| IVOD_ID |
165978 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/165978 |
| 日期 |
2025-11-27 |
| 會議資料.會議代碼 |
委員會-11-4-19-12 |
| 會議資料.會議代碼:str |
第11屆第4會期經濟委員會第12次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
12 |
| 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4會期經濟委員會第12次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-11-27T11:36:26+08:00 |
| 結束時間 |
2025-11-27T11:43:48+08:00 |
| 影片長度 |
00:07:22 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0f4b7ea395815859e7b75576454e9539bd93e540dfe0040ea0b20679a7fea94c1da20d41cb0576d55ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
賴士葆 |
| 委員發言時間 |
11:36:26 - 11:43:48 |
| 會議時間 |
2025-11-27T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期經濟委員會第12次全體委員會議（事由：審查：
一、 本院委員賴瑞隆等17人擬具「森林法部分條文修正草案」案。
二、 本院委員陳冠廷等18人擬具「森林法增訂第八條之一條文草案」案。
三、 本院委員蔡易餘等17人擬具「森林法部分條文修正草案」案。
四、 本院委員馬文君等19人擬具「森林法增訂第八條之一條文草案」案。
五、 本院委員鄭天財Sra Kacaw等18人擬具「森林法第二條及第十五條條文修正草案」案。
六、 本院委員伍麗華Saidhai‧Tahovecahe等17人擬具「森林法第十七條之二及第五十六條之三條文修正草案」案。
七、 本院委員盧縣一等16人擬具「森林法第九條之一及第十五條條文修正草案」案。
八、 本院委員游顥等25人擬具「森林法增訂第八條之一條文草案」案。
九、 本院委員黃仁等29人擬具「森林法第十五條條文修正草案」案。
十、 本院委員羅廷瑋等16人擬具「森林法第二條、第十七條之二及第五十六條之三條文修正草案」案。
十一、 本院委員陳亭妃等16人擬具「森林法部分條文修正草案」案。
十二、 本院委員林岱樺等16人擬具「森林法增訂第八條之一條文草案」案。
十三、 本院委員楊瓊瓔等26人擬具「森林法第二條及第十五條條文修正草案」案。
十四、 本院委員張雅琳等19人擬具「森林法部分條文修正草案」案。
(第十三及第十四案如未接獲院會交付審查之議事處來文，則不予審查) (僅詢答)） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
0.58784375 |
| transcript.pyannote[0].end |
1.02659375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
1.04346875 |
| transcript.pyannote[1].end |
2.24159375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
2.76471875 |
| transcript.pyannote[2].end |
4.23284375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
8.75534375 |
| transcript.pyannote[3].end |
9.22784375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
9.75096875 |
| transcript.pyannote[4].end |
11.15159375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
11.21909375 |
| transcript.pyannote[5].end |
11.60721875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
11.94471875 |
| transcript.pyannote[6].end |
13.80096875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
13.88534375 |
| transcript.pyannote[7].end |
16.01159375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
16.21409375 |
| transcript.pyannote[8].end |
16.93971875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
17.42909375 |
| transcript.pyannote[9].end |
19.15034375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
19.85909375 |
| transcript.pyannote[10].end |
20.36534375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
21.24284375 |
| transcript.pyannote[11].end |
22.86284375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
23.72346875 |
| transcript.pyannote[12].end |
31.38471875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
31.90784375 |
| transcript.pyannote[13].end |
63.41346875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
63.53159375 |
| transcript.pyannote[14].end |
64.05471875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
64.05471875 |
| transcript.pyannote[15].end |
78.93846875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
64.13909375 |
| transcript.pyannote[16].end |
64.52721875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
79.03971875 |
| transcript.pyannote[17].end |
82.65096875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
81.75659375 |
| transcript.pyannote[18].end |
83.54534375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
82.97159375 |
| transcript.pyannote[19].end |
99.15471875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
86.38034375 |
| transcript.pyannote[20].end |
87.76409375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
89.48534375 |
| transcript.pyannote[21].end |
89.95784375 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
99.62721875 |
| transcript.pyannote[22].end |
102.91784375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
102.00659375 |
| transcript.pyannote[23].end |
103.42409375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
104.50409375 |
| transcript.pyannote[24].end |
111.01784375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
111.01784375 |
| transcript.pyannote[25].end |
112.97534375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
112.24971875 |
| transcript.pyannote[26].end |
112.51971875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
112.97534375 |
| transcript.pyannote[27].end |
