iVOD / 151557

Field Value
IVOD_ID 151557
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/151557
日期 2024-04-22
會議資料.會議代碼 委員會-11-1-15-13
會議資料.會議代碼:str 第11屆第1會期內政委員會第13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 13
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第1會期內政委員會第13次全體委員會議
影片種類 Clip
開始時間 2024-04-22T11:36:04+08:00
結束時間 2024-04-22T11:45:10+08:00
影片長度 00:09:06
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/5754819b6179c3364f22f0e5a19f302697e999b50eca937cdcb4691eb09bf4e211c02b0a35ec6cc75ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 11:36:04 - 11:45:10
會議時間 2024-04-22T09:00:00+08:00
會議名稱 立法院第11屆第1會期內政委員會第13次全體委員會議(事由:一、處理113年度中央政府總預算案有關行政院預算凍結書面報告案計8案。 二、處理113年度中央政府總預算案有關不當黨產處理委員會預算凍結書面報告案計1案。 三、審查113年度中央政府總預算案有關行政院預算凍結書面報告案計2案。 四、審查113年度中央政府總預算案有關不當黨產處理委員會預算凍結書面報告案計2案。)
gazette.lineno 672
gazette.blocks[0][0] 黃委員國昌:(11時36分)謝謝主席。麻煩有請秘書長。
gazette.blocks[1][0] 李秘書長孟諺:委員好。
gazette.blocks[2][0] 黃委員國昌:秘書長好。今天行政院預算的解凍報告裡面提到有關於吹哨者保護法的事情,我看了報告,我必須要說,我非常震驚!吹哨者保護法,民進黨政府從2017年司改國是會議作成結論說要定,定到今天,我在院會質詢院長的時候,他告訴我還在研議,結果你們今天交出來的報告,秘書長,你覺得在行政院院長卸任以前,吹哨者保護法的報告提得出來嗎?
gazette.blocks[3][0] 李秘書長孟諺:我的瞭解是,它在今年3月4日有再送到院,羅政委有密集地開會……
gazette.blocks[4][0] 黃委員國昌:我知道你們不斷地在審查啦!我的問題是,5月19日之前提得出來嗎?
gazette.blocks[5][0] 李秘書長孟諺:我們朝這個方向來努力,但是……
gazette.blocks[6][0] 黃委員國昌:但是有困難,是不是?你有困難就說有困難嘛!有沒有困難?
gazette.blocks[7][0] 李秘書長孟諺:我的瞭解是羅政委還在持續地溝通,跟外界……
gazette.blocks[8][0] 黃委員國昌:好,我再問,你說:考量公部門制度較完善,清廉度要求較高,為了尊重公司治理,政策定調為公部門先行,私部門採取行政指導。請問這個政策何時定調、由誰定調?
gazette.blocks[9][0] 李秘書長孟諺:目前我的瞭解是,它的法案內容是以公部門的揭弊者保護作為主軸……
gazette.blocks[10][0] 黃委員國昌:你不用跟我講……
gazette.blocks[11][0] 李秘書長孟諺:私部門的部分,現在……
gazette.blocks[12][0] 黃委員國昌:今天你們提了書面報告到內政委員會來,行政院提這個報告就要負責,說政策定調是公部門先行,私部門再看看,用行政指導。這個政策何時定調、由誰定調?這是我的問題,請回答。
gazette.blocks[13][0] 李秘書長孟諺:我的瞭解是,目前法務部提出來就是這個內容,至於協商的過程,我可能還要再進一步地瞭解。
gazette.blocks[14][0] 黃委員國昌:今天行政院提給立法院的報告,做了這麼重大的政策宣示,到底是由誰定調、何時定調,這件事非常、非常重要。為什麼重要?司改國是會議的結論是,吹哨者保護法的部分是公私部門都要定,還是只要定公部門就好了?是公私部門都要定,還是只要定公部門就好了?
gazette.blocks[15][0] 李秘書長孟諺:據我們的瞭解,當時大家的期待是希望公私部門都能夠有吹哨者……
gazette.blocks[16][0] 黃委員國昌:那不是大家的期待,那是司改國是會議的結論!
gazette.blocks[17][0] 李秘書長孟諺:對,就是司改國是會議裡面與會的期待……
gazette.blocks[18][0] 黃委員國昌:第二個,行政院提出來的聯合國反貪腐公約第二次國家報告裡面,內容說的是公私部門要一起定,還是可以指定公部門?這份報告是你們行政院寫的啊!你們在國家報告裡面敢這樣寫,結果今天送到內政委員會來的報告,政策方向一百八十度大轉彎,誰有這麼大的權限,無視司改國是會議決議的內容?誰有這麼大的權限,把國家反貪腐公約最新的國家報告直接丟到垃圾桶,說我們現在只要定公部門,不要定私部門?所以我才問你,到底是誰做的決定、什麼時候做這個決定、憑什麼做這個決定?
