAKER_01 |
transcript.pyannote[280].start |
612.10409375 |
transcript.pyannote[280].end |
614.24721875 |
transcript.pyannote[281].speaker |
SPEAKER_01 |
transcript.pyannote[281].start |
614.90534375 |
transcript.pyannote[281].end |
616.05284375 |
transcript.pyannote[282].speaker |
SPEAKER_00 |
transcript.pyannote[282].start |
615.07409375 |
transcript.pyannote[282].end |
618.29721875 |
transcript.pyannote[283].speaker |
SPEAKER_00 |
transcript.pyannote[283].start |
618.63471875 |
transcript.pyannote[283].end |
620.06909375 |
transcript.pyannote[284].speaker |
SPEAKER_00 |
transcript.pyannote[284].start |
620.74409375 |
transcript.pyannote[284].end |
621.72284375 |
transcript.pyannote[285].speaker |
SPEAKER_00 |
transcript.pyannote[285].start |
622.26284375 |
transcript.pyannote[285].end |
626.26221875 |
transcript.pyannote[286].speaker |
SPEAKER_00 |
transcript.pyannote[286].start |
627.02159375 |
transcript.pyannote[286].end |
629.65409375 |
transcript.pyannote[287].speaker |
SPEAKER_00 |
transcript.pyannote[287].start |
630.53159375 |
transcript.pyannote[287].end |
631.59471875 |
transcript.pyannote[288].speaker |
SPEAKER_00 |
transcript.pyannote[288].start |
633.50159375 |
transcript.pyannote[288].end |
634.56471875 |
transcript.pyannote[289].speaker |
SPEAKER_00 |
transcript.pyannote[289].start |
634.58159375 |
transcript.pyannote[289].end |
636.47159375 |
transcript.pyannote[290].speaker |
SPEAKER_00 |
transcript.pyannote[290].start |
637.04534375 |
transcript.pyannote[290].end |
639.22221875 |
transcript.pyannote[291].speaker |
SPEAKER_00 |
transcript.pyannote[291].start |
639.42471875 |
transcript.pyannote[291].end |
640.33596875 |
transcript.pyannote[292].speaker |
SPEAKER_00 |
transcript.pyannote[292].start |
640.85909375 |
transcript.pyannote[292].end |
643.40721875 |
transcript.pyannote[293].speaker |
SPEAKER_00 |
transcript.pyannote[293].start |
644.31846875 |
transcript.pyannote[293].end |
645.46596875 |
transcript.pyannote[294].speaker |
SPEAKER_01 |
transcript.pyannote[294].start |
647.05221875 |
transcript.pyannote[294].end |
650.30909375 |
transcript.pyannote[295].speaker |
SPEAKER_00 |
transcript.pyannote[295].start |
650.30909375 |
transcript.pyannote[295].end |
652.99221875 |
