| IVOD_ID |
168323 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/168323 |
| 日期 |
2026-04-09 |
| 會議資料.會議代碼 |
委員會-11-5-19-8 |
| 會議資料.會議代碼:str |
第11屆第5會期經濟委員會第8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 |
8 |
| 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8次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-04-09T09:39:53+08:00 |
| 結束時間 |
2026-04-09T09:50:34+08:00 |
| 影片長度 |
00:10:41 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fe6424cd58e46bc76ac1bb4497b6a447ff16f9abdda18f34ce3311c87f23443994175fee1b8a1d2e5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
邱議瑩 |
| 委員發言時間 |
09:39:53 - 09:50:34 |
| 會議時間 |
2026-04-09T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期經濟委員會第8次全體委員會議(事由:邀請經濟部部長、農業部部長、公平交易委員會代理主任委員、衛生福利部首長、法務部首長及行政院消費者保護處首長就「中東衝突加劇市場不確定性,致國內包括乙烯、塑膠、化肥、瀝青等石化原物料及物流成本增加,屢傳缺料、囤貨現象等之問題評估、因應策略與現況」進行報告,並備質詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_03 |
| transcript.pyannote[0].start |
2.39346875 |
| transcript.pyannote[0].end |
5.70096875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
6.44346875 |
| transcript.pyannote[1].end |
7.33784375 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
12.61971875 |
| transcript.pyannote[2].end |
13.41284375 |
| transcript.pyannote[3].speaker |
SPEAKER_03 |
| transcript.pyannote[3].start |
13.19346875 |
| transcript.pyannote[3].end |
22.59284375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
20.97284375 |
| transcript.pyannote[4].end |
21.10784375 |
| transcript.pyannote[5].speaker |
SPEAKER_03 |
| transcript.pyannote[5].start |
22.87971875 |
| transcript.pyannote[5].end |
25.19159375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
24.55034375 |
| transcript.pyannote[6].end |
27.75659375 |
| transcript.pyannote[7].speaker |
SPEAKER_03 |
| transcript.pyannote[7].start |
25.88346875 |
| transcript.pyannote[7].end |
40.07534375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
36.97034375 |
| transcript.pyannote[8].end |
40.85159375 |
| transcript.pyannote[9].speaker |
SPEAKER_03 |
| transcript.pyannote[9].start |
40.81784375 |
| transcript.pyannote[9].end |
50.01471875 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
52.49534375 |
| transcript.pyannote[10].end |
59.56596875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
58.23284375 |
| transcript.pyannote[11].end |
58.53659375 |
| transcript.pyannote[12].speaker |
SPEAKER_02 |
| transcript.pyannote[12].start |
59.85284375 |
| transcript.pyannote[12].end |
62.97471875 |
| transcript.pyannote[13].speaker |
SPEAKER_02 |
| transcript.pyannote[13].start |
63.41346875 |
| transcript.pyannote[13].end |
64.78034375 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
65.06721875 |
| transcript.pyannote[14].end |
72.79596875 |
| transcript.pyannote[15].speaker |
SPEAKER_03 |
| transcript.pyannote[15].start |
73.57221875 |
| transcript.pyannote[15].end |
74.51721875 |
| transcript.pyannote[16].speaker |
SPEAKER_03 |
| transcript.pyannote[16].start |
74.95596875 |
| transcript.pyannote[16].end |
81.16596875 |
| transcript.pyannote[17].speaker |