gazette.blocks[19][0] 李秘書長孟諺:並不是私部門就不受監管或是不入法,但這是一個循序漸進的過程,由公部門先行。
gazette.blocks[20][0] 黃委員國昌:你們當初拖了半天,所有的行政官員給搪塞的理由是私部門要訂、範圍要弄多大、是不是適合於上市櫃的公司,問題很複雜,大家還在討論,結果沒有跟社會報告、沒有跟社會溝通,推翻司改國是會議決議的內容,把自己聯合國反貪腐公約的國家報告丟到垃圾桶,做這樣的政策宣示出來,所以我才要問嘛,誰做的政策決定、誰要負責、憑什麼做這個決定?您回去瞭解清楚了以後,請行政院正式發一個新聞稿跟全體國人解釋,可以嗎?
gazette.blocks[21][0] 李秘書長孟諺:我想這個部分並不是把私部門排除在外,這是一個循序漸進的立法過程,公部門先行,如果順利……
gazette.blocks[22][0] 黃委員國昌:你們上面不是寫政策定調,你們現在就是要做公部門嘛!我講白話文,就是私部門沒有在吹哨者保護法的範圍內,我有說錯嗎?
gazette.blocks[23][0] 李秘書長孟諺:對,但是未來不排除會把私部門加進來。
gazette.blocks[24][0] 黃委員國昌:我跟你講,未來的事情就不要再講了,你的未來是多久的未來?
gazette.blocks[25][0] 李秘書長孟諺:公部門先行,如果整個制度順暢,沒有社會的疑慮跟後遺症……
gazette.blocks[26][0] 黃委員國昌:對嘛!所以我還是一樣嘛,公部門先行、私部門不納入的這件事情,誰做了政策決定?基於什麼理由?誰要負責?行政院會後發新聞稿跟全體國人說明,可以嗎?這個要求有很過分嗎?
gazette.blocks[27][0] 李秘書長孟諺:我們可以再來做說明。
gazette.blocks[28][0] 黃委員國昌:好,我接下來要請教你,就是有一個很皮的人叫張綱維,因為你接下來要接交通部部長了嘛。
gazette.blocks[29][0] 李秘書長孟諺:是。
gazette.blocks[30][0] 黃委員國昌:我直接先跟你檢舉,我為什麼說他很皮?2019年遠東航空無預警停飛,被交通部廢證了,當初張綱維政商關係很好,找了「一拖拉庫」人想要幫他解套,看可不可以不要廢證,還去找了廖燦昌來幫他「喬」貸款,現在廖燦昌詐貸的事情,因為遠東航空的事情被起訴,張綱維自己掏空遠航的事情也被起訴。然後我們從檢察官2020年7月的起訴書才發現,有人檢舉張綱維後臺很硬,原來是真的,除了找廖燦昌以外,後面還找了當初行政院副院長林錫耀,檢察官有跟監喔!起訴書裡面的內容,指證歷歷、指證歷歷,張綱維是仗誰的勢啊?行政院副院長幫他出面找廖燦昌搞詐貸,然後自己遠航被廢證以後,現在很皮啊!我今天就要跟準交通部部長檢舉,他很皮啊!松山機場遠航的總部賴著不拆、賴著不拆,還讓我們的交通部去聲請強制執行。秘書長,這件事情你有沒有掌握?
gazette.blocks[31][0] 李秘書長孟諺:這個部分,我大概也是從包括相關的文件跟媒體的報導有所瞭解……
gazette.blocks[32][0] 黃委員國昌:你全部都是從媒體瞭解的?
gazette.blocks[33][0] 李秘書長孟諺:如果就任之後,我會再進一步地深入瞭解。不過我知道這個案子整個是在……
gazette.blocks[34][0] 黃委員國昌:張綱維有沒有跟你提過這件事?
gazette.blocks[35][0] 李秘書長孟諺:整個是在司法審查的階段。
gazette.blocks[36][0] 黃委員國昌:張綱維有沒有跟你提過這件事?
gazette.blocks[37][0] 李秘書長孟諺:沒有。
gazette.blocks[38][0] 黃委員國昌:你認識張綱維嗎?
gazette.blocks[39][0] 李秘書長孟諺:我認識這個人。
gazette.blocks[40][0] 黃委員國昌:你認識這個人?
