IVOD_ID |
153960 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/153960 |
日期 |
2024-06-13 |
會議資料.會議代碼 |
委員會-11-1-19-16 |
會議資料.會議代碼:str |
第11屆第1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 |
1 |
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1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 |
2024-06-13T10:49:55+08:00 |
結束時間 |
2024-06-13T10:59:47+08:00 |
影片長度 |
00:09:52 |
支援功能[0] |
ai-transcript |
支援功能[1] |
gazette |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/cf02c7fc60cc7ba00d31392b7725567179c37d5c632653374d862afa46997d4e709bb89bbee775365ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
謝衣鳯 |
委員發言時間 |
10:49:55 - 10:59:47 |
會議時間 |
2024-06-13T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期經濟委員會第16次全體委員會議(事由:審查:
一、本院委員陳素月等17人擬具「植物診療師法草案」案。
二、本院委員邱議瑩等17人擬具「植物診療師法草案」案。
三、本院委員楊瓊瓔等24人擬具「植物診療師法草案」案。
(委員楊瓊瓔等人提案如未接獲議事處來函則不予審查)【6月12日及13日兩天一次會】) |
gazette.lineno |
580 |
gazette.blocks[0][0] |
謝委員衣鳯:(10時50分)謝謝主席,我想要請陳部長。 |
gazette.blocks[1][0] |
主席:我們再請陳部長。 |
gazette.blocks[2][0] |
陳部長駿季:委員好。 |
gazette.blocks[3][0] |
謝委員衣鳯:陳部長早安!植物診療師法這個東西其實原本大家有疑義的,就是在於我們的宣傳沒有成效,讓農民以及農藥業者產生這樣子不當的聯想,如果是能夠來協助農民,對於農作物的耕種都能夠有利的時候,我們當然大力支持,尤其要支持我們召委楊瓊瓔委員的版本,好不好?你怎麼想? |
gazette.blocks[4][0] |
陳部長駿季:謝謝委員的支持,因為整個跟利害關係人,包括農民、農藥業者,還有一些其他技師工會,甚至醫師工會,我們做了非常多的溝通,因為這個版本從106年就開始推了,現在的溝通,我想大家都贊同我們這個方式,特別是我們有100位的儲備醫師,過去3年在地方上的一個運作,也讓農民、也讓農會,還有市政府感受到這樣一個植物醫師的協助,所以我想我們會朝這個方向一起來努力。 |
gazette.blocks[5][0] |
謝委員衣鳯:好,謝謝。我想要請問衛福部食藥署,現在在的是哪一位? |
gazette.blocks[6][0] |
主席:來,我們請衛福部。 |
gazette.blocks[7][0] |
周簡任技正珮如:委員好。 |
gazette.blocks[8][0] |
謝委員衣鳯:請周技正跟部長一起。部長,對於進口乳品,你們有要求食藥署要將進口乳品更名為長效乳,這也是一般我們臺灣酪農為了區別我們自己的鮮乳跟紐西蘭進口鮮乳的差別,希望在名字上面有些許的區別,讓我們本土的酪農能夠在鮮乳的銷售上面有利基。其實他們已經很擔心了,因為現在市面上已經充斥著紐西蘭的乳品,即便是還沒零關稅,現在這樣的情況都已經讓他們的銷售,不管是夏天、冬天,在最近銷售量都不是很好的情況下,怎麼樣來保障?你已經要求了嘛,是不是? |
gazette.blocks[9][0] |
陳部長駿季:是,跟委員說明…… |
gazette.blocks[10][0] |
謝委員衣鳯:為什麼食藥署還是不同意? |
gazette.blocks[11][0] |
陳部長駿季:我跟委員說明,我們跟衛福部有一個很好的溝通管道,當初我們也的確有建議,因為我們沒辦法用要求,我們是用建議的方式請衛福部考慮用我們的方案二,就是長效乳,但是衛福部可能基於他們的專業也有一些其他的考量,所以我們現在正在積極的溝通,我也可以…… |
gazette.blocks[12][0] |
謝委員衣鳯:衛福部食藥署有什麼考量?等一下也說明一下,好不好? |
gazette.blocks[13][0] |
陳部長駿季:對於我們的溝通,包括我跟衛福部邱部長的溝通,我想也相當的順暢,我們是朝向更樂觀的一個角度,因為現在法案在預告期嘛,預告期任何單位都可以提供意見,包括農業部,我們也再次正式行文給衛福部,我們希望用長效乳,相關的酪農也會反映出這樣的聲音,在預告期結束,甚至於在預告期結束之前,我想我們應該會有更明確的…… |
gazette.blocks[14][0] |
謝委員衣鳯:你有跟邱部長溝通,那你有跟食藥署署長溝通嗎? |
gazette.blocks[15][0] |
陳部長駿季:我是跟部長溝通,我直接跟部長溝通。 |
gazette.blocks[16][0] |
謝委員衣鳯:部長說好,說不定食藥署覺得窒礙難行耶,會不會?請食藥署說一下。 |
gazette.blocks[17][0] |
周簡任技正珮如:委員好,有關6月5號的預告,目前是預告期,正在蒐集各界的意見,預告期結束,我們會就各界的意見來斟酌處理。 |
gazette.blocks[18][0] |
謝委員衣鳯:現在本土的酪農認為只要有鮮乳、長效鮮乳或者ESL鮮乳等等,有鮮乳的字樣,就會影響到消費者在購買時候的一個區別嘛,是不是?食藥署怎麼樣子? |
gazette.blocks[19][0] |
周簡任技正珮如:這個是我們收到的意見之一,我們也會慎重的考慮。 |
gazette.blocks[20][0] |
謝委員衣鳯:你們內部呢?部長說跟你們邱部長有溝通,你們食藥署內部呢?有沒有討論? |
gazette.blocks[21][0] |
周簡任技正珮如:有,因為在我們的預告期間其實進來的意見很多,也包括農業部…… |
gazette.blocks[22][0] |
謝委員衣鳯:那你們部裡面討論的意見如何? |
gazette.blocks[23][0] |
周簡任技正珮如:我們就是會把所有的意見都蒐集起來一併做討論。 |
gazette.blocks[24][0] |
謝委員衣鳯:我是說你們署裡面耶,你們會不會按照邱部長的看法?部長說跟你們邱部長溝通得很好啊,可是你們食藥署呢? |
gazette.blocks[25][0] |
周簡任技正珮如:我們食藥署其實是部裡的一個單位啦,我們是同一個機關,最後都會一起共同討論。 |
gazette.blocks[26][0] |
謝委員衣鳯:好,所以你們會按照部長的意見嘛! |
gazette.blocks[27][0] |
陳部長駿季:我替食藥署回答一下,因為相關食藥署的法規是預告60天嘛,在60天完了以後,我相信他們會用更專業的角度,依據我們外界的聲音,然後去做一個判斷。我剛才說的我跟衛福部長溝通,其實我們是朝共同的、同樣的目標去努力。 |
gazette.blocks[28][0] |
謝委員衣鳯:因為部長剛來啊,說不定食藥署不想要聽部長的啊,是不是?對不對?也不一定會溝通…… |
gazette.blocks[29][0] |
陳部長駿季:我想我們政府…… |
gazette.blocks[30][0] |
謝委員衣鳯:你還是要保障我們本土酪農…… |
gazette.blocks[31][0] |
陳部長駿季:所以我的立場非常明確,我會盡最大的力去跟衛福部溝通。 |
gazette.blocks[32][0] |
謝委員衣鳯:部長溝通了…… |
gazette.blocks[33][0] |
陳部長駿季:政府是一體的,我相信…… |
