iVOD / 165272

Field Value
IVOD_ID 165272
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165272
日期 2025-11-12
會議資料.會議代碼 委員會-11-4-20-7
會議資料.會議代碼:str 第11屆第4會期財政委員會第7次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 7
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4會期財政委員會第7次全體委員會議
影片種類 Clip
開始時間 2025-11-12T11:14:46+08:00
結束時間 2025-11-12T11:23:00+08:00
影片長度 00:08:14
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a35f0de19abcdbe3f3961f9d90974bb8906ee7c1e9a76e5aa983a902744326175a7e32037ed90a385ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 顏寬恒
委員發言時間 11:14:46 - 11:23:00
會議時間 2025-11-12T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政委員會第7次全體委員會議(事由:邀請金融監督管理委員會彭主任委員金隆就「推動普惠金融與金融科技概況及相關措施」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 11.40471875
transcript.pyannote[0].end 14.29034375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 14.81346875
transcript.pyannote[1].end 16.43346875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 17.02409375
transcript.pyannote[2].end 17.76659375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 21.19221875
transcript.pyannote[3].end 22.32284375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 22.79534375
transcript.pyannote[4].end 31.18221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 31.43534375
transcript.pyannote[5].end 34.72596875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 35.06346875
transcript.pyannote[6].end 37.57784375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 37.98284375
transcript.pyannote[7].end 40.21034375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 40.48034375
transcript.pyannote[8].end 42.65721875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 43.01159375
transcript.pyannote[9].end 44.04096875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 44.46284375
transcript.pyannote[10].end 44.74971875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 45.54284375
transcript.pyannote[11].end 48.10784375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 48.36096875
transcript.pyannote[12].end 48.78284375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 48.79971875
transcript.pyannote[13].end 52.34346875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 52.64721875
transcript.pyannote[14].end 53.55846875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 53.92971875
transcript.pyannote[15].end 54.41909375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 54.89159375
transcript.pyannote[16].end 58.51971875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 59.00909375
transcript.pyannote[17].end 60.61221875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 60.78096875
transcript.pyannote[18].end 63.58221875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 64.20659375
transcript.pyannote[19].end 64.89846875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 65.05034375
transcript.pyannote[20].end 66.29909375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 66.78846875
transcript.pyannote[21].end 68.52659375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 69.42096875
transcript.pyannote[22].end 70.70346875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 71.83409375
transcript.pyannote[23].end 82.38096875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 82.87034375
transcript.pyannote[24].end 83.22471875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 83.56221875
transcript.pyannote[25].end 84.86159375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 84.96284375
transcript.pyannote[26].end 86.61659375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 87.12284375
transcript.pyannote[27].end 88.48971875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 88.59096875
transcript.pyannote[28].end 89.29971875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 89.75534375
transcript.pyannote[29].end 91.10534375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 94.10909375
transcript.pyannote[30].end 107.03534375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 108.45284375
transcript.pyannote[31].end 111.45659375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 111.84471875
transcript.pyannote[32].end 117.16034375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 115.82721875