gazette.blocks[41][0] 李秘書長孟諺:是。
gazette.blocks[42][0] 黃委員國昌:他找你見面的時候都沒有講這件事?
gazette.blocks[43][0] 李秘書長孟諺:沒有。
gazette.blocks[44][0] 黃委員國昌:是沒有見面還是有見面沒有講這件事,說清楚。
gazette.blocks[45][0] 李秘書長孟諺:有一次我在一個朋友的聚餐裡面,知道有這個人的存在。
gazette.blocks[46][0] 黃委員國昌:只有在這個時候知道這個人的存在?
gazette.blocks[47][0] 李秘書長孟諺:是,他……
gazette.blocks[48][0] 黃委員國昌:真的嗎?
gazette.blocks[49][0] 李秘書長孟諺:是。
gazette.blocks[50][0] 黃委員國昌:真的嗎?
gazette.blocks[51][0] 李秘書長孟諺:是。
gazette.blocks[52][0] 黃委員國昌:我現在給你機會講清楚喔!因為現在我們的國會制度不夠齊全,在國會說謊是沒有關係啦,隨便亂講都沒有關係,不用負責任,所以我們現在才在推國會改革,未來在國會的時候,說謊就有責任,這一題我請秘書長回去回想,想清楚喔,你上任交通部部長的時候,我一定會問,我一定會問,今天我先把ground rules鋪好了,請你回去回想清楚,張綱維這一個人在行政院到底是借誰的勢,可以嗎?
gazette.blocks[53][0] 李秘書長孟諺:可以。
gazette.blocks[54][0] 黃委員國昌:好,謝謝。
gazette.blocks[55][0] 主席:謝謝黃國昌委員。
gazette.blocks[55][1] 再來請麥玉珍委員質詢,謝謝。
gazette.agenda.page_end 52
gazette.agenda.meet_id 委員會-11-1-15-13
gazette.agenda.speakers[0] 吳琪銘
gazette.agenda.speakers[1] 張宏陸
gazette.agenda.speakers[2] 黃捷
gazette.agenda.speakers[3] 蘇巧慧
gazette.agenda.speakers[4] 牛煦庭
gazette.agenda.speakers[5] 王美惠
gazette.agenda.speakers[6] 黃建賓
gazette.agenda.speakers[7] 丁學忠
gazette.agenda.speakers[8] 高金素梅
gazette.agenda.speakers[9] 張智倫
gazette.agenda.speakers[10] 李柏毅
gazette.agenda.speakers[11] 徐欣瑩
gazette.agenda.speakers[12] 許宇甄
gazette.agenda.speakers[13] 黃國昌
gazette.agenda.speakers[14] 麥玉珍
gazette.agenda.speakers[15] 莊瑞雄
gazette.agenda.speakers[16] 洪孟楷
gazette.agenda.speakers[17] 鄭天財Sra Kacaw
gazette.agenda.page_start 1
gazette.agenda.meetingDate[0] 2024-04-22
gazette.agenda.gazette_id 1133201
gazette.agenda.agenda_lcidc_ids[0] 1133201_00002
gazette.agenda.meet_name 立法院第11屆第1會期內政委員會第13次全體委員會議紀錄
gazette.agenda.content 一、處理113年度中央政府總預算案有關行政院預算凍結書面報告案計 8案;二、處理113年度中 央政府總預算案有關不當黨產處理委員會預算凍結書面報告案計1案;三、審查113年度中央政府 總預算案有關行政院預算凍結書面報告案計2案;四、審查113年度中央政府總預算案有關不當黨 產處理委員會預算凍結書面報告案計2案
gazette.agenda.agenda_id 1133201_00001
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 3.69284375
transcript.pyannote[0].end 5.85284375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 12.40034375
transcript.pyannote[1].end 12.58596875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 12.97409375
transcript.pyannote[2].end 13.02471875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.02471875
transcript.pyannote[3].end 13.54784375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 14.12159375
transcript.pyannote[4].end 20.48346875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 21.07409375
transcript.pyannote[5].end 23.84159375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 24.73596875
transcript.pyannote[6].end 25.96784375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 25.96784375
transcript.pyannote[7].end 29.25846875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 29.86596875
transcript.pyannote[8].end 32.29596875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 32.90346875
transcript.pyannote[9].end 33.88221875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 34.72596875
transcript.pyannote[10].end 36.98721875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 37.34159375
transcript.pyannote[11].end 39.07971875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 39.72096875
transcript.pyannote[12].end 40.24409375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 40.80096875
transcript.pyannote[13].end 43.21409375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 43.92284375
transcript.pyannote[14].end 48.83346875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 49.32284375
transcript.pyannote[15].end 51.82034375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 52.88346875
transcript.pyannote[16].end 63.24471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 58.18221875
transcript.pyannote[17].end 60.05534375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 60.69659375
transcript.pyannote[18].end 61.16909375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 63.90284375
transcript.pyannote[19].end 67.86846875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 68.34096875
transcript.pyannote[20].end 68.71221875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 68.71221875
transcript.pyannote[21].end 69.85971875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 69.85971875
transcript.pyannote[22].end 71.58096875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 69.89346875
transcript.pyannote[23].end 70.51784375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 71.58096875
transcript.pyannote[24].end 71.81721875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 72.52596875
transcript.pyannote[25].end 73.40346875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 73.97721875
transcript.pyannote[26].end 79.90034375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 78.36471875
transcript.pyannote[27].end 79.49534375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 79.90034375
transcript.pyannote[28].end 79.91721875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 79.93409375
transcript.pyannote[29].end 79.96784375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 79.96784375
transcript.pyannote[30].end 80.03534375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 80.03534375
transcript.pyannote[31].end 80.76096875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 81.08159375
transcript.pyannote[32].end 87.24096875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 87.86534375
transcript.pyannote[33].end 94.96971875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 94.96971875
transcript.pyannote[34].end 95.40846875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 96.42096875
transcript.pyannote[35].end 98.41221875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 98.64846875
transcript.pyannote[36].end 103.20471875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 103.37346875
transcript.pyannote[37].end 109.54971875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 104.20034375
