iVOD / 158258

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3777787365654675e61c6522e3c7846253481301b577a5e503b311b467971f731ebfeb97457f9b415ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 葉元之
委員發言時間 12:10:38 - 12:17:25
影片長度 407
會議時間 2024-12-19T09:00:00+08:00
會議名稱 立法院第11屆第2會期財政委員會第11次全體委員會議(事由:一、審查中華民國114年度中央政府總預算案有關金融監督管理委員會、銀行局、證券期貨局、保險局、檢查局收支部分。(僅詢答) 二、審查中華民國114年度中央政府總預算案附屬單位預算營業部分,有關金融監督管理委員會主管中央存款保險股份有限公司。(僅詢答) 三、審查中華民國114年度中央政府總預算案附屬單位預算非營業部分,有關金融監督管理委員會主管:(僅詢答) (一)特別收入基金-金融監督管理基金。 (二)信託基金-保險業務發展基金。 【預算提案截止時間:12月19日(四)中午12時】 【12月18日及19日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.67221875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 0.85784375
transcript.pyannote[1].end 1.39784375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 3.59159375
transcript.pyannote[2].end 7.99596875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 7.82721875
transcript.pyannote[3].end 8.60346875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 8.08034375
transcript.pyannote[4].end 29.05596875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 9.14346875
transcript.pyannote[5].end 9.16034375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 9.22784375
transcript.pyannote[6].end 9.27846875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 23.82471875
transcript.pyannote[7].end 24.41534375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 26.40659375
transcript.pyannote[8].end 26.71034375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 29.19096875
transcript.pyannote[9].end 32.09346875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 32.39721875
transcript.pyannote[10].end 46.99409375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 46.99409375
transcript.pyannote[11].end 53.55846875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 50.25096875
transcript.pyannote[12].end 51.17909375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 53.27159375
transcript.pyannote[13].end 57.16971875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 54.68909375
transcript.pyannote[14].end 55.88721875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 57.27096875
transcript.pyannote[15].end 75.07409375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 65.05034375
transcript.pyannote[16].end 66.99096875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 72.35721875
transcript.pyannote[17].end 72.96471875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 74.58471875
transcript.pyannote[18].end 74.95596875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 75.20909375
transcript.pyannote[19].end 77.62221875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 77.62221875
transcript.pyannote[20].end 77.94284375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 78.33096875
transcript.pyannote[21].end 79.03971875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 79.52909375
transcript.pyannote[22].end 81.73971875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 82.68471875
transcript.pyannote[23].end 95.96534375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 96.48846875
transcript.pyannote[24].end 106.78221875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 100.45409375
transcript.pyannote[25].end 100.77471875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 103.77846875
transcript.pyannote[26].end 104.08221875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 107.44034375
transcript.pyannote[27].end 108.03096875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 107.82846875
transcript.pyannote[28].end 111.37221875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 111.60846875
transcript.pyannote[29].end 112.19909375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 111.64221875
transcript.pyannote[30].end 113.95409375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 114.30846875
transcript.pyannote[31].end 117.76784375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 118.15596875
transcript.pyannote[32].end 119.05034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 118.49346875
