IVOD_ID |
159660 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159660 |
日期 |
2025-03-27 |
會議資料.會議代碼 |
委員會-11-3-19-5 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第5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 |
5 |
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5次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-27T09:41:21+08:00 |
結束時間 |
2025-03-27T09:51:17+08:00 |
影片長度 |
00:09:56 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ae27c1b40c0db900ec8262bddcabb66a1e62e9fce1db2a03ab2aca70ba98bac02100f0c7800c801b5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
張啓楷 |
委員發言時間 |
09:41:21 - 09:51:17 |
會議時間 |
2025-03-27T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第5次全體委員會議(事由:邀請國家發展委員會主任委員、農業部部長、內政部首長、財政部首長、行政院主計總處首長就「鄉村發展總體檢討及如何提升城鄉發展韌性之規劃方向」進行報告,並備質詢。【3月26日及27日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
15.11721875 |
transcript.pyannote[0].end |
18.30659375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
19.55534375 |
transcript.pyannote[1].end |
24.07784375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
28.19534375 |
transcript.pyannote[2].end |
31.30034375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
31.82346875 |
transcript.pyannote[3].end |
38.75909375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
38.89409375 |
transcript.pyannote[4].end |
43.33221875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
43.61909375 |
transcript.pyannote[5].end |
84.35534375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
61.67534375 |
transcript.pyannote[6].end |
61.96221875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
70.21409375 |
transcript.pyannote[7].end |
70.26471875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
70.41659375 |
transcript.pyannote[8].end |
70.51784375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
77.40284375 |
transcript.pyannote[9].end |
77.70659375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
84.99659375 |
transcript.pyannote[10].end |
91.93221875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
91.96596875 |
transcript.pyannote[11].end |
104.75721875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
101.68596875 |
transcript.pyannote[12].end |
102.14159375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
103.06971875 |
transcript.pyannote[13].end |
104.63909375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
104.82471875 |
transcript.pyannote[14].end |
121.44659375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
104.95971875 |
transcript.pyannote[15].end |
106.52909375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
106.64721875 |
transcript.pyannote[16].end |
107.67659375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
108.84096875 |
transcript.pyannote[17].end |
109.12784375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
112.13159375 |
transcript.pyannote[18].end |
112.53659375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
113.48159375 |
transcript.pyannote[19].end |
114.24096875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
115.64159375 |
transcript.pyannote[20].end |
116.51909375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
117.14346875 |
transcript.pyannote[21].end |
117.63284375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
118.15596875 |
transcript.pyannote[22].end |
121.19346875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
122.32409375 |
transcript.pyannote[23].end |
123.30284375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
123.67409375 |
transcript.pyannote[24].end |
123.80909375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
124.45034375 |
transcript.pyannote[25].end |
124.93971875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
124.93971875 |
transcript.pyannote[26].end |
126.74534375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
124.99034375 |
transcript.pyannote[27].end |
125.51346875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
127.15034375 |
transcript.pyannote[28].end |
128.80409375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
129.49596875 |
transcript.pyannote[29].end |
133.22534375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
133.74846875 |
transcript.pyannote[30].end |
135.50346875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
