| IVOD_ID |
165199 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/165199 |
| 日期 |
2025-11-10 |
| 會議資料.會議代碼 |
委員會-11-4-19-10 |
| 會議資料.會議代碼:str |
第11屆第4會期經濟委員會第10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 |
10 |
| 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10次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-11-10T10:23:01+08:00 |
| 結束時間 |
2025-11-10T10:31:39+08:00 |
| 影片長度 |
00:08:38 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6fc2fc2b2fd269db18186f27b7da22cf838b731be938aed5e8348dfcc66348a6ed97af83b71729ba5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
張嘉郡 |
| 委員發言時間 |
10:23:01 - 10:31:39 |
| 會議時間 |
2025-11-10T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期經濟委員會第10次全體委員會議(事由:審查:
一、行政院函請審議「企業併購法增訂第五章之一章名及第四十四條之二、第五十二條之一、第五十四條條文修正草案」案。
二、本院委員王美惠等20人擬具「企業併購法部分條文修正草案」案。
三、本院委員沈發惠等17人擬具「企業併購法部分條文修正草案」案。
四、本院委員賴惠員等20人擬具「企業併購法部分條文修正草案」案。
五、本院委員賴瑞隆等18人擬具「企業併購法部分條文修正草案」案。(第五案如於本次會議開始前未經各黨團簽署不復議同意書,則不予審查) (詢答及處理)
【11月10日及13日二天一次會】) |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
4.01346875 |
| transcript.pyannote[0].end |
6.61221875 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
7.27034375 |
| transcript.pyannote[1].end |
7.28721875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
7.28721875 |
| transcript.pyannote[2].end |
8.14784375 |
| transcript.pyannote[3].speaker |
SPEAKER_02 |
| transcript.pyannote[3].start |
8.14784375 |
| transcript.pyannote[3].end |
8.19846875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
11.74221875 |
| transcript.pyannote[4].end |
12.40034375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
12.85596875 |
| transcript.pyannote[5].end |
52.90034375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
13.85159375 |
| transcript.pyannote[6].end |
14.49284375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
35.16471875 |
| transcript.pyannote[7].end |
35.67096875 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
52.93409375 |
| transcript.pyannote[8].end |
60.56159375 |
| transcript.pyannote[9].speaker |
SPEAKER_02 |
| transcript.pyannote[9].start |
60.86534375 |
| transcript.pyannote[9].end |
62.33346875 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
62.48534375 |
| transcript.pyannote[10].end |
63.26159375 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
63.49784375 |
| transcript.pyannote[11].end |
64.40909375 |
| transcript.pyannote[12].speaker |
SPEAKER_02 |
| transcript.pyannote[12].start |
64.57784375 |
| transcript.pyannote[12].end |
67.69971875 |
| transcript.pyannote[13].speaker |
SPEAKER_02 |
| transcript.pyannote[13].start |
67.83471875 |
| transcript.pyannote[13].end |
72.81284375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
70.63596875 |
| transcript.pyannote[14].end |
71.64846875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
72.10409375 |
| transcript.pyannote[15].end |
119.21909375 |
| transcript.pyannote[16].speaker |
SPEAKER_02 |
| transcript.pyannote[16].start |
73.13346875 |
| transcript.pyannote[16].end |
73.45409375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
88.20284375 |
| transcript.pyannote[17].end |
88.52346875 |
| transcript.pyannote[18].speaker |
SPEAKER_02 |
| transcript.pyannote[18].start |
118.66221875 |
| transcript.pyannote[18].end |
124.93971875 |
