| IVOD_ID |
169776 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/169776 |
| 日期 |
2026-06-03 |
| 會議資料.會議代碼 |
委員會-11-5-19-16 |
| 會議資料.會議代碼:str |
第11屆第5會期經濟委員會第16次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
5 |
| 會議資料.會次 |
16 |
| 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5會期經濟委員會第16次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-06-03T11:00:25+08:00 |
| 結束時間 |
2026-06-03T11:10:24+08:00 |
| 影片長度 |
00:09:59 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5329b193fad04125a46e56c822703cce1daf08b7e9b1ad7477c83729728f4ea83b12e6e223e8e7575ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
蔡易餘 |
| 委員發言時間 |
11:00:25 - 11:10:24 |
| 會議時間 |
2026-06-03T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期經濟委員會第16次全體委員會議（事由：一、 繼續審查：
(一) 本院委員伍麗華Saidhai Tahovecahe等17人擬具「土石採取法第三條條文修正草案」案。
(二) 本院委員黃仁等36人擬具「土石採取法第三條及第十四條條文修正草案」案。
(三) 本院委員邱議瑩等21人擬具「土石採取法部分條文修正草案」案。
(四) 本院委員賴瑞隆等19人擬具「土石採取法部分條文修正草案」案。
(五) 本院委員許智傑等31人擬具「土石採取法第三十六條條文修正草案」案。
(六) 本院委員柯志恩等19人擬具「土石採取法第三十六條條文修正草案」案。
(七) 本院委員邱鎮軍等24人擬具「土石採取法第三十六條、第三十八條及第三十九條條文修正草案」案。
(八) 本院委員陳亭妃等16人擬具「土石採取法第三十六條條文修正草案」案。
(九) 本院委員丁學忠等16人擬具「土石採取法第三十六條條文修正草案」案。
(十) 本院台灣民眾黨黨團擬具「土石採取法第三十六條、第三十八條及第四十一條條文修正草案」案。
二、 審查：
(十一) 行政院函請審議「土石採取法第三十六條條文修正草案」案。
(十二) 本院委員林倩綺等17人擬具「土石採取法第三十六條、第三十八條及第三十九條條文修正草案」案。
(十三) 本院委員鄭天財Sra Kacaw等16人擬具「土石採取法第三條及第十四條條文修正草案」案。
(十四) 本院委員徐巧芯等16人擬具「土石採取法第三十六條條文修正草案」案。
(十五) 本院委員王鴻薇等19人擬具「土石採取法第三十六條條文修正草案」案。
(十六) 本院委員廖偉翔等21人擬具「土石採取法第三十六條條文修正草案」案。
(第十五及第十六案如未接獲院會交付審查之議事處來文，則不予審查) (詢答及處理)
【6月3日及6月4日二天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
1.93784375 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
9.73409375 |
| transcript.pyannote[1].end |
13.14284375 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
13.73346875 |
| transcript.pyannote[2].end |
14.81346875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
19.30221875 |
| transcript.pyannote[3].end |
19.96034375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
20.75346875 |
| transcript.pyannote[4].end |
21.90096875 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
22.60971875 |
| transcript.pyannote[5].end |
28.58346875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
29.02221875 |
| transcript.pyannote[6].end |
33.29159375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
33.40971875 |
| transcript.pyannote[7].end |
44.09159375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
44.36159375 |
| transcript.pyannote[8].end |
48.96846875 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
44.37846875 |
| transcript.pyannote[9].end |
45.05346875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
48.96846875 |
| transcript.pyannote[10].end |
58.11471875 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
58.16534375 |
| transcript.pyannote[11].end |
59.93721875 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
60.39284375 |
| transcript.pyannote[12].end |
64.88159375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
64.88159375 |
| transcript.pyannote[13].end |
65.30346875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
65.30346875 |
| transcript.pyannote[14].end |
80.49096875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
81.06471875 |
| transcript.pyannote[15].end |
84.82784375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
84.97971875 |
| transcript.pyannote[16].end |
90.66659375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
90.98721875 |
| transcript.pyannote[17].end |
93.67034375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
93.87284375 |
| transcript.pyannote[18].end |
95.15534375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
95.50971875 |
| transcript.pyannote[19].end |
98.90159375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
