iVOD / 162015

Field Value
IVOD_ID 162015
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162015
日期 2025-05-28
會議資料.會議代碼 委員會-11-3-15-22
會議資料.會議代碼:str 第11屆第3會期內政委員會第22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 22
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第3會期內政委員會第22次全體委員會議
影片種類 Clip
開始時間 2025-05-28T10:01:20+08:00
結束時間 2025-05-28T10:06:39+08:00
影片長度 00:05:19
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f24935ed0a69a8d2b92d126c33bcaff1fd1a3426710e0a50eed42d906fa9f5dffe95ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 李柏毅
委員發言時間 10:01:20 - 10:06:39
會議時間 2025-05-28T09:00:00+08:00
會議名稱 立法院第11屆第3會期內政委員會第22次全體委員會議(事由:處理114年度中央政府總預算案有關行政院預算解凍案。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 5.86971875
transcript.pyannote[0].end 7.38846875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 8.94096875
transcript.pyannote[1].end 10.02096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 10.67909375
transcript.pyannote[2].end 12.43409375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 14.77971875
transcript.pyannote[3].end 15.79221875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 16.21409375
transcript.pyannote[4].end 25.36034375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 19.03221875
transcript.pyannote[5].end 20.80409375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 25.91721875
transcript.pyannote[6].end 27.73971875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 27.99284375
transcript.pyannote[7].end 29.42721875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 30.42284375
transcript.pyannote[8].end 31.73909375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 32.56596875
transcript.pyannote[9].end 36.22784375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 37.15596875
transcript.pyannote[10].end 40.98659375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 42.06659375
transcript.pyannote[11].end 44.34471875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 45.01971875
transcript.pyannote[12].end 45.82971875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 46.25159375
transcript.pyannote[13].end 49.08659375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 49.91346875
transcript.pyannote[14].end 51.09471875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 51.93846875
transcript.pyannote[15].end 53.38971875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 54.09846875
transcript.pyannote[16].end 55.63409375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 56.02221875
transcript.pyannote[17].end 57.47346875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 58.43534375
transcript.pyannote[18].end 64.17284375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 64.32471875
transcript.pyannote[19].end 71.32784375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 71.80034375
transcript.pyannote[20].end 74.26409375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 74.98971875
transcript.pyannote[21].end 75.90096875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 76.52534375
transcript.pyannote[22].end 77.03159375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 77.25096875
transcript.pyannote[23].end 79.54596875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 79.98471875
transcript.pyannote[24].end 80.42346875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 80.84534375
transcript.pyannote[25].end 83.07284375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 83.98409375
transcript.pyannote[26].end 85.94159375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 86.17784375
transcript.pyannote[27].end 89.67096875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 90.27846875
transcript.pyannote[28].end 93.63659375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 94.39596875
transcript.pyannote[29].end 95.32409375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 95.72909375
transcript.pyannote[30].end 97.01159375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 98.17596875
transcript.pyannote[31].end 102.24284375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 103.03596875
transcript.pyannote[32].end 107.91284375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 108.08159375
transcript.pyannote[33].end 111.42284375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 111.64221875
transcript.pyannote[34].end 113.56596875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 114.66284375
transcript.pyannote[35].end 120.33284375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 120.56909375
transcript.pyannote[36].end 124.70346875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 124.92284375
transcript.pyannote[37].end 127.25159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 127.84221875
transcript.pyannote[38].end 128.73659375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 129.22596875
transcript.pyannote[39].end 130.45784375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 130.81221875
transcript.pyannote[40].end 133.05659375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 134.11971875
transcript.pyannote[41].end 157.03596875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 157.03596875
transcript.pyannote[42].end 164.37659375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 157.20471875
transcript.pyannote[43].end 159.38159375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 164.54534375
transcript.pyannote[44].end 182.11221875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 174.90659375
transcript.pyannote[45].end 175.41284375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 182.19659375
transcript.pyannote[46].end 183.36096875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 183.68159375
transcript.pyannote[47].end 186.63471875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 186.76971875
transcript.pyannote[48].end 199.18971875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 200.20221875
transcript.pyannote[49].end 203.91471875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 204.40409375
transcript.pyannote[50].end 209.63534375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 210.09096875
transcript.pyannote[51].end 213.98909375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 214.44471875
transcript.pyannote[52].end 218.79846875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 219.30471875
transcript.pyannote[53].end 224.75534375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 225.21096875
transcript.pyannote[54].end 227.69159375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 228.01221875
transcript.pyannote[55].end 230.52659375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 230.74596875
transcript.pyannote[56].end 233.10846875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 233.71596875
transcript.pyannote[57].end 236.04471875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 236.24721875
transcript.pyannote[58].end 239.35221875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 239.58846875
transcript.pyannote[59].end 241.37721875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 241.73159375
transcript.pyannote[60].end 245.74784375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 246.32159375
transcript.pyannote[61].end 250.50659375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 251.02971875
transcript.pyannote[62].end 251.41784375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 251.72159375
transcript.pyannote[63].end 254.48909375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 254.64096875
transcript.pyannote[64].end 256.68284375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 257.23971875
transcript.pyannote[65].end 260.78346875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 262.96034375
transcript.pyannote[66].end 265.79534375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 267.33096875
transcript.pyannote[67].end 272.62971875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 273.28784375
transcript.pyannote[68].end 276.20721875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 277.28721875
transcript.pyannote[69].end 280.74659375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 280.99971875
transcript.pyannote[70].end 282.95721875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 283.41284375
transcript.pyannote[71].end 290.17971875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 290.83784375
transcript.pyannote[72].end 296.57534375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 297.25034375
transcript.pyannote[73].end 301.06409375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 301.58721875
transcript.pyannote[74].end 305.45159375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 305.63721875
transcript.pyannote[75].end 308.08409375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 308.33721875
transcript.pyannote[76].end 309.28221875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 309.67034375
transcript.pyannote[77].end 313.04534375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 313.33221875
transcript.pyannote[78].end 314.17596875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 314.36159375
transcript.pyannote[79].end 314.78346875
transcript.whisperx[0].start 6.445
transcript.whisperx[0].end 31.486
transcript.whisperx[0].text 謝謝,有請拱珠衛請秘書長對不起,請拱秘書長因為很早謝謝,拱珠衛以前在負責國家的經濟項目我從去年來這裡以後,覺得所有的部會秘書長最無辜啦我怎麼說你無辜呢?