transcript.pyannote[296].speaker |
SPEAKER_01 |
transcript.pyannote[296].start |
650.32596875 |
transcript.pyannote[296].end |
650.37659375 |
transcript.pyannote[297].speaker |
SPEAKER_01 |
transcript.pyannote[297].start |
654.12284375 |
transcript.pyannote[297].end |
659.01659375 |
transcript.pyannote[298].speaker |
SPEAKER_00 |
transcript.pyannote[298].start |
657.19409375 |
transcript.pyannote[298].end |
659.06721875 |
transcript.pyannote[299].speaker |
SPEAKER_00 |
transcript.pyannote[299].start |
659.55659375 |
transcript.pyannote[299].end |
661.41284375 |
transcript.pyannote[300].speaker |
SPEAKER_00 |
transcript.pyannote[300].start |
661.68284375 |
transcript.pyannote[300].end |
662.81346875 |
transcript.pyannote[301].speaker |
SPEAKER_00 |
transcript.pyannote[301].start |
666.37409375 |
transcript.pyannote[301].end |
669.25971875 |
transcript.pyannote[302].speaker |
SPEAKER_00 |
transcript.pyannote[302].start |
670.23846875 |
transcript.pyannote[302].end |
672.38159375 |
transcript.pyannote[303].speaker |
SPEAKER_00 |
transcript.pyannote[303].start |
672.95534375 |
transcript.pyannote[303].end |
673.32659375 |
transcript.pyannote[304].speaker |
SPEAKER_00 |
transcript.pyannote[304].start |
673.96784375 |
transcript.pyannote[304].end |
676.04346875 |
transcript.pyannote[305].speaker |
SPEAKER_00 |
transcript.pyannote[305].start |
677.96721875 |
transcript.pyannote[305].end |
680.24534375 |
transcript.pyannote[306].speaker |
SPEAKER_00 |
transcript.pyannote[306].start |
681.25784375 |
transcript.pyannote[306].end |
683.16471875 |
transcript.pyannote[307].speaker |
SPEAKER_00 |
transcript.pyannote[307].start |
683.73846875 |
transcript.pyannote[307].end |
684.71721875 |
transcript.pyannote[308].speaker |
SPEAKER_00 |
transcript.pyannote[308].start |
684.97034375 |
transcript.pyannote[308].end |
685.49346875 |
transcript.pyannote[309].speaker |
SPEAKER_00 |
transcript.pyannote[309].start |
686.30346875 |
transcript.pyannote[309].end |
687.04596875 |
transcript.pyannote[310].speaker |
SPEAKER_00 |
transcript.pyannote[310].start |
687.38346875 |
transcript.pyannote[310].end |
691.26471875 |
transcript.pyannote[311].speaker |
SPEAKER_00 |
transcript.pyannote[311].start |
691.53471875 |
transcript.pyannote[311].end |