gazette.blocks[34][0] |
謝委員衣鳯:我覺得署裡面也是要去協調一下,不然到時候意見不一致欸,對不對?是不是?陳部長? |
gazette.blocks[35][0] |
陳部長駿季:我會再請我們相關單位去跟食藥署溝通啦,因為我是跟部長溝通,如果以我的身分可以去跟食藥署署長溝通,我也願意啦! |
gazette.blocks[36][0] |
謝委員衣鳯:你就找你們相對等的啦,你找你們部裡面對等的單位去溝通一下嘛! |
gazette.blocks[37][0] |
陳部長駿季:對,我們會再持續去做一個有效的溝通。 |
gazette.blocks[38][0] |
謝委員衣鳯:好。 |
gazette.blocks[38][1] |
再來,你們有研擬養牛產業全面升級轉型計畫來輔導產業升級因應,已經獲得行政院核可經費18.6億,其中補助產業淘汰低產乳牛每頭2萬,這個部分有些酪農在去年其實就已經陸陸續續淘汰了,你知道嘛,就是乳品市場的問題嘛…… |
gazette.blocks[39][0] |
陳部長駿季:是,瞭解。 |
gazette.blocks[40][0] |
謝委員衣鳯:所以他們陸陸續續配合政策都已經淘汰這些乳牛了,是不是能夠追溯納入計畫喔? |
gazette.blocks[41][0] |
陳部長駿季:對於這個部分,很多委員都有這樣的意見,然後我們在政策上跟酪農討論的過程中,我們也宣示了,就是希望大家一起努力讓我們的酪農產業更健康,所以我們的確也決定希望能做追溯的一個動作,但是因為追溯必須要去報院,我們也已經要報院,希望能夠追溯到去年12月開始,因為它是跨年的,我必須要報院,我們會朝這個目標來努力。 |
gazette.blocks[42][0] |
謝委員衣鳯:好。還有你曾經說過要區隔國產跟國外的鮮乳,所以要積極的推動鮮乳標章,這個部分的進展如何? |
gazette.blocks[43][0] |
陳部長駿季:鮮乳標章我們已經設計好了,我們預計7月1號上路,整個的鮮乳標章,其實我們當初是想要搭配長效乳的變更啦,因為長效乳的變更是整個市場區隔的另一個重要手段,相對的,這些國產鮮乳的標章,我們會更落實的去推動,讓消費者認同飲用國產的鮮乳是愛護我們臺灣的生態,因為它是一個低碳的產品,對於我們整個地球的環境是更有幫助的。 |
gazette.blocks[44][0] |
謝委員衣鳯:還有一點,不好意思,主席,再借一點時間喔。還有就是,其實現在已經有進口的長效乳品了,所以業者都很擔心進口乳品混合國產鮮乳來販賣、銷售,這個部分怎麼做? |
gazette.blocks[45][0] |
陳部長駿季:我想這個是在我們市場區隔上一個非常重要的把關,我們已經開發出國產鮮乳跟進口鮮乳差異的鑑別技術…… |
gazette.blocks[46][0] |
謝委員衣鳯:你們有鑑別的技術了? |
gazette.blocks[47][0] |
陳部長駿季:已經有鑑別的技術了。 |
gazette.blocks[48][0] |
謝委員衣鳯:有溯源的技術了,是不是? |
gazette.blocks[49][0] |
陳部長駿季:對,我們後續會有一些溯源搭配,然後會有市場抽查,當你有這個技術的時候,其實業者就會害怕啦,你沒有技術他就不怕。 |
gazette.blocks[50][0] |
謝委員衣鳯:這是最重要的,好不好? |
gazette.blocks[51][0] |
陳部長駿季:對,所以技術的開發非常重要,我們已經有這個技術了。 |
gazette.blocks[52][0] |
謝委員衣鳯:好,謝謝。 |
gazette.blocks[53][0] |
主席:謝謝。部長,你剛剛還搶先幫食藥署講話,它給你的預告就已經預告了「鮮乳」,它已經對不起你了,你還替它講話,今天我建議你,每一個委員都關心,這是國人的安全,把我們今天國會頻道所有委員的發言全部給食藥署聽,對不對?因為7到10度,它的安全性明明有危險嘛!明明有高風險嘛!對不對?所以我們支持你,一定要堅持,不可以什麼「長效鮮乳」,會讓民眾混淆視聽,對不對?你要堅持,我們國內14天以內的才是鮮乳,進口30天以上的就是長效乳,這是很清楚的啊!好不好?要明確啦!還要替食藥署講什麼話! |
gazette.blocks[54][0] |
陳部長駿季:我們還是很堅定的。 |
gazette.blocks[55][0] |
主席:對,這樣就對了!好,謝謝。 |
gazette.blocks[55][1] |
我們接下來請羅廷瑋委員。 |
gazette.blocks[55][2] |
對不起,我在台上聽每一位委員發言,你這麼老實、這麼客氣,難怪被欺負啊!來,請發言。 |
gazette.agenda.page_end |
206 |
gazette.agenda.meet_id |
委員會-11-1-19-16 |
gazette.agenda.speakers[0] |
楊瓊瓔 |
gazette.agenda.speakers[1] |
鄭正鈐 |
gazette.agenda.speakers[2] |
張嘉郡 |
gazette.agenda.speakers[3] |
陳亭妃 |
gazette.agenda.speakers[4] |
呂玉玲 |
gazette.agenda.speakers[5] |
邱議瑩 |
gazette.agenda.speakers[6] |
鄭天財Sra Kacaw |
gazette.agenda.speakers[7] |
張啓楷 |
gazette.agenda.speakers[8] |
賴瑞隆 |
gazette.agenda.speakers[9] |
謝衣鳯 |
gazette.agenda.speakers[10] |
羅廷瑋 |
gazette.agenda.speakers[11] |
黃國昌 |
gazette.agenda.speakers[12] |
黃秀芳 |
gazette.agenda.speakers[13] |
陳超明 |
gazette.agenda.speakers[14] |
徐富癸 |
gazette.agenda.speakers[15] |
邱志偉 |
gazette.agenda.speakers[16] |
洪孟楷 |
gazette.agenda.speakers[17] |
林岱樺 |
gazette.agenda.page_start |
153 |
gazette.agenda.meetingDate[0] |
2024-06-13 |
gazette.agenda.gazette_id |
1136201 |
gazette.agenda.agenda_lcidc_ids[0] |
1136201_00004 |
gazette.agenda.meet_name |
立法院第11屆第1會期經濟委員會第16次全體委員會議紀錄 |
gazette.agenda.content |
審查:一、本院委員陳素月等17人擬具「植物診療師法草案」案;二、本院委員邱議瑩等17人擬
具「植物診療師法草案」案;三、本院委員楊瓊瓔等24人擬具「植物診療師法草案」案 |
gazette.agenda.agenda_id |
1136201_00003 |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.56659375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
13.19346875 |
transcript.pyannote[1].end |
14.02034375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
14.15534375 |
transcript.pyannote[2].end |
15.85971875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
16.53471875 |
transcript.pyannote[3].end |
17.54721875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
