iVOD / 163105

Field Value
IVOD_ID 163105
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163105
日期 2025-07-11
會議資料.會議代碼 院會-11-3-20
會議資料.會議代碼:str 第11屆第3會期第20次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 20
會議資料.種類 院會
會議資料.標題 第11屆第3會期第20次會議
影片種類 Clip
開始時間 2025-07-11T16:29:51+08:00
結束時間 2025-07-11T16:32:43+08:00
影片長度 00:02:52
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8f9418b77881b51d7a016b621731c1ed97a80d7271198c9e26f686439637ab55d451b7c3137b8da05ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 顏寬恒
委員發言時間 16:29:51 - 16:32:43
會議時間 2025-07-11T09:00:00+08:00
會議名稱 第11屆第3會期第20次會議(事由:一、討論事項:本院台灣民眾黨黨團,建請院會作成決議:「邀請行政院院長率同相關部會首長就『新世代打擊詐欺策略行動綱領2.0執行成效』進行專案報告並備質詢。」是否有當?請公決案等13案。二、7月11日上午9時至10時為國是論壇時間。三、7月15日下午5時至6時為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.65096875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 3.23721875
transcript.pyannote[1].end 7.52346875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 13.59846875
transcript.pyannote[2].end 14.59409375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 15.10034375
transcript.pyannote[3].end 19.80846875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 20.50034375
transcript.pyannote[4].end 24.34784375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 24.61784375
transcript.pyannote[5].end 26.06909375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 26.45721875
transcript.pyannote[6].end 28.85346875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 29.88284375
transcript.pyannote[7].end 31.18221875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 31.87409375
transcript.pyannote[8].end 36.36284375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 36.68346875
transcript.pyannote[9].end 39.45096875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 39.94034375
transcript.pyannote[10].end 40.53096875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 41.37471875
transcript.pyannote[11].end 45.49221875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 45.88034375
transcript.pyannote[12].end 46.40346875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 47.33159375
transcript.pyannote[13].end 49.94721875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 50.77409375
transcript.pyannote[14].end 51.92159375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 52.64721875
transcript.pyannote[15].end 56.73096875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 56.93346875
transcript.pyannote[16].end 58.38471875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 59.26221875
transcript.pyannote[17].end 62.43471875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 62.67096875
transcript.pyannote[18].end 65.10096875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 65.64096875
transcript.pyannote[19].end 69.55596875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 70.33221875
transcript.pyannote[20].end 73.38659375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 73.74096875
transcript.pyannote[21].end 75.69846875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 75.76596875
transcript.pyannote[22].end 77.67284375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 78.07784375
transcript.pyannote[23].end 81.45284375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 82.33034375
transcript.pyannote[24].end 85.40159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 85.77284375
transcript.pyannote[25].end 87.76409375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 88.05096875
transcript.pyannote[26].end 90.16034375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 91.67909375
transcript.pyannote[27].end 95.69534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 96.08346875
transcript.pyannote[28].end 99.17159375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 99.66096875
transcript.pyannote[29].end 102.10784375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 102.52971875
transcript.pyannote[30].end 103.39034375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 103.72784375
transcript.pyannote[31].end 105.28034375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 105.39846875
transcript.pyannote[32].end 106.49534375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 106.68096875
transcript.pyannote[33].end 107.38971875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 107.65971875
transcript.pyannote[34].end 108.67221875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 109.61721875
transcript.pyannote[35].end 112.11471875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 112.40159375
transcript.pyannote[36].end 112.99221875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 113.09346875
transcript.pyannote[37].end 113.75159375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 114.12284375
transcript.pyannote[38].end 117.90284375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 118.51034375
transcript.pyannote[39].end 119.92784375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 120.51846875
transcript.pyannote[40].end 123.85971875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 124.65284375
transcript.pyannote[41].end 128.65221875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 130.13721875
transcript.pyannote[42].end 132.31409375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 133.09034375
transcript.pyannote[43].end 133.96784375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 134.17034375
transcript.pyannote[44].end 135.41909375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 136.04346875
transcript.pyannote[45].end 140.65034375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 141.27471875
transcript.pyannote[46].end 142.87784375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 143.13096875
transcript.pyannote[47].end 144.73409375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 145.24034375
transcript.pyannote[48].end 147.04596875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 147.65346875
transcript.pyannote[49].end 152.90159375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 153.42471875
transcript.pyannote[50].end 154.48784375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 154.70721875
transcript.pyannote[51].end 155.80409375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 156.37784375
transcript.pyannote[52].end 157.03596875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 157.57596875
transcript.pyannote[53].end 158.47034375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 158.65596875
transcript.pyannote[54].end 161.13659375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 161.32221875
transcript.pyannote[55].end 163.06034375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 163.39784375
transcript.pyannote[56].end 163.78596875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 163.78596875
transcript.pyannote[57].end 163.80284375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 165.06846875
transcript.pyannote[58].end 167.32971875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 168.30846875
transcript.pyannote[59].end 171.02534375
transcript.whisperx[0].start 7.131
transcript.whisperx[0].end 28.299
transcript.whisperx[0].text 好 謝謝主席今天要審議的就是強化經濟社會及國土安全任性特別條例內容包括經濟支持方案社會支持面向撥補健保基金等其中最重要的就是還稅於民
transcript.whisperx[1].start 29.926
transcript.whisperx[1].end 57.256
transcript.whisperx[1].text 普發現金一萬塊執政黨要撥補台電的一千億元難道會分給因為風災到現在還在努力搶修的基層勞工嗎絕對不會撥補台電的一千億難道能夠保證未來就不會漲電價嗎不可能台電的虧損就是能源政策的錯誤補再多都沒有用所以說還稅於民就是最直接讓民眾度過這次美國關稅的風波
transcript.whisperx[2].start 59.312
transcript.whisperx[2].end 85.209
transcript.whisperx[2].text 目前為了因應台美關稅戰還有全球經濟壓力越來越嚴峻中小企業與基層民眾是首當其衝苦不堪言執政黨卻仍然無視民生的困境我們應該要站在民眾與中小企業的立場今天要透過特別條例普發現金一萬塊編列兩千三百億直接回饋全民
transcript.whisperx[3].start 85.836
transcript.whisperx[3].end 100.302
transcript.whisperx[3].text 真正發揮刺激內需紓困住民的實際活動我們來看看鄰近的國家新加坡將在8月6日發放每人近2萬元台幣的現金補助韓國7月21日也會啟動普發現金兩次追加預算總額高達新台幣9000多億元
transcript.whisperx[4].start 109.653
transcript.whisperx[4].end 127.244
transcript.whisperx[4].text 各國都很積極應對這次的挑戰反觀執政黨對經濟補助僅編列930億根本是杯水車薪連韓國普發現金預算的三分之一都遠遠不及執政黨更是不願意納入2300億的普發現金預算現在產業界都急得跳腳
transcript.whisperx[5].start 133.134
transcript.whisperx[5].end 154.351
transcript.whisperx[5].text 大家都預估衝擊會來得很大更不要說會有多少民眾間接受到裁員失業的影響如果關稅風波持續物價指數飆升痛苦的只會是老百姓所以請大家跟我們一起支持納入2300億的普發現金預算世界各國可以
transcript.whisperx[6].start 154.811
transcript.whisperx[6].end 163.556
transcript.whisperx[6].text 我們一定也可以再說一次還稅於民就是最直接讓民眾度過這次美國關稅風波以上