692.46284375 |
transcript.pyannote[312].speaker |
SPEAKER_00 |
transcript.pyannote[312].start |
693.08721875 |
transcript.pyannote[312].end |
694.43721875 |
transcript.pyannote[313].speaker |
SPEAKER_00 |
transcript.pyannote[313].start |
695.53409375 |
transcript.pyannote[313].end |
696.07409375 |
transcript.pyannote[314].speaker |
SPEAKER_00 |
transcript.pyannote[314].start |
697.13721875 |
transcript.pyannote[314].end |
698.77409375 |
transcript.pyannote[315].speaker |
SPEAKER_00 |
transcript.pyannote[315].start |
699.06096875 |
transcript.pyannote[315].end |
703.26284375 |
transcript.pyannote[316].speaker |
SPEAKER_01 |
transcript.pyannote[316].start |
701.96346875 |
transcript.pyannote[316].end |
702.08159375 |
transcript.pyannote[317].speaker |
SPEAKER_01 |
transcript.pyannote[317].start |
702.31784375 |
transcript.pyannote[317].end |
703.76909375 |
transcript.whisperx[0].start |
5.672 |
transcript.whisperx[0].end |
11.294 |
transcript.whisperx[0].text |
主席、各人、處列席、官員大家好。主席可不可以請主計長。請主計長。陳主計長。委員好。你好。的確,國內的貧富懸殊啊,越來越大。 |
transcript.whisperx[1].start |
24.295 |
transcript.whisperx[1].end |
40.412 |
transcript.whisperx[1].text |
一夜之秋我們看到美國總統的選舉很多人說拜登為什麼這一方面會輸川普會上主計長你覺得最大的意涵在哪裡 |
transcript.whisperx[2].start |
43.194 |
transcript.whisperx[2].end |
46.137 |
transcript.whisperx[2].text |
其實就是美國的美國夢現在已經消失了過去美國追求的就是 |
transcript.whisperx[3].start |
64.205 |
transcript.whisperx[3].end |
92.227 |
transcript.whisperx[3].text |
財富的自由他們追求的就是大概都生活在相同的理念以及所有的環境或者是你的生活、車輛等等有車有房這個都是大家通通都有但是結構一直在改變就是因為貧富懸殊越來越大臺灣現在最有錢跟 |
transcript.whisperx[4].start |
93.291 |
transcript.whisperx[4].end |
104.716 |
transcript.whisperx[4].text |
沒有資產的這個相差的比例是多少?它目前基尼西數它是差倍66.966倍啊?這個差距大不大? |
transcript.whisperx[5].start |
105.933 |
transcript.whisperx[5].end |
132.851 |
transcript.whisperx[5].text |
以目前來講因為我們也跟其他外國來比事實上也不算最高的但是這是自由經濟發展的一個必然的一個成果所以這個部分我們也盡量要來做如果你說的自由經濟發展最後的終點是貧富懸殊越來越大甚至是100倍是1000倍那主計長 |
transcript.whisperx[6].start |
134.042 |
transcript.whisperx[6].end |
159.173 |
transcript.whisperx[6].text |
那你這樣的一個自由經濟發展一定要趕快來做調整不然社會的動盪社會的不穩定馬上就出現就好比說現在物價飆漲房價高漲那主計長我請問你租房子的租屋族大概有多少人? |
transcript.whisperx[7].start |
162.373 |
transcript.whisperx[7].end |
169.396 |
transcript.whisperx[7].text |
幾百萬戶?一百萬戶三百萬的人,這些年輕人比較多數,在租房子認真念書畢業以後為了工作在雙北、在六都工作就要租房子 |
