iVOD / 163203

Field Value
IVOD_ID 163203
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163203
日期 2025-07-18
會議資料.會議代碼 院會-11-3-21
會議資料.會議代碼:str 第11屆第3會期第21次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 21
會議資料.種類 院會
會議資料.標題 第11屆第3會期第21次會議
影片種類 Clip
開始時間 2025-07-18T11:23:27+08:00
結束時間 2025-07-18T11:26:43+08:00
影片長度 00:03:16
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/41a318957b8c3a9258abc7da9d7664e554375a2e09ecf523962ca24c975b3e54267846fbddf791135ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 謝龍介
委員發言時間 11:23:27 - 11:26:43
會議時間 2025-07-18T09:00:00+08:00
會議名稱 第11屆第3會期第21次會議(事由:第11屆第3會期第21次會議 一、討論事項:本院台灣民眾黨黨團,建請院會作成決議:「行政院主計總處應依立法院審議中華民國114年度中央政府總預算案通案刪減之決議意旨,由中央各機關及所屬編列之預算刪減調整,並立即將一般性補助款足額撥付予地方政府。」是否有當?請公決案等11案。二、7月18日上午9時至10時為國是論壇時間。三、7月22日下午5時至6時為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 9.49784375
transcript.pyannote[0].end 11.52284375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 12.23159375
transcript.pyannote[1].end 12.78846875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 14.83034375
transcript.pyannote[2].end 20.98971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 21.56346875
transcript.pyannote[3].end 22.52534375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 23.60534375
transcript.pyannote[4].end 26.40659375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 28.34721875
transcript.pyannote[5].end 29.93346875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 30.20346875
transcript.pyannote[6].end 32.05971875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 32.71784375
transcript.pyannote[7].end 34.20284375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 34.92846875
transcript.pyannote[8].end 36.00846875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 36.36284375
transcript.pyannote[9].end 37.44284375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 38.20221875
transcript.pyannote[10].end 40.29471875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 41.18909375
transcript.pyannote[11].end 42.80909375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 44.24346875
transcript.pyannote[12].end 45.05346875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 45.94784375
transcript.pyannote[13].end 47.02784375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 48.22596875
transcript.pyannote[14].end 49.81221875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 50.94284375
transcript.pyannote[15].end 51.75284375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 52.47846875
transcript.pyannote[16].end 53.60909375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 54.28409375
transcript.pyannote[17].end 55.80284375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 57.08534375
transcript.pyannote[18].end 59.00909375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 59.16096875
transcript.pyannote[19].end 60.34221875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 61.91159375
transcript.pyannote[20].end 62.55284375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 63.27846875
transcript.pyannote[21].end 65.74221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 66.28221875
transcript.pyannote[22].end 66.97409375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 68.50971875
transcript.pyannote[23].end 69.26909375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 69.37034375
transcript.pyannote[24].end 72.55971875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 73.40346875
transcript.pyannote[25].end 76.23846875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 77.20034375
transcript.pyannote[26].end 81.68909375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 82.90409375
transcript.pyannote[27].end 84.03471875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 84.35534375
transcript.pyannote[28].end 84.96284375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 85.16534375
transcript.pyannote[29].end 86.65034375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 87.59534375
transcript.pyannote[30].end 89.33346875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 90.07596875
transcript.pyannote[31].end 92.43846875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 93.13034375
transcript.pyannote[32].end 94.21034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 94.91909375
transcript.pyannote[33].end 96.65721875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 97.45034375
transcript.pyannote[34].end 99.00284375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 99.84659375