transcript.pyannote[38].end 104.85846875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 105.46596875
transcript.pyannote[39].end 106.47846875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 106.86659375
transcript.pyannote[40].end 110.17409375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 109.95471875
transcript.pyannote[41].end 110.34284375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 110.27534375
transcript.pyannote[42].end 116.11409375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 116.67096875
transcript.pyannote[43].end 119.86034375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 119.96159375
transcript.pyannote[44].end 121.96971875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 122.84721875
transcript.pyannote[45].end 123.64034375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 123.64034375
transcript.pyannote[46].end 123.65721875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 124.23096875
transcript.pyannote[47].end 124.29846875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 124.48409375
transcript.pyannote[48].end 124.50096875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 124.50096875
transcript.pyannote[49].end 125.02409375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 126.18846875
transcript.pyannote[50].end 129.93471875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 130.35659375
transcript.pyannote[51].end 133.91721875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 134.44034375
transcript.pyannote[52].end 134.47409375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 134.47409375
transcript.pyannote[53].end 134.50784375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 134.50784375
transcript.pyannote[54].end 134.60909375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 134.60909375
transcript.pyannote[55].end 134.91284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 134.91284375
transcript.pyannote[56].end 134.96346875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 134.96346875
transcript.pyannote[57].end 134.98034375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 134.98034375
transcript.pyannote[58].end 135.03096875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 135.33471875
transcript.pyannote[59].end 135.35159375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 135.35159375
transcript.pyannote[60].end 136.02659375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 136.02659375
transcript.pyannote[61].end 137.66346875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 137.88284375
transcript.pyannote[62].end 140.16096875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 140.73471875
transcript.pyannote[63].end 145.30784375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 145.44284375
transcript.pyannote[64].end 146.43846875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 147.68721875
transcript.pyannote[65].end 149.56034375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 150.21846875
transcript.pyannote[66].end 152.00721875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 152.19284375
transcript.pyannote[67].end 155.63534375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 156.74909375
transcript.pyannote[68].end 157.96409375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 157.96409375
transcript.pyannote[69].end 160.27596875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 160.64721875
transcript.pyannote[70].end 164.73096875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 164.88284375
transcript.pyannote[71].end 170.89034375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 164.93346875
transcript.pyannote[72].end 166.62096875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 167.32971875
transcript.pyannote[73].end 168.22409375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 169.32096875
transcript.pyannote[74].end 170.09721875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 170.89034375
transcript.pyannote[75].end 175.49721875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 175.66596875
transcript.pyannote[76].end 180.39096875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 180.69471875
transcript.pyannote[77].end 182.23034375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 183.86721875
transcript.pyannote[78].end 185.57159375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 187.39409375
transcript.pyannote[79].end 189.46971875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 190.12784375
transcript.pyannote[80].end 191.15721875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 191.59596875
transcript.pyannote[81].end 194.02596875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 194.54909375
transcript.pyannote[82].end 197.18159375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 198.17721875
transcript.pyannote[83].end 199.86471875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 200.50596875
transcript.pyannote[84].end 201.16409375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 201.48471875
transcript.pyannote[85].end 203.56034375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 204.82596875
transcript.pyannote[86].end 206.42909375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 207.88034375
transcript.pyannote[87].end 214.02284375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 214.56284375
transcript.pyannote[88].end 219.82784375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 220.31721875
transcript.pyannote[89].end 225.22784375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 221.88659375
transcript.pyannote[90].end 223.08471875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 225.22784375
transcript.pyannote[91].end 225.24471875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 225.24471875
transcript.pyannote[92].end 225.97034375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 225.97034375
transcript.pyannote[93].end 226.74659375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 227.03346875
