IVOD_ID |
153399 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/153399 |
日期 |
2024-05-30 |
會議資料.會議代碼 |
委員會-11-1-20-15 |
會議資料.會議代碼:str |
第11屆第1會期財政委員會第15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 |
15 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第1會期財政委員會第15次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-05-30T11:50:03+08:00 |
結束時間 |
2024-05-30T12:01:26+08:00 |
影片長度 |
00:11:23 |
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/bbbc431469b8aebaec0db872aa51cd134622ddde1e3527b9446d6a815e9137447884b307e7568acc5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅明才 |
委員發言時間 |
11:50:03 - 12:01:26 |
會議時間 |
2024-05-30T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期財政委員會第15次全體委員會議(事由:邀請財政部莊部長翠雲、金融監督管理委員會彭主任委員金隆率所屬相關單位就「如何精進ESG制度評鑑、永續報告書及公司治理評鑑制度,並導引金融機構落實放貸及貸後管理工作」進行專題報告,並備質詢。) |
gazette.lineno |
761 |
gazette.blocks[0][0] |
羅委員明才:(11時49分)主席、各位委員、出列席官員,大家好。有請彭主委和莊部長。 |
gazette.blocks[1][0] |
主席:有請彭主委、莊部長。 |
gazette.blocks[2][0] |
莊部長翠雲:委員好。 |
gazette.blocks[3][0] |
羅委員明才:部長好,其實我們都希望ESG永續的發展,但是在普惠金融這一塊,我想最近很多委員也跟本席一樣非常關心,我們發現整個金融的發展和布局,大概總歸來講就是肥了大企業,瘦了小老百姓。的確,很多的民眾因為M型化社會的來臨,辛苦了非常多,舉個例子,股市現在都已經漲到2萬點,站穩2萬多點,可是真正賺錢的行業大概百分比有多少,你們有沒有算過?當股市到2萬點的時候,我們發現傳產的一些特別傳統的夕陽產業也好,或者過去即將要淘汰的產業也好,以前是毛三到四,現在不要虧錢就不得了了。不曉得主委有沒有發現這樣的情況? |
gazette.blocks[4][0] |
彭主任委員金隆:我了解一下狀況。 |
gazette.blocks[5][0] |
羅委員明才:因為主委剛上任,其實身負重任,我們希望社會和諧,永續是把國家的資源平均照顧到每個人身上,我知道很辛苦,企業也是講求利潤,但是不要忘記了,沒有過去的努力、沒有過去的農民、沒有過去的傳統產業撐起臺灣一片天,這些好的電子公司也不會有今天的成就啊!當我們看到AI時代來臨時,我們看到Jensen黃回到臺灣,我們看到很感動,因為他是臺灣囝仔、臺南人,不只他,蘇姿丰、第4名的Charles(梁見後),全部都是臺灣人,臺北工專畢業的,這都不容易,但是提醒主委和部長,當他們撐起一片天,總市值接近3兆美金的時候,我們要主動的跟他們聯絡,請他們有機會不要忘了臺灣這個地方,生他、養他、育他的地方,多多給臺灣機會,特別應該多給臺灣的年青人機會。請問部長,八大公股銀行裡面,平均年齡是多少? |
gazette.blocks[6][0] |
莊部長翠雲:平均年齡我手邊目前沒有資料,會後送給委員。 |
gazette.blocks[7][0] |
羅委員明才:這也是請兩位上來的原因之一,我們一些公股銀行不斷老化,呈現的就是老葉凋零,都是一些老人,反而我們看到一些新興的金融產業年青人很多,包括電商交易也好,包括FinTech,沙盒裡面都是一些年青人,可是我發現政府政策都是導入過去的老思維比較多,過去怎麼做,就是照本宣科。所有的銀行董、總,永遠都沒有求新求變,更遑論永續經營的思想。請教主委,國外的數據來說,整個GDP裡面金融的分配占比大概是怎麼樣? |
gazette.blocks[8][0] |
彭主任委員金隆:我所掌握的資料,臺灣現在大概占GDP的6%左右,加上其他周邊可能將近2位數。 |
gazette.blocks[9][0] |
羅委員明才:所以從2位數的成長我們就發現臺灣的金融要加油。莊部長,金融營業稅從5%調降到2%,或者外界解讀的3%,什麼時候開始推動? |
gazette.blocks[10][0] |
莊部長翠雲:金融營業稅的部分其實就是銀行業和保險業的本業部分,其他的部分目前大致都是2%,至於這兩業要不要調整,我們跟金管會都在充分討論當中。 |
gazette.blocks[11][0] |
羅委員明才:你們兩位現在都在,你們馬上討論啊!那麼簡單,就是要降到3%或2%,你們彼此有沒有加LINE? |
gazette.blocks[12][0] |
莊部長翠雲:我們會…… |
gazette.blocks[13][0] |
羅委員明才:你們把所有數字一傳,那麼大的官員見面就是政策方向,要不要定案、省下來的稅金要做什麼使用、是不是多加強整個金融人員的訓練,或者多多鼓勵銀行加薪。 |
gazette.blocks[14][0] |
莊部長翠雲:委員的建議很好,我們都會納入考量。 |
gazette.blocks[15][0] |
羅委員明才:剛剛有提到華南金控也好、合庫金控也好,它們在公股銀行表現算中上、前段班,可是你知道它們跟富邦、國泰和一些外商銀行的薪水差了多少?舉例來說,像合庫董事長1個月薪水大概多少? |
gazette.blocks[16][0] |
莊部長翠雲:我不曉得他1個月薪水多少。 |
gazette.blocks[17][0] |
羅委員明才:他人在啊!你馬上問就知道了。你不知道,那我請教你,星展銀行新加坡的總經理、董事長1個月薪水多少? |
gazette.blocks[18][0] |
莊部長翠雲:一定比我們高。 |
gazette.blocks[19][0] |
羅委員明才:高多少? |
gazette.blocks[20][0] |
莊部長翠雲:不知道。 |
gazette.blocks[21][0] |
羅委員明才:你要知道整個市場的變化,才知道應該怎麼選任新的人來擔任新的事務。部長,最近已經到6、7月,公股銀行有幾家準備要進行董事長、總經理的改選? |
gazette.blocks[22][0] |
莊部長翠雲:今年會有3家。 |
gazette.blocks[23][0] |
羅委員明才:哪3家? |
gazette.blocks[24][0] |
莊部長翠雲:兆豐、第一和臺企銀會改選。 |
gazette.blocks[25][0] |
羅委員明才:會不會換人? |
gazette.blocks[26][0] |
莊部長翠雲:它們會在6月21日召開股東會。 |
gazette.blocks[27][0] |
羅委員明才:已經到了啊!再過幾天就端午節了。 |
gazette.blocks[28][0] |
莊部長翠雲:也跟委員報告,在金融機構裡面,我們要有相當的資歷、相當的經驗來帶領我們公股行庫的經營,當然我們對新血也非常重視,我們也都會吸收多一些新血,讓更有專業、更有活力的年青人可以進到公股金融事業,我覺得這兩方面都不可偏廢,兩個都非常重要,我們的公股金融事業在創新思維上也不會落後。 |
gazette.blocks[29][0] |
羅委員明才:剛講的這3家金控公司董總會不會換人? |
gazette.blocks[30][0] |
莊部長翠雲:第一,名單先提列出來,到時候還要等大會決議。 |
gazette.blocks[31][0] |
羅委員明才:你能不能把名單讓我看一下? |
gazette.blocks[32][0] |
莊部長翠雲:可以,都有公告啊! |
gazette.blocks[33][0] |
羅委員明才:請國會聯絡人拿給我。 |
gazette.blocks[34][0] |
莊部長翠雲:會後也可以提供給委員,沒問題。 |
gazette.blocks[35][0] |
羅委員明才:兆豐表現得好不好? |
gazette.blocks[36][0] |
莊部長翠雲:兆豐表現得不錯。 |
gazette.blocks[37][0] |
羅委員明才:表現得好,需要把他換掉嗎? |
gazette.blocks[38][0] |
莊部長翠雲:有提名單,目前還是林董事長。 |
gazette.blocks[39][0] |
羅委員明才:林董會繼續做? |
gazette.blocks[40][0] |
莊部長翠雲:這個部分還是要等到整個大會…… |
gazette.blocks[41][0] |
羅委員明才:一銀的金控董事長呢? |
gazette.blocks[42][0] |
莊部長翠雲:第一金控目前是邱董事長。 |
gazette.blocks[43][0] |
羅委員明才:表現得好不好? |
gazette.blocks[44][0] |
莊部長翠雲:也很好。 |
gazette.blocks[45][0] |
羅委員明才:你有沒有問他要不要繼續擔任? |
gazette.blocks[46][0] |
莊部長翠雲:我沒有問他。 |
gazette.blocks[47][0] |
羅委員明才:他也在,你馬上問一下。時間暫停,問一下,還是等一下再問?還有哪一家? |
gazette.blocks[48][0] |
莊部長翠雲:等一下再問,他上來是要回答委員問題,不是回答我的問題。 |
gazette.blocks[49][0] |
羅委員明才:人事是你決定,如果我決定,我馬上就說繼續留任,因為他以前在新加坡待過,而且表現也非常好,非常的圓融,企業大家都很稱讚他。 |
gazette.blocks[50][0] |
莊部長翠雲:謝謝委員的肯定,他表現很好。 |
gazette.blocks[51][0] |
羅委員明才:而且賺錢賺很多,一銀旗下一銀證券都已經破紀錄,EPS都創新高,都很好的人選。還有哪一家? |
gazette.blocks[52][0] |
莊部長翠雲:臺企銀。 |
gazette.blocks[53][0] |
羅委員明才:臺企銀董事長是誰? |
gazette.blocks[54][0] |
莊部長翠雲:劉董事長。 |
gazette.blocks[55][0] |
羅委員明才:總經理做的好不好? |
gazette.blocks[56][0] |
莊部長翠雲:他們都有非常豐富的經驗。 |
gazette.blocks[57][0] |
羅委員明才:臺企銀過去快要瀕臨7塊、6塊,已經是10塊保衛戰,你知道現在漲到多少錢? |
gazette.blocks[58][0] |
莊部長翠雲:去年的表現也非常好。 |
gazette.blocks[59][0] |
羅委員明才:好得不得了,以前林謙浩每天沒日沒夜的工作,到了10點,我問他為什麼還不下班?他說他一定要把臺企銀帶動起來,所以當林董事長調到合庫,因為太累了生病而過世,我心裡覺得非常捨不得。 |
gazette.blocks[60][0] |
莊部長翠雲:是,非常遺憾。 |
gazette.blocks[61][0] |
羅委員明才:拜託部長,好的人選要多多鼓勵,鼓勵他們要多栽培一些年青人。 |
gazette.blocks[62][0] |
莊部長翠雲:會的。 |
gazette.blocks[63][0] |
羅委員明才:先讓平均年齡低一點,我認識的金融機構有一家平均年齡居然才27、28歲,不過是電商。主委,我們把門打開,你第一天來的時候大家寄予眾望,希望你帶動整個產業蓬勃發展,過去大概幾個字可以形容,保守有餘,開創不足,希望在主委的領導之下,可以讓大家看到亮眼的成果,好不好?謝謝。 |
gazette.blocks[64][0] |
莊部長翠雲:謝謝委員。 |