113.02596875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
113.02596875 |
| transcript.pyannote[28].end |
115.38846875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
115.62471875 |
| transcript.pyannote[29].end |
121.96971875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
118.91534375 |
| transcript.pyannote[30].end |
118.94909375 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
119.03346875 |
| transcript.pyannote[31].end |
119.06721875 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
121.96971875 |
| transcript.pyannote[32].end |
122.17221875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
122.17221875 |
| transcript.pyannote[33].end |
122.34096875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
122.34096875 |
| transcript.pyannote[34].end |
122.52659375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
122.52659375 |
| transcript.pyannote[35].end |
122.88096875 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
122.56034375 |
| transcript.pyannote[36].end |
122.83034375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
122.88096875 |
| transcript.pyannote[37].end |
134.98034375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
123.26909375 |
| transcript.pyannote[38].end |
125.44596875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
135.26721875 |
| transcript.pyannote[39].end |
136.73534375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
136.73534375 |
| transcript.pyannote[40].end |
143.78909375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
143.94096875 |
| transcript.pyannote[41].end |
145.83096875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
146.37096875 |
| transcript.pyannote[42].end |
146.40471875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
146.40471875 |
| transcript.pyannote[43].end |
148.10909375 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
148.36221875 |
| transcript.pyannote[44].end |
149.03721875 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
149.94846875 |
| transcript.pyannote[45].end |
152.73284375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
151.38284375 |
| transcript.pyannote[46].end |
151.41659375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
152.12534375 |
| transcript.pyannote[47].end |
152.44596875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
153.27284375 |
| transcript.pyannote[48].end |
156.02346875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
156.02346875 |
| transcript.pyannote[49].end |
156.91784375 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
156.91784375 |
| transcript.pyannote[50].end |
175.39596875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
158.97659375 |
| transcript.pyannote[51].end |
159.17909375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
159.22971875 |
| transcript.pyannote[52].end |
159.26346875 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
159.29721875 |
| transcript.pyannote[53].end |
159.31409375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
174.48471875 |
| transcript.pyannote[54].end |
177.77534375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
177.77534375 |
| transcript.pyannote[55].end |
186.34784375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
178.65284375 |
| transcript.pyannote[56].end |
180.01971875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
180.30659375 |
| transcript.pyannote[57].end |
180.66096875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
184.77846875 |
| transcript.pyannote[58].end |
189.38534375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
190.26284375 |
| transcript.pyannote[59].end |
191.96721875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
191.96721875 |
| transcript.pyannote[60].end |
195.76409375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
196.25346875 |
| transcript.pyannote[61].end |
196.28721875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
196.28721875 |
| transcript.pyannote[62].end |
197.83971875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
196.75971875 |
| transcript.pyannote[63].end |
197.94096875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
197.94096875 |
| transcript.pyannote[64].end |
198.46409375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
198.02534375 |
| transcript.pyannote[65].end |
219.54096875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
216.18284375 |
| transcript.pyannote[66].end |
