IVOD_ID |
159549 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159549 |
日期 |
2025-03-24 |
會議資料.會議代碼 |
委員會-11-3-19-4 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第4次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
4 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第3會期經濟委員會第4次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-24T10:58:59+08:00 |
結束時間 |
2025-03-24T11:05:49+08:00 |
影片長度 |
00:06:50 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/01f072357e67ffc0685b40eb1d3ab12f71db0abd93ed56f1e5f5281f5900dffb0b3b91af4fa2cf135ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
鄭天財Sra Kacaw |
委員發言時間 |
10:58:59 - 11:05:49 |
會議時間 |
2025-03-24T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第4次全體委員會議(事由:審查:
一、行政院函請審議「電業法部分條文修正草案」案。
二、本院委員賴士葆等17人擬具「電業法第七十四條條文修正草案」案。
三、本院委員林岱樺等18人擬具「電業法第六條條文修正草案」案。
四、本院委員楊瓊瓔等20人擬具「電業法第六條條文修正草案」案。
五、本院委員邱議瑩等16人擬具「電業法第六條條文修正草案」案。
六、本院委員邱志偉等20人擬具「電業法部分條文修正草案」案。
七、本院委員鄭正鈐等19人擬具「電業法第七十四條條文修正草案」案。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
8.43471875 |
transcript.pyannote[0].end |
11.38784375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
20.51721875 |
transcript.pyannote[1].end |
22.06971875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
20.58471875 |
transcript.pyannote[2].end |
20.71971875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
22.74471875 |
transcript.pyannote[3].end |
25.39409375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
25.98471875 |
transcript.pyannote[4].end |
27.92534375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
28.09409375 |
transcript.pyannote[5].end |
29.25846875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
29.98409375 |
transcript.pyannote[6].end |
32.70096875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
33.39284375 |
transcript.pyannote[7].end |
34.97909375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
35.72159375 |
transcript.pyannote[8].end |
38.06721875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
38.77596875 |
transcript.pyannote[9].end |
42.94409375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
43.43346875 |
transcript.pyannote[10].end |
47.23034375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
47.53409375 |
transcript.pyannote[11].end |
48.31034375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
48.98534375 |
transcript.pyannote[12].end |
49.84596875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
50.74034375 |
transcript.pyannote[13].end |
55.00971875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
56.03909375 |
transcript.pyannote[14].end |
57.05159375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
58.06409375 |
transcript.pyannote[15].end |
60.29159375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
60.59534375 |
transcript.pyannote[16].end |
62.38409375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
63.00846875 |
transcript.pyannote[17].end |
65.20221875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
65.74221875 |
transcript.pyannote[18].end |
69.03284375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
69.72471875 |
transcript.pyannote[19].end |
73.26846875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
73.94346875 |
transcript.pyannote[20].end |
74.93909375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
75.58034375 |
transcript.pyannote[21].end |
76.12034375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
76.67721875 |
transcript.pyannote[22].end |
79.03971875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
79.74846875 |
transcript.pyannote[23].end |
81.23346875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
81.50346875 |
transcript.pyannote[24].end |
90.93659375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
84.20346875 |
transcript.pyannote[25].end |
84.52409375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
91.67909375 |
transcript.pyannote[26].end |
93.24846875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
94.54784375 |
transcript.pyannote[27].end |
96.67409375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
97.31534375 |
transcript.pyannote[28].end |
98.04096875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
98.74971875 |
transcript.pyannote[29].end |
100.20096875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
103.06971875 |
transcript.pyannote[30].end |
105.31409375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
106.12409375 |
transcript.pyannote[31].end |
106.84971875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
108.19971875 |
transcript.pyannote[32].end |
110.30909375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
110.86596875 |
transcript.pyannote[33].end |
111.62534375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
112.24971875 |
transcript.pyannote[34].end |
114.00471875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
115.08471875 |
transcript.pyannote[35].end |
119.30346875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
120.14721875 |
transcript.pyannote[36].end |
120.85596875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
122.00346875 |
transcript.pyannote[37].end |
123.33659375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
124.82159375 |
transcript.pyannote[38].end |
127.03221875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
127.23471875 |
transcript.pyannote[39].end |
127.85909375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
128.21346875 |