135.84096875 |
transcript.pyannote[31].end |
138.84471875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
139.78971875 |
transcript.pyannote[32].end |
141.78096875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
142.75971875 |
transcript.pyannote[33].end |
144.68346875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
144.88596875 |
transcript.pyannote[34].end |
146.43846875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
146.84346875 |
transcript.pyannote[35].end |
149.13846875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
149.83034375 |
transcript.pyannote[36].end |
151.77096875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
152.07471875 |
transcript.pyannote[37].end |
154.15034375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
154.77471875 |
transcript.pyannote[38].end |
155.98971875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
156.88409375 |
transcript.pyannote[39].end |
159.49971875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
159.97221875 |
transcript.pyannote[40].end |
161.54159375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
162.28409375 |
transcript.pyannote[41].end |
163.48221875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
164.39346875 |
transcript.pyannote[42].end |
168.62909375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
169.59096875 |
transcript.pyannote[43].end |
170.99159375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
172.17284375 |
transcript.pyannote[44].end |
173.97846875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
174.41721875 |
transcript.pyannote[45].end |
175.69971875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
176.23971875 |
transcript.pyannote[46].end |
176.57721875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
177.18471875 |
transcript.pyannote[47].end |
179.34471875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
179.64846875 |
transcript.pyannote[48].end |
184.05284375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
184.45784375 |
transcript.pyannote[49].end |
184.98096875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
185.60534375 |
transcript.pyannote[50].end |
186.71909375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
187.02284375 |
transcript.pyannote[51].end |
187.71471875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
187.98471875 |
transcript.pyannote[52].end |
189.90846875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
190.17846875 |
transcript.pyannote[53].end |
192.38909375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
192.87846875 |
transcript.pyannote[54].end |
195.30846875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
195.59534375 |
transcript.pyannote[55].end |
197.40096875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
197.73846875 |
transcript.pyannote[56].end |
198.95346875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
200.57346875 |
transcript.pyannote[57].end |
200.59034375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
200.59034375 |
transcript.pyannote[58].end |
201.31596875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
201.58596875 |
transcript.pyannote[59].end |
202.39596875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
204.10034375 |
transcript.pyannote[60].end |
211.79534375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
210.83346875 |
transcript.pyannote[61].end |
212.97659375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
213.48284375 |
transcript.pyannote[62].end |
215.65971875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
215.91284375 |
transcript.pyannote[63].end |
216.53721875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
216.53721875 |
transcript.pyannote[64].end |
218.35971875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
218.56221875 |
transcript.pyannote[65].end |
220.21596875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
220.63784375 |
transcript.pyannote[66].end |
228.65346875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
230.30721875 |
transcript.pyannote[67].end |
231.10034375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
232.21409375 |
transcript.pyannote[68].end |
235.82534375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
236.01096875 |
transcript.pyannote[69].end |