transcript.whisperx[1].start 32.608
transcript.whisperx[1].end 57.076
transcript.whisperx[1].text 我們內政委員會上一個預算會期一直要排審行政院的預算的時候一直遇到中國國民黨一直安排選罷法甚至在行政院預算要審的前一天我們這裡戒嚴整個內政委員會這一邊的門被封起來走道被封起來
transcript.whisperx[2].start 58.479
transcript.whisperx[2].end 82.879
transcript.whisperx[2].text 包含張昭偉包含黃捷委員、汪美惠委員、蘇角惠委員還有我李柏毅我們都進不來內政委員會審選罷法用九十幾秒通過這個選罷法加嚴的選罷法隔天要確認議事錄隔天也就是要審議行政院的預算主委你是不是呆坐了一整天沒有辦法上台從早上我大概
transcript.whisperx[3].start 86.44
transcript.whisperx[3].end 112.936
transcript.whisperx[3].text 將近九點八點多就來了一直到下午所以當天後來沒有辦法開會為什麼今天為什麼今天我們還有解凍案啊所以跟所有的其他的部會預算都一樣其實這一個行政院的目前這個民主黨你這個預算裡面齁根本內政委員會沒有審過直接在院會裡面做刪跟凍對不對
transcript.whisperx[4].start 114.747
transcript.whisperx[4].end 132.654
transcript.whisperx[4].text 所以秘書長我說你無辜冤枉就是你根本就沒有機會在這邊捍衛過在內政委員會捍衛過行政院的任何一毛預算但是就被刪了這麼多就被凍了這麼多秘書長給你一分鐘趕快來對刪跟凍做一個解釋
transcript.whisperx[5].start 136.143
transcript.whisperx[5].end 153.441
transcript.whisperx[5].text 非常可惜就是那時候在審預算的時候後來因為種種的原因沒有辦法針對預算來做討論然後後來是全案的保留然後送到院會去院會我想各位各黨團他們有他們的考量
transcript.whisperx[6].start 155.223
transcript.whisperx[6].end 183.06
transcript.whisperx[6].text 也沒有溝通的機會沒有溝通完全沒有溝通的機會三天院會只有處理三天的政黨協商而且完全沒有涉及到任何的內容就刪了那麼多的預算也動了那麼多的預算所以今天我們很希望可以在這邊來解凍相關的預算讓行政院可以繼續運作我唯一比較有印象的就是在委員個別提案裡面今天處理兩個啦第一個就是統三
transcript.whisperx[7].start 183.76
transcript.whisperx[7].end 197.911
transcript.whisperx[7].text 通山的這個939億裡面他有列的裡面他列的他只列到300多億嘛其他還有636億叫行政院自行處理嘛請行政院
transcript.whisperx[8].start 200.65
transcript.whisperx[8].end 215.699
transcript.whisperx[8].text 請行政院另予補足到939億嘛第二個其實還有什麼還有它裡面有列案要刪除包含行政院的各個服務中心包含南部服務中心南部服務中心的業務費被刪除99%
transcript.whisperx[9].start 219.741
transcript.whisperx[9].end 245.211
transcript.whisperx[9].text 山竹99%去到南福恰公的人都有感第一個 冷氣調高兩度先等第二個 電梯關掉一台先等第三個 沒有錢買衛生紙你來南福恰公的時候你千萬不要跑廁所你跑廁所你千萬記得一定要帶衛生紙這個是有感的部分傷害到的是誰 傷害到還是我們恰公的民眾
transcript.whisperx[10].start 246.391
transcript.whisperx[10].end 260.34
transcript.whisperx[10].text 那目前這一個636億裡面影響到各縣市政府的我來講一下行政院為什麼沒有辦法刪國防經費能不能刪撥補勞保基金能不能刪撥補住宅基金能不能刪租金補貼住宅基金能不能刪
transcript.whisperx[11].start 275.467
transcript.whisperx[11].end 294.543
transcript.whisperx[11].text 農發農損333億能不能刪?公共建設計畫2509億能不能刪?刪了我翻臉,刪了影響到高雄的地方建設,刪了影響到捷運直線,刪了影響到鐵路立體化,能不能刪?台灣最重要的科技發展計畫目前包含人工智慧1396億能不能刪?
transcript.whisperx[12].start 297.324
transcript.whisperx[12].end 311.861
transcript.whisperx[12].text 政府的基本維持運作7000多億能不能刪好全部都不能刪之後現在這636億也刪到高雄的一般補助款所以其實冤有頭債有主誰刪的誰負責藍白負責謝謝