SPEAKER_03 |
| transcript.pyannote[17].start |
81.53721875 |
| transcript.pyannote[17].end |
85.43534375 |
| transcript.pyannote[18].speaker |
SPEAKER_03 |
| transcript.pyannote[18].start |
85.94159375 |
| transcript.pyannote[18].end |
120.48471875 |
| transcript.pyannote[19].speaker |
SPEAKER_02 |
| transcript.pyannote[19].start |
95.27346875 |
| transcript.pyannote[19].end |
95.59409375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
102.90096875 |
| transcript.pyannote[20].end |
103.17096875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
106.36034375 |
| transcript.pyannote[21].end |
106.76534375 |
| transcript.pyannote[22].speaker |
SPEAKER_03 |
| transcript.pyannote[22].start |
120.50159375 |
| transcript.pyannote[22].end |
120.51846875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
120.51846875 |
| transcript.pyannote[23].end |
121.31159375 |
| transcript.pyannote[24].speaker |
SPEAKER_03 |
| transcript.pyannote[24].start |
120.90659375 |
| transcript.pyannote[24].end |
122.30721875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
122.30721875 |
| transcript.pyannote[25].end |
148.19346875 |
| transcript.pyannote[26].speaker |
SPEAKER_03 |
| transcript.pyannote[26].start |
122.74596875 |
| transcript.pyannote[26].end |
123.20159375 |
| transcript.pyannote[27].speaker |
SPEAKER_03 |
| transcript.pyannote[27].start |
147.82221875 |
| transcript.pyannote[27].end |
149.49284375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
149.23971875 |
| transcript.pyannote[28].end |
149.62784375 |
| transcript.pyannote[29].speaker |
SPEAKER_03 |
| transcript.pyannote[29].start |
149.74596875 |
| transcript.pyannote[29].end |
164.66346875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
158.68971875 |
| transcript.pyannote[30].end |
159.14534375 |
| transcript.pyannote[31].speaker |
SPEAKER_03 |
| transcript.pyannote[31].start |
165.25409375 |
| transcript.pyannote[31].end |
165.62534375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
165.62534375 |
| transcript.pyannote[32].end |
166.03034375 |
| transcript.pyannote[33].speaker |
SPEAKER_03 |
| transcript.pyannote[33].start |
166.03034375 |
| transcript.pyannote[33].end |
169.54034375 |
| transcript.pyannote[34].speaker |
SPEAKER_03 |
| transcript.pyannote[34].start |
173.50596875 |
| transcript.pyannote[34].end |
188.77784375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
174.68721875 |
| transcript.pyannote[35].end |
174.99096875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
181.11659375 |
| transcript.pyannote[36].end |
181.60596875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
181.89284375 |
| transcript.pyannote[37].end |
182.34846875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
186.17909375 |
| transcript.pyannote[38].end |
186.46596875 |
| transcript.pyannote[39].speaker |
SPEAKER_03 |
| transcript.pyannote[39].start |
189.45284375 |
| transcript.pyannote[39].end |
192.50721875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
192.50721875 |
| transcript.pyannote[40].end |