217.24596875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
219.43971875 |
| transcript.pyannote[67].end |
219.52409375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
219.54096875 |
| transcript.pyannote[68].end |
220.21596875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
220.21596875 |
| transcript.pyannote[69].end |
222.42659375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
221.51534375 |
| transcript.pyannote[70].end |
223.67534375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
224.51909375 |
| transcript.pyannote[71].end |
226.78034375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
227.40471875 |
| transcript.pyannote[72].end |
231.67409375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
231.20159375 |
| transcript.pyannote[73].end |
231.60659375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
232.34909375 |
| transcript.pyannote[74].end |
232.36596875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
232.36596875 |
| transcript.pyannote[75].end |
232.90596875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
232.38284375 |
| transcript.pyannote[76].end |
232.77096875 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
233.04096875 |
| transcript.pyannote[77].end |
241.46159375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
236.06159375 |
| transcript.pyannote[78].end |
236.95596875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
238.22159375 |
| transcript.pyannote[79].end |
238.76159375 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
242.57534375 |
| transcript.pyannote[80].end |
243.03096875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
243.03096875 |
| transcript.pyannote[81].end |
245.41034375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
245.83221875 |
| transcript.pyannote[82].end |
257.07096875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
250.84409375 |
| transcript.pyannote[83].end |
250.87784375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
256.07534375 |
| transcript.pyannote[84].end |
257.57721875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
257.83034375 |
| transcript.pyannote[85].end |
257.86409375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
257.86409375 |
| transcript.pyannote[86].end |
258.15096875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
258.74159375 |
| transcript.pyannote[87].end |
259.66971875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
259.14659375 |
| transcript.pyannote[88].end |
259.65284375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
259.66971875 |
| transcript.pyannote[89].end |
260.02409375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
260.02409375 |
| transcript.pyannote[90].end |
260.39534375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
260.66534375 |
| transcript.pyannote[91].end |
261.01971875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
261.20534375 |
| transcript.pyannote[92].end |
264.63096875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
265.40721875 |
| transcript.pyannote[93].end |
288.12096875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
288.49221875 |
| transcript.pyannote[94].end |
293.79096875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
294.07784375 |
| transcript.pyannote[95].end |
297.79034375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
297.87471875 |
| transcript.pyannote[96].end |
299.35971875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
299.54534375 |
| transcript.pyannote[97].end |
302.27909375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
302.36346875 |
| transcript.pyannote[98].end |
303.98346875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
304.43909375 |
| transcript.pyannote[99].end |
314.61471875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
315.81284375 |
| transcript.pyannote[100].end |
330.94971875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
329.88659375 |
| transcript.pyannote[101].end |
332.40096875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
332.78909375 |
| transcript.pyannote[102].end |
342.30659375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
342.89721875 |
| transcript.pyannote[103].end |
348.58409375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
348.58409375 |
| transcript.pyannote[104].end |
351.68909375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
351.97596875 |
| transcript.pyannote[105].end |
361.51034375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