gazette.blocks[65][0] |
主席:謝謝羅明才委員的質詢。 |
gazette.blocks[65][1] |
接著請陳玉珍委員質詢,我們也開放現場用餐。 |
gazette.agenda.page_end |
274 |
gazette.agenda.meet_id |
委員會-11-1-20-15 |
gazette.agenda.speakers[0] |
郭國文 |
gazette.agenda.speakers[1] |
林德福 |
gazette.agenda.speakers[2] |
吳秉叡 |
gazette.agenda.speakers[3] |
賴士葆 |
gazette.agenda.speakers[4] |
王鴻薇 |
gazette.agenda.speakers[5] |
顏寬恒 |
gazette.agenda.speakers[6] |
賴惠員 |
gazette.agenda.speakers[7] |
李坤城 |
gazette.agenda.speakers[8] |
李彥秀 |
gazette.agenda.speakers[9] |
黃珊珊 |
gazette.agenda.speakers[10] |
伍麗華Saidhai‧Tahovecahe |
gazette.agenda.speakers[11] |
王世堅 |
gazette.agenda.speakers[12] |
羅明才 |
gazette.agenda.speakers[13] |
陳玉珍 |
gazette.agenda.speakers[14] |
黃國昌 |
gazette.agenda.speakers[15] |
鍾佳濱 |
gazette.agenda.speakers[16] |
林楚茵 |
gazette.agenda.speakers[17] |
邱志偉 |
gazette.agenda.speakers[18] |
張智倫 |
gazette.agenda.speakers[19] |
楊瓊瓔 |
gazette.agenda.speakers[20] |
蔡易餘 |
gazette.agenda.page_start |
209 |
gazette.agenda.meetingDate[0] |
2024-05-30 |
gazette.agenda.gazette_id |
1135401 |
gazette.agenda.agenda_lcidc_ids[0] |
1135401_00009 |
gazette.agenda.meet_name |
立法院第11屆第1會期財政委員會第15次全體委員會議紀錄 |
gazette.agenda.content |
邀請財政部莊部長翠雲、金融監督管理委員會彭主任委員金隆率所屬相關單位就「如何精進 ESG
制度評鑑,並導引金融機構落實放貸及貸後管理工作」進行專題報告,並備質詢 |
gazette.agenda.agenda_id |
1135401_00010 |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.06471875 |
transcript.pyannote[0].end |
1.66784375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
6.52784375 |
transcript.pyannote[1].end |
7.03409375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
8.02971875 |
transcript.pyannote[2].end |
8.60346875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
9.39659375 |
transcript.pyannote[3].end |
13.83471875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
14.39159375 |
transcript.pyannote[4].end |
18.44159375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
18.61034375 |
transcript.pyannote[5].end |
23.90909375 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
24.87096875 |
transcript.pyannote[6].end |
28.53284375 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
29.05596875 |
transcript.pyannote[7].end |
29.57909375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
30.11909375 |
transcript.pyannote[8].end |
31.14846875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
31.53659375 |
transcript.pyannote[9].end |
33.42659375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
34.25346875 |
transcript.pyannote[10].end |
35.87346875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
36.63284375 |
transcript.pyannote[11].end |
37.13909375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
38.03346875 |
transcript.pyannote[12].end |
42.33659375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
43.12971875 |
transcript.pyannote[13].end |
44.74971875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
45.61034375 |
transcript.pyannote[14].end |
46.30221875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
47.39909375 |
transcript.pyannote[15].end |
47.77034375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
48.37784375 |
transcript.pyannote[16].end |
49.17096875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
49.55909375 |
transcript.pyannote[17].end |
50.31846875 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
50.63909375 |
transcript.pyannote[18].end |
54.04784375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
54.38534375 |
transcript.pyannote[19].end |
57.28784375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
57.50721875 |
transcript.pyannote[20].end |
60.29159375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
61.72596875 |
transcript.pyannote[21].end |
63.70034375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
64.40909375 |
transcript.pyannote[22].end |
65.38784375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
66.02909375 |
transcript.pyannote[23].end |
67.49721875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
68.15534375 |
transcript.pyannote[24].end |
68.91471875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
69.25221875 |
transcript.pyannote[25].end |
69.85971875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
70.09596875 |
transcript.pyannote[26].end |
70.82159375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
71.19284375 |
transcript.pyannote[27].end |
72.01971875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
72.40784375 |
transcript.pyannote[28].end |
73.31909375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
74.17971875 |
transcript.pyannote[29].end |
77.13284375 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
78.09471875 |
transcript.pyannote[30].end |
80.52471875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
81.01409375 |
transcript.pyannote[31].end |
82.73534375 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
83.89971875 |
transcript.pyannote[32].end |
85.48596875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
85.55346875 |
transcript.pyannote[33].end |
87.19034375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
89.78909375 |
transcript.pyannote[34].end |
91.74659375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
92.79284375 |
transcript.pyannote[35].end |
96.99471875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
97.56846875 |