237.61409375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
238.01909375 |
transcript.pyannote[70].end |
242.38971875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
242.81159375 |
transcript.pyannote[71].end |
242.82846875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
242.82846875 |
transcript.pyannote[72].end |
244.88721875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
242.87909375 |
transcript.pyannote[73].end |
245.39346875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
245.46096875 |
transcript.pyannote[74].end |
246.38909375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
246.96284375 |
transcript.pyannote[75].end |
247.58721875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
248.58284375 |
transcript.pyannote[76].end |
250.05096875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
250.57409375 |
transcript.pyannote[77].end |
255.51846875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
256.04159375 |
transcript.pyannote[78].end |
257.84721875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
258.53909375 |
transcript.pyannote[79].end |
261.28971875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
261.66096875 |
transcript.pyannote[80].end |
263.87159375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
264.25971875 |
transcript.pyannote[81].end |
264.96846875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
265.35659375 |
transcript.pyannote[82].end |
268.52909375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
268.90034375 |
transcript.pyannote[83].end |
269.74409375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
270.33471875 |
transcript.pyannote[84].end |
273.84471875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
274.08096875 |
transcript.pyannote[85].end |
275.05971875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
275.41409375 |
transcript.pyannote[86].end |
281.23596875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
281.65784375 |
transcript.pyannote[87].end |
285.23534375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
285.84284375 |
transcript.pyannote[88].end |
286.73721875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
287.56409375 |
transcript.pyannote[89].end |
288.96471875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
290.28096875 |
transcript.pyannote[90].end |
292.22159375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
292.57596875 |
transcript.pyannote[91].end |
293.75721875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
293.84159375 |
transcript.pyannote[92].end |
295.44471875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
296.20409375 |
transcript.pyannote[93].end |
299.46096875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
300.72659375 |
transcript.pyannote[94].end |
301.48596875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
302.48159375 |
transcript.pyannote[95].end |
304.62471875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
305.14784375 |
transcript.pyannote[96].end |
306.00846875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
306.32909375 |
transcript.pyannote[97].end |
311.07096875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
311.54346875 |
transcript.pyannote[98].end |
316.16721875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
312.77534375 |
transcript.pyannote[99].end |
314.37846875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
316.36971875 |
transcript.pyannote[100].end |
316.67346875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
317.48346875 |
transcript.pyannote[101].end |
318.29346875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
318.85034375 |
transcript.pyannote[102].end |
319.82909375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
320.31846875 |
transcript.pyannote[103].end |
321.33096875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
322.30971875 |
transcript.pyannote[104].end |
324.77346875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
324.80721875 |
transcript.pyannote[105].end |
325.90409375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
326.19096875 |
transcript.pyannote[106].end |
327.64221875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
328.03034375 |
transcript.pyannote[107].end |
329.63346875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