transcript.pyannote[94].end 234.12096875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 232.83846875
transcript.pyannote[95].end 234.18846875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 234.18846875
transcript.pyannote[96].end 236.02784375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 236.02784375
transcript.pyannote[97].end 236.56784375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 236.56784375
transcript.pyannote[98].end 236.60159375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 237.20909375
transcript.pyannote[99].end 237.22596875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 237.22596875
transcript.pyannote[100].end 238.49159375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 239.04846875
transcript.pyannote[101].end 240.33096875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 240.75284375
transcript.pyannote[102].end 241.36034375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 241.90034375
transcript.pyannote[103].end 243.68909375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 244.07721875
transcript.pyannote[104].end 248.00909375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 248.39721875
transcript.pyannote[105].end 249.61221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 250.72596875
transcript.pyannote[106].end 251.26596875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 251.89034375
transcript.pyannote[107].end 253.12221875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 253.84784375
transcript.pyannote[108].end 255.33284375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 255.90659375
transcript.pyannote[109].end 258.50534375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 258.97784375
transcript.pyannote[110].end 259.88909375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 259.97346875
transcript.pyannote[111].end 260.02409375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 260.04096875
transcript.pyannote[112].end 263.60159375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 264.25971875
transcript.pyannote[113].end 266.16659375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 266.33534375
transcript.pyannote[114].end 267.49971875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 268.42784375
transcript.pyannote[115].end 271.33034375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 271.71846875
transcript.pyannote[116].end 273.25409375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 274.09784375
transcript.pyannote[117].end 282.24846875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 283.36221875
transcript.pyannote[118].end 293.63909375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 293.01471875
transcript.pyannote[119].end 294.53346875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 294.53346875
transcript.pyannote[120].end 294.80346875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 294.80346875
transcript.pyannote[121].end 298.26284375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 298.80284375
transcript.pyannote[122].end 298.83659375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 298.83659375
transcript.pyannote[123].end 307.51034375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 306.37971875
transcript.pyannote[124].end 307.71284375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 307.64534375
transcript.pyannote[125].end 307.96596875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 307.96596875
transcript.pyannote[126].end 309.46784375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 310.63221875
transcript.pyannote[127].end 316.84221875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 314.39534375
transcript.pyannote[128].end 314.85096875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 315.00284375
transcript.pyannote[129].end 316.63971875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 316.84221875
transcript.pyannote[130].end 316.89284375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 316.89284375
transcript.pyannote[131].end 317.93909375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 316.94346875
transcript.pyannote[132].end 322.42784375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 322.91721875
transcript.pyannote[133].end 324.94221875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 325.12784375
transcript.pyannote[134].end 327.30471875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 327.69284375
transcript.pyannote[135].end 329.49846875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 329.97096875
transcript.pyannote[136].end 331.64159375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 331.64159375
transcript.pyannote[137].end 331.67534375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 332.01284375
transcript.pyannote[138].end 337.02471875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 337.02471875
transcript.pyannote[139].end 337.04159375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 337.04159375
transcript.pyannote[140].end 337.09221875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 337.09221875
transcript.pyannote[141].end 339.31971875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 340.11284375
transcript.pyannote[142].end 342.67784375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 343.09971875
transcript.pyannote[143].end 345.74909375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 346.39034375
transcript.pyannote[144].end 347.95971875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 348.41534375
transcript.pyannote[145].end 351.75659375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 352.11096875
transcript.pyannote[146].end 354.01784375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 354.45659375
transcript.pyannote[147].end 354.65909375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 355.08096875