361.96596875 |
| transcript.pyannote[106].end |
364.56471875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
365.44221875 |
| transcript.pyannote[107].end |
366.64034375 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
366.92721875 |
| transcript.pyannote[108].end |
371.33159375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
371.33159375 |
| transcript.pyannote[109].end |
376.36034375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
376.36034375 |
| transcript.pyannote[110].end |
379.17846875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
378.04784375 |
| transcript.pyannote[111].end |
380.81534375 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
380.81534375 |
| transcript.pyannote[112].end |
397.80846875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
380.93346875 |
| transcript.pyannote[113].end |
381.05159375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
381.06846875 |
| transcript.pyannote[114].end |
381.10221875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
398.11221875 |
| transcript.pyannote[115].end |
398.70284375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
399.36096875 |
| transcript.pyannote[116].end |
403.64721875 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
404.00159375 |
| transcript.pyannote[117].end |
405.75659375 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
405.95909375 |
| transcript.pyannote[118].end |
407.76471875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
407.68034375 |
| transcript.pyannote[119].end |
412.94534375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
407.81534375 |
| transcript.pyannote[120].end |
407.88284375 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
409.87409375 |
| transcript.pyannote[121].end |
411.15659375 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
411.57846875 |
| transcript.pyannote[122].end |
424.16721875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
415.79721875 |
| transcript.pyannote[123].end |
415.91534375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
422.32784375 |
| transcript.pyannote[124].end |
424.20096875 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
424.20096875 |
| transcript.pyannote[125].end |
424.90971875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
424.90971875 |
| transcript.pyannote[126].end |
425.38221875 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
425.01096875 |
| transcript.pyannote[127].end |
425.51721875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
425.51721875 |
| transcript.pyannote[128].end |
426.02346875 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
426.02346875 |
| transcript.pyannote[129].end |
426.12471875 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
426.12471875 |
| transcript.pyannote[130].end |
426.19221875 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
426.19221875 |
| transcript.pyannote[131].end |
434.00534375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
427.98096875 |
| transcript.pyannote[132].end |
429.01034375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
429.06096875 |
| transcript.pyannote[133].end |
429.49971875 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
431.03534375 |
| transcript.pyannote[134].end |
431.82846875 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
434.15721875 |
| transcript.pyannote[135].end |
435.84471875 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
435.49034375 |
| transcript.pyannote[136].end |
435.52409375 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
435.84471875 |
| transcript.pyannote[137].end |
435.89534375 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
435.89534375 |
| transcript.pyannote[138].end |
435.94596875 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
435.94596875 |
| transcript.pyannote[139].end |
435.96284375 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
435.96284375 |
| transcript.pyannote[140].end |
436.97534375 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
436.97534375 |
| transcript.pyannote[141].end |
439.23659375 |
| transcript.pyannote[142].speaker |
SPEAKER_01 |
| transcript.pyannote[142].start |
440.19846875 |
| transcript.pyannote[142].end |
440.62034375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
440.50221875 |
| transcript.pyannote[143].end |
443.05034375 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
443.23596875 |