192.89534375 |
| transcript.pyannote[41].speaker |
SPEAKER_03 |
| transcript.pyannote[41].start |
192.89534375 |
| transcript.pyannote[41].end |
195.52784375 |
| transcript.pyannote[42].speaker |
SPEAKER_03 |
| transcript.pyannote[42].start |
196.35471875 |
| transcript.pyannote[42].end |
199.49346875 |
| transcript.pyannote[43].speaker |
SPEAKER_03 |
| transcript.pyannote[43].start |
200.03346875 |
| transcript.pyannote[43].end |
200.65784375 |
| transcript.pyannote[44].speaker |
SPEAKER_03 |
| transcript.pyannote[44].start |
201.31596875 |
| transcript.pyannote[44].end |
206.59784375 |
| transcript.pyannote[45].speaker |
SPEAKER_03 |
| transcript.pyannote[45].start |
206.63159375 |
| transcript.pyannote[45].end |
220.41846875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
219.70971875 |
| transcript.pyannote[46].end |
285.47159375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
228.97409375 |
| transcript.pyannote[47].end |
229.76721875 |
| transcript.pyannote[48].speaker |
SPEAKER_03 |
| transcript.pyannote[48].start |
285.72471875 |
| transcript.pyannote[48].end |
361.89846875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
287.51346875 |
| transcript.pyannote[49].end |
287.96909375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
292.03596875 |
| transcript.pyannote[50].end |
292.44096875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
296.37284375 |
| transcript.pyannote[51].end |
298.00971875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
305.35034375 |
| transcript.pyannote[52].end |
305.82284375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
310.39596875 |
| transcript.pyannote[53].end |
310.41284375 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
310.41284375 |
| transcript.pyannote[54].end |
310.73346875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
310.73346875 |
| transcript.pyannote[55].end |
310.78409375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
314.02409375 |
| transcript.pyannote[56].end |
314.04096875 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
314.04096875 |
| transcript.pyannote[57].end |
314.51346875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
361.44284375 |
| transcript.pyannote[58].end |
391.59846875 |
| transcript.pyannote[59].speaker |
SPEAKER_03 |
| transcript.pyannote[59].start |
367.58534375 |
| transcript.pyannote[59].end |
368.12534375 |
| transcript.pyannote[60].speaker |
SPEAKER_03 |
| transcript.pyannote[60].start |
391.68284375 |
| transcript.pyannote[60].end |
398.68596875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
397.47096875 |
| transcript.pyannote[61].end |
397.70721875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
398.09534375 |
| transcript.pyannote[62].end |
398.88846875 |
| transcript.pyannote[63].speaker |
SPEAKER_03 |
| transcript.pyannote[63].start |
398.88846875 |
| transcript.pyannote[63].end |
400.59284375 |
| transcript.pyannote[64].speaker |
SPEAKER_03 |
| transcript.pyannote[64].start |
401.01471875 |
| transcript.pyannote[64].end |
