iVOD / 161115

Field Value
IVOD_ID 161115
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161115
日期 2025-05-08
會議資料.會議代碼 委員會-11-3-20-11
會議資料.會議代碼:str 第11屆第3會期財政委員會第11次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 11
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3會期財政委員會第11次全體委員會議
影片種類 Clip
開始時間 2025-05-08T12:26:05+08:00
結束時間 2025-05-08T12:33:14+08:00
影片長度 00:07:09
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/26c557d936b203c1f34f5673247327e3e0059966c803d0e9567847e18f9cb587555062629d9f47525ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王鴻薇
委員發言時間 12:26:05 - 12:33:14
會議時間 2025-05-08T09:00:00+08:00
會議名稱 立法院第11屆第3會期財政委員會第11次全體委員會議(事由:邀請行政院主計總處陳主計長淑姿、財政部莊部長翠雲、中央銀行楊總裁金龍、國家發展委員會劉主任委員鏡清、勞動部洪部長申翰、銓敘部施部長能傑就「我國如果要設立國家主權基金,中央銀行與政府相關基金(如四大基金等)所扮演的角色為何?」進行專題報告,並備質詢。 【5月7日及8日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 10.79721875
transcript.pyannote[0].end 10.86471875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 10.86471875
transcript.pyannote[1].end 11.62409375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 11.23596875
transcript.pyannote[2].end 13.02471875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.32846875
transcript.pyannote[3].end 13.34534375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 13.34534375
transcript.pyannote[4].end 14.29034375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 13.37909375
transcript.pyannote[5].end 13.75034375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 14.29034375
transcript.pyannote[6].end 14.54346875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 14.54346875
transcript.pyannote[7].end 16.45034375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 17.02409375
transcript.pyannote[8].end 51.70221875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 24.58409375
transcript.pyannote[9].end 24.87096875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 27.94221875
transcript.pyannote[10].end 28.06034375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 29.32596875
transcript.pyannote[11].end 29.73096875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 31.31721875
transcript.pyannote[12].end 31.75596875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 41.84721875
transcript.pyannote[13].end 45.86346875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 47.04471875
transcript.pyannote[14].end 47.36534375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 50.08221875
transcript.pyannote[15].end 52.12409375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 51.97221875
transcript.pyannote[16].end 62.24909375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 56.03909375
transcript.pyannote[17].end 56.19096875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 58.72221875
transcript.pyannote[18].end 59.21159375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 60.84846875
transcript.pyannote[19].end 61.33784375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 61.65846875
transcript.pyannote[20].end 62.77221875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 62.51909375
transcript.pyannote[21].end 63.46409375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 63.54846875
transcript.pyannote[22].end 68.76284375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 69.06659375
transcript.pyannote[23].end 76.22159375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 72.74534375
transcript.pyannote[24].end 73.26846875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 76.22159375
transcript.pyannote[25].end 77.38596875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 76.23846875
transcript.pyannote[26].end 76.35659375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 76.50846875
transcript.pyannote[27].end 90.97034375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 79.29284375
transcript.pyannote[28].end 79.88346875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 85.24971875
transcript.pyannote[29].end 85.63784375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 92.33721875
transcript.pyannote[30].end 96.74159375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 96.97784375
transcript.pyannote[31].end 96.99471875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 96.99471875
transcript.pyannote[32].end 97.18034375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 97.33221875
transcript.pyannote[33].end 111.23721875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 111.49034375
transcript.pyannote[34].end 134.30534375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 122.37471875
transcript.pyannote[35].end 122.44221875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 122.67846875
transcript.pyannote[36].end 122.93159375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 123.31971875
transcript.pyannote[37].end 123.38721875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 132.22971875
transcript.pyannote[38].end 132.95534375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 133.78221875
transcript.pyannote[39].end 134.82846875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 134.82846875
transcript.pyannote[40].end 143.55284375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 143.72159375
transcript.pyannote[41].end 146.11784375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 146.35409375
transcript.pyannote[42].end 146.59034375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 146.80971875
transcript.pyannote[43].end 148.56471875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 148.31159375