| transcript.pyannote[19].speaker |
SPEAKER_02 |
| transcript.pyannote[19].start |
125.14221875 |
| transcript.pyannote[19].end |
129.98534375 |
| transcript.pyannote[20].speaker |
SPEAKER_02 |
| transcript.pyannote[20].start |
130.47471875 |
| transcript.pyannote[20].end |
133.63034375 |
| transcript.pyannote[21].speaker |
SPEAKER_02 |
| transcript.pyannote[21].start |
133.88346875 |
| transcript.pyannote[21].end |
134.86221875 |
| transcript.pyannote[22].speaker |
SPEAKER_02 |
| transcript.pyannote[22].start |
135.01409375 |
| transcript.pyannote[22].end |
135.41909375 |
| transcript.pyannote[23].speaker |
SPEAKER_02 |
| transcript.pyannote[23].start |
135.80721875 |
| transcript.pyannote[23].end |
138.60846875 |
| transcript.pyannote[24].speaker |
SPEAKER_02 |
| transcript.pyannote[24].start |
138.94596875 |
| transcript.pyannote[24].end |
140.44784375 |
| transcript.pyannote[25].speaker |
SPEAKER_02 |
| transcript.pyannote[25].start |
140.90346875 |
| transcript.pyannote[25].end |
141.24096875 |
| transcript.pyannote[26].speaker |
SPEAKER_02 |
| transcript.pyannote[26].start |
141.96659375 |
| transcript.pyannote[26].end |
142.40534375 |
| transcript.pyannote[27].speaker |
SPEAKER_02 |
| transcript.pyannote[27].start |
142.74284375 |
| transcript.pyannote[27].end |
146.67471875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
146.32034375 |
| transcript.pyannote[28].end |
150.28596875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
150.70784375 |
| transcript.pyannote[29].end |
165.15284375 |
| transcript.pyannote[30].speaker |
SPEAKER_02 |
| transcript.pyannote[30].start |
165.38909375 |
| transcript.pyannote[30].end |
174.53534375 |
| transcript.pyannote[31].speaker |
SPEAKER_02 |
| transcript.pyannote[31].start |
174.85596875 |
| transcript.pyannote[31].end |
177.57284375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
177.20159375 |
| transcript.pyannote[32].end |
204.04971875 |
| transcript.pyannote[33].speaker |
SPEAKER_02 |
| transcript.pyannote[33].start |
204.23534375 |
| transcript.pyannote[33].end |
209.55096875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
209.11221875 |
| transcript.pyannote[34].end |
213.34784375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
213.58409375 |
| transcript.pyannote[35].end |
220.67159375 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
220.95846875 |
| transcript.pyannote[36].end |
228.68721875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
228.02909375 |
| transcript.pyannote[37].end |
232.01159375 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
229.05846875 |
| transcript.pyannote[38].end |
230.10471875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
232.23096875 |
| transcript.pyannote[39].end |
237.59721875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
237.79971875 |
| transcript.pyannote[40].end |
267.26346875 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
268.27596875 |
| transcript.pyannote[41].end |
273.59159375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
271.58346875 |
| transcript.pyannote[42].end |
289.21784375 |
| transcript.pyannote[43].speaker |
SPEAKER_02 |
| transcript.pyannote[43].start |
289.21784375 |
| transcript.pyannote[43].end |
309.63659375 |
| transcript.pyannote[44].speaker |
SPEAKER_02 |