23.63909375 |
transcript.pyannote[4].end |
24.11159375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
24.11159375 |
transcript.pyannote[5].end |
24.21284375 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
24.49971875 |
transcript.pyannote[6].end |
57.79409375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
42.80909375 |
transcript.pyannote[7].end |
43.19721875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
59.65034375 |
transcript.pyannote[8].end |
69.28596875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
69.75846875 |
transcript.pyannote[9].end |
75.04034375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
75.49596875 |
transcript.pyannote[10].end |
77.04846875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
77.40284375 |
transcript.pyannote[11].end |
79.98471875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
80.01846875 |
transcript.pyannote[12].end |
86.90346875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
87.22409375 |
transcript.pyannote[13].end |
91.71284375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
91.93221875 |
transcript.pyannote[14].end |
98.71596875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
100.45409375 |
transcript.pyannote[15].end |
101.53409375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
106.81596875 |
transcript.pyannote[16].end |
107.45721875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
107.74409375 |
transcript.pyannote[17].end |
107.89596875 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
108.70596875 |
transcript.pyannote[18].end |
111.81096875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
108.92534375 |
transcript.pyannote[19].end |
109.38096875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
113.24534375 |
transcript.pyannote[20].end |
113.81909375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
114.42659375 |
transcript.pyannote[21].end |
136.68471875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
136.92096875 |
transcript.pyannote[22].end |
151.60221875 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
151.78784375 |
transcript.pyannote[23].end |
156.12471875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
156.58034375 |
transcript.pyannote[24].end |
166.95846875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
167.19471875 |
transcript.pyannote[25].end |
168.81471875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
169.52346875 |
transcript.pyannote[26].end |
175.46346875 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
175.56471875 |
transcript.pyannote[27].end |
177.30284375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
179.73284375 |
transcript.pyannote[28].end |
180.81284375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
180.88034375 |
transcript.pyannote[29].end |
181.43721875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
183.63096875 |
transcript.pyannote[30].end |
184.06971875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
184.81221875 |
transcript.pyannote[31].end |
185.74034375 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
185.16659375 |
transcript.pyannote[32].end |
187.02284375 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
187.54596875 |
transcript.pyannote[33].end |
188.38971875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
189.11534375 |
transcript.pyannote[34].end |
190.33034375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
190.93784375 |
transcript.pyannote[35].end |
195.13971875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
195.24096875 |