transcript.whisperx[8].start |
191.004 |
transcript.whisperx[8].end |
206.955 |
transcript.whisperx[8].text |
那主計長房價有沒有飆漲有最近房價有沒有比較往下掉目前是有啦有吧齁往下掉主計長我請問你那為什麼房租沒有掉 |
transcript.whisperx[9].start |
209.659 |
transcript.whisperx[9].end |
238.539 |
transcript.whisperx[9].text |
其實房租的部分我再補充說明一下因為我們統計調查的結果整個在需求上面有需要租屋的需求我們統計調查的數字大概87萬左右那所以我們本身最近在做一個有一些租屋補貼的一些政策那這一個部分目前大概也都是超過60萬以上的一個補助是這樣子對 但是覺得很奇怪打房不是政府說打房已經見效了嗎 |
transcript.whisperx[10].start |
239.727 |
transcript.whisperx[10].end |
258.499 |
transcript.whisperx[10].text |
成效出現房價開始緩或是跌那你房租應該要降啊不然你們要想辦法看有什麼策略讓300萬的租屋族他住得起他生活得起心智都沒漲啊 |
transcript.whisperx[11].start |
260.256 |
transcript.whisperx[11].end |
288.066 |
transcript.whisperx[11].text |
薪資是有漲喔,薪資是有漲一到九月的薪資它整個一個實質如果扣除通膨它實際是成長的好,你說薪資有漲,漲幾%這個部分它扣除通膨明目超過2%實質也在一點多%就是明目有超過2%啦,實質也一點多%這樣子啦你就漲那個一點多%不痛不癢 |
transcript.whisperx[12].start |
289.997 |
transcript.whisperx[12].end |
319.002 |
transcript.whisperx[12].text |
就算你漲個你說的2%所有的民眾感覺是難過的啊因為你薪資漲1%漲2%抵不過我吃的那個雞腿便當抵不過我每天工作中午晚上吃的排骨便當啊排骨台那個排骨便當1000一個便當也才 |
transcript.whisperx[13].start |
320.404 |
transcript.whisperx[13].end |
341.72 |
transcript.whisperx[13].text |
六、七十塊現在一個排骨便當要多少錢排骨便當的話火車站附近就是一百塊一百塊喔阿雞腿便當一百二十塊阿本來六十塊漲一百塊漲四十塊耶主計長阿超過70%捏然後你說薪資成長才2%跟你講3%好了 |
transcript.whisperx[14].start |
348.319 |
transcript.whisperx[14].end |
375.698 |
transcript.whisperx[14].text |
遠遠追不上物價的飆漲這個是扣除物價的成長總之啊是主計長是很多官員來這邊啊是鐵打的政府、流水的官啊流來流去反正我在這邊待個兩年、三年時間到下台一鞠躬沒什麼事可是國家的發展是要永續的啊是 |
transcript.whisperx[15].start |
376.633 |
transcript.whisperx[15].end |
404.89 |
transcript.whisperx[15].text |
拜託啊,貧富懸殊要怎麼樣縮短它的差距不是要叫大家貧喔你們政府就要想方法讓大家全部都富起來時代在變政府很多官員的心態一直沒有調整沒有與時俱進是主計長是你有沒有買比特幣沒有 |
transcript.whisperx[16].start |
407.199 |
transcript.whisperx[16].end |
435.86 |
transcript.whisperx[16].text |
你沒有啊政府有沒有鼓勵大家買比特幣一般也是不鼓勵啦從頭到尾都反對啊所以我舉例的這個新興的產業因為政府的阻止政府的不輔導讓很多年輕人啊少掉致富的機會 |
transcript.whisperx[17].start |
442.057 |
transcript.whisperx[17].end |
464.012 |
transcript.whisperx[17].text |
虛擬貨幣這些交易或這次成長老扣扣都不知道啦最有機會接觸的就是這些年輕人政府又全盤的封殺主計長如果政府從10年前就開始給予適當的空間合法合規的輔導主計長你知道 |
transcript.whisperx[18].start |
467.516 |
transcript.whisperx[18].end |
492.476 |
transcript.whisperx[18].text |
這10年來虛擬貨幣、比特幣的成長成長了幾倍?因為有時候高風險高報酬啦成長了幾倍?主計長成長了1萬倍換言之10年前你如果讓這些年輕人他去接觸他有機會可以賺到錢 |
transcript.whisperx[19].start |
494.927 |