transcript.pyannote[148].end 355.75596875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 356.27909375
transcript.pyannote[149].end 357.13971875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 357.54471875
transcript.pyannote[150].end 359.13096875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 359.80596875
transcript.pyannote[151].end 361.08846875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 361.76346875
transcript.pyannote[152].end 362.89409375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 363.51846875
transcript.pyannote[153].end 364.54784375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 365.02034375
transcript.pyannote[154].end 366.62346875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 367.43346875
transcript.pyannote[155].end 368.39534375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 369.84659375
transcript.pyannote[156].end 371.31471875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 372.10784375
transcript.pyannote[157].end 373.39034375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 373.91346875
transcript.pyannote[158].end 375.02721875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 375.41534375
transcript.pyannote[159].end 378.90846875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 379.88721875
transcript.pyannote[160].end 383.07659375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 383.46471875
transcript.pyannote[161].end 384.71346875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 385.37159375
transcript.pyannote[162].end 390.21471875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 391.24409375
transcript.pyannote[163].end 392.12159375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 392.69534375
transcript.pyannote[164].end 394.36596875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 395.24346875
transcript.pyannote[165].end 396.23909375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 397.50471875
transcript.pyannote[166].end 399.73221875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 400.17096875
transcript.pyannote[167].end 404.55846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 405.19971875
transcript.pyannote[168].end 406.19534375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 406.53284375
transcript.pyannote[169].end 407.44409375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 408.35534375
transcript.pyannote[170].end 410.43096875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 410.66721875
transcript.pyannote[171].end 411.89909375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 412.25346875
transcript.pyannote[172].end 413.19846875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 413.92409375
transcript.pyannote[173].end 414.88596875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 415.35846875
transcript.pyannote[174].end 416.69159375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 417.55221875
transcript.pyannote[175].end 418.90221875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 419.45909375
transcript.pyannote[176].end 420.33659375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 421.12971875
transcript.pyannote[177].end 422.22659375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 423.12096875
transcript.pyannote[178].end 424.03221875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 425.01096875
transcript.pyannote[179].end 425.87159375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 426.20909375
transcript.pyannote[180].end 429.58409375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 429.80346875
transcript.pyannote[181].end 433.97159375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 434.49471875
transcript.pyannote[182].end 438.17346875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 438.89909375
transcript.pyannote[183].end 439.84409375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 440.33346875
transcript.pyannote[184].end 441.98721875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 442.13909375
transcript.pyannote[185].end 443.77596875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 444.83909375
transcript.pyannote[186].end 446.88096875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 448.04534375
transcript.pyannote[187].end 448.41659375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 449.09159375
transcript.pyannote[188].end 454.89659375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 455.25096875
transcript.pyannote[189].end 458.27159375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 455.53784375
transcript.pyannote[190].end 455.97659375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 458.52471875
transcript.pyannote[191].end 469.03784375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 463.90784375
transcript.pyannote[192].end 464.76846875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 467.94096875
transcript.pyannote[193].end 468.17721875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 469.03784375
transcript.pyannote[194].end 469.61159375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 469.61159375
transcript.pyannote[195].end 469.67909375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 469.67909375
transcript.pyannote[196].end 469.69596875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 469.74659375
transcript.pyannote[197].end 470.30346875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 470.30346875
transcript.pyannote[198].end 470.97846875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 470.97846875
transcript.pyannote[199].end 471.43409375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 471.43409375
transcript.pyannote[200].end 471.50159375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 471.99096875
transcript.pyannote[201].end 475.33221875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 476.12534375
transcript.pyannote[202].end 478.48784375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 479.34846875