transcript.pyannote[36].end |
100.38659375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
101.07846875 |
transcript.pyannote[37].end |
101.53409375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
101.83784375 |
transcript.pyannote[38].end |
102.83346875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
102.96846875 |
transcript.pyannote[39].end |
104.80784375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
105.39846875 |
transcript.pyannote[40].end |
107.49096875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
109.88721875 |
transcript.pyannote[41].end |
110.76471875 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
111.38909375 |
transcript.pyannote[42].end |
112.75596875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
114.03846875 |
transcript.pyannote[43].end |
114.51096875 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
114.98346875 |
transcript.pyannote[44].end |
115.74284375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
116.16471875 |
transcript.pyannote[45].end |
122.88096875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
123.69096875 |
transcript.pyannote[46].end |
125.95221875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
126.35721875 |
transcript.pyannote[47].end |
128.16284375 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
129.20909375 |
transcript.pyannote[48].end |
130.13721875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
130.47471875 |
transcript.pyannote[49].end |
131.55471875 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
131.80784375 |
transcript.pyannote[50].end |
132.78659375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
133.79909375 |
transcript.pyannote[51].end |
134.62596875 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
134.96346875 |
transcript.pyannote[52].end |
135.50346875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
135.97596875 |
transcript.pyannote[53].end |
136.36409375 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
136.70159375 |
transcript.pyannote[54].end |
138.20346875 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
138.89534375 |
transcript.pyannote[55].end |
140.12721875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
141.15659375 |
transcript.pyannote[56].end |
141.88221875 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
142.18596875 |
transcript.pyannote[57].end |
143.58659375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
144.22784375 |
transcript.pyannote[58].end |
145.03784375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
145.56096875 |
transcript.pyannote[59].end |
147.61971875 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
148.12596875 |
transcript.pyannote[60].end |
150.47159375 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
151.14659375 |
transcript.pyannote[61].end |
154.11659375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
155.01096875 |
transcript.pyannote[62].end |
155.93909375 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
157.17096875 |
transcript.pyannote[63].end |
157.72784375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
158.23409375 |
transcript.pyannote[64].end |
159.65159375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
160.91721875 |
transcript.pyannote[65].end |
162.95909375 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
163.60034375 |
transcript.pyannote[66].end |
164.83221875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
165.50721875 |
transcript.pyannote[67].end |
168.56159375 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
169.69221875 |
transcript.pyannote[68].end |
171.91971875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
172.71284375 |
transcript.pyannote[69].end |
176.18909375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
177.26909375 |
transcript.pyannote[70].end |
179.44596875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
180.03659375 |
transcript.pyannote[71].end |
182.11221875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
182.83784375 |
transcript.pyannote[72].end |
183.81659375 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
184.08659375 |
transcript.pyannote[73].end |
186.63471875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
187.98471875 |
transcript.pyannote[74].end |
188.38971875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
189.09846875 |
transcript.pyannote[75].end |
189.48659375 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
189.97596875 |
transcript.pyannote[76].end |
191.30909375 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
192.00096875 |
transcript.pyannote[77].end |
194.17784375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
194.36346875 |
transcript.pyannote[78].end |
196.21971875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
198.27846875 |
transcript.pyannote[79].end |
204.10034375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
204.42096875 |
transcript.pyannote[80].end |
207.66096875 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
208.30221875 |
transcript.pyannote[81].end |
210.02346875 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
210.52971875 |
transcript.pyannote[82].end |
212.28471875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
213.48284375 |
transcript.pyannote[83].end |
214.42784375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