transcript.pyannote[36].end |
205.39971875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
205.80471875 |
transcript.pyannote[37].end |
211.54221875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
211.74471875 |
transcript.pyannote[38].end |
216.14909375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
215.08596875 |
transcript.pyannote[39].end |
219.10221875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
219.27096875 |
transcript.pyannote[40].end |
224.72159375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
225.04221875 |
transcript.pyannote[41].end |
225.91971875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
226.20659375 |
transcript.pyannote[42].end |
226.89846875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
227.48909375 |
transcript.pyannote[43].end |
238.81221875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
238.96409375 |
transcript.pyannote[44].end |
247.68846875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
247.68846875 |
transcript.pyannote[45].end |
249.96659375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
248.14409375 |
transcript.pyannote[46].end |
248.34659375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
249.22409375 |
transcript.pyannote[47].end |
250.13534375 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
250.33784375 |
transcript.pyannote[48].end |
251.68784375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
251.94096875 |
transcript.pyannote[49].end |
253.59471875 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
253.40909375 |
transcript.pyannote[50].end |
256.83471875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
253.62846875 |
transcript.pyannote[51].end |
255.19784375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
257.29034375 |
transcript.pyannote[52].end |
260.04096875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
260.66534375 |
transcript.pyannote[53].end |
260.78346875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
261.50909375 |
transcript.pyannote[54].end |
274.23284375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
274.70534375 |
transcript.pyannote[55].end |
275.46471875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
275.46471875 |
transcript.pyannote[56].end |
275.63346875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
275.63346875 |
transcript.pyannote[57].end |
275.97096875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
275.97096875 |
transcript.pyannote[58].end |
295.88346875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
295.88346875 |
transcript.pyannote[59].end |
299.86596875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
300.57471875 |
transcript.pyannote[60].end |
300.96284375 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
300.96284375 |
transcript.pyannote[61].end |
301.03034375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
301.03034375 |
transcript.pyannote[62].end |
301.75596875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
301.75596875 |
transcript.pyannote[63].end |
301.77284375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
301.77284375 |
transcript.pyannote[64].end |
301.78971875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
303.03846875 |
transcript.pyannote[65].end |
303.05534375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
303.05534375 |
transcript.pyannote[66].end |
303.96659375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
303.96659375 |
transcript.pyannote[67].end |
304.03409375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
304.03409375 |