transcript.whisperx[19].end |
519.534 |
transcript.whisperx[19].text |
結果你封殺了這些年輕的機會造成了過去在整個結構裡面富者橫富、貧者越貧所以你就拉開不斷的拉開了財富的差距我們就要說政府要用新的思維 |
transcript.whisperx[20].start |
522.167 |
transcript.whisperx[20].end |
549.333 |
transcript.whisperx[20].text |
來多想一些辦法來鼓勵年輕人讓年輕人活在臺灣是有希望的讓未來社會的結構不要產生矛盾是要更和諧的這個才是你們每年編預算的一個重要的宗旨最後再問一個問題軍公教人員待遇的問題是我最關心的 |
transcript.whisperx[21].start |
551.035 |
transcript.whisperx[21].end |
579.988 |
transcript.whisperx[21].text |
我希望每一年政府稅收都超徵今年超徵多少這個部分目前大概應該是三千多億吧三千多億本席一直主張每一個人發紅包一萬塊你們已經開始做了沒這個部分一個幾萬塊大家都會心存感激謝謝政府謝謝主計長 |
transcript.whisperx[22].start |
581.752 |
transcript.whisperx[22].end |
610.491 |
transcript.whisperx[22].text |
你與其把錢亂亂花倒不如拿一萬塊讓大家花放在自己的口袋更安心更安全而不是每一次你們來立法院拿著五張紙就叫所有的立委說欸臺電缺錢你要撥補一千億趕快趕快通過不要吧不要做這個該做的你要做所以說超徵就還稅於民啊 |
transcript.whisperx[23].start |
612.162 |
transcript.whisperx[23].end |
631.025 |
transcript.whisperx[23].text |
我們優先來還債還債可以部分的還啦然後你那個有一些不該花的一些軍購買了半天東西也沒到買的有的還沒過期的買的還被中間的前客A了一筆那個都很大條欸 |
transcript.whisperx[24].start |
633.527 |
transcript.whisperx[24].end |
662.552 |
transcript.whisperx[24].text |
黃先生主席長你多好好思考一下啦像臺電你一直要一千億那請問臺電有沒有做到開源節流現在核市做不做這個部分我們會請臺電來做檢討啦現在核市已經停掉嘛那核市做不做這個部分也必須要他們來做一些檢討之後你就算做不做你知道那個核市場那個地有多大 |
transcript.whisperx[25].start |
666.414 |
transcript.whisperx[25].end |
695.912 |
transcript.whisperx[25].text |
已經閒置在那邊多久?不信你問審計長一些土地閒置在那邊那一些老舊設備又不提升開園沒做、節流也沒做唯一想的就是趕快要錢要錢這樣的心態我們怎麼樣願意把一千億就隨便你們說了五張紙的報告我們就通過讓你們拿一千億去用拜託啊 |
transcript.whisperx[26].start |
697.419 |
transcript.whisperx[26].end |
701.243 |
transcript.whisperx[26].text |
錢要花在刀口上省一點用這是民脂民膏啊拜託謝謝 |
gazette.lineno |
884 |
gazette.blocks[0][0] |
羅委員明才:(11時30分)主席、各位委員、出列席官員,大家好。主席,麻煩請主計長。 |
gazette.blocks[1][0] |
主席:請主計長。 |
gazette.blocks[2][0] |
陳主計長淑姿:委員好。 |
gazette.blocks[3][0] |
羅委員明才:主計長好。國內的貧富懸殊越來越大,一葉知秋,我們看到美國總統的選舉,很多人問拜登為什麼會輸而川普為什麼會上,主計長,你覺得最大的意涵在哪裡? |
gazette.blocks[4][0] |
陳主計長淑姿:主要可能是通貨膨脹造成物價漲太多。 |
gazette.blocks[5][0] |
羅委員明才:對,其實就是美國的美國夢現在已經消失了,過去美國追求的就是財富的自由,他們所追求的大概都是相同的理念,所有的環境,或者是你的生活、車輛等等,有車有房都是大家統統都有。但是結構一直在改變,就是因為貧富懸殊越來越大。臺灣現在最有錢跟沒有資產的相差比例是多少? |
gazette.blocks[6][0] |
陳主計長淑姿:目前吉尼係數差倍是66.9。 |
gazette.blocks[7][0] |
羅委員明才:66倍,這個差距大不大? |
gazette.blocks[8][0] |
陳主計長淑姿:目前來講,我們也跟其他外國來比,事實上也不算最高的,但是這是自由經濟發展的必然成果,所以這個部分我們也儘量要來做…… |
gazette.blocks[9][0] |