| transcript.pyannote[44].start |
309.83909375 |
| transcript.pyannote[44].end |
315.99846875 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
316.33596875 |
| transcript.pyannote[45].end |
343.11659375 |
| transcript.pyannote[46].speaker |
SPEAKER_02 |
| transcript.pyannote[46].start |
343.36971875 |
| transcript.pyannote[46].end |
344.48346875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
344.97284375 |
| transcript.pyannote[47].end |
383.09346875 |
| transcript.pyannote[48].speaker |
SPEAKER_02 |
| transcript.pyannote[48].start |
383.90346875 |
| transcript.pyannote[48].end |
393.58971875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
393.04971875 |
| transcript.pyannote[49].end |
395.90159375 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
396.23909375 |
| transcript.pyannote[50].end |
406.02659375 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
406.02659375 |
| transcript.pyannote[51].end |
406.54971875 |
| transcript.pyannote[52].speaker |
SPEAKER_02 |
| transcript.pyannote[52].start |
406.54971875 |
| transcript.pyannote[52].end |
406.88721875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
406.88721875 |
| transcript.pyannote[53].end |
407.03909375 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
408.20346875 |
| transcript.pyannote[54].end |
423.28971875 |
| transcript.pyannote[55].speaker |
SPEAKER_02 |
| transcript.pyannote[55].start |
419.15534375 |
| transcript.pyannote[55].end |
419.76284375 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
422.83409375 |
| transcript.pyannote[56].end |
428.97659375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
428.68971875 |
| transcript.pyannote[57].end |
459.62159375 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
430.02284375 |
| transcript.pyannote[58].end |
430.05659375 |
| transcript.pyannote[59].speaker |
SPEAKER_02 |
| transcript.pyannote[59].start |
430.09034375 |
| transcript.pyannote[59].end |
430.49534375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
442.03784375 |
| transcript.pyannote[60].end |
442.24034375 |
| transcript.pyannote[61].speaker |
SPEAKER_02 |
| transcript.pyannote[61].start |
459.62159375 |
| transcript.pyannote[61].end |
463.90784375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
462.81096875 |
| transcript.pyannote[62].end |
463.97534375 |
| transcript.pyannote[63].speaker |
SPEAKER_02 |
| transcript.pyannote[63].start |
463.97534375 |
| transcript.pyannote[63].end |
464.02596875 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
464.02596875 |
| transcript.pyannote[64].end |
465.76409375 |
| transcript.pyannote[65].speaker |
SPEAKER_02 |
| transcript.pyannote[65].start |
464.24534375 |
| transcript.pyannote[65].end |
464.75159375 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
465.83159375 |
| transcript.pyannote[66].end |
465.84846875 |
| transcript.pyannote[67].speaker |
SPEAKER_02 |
| transcript.pyannote[67].start |
465.84846875 |
| transcript.pyannote[67].end |
467.43471875 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
467.63721875 |
| transcript.pyannote[68].end |
471.28221875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
470.48909375 |
| transcript.pyannote[69].end |
478.47096875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
478.94346875 |
| transcript.pyannote[70].end |