transcript.pyannote[68].end |
308.08409375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
308.26971875 |
transcript.pyannote[69].end |
316.90971875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
317.19659375 |
transcript.pyannote[70].end |
321.33096875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
321.92159375 |
transcript.pyannote[71].end |
323.96346875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
323.96346875 |
transcript.pyannote[72].end |
324.80721875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
326.66346875 |
transcript.pyannote[73].end |
331.03409375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
331.03409375 |
transcript.pyannote[74].end |
331.30409375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
331.82721875 |
transcript.pyannote[75].end |
338.03721875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
338.10471875 |
transcript.pyannote[76].end |
340.82159375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
341.37846875 |
transcript.pyannote[77].end |
343.43721875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
343.43721875 |
transcript.pyannote[78].end |
343.48784375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
344.68596875 |
transcript.pyannote[79].end |
363.68721875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
350.77784375 |
transcript.pyannote[80].end |
350.87909375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
364.63221875 |
transcript.pyannote[81].end |
375.58409375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
370.58909375 |
transcript.pyannote[82].end |
372.31034375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
373.82909375 |
transcript.pyannote[83].end |
374.28471875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
374.58846875 |
transcript.pyannote[84].end |
380.05596875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
380.39346875 |
transcript.pyannote[85].end |
381.11909375 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
380.42721875 |
transcript.pyannote[86].end |
392.22284375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
382.19909375 |
transcript.pyannote[87].end |
383.76846875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
392.44221875 |
transcript.pyannote[88].end |
393.04971875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
393.18471875 |
transcript.pyannote[89].end |
393.43784375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
394.12971875 |
transcript.pyannote[90].end |
394.65284375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
395.53034375 |
transcript.pyannote[91].end |
397.21784375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
397.55534375 |
transcript.pyannote[92].end |
399.76596875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
400.03596875 |
transcript.pyannote[93].end |
401.25096875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
401.92596875 |
transcript.pyannote[94].end |
406.14471875 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
406.09409375 |
transcript.pyannote[95].end |
412.08471875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
406.56659375 |
transcript.pyannote[96].end |
406.87034375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
407.64659375 |
transcript.pyannote[97].end |
409.38471875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
411.12284375 |
transcript.pyannote[98].end |
414.26159375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
412.94534375 |
transcript.pyannote[99].end |
413.46846875 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
414.26159375 |