羅委員明才:如果你說的自由經濟發展最後的終點是貧富懸殊越來越大,甚至是100倍,是1,000倍,主計長,這樣的自由經濟發展一定要趕快做調整。 |
gazette.blocks[10][0] |
陳主計長淑姿:是。 |
gazette.blocks[11][0] |
羅委員明才:不然社會的動盪、社會的不穩定,馬上就出現。就好比現在物價飆漲、房價高漲,請問主計長,租房子的租屋族大概有多少人? |
gazette.blocks[12][0] |
陳主計長淑姿:差不多300萬。 |
gazette.blocks[13][0] |
羅委員明才:300萬的人,是以年輕人比較多數,就是在租房子,他們認真念書,畢業以後為了在雙北、六都工作就要租房子,主計長,房價有沒有飆漲?最近房價有沒有比較往下掉? |
gazette.blocks[14][0] |
陳主計長淑姿:目前是有。 |
gazette.blocks[15][0] |
羅委員明才:有嘛,有往下掉,那我請問主計長,為什麼房租沒有掉? |
gazette.blocks[16][0] |
陳主計長淑姿:對於房租的部分我再補充說明一下。因為我們統計調查的結果,有需要租屋的需求,我們統計調查數字大概87萬左右,所以我們最近在做一些租屋補貼的政策,這個部分目前大概都是超過60萬以上的補助。 |
gazette.blocks[17][0] |
羅委員明才:對,但是我覺得很奇怪,政府不是說打房已經見效了嗎?成效出現房價開始緩或是跌,所以房租應該要降啊!不然你們要想辦法看有什麼策略,讓300萬的租屋族能夠住得起,能夠生活得起,因為薪資都沒漲啊! |
gazette.blocks[18][0] |
陳主計長淑姿:薪資是有漲,1到9月的薪資,如果扣除通膨實際是成長的。 |
gazette.blocks[19][0] |
羅委員明才:好,你說薪資有漲,漲幾趴? |
gazette.blocks[20][0] |
陳主計長淑姿:這個部分扣除通膨,就是名目有超過2%,實質也百分之一點多。 |
gazette.blocks[21][0] |
羅委員明才:就漲一點多趴不痛不癢,就算漲個你說的2%,所有的民眾感覺是難過的啊! |
gazette.blocks[22][0] |
陳主計長淑姿:就是高過物價。 |
gazette.blocks[23][0] |
羅委員明才:因為薪資漲1%或是2%,抵不過我吃的雞腿便當,抵不過我每天工作中午或晚上吃的排骨便當啊!一個排骨便當以前也才六、七十塊,現在一個排骨便當要多少錢? |
gazette.blocks[24][0] |
陳主計長淑姿:排骨便當的話,火車站附近就是100塊。 |
gazette.blocks[25][0] |
羅委員明才:100塊? |
gazette.blocks[26][0] |
陳主計長淑姿:是,雞腿便當是120塊。 |
gazette.blocks[27][0] |
羅委員明才:本來60塊,漲成100塊,漲40塊耶!主計長,漲幅超過百分之六、七十了耶!薪資成長才2%,跟你講就3%好了,遠遠追不上物價的飆漲。 |
gazette.blocks[28][0] |
陳主計長淑姿:這個是扣除物價的成長。 |
gazette.blocks[29][0] |
羅委員明才:總之,主計長,很多官員來這邊,鐵打的政府、流水的官,流來流去反正我就在這邊待個兩年、三年,時間到就下台鞠躬,可是國家的發展是要永續的啊! |
gazette.blocks[30][0] |
陳主計長淑姿:是。 |
gazette.blocks[31][0] |
羅委員明才:拜託啊,貧富懸殊要怎麼樣縮短它的差距,不是要叫大家貧喔,你們政府就要想方法讓大家全部都富起來,時代在變,政府很多官員的心態一直沒有調整,沒有與時俱進。 |
gazette.blocks[31][1] |
主計長,你有沒有買比特幣? |
gazette.blocks[32][0] |
陳主計長淑姿:沒有。 |
gazette.blocks[33][0] |
羅委員明才:你沒有啊?政府有沒有鼓勵大家買比特幣? |
gazette.blocks[34][0] |
陳主計長淑姿:一般也是不鼓勵啦! |
gazette.blocks[35][0] |
羅委員明才:從頭到尾都反對啊,所以我舉例這個新興的產業,因為政府的阻止,政府的不輔導,讓很多年輕人少掉致富的機會,虛擬貨幣這些交易或這次成長,「老硞硞」都不知道啦,最有機會接觸的就是這些年輕人,政府又全盤的封殺。主計長,如果政府從10年前就開始給予適當的空間、合法合規的輔導,你知道這10年來虛擬貨幣比特幣成長了幾倍? |
gazette.blocks[36][0] |
陳主計長淑姿:因為有高風險、高報酬啦。 |
gazette.blocks[37][0] |
羅委員明才:成長了幾倍?主計長,成長了1萬倍,換言之,10年前你如果讓這些年輕人去接觸,他有機會可以賺到錢,結果你封殺了這些年輕人的機會,造成了過去在整個結構裡面富者恆富、貧者越貧,所以你就不斷的拉開了財富差距。我們希望政府要用新的思維來多想一些辦法,來鼓勵年輕人,讓年輕人活在臺灣是有希望的,讓未來社會的結構不要產生矛盾,要更和諧的,這個才是你們每年編預算的一個重要的宗旨。 |
gazette.blocks[37][1] |
最後再問一個問題,軍公教人員待遇的問題是我最關心的,每一年政府稅收都超徵,今年超徵多少? |