215.20409375 |
transcript.pyannote[84].end |
215.74409375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
216.63846875 |
transcript.pyannote[85].end |
217.88721875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
218.83221875 |
transcript.pyannote[86].end |
219.81096875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
221.07659375 |
transcript.pyannote[87].end |
223.06784375 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
223.60784375 |
transcript.pyannote[88].end |
224.90721875 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
225.66659375 |
transcript.pyannote[89].end |
226.91534375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
227.89409375 |
transcript.pyannote[90].end |
229.32846875 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
230.12159375 |
transcript.pyannote[91].end |
230.62784375 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
231.50534375 |
transcript.pyannote[92].end |
232.09596875 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
233.47971875 |
transcript.pyannote[93].end |
235.92659375 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
236.60159375 |
transcript.pyannote[94].end |
237.42846875 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
238.54221875 |
transcript.pyannote[95].end |
240.24659375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
241.09034375 |
transcript.pyannote[96].end |
242.62596875 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
242.87909375 |
transcript.pyannote[97].end |
244.29659375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
245.12346875 |
transcript.pyannote[98].end |
246.23721875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
246.79409375 |
transcript.pyannote[99].end |
248.14409375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
248.86971875 |
transcript.pyannote[100].end |
249.84846875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
250.15221875 |
transcript.pyannote[101].end |
251.21534375 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
252.00846875 |
transcript.pyannote[102].end |
252.49784375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
252.97034375 |
transcript.pyannote[103].end |
254.48909375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
255.87284375 |
transcript.pyannote[104].end |
256.51409375 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
257.52659375 |
transcript.pyannote[105].end |
259.53471875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
260.44596875 |
transcript.pyannote[106].end |
260.86784375 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
261.54284375 |
transcript.pyannote[107].end |
262.57221875 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
264.19221875 |
transcript.pyannote[108].end |
265.79534375 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
266.89221875 |
transcript.pyannote[109].end |
268.27596875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
268.76534375 |
transcript.pyannote[110].end |
269.59221875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
269.74409375 |
transcript.pyannote[111].end |
270.77346875 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
271.38096875 |
transcript.pyannote[112].end |
272.39346875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
273.59159375 |
transcript.pyannote[113].end |
282.19784375 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
278.67096875 |
transcript.pyannote[114].end |
278.72159375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
282.23159375 |
transcript.pyannote[115].end |
282.26534375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
282.26534375 |
transcript.pyannote[116].end |
282.28221875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
282.28221875 |
transcript.pyannote[117].end |
282.31596875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
282.31596875 |
transcript.pyannote[118].end |
283.80096875 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
283.96971875 |
transcript.pyannote[119].end |
287.09159375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
287.42909375 |
transcript.pyannote[120].end |
289.94346875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
291.25971875 |
transcript.pyannote[121].end |
291.74909375 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
293.28471875 |
transcript.pyannote[122].end |
293.79096875 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
294.83721875 |
transcript.pyannote[123].end |
295.90034375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
296.33909375 |
transcript.pyannote[124].end |
297.43596875 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
297.87471875 |
transcript.pyannote[125].end |
299.19096875 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
299.42721875 |
transcript.pyannote[126].end |
300.13596875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
300.64221875 |
transcript.pyannote[127].end |
301.31721875 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
301.77284375 |
transcript.pyannote[128].end |
304.01721875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
304.55721875 |
transcript.pyannote[129].end |
306.04221875 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
306.48096875 |
transcript.pyannote[130].end |
306.95346875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