transcript.pyannote[33].end 120.24846875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 119.84346875
transcript.pyannote[34].end 123.62346875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 123.62346875
transcript.pyannote[35].end 124.38284375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 124.38284375
transcript.pyannote[36].end 130.87971875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 129.51284375
transcript.pyannote[37].end 139.40159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 140.09346875
transcript.pyannote[38].end 147.33284375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 147.68721875
transcript.pyannote[39].end 152.31096875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 152.26034375
transcript.pyannote[40].end 158.90909375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 156.78284375
transcript.pyannote[41].end 157.17096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 158.72346875
transcript.pyannote[42].end 160.29284375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 159.48284375
transcript.pyannote[43].end 160.34346875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 160.34346875
transcript.pyannote[44].end 163.22909375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 163.44846875
transcript.pyannote[45].end 170.63721875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 164.34284375
transcript.pyannote[46].end 164.74784375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 170.63721875
transcript.pyannote[47].end 190.29659375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 180.44159375
transcript.pyannote[48].end 181.23471875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 190.29659375
transcript.pyannote[49].end 195.29159375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 195.49409375
transcript.pyannote[50].end 196.81034375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 196.96221875
transcript.pyannote[51].end 197.41784375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 197.41784375
transcript.pyannote[52].end 198.90284375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 198.97034375
transcript.pyannote[53].end 204.08346875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 203.98221875
transcript.pyannote[54].end 207.79596875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 207.44159375
transcript.pyannote[55].end 210.19221875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 209.48346875
transcript.pyannote[56].end 212.31846875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 212.13284375
transcript.pyannote[57].end 216.25034375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 216.50346875
transcript.pyannote[58].end 227.69159375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 216.63846875
transcript.pyannote[59].end 216.87471875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 219.42284375
transcript.pyannote[60].end 219.87846875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 222.12284375
transcript.pyannote[61].end 222.67971875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 227.69159375
transcript.pyannote[62].end 228.07971875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 227.70846875
transcript.pyannote[63].end 230.98221875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 231.43784375
transcript.pyannote[64].end 246.18659375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 234.61034375
transcript.pyannote[65].end 234.81284375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 245.59596875
transcript.pyannote[66].end 246.62534375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 246.62534375
transcript.pyannote[67].end 248.93721875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 249.64596875
transcript.pyannote[68].end 259.02846875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 259.29846875
transcript.pyannote[69].end 262.77471875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 262.63971875