transcript.pyannote[44].end 161.28846875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 161.42346875
transcript.pyannote[45].end 165.65909375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 162.45284375
transcript.pyannote[46].end 173.60721875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 168.02159375
transcript.pyannote[47].end 168.96659375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 170.83971875
transcript.pyannote[48].end 173.32034375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 173.60721875
transcript.pyannote[49].end 174.09659375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 174.21471875
transcript.pyannote[50].end 178.34909375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 179.12534375
transcript.pyannote[51].end 188.77784375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 188.18721875
transcript.pyannote[52].end 189.84096875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 190.29659375
transcript.pyannote[53].end 190.88721875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 191.30909375
transcript.pyannote[54].end 192.18659375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 193.50284375
transcript.pyannote[55].end 194.80221875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 194.80221875
transcript.pyannote[56].end 195.79784375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 195.79784375
transcript.pyannote[57].end 195.83159375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 197.19846875
transcript.pyannote[58].end 202.02471875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 202.68284375
transcript.pyannote[59].end 203.59409375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 204.58971875
transcript.pyannote[60].end 206.29409375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 205.70346875
transcript.pyannote[61].end 207.12096875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 207.20534375
transcript.pyannote[62].end 210.36096875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 209.82096875
transcript.pyannote[63].end 211.35659375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 210.46221875
transcript.pyannote[64].end 219.13596875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 212.72346875
transcript.pyannote[65].end 213.33096875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 218.78159375
transcript.pyannote[66].end 218.96721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 219.40596875
transcript.pyannote[67].end 222.22409375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 222.52784375
transcript.pyannote[68].end 240.22971875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 240.38159375
transcript.pyannote[69].end 244.46534375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 242.42346875
transcript.pyannote[70].end 243.03096875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 243.67221875
transcript.pyannote[71].end 244.06034375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 244.46534375
transcript.pyannote[72].end 244.53284375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 244.53284375
transcript.pyannote[73].end 264.31034375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 244.66784375
transcript.pyannote[74].end 246.28784375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 247.60409375
transcript.pyannote[75].end 247.67159375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 249.86534375
transcript.pyannote[76].end 250.38846875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 258.35346875
transcript.pyannote[77].end 259.51784375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 260.95221875
transcript.pyannote[78].end 262.11659375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 263.23034375
transcript.pyannote[79].end 274.78971875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 271.85346875
transcript.pyannote[80].end 273.05159375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 273.32159375
transcript.pyannote[81].end 273.62534375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 274.03034375
transcript.pyannote[82].end 291.20909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 276.61221875
transcript.pyannote[83].end 278.09721875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 283.32846875
transcript.pyannote[84].end 283.80096875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 291.46221875
transcript.pyannote[85].end 321.19596875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 300.30471875
transcript.pyannote[86].end 301.03034375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 302.19471875
transcript.pyannote[87].end 302.63346875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 305.38409375
transcript.pyannote[88].end 306.48096875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 309.26534375
transcript.pyannote[89].end 309.50159375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 321.44909375
transcript.pyannote[90].end 323.01846875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 324.09846875
transcript.pyannote[91].end 332.50221875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 332.56971875
transcript.pyannote[92].end 339.60659375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 339.60659375
transcript.pyannote[93].end 353.42721875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 339.62346875
transcript.pyannote[94].end 340.24784375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 352.29659375