307.52721875 |
transcript.pyannote[131].end |
323.64284375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
312.97784375 |
transcript.pyannote[132].end |
313.11284375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
313.12971875 |
transcript.pyannote[133].end |
313.23096875 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
323.84534375 |
transcript.pyannote[134].end |
327.33846875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
327.42284375 |
transcript.pyannote[135].end |
327.45659375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
327.45659375 |
transcript.pyannote[136].end |
327.57471875 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
327.57471875 |
transcript.pyannote[137].end |
327.69284375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
327.69284375 |
transcript.pyannote[138].end |
327.96284375 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
327.96284375 |
transcript.pyannote[139].end |
345.17534375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
344.63534375 |
transcript.pyannote[140].end |
345.36096875 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
345.24284375 |
transcript.pyannote[141].end |
356.63346875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
351.52034375 |
transcript.pyannote[142].end |
351.62159375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
356.51534375 |
transcript.pyannote[143].end |
356.80221875 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
356.68409375 |
transcript.pyannote[144].end |
360.17721875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
360.17721875 |
transcript.pyannote[145].end |
365.83034375 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
360.90284375 |
transcript.pyannote[146].end |
361.54409375 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
364.27784375 |
transcript.pyannote[147].end |
368.24346875 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
368.56409375 |
transcript.pyannote[148].end |
369.94784375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
370.31909375 |
transcript.pyannote[149].end |
373.35659375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
373.69409375 |
transcript.pyannote[150].end |
374.26784375 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
374.63909375 |
transcript.pyannote[151].end |
375.70221875 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
376.22534375 |
transcript.pyannote[152].end |
377.49096875 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
378.31784375 |
transcript.pyannote[153].end |
379.21221875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
379.73534375 |
transcript.pyannote[154].end |
381.13596875 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
381.50721875 |
transcript.pyannote[155].end |
384.88221875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
385.48971875 |
transcript.pyannote[156].end |
386.33346875 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
387.39659375 |
transcript.pyannote[157].end |
387.91971875 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
388.56096875 |
transcript.pyannote[158].end |
388.96596875 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
389.28659375 |
transcript.pyannote[159].end |
393.35346875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
393.72471875 |
transcript.pyannote[160].end |
396.08721875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
395.68221875 |
transcript.pyannote[161].end |
397.85909375 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
399.64784375 |
transcript.pyannote[162].end |
407.46096875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
407.57909375 |
transcript.pyannote[163].end |
409.28346875 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
409.31721875 |
transcript.pyannote[164].end |
409.92471875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
410.32971875 |
transcript.pyannote[165].end |
411.88221875 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
412.77659375 |
transcript.pyannote[166].end |
413.33346875 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
414.37971875 |
transcript.pyannote[167].end |
417.07971875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
417.55221875 |
transcript.pyannote[168].end |
424.33596875 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
424.65659375 |
transcript.pyannote[169].end |
427.20471875 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
427.54221875 |
transcript.pyannote[170].end |
428.55471875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
428.79096875 |
transcript.pyannote[171].end |
429.95534375 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
430.30971875 |
transcript.pyannote[172].end |
431.79471875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
431.96346875 |
transcript.pyannote[173].end |
432.97596875 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
433.61721875 |
transcript.pyannote[174].end |
434.71409375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
435.30471875 |
transcript.pyannote[175].end |
435.81096875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
436.36784375 |
transcript.pyannote[176].end |
442.40909375 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
438.52784375 |
transcript.pyannote[177].end |
439.35471875 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
441.61596875 |