transcript.pyannote[100].end |
425.41596875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
425.80409375 |
transcript.pyannote[101].end |
434.57909375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
428.74034375 |
transcript.pyannote[102].end |
429.17909375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
435.08534375 |
transcript.pyannote[103].end |
453.04034375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
442.13909375 |
transcript.pyannote[104].end |
442.91534375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
453.04034375 |
transcript.pyannote[105].end |
461.44409375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
461.62971875 |
transcript.pyannote[106].end |
469.47659375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
466.62471875 |
transcript.pyannote[107].end |
466.96221875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
470.18534375 |
transcript.pyannote[108].end |
472.00784375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
472.58159375 |
transcript.pyannote[109].end |
481.54221875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
481.82909375 |
transcript.pyannote[110].end |
488.37659375 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
484.90034375 |
transcript.pyannote[111].end |
485.11971875 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
488.57909375 |
transcript.pyannote[112].end |
496.88159375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
493.37159375 |
transcript.pyannote[113].end |
493.87784375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
496.44284375 |
transcript.pyannote[114].end |
496.98284375 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
497.10096875 |
transcript.pyannote[115].end |
497.50596875 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
497.84346875 |
transcript.pyannote[116].end |
498.65346875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
498.99096875 |
transcript.pyannote[117].end |
513.72284375 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
499.73346875 |
transcript.pyannote[118].end |
500.69534375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
500.89784375 |
transcript.pyannote[119].end |
501.10034375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
502.82159375 |
transcript.pyannote[120].end |
503.14221875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
508.57596875 |
transcript.pyannote[121].end |
508.76159375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
513.92534375 |
transcript.pyannote[122].end |
521.75534375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
513.94221875 |
transcript.pyannote[123].end |
514.27971875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
522.39659375 |
transcript.pyannote[124].end |
526.80096875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
527.20596875 |
transcript.pyannote[125].end |
533.50034375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
530.24346875 |
transcript.pyannote[126].end |
530.32784375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
533.51721875 |
transcript.pyannote[127].end |
533.53409375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
533.53409375 |
transcript.pyannote[128].end |
542.54534375 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
542.83221875 |
transcript.pyannote[129].end |
543.96284375 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
544.65471875 |
transcript.pyannote[130].end |
552.34971875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
545.39721875 |
transcript.pyannote[131].end |
545.76846875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