330.00471875 |
transcript.pyannote[108].end |
333.66659375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
334.20659375 |
transcript.pyannote[109].end |
334.86471875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
336.33284375 |
transcript.pyannote[110].end |
337.14284375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
337.34534375 |
transcript.pyannote[111].end |
338.05409375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
338.18909375 |
transcript.pyannote[112].end |
340.19721875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
342.05346875 |
transcript.pyannote[113].end |
342.89721875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
343.72409375 |
transcript.pyannote[114].end |
346.96409375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
347.72346875 |
transcript.pyannote[115].end |
348.44909375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
349.00596875 |
transcript.pyannote[116].end |
354.20346875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
354.89534375 |
transcript.pyannote[117].end |
358.03409375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
358.30409375 |
transcript.pyannote[118].end |
359.40096875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
359.77221875 |
transcript.pyannote[119].end |
367.01159375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
367.46721875 |
transcript.pyannote[120].end |
367.99034375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
368.91846875 |
transcript.pyannote[121].end |
369.89721875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
370.96034375 |
transcript.pyannote[122].end |
372.83346875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
373.20471875 |
transcript.pyannote[123].end |
373.79534375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
374.30159375 |
transcript.pyannote[124].end |
376.27596875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
376.59659375 |
transcript.pyannote[125].end |
377.44034375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
377.74409375 |
transcript.pyannote[126].end |
379.04346875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
379.51596875 |
transcript.pyannote[127].end |
381.11909375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
381.69284375 |
transcript.pyannote[128].end |
382.48596875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
383.26221875 |
transcript.pyannote[129].end |
385.96221875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
386.55284375 |
transcript.pyannote[130].end |
388.35846875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
389.21909375 |
transcript.pyannote[131].end |
390.46784375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
391.37909375 |
transcript.pyannote[132].end |
393.04971875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
393.65721875 |
transcript.pyannote[133].end |
397.60596875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
397.94346875 |
transcript.pyannote[134].end |
400.87971875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
401.52096875 |
transcript.pyannote[135].end |
402.36471875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
403.59659375 |
transcript.pyannote[136].end |
404.44034375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
405.85784375 |
transcript.pyannote[137].end |
407.14034375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
408.15284375 |
transcript.pyannote[138].end |
408.77721875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
409.03034375 |
transcript.pyannote[139].end |
412.38846875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
413.35034375 |
transcript.pyannote[140].end |
414.12659375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
414.63284375 |
transcript.pyannote[141].end |
416.99534375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
417.67034375 |
transcript.pyannote[142].end |
419.47596875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
419.98221875 |
transcript.pyannote[143].end |
423.35721875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
424.21784375 |
transcript.pyannote[144].end |
426.31034375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
427.10346875 |
transcript.pyannote[145].end |
429.93846875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