transcript.pyannote[40].end |
129.90096875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
130.62659375 |
transcript.pyannote[41].end |
131.43659375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
131.82471875 |
transcript.pyannote[42].end |
133.17471875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
134.35596875 |
transcript.pyannote[43].end |
134.91284375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
135.46971875 |
transcript.pyannote[44].end |
137.20784375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
138.03471875 |
transcript.pyannote[45].end |
138.37221875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
138.99659375 |
transcript.pyannote[46].end |
139.63784375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
139.87409375 |
transcript.pyannote[47].end |
141.42659375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
142.28721875 |
transcript.pyannote[48].end |
143.29971875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
143.50221875 |
transcript.pyannote[49].end |
144.19409375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
144.98721875 |
transcript.pyannote[50].end |
145.93221875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
145.98284375 |
transcript.pyannote[51].end |
147.19784375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
148.05846875 |
transcript.pyannote[52].end |
150.79221875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
151.51784375 |
transcript.pyannote[53].end |
152.53034375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
153.23909375 |
transcript.pyannote[54].end |
154.52159375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
155.48346875 |
transcript.pyannote[55].end |
157.67721875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
158.72346875 |
transcript.pyannote[56].end |
159.49971875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
160.02284375 |
transcript.pyannote[57].end |
161.22096875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
162.31784375 |
transcript.pyannote[58].end |
165.50721875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
166.31721875 |
transcript.pyannote[59].end |
168.19034375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
169.55721875 |
transcript.pyannote[60].end |
170.16471875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
170.50221875 |
transcript.pyannote[61].end |
171.78471875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
172.78034375 |
transcript.pyannote[62].end |
173.67471875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
174.45096875 |
transcript.pyannote[63].end |
176.17221875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
177.15096875 |
transcript.pyannote[64].end |
178.21409375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
179.15909375 |
transcript.pyannote[65].end |
180.54284375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
180.94784375 |
transcript.pyannote[66].end |
181.90971875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
182.41596875 |
transcript.pyannote[67].end |
184.03596875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
184.82909375 |
transcript.pyannote[68].end |
186.65159375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
187.64721875 |
transcript.pyannote[69].end |
189.50346875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
190.16159375 |
transcript.pyannote[70].end |
192.67596875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
193.38471875 |
transcript.pyannote[71].end |
194.41409375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
195.74721875 |
transcript.pyannote[72].end |
199.71284375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
200.47221875 |
transcript.pyannote[73].end |
203.66159375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
203.71221875 |
transcript.pyannote[74].end |
205.41659375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
206.05784375 |
transcript.pyannote[75].end |
206.53034375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
208.26846875 |
transcript.pyannote[76].end |
209.48346875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
210.20909375 |
transcript.pyannote[77].end |
211.03596875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
211.59284375 |
transcript.pyannote[78].end |
213.70221875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
214.27596875 |
transcript.pyannote[79].end |
215.32221875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
216.04784375 |
transcript.pyannote[80].end |
217.70159375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
218.78159375 |
transcript.pyannote[81].end |
219.16971875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
219.60846875 |
transcript.pyannote[82].end |
221.70096875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
222.24096875 |
transcript.pyannote[83].end |
222.79784375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
222.91596875 |
transcript.pyannote[84].end |
223.65846875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
224.56971875 |
transcript.pyannote[85].end |
225.29534375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
225.90284375 |
transcript.pyannote[86].end |
226.18971875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
226.44284375 |
transcript.pyannote[87].end |
227.43846875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
228.06284375 |
transcript.pyannote[88].end |
234.47534375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