407.35971875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
403.83284375 |
| transcript.pyannote[65].end |
404.22096875 |
| transcript.pyannote[66].speaker |
SPEAKER_03 |
| transcript.pyannote[66].start |
407.69721875 |
| transcript.pyannote[66].end |
408.50721875 |
| transcript.pyannote[67].speaker |
SPEAKER_03 |
| transcript.pyannote[67].start |
409.06409375 |
| transcript.pyannote[67].end |
425.02784375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
420.30284375 |
| transcript.pyannote[68].end |
420.31971875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
420.31971875 |
| transcript.pyannote[69].end |
421.26471875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
421.26471875 |
| transcript.pyannote[70].end |
421.28159375 |
| transcript.pyannote[71].speaker |
SPEAKER_03 |
| transcript.pyannote[71].start |
425.06159375 |
| transcript.pyannote[71].end |
429.56721875 |
| transcript.pyannote[72].speaker |
SPEAKER_03 |
| transcript.pyannote[72].start |
430.42784375 |
| transcript.pyannote[72].end |
437.75159375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
437.39721875 |
| transcript.pyannote[73].end |
437.53221875 |
| transcript.pyannote[74].speaker |
SPEAKER_03 |
| transcript.pyannote[74].start |
438.39284375 |
| transcript.pyannote[74].end |
451.15034375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
446.39159375 |
| transcript.pyannote[75].end |
446.74596875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
448.58534375 |
| transcript.pyannote[76].end |
448.63596875 |
| transcript.pyannote[77].speaker |
SPEAKER_03 |
| transcript.pyannote[77].start |
451.35284375 |
| transcript.pyannote[77].end |
452.56784375 |
| transcript.pyannote[78].speaker |
SPEAKER_03 |
| transcript.pyannote[78].start |
452.90534375 |
| transcript.pyannote[78].end |
461.86596875 |
| transcript.pyannote[79].speaker |
SPEAKER_03 |
| transcript.pyannote[79].start |
462.94596875 |
| transcript.pyannote[79].end |
464.09346875 |
| transcript.pyannote[80].speaker |
SPEAKER_03 |
| transcript.pyannote[80].start |
464.32971875 |
| transcript.pyannote[80].end |
466.05096875 |
| transcript.pyannote[81].speaker |
SPEAKER_03 |
| transcript.pyannote[81].start |
466.50659375 |
| transcript.pyannote[81].end |
470.20221875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
470.33721875 |
| transcript.pyannote[82].end |
482.03159375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
482.35221875 |
| transcript.pyannote[83].end |
500.34096875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
493.10159375 |
| transcript.pyannote[84].end |
493.32096875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
495.34596875 |
| transcript.pyannote[85].end |
495.49784375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
500.79659375 |
| transcript.pyannote[86].end |
503.02409375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
503.26034375 |
| transcript.pyannote[87].end |
528.67409375 |
| transcript.pyannote[88].speaker |
SPEAKER_03 |
| transcript.pyannote[88].start |
527.42534375 |
| transcript.pyannote[88].end |
527.71221875 |