transcript.pyannote[178].end |
442.83096875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
442.99971875 |
transcript.pyannote[179].end |
443.80971875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
443.96159375 |
transcript.pyannote[180].end |
443.97846875 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
443.97846875 |
transcript.pyannote[181].end |
444.24846875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
444.24846875 |
transcript.pyannote[182].end |
445.29471875 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
444.28221875 |
transcript.pyannote[183].end |
444.67034375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
445.29471875 |
transcript.pyannote[184].end |
445.34534375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
445.34534375 |
transcript.pyannote[185].end |
445.42971875 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
445.42971875 |
transcript.pyannote[186].end |
445.48034375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
445.48034375 |
transcript.pyannote[187].end |
446.77971875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
445.51409375 |
transcript.pyannote[188].end |
446.32409375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
446.96534375 |
transcript.pyannote[189].end |
454.00221875 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
453.51284375 |
transcript.pyannote[190].end |
454.77846875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
454.76159375 |
transcript.pyannote[191].end |
490.40159375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
456.31409375 |
transcript.pyannote[192].end |
458.96346875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
487.90409375 |
transcript.pyannote[193].end |
490.38471875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
490.40159375 |
transcript.pyannote[194].end |
490.41846875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
490.41846875 |
transcript.pyannote[195].end |
490.50284375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
490.50284375 |
transcript.pyannote[196].end |
490.51971875 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
491.11034375 |
transcript.pyannote[197].end |
493.52346875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
493.89471875 |
transcript.pyannote[198].end |
499.61534375 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
499.59846875 |
transcript.pyannote[199].end |
501.28596875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
501.37034375 |
transcript.pyannote[200].end |
503.31096875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
503.44596875 |
transcript.pyannote[201].end |
508.54221875 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
503.61471875 |
transcript.pyannote[202].end |
507.69846875 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
507.95159375 |
transcript.pyannote[203].end |
509.92596875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
510.26346875 |
transcript.pyannote[204].end |
513.63846875 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
512.60909375 |
transcript.pyannote[205].end |
515.83221875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
516.13596875 |
transcript.pyannote[206].end |
523.84784375 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
524.13471875 |
transcript.pyannote[207].end |
525.75471875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
525.92346875 |
transcript.pyannote[208].end |
526.49721875 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
526.22721875 |
transcript.pyannote[209].end |
527.03721875 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
527.86409375 |
transcript.pyannote[210].end |
530.69909375 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
529.78784375 |
transcript.pyannote[211].end |
533.24721875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
532.04909375 |
transcript.pyannote[212].end |
536.09909375 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
536.16659375 |
transcript.pyannote[213].end |
537.09471875 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
537.19596875 |
transcript.pyannote[214].end |
538.09034375 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
537.92159375 |
transcript.pyannote[215].end |
541.17846875 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
540.53721875 |
transcript.pyannote[216].end |
542.79846875 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
542.44409375 |
transcript.pyannote[217].end |
546.47721875 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
544.01346875 |
transcript.pyannote[218].end |
545.02596875 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
547.33784375 |
transcript.pyannote[219].end |
548.51909375 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
548.97471875 |
transcript.pyannote[220].end |
549.32909375 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
549.32909375 |
transcript.pyannote[221].end |
550.61159375 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
549.66659375 |
transcript.pyannote[222].end |
553.90221875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
553.90221875 |
transcript.pyannote[223].end |
558.86346875 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
558.89721875 |
transcript.pyannote[224].end |
558.93096875 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
558.93096875 |