transcript.pyannote[70].end 265.27221875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 265.27221875
transcript.pyannote[71].end 283.24409375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 283.32846875
transcript.pyannote[72].end 285.03284375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 285.87659375
transcript.pyannote[73].end 289.20096875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 289.43721875
transcript.pyannote[74].end 294.85409375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 295.00596875
transcript.pyannote[75].end 296.44034375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 295.27596875
transcript.pyannote[76].end 295.41096875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 296.87909375
transcript.pyannote[77].end 299.10659375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 299.30909375
transcript.pyannote[78].end 303.19034375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 299.37659375
transcript.pyannote[79].end 299.71409375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 303.49409375
transcript.pyannote[80].end 308.38784375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 308.74221875
transcript.pyannote[81].end 322.39409375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 322.39409375
transcript.pyannote[82].end 343.16721875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 324.82409375
transcript.pyannote[83].end 325.06034375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 327.43971875
transcript.pyannote[84].end 328.97534375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 343.16721875
transcript.pyannote[85].end 351.79034375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 344.21346875
transcript.pyannote[86].end 344.41596875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 346.84596875
transcript.pyannote[87].end 347.13284375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 351.23346875
transcript.pyannote[88].end 352.36409375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 352.36409375
transcript.pyannote[89].end 356.86971875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 357.03846875
transcript.pyannote[90].end 373.40721875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 360.70034375
transcript.pyannote[91].end 361.64534375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 373.40721875
transcript.pyannote[92].end 377.76096875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 374.38596875
transcript.pyannote[93].end 374.77409375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 377.38971875
transcript.pyannote[94].end 379.14471875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 378.33471875
transcript.pyannote[95].end 384.86534375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 383.93721875
transcript.pyannote[96].end 386.24909375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 385.20284375
transcript.pyannote[97].end 389.67471875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 387.51471875
transcript.pyannote[98].end 388.32471875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 389.89409375
transcript.pyannote[99].end 391.63221875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 391.63221875
transcript.pyannote[100].end 397.79159375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 391.66596875
transcript.pyannote[101].end 391.69971875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 392.17221875
transcript.pyannote[102].end 392.50971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 396.15471875
transcript.pyannote[103].end 397.09971875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 397.96034375
transcript.pyannote[104].end 398.23034375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 398.68596875
transcript.pyannote[105].end 400.50846875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 401.52096875
transcript.pyannote[106].end 403.86659375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 403.96784375
transcript.pyannote[107].end 406.44846875
transcript.whisperx[0].start 0.089
transcript.whisperx[0].end 28.529