430.76534375 |
transcript.pyannote[146].end |
431.96346875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
432.46971875 |
transcript.pyannote[147].end |
434.25846875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
434.44409375 |
transcript.pyannote[148].end |
435.64221875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
436.73909375 |
transcript.pyannote[149].end |
438.02159375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
438.32534375 |
transcript.pyannote[150].end |
441.43034375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
441.80159375 |
transcript.pyannote[151].end |
443.16846875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
443.97846875 |
transcript.pyannote[152].end |
445.44659375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
445.78409375 |
transcript.pyannote[153].end |
450.34034375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
450.77909375 |
transcript.pyannote[154].end |
452.90534375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
455.68971875 |
transcript.pyannote[155].end |
459.75659375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
460.48221875 |
transcript.pyannote[156].end |
462.91221875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
463.68846875 |
transcript.pyannote[157].end |
465.07221875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
465.66284375 |
transcript.pyannote[158].end |
466.79346875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
467.11409375 |
transcript.pyannote[159].end |
471.55221875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
472.56471875 |
transcript.pyannote[160].end |
473.89784375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
474.62346875 |
transcript.pyannote[161].end |
481.44096875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
481.55909375 |
transcript.pyannote[162].end |
483.02721875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
483.76971875 |
transcript.pyannote[163].end |
485.10284375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
485.67659375 |
transcript.pyannote[164].end |
486.89159375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
487.12784375 |
transcript.pyannote[165].end |
488.15721875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
489.37221875 |
transcript.pyannote[166].end |
489.77721875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
489.96284375 |
transcript.pyannote[167].end |
490.28346875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
490.43534375 |
transcript.pyannote[168].end |
491.88659375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
491.88659375 |
transcript.pyannote[169].end |
492.30846875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
492.30846875 |
transcript.pyannote[170].end |
494.43471875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
494.53596875 |
transcript.pyannote[171].end |
495.49784375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
496.00409375 |
transcript.pyannote[172].end |
497.60721875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
498.48471875 |
transcript.pyannote[173].end |
501.16784375 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
501.70784375 |
transcript.pyannote[174].end |
503.05784375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
503.49659375 |
transcript.pyannote[175].end |
505.38659375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
505.97721875 |
transcript.pyannote[176].end |
507.10784375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
508.32284375 |
transcript.pyannote[177].end |
511.00596875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
511.68096875 |
transcript.pyannote[178].end |
512.45721875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
512.59221875 |
transcript.pyannote[179].end |
513.72284375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
513.89159375 |
transcript.pyannote[180].end |
514.38096875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
514.16159375 |
transcript.pyannote[181].end |
525.70409375 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
519.69659375 |
transcript.pyannote[182].end |
520.10159375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
525.92346875 |
transcript.pyannote[183].end |
529.12971875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