transcript.pyannote[225].end |
559.82534375 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
559.23471875 |
transcript.pyannote[226].end |
561.34409375 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
561.78284375 |
transcript.pyannote[227].end |
581.03721875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
562.33971875 |
transcript.pyannote[228].end |
564.71909375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
566.89596875 |
transcript.pyannote[229].end |
568.34721875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
569.71409375 |
transcript.pyannote[230].end |
572.44784375 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
574.70909375 |
transcript.pyannote[231].end |
575.18159375 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
580.02471875 |
transcript.pyannote[232].end |
580.24409375 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
581.42534375 |
transcript.pyannote[233].end |
582.87659375 |
transcript.pyannote[234].speaker |
SPEAKER_02 |
transcript.pyannote[234].start |
583.26471875 |
transcript.pyannote[234].end |
585.54284375 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
585.88034375 |
transcript.pyannote[235].end |
587.23034375 |
transcript.pyannote[236].speaker |
SPEAKER_02 |
transcript.pyannote[236].start |
587.50034375 |
transcript.pyannote[236].end |
589.76159375 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
589.96409375 |
transcript.pyannote[237].end |
592.63034375 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
592.88346875 |
transcript.pyannote[238].end |
592.90034375 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
592.90034375 |
transcript.pyannote[239].end |
597.06846875 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
597.20346875 |
transcript.pyannote[240].end |
597.64221875 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
597.64221875 |
transcript.pyannote[241].end |
601.23659375 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
599.07659375 |
transcript.pyannote[242].end |
602.89034375 |
transcript.pyannote[243].speaker |
SPEAKER_02 |
transcript.pyannote[243].start |
602.89034375 |
transcript.pyannote[243].end |
605.53971875 |
transcript.pyannote[244].speaker |
SPEAKER_02 |
transcript.pyannote[244].start |
605.79284375 |
transcript.pyannote[244].end |
611.58096875 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
612.00284375 |
transcript.pyannote[245].end |
616.10346875 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
615.10784375 |
transcript.pyannote[246].end |
615.74909375 |
transcript.pyannote[247].speaker |
SPEAKER_02 |
transcript.pyannote[247].start |
616.64346875 |
transcript.pyannote[247].end |
618.19596875 |
transcript.pyannote[248].speaker |
SPEAKER_02 |
transcript.pyannote[248].start |
618.60096875 |
transcript.pyannote[248].end |
625.75596875 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
623.56221875 |
transcript.pyannote[249].end |
624.11909375 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
624.54096875 |
transcript.pyannote[250].end |
625.09784375 |
transcript.pyannote[251].speaker |
SPEAKER_02 |
transcript.pyannote[251].start |
625.97534375 |
transcript.pyannote[251].end |
628.05096875 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
627.64596875 |
transcript.pyannote[252].end |
629.19846875 |
transcript.pyannote[253].speaker |
SPEAKER_02 |
transcript.pyannote[253].start |
628.97909375 |
transcript.pyannote[253].end |
634.07534375 |
transcript.pyannote[254].speaker |
SPEAKER_02 |
transcript.pyannote[254].start |
634.34534375 |
transcript.pyannote[254].end |
636.60659375 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
636.60659375 |
transcript.pyannote[255].end |
637.77096875 |
transcript.pyannote[256].speaker |
SPEAKER_02 |
transcript.pyannote[256].start |
637.70346875 |
transcript.pyannote[256].end |
649.31346875 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
637.87221875 |
transcript.pyannote[257].end |
637.97346875 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
647.55846875 |
transcript.pyannote[258].end |
647.99721875 |
transcript.pyannote[259].speaker |
SPEAKER_02 |
transcript.pyannote[259].start |
649.90409375 |
transcript.pyannote[259].end |
651.50721875 |
transcript.pyannote[260].speaker |
SPEAKER_02 |
transcript.pyannote[260].start |
651.82784375 |
transcript.pyannote[260].end |
652.24971875 |
transcript.pyannote[261].speaker |
SPEAKER_02 |
transcript.pyannote[261].start |
652.30034375 |
transcript.pyannote[261].end |
654.67971875 |
transcript.pyannote[262].speaker |
SPEAKER_02 |
transcript.pyannote[262].start |
655.10159375 |
transcript.pyannote[262].end |
658.52721875 |
transcript.pyannote[263].speaker |
SPEAKER_02 |
transcript.pyannote[263].start |
658.62846875 |
transcript.pyannote[263].end |
661.75034375 |
transcript.pyannote[264].speaker |
SPEAKER_02 |
transcript.pyannote[264].start |
662.57721875 |
transcript.pyannote[264].end |
664.82159375 |
transcript.pyannote[265].speaker |
SPEAKER_02 |
transcript.pyannote[265].start |
665.31096875 |
transcript.pyannote[265].end |
670.87971875 |
transcript.pyannote[266].speaker |
SPEAKER_02 |
transcript.pyannote[266].start |
672.04409375 |
transcript.pyannote[266].end |
679.55346875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
672.83721875 |
transcript.pyannote[267].end |
673.49534375 |