99.15471875 |
| transcript.pyannote[20].end |
101.63534375 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
101.82096875 |
| transcript.pyannote[21].end |
102.96846875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
103.25534375 |
| transcript.pyannote[22].end |
107.22096875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
107.42346875 |
| transcript.pyannote[23].end |
109.53284375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
109.66784375 |
| transcript.pyannote[24].end |
113.80221875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
114.13971875 |
| transcript.pyannote[25].end |
122.35784375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
122.56034375 |
| transcript.pyannote[26].end |
127.90971875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
128.39909375 |
| transcript.pyannote[27].end |
130.66034375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
130.96409375 |
| transcript.pyannote[28].end |
135.40221875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
135.50346875 |
| transcript.pyannote[29].end |
140.05971875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
140.07659375 |
| transcript.pyannote[30].end |
142.70909375 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
142.94534375 |
| transcript.pyannote[31].end |
144.70034375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
144.91971875 |
| transcript.pyannote[32].end |
161.47409375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
161.64284375 |
| transcript.pyannote[33].end |
163.00971875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
163.26284375 |
| transcript.pyannote[34].end |
167.16096875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
167.31284375 |
| transcript.pyannote[35].end |
168.54471875 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
168.74721875 |
| transcript.pyannote[36].end |
171.19409375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
171.41346875 |
| transcript.pyannote[37].end |
173.97846875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
174.11346875 |
| transcript.pyannote[38].end |
178.14659375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
180.50909375 |
| transcript.pyannote[39].end |
181.45409375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
181.74096875 |
| transcript.pyannote[40].end |
225.53159375 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
224.85659375 |
| transcript.pyannote[41].end |
237.31034375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
237.31034375 |
| transcript.pyannote[42].end |
237.90096875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
237.58034375 |
| transcript.pyannote[43].end |
249.03846875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
249.35909375 |
| transcript.pyannote[44].end |
251.35034375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
251.53596875 |
| transcript.pyannote[45].end |
254.59034375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
254.77596875 |
| transcript.pyannote[46].end |
255.21471875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
255.21471875 |
| transcript.pyannote[47].end |
255.68721875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
256.02471875 |
| transcript.pyannote[48].end |
256.04159375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
256.04159375 |
| transcript.pyannote[49].end |
258.25221875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
258.58971875 |
| transcript.pyannote[50].end |
260.10846875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
260.27721875 |
| transcript.pyannote[51].end |
261.15471875 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
261.47534375 |
| transcript.pyannote[52].end |