529.97346875 |
transcript.pyannote[184].end |
531.59346875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
531.76221875 |
transcript.pyannote[185].end |
535.37346875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
536.25096875 |
transcript.pyannote[186].end |
537.61784375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
538.07346875 |
transcript.pyannote[187].end |
539.49096875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
540.67221875 |
transcript.pyannote[188].end |
541.19534375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
542.02221875 |
transcript.pyannote[189].end |
543.05159375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
543.84471875 |
transcript.pyannote[190].end |
547.48971875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
547.99596875 |
transcript.pyannote[191].end |
548.62034375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
548.73846875 |
transcript.pyannote[192].end |
551.60721875 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
551.96159375 |
transcript.pyannote[193].end |
554.27346875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
554.71221875 |
transcript.pyannote[194].end |
555.89346875 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
556.85534375 |
transcript.pyannote[195].end |
559.94346875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
560.43284375 |
transcript.pyannote[196].end |
560.83784375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
561.24284375 |
transcript.pyannote[197].end |
564.34784375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
564.39846875 |
transcript.pyannote[198].end |
566.35596875 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
567.25034375 |
transcript.pyannote[199].end |
569.14034375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
569.88284375 |
transcript.pyannote[200].end |
572.09346875 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
572.53221875 |
transcript.pyannote[201].end |
577.24034375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
577.62846875 |
transcript.pyannote[202].end |
582.79221875 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
583.18034375 |
transcript.pyannote[203].end |
586.70721875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
585.39096875 |
transcript.pyannote[204].end |
585.96471875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
586.70721875 |
transcript.pyannote[205].end |
587.14596875 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
587.07846875 |
transcript.pyannote[206].end |
587.38221875 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
587.63534375 |
transcript.pyannote[207].end |
596.47784375 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
593.84534375 |
transcript.pyannote[208].end |
595.16159375 |
transcript.whisperx[0].start |
15.829 |
transcript.whisperx[0].end |
23.923 |
transcript.whisperx[0].text |
請農業部的這個胡宗義副次長叫國發會彭副主委來請好請胡次長跟我們彭副主委 |
transcript.whisperx[1].start |
28.463 |
transcript.whisperx[1].end |
50.922 |
transcript.whisperx[1].text |
胡市長嘛是 委員好以前是農糧署的署長國內這個農糧跟公糧應該是重重競爬啦是所以我今天利用這個時間你今天剛好來因為立法院這個第一會期就通過了這個公糧收購所以我們今天要調高五塊錢嘛大家都很努力這個第一個是立法院通過的第二個經過跟行政院長行政院的這個協商 |
transcript.whisperx[2].start |
52.563 |
transcript.whisperx[2].end |
76.98 |
transcript.whisperx[2].text |
那部長 包括部長都有說要這個完整的配套要好好再推動嘛那目前只調高了三分之一就是一塊八左右本來是三塊嘛那顯然分階段還要再去調整那我請你要前提去促成這個事情好不好所以我們現在很緊張啦一級二轉三加三很緊張不斷答應外地說他最近會安排例如說我們下鄉去傾聽這個農民的聲音嘛這個我們要趕快做 |
transcript.whisperx[3].start |
79.482 |
transcript.whisperx[3].end |
103.557 |
transcript.whisperx[3].text |
好 因為我們這個上個會期有動了今年度的業務費30%我本來認為說你們跳票只做了三分之一嘛因為立法院過的是一公斤五塊錢我們現在只調了1.82嘛那本來是要刪減你們的業務費的後來經過大家草野協商包括玉嶼他們都有進來一起協商所以沒有刪減可是凍結了30%那就要趕快去解決這個問題我們會尊重 |
transcript.whisperx[4].start |
105.378 |
transcript.whisperx[4].end |
119.743 |
transcript.whisperx[4].text |
照顧好我們的農民啦一方面你是農糧的專業你對這個事情最了解一方面是我們要好好去照顧我們的農民好不好是是沒問題沒問題當然當然這事情就滿你好不好盡快去達到每公斤調高五塊錢這個目標好不好我們會全力來做的好謝謝市長謝謝來副市委是委員長來看一下你們這個網頁啊國發會定名 |
transcript.whisperx[5].start |
129.654 |
transcript.whisperx[5].end |
153.563 |
transcript.whisperx[5].text |
國外的網友說你們在促進產業發展上面你們去協調推動能源政策跟相關的計畫結果現在發現你們去協調完之後我們的能源結構還是出了一堆問題過幾天就要漲電價了漲電價對產業也會有很大的衝擊不只民生啊對整個產業也會有很大的衝擊啊我現在要問幾個很重要的問題經過你們協調 |
transcript.whisperx[6].start |
156.963 |
transcript.whisperx[6].end |
169.761 |
transcript.whisperx[6].text |
再生能源有沒有達到你們國發會本來預定的這個目標你看一下喔 總統府本來在108年的時候總統府說再生能源在2025年的今年就要達到20% |
