iVOD / 165554

Field Value
IVOD_ID 165554
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165554
日期 2025-11-19
會議資料.會議代碼 聯席會議-11-4-20,15,19,23,26-1
會議資料.會議代碼:str 第11屆第4會期財政、內政、經濟、交通、社會福利及衛生環境委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 20
會議資料.委員會代碼[1] 15
會議資料.委員會代碼[2] 19
會議資料.委員會代碼[3] 23
會議資料.委員會代碼[4] 26
會議資料.委員會代碼:str[0] 財政委員會
會議資料.委員會代碼:str[1] 內政委員會
會議資料.委員會代碼:str[2] 經濟委員會
會議資料.委員會代碼:str[3] 交通委員會
會議資料.委員會代碼:str[4] 社會福利及衛生環境委員會
會議資料.標題 第11屆第4會期財政、內政、經濟、交通、社會福利及衛生環境委員會第1次聯席會議
影片種類 Clip
開始時間 2025-11-19T09:29:05+08:00
結束時間 2025-11-19T09:34:58+08:00
影片長度 00:05:53
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/9c5448532e3833d1ec5fdafd2f47b1e57119a7747a4c5c6cf2a9d4295e9d8f3aeb97dbb4eb1fdcfb5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 吳秉叡
委員發言時間 09:29:05 - 09:34:58
會議時間 2025-11-19T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政、內政、經濟、交通、社會福利及衛生環境委員會第1次聯席會議(事由:審查行政院函請審議「中央政府花蓮馬太鞍溪堰塞湖災後重建特別預算案」。 【預算提案截止時間:11月18日(二)下午3時】 【11月19日及20日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 11.47221875
transcript.pyannote[0].end 12.87284375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 14.94846875
transcript.pyannote[1].end 16.04534375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 18.98159375
transcript.pyannote[2].end 21.05721875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 21.31034375
transcript.pyannote[3].end 30.94596875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 26.23784375
transcript.pyannote[4].end 26.59221875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 31.57034375
transcript.pyannote[5].end 34.69221875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 32.78534375
transcript.pyannote[6].end 33.64596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 33.98346875
transcript.pyannote[7].end 35.53596875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 36.04221875
transcript.pyannote[8].end 43.07909375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 43.23096875
transcript.pyannote[9].end 44.61471875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 44.69909375
transcript.pyannote[10].end 45.28971875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 45.28971875
transcript.pyannote[11].end 45.54284375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 45.61034375
transcript.pyannote[12].end 51.49971875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 53.28846875
transcript.pyannote[13].end 54.82409375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 55.63409375
transcript.pyannote[14].end 56.59596875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 57.28784375
transcript.pyannote[15].end 59.02596875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 59.65034375
transcript.pyannote[16].end 60.96659375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 61.72596875
transcript.pyannote[17].end 67.31159375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 67.56471875
transcript.pyannote[18].end 70.85534375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 71.22659375
transcript.pyannote[19].end 74.02784375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 74.09534375
transcript.pyannote[20].end 77.01471875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 77.30159375
transcript.pyannote[21].end 82.22909375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 82.43159375
transcript.pyannote[22].end 85.55346875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 85.80659375
transcript.pyannote[23].end 86.90346875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 87.10596875
transcript.pyannote[24].end 92.48909375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 93.01221875
transcript.pyannote[25].end 96.53909375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 96.97784375
transcript.pyannote[26].end 105.60096875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 105.80346875
transcript.pyannote[27].end 107.06909375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 105.88784375
transcript.pyannote[28].end 106.09034375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 107.23784375
transcript.pyannote[29].end 137.14034375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 136.36409375
transcript.pyannote[30].end 144.71721875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 145.86471875
transcript.pyannote[31].end 146.11784375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 147.63659375
transcript.pyannote[32].end 151.48409375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 151.77096875
transcript.pyannote[33].end 152.20971875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 152.34471875
transcript.pyannote[34].end 153.13784375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 152.46284375
transcript.pyannote[35].end 152.58096875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 153.52596875