552.73784375 |
transcript.pyannote[132].end |
553.86846875 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
554.35784375 |
transcript.pyannote[133].end |
555.08346875 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
555.38721875 |
transcript.pyannote[134].end |
556.68659375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
556.93971875 |
transcript.pyannote[135].end |
561.42846875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
561.98534375 |
transcript.pyannote[136].end |
566.62596875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
566.84534375 |
transcript.pyannote[137].end |
569.71409375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
569.35971875 |
transcript.pyannote[138].end |
573.07221875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
570.25409375 |
transcript.pyannote[139].end |
571.58721875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
572.44784375 |
transcript.pyannote[140].end |
578.38784375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
578.79284375 |
transcript.pyannote[141].end |
581.17221875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
581.32409375 |
transcript.pyannote[142].end |
581.69534375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
581.69534375 |
transcript.pyannote[143].end |
582.99471875 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
582.65721875 |
transcript.pyannote[144].end |
584.74971875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
583.73721875 |
transcript.pyannote[145].end |
586.84221875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
586.92659375 |
transcript.pyannote[146].end |
587.87159375 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
590.70659375 |
transcript.pyannote[147].end |
591.12846875 |
transcript.whisperx[0].start |
0.089 |
transcript.whisperx[0].end |
15.586 |
transcript.whisperx[0].text |
第一份委員請做審打。謝謝主席。我想請我們陳部長。我們再請陳部長。 |
transcript.whisperx[1].start |
23.649 |
transcript.whisperx[1].end |
29.272 |
transcript.whisperx[1].text |
陳素月等17人擬具:「植物診療師法草案:立法院第11屆第1會期經濟委員會:立法院提案如未接獲議事處來函則不予審查:立法院提案如未接獲議事處來函則不予審查: |
transcript.whisperx[2].start |
43.399 |
transcript.whisperx[2].end |
57.517 |
transcript.whisperx[2].text |
如果是能夠來協助農民對於農作物的耕種都能夠有利的時候我們當然大力支持尤其要支持我們召委楊瓊瓔委員的版本好不好 |
transcript.whisperx[3].start |
60.073 |
transcript.whisperx[3].end |
74.788 |
transcript.whisperx[3].text |
我想謝謝委員的支持因為整個的一個跟利害關係的人包括農民、農藥業者還有一些其他技師工會甚至於醫師工會我們都做了非常多的溝通因為這個版本從106年就開始推了那現在的溝通我想大家都 |
transcript.whisperx[4].start |
75.469 |
transcript.whisperx[4].end |
75.589 |
transcript.whisperx[4].text |
來,我們請衛福部。 |
transcript.whisperx[5].start |
106.857 |
transcript.whisperx[5].end |
111.55 |
transcript.whisperx[5].text |
州記者嗎?一起,一起,我們一起好不好? |
transcript.whisperx[6].start |
113.391 |
transcript.whisperx[6].end |
136.24 |
transcript.whisperx[6].text |
部長,當初你們有送我們的那個進口乳品那你們要求食藥署要用長效乳的方式這也是一般我們台灣落農為了希望區別我們自己的鮮乳跟紐西蘭進口鮮乳的差別 |
transcript.whisperx[7].start |
136.92 |
transcript.whisperx[7].end |
156.561 |
transcript.whisperx[7].text |
️ ️ |
transcript.whisperx[8].start |
156.561 |
transcript.whisperx[8].end |
181.561 |
transcript.whisperx[8].text |
️ ️ |
transcript.whisperx[9].start |
185.904 |
transcript.whisperx[9].end |
205.234 |
transcript.whisperx[9].text |
為什麼食藥署還是不同意?我跟委員說明,我想我們跟衛生部有一個很好的溝通管道。當初我們也的確建議了,因為我們沒辦法用要求,我們用建議的方式請衛生部考慮用我們的方案二,就是長效乳。 |
transcript.whisperx[10].start |
205.828 |
transcript.whisperx[10].end |
227.415 |
transcript.whisperx[10].text |
|
transcript.whisperx[11].start |
227.415 |
transcript.whisperx[11].end |
251.903 |
transcript.whisperx[11].text |