275.09346875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
275.83596875 |
| transcript.pyannote[53].end |
279.37971875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
279.90284375 |
| transcript.pyannote[54].end |
284.42534375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
284.69534375 |
| transcript.pyannote[55].end |
286.66971875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
286.68659375 |
| transcript.pyannote[56].end |
287.09159375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
287.04096875 |
| transcript.pyannote[57].end |
290.82096875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
291.29346875 |
| transcript.pyannote[58].end |
292.89659375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
293.70659375 |
| transcript.pyannote[59].end |
294.61784375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
295.07346875 |
| transcript.pyannote[60].end |
296.79471875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
297.28409375 |
| transcript.pyannote[61].end |
301.01346875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
301.60409375 |
| transcript.pyannote[62].end |
302.49846875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
302.97096875 |
| transcript.pyannote[63].end |
306.46409375 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
307.25721875 |
| transcript.pyannote[64].end |
314.56409375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
315.12096875 |
| transcript.pyannote[65].end |
318.83346875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
319.06971875 |
| transcript.pyannote[66].end |
323.13659375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
323.40659375 |
| transcript.pyannote[67].end |
324.67221875 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
325.11096875 |
| transcript.pyannote[68].end |
325.41471875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
325.73534375 |
| transcript.pyannote[69].end |
325.90409375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
326.25846875 |
| transcript.pyannote[70].end |
327.22034375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
327.43971875 |
| transcript.pyannote[71].end |
328.13159375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
328.67159375 |
| transcript.pyannote[72].end |
329.31284375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
329.80221875 |
| transcript.pyannote[73].end |
331.37159375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
331.55721875 |
| transcript.pyannote[74].end |
332.09721875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
332.09721875 |
| transcript.pyannote[75].end |
332.36721875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
333.19409375 |
| transcript.pyannote[76].end |
340.93971875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
340.09596875 |
| transcript.pyannote[77].end |
340.46721875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
341.39534375 |
| transcript.pyannote[78].end |
348.43221875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
343.30221875 |
| transcript.pyannote[79].end |
344.19659375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
344.26409375 |
| transcript.pyannote[80].end |
345.49596875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
347.89221875 |
| transcript.pyannote[81].end |
348.17909375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
349.22534375 |
| transcript.pyannote[82].end |
356.68409375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
357.03846875 |
| transcript.pyannote[83].end |
358.55721875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
358.97909375 |
| transcript.pyannote[84].end |
393.47159375 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