| transcript.pyannote[89].speaker |
SPEAKER_03 |
| transcript.pyannote[89].start |
528.60659375 |
| transcript.pyannote[89].end |
529.31534375 |
| transcript.pyannote[90].speaker |
SPEAKER_03 |
| transcript.pyannote[90].start |
529.56846875 |
| transcript.pyannote[90].end |
548.31659375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
532.06596875 |
| transcript.pyannote[91].end |
532.58909375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
542.68034375 |
| transcript.pyannote[92].end |
542.71409375 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
543.35534375 |
| transcript.pyannote[93].end |
543.49034375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
544.08096875 |
| transcript.pyannote[94].end |
544.58721875 |
| transcript.pyannote[95].speaker |
SPEAKER_03 |
| transcript.pyannote[95].start |
548.38409375 |
| transcript.pyannote[95].end |
558.32346875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
554.12159375 |
| transcript.pyannote[96].end |
554.69534375 |
| transcript.pyannote[97].speaker |
SPEAKER_03 |
| transcript.pyannote[97].start |
558.69471875 |
| transcript.pyannote[97].end |
560.34846875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
560.56784375 |
| transcript.pyannote[98].end |
577.20659375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
577.72971875 |
| transcript.pyannote[99].end |
585.96471875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
586.13346875 |
| transcript.pyannote[100].end |
590.74034375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
591.01034375 |
| transcript.pyannote[101].end |
595.36409375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
595.41471875 |
| transcript.pyannote[102].end |
599.24534375 |
| transcript.pyannote[103].speaker |
SPEAKER_03 |
| transcript.pyannote[103].start |
599.36346875 |
| transcript.pyannote[103].end |
604.78034375 |
| transcript.pyannote[104].speaker |
SPEAKER_03 |
| transcript.pyannote[104].start |
605.13471875 |
| transcript.pyannote[104].end |
610.31534375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
607.26096875 |
| transcript.pyannote[105].end |
608.59409375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
609.79221875 |
| transcript.pyannote[106].end |
610.18034375 |
| transcript.pyannote[107].speaker |
SPEAKER_03 |
| transcript.pyannote[107].start |
610.34909375 |
| transcript.pyannote[107].end |
616.25534375 |
| transcript.pyannote[108].speaker |
SPEAKER_03 |
| transcript.pyannote[108].start |
616.44096875 |
| transcript.pyannote[108].end |
638.07471875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
620.64284375 |
| transcript.pyannote[109].end |
621.18284375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
634.59846875 |
| transcript.pyannote[110].end |
635.00346875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
637.14659375 |
| transcript.pyannote[111].end |
638.74971875 |
| transcript.whisperx[0].start |
2.415 |
| transcript.whisperx[0].end |
6.956 |
| transcript.whisperx[0].text |
好,谢谢主席,我先请一下工部长。工部长,谢谢。 |
| transcript.whisperx[1].start |
12.74 |