transcript.pyannote[35].end 101.21346875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 101.98971875
transcript.pyannote[36].end 102.68159375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 103.57596875
transcript.pyannote[37].end 104.85846875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 105.26346875
transcript.pyannote[38].end 109.09409375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 110.05596875
transcript.pyannote[39].end 115.03409375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 115.37159375
transcript.pyannote[40].end 118.20659375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 118.72971875
transcript.pyannote[41].end 124.36596875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 125.19284375
transcript.pyannote[42].end 127.65659375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 128.17971875
transcript.pyannote[43].end 130.42409375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 131.11596875
transcript.pyannote[44].end 131.72346875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 132.55034375
transcript.pyannote[45].end 133.73159375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 134.52471875
transcript.pyannote[46].end 136.04346875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 136.63409375
transcript.pyannote[47].end 138.30471875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 138.89534375
transcript.pyannote[48].end 140.26221875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 140.88659375
transcript.pyannote[49].end 142.32096875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 142.84409375
transcript.pyannote[50].end 144.63284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 145.27409375
transcript.pyannote[51].end 147.73784375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 148.10909375
transcript.pyannote[52].end 153.47534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 154.36971875
transcript.pyannote[53].end 164.15721875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 164.93346875
transcript.pyannote[54].end 167.81909375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 168.19034375
transcript.pyannote[55].end 169.15221875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 169.62471875
transcript.pyannote[56].end 170.50221875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 170.65409375
transcript.pyannote[57].end 174.72096875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 175.09221875
transcript.pyannote[58].end 176.71221875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 177.01596875
transcript.pyannote[59].end 179.85096875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 180.34034375
transcript.pyannote[60].end 183.36096875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 183.68159375
transcript.pyannote[61].end 184.42409375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 184.71096875
transcript.pyannote[62].end 186.17909375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 186.31409375
transcript.pyannote[63].end 191.62971875
transcript.whisperx[0].start 10.314
transcript.whisperx[0].end 26.16
transcript.whisperx[0].text 各位全國的鄉親 大家好就算他是非常心中在看待這個美國對全世界的關稅的課金所以我們的企業要面臨到很多挑戰但是我們的鄉親因為必須對著美國最好給我們的通牒什麼樣的措施 大家都很緊張
transcript.whisperx[1].start 38.38
transcript.whisperx[1].end 55.584
transcript.whisperx[1].text 當然 立法院必須要避嫌尤其我們的老總統讓各位不會過境美國有人說為了關稅那麼我們要犧牲很多要買美金的工資也要去採購石油 投資天然氣最後 要把我們台灣親友的包括
transcript.whisperx[2].start 68.85
transcript.whisperx[2].end 78.836
transcript.whisperx[2].text 甚至採購到婚姻發展的器材全部都可以說是傾家動山但是我們對企業的幫忙現在只有通過930億萬萬不及企業面臨的挑戰
transcript.whisperx[3].start 87.665
transcript.whisperx[3].end 106.819
transcript.whisperx[3].text 所以這個宴會,我們是米霧中霧,不喝比較好喝,好聽就要這割火來牛,這麼嚴峻的挑戰,所以大家在這裡太平,有機,專民通過,要退稅一萬塊給北省,這是人民的錢嗎?
transcript.whisperx[4].start 110.12
transcript.whisperx[4].end 123.748
transcript.whisperx[4].text 但是我們的行政委按照施政有可能會送禮物給他所以要讓人民趕快拿到這個一萬元單臺行政委不管是給他也好 或者是要來協商也好立法院當然有必無法 要當時做萬全的準備
transcript.whisperx[5].start 131.212
transcript.whisperx[5].end 152.903
transcript.whisperx[5].text 所以來我講 行政很謙遜全世界都在退水 日本也在退水 韓國也在退水新加坡也在退水 澳門 香港都在退水有人退兩萬 有人退四萬 有人退四千 有人退萬五
transcript.whisperx[6].start 154.404
transcript.whisperx[6].end 171.818
transcript.whisperx[6].text 那麼我們台灣過去四年 酬收一條八千七百億 整個五年就酬收五千兩百八十三億這個月外地割剩這幾個禮拜 不是沒有錢錢有 建設我們也要通過 採購武器我們也要通過
transcript.whisperx[7].start 175.16
transcript.whisperx[7].end 191.446
transcript.whisperx[7].text 中央共同合作,所以這個宴會尤其必要性,我們很好,拿總統出國的方法,但是不可以委託,要提到更好的關稅,傾家動森,這樣我們有哪站不三的條啦。