transcript.pyannote[33].end 116.78909375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 117.09284375
transcript.pyannote[34].end 142.18596875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 142.48971875
transcript.pyannote[35].end 143.82284375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 144.02534375
transcript.pyannote[36].end 154.01534375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 147.34971875
transcript.pyannote[37].end 147.50159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 154.26846875
transcript.pyannote[38].end 160.74846875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 158.28471875
transcript.pyannote[39].end 159.87096875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 160.91721875
transcript.pyannote[40].end 164.47784375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 163.41471875
transcript.pyannote[41].end 165.84471875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 165.22034375
transcript.pyannote[42].end 168.96659375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 169.30409375
transcript.pyannote[43].end 170.04659375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 170.24909375
transcript.pyannote[44].end 171.58221875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 171.95346875
transcript.pyannote[45].end 174.90659375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 175.22721875
transcript.pyannote[46].end 176.84721875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 177.15096875
transcript.pyannote[47].end 178.36596875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 178.61909375
transcript.pyannote[48].end 181.50471875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 181.89284375
transcript.pyannote[49].end 182.80409375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 183.12471875
transcript.pyannote[50].end 189.46971875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 189.90846875
transcript.pyannote[51].end 194.98784375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 195.13971875
transcript.pyannote[52].end 196.38846875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 196.86096875
transcript.pyannote[53].end 202.31159375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 202.19346875
transcript.pyannote[54].end 203.47596875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 203.18909375
transcript.pyannote[55].end 213.04409375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 213.41534375
transcript.pyannote[56].end 214.41096875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 214.76534375
transcript.pyannote[57].end 217.12784375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 217.24596875
transcript.pyannote[58].end 221.48159375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 221.78534375
transcript.pyannote[59].end 223.05096875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 223.35471875
transcript.pyannote[60].end 226.03784375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 226.22346875
transcript.pyannote[61].end 228.40034375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 229.36221875
transcript.pyannote[62].end 235.99409375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 236.31471875
transcript.pyannote[63].end 241.10721875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 241.37721875
transcript.pyannote[64].end 243.40221875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 243.60471875
transcript.pyannote[65].end 244.39784375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 245.81534375
transcript.pyannote[66].end 247.26659375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 247.45221875
transcript.pyannote[67].end 249.46034375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 249.96659375
transcript.pyannote[68].end 252.70034375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 253.67909375
transcript.pyannote[69].end 255.56909375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 255.99096875
transcript.pyannote[70].end 257.23971875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 257.56034375
transcript.pyannote[71].end 258.64034375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 258.91034375