234.84659375 |
transcript.pyannote[89].end |
241.76534375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
242.40659375 |
transcript.pyannote[90].end |
242.81159375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
244.02659375 |
transcript.pyannote[91].end |
246.03471875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
246.22034375 |
transcript.pyannote[92].end |
246.72659375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
247.55346875 |
transcript.pyannote[93].end |
248.80221875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
249.93284375 |
transcript.pyannote[94].end |
252.12659375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
252.97034375 |
transcript.pyannote[95].end |
254.33721875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
254.82659375 |
transcript.pyannote[96].end |
255.41721875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
255.80534375 |
transcript.pyannote[97].end |
256.96971875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
257.47596875 |
transcript.pyannote[98].end |
258.21846875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
258.26909375 |
transcript.pyannote[99].end |
260.10846875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
260.44596875 |
transcript.pyannote[100].end |
261.57659375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
261.91409375 |
transcript.pyannote[101].end |
263.02784375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
265.47471875 |
transcript.pyannote[102].end |
266.80784375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
267.01034375 |
transcript.pyannote[103].end |
270.92534375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
271.75221875 |
transcript.pyannote[104].end |
272.91659375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
273.55784375 |
transcript.pyannote[105].end |
276.39284375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
276.64596875 |
transcript.pyannote[106].end |
277.25346875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
277.67534375 |
transcript.pyannote[107].end |
278.36721875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
278.97471875 |
transcript.pyannote[108].end |
281.47221875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
282.73784375 |
transcript.pyannote[109].end |
284.77971875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
285.37034375 |
transcript.pyannote[110].end |
287.02409375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
287.41221875 |
transcript.pyannote[111].end |
288.42471875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
289.69034375 |
transcript.pyannote[112].end |
291.24284375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
291.73221875 |
transcript.pyannote[113].end |
294.09471875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
294.36471875 |
transcript.pyannote[114].end |
296.40659375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
297.45284375 |
transcript.pyannote[115].end |
298.98846875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
299.93346875 |
transcript.pyannote[116].end |
300.79409375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
301.55346875 |
transcript.pyannote[117].end |
303.51096875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
304.33784375 |
transcript.pyannote[118].end |
305.06346875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
306.10971875 |
transcript.pyannote[119].end |
306.37971875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
306.81846875 |
transcript.pyannote[120].end |
307.61159375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
308.65784375 |
transcript.pyannote[121].end |
308.91096875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
309.19784375 |
transcript.pyannote[122].end |
310.05846875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
310.29471875 |
transcript.pyannote[123].end |
313.65284375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
315.91409375 |
transcript.pyannote[124].end |
323.82846875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
324.46971875 |
transcript.pyannote[125].end |
325.02659375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
325.61721875 |
transcript.pyannote[126].end |
325.87034375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
326.42721875 |
transcript.pyannote[127].end |
327.89534375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
328.97534375 |
transcript.pyannote[128].end |
329.90346875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
331.74284375 |
transcript.pyannote[129].end |
334.62846875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
335.28659375 |
transcript.pyannote[130].end |
337.56471875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
337.85159375 |
transcript.pyannote[131].end |
338.66159375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
338.94846875 |
transcript.pyannote[132].end |
339.77534375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
340.63596875 |
transcript.pyannote[133].end |
340.97346875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
342.27284375 |
transcript.pyannote[134].end |
343.55534375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
344.46659375 |
transcript.pyannote[135].end |
345.29346875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
345.96846875 |
transcript.pyannote[136].end |
348.02721875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
349.44471875 |