transcript.whisperx[0].start |
0.329 |
transcript.whisperx[0].end |
28.122 |
transcript.whisperx[0].text |
請彭主委、有請莊部長委員好部長好那其實ESG我們都希望永續的發展但是在普惠金融這一塊我想最近很多委員也都是跟本席一樣非常的關心我們發現整個金融的發展跟佈局 |
transcript.whisperx[1].start |
29.07 |
transcript.whisperx[1].end |
46.124 |
transcript.whisperx[1].text |
他大概總歸的講就是肥了大企業瘦了小老百姓的確很多的民眾因為M型化社會的來臨啊辛苦的非常多舉個例子 |
transcript.whisperx[2].start |
47.455 |
transcript.whisperx[2].end |
76.846 |
transcript.whisperx[2].text |
主委 我請教你啊股市現在都已經漲到2萬點 站穩2萬多點可是真正賺錢的行業大概百分比有多少你們有沒有算過當股市到2萬點的時候我們發現傳產的一些特別傳統的夕陽產業也好或者過去這個比較即將要淘汰的產業也好 |
transcript.whisperx[3].start |
78.134 |
transcript.whisperx[3].end |
107.268 |
transcript.whisperx[3].text |
可以說是以前茅山道士啊現在不要虧錢就不得了啦所以不曉得主委有沒有發生有沒有發現這樣的情況現在我了解一下狀況對希望主委因為你剛剛來啦齁其實身負重任我們希望說社會的和諧永續是平均把國家的資源照顧到每個人的身上 |
transcript.whisperx[4].start |
109.926 |
transcript.whisperx[4].end |
131.931 |
transcript.whisperx[4].text |
我知道很辛苦 企業也是講求利潤但是 不要忘記了沒有過去的努力 沒有過去的農民 沒有過去的傳統產業撐起台灣一邊天這些好的電子公司也不會有今天的成就啊當我們看到AI的時代來臨時候 |
transcript.whisperx[5].start |
133.834 |
transcript.whisperx[5].end |
159.21 |
transcript.whisperx[5].text |
我們看到Jason Huang他回到台灣來我們看到很感動因為他是台灣ina 台南人不只他蘇之鋒還有第四名的Charles全部都是台灣人台北工專畢業的這都不容易但是提醒主委跟部長 |
transcript.whisperx[6].start |
161.23 |
transcript.whisperx[6].end |
185.657 |
transcript.whisperx[6].text |
當他們撐起一片天總市值超過接近3兆美金的時候我們要主動的跟他們聯絡請他們有機會不要忘了台灣這個地方生他養他育他的地方多多給台灣機會特別是應該多給台灣的年輕人機會 |
transcript.whisperx[7].start |
188.035 |
transcript.whisperx[7].end |
215.478 |
transcript.whisperx[7].text |
主委部長我想請問部長一下我們的八大公股銀行裡面平均年齡是多少平均年齡這個部分我手邊目前沒有資料會後送給委員是這也是請兩位上來的原因之一我們的一些公股銀行啊不斷的老化呈現的就是 |
transcript.whisperx[8].start |
216.687 |
transcript.whisperx[8].end |
244.021 |
transcript.whisperx[8].text |
老業凋零都是一些老人反而我們看到一些新興的一些金融產業年輕人都很多包括電商交易也好包括Fintech比較在沙盒裡面都是一些年輕人可是我發現政府的政策都是保護過去的老思維比較多 |
transcript.whisperx[9].start |
245.185 |
transcript.whisperx[9].end |
271.932 |
transcript.whisperx[9].text |
就過去怎麼做就是照本宣科所以的銀行、董、總永遠都沒有求新求變更遑任永續的這個經營的一個思想諸位我想請教一下國外的數據來說整個GDP裡面金融的分配佔比大概是怎麼樣 |
transcript.whisperx[10].start |
273.632 |
transcript.whisperx[10].end |
293.482 |
transcript.whisperx[10].text |
我所掌握的資料臺灣現在是大概是佔GDP的6%左右6%那其他可能我們周邊可能將近兩位數字兩位數對所以從這個兩位數的成長我們就發現臺灣的金融要加油所以莊部長 |
transcript.whisperx[11].start |
294.895 |
transcript.whisperx[11].end |
322.591 |
transcript.whisperx[11].text |
金融營業稅從5%要調降到2%或者是有人外界解讀的3%部長什麼時候開始推動?金融營業稅的部分其實就是銀行業的還有保險業的本業的部分其他的部分目前大致都是2%那至於這兩頁要不要做調整我想我們跟金管會也都在充分的討論當中 |
transcript.whisperx[12].start |
323.868 |
transcript.whisperx[12].end |
350.823 |
transcript.whisperx[12].text |
好 謝謝那你們兩位現在都在阿你馬上討論阿這個那麼簡單就是說你要降到3%或是降到2%數字你們有沒有彼此有沒有加line我們會你把所有的數字一傳見面那麼大的官員見面就是政策方向要不要確定要不要定案省下來的稅金要做什麼樣的使用 |
transcript.whisperx[13].start |
351.643 |
transcript.whisperx[13].end |
377.301 |
transcript.whisperx[13].text |
是不是來多多加強整個所有金融人員的訓練?或者是多多銀行要鼓勵他們來加薪啊?委員您的建議很好,我們都會納入這個考量。部長你知道,剛剛有提到華南清空也好,和庫清空也好,他們在公股銀行裡面表現算還是中上,前段班的。 |
transcript.whisperx[14].start |
378.356 |
transcript.whisperx[14].end |
397.603 |
transcript.whisperx[14].text |
可是你知道他們跟富邦、跟國泰、跟一些外商銀行的薪水差了多少?舉例,核庫的董事長好了,他一個月薪水大概多少?我不曉得他一個月薪水多少?他人在啊,你馬上問就知道啦 |
transcript.whisperx[15].start |
402.129 |
transcript.whisperx[15].end |
416.602 |
transcript.whisperx[15].text |
新展銀行新加坡總經理董事長一個月薪水多少?那一定也是比我們高嗎?高多少?高多少?不知道啊心理你要知道說整個市場的變化 |
transcript.whisperx[16].start |
418.025 |
transcript.whisperx[16].end |
435.393 |
transcript.whisperx[16].text |
知道應該怎麼選任新的人來擔任新的事務。部長請問你最近已經到了六七月公股銀行有幾家準備要進行董事長總經理的改選 |
transcript.whisperx[17].start |
437.172 |
transcript.whisperx[17].end |
447.199 |
transcript.whisperx[17].text |
今年會有三家銀行哪三家三家就是兆豐嘛兆豐有沒有來第一還有台企銀還有三家這個部分要做改選目前來說他們會在6月21號召開相關的董事會股東會已經到了會召開6月21號這過幾天就端午節了也跟委員報告在金融機構裡面第一個我們有 |
transcript.whisperx[18].start |
463.45 |
transcript.whisperx[18].end |
463.51 |
transcript.whisperx[18].text |
剛剛講的這三家 |
transcript.whisperx[19].start |
491.201 |
transcript.whisperx[19].end |
515.441 |
transcript.whisperx[19].text |
金康公司董總會不會換人目前當然第一個我們名單是先提列出來啦到時候還是要等到大會的你可不可以把名單讓我看一下名單可以有都有公告啊有公告請公關聯絡人拿給我一下可以提供給委員沒問題兆豐表現得好不好兆豐表現得不錯啊不錯表現得好你要需要把他換掉嗎 |
transcript.whisperx[20].start |
516.556 |
transcript.whisperx[20].end |
517.057 |
transcript.whisperx[20].text |
雷董會繼續做? |
transcript.whisperx[21].start |
528.155 |
transcript.whisperx[21].end |
544.173 |
transcript.whisperx[21].text |
這個部分我想還是要等到整個大會議是好 那易穎的呢易穎的金空董事長易穎金空是目前是邱董事長是表現得好不好也很好啊好 那你有沒有問他要不繼續擔啊擔任啊我沒有問他啊你馬上在啊你問一下時間暫停問一下 |
transcript.whisperx[22].start |
547.561 |
transcript.whisperx[22].end |
573.939 |
transcript.whisperx[22].text |
還是等一下再問他上來是要回答委員問題不是回答我的問題人事是你在決定如果我決定我馬上我就說繼續留任因為他以前在新加坡待過而且表現也非常好非常的圓融企業大家都很稱讚他而且賺錢賺得很好賺很多義營旗下義營證券都已經破紀錄對不對 |
transcript.whisperx[23].start |
575.76 |
transcript.whisperx[23].end |
585.247 |
transcript.whisperx[23].text |
那個EPS都創新高啊都很好的人選啊那還有哪一家台企銀來台企銀董事長是劉董事長 |
transcript.whisperx[24].start |
587.5 |
transcript.whisperx[24].end |
591.504 |
transcript.whisperx[24].text |
臺慶過去快要瀕臨7塊6塊,已經是10塊保衛戰了,現在漲到多少錢了?好的不得了,以前零千號每天無名無利 |
transcript.whisperx[25].start |
608.661 |
transcript.whisperx[25].end |
636.118 |
transcript.whisperx[25].text |
到了10點我問他說你怎麼還不下班他說他一定要把台慶帶動起來所以當林董事長他到到和庫然後因為太累了然後生病過世了我覺得心裡非常的捨不得啊所以部長拜託啊好的人選你要多多鼓勵然後鼓勵他們要多待一些栽培一些年輕人會的會的 |
transcript.whisperx[26].start |
637.839 |
transcript.whisperx[26].end |
638.279 |
transcript.whisperx[26].text |
主席 |
transcript.whisperx[27].start |
662.608 |
transcript.whisperx[27].end |
664.55 |
transcript.whisperx[27].text |
謝謝羅明才委員的質詢接著我們請陳鈺貞委員質詢我們也開放現場用餐12點了 |