transcript.pyannote[203].end 479.85471875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 480.19221875
transcript.pyannote[204].end 483.36471875
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 483.87096875
transcript.pyannote[205].end 484.39409375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 484.95096875
transcript.pyannote[206].end 492.19034375
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 492.02159375
transcript.pyannote[207].end 494.36721875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 492.20721875
transcript.pyannote[208].end 493.21971875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 494.36721875
transcript.pyannote[209].end 495.02534375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 495.02534375
transcript.pyannote[210].end 495.81846875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 495.26159375
transcript.pyannote[211].end 495.76784375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 496.47659375
transcript.pyannote[212].end 496.72971875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 496.72971875
transcript.pyannote[213].end 497.77596875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 498.16409375
transcript.pyannote[214].end 504.52596875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 504.72846875
transcript.pyannote[215].end 504.86346875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 504.86346875
transcript.pyannote[216].end 507.02346875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 507.32721875
transcript.pyannote[217].end 509.89221875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 510.29721875
transcript.pyannote[218].end 512.38971875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 512.44034375
transcript.pyannote[219].end 512.77784375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 512.77784375
transcript.pyannote[220].end 512.82846875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 512.84534375
transcript.pyannote[221].end 513.70596875
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 514.24596875
transcript.pyannote[222].end 515.42721875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 516.01784375
transcript.pyannote[223].end 517.28346875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 517.97534375
transcript.pyannote[224].end 520.35471875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 520.60784375
transcript.pyannote[225].end 521.63721875
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 521.80596875
transcript.pyannote[226].end 524.52284375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 524.97846875
transcript.pyannote[227].end 526.10909375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 526.53096875
transcript.pyannote[228].end 528.60659375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 528.94409375
transcript.pyannote[229].end 529.55159375
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 529.83846875
transcript.pyannote[230].end 530.10846875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 530.10846875
transcript.pyannote[231].end 532.08284375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 532.60596875
transcript.pyannote[232].end 533.88846875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 534.24284375
transcript.pyannote[233].end 536.92596875
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 538.00596875
transcript.pyannote[234].end 538.83284375
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 540.95909375
transcript.pyannote[235].end 544.68846875
transcript.whisperx[0].start 4.22
transcript.whisperx[0].end 28.612
transcript.whisperx[0].text 來,謝謝主席,麻煩有請秘書長。委員好。秘書長好,今天行政院預算的結論報告裡面提到有關於追悼者保護法的事情。我看了報告,我必須要說,我非常震驚。追悼者保護法,民進黨政府從2017年,從2017年,撕改國事會議,做成結論說要定,
transcript.whisperx[1].start 32.967
transcript.whisperx[1].end 51.367
transcript.whisperx[1].text 定到今天我在院會質詢院長的時候他告訴我還在研議結果你們今天交出來的報告你們今天交出來的報告是秘書長你覺得在行政院院長卸任以前吹哨者保護法的報告提的出來嗎?
transcript.whisperx[2].start 53.438
transcript.whisperx[2].end 71.068
transcript.whisperx[2].text 我的了解是他在今年的3月4號有再送到院。我知道,我們不斷地在審查啦。我的問題5月19號之前提得出來嗎?我想我們朝這個方向來努力,但是...但是有困難是不是?沒有困難就說有困難嘛!
transcript.whisperx[3].start 72.591
transcript.whisperx[3].end 94.148
transcript.whisperx[3].text 有沒有困難?呃我的了解是羅政委還在持續的呃溝通我再問你說考量公部門制度較完善清廉度要求較高為了尊重公司治理政策定調為公部門先行私部門採取行政指導請問這個政策何時定調?由誰定調?
transcript.whisperx[4].start 97.068
transcript.whisperx[4].end 120.655
transcript.whisperx[4].text 目前我的了解是他的法案的內容是以公部門的接避者保護做為主頭你不用跟我講今天你們提了書面報告到內政委員會來嘛行政院提這個報告就要負責嘛說政策定調是公部門先行私部門再看看用行政指導這個政策何時定調由誰定調
transcript.whisperx[5].start 123.001
transcript.whisperx[5].end 146.19
transcript.whisperx[5].text 這是我的問題請回答我的了解是目前法務部提出來就是這個內容那至於這個協商的過程我可能還要再進一步的了解今天行政院提給立法院的報告做了這麼重大的政策宣示到底是由誰定調何時定調這件事非常非常重要為什麼重要
transcript.whisperx[6].start 147.768
transcript.whisperx[6].end 155.458
transcript.whisperx[6].text 思改國事會議的結論崔少哲保護法的部分是公司部門都要定還是只要定公部門就好了?
transcript.whisperx[7].start 156.809
transcript.whisperx[7].end 185.496
transcript.whisperx[7].text 是公司部門都要定還是只要定公部門就好了我們的瞭解當時大家的期待是希望公司部門都能夠有配照品那不是大家的期待啦那是思改國際會議的結論啦思改國際會議的期待行政院提出來的聯合國反貪腐公約第二次國家報告裡面報告的內容說要定的是公司部門要一起定還是可以只定公部門這報告是你們行政院寫的啊
transcript.whisperx[8].start 187.435
transcript.whisperx[8].end 199.584
transcript.whisperx[8].text 你們在國家報告裡面敢這樣寫結果今天送到內政委員會來的報告政策方向180度大轉彎欸誰有這麼大的權限無視施改國是會議決議的內容誰有這麼大的權限
transcript.whisperx[9].start 207.898
transcript.whisperx[9].end 236.138
transcript.whisperx[9].text 把國家反貪腐公約的國家報告最新的國家報告直接丟到垃圾桶所以我們現在只要訂公部門不要訂私部門所以我才問你嘛所以我才問你嘛到底是誰做的決定什麼時候做這個決定憑什麼做這個決定並不是私部門就不受監管或是不入法但是這是一個循序漸進的過程因為當初拖了半天所有的行政官員
transcript.whisperx[10].start 237.459
transcript.whisperx[10].end 249.018
transcript.whisperx[10].text 給唐賽的理由是私部門要定範圍要弄多大是不是限於上市櫃的公司問題很複雜大家還在討論
transcript.whisperx[11].start 251.062
transcript.whisperx[11].end 270.168
transcript.whisperx[11].text 結果沒有跟社會報告沒有跟社會溝通推翻撕改國事會議決議的內容把自己聯合國反貪腐公約的國家報告丟到垃圾桶做這樣的政策宣示出來所以我才要問嘛誰做的政策決定誰要負責憑什麼做這個決定
transcript.whisperx[12].start 274.141
transcript.whisperx[12].end 281.911
transcript.whisperx[12].text 您回去了解清楚了以後請行政院正式發一個新聞稿跟全體國人解釋可以嗎?