transcript.pyannote[137].end |
352.02659375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
353.02221875 |
transcript.pyannote[138].end |
357.22409375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
357.96659375 |
transcript.pyannote[139].end |
363.40034375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
364.10909375 |
transcript.pyannote[140].end |
368.53034375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
368.80034375 |
transcript.pyannote[141].end |
369.88034375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
370.74096875 |
transcript.pyannote[142].end |
371.41596875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
371.73659375 |
transcript.pyannote[143].end |
373.01909375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
374.87534375 |
transcript.pyannote[144].end |
375.33096875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
375.46596875 |
transcript.pyannote[145].end |
378.04784375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
378.65534375 |
transcript.pyannote[146].end |
379.54971875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
380.84909375 |
transcript.pyannote[147].end |
382.60409375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
383.38034375 |
transcript.pyannote[148].end |
383.73471875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
383.85284375 |
transcript.pyannote[149].end |
385.13534375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
385.37159375 |
transcript.pyannote[150].end |
386.51909375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
387.17721875 |
transcript.pyannote[151].end |
389.40471875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
390.18096875 |
transcript.pyannote[152].end |
393.64034375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
393.67409375 |
transcript.pyannote[153].end |
398.19659375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
398.26409375 |
transcript.pyannote[154].end |
399.02346875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
399.54659375 |
transcript.pyannote[155].end |
400.50846875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
401.01471875 |
transcript.pyannote[156].end |
403.44471875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
403.71471875 |
transcript.pyannote[157].end |
404.38971875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
405.04784375 |
transcript.pyannote[158].end |
408.64221875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
410.02596875 |
transcript.pyannote[159].end |
410.07659375 |
transcript.whisperx[0].start |
8.659 |
transcript.whisperx[0].end |
33.451 |
transcript.whisperx[0].text |
主席 各位委員 有請部長請部長您好 部長好這個大家還是非常關心這個電價這個調漲的部分那上次也跟部長提到了這個我們電費漲價 |
transcript.whisperx[1].start |
36.145 |
transcript.whisperx[1].end |
39.529 |
transcript.whisperx[1].text |
這個除了在20152015的4月10月還有2016的4月曾經降過降價 電費降價一直到2022年開始連續上漲了連續上漲連續上漲 |
transcript.whisperx[2].start |
58.303 |
transcript.whisperx[2].end |
63.547 |
transcript.whisperx[2].text |
雖然政府以人民的納稅錢分別在2023年對台電增資1500億,2023年特別預算補貼500億,2024年再增資1000億,總共3000億,但是台電調帳還是調帳, |
transcript.whisperx[3].start |
80.954 |
transcript.whisperx[3].end |
105.044 |
transcript.whisperx[3].text |
從2022年這個2023、2024到今年的2024的10月今年就2027年就兩次所以這樣的一個情形這個就是上次我一再的來講如果我們看這個台電公司近10年這個 |
transcript.whisperx[4].start |
108.477 |
transcript.whisperx[4].end |
128.189 |
transcript.whisperx[4].text |
雲宇的部分從103年都賺錢到110年總共加起來就是2332億這個賺的錢如果再加上政府人民的納稅錢以了撥補給台電的3000億總共就有5300多億然後從111年度 |
transcript.whisperx[5].start |
139.047 |
transcript.whisperx[5].end |
165.386 |
transcript.whisperx[5].text |
开始严重的亏损这里面有提到有提到俄乌战争大家不能否认俄乌战争是其中之一而事实上很大的因素很大的因素就是能源政策上次跟部长提到这个总统府气候变迁委员会副召集人 |
transcript.whisperx[6].start |
166.323 |
transcript.whisperx[6].end |
194.099 |
transcript.whisperx[6].text |
合授董事長童子賢在這個教育文化委員會特別提到核電可以年省N個千億這個N個千億其實是如果按照他的計算是15個千億按照童子賢的計算最多可以到15個千億所以這是一個 |
transcript.whisperx[7].start |
195.782 |
transcript.whisperx[7].end |
223.145 |
transcript.whisperx[7].text |
政策也有很大的因素所以這個部分如果我一再講可能我不知道我一直還沒有你們也沒有提供數字給我就是說因為我們的政策好 綠電能源署編了很多經費經濟部編了很多經費對不對協助這些綠電對不對然後台電又比較高的金額去買 |
transcript.whisperx[8].start |
226.603 |
transcript.whisperx[8].end |
245.91 |
transcript.whisperx[8].text |
所以這個部分部長如果你搖頭你把數字提供給我因為我已經從你第一次不只是你們還有能源署包括如果你從我第一次的質詢來講對不對我常說你是這個產業進來的我們光看那個核四對不對 |
transcript.whisperx[9].start |
253.015 |
transcript.whisperx[9].end |
280.81 |
transcript.whisperx[9].text |
可是花了多少個億然後就擺在那邊根本就不符合那個嘛好重點齁重點時間的關係了齁電價審議委會預計28日前登場之前28日之前所以這個部分啊當然部長一直說我沒有參與我沒有主持沒有錯但是很多的資料很多的資訊 |
transcript.whisperx[10].start |
282.776 |
transcript.whisperx[10].end |
307.252 |
transcript.whisperx[10].text |
必須要由台電必須要由經濟部提供給電價審議委員會讓所有的委員能夠了解而這個資訊而這個資料就會很重要會很重要所以這個到底要不要漲其實可以不漲 |
transcript.whisperx[11].start |
309.269 |
transcript.whisperx[11].end |
338.448 |
transcript.whisperx[11].text |
所以很多的 也許這個經濟部說我們核能政策我們賴總統不會隨隨便便找個何同志賢去當那個總統府的委員 副...副...副...對不對 一定是有他的找你也是總統請你當部長 一定也有他的考量是希望要你勇敢的這個政策 |
transcript.whisperx[12].start |
339.148 |
transcript.whisperx[12].end |
367.011 |
transcript.whisperx[12].text |
來去推動好我們先提供一個從法例法例有明定的我們先從法例離島建設條例第14條規定離島用水用電比照台灣本島平均費力收集其營運單位應該向費力收費制產生之合理虧損由中央目的事業主管機關審核後編列預算 |
transcript.whisperx[13].start |
370.875 |
transcript.whisperx[13].end |
389.183 |
transcript.whisperx[13].text |
撥補資所以法律有明定的我們由台電這幾年都是台電去吸收那政府應該編的預算對1000多億的預算都沒有編所以我們先從法律有的 |
transcript.whisperx[14].start |
390.239 |
transcript.whisperx[14].end |
407.59 |
transcript.whisperx[14].text |
先做 可以嗎 部長好 我們當然依法遵法就有法律有的我們來做對 這個沒有做的 要做是有了這個 誰都不能擋啊對不對 法律明定的趕快編預算追加預算嘛 可以辦追加預算謝謝以上 謝謝 |