transcript.pyannote[72].end 261.71159375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 262.01534375
transcript.pyannote[73].end 262.67346875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 263.06159375
transcript.pyannote[74].end 263.82096875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 264.19221875
transcript.pyannote[75].end 269.47409375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 270.08159375
transcript.pyannote[76].end 272.03909375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 272.24159375
transcript.pyannote[77].end 272.86596875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 273.22034375
transcript.pyannote[78].end 274.31721875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 274.73909375
transcript.pyannote[79].end 277.21971875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 277.38846875
transcript.pyannote[80].end 277.92846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 278.23221875
transcript.pyannote[81].end 280.25721875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 280.45971875
transcript.pyannote[82].end 281.75909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 282.06284375
transcript.pyannote[83].end 285.89346875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 286.18034375
transcript.pyannote[84].end 294.76971875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 294.97221875
transcript.pyannote[85].end 298.09409375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 298.48221875
transcript.pyannote[86].end 300.87846875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 301.46909375
transcript.pyannote[87].end 302.09346875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 302.49846875
transcript.pyannote[88].end 307.12221875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 306.76784375
transcript.pyannote[89].end 321.93846875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 322.19159375
transcript.pyannote[90].end 324.25034375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 324.73971875
transcript.pyannote[91].end 327.79409375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 328.16534375
transcript.pyannote[92].end 331.03409375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 331.40534375
transcript.pyannote[93].end 358.37159375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 332.85659375
transcript.pyannote[94].end 333.14346875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 358.57409375
transcript.pyannote[95].end 374.60534375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 375.29721875
transcript.pyannote[96].end 398.34846875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 398.77034375
transcript.pyannote[97].end 399.83346875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 400.18784375
transcript.pyannote[98].end 401.40284375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 401.68971875
transcript.pyannote[99].end 404.89596875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 405.35159375
transcript.pyannote[100].end 408.72659375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 409.14846875
transcript.pyannote[101].end 416.10096875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 416.30346875
transcript.pyannote[102].end 433.80284375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 434.20784375
transcript.pyannote[103].end 436.90784375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 436.97534375
transcript.pyannote[104].end 461.35971875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 461.68034375
transcript.pyannote[105].end 462.52409375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 462.74346875
transcript.pyannote[106].end 465.84846875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 466.27034375
transcript.pyannote[107].end 482.20034375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 482.36909375
transcript.pyannote[108].end 494.28284375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 484.56284375
transcript.pyannote[109].end 485.38971875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 491.59971875
transcript.pyannote[110].end 492.81471875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 495.14346875
transcript.pyannote[111].end 495.31221875
transcript.whisperx[0].start 11.735
transcript.whisperx[0].end 17.657