transcript.whisperx[13].start 283.407
transcript.whisperx[13].end 309.333
transcript.whisperx[13].text 我想這個部分就是他並不是把私部門排除在外而是這是一個循序漸進的立法的過程公部門先行那如果順利你們上面不是寫嗎對政策定調你們現在就是要做公部門嘛我講白話我就是私部門的沒有在吹哨子保護法的範圍內嘛我有說錯嗎對但是未來不排除會把私部門加進來我跟你講未來的事情就不要再講了啦
transcript.whisperx[14].start 310.68
transcript.whisperx[14].end 315.723
transcript.whisperx[14].text 二、處理113年度中央政府總預算案有關行政院預算凍結書面報告案計2案。我接下來要請教你就是說有一個很皮的人叫張剛偉
transcript.whisperx[15].start 340.334
transcript.whisperx[15].end 368.02
transcript.whisperx[15].text 因為你接下來要接交通部部長了嘛我直接先跟你檢舉阿我為什麼說阿他很皮2019年遠東航空無預警停飛被交通部廢證了當初張剛維阿政商關係很好找了一堆阿股人想要幫他來去解套看可不可以不要廢證然後呢
transcript.whisperx[16].start 370.055
transcript.whisperx[16].end 396.164
transcript.whisperx[16].text 還去找了廖燦昌來幫他喬貸款現在廖燦昌炸彈的事情因為遠東航空的事情被起訴囉張剛維自己偷空遠航的事情也被起訴囉然後我們從檢察官2020年7月的起訴書才發現有人檢舉張剛維後台很硬啊原來是真的啊
transcript.whisperx[17].start 397.554
transcript.whisperx[17].end 423.491
transcript.whisperx[17].text 除了找廖燦昌以外後面還找了當初行政院的副院長林錫耀檢察官有跟監喔起訴書裡面的內容指證歷例指證歷例張剛維是仗誰的事啊行政院副院長幫他出面找廖燦昌搞炸彈
transcript.whisperx[18].start 425.083
transcript.whisperx[18].end 446.682
transcript.whisperx[18].text 然後什麼然後是遠航被廢證了以後現在很皮阿我今天就是要跟準交通部部長檢舉阿他很皮阿雙山機場遠航的總部阿賴著不拆賴著不拆還讓我們的交通部阿去申請強制執行秘書長這件事情你有沒有掌握
transcript.whisperx[19].start 449.35
transcript.whisperx[19].end 470.645
transcript.whisperx[19].text 這個部分我大概也是從包括相關的文件跟媒體的報導有所瞭解你全部都是從媒體瞭解的目前的那如果就任之後我會再進一步的深入瞭解不過我知道這個案子整個是在張崗偉沒有跟你提過這件事整個是在司法的審查的階段張崗偉沒有跟你提過這件事沒有你認識張崗偉嗎我認識這個人你認識這個人是
transcript.whisperx[20].start 476.161
transcript.whisperx[20].end 479.382
transcript.whisperx[20].text 三、審查113年度中央政府總預算案有關行政院預算凍結書面報告案計2案。厲
transcript.whisperx[21].start 498.7
transcript.whisperx[21].end 523.996
transcript.whisperx[21].text 我現在給你機會講清楚喔因為現在我們的國會制度不夠齊全啦在國會說謊是沒有關係啦隨便亂講都沒有關係不用負責任啦所以我們現在才在推國會改革嘛未來在國會的時候說謊就有責任喔這一題我請秘書長回去回想想清楚喔你上任交通部部長的時候我一定會問
transcript.whisperx[22].start 525.117
transcript.whisperx[22].end 542.05
transcript.whisperx[22].text 我一定會問今天我先把光入了鋪好了是請你回去回想清楚張剛維這個人在行政院到底是借誰的事可以嗎可以好謝謝好謝謝黃國昌委員再來請麥玉珍委員質詢謝謝