|
transcript.whisperx[12].start |
251.983 |
transcript.whisperx[12].end |
259.881 |
transcript.whisperx[12].text |
我跟部長溝通。我直接跟部長溝通。部長說好,說不定食藥署覺得自愛難行,會不會?食藥署你說一下。 |
transcript.whisperx[13].start |
262.01 |
transcript.whisperx[13].end |
281.77 |
transcript.whisperx[13].text |
議員好,那有關這個6月5號的預告呢,那目前是預告期,那正在預告期收集各界的意見,那預告期結束我們會就各界的意見來斟酌處理。那現在本土的酪農認為說,就是只要有鮮乳,長效鮮乳或者是 |
transcript.whisperx[14].start |
283.251 |
transcript.whisperx[14].end |
301.968 |
transcript.whisperx[14].text |
proporting the question about the difference between pre-melted ESL and pre-melted ESL, will it affect the difference between pre-melted ESL and pre-melted ESL, will it affect the difference between pre-melted ESL and pre-melted ESL, will it affect the difference between pre-melted ESL and pre-melted ESL, will it affect the difference between pre-melted ESL and pre-melted ESL, will it affect the difference between pre-melted ESL and pre-melted ESL, will it affect the difference between pre-melted ESL and pre-melted ESL, will it affect the difference between pre-melted ESL and pre-melted ESL, will it affect the difference between pre-melted ESL and pre-melted ESL, will it affect the difference between pre-melted ESL and pre-melted ESL and pre- |
transcript.whisperx[15].start |
303.086 |
transcript.whisperx[15].end |
308.509 |
transcript.whisperx[15].text |
»: 部長說跟你們邱部長有溝通。你們食藥署內部勒?有沒有討論? |
transcript.whisperx[16].start |
308.509 |
transcript.whisperx[16].end |
317.655 |
transcript.whisperx[16].text |
»: 有。這個因為我們預告期間其實進來的意見很多。那所以也包括這個... »: 那你們部裡面討論的意見如何? |
transcript.whisperx[17].start |
317.655 |
transcript.whisperx[17].end |
331.084 |
transcript.whisperx[17].text |
»: 我們就是會再把所有的意見都收集起來一併做討論。 »: 我是說你們署裡面勒?你們會不會按照邱部長?部長說跟你們邱部長溝通得很好啊。可是你們食藥署勒? |
transcript.whisperx[18].start |
332.713 |
transcript.whisperx[18].end |
343.005 |
transcript.whisperx[18].text |
我們食藥署其實是部裡的一個單位啦,所以我們是同一個機關。對,那最後都會一起共同討論。好,所以你們會按照部長的意見嗎? |
transcript.whisperx[19].start |
345.01 |
transcript.whisperx[19].end |
363.488 |
transcript.whisperx[19].text |
我替食藥組回答一下,因為相關的食藥組的法規是預告60天嘛。那60天完了以後我相信會用更專業的角度然後依據我們外界的聲音去做一個判斷。那我剛才說的我跟衛福部長溝通其實我們是朝共同的同樣的目標去努力。 |
transcript.whisperx[20].start |
364.75 |
transcript.whisperx[20].end |
391.791 |
transcript.whisperx[20].text |
因為部長剛來啊。說不定食藥署不想要聽部長的啊。是不是?對不對?也不一定會溝通。你還是要保障我們本土落農的一個啊。所以我的立場非常明確喔。那我會用最大的盡力去跟衛福部去溝通。你那個部長溝通了,我覺得你署裡面也是要去協調一下。不然到時候意見不一致了欸。對不對?是不是?部長?陳部長? |
transcript.whisperx[21].start |
394.179 |
transcript.whisperx[21].end |
394.342 |
transcript.whisperx[21].text |
我想... |
transcript.whisperx[22].start |
395.538 |
transcript.whisperx[22].end |
425.538 |
transcript.whisperx[22].text |
|
transcript.whisperx[23].start |
425.538 |
transcript.whisperx[23].end |
449.701 |
transcript.whisperx[23].text |
️ ️ ️ ️ ️ |
transcript.whisperx[24].start |
449.701 |
transcript.whisperx[24].end |
469.684 |
transcript.whisperx[24].text |
|
transcript.whisperx[25].start |
470.213 |
transcript.whisperx[25].end |
498.746 |
transcript.whisperx[25].text |
️ ️ |
transcript.whisperx[26].start |
499.002 |
transcript.whisperx[26].end |
522.329 |
transcript.whisperx[26].text |
️ ️ ️ |
transcript.whisperx[27].start |
522.469 |
transcript.whisperx[27].end |
543.695 |
transcript.whisperx[27].text |
»: 引用國產的鮮乳是一個愛護我們臺灣的生態,因為它是一個低碳的產品,對於我們整個地球的環境是更有幫助的。」好,還有一點,不好意思主席再借一點時間喔。還有就是喔,其實現在已經有進口的這個長效的 |
transcript.whisperx[28].start |
544.684 |
transcript.whisperx[28].end |
561.937 |
transcript.whisperx[28].text |
|
transcript.whisperx[29].start |
561.937 |
transcript.whisperx[29].end |
591.067 |
transcript.whisperx[29].text |
️ ️ ️ |