| transcript.whisperx[1].end |
39.814 |
| transcript.whisperx[1].text |
邱委員早安部長針對今天主席排定的專案報告的議題有一個問題特別請教就剛剛幾位委員問到的看起來塑膠袋其實是供應無虞嘛是不是這樣就是從量來講從量來講是供應無虞但是您昨天有沒有看到一個新聞有一個國內很大的這個便利應該是販賣通路商我就直接講家樂福他昨天有一個限塑令每一個人限購限量 |
| transcript.whisperx[2].start |
40.874 |
| transcript.whisperx[2].end |
49.572 |
| transcript.whisperx[2].text |
那政府一方面告訴大家這個塑膠袋的量供應無餘那一方面大型的通路商又告訴大家要限購那到底是怎麼樣 |
| transcript.whisperx[3].start |
52.931 |
| transcript.whisperx[3].end |
72.351 |
| transcript.whisperx[3].text |
是不是這邊我跟委員說明一下因為我們大概每天都有在調查這個大型通路上的供貨狀況家樂福那邊他是說最近購買的狀況有比較踴躍那也有一點搶購的狀況所以他有限購但是他目前的存貨是足夠的這是家樂福回覆我們的 |
| transcript.whisperx[4].start |
73.655 |
| transcript.whisperx[4].end |
94.926 |
| transcript.whisperx[4].text |
所以不會不是因為供應量不夠所以怕大家一窩蜂的去搶購所以才開始限購我覺得政府在這一方面其實還是應該要廣大的宣傳包括這個塑膠袋其實我們過去幾年一直在提倡減塑的這樣的一個政策 |
| transcript.whisperx[5].start |
96.667 |
| transcript.whisperx[5].end |
121.302 |
| transcript.whisperx[5].text |
趁著這一波其實我覺得讓大家在這個環保的意識上面多用環保帶這件事情其實也是應該可以加強的去推廣那請大家不要囤積甚至包括廠商或是消費者不要去囤積塑膠袋這個其實是一個很重要的觀念是不是也能夠趁這個機會來做一些這樣的一個機會教育或者是機會宣導 |
| transcript.whisperx[6].start |
122.563 |
| transcript.whisperx[6].end |
142.215 |
| transcript.whisperx[6].text |
是 謝委員提醒前天我們跟商圈的座談會理事長事實上他們觀念上也一直這樣提倡所以就是說他們是想就是說政府在這方面有沒有一些專案可以獎勵或是什麼樣那我也請署長說想一個辦法我們成立一個專案就是針對 |
| transcript.whisperx[7].start |
143.395 |
| transcript.whisperx[7].end |
168.747 |
| transcript.whisperx[7].text |
檢做這件事情我們怎麼樣鼓勵讓這些商圈的這些攤商發揮一下創意吧部長過去這個大家在搶購衛生紙的時候我記得蘇院長蘇貞昌院長當時有一個很夯的口號叫做每一個人自己有一個卡車所以你不需要去搶購衛生紙那現在大家在搶購塑膠袋你們發揮一下創意吧好不好好來那個工部長請回我接下來請農業部 |
| transcript.whisperx[8].start |
174.007 |
| transcript.whisperx[8].end |
194.413 |
| transcript.whisperx[8].text |
來陳部長我想恭喜台灣我們重回亞洲唯一的三大豬並非異區非異國這對台灣的養豬產業來說是一個絕大的好消息但是我想請教就是說台灣的養豬產業年產值大概有1000億重回非異國之後 |
| transcript.whisperx[9].start |
196.414 |
| transcript.whisperx[9].end |
218.669 |
| transcript.whisperx[9].text |
接下來包括我們經歷過那一個非洲豬瘟入侵的這樣的一個恐怖警戒回到非裔國未來我們在防疫的措施上面有沒有更精進包括地方跟中央的整個通報機制是不是有能夠有更精進的作為來部長請說謝謝委員 |
| transcript.whisperx[10].start |
222.392 |
| transcript.whisperx[10].end |
248.204 |
| transcript.whisperx[10].text |
我們很高興回到非疫區但是回到非疫區代表我們更需要去針對我們國內的這些防衛的部分那從這一次的非洲豬瘟的一個應變的過程中我們了解到中央跟地方其實過去的連結特別是在針對整個豬場本身的生物安全防護的這些稽查並不落實所以我們透過這一次的一個經驗我們重新針對 |
| transcript.whisperx[11].start |
249.644 |
| transcript.whisperx[11].end |
274.163 |
| transcript.whisperx[11].text |
場域的部分的生活安全的一個稽查有做了更好的一個落實包括人員進出那個敘事的時候都要用QR Code掃描能夠知道哪一些人進去那第二個部分是在後市場的集合就是說應該講邊境的把關我們持續會去落實而且會去加強那另外第二關就是後市場的稽查那後市場的稽查我們經常跟衛務部 |
| transcript.whisperx[12].start |
274.944 |
| transcript.whisperx[12].end |
291.941 |
| transcript.whisperx[12].text |
去訪查高風險的這些商店那這些商店是不是有來源不明的這些肉品然後再來就是我們場域的所以三道防線我們會跟進進部長我幾個提醒第一個當然在分工上面或者是說您剛剛講的稽查上面 |
| transcript.whisperx[13].start |
292.441 |
| transcript.whisperx[13].end |
311.618 |
| transcript.whisperx[13].text |
我覺得這個還是要持續這個鎖緊螺絲包括在機場的第一線的這個把關上第二豬場的包括四組農場的場主的這個教育這個教育的部分是不是能夠再持續加強包括他們的衛生環境我們過去一直在講養豬場的這個養殖環境的 |
| transcript.whisperx[14].start |
315.08 |
| transcript.whisperx[14].end |
339.727 |
| transcript.whisperx[14].text |
衛生安全的提升這個部分農業部應該還是有持續更精進的作為包括不管是補助也好或者是給他們更多的這些協助上我想這個部分農業部應該還是要持續的來做精進我覺得在第一線的養豬場他如何做好傾銷您剛講都是集合的部分但是在養豬場的場主如何在第一線做好傾銷甚至 |