485.76096875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
487.63409375 |
| transcript.pyannote[71].end |
487.65096875 |
| transcript.pyannote[72].speaker |
SPEAKER_02 |
| transcript.pyannote[72].start |
487.65096875 |
| transcript.pyannote[72].end |
487.66784375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
487.66784375 |
| transcript.pyannote[73].end |
487.78596875 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
487.78596875 |
| transcript.pyannote[74].end |
487.90409375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
487.90409375 |
| transcript.pyannote[75].end |
487.92096875 |
| transcript.pyannote[76].speaker |
SPEAKER_02 |
| transcript.pyannote[76].start |
487.92096875 |
| transcript.pyannote[76].end |
488.15721875 |
| transcript.pyannote[77].speaker |
SPEAKER_02 |
| transcript.pyannote[77].start |
488.96721875 |
| transcript.pyannote[77].end |
491.92034375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
491.39721875 |
| transcript.pyannote[78].end |
502.02846875 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
502.11284375 |
| transcript.pyannote[79].end |
502.87221875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
503.88471875 |
| transcript.pyannote[80].end |
504.42471875 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
505.15034375 |
| transcript.pyannote[81].end |
505.87596875 |
| transcript.pyannote[82].speaker |
SPEAKER_02 |
| transcript.pyannote[82].start |
505.94346875 |
| transcript.pyannote[82].end |
506.50034375 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
509.94284375 |
| transcript.pyannote[83].end |
510.68534375 |
| transcript.pyannote[84].speaker |
SPEAKER_02 |
| transcript.pyannote[84].start |
511.32659375 |
| transcript.pyannote[84].end |
512.32221875 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
512.92971875 |
| transcript.pyannote[85].end |
515.81534375 |
| transcript.whisperx[0].start |
4.368 |
| transcript.whisperx[0].end |
28.372 |
| transcript.whisperx[0].text |
謝謝主席 我想請工部長我們請部長部長 鳳凰颱風 早安鳳凰颱風現在已經確定往台灣靠近氣象署預計今天到舟山是影響最明顯的時候幾乎全台都有非常高的機率進入暴風圈 |
| transcript.whisperx[1].start |
28.892 |
| transcript.whisperx[1].end |
52.581 |
| transcript.whisperx[1].text |
那這幾天台電也對外說明說已經超前部署超過4000名搶修人力然後2800多輛的搶修車輛包括還有1700多台的機具還有甚至會用無人機協助巡查那會全力的防台確保供電這一點是部長所指示的嗎 |
| transcript.whisperx[2].start |
53.021 |
| transcript.whisperx[2].end |
64.059 |
| transcript.whisperx[2].text |
是是是我們事前就有這樣相關的一些準備的SOP馬上尤其是這一次他的路徑又是類似就是從從南然後往 |
| transcript.whisperx[3].start |
64.97 |
| transcript.whisperx[3].end |
71.697 |
| transcript.whisperx[3].text |
西南往東北走對台灣來講等於是它沒有中央山脈的屏障可能對台灣的影響比較大影響比較大那本席當然希望颱風不要來也不要停電但是如果真的發生停電社會一方面會期待台電趕快搶修復電 |
| transcript.whisperx[4].start |
83.51 |
| transcript.whisperx[4].end |
101.066 |
| transcript.whisperx[4].text |
但另外一方面本席也擔心說第一線的人員的安全包括工時的壓力那前陣子當然也很不幸有因為搶休離世的我們的工作人員那也有媒體整理過去10年颱風搶休造成至少台電有11個員工死亡30幾人受傷 |
| transcript.whisperx[5].start |
108.072 |
| transcript.whisperx[5].end |
134.422 |
| transcript.whisperx[5].text |
那很多都是在風雨中甚至在半夜趕工的時候發生的公安事件我不曉得部長是不是有所掌握或者是有沒有什麼樣的預防措施呢事實上我每次跟台電員工講說搶修電力當然是重要但是第一個一定是員工的同仁的安全那是第一不要因為搶修而去真的去冒險 |
| transcript.whisperx[6].start |
136.142 |
| transcript.whisperx[6].end |
164.413 |
| transcript.whisperx[6].text |
這個是最重要重中之重我想台電也會會謹慎的讓這些員工的安全還是擺在最重要的那本席在這裡也提醒部長包括台電就是說預防勝於治療是不是在那些高風險會發生的地區就是能夠事先先做預防那我覺得防災如果能夠做好也會減少他們搶休時候的危險 |