393.67409375 |
| transcript.pyannote[85].end |
393.75846875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
393.75846875 |
| transcript.pyannote[86].end |
436.82346875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
399.61409375 |
| transcript.pyannote[87].end |
401.25096875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
401.84159375 |
| transcript.pyannote[88].end |
402.87096875 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
404.84534375 |
| transcript.pyannote[89].end |
406.17846875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
408.97971875 |
| transcript.pyannote[90].end |
409.06409375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
410.46471875 |
| transcript.pyannote[91].end |
410.58284375 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
413.90721875 |
| transcript.pyannote[92].end |
414.00846875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
437.11034375 |
| transcript.pyannote[93].end |
438.57846875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
439.81034375 |
| transcript.pyannote[94].end |
440.29971875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
441.09284375 |
| transcript.pyannote[95].end |
449.24346875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
449.56409375 |
| transcript.pyannote[96].end |
458.91284375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
459.14909375 |
| transcript.pyannote[97].end |
465.10596875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
465.44346875 |
| transcript.pyannote[98].end |
468.21096875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
468.64971875 |
| transcript.pyannote[99].end |
470.47221875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
468.71721875 |
| transcript.pyannote[100].end |
470.25284375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
470.30346875 |
| transcript.pyannote[101].end |
472.54784375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
472.54784375 |
| transcript.pyannote[102].end |
473.32409375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
472.98659375 |
| transcript.pyannote[103].end |
477.50909375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
477.93096875 |
| transcript.pyannote[104].end |
479.92221875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
480.29346875 |
| transcript.pyannote[105].end |
483.92159375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
484.15784375 |
| transcript.pyannote[106].end |
485.91284375 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
486.13221875 |
| transcript.pyannote[107].end |
487.41471875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
487.80284375 |
| transcript.pyannote[108].end |
490.67159375 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
491.00909375 |
| transcript.pyannote[109].end |
497.32034375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
497.40471875 |
| transcript.pyannote[110].end |
499.66596875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
500.03721875 |
| transcript.pyannote[111].end |
505.94346875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
504.23909375 |
| transcript.pyannote[112].end |
520.42221875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
520.64159375 |
| transcript.pyannote[113].end |
526.04159375 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
526.29471875 |
| transcript.pyannote[114].end |
542.51159375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
529.92284375 |
| transcript.pyannote[115].end |
530.31096875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
542.51159375 |
| transcript.pyannote[116].end |
542.66346875 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
542.66346875 |
| transcript.pyannote[117].end |