transcript.pyannote[36].end 154.33596875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 154.87596875
transcript.pyannote[37].end 155.77034375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 156.52971875
transcript.pyannote[38].end 158.89221875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 158.20034375
transcript.pyannote[39].end 164.59596875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 164.68034375
transcript.pyannote[40].end 165.67596875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 165.87846875
transcript.pyannote[41].end 167.00909375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 167.76846875
transcript.pyannote[42].end 172.88159375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 173.18534375
transcript.pyannote[43].end 179.91846875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 179.76659375
transcript.pyannote[44].end 182.14596875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 180.35721875
transcript.pyannote[45].end 181.13346875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 182.48346875
transcript.pyannote[46].end 186.28034375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 186.34784375
transcript.pyannote[47].end 189.16596875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 189.36846875
transcript.pyannote[48].end 194.29596875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 194.46471875
transcript.pyannote[49].end 196.48971875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 196.82721875
transcript.pyannote[50].end 198.14346875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 198.59909375
transcript.pyannote[51].end 199.24034375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 199.54409375
transcript.pyannote[52].end 200.86034375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 201.21471875
transcript.pyannote[53].end 201.83909375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 202.69971875
transcript.pyannote[54].end 203.37471875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 204.28596875
transcript.pyannote[55].end 205.28159375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 204.70784375
transcript.pyannote[56].end 211.27221875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 207.69471875
transcript.pyannote[57].end 208.20096875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 211.59284375
transcript.pyannote[58].end 213.12846875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 213.48284375
transcript.pyannote[59].end 220.60409375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 220.60409375
transcript.pyannote[60].end 221.76846875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 221.81909375
transcript.pyannote[61].end 223.81034375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 223.91159375
transcript.pyannote[62].end 224.43471875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 225.80159375
transcript.pyannote[63].end 226.81409375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 227.47221875
transcript.pyannote[64].end 250.30409375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 232.72034375
transcript.pyannote[65].end 233.14221875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 233.14221875
transcript.pyannote[66].end 233.22659375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 250.60784375
transcript.pyannote[67].end 257.18909375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 256.41284375
transcript.pyannote[68].end 259.09596875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 259.46721875
transcript.pyannote[69].end 263.02784375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 263.02784375
transcript.pyannote[70].end 266.50409375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 266.08221875
transcript.pyannote[71].end 280.89846875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 280.89846875
transcript.pyannote[72].end 280.94909375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 280.99971875
transcript.pyannote[73].end 284.61096875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 282.55221875
transcript.pyannote[74].end 282.85596875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 284.69534375
transcript.pyannote[75].end 289.60596875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 289.87596875
transcript.pyannote[76].end 296.96346875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 296.42346875
transcript.pyannote[77].end 297.55409375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 297.52034375
transcript.pyannote[78].end 297.53721875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 297.55409375
transcript.pyannote[79].end 301.33409375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 302.31284375