| transcript.whisperx[7].start |
165.453 |
| transcript.whisperx[7].end |
184.691 |
| transcript.whisperx[7].text |
是 所以上次的丹納斯颱風的特別預算我們就會針對上一次的風災可能造成比較脆弱的地區比較那我們會加強來做一些補強好 這一點請部長就是能夠去關心那另外我想要請教部長的是曾經有工會反映 |
| transcript.whisperx[8].start |
185.291 |
| transcript.whisperx[8].end |
209.245 |
| transcript.whisperx[8].text |
基層人員超時工作那當然喔這個搶修的時候真的很多時候是沒辦法你現在不修好你不再多一點時間就是修不好那是不是能夠有實質的回饋呢請問就是部長這邊對於這樣的訴求是否有一個具體的規劃呢加班本身就有額外的津貼嘛對不對搶修津貼嘛搶修津貼那有危險津貼嗎或者是可以補假嗎 |
| transcript.whisperx[9].start |
213.615 |
| transcript.whisperx[9].end |
238.462 |
| transcript.whisperx[9].text |
有報委員如果是颱風出行的話他大概是可以領原來薪水的三倍然後他還可以補休就是可以領原來薪水的三倍然後還可以補休那原來薪水是用你是用終點算還是用日子算因為他搶救多少小時我們就按多少小時算好我覺得這是有需要的如果有機會的話當然還是希望能夠多多 |
| transcript.whisperx[10].start |
239.422 |
| transcript.whisperx[10].end |
266.639 |
| transcript.whisperx[10].text |
給他們多一點實質的獎勵你說三倍或者是四倍或者是再加倍就是說讓他們在風雨中包括這是一個非常高危險的工作能夠讓他們更有保障然後能夠補休的部分也能夠盡快盡可能的更寬裕一點因為畢竟在您之前還是有官員說就是面對這個訴求的時候說受不了可以離開 |
| transcript.whisperx[11].start |
268.416 |
| transcript.whisperx[11].end |
289.001 |
| transcript.whisperx[11].text |
不會啦 就是說除了這個之外就是剛剛講這是嚴重打擊了基層的士氣所以部長我很期待說您藉這一次的機會能夠公開喊話讓這些基層的士氣能夠提振起來而且經濟部用最堅定的態度作為這些台電基層員工的後盾 |
| transcript.whisperx[12].start |
289.301 |
| transcript.whisperx[12].end |
315.532 |
| transcript.whisperx[12].text |
是一定是的我也是講說台電是國家最重要的這個國營事業所以除了這些加班增加經費之外那今年我們給他的這個加薪也提高到3.5比公務人員還多一點那也是因為台電公司或者是這幾家國營事業今年是特別辛苦那我們也感謝他們 |
| transcript.whisperx[13].start |
316.412 |
| transcript.whisperx[13].end |
338.928 |
| transcript.whisperx[13].text |
那本席在這裡還是要再提醒部長你整個能源結構如果不調整的話台電的財務狀況不變好的話其實也影響他們員工的權益所以這是牽一髮動全身所以也希望部長在這個能源政策的規劃上還有未來的這個長期的願景能夠為台電的這個財務狀況來做一個審慎評估 |
| transcript.whisperx[14].start |
343.745 |
| transcript.whisperx[14].end |
369.325 |
| transcript.whisperx[14].text |
謝謝 會的那另外呢 工部長就是這一次非洲豬瘟的出現行政院第一個反應不是檢查這個國內防疫的漏洞反而是把炮口轉向境外的電商然後說這個小包裹就是最大的破口值得就是淘寶 拼多多等平台那透過這個小包裹的寄送商品之內可能有夾帶著 |
| transcript.whisperx[15].start |
370.867 |
| transcript.whisperx[15].end |
382.884 |
| transcript.whisperx[15].text |
不應該進來的東西那行政院現在下令說這些平台要限期落地請問這個限期期限到底是多少是30天60天還是還沒有具體的時程呢 |
| transcript.whisperx[16].start |
384.539 |
| transcript.whisperx[16].end |
406.733 |
| transcript.whisperx[16].text |
現在的做法是沒有這樣的規劃因為我們跟陸委會也做了一些討論還沒有這樣的規劃因為電商如果要所以這只是喊話不用擔心是嗎電商如果要希望他在台灣落地那我們也希望我們的電商可以去中國落地但是現在是沒有這樣的談判所以本席要告訴你的是 |
| transcript.whisperx[17].start |
408.277 |
| transcript.whisperx[17].end |
426.418 |
| transcript.whisperx[17].text |
禁止你要這個禁止廚餘養豬才是落實保衛這些豬農包括這些豬隻不受非洲豬瘟影響所以這一點您理解嗎您贊成嗎現在農業部據我了解農業部已經暫時就是 |
| transcript.whisperx[18].start |
427.139 |
| transcript.whisperx[18].end |
449.137 |
| transcript.whisperx[18].text |
沒有要用廚餘養豬的嘛是 但是希望是長期性的希望是長期性的否則你這個破口太大啦你只要禁止廚餘養豬你可以非常大程度的將這個非洲豬瘟的傳染降到最低就反而是你的這個邊境管理你可以不用那麼的擔憂你知道嗎如果假設這個口把它堵住了 |
| transcript.whisperx[19].start |
451.078 |
| transcript.whisperx[19].end |
474.456 |
| transcript.whisperx[19].text |
你的邊境管理就算有一些小小的破口但是他進不到豬的這個飼養系統來就相對的保護了這些豬隻啊是 我想農業部一定會妥善的所以你也支持禁止廚餘養豬嗎 您個人我想配套說是要做好那現在就是暫時性的沒有這樣嘛希望就是經濟部也能夠呼籲農業部跟我們這個中央能夠 |
| transcript.whisperx[20].start |
479.039 |
| transcript.whisperx[20].end |
505.265 |
| transcript.whisperx[20].text |
永久的禁止廚餘養豬喔因為這個才是真正能夠防堵非洲豬瘟最好的方法支持嗎支持我這個還是農業部的全責啦我不好意思希望你們也是要跨部會多多的這個交流啦因為這個影響很大不是只有影響農業部你經濟部所管的其他的產業也都會發生問題啊知道嗎知道嗎是 謝謝 |
| transcript.whisperx[21].start |
510.111 |
| transcript.whisperx[21].end |
511.374 |
| transcript.whisperx[21].text |
謝謝我們現在請楊瓊英委員咨詢 |