545.61659375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
542.73096875 |
| transcript.pyannote[118].end |
543.03471875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
545.61659375 |
| transcript.pyannote[119].end |
545.98784375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
545.98784375 |
| transcript.pyannote[120].end |
546.03846875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
546.03846875 |
| transcript.pyannote[121].end |
553.96971875 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
547.38846875 |
| transcript.pyannote[122].end |
548.09721875 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
550.54409375 |
| transcript.pyannote[123].end |
573.96659375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
573.96659375 |
| transcript.pyannote[124].end |
578.53971875 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
574.60784375 |
| transcript.pyannote[125].end |
574.94534375 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
578.13471875 |
| transcript.pyannote[126].end |
585.32346875 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
585.47534375 |
| transcript.pyannote[127].end |
591.53346875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
591.65159375 |
| transcript.pyannote[128].end |
594.50346875 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
594.50346875 |
| transcript.pyannote[129].end |
595.49909375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
596.96721875 |
| transcript.pyannote[130].end |
599.31284375 |
| transcript.whisperx[0].start |
0.089 |
| transcript.whisperx[0].end |
21.362 |
| transcript.whisperx[0].text |
接著我們請蔡宇文質詢謝謝主席那我們是不是有請經濟部次長有請經濟部次長委員午安次長 |
| transcript.whisperx[1].start |
22.642 |
| transcript.whisperx[1].end |
43.983 |
| transcript.whisperx[1].text |
那我想當那是颱風那造成從嘉義布袋登錄嘛那在去年是造成整個嘉義那不管是電線桿倒了兩千多隻那或者是一些復原的事情事實上台電是真的當時是感受就是非常的辛苦 |
| transcript.whisperx[2].start |
44.663 |
| transcript.whisperx[2].end |
64.736 |
| transcript.whisperx[2].text |
非常感謝委員在那個時候給台電公司跟經濟部的協助當然啦齁這個協助是一定要啦齁只是說我們從那裡可以看出說你算不管是台電員工或者這一些外包的廠商他們這些員工這個工作量在當時幾乎都是一個超量工作超時工作啦齁 |
| transcript.whisperx[3].start |
65.356 |
| transcript.whisperx[3].end |
79.28 |
| transcript.whisperx[3].text |
那也礙於說因為大家希望儘速搶修嘛所以就是就有這樣的一個背景之下那當時甚至發生了這個台電的員工齁這個在高峰作業的時候不幸齁那被高壓電去電然後 |
| transcript.whisperx[4].start |
81.641 |
| transcript.whisperx[4].end |
102.575 |
| transcript.whisperx[4].text |
這個搶救不治啦那這個我想是大家心裡的一個痛那我也是希望用這個事情事實上再去點出一些職工福利的問題那我們知道說台電的職工福利他有一個計算模式那經濟部的一個模式是以台電的營業收入他必須要扣除政府的補助收入扣除能 |
| transcript.whisperx[5].start |
103.315 |
| transcript.whisperx[5].end |
113.063 |
| transcript.whisperx[5].text |
核能後端營運收入以及扣除電價調整因素然後再乘以所謂0.12%再加上下繳料變賣的收入乘以40% |
| transcript.whisperx[6].start |
114.232 |
| transcript.whisperx[6].end |
135.167 |
| transcript.whisperx[6].text |
那我們也看到說事實上這個0.12%是從95年0.15然後96年是0.13到了102年只剩下0.1那到了現在是恢復到了0.12較往常的0.15是比較低那第二個是因為有這個電價調整因素的存在 |
| transcript.whisperx[7].start |
135.988 |
| transcript.whisperx[7].end |
152.21 |
| transcript.whisperx[7].text |
讓台電的職工福利一直處在於說相對於其他的國營事業職工福利就是比較低那這個職工福利低當然會金額是差距差不多一萬三千塊但是這會影響到畢竟還是所有員工的一個士氣問題 |
| transcript.whisperx[8].start |
153.231 |
| transcript.whisperx[8].end |
175.379 |
| transcript.whisperx[8].text |
那我想經濟部既然說我們站在這個台電確實在這段時間不管是他承擔了國家的很多一些電價穩定的一些成本那以及我們知道說他們在這段時間如果遇到颱風要復電的一個辛苦我們是不是可以進一步來檢討這一套計算模式呢 |
| transcript.whisperx[9].start |
180.94 |
| transcript.whisperx[9].end |
193.593 |
| transcript.whisperx[9].text |
非常感謝委員對於我們台電同仁的關心台電有3萬多個員工那剛剛委員所垂詢的問題在民國97年的時候立法院有做這個決議把對價漲調漲的這個因素把它當為減項 |
| transcript.whisperx[10].start |
198.358 |
| transcript.whisperx[10].end |
224.903 |
| transcript.whisperx[10].text |
那我们也期待说或是未来卓氏大院可以来支持的话可以让我们的所有的国营事业特别是台电公司在这个部分有可以得到一个改善那近年来经济部协助台电公司不管是从员工基层员工的收入的部分有挣扎的部分我们要来加薪那委员所垂询的这个部分我们是不是期待我们 |