| transcript.pyannote[144].end |
443.97846875 |
| transcript.whisperx[0].start |
0.089 |
| transcript.whisperx[0].end |
3.932 |
| transcript.whisperx[0].text |
我想請問剛才你回答其他委員有提到廚餘養豬什麼時候可以全面 |
| transcript.whisperx[1].start |
23.752 |
| transcript.whisperx[1].end |
45.989 |
| transcript.whisperx[1].text |
的禁止廚藝養豬現在看到全國各縣市你可以看到豬瘟之後這個非洲豬瘟入侵之後你看到已經有早就宣布的後來陸續宣布的包括雲林縣 花東 金門 澎湖高雄市 台南市 嘉義縣苗栗縣 宜蘭縣等等的幾乎是不分 |
| transcript.whisperx[2].start |
46.69 |
| transcript.whisperx[2].end |
62.552 |
| transcript.whisperx[2].text |
不分黨派啦 藍綠幾乎都 這個執政的縣市幾乎都宣布了 就不要再廚餘養豬免得又有這個疑慮喔這個到底什麼時候這個什麼時候你可以宣布全面禁止廚餘 |
| transcript.whisperx[3].start |
64.133 |
| transcript.whisperx[3].end |
90.687 |
| transcript.whisperx[3].text |
我跟我們報告第一個部分就是整個大方向來講我們會有個弱智 廚餘養豬的一個弱智讓這些廚餘養豬互有一個過渡期那過渡期我們會讓它轉型成為用飼料的部分那您剛才說的有不同至少現在目前有應該是有將近五個縣市本身是禁止廚餘養豬不止五個喔 剛剛唸的就不止五個啦沒有 原來的不算 原來已經禁止的不算啦十幾個了 加起來十幾個了對 加起來是十幾個但是 對啊 就一半啦 沒有 |
| transcript.whisperx[4].start |
91.147 |
| transcript.whisperx[4].end |
103.306 |
| transcript.whisperx[4].text |
一個最重要的 除以養豬大縣市的部分包括新北 包括桃園 包括新竹 台中 彰化這幾個都不吭聲所以我們的相關的政策你叫他吭聲啊 |
| transcript.whisperx[5].start |
104.537 |
| transcript.whisperx[5].end |
117.375 |
| transcript.whisperx[5].text |
沒有 前六大還有屏東這六大的部分我們會跟縣市政府溝通我請問你成本考量是不是屬於成本考量不是成本考量不然為什麼呢這個如果大家講不然就是飼料嘛飼料比較貴飼料跟廚藥差多少錢 |
| transcript.whisperx[6].start |
121.3 |
| transcript.whisperx[6].end |
142.988 |
| transcript.whisperx[6].text |
你告訴我 差多了喔因為沒有 差幾% 差幾%第一個除以養豬的黑豬的部分他要養差不多一年啦然後一般的白豬的話大概是180天大概六個月啦所以這兩個時間點不一樣他的換肉率也不一樣你跟我講嘛 這都聽不懂啦成本差多少啦3層4層5層6層大概差10多塊啦10多塊是幾%啦幾%幾% 每一公斤幾%啦 |
| transcript.whisperx[7].start |
150.42 |
| transcript.whisperx[7].end |
174.857 |
| transcript.whisperx[7].text |
三層左右三層左右三層左右多少錢啊這個你們農業補貼一下不就好了嗎我們後面我們現在除以養豬的轉型我們有一個比較好的方案但是委員非常重視的剛才一個很重要的問題就是廚餘如果沒有沒有好好處理的時候它變成另外一個環境議題那現實上我們的對啦因為現在六層的廚餘都是去餵豬的嘛 |
| transcript.whisperx[8].start |
180.36 |
| transcript.whisperx[8].end |
195.635 |
| transcript.whisperx[8].text |
所以我們會跟縣市政府溝通他當地的廚藝如果能夠有效的處理你現在因為我時間有限你就具體回答我你心目中什麼時候可以確定我全國禁止廚藝養豬以農業部來講我們是越快越好 |
| transcript.whisperx[9].start |
196.395 |
| transcript.whisperx[9].end |
222.08 |
| transcript.whisperx[9].text |
越快越好 多快 三個月可以嗎沒有 我們越快越好但是一個很重要 我剛才說的就是我們要讓我們的廚藝養豬戶有一個轉型期讓他來接受輔導第二個部分就是轉型要多久嘛轉型的部分要看因為從申請 像現在裝天線的話就裝了三個月 它還沒有裝好所以這個部分 我想我們會盡快要夠鼓鼓鼓就對了沒有 我們會跟環境部會溝通我可不可以這樣講 給你寬鬆一點 |
| transcript.whisperx[10].start |
224.58 |
| transcript.whisperx[10].end |
240.974 |
| transcript.whisperx[10].text |
我們你預期一年內可以確實做到全國禁止出移洋出移會三年嗎我想我們的方案裡面有這樣的一個選項但是我們會跟地方政府會跟地方政府溝通啊可不可以這樣講 |
| transcript.whisperx[11].start |
242.617 |
| transcript.whisperx[11].end |
257.89 |
| transcript.whisperx[11].text |
最慢一年越快越好這樣可以嗎不過這個還要跟地方政府溝通啦我說弱勢當然以我們來講越快越好但是相對的地方政府如果在除以本身的處理沒辦法處理的話可能就會有所調整所以我一年是可以期待的嘛 對不對 |
| transcript.whisperx[12].start |
258.789 |
| transcript.whisperx[12].end |
265.511 |
| transcript.whisperx[12].text |
一年可以期待 在我們的方案之一可以期待好 第二個題目簡短光電三法通過以後其實對這個熔電共生其實是有一定的衝擊這個當然是正面的我們認為9月8號審計部報告魚電共生七成有電沒有魚 魚死光光 |
| transcript.whisperx[13].start |
284.875 |
| transcript.whisperx[13].end |
314.515 |
| transcript.whisperx[13].text |
目前還有3000多個熔電案主要是以無光需求或者部分光照需求的設施例如孤設集貨廠冷凍庫溫室為主那這個台灣是不是有可能做到像日本一樣就是說我一方面我農地也種電但是不會影響產量不會影響環境就是以農為本的農業共生方案有沒有 |
| transcript.whisperx[14].start |
315.835 |
| transcript.whisperx[14].end |
331.582 |
| transcript.whisperx[14].text |
我跟委員報告你剛才講的孤設集貨場冷藏庫他都是完全是用黑暗之下或人工光源就可以生產的那這個部分在溫室的這些光電的部分大概本來就在開放了那你講的以農為本的這個是審計部報告喔 |
| transcript.whisperx[15].start |
332.822 |
| transcript.whisperx[15].end |
357.019 |
| transcript.whisperx[15].text |
我知道 所以我才會說齁我們現在是開放漁電共生但是農電共生本身我們要考慮的會更多的因素啦齁那我們個人期待就是說這個政策 我講會隨著時間而去做一些檢視跟調整欸 你 你 你有主席站起來齁我不要耽誤太多時間人家審計部打你槍欸說你漁電共生七成有電沒有魚欸魚死光光欸這個你們要對外正式說明一下 |
| transcript.whisperx[16].start |
362.043 |
| transcript.whisperx[16].end |
380.311 |
| transcript.whisperx[16].text |
怎麼會有這個情況 審計部打你槍欸審計部 審計部啊我想我們針對審計部的報告 我們也很深刻的檢討不是 你有沒有對外說明啊 審計部這個他講這樣子就打你槍啊 你都沒有回應啊我們有沒有回應 我們應該有回應吧有嗎 對外 你怎麼回應 你現在講 |
| transcript.whisperx[17].start |
380.891 |
| transcript.whisperx[17].end |
396.291 |
| transcript.whisperx[17].text |
我想漁電共生本身我們經過查核的部分那這七成裡面可能有一部分是在試營運的階段他還沒有接電但是他試營運還沒有得到電業許可那這個部分我們已經在處理然後我們也將近270多場的這些這些 |
| transcript.whisperx[18].start |
399.715 |
| transcript.whisperx[18].end |
410.063 |
| transcript.whisperx[18].text |
魚電工生的部分如果他沒有養魚的話我們就廢止第三個部分就是以前的改善期沒有期限一直改善你還要推魚電工生嗎人家打你一槍你還要推嗎還要嗎還要推嗎魚電工生如果好好的經營是沒問題的那現在就是說魚電工生都是以光電業者為主體那未來我們會調整成以對啦這是我講的啦 |
| transcript.whisperx[19].start |
424.994 |
| transcript.whisperx[19].end |
439.201 |
| transcript.whisperx[19].text |
應該要與農為本的農電共生或者與漁為本的漁電共生才對啦這個是我們的堅持我們會從這個方面去改善好 這個你要加油啊 人家打你槍啊我知道 了解謝謝 謝謝世保委員 謝謝部長 |