transcript.whisperx[0].text 主席各位委員同事各位列席觀眾大家好主席有請金管會彭主委請彭主委
transcript.whisperx[1].start 21.386
transcript.whisperx[1].end 43.303
transcript.whisperx[1].text 主委好請教主委上個星期衛福部宣布將調整補充保費將利息 股利 租金等補充保費從現行的每月結算改採年度計算一年累計逾兩萬就要收取此外還有單筆扣繳上限一千萬提高到五千萬高額獎金
transcript.whisperx[2].start 45.598
transcript.whisperx[2].end 70.499
transcript.whisperx[2].text 扣費門檻調整為最低工資4倍那社保師估計影響高達480萬人那高額這個最快就是116年就要上路結果這個一公佈7個小時就髮夾彎大轉彎行政院長也丟包啦就這個收回這個政策那衛福部
transcript.whisperx[3].start 71.894
transcript.whisperx[3].end 90.713
transcript.whisperx[3].text 竟然說他們沒有告知金管會這麼重大的一個政策理由是說他們認為台灣股市不錯他們認為不會影響到太多所以他們只是請教財務專家而已但是主委身為中華民國
transcript.whisperx[4].start 94.324
transcript.whisperx[4].end 105.197
transcript.whisperx[4].text 掌管所有投資人相關事務的金管會竟然沒有被告知要修這個法是衛福部自己的主意自己的想法還是後面是什麼樣的打算
transcript.whisperx[5].start 108.476
transcript.whisperx[5].end 133.127
transcript.whisperx[5].text 沒有告知我們今晚會是衛福部故意這麼做還是不把我們今晚會放在眼裡請主委說明一下當然不是我想石部長他在要改革健保制度那我覺得他確實也是承擔了很大很大的責任因為他自己主政我能體會而且他也解釋了就是說這個過程實際上還在討論中
transcript.whisperx[6].start 134.387
transcript.whisperx[6].end 160.374
transcript.whisperx[6].text 所以這個沒有跟我們溝通也不是說最後的定案我想我剛才提到委員就是說我們是資本市場的監理者我們捍衛是整個市場的公平性跟透明度我想這部分的話我們會把我們對於這件事情的專業的影響跟可能的項目會是什麼會跟衛福部做充分的說明
transcript.whisperx[7].start 161.535
transcript.whisperx[7].end 180.57
transcript.whisperx[7].text 完全沒有跟金管會來做橫向的溝通對不對 那就都要公佈結果七個小時就馬上收回成命這樣子真的是太不應該了那我想金管會一定要積極的捍衛投資人的權益更重要的就是要主動去這樣子做一些部會的溝通不然他們說財務專家是什麼專家
transcript.whisperx[8].start 184.052
transcript.whisperx[8].end 201.648
transcript.whisperx[8].text 是未到來的何方神聖大家說來者好行所以讓民眾無法接受所以說這個部分再請主委多注意好不好是再請教主委普惠金融的這個核心精神是金融服務不該是少數人的特權
transcript.whisperx[9].start 202.668
transcript.whisperx[9].end 228.031
transcript.whisperx[9].text 對 應該普惠於全民是的 應該是以合理成本安全便捷的取得基本金融服務但實際上我們這些銀髮族就是長者族群或者是偏鄉的這些地區居民他們面臨到許多障礙比如說像部分的老年人口他們連手機都可能還是傳統的那種這種翻蓋 掀蓋型的手機
transcript.whisperx[10].start 229.412
transcript.whisperx[10].end 252.229
transcript.whisperx[10].text 可能也不知道要怎麼樣去提款卡去提款機領錢還要借助子女的幫忙如果假設子女因為工作或不在身邊那他就可能就沒有辦法去操作更何況是現在很多複雜的數位帳戶還有這些行動支付金融工具對長者來說是更加的困難所以對於
transcript.whisperx[11].start 253.883
transcript.whisperx[11].end 269.251
transcript.whisperx[11].text 數位帳戶的管理跟操作他們特別感到陌生使他們在使用這些金融服務的時候會產生抗拒所以說我想很容易因為這樣子的關係所以他對這些金融資訊就沒辦法掌握
transcript.whisperx[12].start 270.131
transcript.whisperx[12].end 297.993
transcript.whisperx[12].text 那很容易就會變成詐騙集團的對象然後趁虛而入那所以我看尤其是我看了一下我們在地方我們這些社區的社區大學他們一些課程完全沒有跟金融教育相關的課程所以我在這邊就是說想要建立金管會就是說針對我們這些有心想要學習金融相關知識的長者社區的長者因為沒有管道嘛那可不可以我們新闢一個管道就是說跟我們地方政府
transcript.whisperx[13].start 299.814
transcript.whisperx[13].end 327.497
transcript.whisperx[13].text 來或者是社區大學來研究開闢有關於這種高齡者金融安全的課程可不可以主委這是一個很好的建議就是說其實我們過去也有跟地方政府做合作只是說剛剛委員提到社區大學常態性的去做這些課程我想這個可能是讓我們在地鄉親能夠更便利的去參與我想這個很謝謝委員的建議我會請我們的相關單位在做金融知識推廣的時候把這個納入考慮
transcript.whisperx[14].start 328.157
transcript.whisperx[14].end 347.39
transcript.whisperx[14].text 好的再請主委一定要把放心事放在這個地方再來我再請教因為時間有限我認為說我國的普惠金融方面還有很多挑戰根據經濟部發布的2024年中小企業白筆書我國中小企業加速在2023年突破了167.4萬創歷史新高佔全體企業達98%以上就業人口數916萬7千人佔全體就業人口數近八成
transcript.whisperx[15].start 359.498
transcript.whisperx[15].end 370.767
transcript.whisperx[15].text 銷售金額超過28兆佔整體企業銷售額比重五成以上可以說我們台灣的護國神山就是我們這些中小企業中小企業
transcript.whisperx[16].start 375.75
transcript.whisperx[16].end 400.975
transcript.whisperx[16].text 經濟市場非常的重要但是我們中小企業取得資金的成本相較於一般自然人還有這些大型企業比較高高出很多那大型企業跟中小企業的這個資他們之間的這種資金濃通的管道落差很大但是中小企業扮演著非常重要的角色所以我認為說金管會應該更重視中小企業這個籌措力薄弱的問題
transcript.whisperx[17].start 401.795
transcript.whisperx[17].end 418.133
transcript.whisperx[17].text 對於中小企業未來能夠有效受惠的方法跟政策主委你有什麼樣的建議呢其實中小企業的融資還有這些的資助一直都是金融監理政策很重要的一環剛剛早上也有其他委員提到因為
transcript.whisperx[18].start 418.934
transcript.whisperx[18].end 433.421
transcript.whisperx[18].text 我們大部分的金融機構都是盈利機構居多所以它當然會如果說沒有做任何的這些的輔助跟管制的情況之下他們都會很正常的會主要以容易做獲利高的這個作為一個
transcript.whisperx[19].start 434.801
transcript.whisperx[19].end 459.236
transcript.whisperx[19].text 主要對象但是剛才委員提到沒有錯中小企業是我們整個企業的骨幹我有跟委員報告就是說我們過去金管會在過去20年來每年都推出計畫去促進金融業鼓勵金融業去加大對中小企業的支持剛好早上委員提到就是20年前我們大概這個比重大概是35對65就是對中小企業的放款大概占35對非中小企業大概占65現在20年後這次翻轉過來
transcript.whisperx[20].start 461.758
transcript.whisperx[20].end 481.749
transcript.whisperx[20].text 就是我們的銀行的放款裡面對中小企業的放款的比重是提高到了大概六成多對其他的反而是到三四成這個是一個好的現象但是實際上中小企業差距也很大我們也知道有些困難的很困難所以才會有一些像信保機制或很多東西的方式我們來支持這樣
transcript.whisperx[21].start 482.389
transcript.whisperx[21].end 492.699
transcript.whisperx[21].text 好 主委我們一起來努力好不好是 一定的台灣的中產企業來給他們最大的一個鼓勵跟一些實質有效的一些政策好 謝謝謝謝委員 謝謝