gazette.blocks[38][0] |
陳主計長淑姿:這個部分目前大概應該是三千多億吧! |
gazette.blocks[39][0] |
羅委員明才:三千多億,本席一直主張每一個人發紅包1萬塊,你們已經開始做了嗎? |
gazette.blocks[40][0] |
陳主計長淑姿:這個部分…… |
gazette.blocks[41][0] |
羅委員明才:一個1萬塊,大家都會心存感激,謝謝政府,謝謝主計長,你與其把錢亂亂花,倒不如拿1萬塊讓大家花,放在自己口袋更安心、更安全,而不是每一次你們來立法院拿著五張紙就告訴所有立委台電缺錢要撥補1,000億,要我們趕快通過。不要吧!不要做這個,該做的你要做,稅收超徵就還稅於民啊! |
gazette.blocks[42][0] |
陳主計長淑姿:我們優先來還債。 |
gazette.blocks[43][0] |
羅委員明才:還債可以部分的還,然後你們有一些不該花的,還有一些軍購,買了半天東西也沒到,有的還買了過期的,買了還被中間的掮客A了一筆,那個都很大條。我希望主計長好好思考一下,像台電一直要1,000億,請問台電有沒有做到開源節流?現在核四做不做? |
gazette.blocks[44][0] |
陳主計長淑姿:這個部分我們會請台電來做檢討。 |
gazette.blocks[45][0] |
羅委員明才:現在核四已經停掉了,那核四做不做? |
gazette.blocks[46][0] |
陳主計長淑姿:這個部分也必須要他們來做一些檢討之後…… |
gazette.blocks[47][0] |
羅委員明才:就算做不做,你知道核四廠那個地有多大?已經閒置在那邊多久?不信你問審計長,一些土地閒置在那邊,一些老舊設備又不提升,開源沒做,節流也沒做,唯一想的就是趕快要錢、要錢,對於這樣的心態,我們怎麼願意就隨便讓你們以五張紙的報告就通過讓你們拿1,000億去用?拜託!錢要花在刀口上,省一點用,這是民脂民膏啊,拜託! |
gazette.blocks[48][0] |
陳主計長淑姿:謝謝委員。 |
gazette.blocks[49][0] |
主席:謝謝羅明才委員。 |
gazette.blocks[49][1] |
接著請黃國昌委員質詢。 |
gazette.agenda.page_end |
170 |
gazette.agenda.meet_id |
委員會-11-2-20-10 |
gazette.agenda.speakers[0] |
賴惠員 |
gazette.agenda.speakers[1] |
林德福 |
gazette.agenda.speakers[2] |
吳秉叡 |
gazette.agenda.speakers[3] |
賴士葆 |
gazette.agenda.speakers[4] |
郭國文 |
gazette.agenda.speakers[5] |
顏寬恒 |
gazette.agenda.speakers[6] |
陳玉珍 |
gazette.agenda.speakers[7] |
王鴻薇 |
gazette.agenda.speakers[8] |
李坤城 |
gazette.agenda.speakers[9] |
伍麗華Saidhai‧Tahovecahe |
gazette.agenda.speakers[10] |
王世堅 |
gazette.agenda.speakers[11] |
羅明才 |
gazette.agenda.speakers[12] |
黃國昌 |
gazette.agenda.speakers[13] |
楊瓊瓔 |
gazette.agenda.speakers[14] |
陳培瑜 |
gazette.agenda.speakers[15] |
洪孟楷 |
gazette.agenda.speakers[16] |
葉元之 |
gazette.agenda.speakers[17] |
黃珊珊 |
gazette.agenda.speakers[18] |
李彥秀 |
gazette.agenda.page_start |
1 |
gazette.agenda.meetingDate[0] |
2024-11-28 |
gazette.agenda.gazette_id |
11310702 |
gazette.agenda.agenda_lcidc_ids[0] |
11310702_00002 |
gazette.agenda.meet_name |
立法院第11屆第2會期財政委員會第10次全體委員會議紀錄 |
gazette.agenda.content |
一、邀請行政院主計總處陳主計長淑姿、審計部陳審計長瑞敏率所屬單位主管列席業務報告,並
備質詢;二、審查中華民國114年度中央政府總預算案有關主計總處暨審計部、審計部臺北市審
計處、審計部新北市審計處、審計部桃園市審計處、審計部臺中市審計處、審計部臺南市審計
處、審計部高雄市審計處部分;三、審查中華民國114年度中央政府總預算案有關直轄市及縣市
政府。調整軍公教人員待遇準備。災害準備金。第二預備金 |
gazette.agenda.agenda_id |
11310702_00001 |