| transcript.whisperx[15].start |
341.187 |
| transcript.whisperx[15].end |
359.868 |
| transcript.whisperx[15].text |
面對到株枝有可能產生不明的病因的這一些疾病狀況發生的時候我們的獸醫師如何在第一時間介入關心調查甚至診斷我想這個教育上面是不是農業部還要再有更多的這一些 |
| transcript.whisperx[16].start |
360.989 |
| transcript.whisperx[16].end |
381.85 |
| transcript.whisperx[16].text |
強化的作為我想非常謝謝委員的提醒特別提到就是說養豬場的衛生的一個提升那我們在第二期的養豬任性的裡面就有相關的經費去落實然後委員一直關心的就是獸醫師本身怎麼樣第一時間連結豬場那這個部分我想我們也正在啟動所有的獸醫師本身的一個防衛網 |
| transcript.whisperx[17].start |
382.751 |
| transcript.whisperx[17].end |
398.591 |
| transcript.whisperx[17].text |
那這個獸醫師可能有些是特別獸醫師有些是兼職獸醫師但是我們都把他登錄以後就可以讓他更有系統的去協助這個部長我想要特別強調獸醫的管理應該都是在衛福部所以這個部分我想農業部 |
| transcript.whisperx[18].start |
401.274 |
| transcript.whisperx[18].end |
428.465 |
| transcript.whisperx[18].text |
難怪剛剛衛福部司長一直在看我在農業部所以我希望這個部分其實農業部應該要加強在獸醫師的我們不要講管理我想對於加強獸醫師在這一方面應該給予他們有充分的授權跟充分的這一些知識這個部分我想請農業部來協助接下來要請教這個SSG的部分部長當然這個 |
| transcript.whisperx[19].start |
430.489 |
| transcript.whisperx[19].end |
450.077 |
| transcript.whisperx[19].text |
台灣對美國排除了SSG的這個機制對市場的影響現在還沒看出來我在擔心農業部會不會過度樂觀因為當時設立SSG其實就是為了維持這個關稅機制以免大量進口嘛那我們現在當然是只有對美國 |
| transcript.whisperx[20].start |
451.697 |
| transcript.whisperx[20].end |
461.607 |
| transcript.whisperx[20].text |
採取免徵那您剛剛講說包括肌肉的價格啦這個價差其實不大啦稻米的影響其實不嚴重但是一旦SSG被拿掉之後 |
| transcript.whisperx[21].start |
463.001 |
| transcript.whisperx[21].end |
481.643 |
| transcript.whisperx[21].text |
有沒有可能對於農產品的價格或者我直接這樣問你們的評估會不會過度樂觀我跟委員說明其實我們評估針對14項的SSG的品項我們有逐項的評估那這14項裡面其中有10項它有配合制度 |
| transcript.whisperx[22].start |
482.404 |
| transcript.whisperx[22].end |
499.695 |
| transcript.whisperx[22].text |
那有配額的時候就是有關稅內配額跟關稅外配額那如果一個產品要進來那我們也同時去分析它有沒有其他競爭對手國我舉豬肉就好豬肉有調降一些關稅但是美國調降關稅以後的豬肉還是比加拿大的還貴 |
| transcript.whisperx[23].start |
500.936 |
| transcript.whisperx[23].end |
528.888 |
| transcript.whisperx[23].text |
所以他要能夠量到大到能夠啟動SSG他必須經過取代加拿大的一個豬肉或是巴拉圭的豬肉然後又針對這些量逐步的放大那以豬肉來講我們的消費習性跟我們後續的推動我覺得我們有把握但是我們也必須持續的去關注有一些可能的風險那在這個風險之下我們也投入了一些改善的措施所以部長 |
| transcript.whisperx[24].start |
529.668 |
| transcript.whisperx[24].end |
557.382 |
| transcript.whisperx[24].text |
如果我今天是在野黨的委員在野黨委員一定會問你一句話如果照你這樣講的這麼樂觀、審慎其實對台灣的風險不大那你為什麼要編列300億的農安基金你300億的農安基金要拿來做什麼你的農安基金是只有穩定或者是輔導而已有沒有一個部分是拿來穩定這個物價或者是穩定這個農民的心絕對有我們的價格穩定啦或者是收購啦或者是及時補助 |
| transcript.whisperx[25].start |
558.743 |
| transcript.whisperx[25].end |
576.508 |
| transcript.whisperx[25].text |
你的農恩基金有沒有做這一塊?絕對有,我跟委員報告齁其實這次跟美國對等談判的一個內容本身對談判是一個機會所以我們要趁這個機會重慶我們國內的一個產銷的一個次序包括我們要用價值取代價格的競爭 |
| transcript.whisperx[26].start |
578.028 |
| transcript.whisperx[26].end |
597.416 |
| transcript.whisperx[26].text |
因為用低價的競爭我想我們的成本太高所以怎麼樣提升我們的價值我們就會投入更多的資源來避免您所擔心的這個可能的風險我們覺得影響不大但是我們不會樂觀到都不去忽略這個議題我們會持續的去關心 |
| transcript.whisperx[27].start |
599.417 |
| transcript.whisperx[27].end |
615.817 |
| transcript.whisperx[27].text |
好 不講這個因為時間已經到我不耽誤大家太多時間但是我想剛剛的這個部分在野黨的委員一定會持續針對這一點對農業部提出質疑所以農業部的評估不宜太過樂觀甚至你要把剛剛您在 |
| transcript.whisperx[28].start |
616.918 |
| transcript.whisperx[28].end |
637.17 |
| transcript.whisperx[28].text |
質詢台上面回答的這些部分把它做成簡單明瞭的圖卡讓農民讓消費端讓國內的整個市場端都能夠很清楚的知道在政策上面農業部對於國內的農產品的保護到什麼樣的程度做到什麼樣的機制我覺得這個部分應該要很清楚的來對國人說謝謝委員提醒 謝謝 |