transcript.pyannote[80].end 303.32534375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 303.86534375
transcript.pyannote[81].end 305.73846875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 305.73846875
transcript.pyannote[82].end 312.70784375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 314.19284375
transcript.pyannote[83].end 316.58909375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 316.74096875
transcript.pyannote[84].end 319.54221875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 322.34346875
transcript.pyannote[85].end 322.86659375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 323.47409375
transcript.pyannote[86].end 327.03471875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 327.57471875
transcript.pyannote[87].end 329.83596875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 330.02159375
transcript.pyannote[88].end 333.05909375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 332.83971875
transcript.pyannote[89].end 340.85534375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 334.15596875
transcript.pyannote[90].end 334.34159375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 341.41221875
transcript.pyannote[91].end 343.43721875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 344.43284375
transcript.pyannote[92].end 346.00221875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 347.01471875
transcript.pyannote[93].end 347.68971875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 348.82034375
transcript.pyannote[94].end 351.30096875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 352.75221875
transcript.pyannote[95].end 354.35534375
transcript.whisperx[0].start 11.502
transcript.whisperx[0].end 13.003
transcript.whisperx[0].text 主席請陳主席長請主席長委員好主委長早這一次的這個特別條例啊馬太安溪的這個驗射壺這個特別條例有沒有包括鳳凰颱風之後又產生另外一個新的驗射壺有啦齁那有沒有包括
transcript.whisperx[1].start 36.378
transcript.whisperx[1].end 60.361
transcript.whisperx[1].text 遺留之後對明麗村所造成的那個光復鄉明麗村所造成這個損害有沒有包括這個部分有有齁好那我再繼續往下問有沒有包括鳳凰颱風蘇澳淹水還有宜蘭的災情沒有那一樣是明麗颱風花蓮的就有對宜蘭蘇澳的就沒有這樣不會很怪嗎
transcript.whisperx[2].start 61.932
transcript.whisperx[2].end 79.104
transcript.whisperx[2].text 跟委員說明那這一次是針對馬太安災後的這個復建主要是在馬太安溪左右兩岸及花蓮溪水系至於此次鳳凰颱風對於宜蘭特別是蘇澳地區的這個治水的工作那行政院已經折成水利署
transcript.whisperx[3].start 80.044
transcript.whisperx[3].end 92.3
transcript.whisperx[3].text 我們經濟部也要求水利署在未來的四年一千億的預算裡面來加強這個地方的黃紅措施的改善工作這裡面包括蘇澳分紅工程
transcript.whisperx[4].start 93.953
transcript.whisperx[4].end 112.513
transcript.whisperx[4].text 對花蓮的救災我當然全力支持但是宜蘭這邊的速度也不能比較慢你把它放在後面的一千億這樣子宜蘭人會不會覺得說它的速度沒有特別條例會比較慢會不會有這種感覺不會 第一個蘇澳分洪從112年奉行這位合定之後113 114年
transcript.whisperx[5].start 115.215
transcript.whisperx[5].end 143.589
transcript.whisperx[5].text 經濟部水利署都分別編列預算在今年九月通過預算的徵收而水利署也同時在這個預算的徵收的過程去做基本設計我們會同步來並行這個工作四澳分紅的工程水利署除了透過這一項措施之外對於發包策略的部分也會加強還敢辦那除此之外市區裡面那個賴市長你是一個很有能力而且你從水利署長出身嘛所以我覺得你的講法我可以接受那你請回座我繼續請教處長
transcript.whisperx[6].start 147.727
transcript.whisperx[6].end 156.957
transcript.whisperx[6].text 上一次那個台南那一個颱風是不是有特別條例是那個多少錢600600通過了嗎通過600億那邊然後這一次這個270加30有可能300億對這樣就900了900那900這是特別條例嗎
transcript.whisperx[7].start 167.853
transcript.whisperx[7].end 186.163
transcript.whisperx[7].text 那特別要條例的這些預算雖然不受預算法限制但是有沒有受舉債總額的限制有沒有受這個一年不能夠超過你的預算規模15%的舉債上限這個限制都沒有期間有受流量限制啦
transcript.whisperx[8].start 186.403
transcript.whisperx[8].end 209.483
transcript.whisperx[8].text 那這個上個禮拜本院又在藍白多數的表決之下印給你通過這個新的他們這個新的這個才化法的這個修正又要規定你計劃型補助跟這個跟那個跟一般性補助都不可以比以前少所以卓院長有講說這樣又要增加2600多億
transcript.whisperx[9].start 211.598
transcript.whisperx[9].end 214.98
transcript.whisperx[9].text 2646億2646億那在之前因為上一個版本他已經從你這邊財化法已經拿走4000多億4165億那這樣就兩個加起來是多少5455億總共是多少
transcript.whisperx[10].start 227.5
transcript.whisperx[10].end 232.185
transcript.whisperx[10].text 總共增加4165億這個部分一般性補助和計劃性補助要維持5455億這個部分我們必須要增加2646億這個部分我們是沒有辦法負擔
transcript.whisperx[11].start 250.944
transcript.whisperx[11].end 262.94
transcript.whisperx[11].text 這樣子加起來有沒有超過那個預算法規定不可以超過你的那個預算的15%的上限超過一千多億那另一個法律叫你要違法那這樣要怎麼處理啊
transcript.whisperx[12].start 266.104
transcript.whisperx[12].end 281.841
transcript.whisperx[12].text 但是有一個方法你可以作帳啊你就虛胖啊你就把你的總預算灌水啊把那個舉借幾千億全部都加進來那這樣灌水虛胖之後後面債務給後面的人背啊你這樣就不會違反預算法舉債失誤發上線這種事情我們不能做
transcript.whisperx[13].start 284.778
transcript.whisperx[13].end 310.971
transcript.whisperx[13].text 有啊 很多地方政府都在做這樣的事情啊不然左也違法 右也違法 那你要怎麼辦是 所以這個部分我們必須要整個要循救濟的程序來救濟啦怎麼樣救濟的程序是 這個部分我們大概應該是第一個是要視線嘛 複製啦複製我們也會複製複製不會過啦複製只要我們多麻煩的多表決一次而已哪一次複製複製的時候連討論都不跟你討論欸
transcript.whisperx[14].start 313.302
transcript.whisperx[14].end 319.255
transcript.whisperx[14].text 是 那我們也會要求四限啦四限到法官會議現在被停擺了 四什麼限
transcript.whisperx[15].start 322.429
transcript.whisperx[15].end 351.079
transcript.whisperx[15].text 所以你要有做一個心理準備今年的總預算不會省啊就算延到1月31號也不會省啊我們還是希望委員能夠支持啊因為預算裡面我當然支持啊問題是我是少數我在立法院我是少數黨啊我是跟你講說你要心理準備根本就不會省啊省了也沒用 省了也違法嘛你們也沒有辦法執行嘛是不是這樣心理要準備好是OK好 謝謝
transcript.whisperx[16].start 352.81
transcript.whisperx[16].end 353.091
transcript.whisperx[16].text 好 謝謝奧比努委員