| transcript.whisperx[11].start |
224.943 |
| transcript.whisperx[11].end |
248.712 |
| transcript.whisperx[11].text |
所以次長你的意思是說因為在97年的時候有立法院的決議認為說必須要把電價調整調漲因素列為這個台電職工福利計算的一個簡項那如果這個決議我們現在如果立法院再形成一個新的決議你們經濟部也是支持這樣來讓我們職工台電員工的職工福利可以來提高嗎 |
| transcript.whisperx[12].start |
249.54 |
| transcript.whisperx[12].end |
274.334 |
| transcript.whisperx[12].text |
我們會依照這個立法院的這個決議來辦理相關預算的編列那我再問第二個啦 這個關於自來水的問題是這個我相信次長一定很清楚經濟部在補助這個管線自來水管線的延伸嘛你們還是有一套計算模式計算模式大概是以每戶他的成本大概是80萬 |
| transcript.whisperx[13].start |
276.219 |
| transcript.whisperx[13].end |
290.15 |
| transcript.whisperx[13].text |
那如果是遇到在水庫的水源地那以及原住民原民區原住民保留地那會提高到100萬那我現在有我比較在意的是在這個100萬這100萬就是說 |
| transcript.whisperx[14].start |
293.992 |
| transcript.whisperx[14].end |
313.359 |
| transcript.whisperx[14].text |
因為它就在水庫的水源地基本上水庫的水源地第一負數比較少 負數也不多但是它周邊都是一直長久是沒有自來水的縱使要用也要用簡易自來水可是簡易自來水又得讓他們去負擔為後端營運的一個費用 |
| transcript.whisperx[15].start |
315.202 |
| transcript.whisperx[15].end |
331.027 |
| transcript.whisperx[15].text |
那以他們在自來水庫旁邊你比如說我們嘉義我們十門水庫十門水庫是在我們嘉義的大部份他們那裡基本上本身這個交通就不變對 |
| transcript.whisperx[16].start |
333.334 |
| transcript.whisperx[16].end |
345.088 |
| transcript.whisperx[16].text |
你要叫他們發展水庫周邊的一個觀光產業也沒有那麼簡單發展我們知道那裡最近才一家那裡的一個旅社也是停下來了 |
| transcript.whisperx[17].start |
350.499 |
| transcript.whisperx[17].end |
376.636 |
| transcript.whisperx[17].text |
對 所以就是說 如何讓至少在水庫住在水庫附近的居民有自來水可以吃 有自來水所以我感覺這個是我們應該去協助他們對 我們應該協助他們所以我們當時訂了這一百萬當然是說相對於平原區 他們接管他們的比例是他們需要的 當然這個看起來是一百萬可是這一百萬對於說他們的活動本身就足夠了 |
| transcript.whisperx[18].start |
378.797 |
| transcript.whisperx[18].end |
387.468 |
| transcript.whisperx[18].text |
所以他們還是處在一個看得到吃不到所以有沒有可能來檢討這一個一百萬就是說我就住在水庫旁邊我們家事實上我們的貨物也是比較少有的就這樣不然製造也要提高到一倍一百六十萬這樣 |
| transcript.whisperx[19].start |
394.916 |
| transcript.whisperx[19].end |
403.143 |
| transcript.whisperx[19].text |
首先感謝委員 因為我們水庫一年能擺好 買的可能就差一兩百塊 差很遠 水庫的成本很高過去這60萬 我們現在提供到80萬 甚至說水庫的部分 水庫邊 提供到100萬 |
| transcript.whisperx[20].start |
411.569 |
| transcript.whisperx[20].end |
437.91 |
| transcript.whisperx[20].text |
我現在有兩個方向來處理啦一個方向就是說是不是台水公司啊儲水池啊可以增加譬如說我們最近在阿里山那裡儲水池增大的時候他不要貪提到這個整個的沿管的成本裡面啦供水可以穩定那至於說那些所謂的無自來水地區或是簡易自來水設施啊在今年應該是去年 |
| transcript.whisperx[21].start |
439.881 |
| transcript.whisperx[21].end |
468.072 |
| transcript.whisperx[21].text |
前年那個卓院長有核定了無自來水地區供水改善計畫對於所謂的簡易自來水的部分補助儲水設施然後加裝所謂的淨水設施的這個部分來努力那至於剛剛委員所講的這些個案我們用個案來做一個檢討看看怎麼樣可以減少那個成本的分子的部分分母的部分沒有辦法改變嘛 |
| transcript.whisperx[22].start |
468.972 |
| transcript.whisperx[22].end |
485.605 |
| transcript.whisperx[22].text |
分母是固定的分子當然是讓它減少下來分母的部分我是覺得說有沒有可能進一步去檢討因為我們現在是抓100那100我們不能說因為它就是在水庫旁邊那能不能檢討一下就是說120也好 |
| transcript.whisperx[23].start |
488.827 |
| transcript.whisperx[23].end |
512.794 |
| transcript.whisperx[23].text |
你把他拿高起來,他們要去爭取這個預算的機會才會提高,不然你現在來說,本來他們那邊設定的一戶一戶,都是距離很遙遠啊對阿,因為大陸水庫邊沒有水塘用,這是很荒謬的啦,我是覺得我們那邊就是水庫邊,水質水源保護區,所以我們土地又受到更大的限制 |
| transcript.whisperx[24].start |
513.554 |
| transcript.whisperx[24].end |
541.053 |
| transcript.whisperx[24].text |
在這樣的限制之下我們連最基本的自來水沒辦法吃沒出來最好吃我會覺得說這一些是有一點呈現就是說早期國家在發展的時候對於一些居民的一個矛盾點那我們現在如果整體的國家現在稅收是看起來是正成長稅收很好至少多拿一點預算然後來解決這些矛盾的事情不然說出來真的 |
| transcript.whisperx[25].start |
542.253 |
| transcript.whisperx[25].end |
557.341 |
| transcript.whisperx[25].text |
會紅燒啦 原來的水庫冰 我沒有煮到最好吃這煮到我都有啦 是我們就依照委員的這個指示的方向啦你們檢查看看啦 當然你剛才說的如果減少分子 把蓄水池加大還是怎樣 但是 |
| transcript.whisperx[26].start |
557.921 |
| transcript.whisperx[26].end |
572.174 |
| transcript.whisperx[26].text |
我們如果那思考的是叫做簡易自來水簡易自來水永遠還是有後端的營運成本那後端的營運成本還是得讓這些居民他們去成立一個如何管理簡易自來水所以又要負擔額外的一個費用 |
| transcript.whisperx[27].start |
574.036 |
| transcript.whisperx[27].end |
595.189 |
| transcript.whisperx[27].text |
所以包括入休費啦 挖入這些費用分子的部分我們來檢討一下是啊 入休費我們事實上也可以找縣政府或是公路局就是說如果要入休的時候 一併入休那就把入休費不要納為我們這一次嚴管的它的費用的一個分子裡面這個都可以討論嘛對對對 我們來設想好不好好不好 好 謝謝好 我們謝謝這個蔡議員 |