transcript.whisperx[0].text 主委謝謝黃主委主委好你們今晚會的辦公地點應該在我們板橋吧是板橋高鐵站樓上我知道但是呢包括剛剛大家提關心的亞洲資產管理中心包括探權交易所全部都移到高雄去設立那你在板橋你應該知道我們板橋其實最近發展也不錯不管也都有相關的條件為什麼你什麼都想到高雄啊就不會想到你的所在地板橋
transcript.whisperx[1].start 29.629
transcript.whisperx[1].end 50.34
transcript.whisperx[1].text 沒問題昨天那個我想那個前天院長在參加的活動他講說他希望我們這個所謂的金融資產管理專業能夠遍地開花各個縣市如果說願意提出他們的特色那我們金管會都很樂意的去協助跟配合所以你現在設到高雄都是高雄提出來的需求
transcript.whisperx[2].start 51.3
transcript.whisperx[2].end 73.165
transcript.whisperx[2].text 那為什麼高雄永遠都知道你們要幹嘛沒有沒有他們是兩三年前我們他們就已經在規劃這件事情然後你們就好我是建議啦因為相信我不需要去跟您強調板橋的優勢啦因為你所在地就在那邊啦對啦那這個希望說你在設立相關的中心的時候未來可能有別的東西的時候可以考慮一下你們辦公的所在地
transcript.whisperx[3].start 76.146
transcript.whisperx[3].end 95.577
transcript.whisperx[3].text 第二個我想問一個問題是之前郭志輝、經濟部長郭志輝說雲豹能源炒股票故意放假消息出去然後股價就漲了非常多然後後來證交所有講說如果金茶有這個問題的話就有刑責要移送減掉那現在已經一個月了我不知道茶怎麼樣
transcript.whisperx[4].start 96.997
transcript.whisperx[4].end 112.053
transcript.whisperx[4].text 現在的話可不可以請鎮議員我們確實交易所按照程序在辦理我請我們的鎮議局局長跟您簡單回答跟委員報告這個事情其實在鎮交所已經進行查處了所以現在的狀況是怎樣
transcript.whisperx[5].start 114.589
transcript.whisperx[5].end 138.809
transcript.whisperx[5].text 查處的結果認為是說他的資訊沒有控管得很好誰的資訊沒有控管得很好銀豹公司對重大信息的控制沒有控制得很好對重大信息也就是說他公司對外發布的信息會讓人家聯想說你是不是有跟所以你的意思是說確實銀豹公司有跟別人講說那個回答要來這邊設廠然後需要多少電
transcript.whisperx[6].start 140.17
transcript.whisperx[6].end 162.944
transcript.whisperx[6].text 不是因為是他回答並沒有跟他口頭承諾他只是他們的發言人對外講的快over所以是他們確實發言人對外講什麼可不可以講明白一點也就是說他們對外說他們跟那些公司有做聯繫事實上公司並沒有正面回答是不是對沒錯所以他們有報他們有講假消息
transcript.whisperx[7].start 163.684
transcript.whisperx[7].end 190.102
transcript.whisperx[7].text 因為是說外面的媒體看到他有對外類似這種言論所以我們後來請公司對外發言要審慎審慎所以確實雲包公司有對外發言不審慎然後造成股票的波動然後所以郭志威講的是正確的是這個意思嗎是的郭志威講的是正確那如果郭志威講的是正確雲包公司確實有問題然後影響股價的話那你們的你們現在怎麼處理營收減掉是不是
transcript.whisperx[8].start 190.322
transcript.whisperx[8].end 215.873
transcript.whisperx[8].text 沒有那個就是證交所對公司作為警告甚至要發言他所以只有警告警告對發言他對他處罰有處罰但是因為當時你講說要移送檢調啊所以有刑責啊涉及證交法如果查屬是屬實的話我們就會移送的話你現在不是在查嗎我現在就在問你查是屬實他查的結果但是他對外的發言沒有就是查的不屬實不是屬實所以不用移送
transcript.whisperx[9].start 216.753
transcript.whisperx[9].end 223.36
transcript.whisperx[9].text 但是呢他發言卻有不恰當所以警告他他發言精準是這個意思嗎是的就他還沒有到不實
transcript.whisperx[10].start 224.281
transcript.whisperx[10].end 248.558
transcript.whisperx[10].text 但是發言確實有讓大家誤會所以就用警告的方式就是高高舉起輕輕放下再來我問一下主委因為最近金管會感覺上政策上面是推廣ETF說明年又要推什麼新的ETF然後有很多新型的商品出來主動式ETF但是因為今年
transcript.whisperx[11].start 249.71
transcript.whisperx[11].end 265.981
transcript.whisperx[11].text 一開始的時候ETF非常的熱門尤其是那種月配息的那一種所以很多人去買但是有一些人到像年尾的時候發現被套牢了然後那現在ETF的規模是多大整個市場的規模是多大現在大概是國內應該是6兆左右6兆左右
transcript.whisperx[12].start 266.741
transcript.whisperx[12].end 283.806
transcript.whisperx[12].text 好那之前的ETF有的已經出現被套牢狀況好像已經不是大家一開始講的那個樣子然後呢又一直要推新的ETF出來我想問一下金管會這邊有沒有什麼對於ETF的在行銷上面對投資人的保護的部分有什麼措施嗎其實啊剛剛講我們
transcript.whisperx[13].start 285.959
transcript.whisperx[13].end 308.062
transcript.whisperx[13].text 推動商品多元化這是我們一個很重要當然是穩健剛剛比如說我們對ETF如果委員有注意前陣子我們對那個廣告網紅這些東西我們都有定下規矩而且我們也裁罰了還就像我們對這個ETF的這個誤導的部分我們在整個整個行銷管理上面是真的有在發布一些規定來管理因為
transcript.whisperx[14].start 309.023
transcript.whisperx[14].end 329.993
transcript.whisperx[14].text 畢竟剛剛講說過去我們都是被動式的ETF那現在市場上呢我們希望它能夠增加一個主動式ETF當然我們在做交易宣導跟這個在銷售管控上我們一定會嚴格的把關一定會但是因為我聽不出來怎麼把關啊因為時間關係沒關係時間關係你再補一個書面報告給我好不好因為好不好然後最後一個問題就好
transcript.whisperx[15].start 331.374
transcript.whisperx[15].end 355.909
transcript.whisperx[15].text 因為我知道金管會現在也很認真在打詐有一個措施就是請民間的銀行不要對那個社群平台下廣告那請問一下現在民營銀行的配合程度是怎麼樣那現在是因為他們銀行公會理事長他們自發性的我們其實上他們是自發性的去那很多的銀行大家都有配合就對了其實應該也蠻多金融機構配合但我們金融機構的家族範圍非常廣
transcript.whisperx[16].start 357.21
transcript.whisperx[16].end 383.106
transcript.whisperx[16].text 各自有不同的做法這不是你們主推的啦是他們主動啦這個是因為我們不會去介入他們的廣告政策這不在我們的監理範圍是他們自覺說他們的他們的名字常會被炸彈用他就希望用這樣的方式自清的方式那是他們的自發性的行為他們自發性的行為所以金管會還是會拿很多其他的方法來主張那當然我們在政策上我是覺得說用這種方法當然可能一定有效果但那個效果不是
transcript.whisperx[17].start 383.726
transcript.whisperx[17].end 385.908
transcript.whisperx[17].text 委員會主管中央財政委員會主管中央財政委員會主管中央財政委員會
IVOD_ID 158258
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158258
日期 2024-12-19
會議資料.會議代碼 委員會-11-2-20-11
會議資料.屆 11
會議資料.會期 2
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.標題 第11屆第2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 2024-12-19T12:10:38+08:00
結束時間 2024-12-19T12:17:25+08:00
支援功能[0] ai-transcript