transcript.pyannote[95].end 366.94409375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 365.56034375
transcript.pyannote[96].end 370.65659375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 367.75409375
transcript.pyannote[97].end 368.98596875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 370.62284375
transcript.pyannote[98].end 372.64784375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 371.07846875
transcript.pyannote[99].end 371.17971875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 372.02346875
transcript.pyannote[100].end 373.39034375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 372.74909375
transcript.pyannote[101].end 374.03159375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 374.20034375
transcript.pyannote[102].end 383.93721875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 383.46471875
transcript.pyannote[103].end 405.16596875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 391.63221875
transcript.pyannote[104].end 391.88534375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 397.01534375
transcript.pyannote[105].end 397.31909375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 399.88409375
transcript.pyannote[106].end 400.67721875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 405.50346875
transcript.pyannote[107].end 407.46096875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 407.79846875
transcript.pyannote[108].end 412.69221875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 409.41846875
transcript.pyannote[109].end 409.48596875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 409.53659375
transcript.pyannote[110].end 409.63784375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 410.27909375
transcript.pyannote[111].end 410.65034375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 411.35909375
transcript.pyannote[112].end 422.22659375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 415.02096875
transcript.pyannote[113].end 415.78034375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 416.59034375
transcript.pyannote[114].end 422.04096875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 422.53034375
transcript.pyannote[115].end 424.58909375
transcript.whisperx[0].start 10.794
transcript.whisperx[0].end 27.024
transcript.whisperx[0].text 好 總裁好 王委員早剛才齁 我們陳宇峥委員代理那個召委主席之後 讓他坐回來他說 這個楊金龍總裁實在很不善於說謊他說只要你一涉及到說謊 就結結巴巴
transcript.whisperx[1].start 30.006
transcript.whisperx[1].end 31.027
transcript.whisperx[1].text 包含在記者會還有包括剛才我們市民委員說有沒有楊金龍防線總裁竟然說有沒有澎南華防線所以總裁我覺得
transcript.whisperx[2].start 47.526
transcript.whisperx[2].end 68.244
transcript.whisperx[2].text 我們還是應該要為所當為 言所當言總裁今天討論到國家主權基金我看到央行的報告裡面在最後的部分這個就重點了意思說央行對於成立主權基金是持正向態度但是
transcript.whisperx[3].start 69.145
transcript.whisperx[3].end 89.734
transcript.whisperx[3].text 不能由外匯存底直接無償撥用所以這個是我們中央銀行的態度這個部分我是肯定的也希望我們總裁能夠守住央行防線主權基金當然不能由外匯存底直接的來撥用
transcript.whisperx[4].start 92.406
transcript.whisperx[4].end 97.829
transcript.whisperx[4].text 最近我們面對美國的貿易戰經濟部長郭志輝說未來十年我們要投資美國兩千億美元我很擔心這個會不會跟主權基金會有任何的相關聯
transcript.whisperx[5].start 111.616
transcript.whisperx[5].end 127.271
transcript.whisperx[5].text 然後呢這兩千億美元我們很多人都在問啊兩千億美元錢從哪裡來我們擔心有人動腦筋動到了我們的外匯存底的身上所以總裁在這邊可不可以給我們一個承諾第一
transcript.whisperx[6].start 127.851
transcript.whisperx[6].end 145.94
transcript.whisperx[6].text 主權基金不要由外匯存底直接無償撥用這個是報告第二未來如果有兩千億美元要去投資美國解決有關於美國的貿易戰也不能動用外匯存底
transcript.whisperx[7].start 147.04
transcript.whisperx[7].end 175.649
transcript.whisperx[7].text 總裁可不可以做出這樣的承諾那當然啊就是說那個主權基金我們就是說無償不能無償多用嘛那另外你就說是就是說要投資美國兩千億的這個嘛那當然就不可能啊不能夠直接拿外匯存你絕對是多的不然的話這個大家都隨便喊價嘛兩千億變三千億反正我們有五千八百億可以用另外總裁請問一下我們持有美國
transcript.whisperx[8].start 176.829
transcript.whisperx[8].end 195.363
transcript.whisperx[8].text 美債到底是多少因為上一次在講就是說是佔的比重有多少我要這個數字金額多少有沒有三千億如果說是公債的話如果說我們純粹就公債的話沒有三千億
transcript.whisperx[9].start 205.082
transcript.whisperx[9].end 225.697
transcript.whisperx[9].text 純粹就公債的話 美債的話那就又包 因為我們有一些的我們有一些的那個我們有一些的那個債券呢他不是公債的而是另外的 譬如說我舉一個例子我們也有持有BIS他的一個發行的債券那是以美元做計價的
transcript.whisperx[10].start 226.477
transcript.whisperx[10].end 231.981
transcript.whisperx[10].text 那這個就不是這個就不是公債啦就不是美國的公債啊所以我就說如果嚴格來定義的話呢我們持有美國公債的話呢是應該就是低於三千億以下那大概多少低於三千億是多少這個我私下再說這是根據美國財政部的這個他的這個資料來源是到今年的年初我們是持有美國政府公債
transcript.whisperx[11].start 256.777
transcript.whisperx[11].end 264.563
transcript.whisperx[11].text 前第11名金額2900億美元這個數字對的但是我跟委員報告我要澄清一點這個數據是包括中央銀行跟民間部門的所以也不是說這個2900多億美元我就中央銀行的部分來請教總裁因為其實現在很多人都在關心也就是擔心一件事情
transcript.whisperx[12].start 283.996
transcript.whisperx[12].end 308.412
transcript.whisperx[12].text 就是所謂的海湖莊嚴協議這裡面提及到就是要讓外國投資美國債券的可以轉換成百年長期債券甚至是零利率所以我想請問中央銀行我現在不管民間的中央銀行所持有的美國政府公債
transcript.whisperx[13].start 309.993
transcript.whisperx[13].end 322.961
transcript.whisperx[13].text 當到期的時候如果他把轉換成非常長期比如說百年長期債券尤其現在提出所謂的零利率債券央行會不會斷然拒絕我跟委員報告就是說這個議題呢我們基本上我們在我們在我們新聞稿裡面呢我們講了好幾次了沒有這個議題這個是就市場的傳聞這個是這個是他這個
transcript.whisperx[14].start 339.411
transcript.whisperx[14].end 342.832
transcript.whisperx[14].text 當有這個議題的時候當美國提出來的時候我們會不會斷然拒絕把我們持有的美國債券轉換成這樣百年長期債券我跟委員就是說我答覆的因為委員這是假設性的議題假設性的議題我覺得我也不便在這邊回答這是第一點
transcript.whisperx[15].start 365.538
transcript.whisperx[15].end 369.96
transcript.whisperx[15].text 我們又緊張了你跟卓榮泰院長一樣啊不不不我總覺得就是說我們會密切注意因為事實上所以我以前我才會很因為我就不佔據時間因為今天關心匯率還關心美債我們委員非常多
transcript.whisperx[16].start 393.089
transcript.whisperx[16].end 406.945
transcript.whisperx[16].text 不過這樣的話我就來考慮來研究一下那也歡迎大家提供給我意見我們看怎麼樣用從法規的面向去阻止未來有可能的發生
transcript.whisperx[17].start 408.266
transcript.whisperx[17].end 409.086
transcript.whisperx[17].text 謝謝委員對這個議題的關心所以總裁也很贊成