transcript.whisperx[7].start |
172.213 |
transcript.whisperx[7].end |
193.837 |
transcript.whisperx[7].text |
不只跳票 跳得太離譜了現在大概只到12%嘛 對不對這是一個 國發會你說這個2050年要達到60到70%看起來這個目標看起來也不容易特別是我們用最近的來檢驗你說2030年就要到30%2035年要達到再生能源36%你覺得你們國家檢探新目標這再生能源有辦法達到嗎 |
transcript.whisperx[8].start |
200.632 |
transcript.whisperx[8].end |
226.407 |
transcript.whisperx[8].text |
跟委員報告現在2025年再生能源佔比是百分之二十啦那目標是什麼是延後到2026年才會搭配再生能源夠不夠今天通信的12%而已啦12%啊你們總統府本來說要20%已經跳票了嘛那現在延到說要往後一年可是明年度總統府說明年才會搞可是看起來是跳票啊你們國發會訂的是2030年要30老實講 |
transcript.whisperx[9].start |
230.479 |
transcript.whisperx[9].end |
241.486 |
transcript.whisperx[9].text |
難度很高啦我今天的質疑點就是說你國家發展很重要 你是領頭羊啊你訂目標要確而實際 對不對這確而實際嘛 如果訂完之後就一定要去達成 好不好來來來 我跟你講更嚴重的來不只達不到 你來看一下 |
transcript.whisperx[10].start |
248.629 |
transcript.whisperx[10].end |
264.639 |
transcript.whisperx[10].text |
童子賢啊 童子賢是國家氣候變遷對策委員會副召集人 召集人就是賴總統啦童子賢是副召集人 他怎麼說他說20 現在 現在如果他用前年2023年的這個用電來算我們全國用了2821億度的這個電 |
transcript.whisperx[11].start |
270.362 |
transcript.whisperx[11].end |
295.196 |
transcript.whisperx[11].text |
他說這個電如果全部都是向你們推再生能源用光電板去算會很恐怖耶這影響到我們全台灣人的生活空間他說如果全部用太陽能來發這個國家要用的電要需要10.5個台北市的這個面積就像台灣啊全部的面積有8%台灣有高山嘛對不對可以用的大部分比較精華都是平原嘛平原的30%三層全部都鋪蓋這個光電板 |
transcript.whisperx[12].start |
300.762 |
transcript.whisperx[12].end |
320.396 |
transcript.whisperx[12].text |
太陽光電板不可能嘛那這樣的話台灣就活不下去啦生活空間啊所以顯然在推動這個你說你不要去協調這個國家的這個能源的時候這個要非常注意好不好好謝謝他影響到生命的這個健康喔是生命的健康我先給大家看一個2019年啊 |
transcript.whisperx[13].start |
322.649 |
transcript.whisperx[13].end |
334.859 |
transcript.whisperx[13].text |
國際大型的公衛研究發現 他說什麼你如果是燒煤 燒煤這個煤增加1000瓦男性罹癌的這個比例就會增加59%女性更高 85%他們還進一步推估說2025年全球的這幾年 |
transcript.whisperx[14].start |
347.799 |
transcript.whisperx[14].end |
367.746 |
transcript.whisperx[14].text |
全世界有137萬個標準化的肺癌這個病例跟燃煤都是有關的那你們應該有責任你們定了目標而且你們要推再生能源結果煤越燒越大你看今年的發展是什麼把河山廠的一號機停掉馬上又要停二號機了以後就非核加鹽了低碳 |
transcript.whisperx[15].start |
370.984 |
transcript.whisperx[15].end |
373.265 |
transcript.whisperx[15].text |
核能沒有啦 零喔 增價是什麼? |
transcript.whisperx[16].start |
373.265 |
transcript.whisperx[16].end |
386.61 |
transcript.whisperx[16].text |
九年啊 賣掉 我們現在買電本來是已經停了對不對?結果又延長 你看分年 假期 中華台中那些人多可憐這個我希望國泡會要好好注意喔另外 還影響到什麼? |
transcript.whisperx[17].start |
386.61 |
transcript.whisperx[17].end |
390.272 |
transcript.whisperx[17].text |
很多國人的生活的支出面 過去三年漲四次 |
transcript.whisperx[18].start |
391.494 |
transcript.whisperx[18].end |
406.882 |
transcript.whisperx[18].text |
世界一樣愚人節又要這樣第五次這個人民生活受到影響企業也受到影響好第四個台電的財務面我今天給大家看一個很重要的財報這是第一次出現的財報台電一月份啊 |
transcript.whisperx[19].start |
409.629 |
transcript.whisperx[19].end |
426.223 |
transcript.whisperx[19].text |
虧損累累 光是1月份就虧損了97億有夠恐怖的喔台電以前是金雞模 他以前每年都可以剩餘兩三百億還給我們國庫了現在光是一個1月份 虧損了97億大家看一下 核能幫他賺了8億他雖然虧97億 核能還是幫他賺錢的喔 |
transcript.whisperx[20].start |
430.994 |
transcript.whisperx[20].end |
451.57 |
transcript.whisperx[20].text |
結果在最近5月17號核能要停掉那虧損不是更大嗎另外一個恐怖的數據你看風電喔1月份我們買風電都是可以買的太貴就虧損了56億天然氣虧了13另外除了自己台電自己的虧損用天然氣虧損13億之外外購的去外面買的又虧15億這個洞補不了啦不只是撥補1000億2000億 |
transcript.whisperx[21].start |
460.709 |
transcript.whisperx[21].end |
487.528 |
transcript.whisperx[21].text |
這個無底洞補不了你在漲電價一直漲也沒辦法解決問題嘛這個是多嚴重的一個問題這是第一次我給大家看的這是台電自己的財務報表一個月虧97億光電特別是光電請大家看一下光電跟風電那個損害有多大然後你又把最便宜的核電把它拿掉你說你要幫這個企業企業碰到一個很大的問題企業馬上就碰到碳配的問題對不對 |
transcript.whisperx[22].start |
489.403 |
transcript.whisperx[22].end |
506.669 |
transcript.whisperx[22].text |
副主委馬上看到碳費的問題碳費核電是低碳嘛幾乎是零碳啊結果你現在燒煤燒天然氣啊這個錢就附加在你這個碳費就附加在這個企業的這個身上了嘛影響了企業的發展跟他的競爭力嘛好最後我做一個結論 |
transcript.whisperx[23].start |
508.356 |
transcript.whisperx[23].end |
533.866 |
transcript.whisperx[23].text |
好好去檢討剛剛五個面向的這個大問題好不好好健康的這個問題是我們人民生活的這個整個面積環境的這個問題還有這個電價的這個問題是最後我建議我做四個建議第一個我們好好去檢討能源的政策的錯誤包括是不是應該趕快要重啟核電第二個現在行政院長跟每次都在講說要重啟核電碰到一個問題要社會共識 |
transcript.whisperx[24].start |
536.374 |
transcript.whisperx[24].end |
555.543 |
transcript.whisperx[24].text |
現在民調都很清楚啊以和養立公投也都過了啊你如果應該遵從民意嘛可是行政院到現在都還一直在講社會共識那我們今天鄭重的呼籲依照公投法第14條第一項的規定行政部門也可以倡議開始公投啊你們要社會共識 |
transcript.whisperx[25].start |
556.912 |
transcript.whisperx[25].end |
566.245 |
transcript.whisperx[25].text |
行政部門提案我們來公投一次到底要不要重啟核電另外加速去處理核廢料最終處理廠的這個問題這是法律上規定行政部門要做的 |
transcript.whisperx[26].start |
567.284 |
transcript.whisperx[26].end |
594.702 |
transcript.whisperx[26].text |
到現在都沒有好好做要加速第四個檢視核電廠的運作的這個安全好不好趕快去做這四點更重要的我現在今天拿的是你的網站上面的你既然要去協調要去檢視整個我們的能源政策要去振興產業這四個建議趕快做好不好而且從剛剛五個面向是一定要照顧到人民要去振興我們的這個景氣讓我們的能源政策整個回到正常好不好不要再這樣一直錯誤下去好 謝謝主委好 主席謝謝好 |