iVOD / 165349

Field Value
IVOD_ID 165349
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165349
日期 2025-11-13
會議資料.會議代碼 委員會-11-4-35-14
會議資料.會議代碼:str 第11屆第4會期外交及國防委員會第14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 14
會議資料.種類 委員會
會議資料.委員會代碼[0] 35
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.標題 第11屆第4會期外交及國防委員會第14次全體委員會議
影片種類 Clip
開始時間 2025-11-13T09:36:30+08:00
結束時間 2025-11-13T09:45:21+08:00
影片長度 00:08:51
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fffa2c65c610face512561b1045114bc5cb08f7d303ca8f4bff109ec81674948744b430f128716a75ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃仁
委員發言時間 09:36:30 - 09:45:21
會議時間 2025-11-13T09:00:00+08:00
會議名稱 立法院第11屆第4會期外交及國防委員會第14次全體委員會議(事由:邀請國防部部長顧立雄報告「國軍編現比提升之具體方案及因應作法」,並備質詢。(11月12日及13日二天一次會))
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 1.56659375
transcript.pyannote[0].end 3.20346875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 3.35534375
transcript.pyannote[1].end 4.08096875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 10.78034375
transcript.pyannote[2].end 12.38346875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 13.48034375
transcript.pyannote[3].end 20.70284375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 21.02346875
transcript.pyannote[4].end 41.54346875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 42.50534375
transcript.pyannote[5].end 61.03409375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 61.13534375
transcript.pyannote[6].end 62.68784375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 63.68346875
transcript.pyannote[7].end 66.23159375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 66.40034375
transcript.pyannote[8].end 66.41721875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 66.43409375
transcript.pyannote[9].end 66.95721875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 68.10471875
transcript.pyannote[10].end 70.06221875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 70.34909375
transcript.pyannote[11].end 70.92284375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 72.30659375
transcript.pyannote[12].end 73.77471875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 74.34846875
transcript.pyannote[13].end 84.28784375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 83.69721875
transcript.pyannote[14].end 84.94596875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 84.92909375
transcript.pyannote[15].end 91.78034375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 92.25284375
transcript.pyannote[16].end 97.73721875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 97.55159375
transcript.pyannote[17].end 98.46284375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 97.97346875
transcript.pyannote[18].end 102.29346875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 99.82971875
transcript.pyannote[19].end 100.23471875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 101.23034375
transcript.pyannote[20].end 101.31471875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 101.41596875
transcript.pyannote[21].end 101.51721875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 103.08659375
transcript.pyannote[22].end 136.31346875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 137.19096875
transcript.pyannote[23].end 142.86096875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 143.28284375
transcript.pyannote[24].end 154.15034375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 154.38659375
transcript.pyannote[25].end 155.01096875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 155.36534375
transcript.pyannote[26].end 159.75284375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 160.47846875
transcript.pyannote[27].end 163.71846875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 163.90409375
transcript.pyannote[28].end 174.14721875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 174.53534375
transcript.pyannote[29].end 177.03284375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 177.03284375
transcript.pyannote[30].end 177.87659375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 177.87659375
transcript.pyannote[31].end 177.89346875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 179.24346875
transcript.pyannote[32].end 184.42409375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 185.55471875
transcript.pyannote[33].end 186.70221875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 188.38971875
transcript.pyannote[34].end 193.97534375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 193.97534375
transcript.pyannote[35].end 203.34096875
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 202.14284375
transcript.pyannote[36].end 202.22721875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 202.78409375
transcript.pyannote[37].end 209.19659375
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 209.50034375
transcript.pyannote[38].end 221.14409375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 222.57846875
transcript.pyannote[39].end 222.59534375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 222.59534375
transcript.pyannote[40].end 230.03721875
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 230.03721875
transcript.pyannote[41].end 230.64471875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 231.11721875
transcript.pyannote[42].end 235.67346875
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 236.50034375
transcript.pyannote[43].end 236.51721875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 236.51721875
transcript.pyannote[44].end 236.60159375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 236.60159375
transcript.pyannote[45].end 236.61846875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 236.61846875
transcript.pyannote[46].end 237.52971875
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 237.52971875
transcript.pyannote[47].end 238.13721875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 238.69409375
transcript.pyannote[48].end 238.72784375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 238.72784375
transcript.pyannote[49].end 239.28471875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 238.77846875
transcript.pyannote[50].end 239.20034375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 240.36471875
transcript.pyannote[51].end 255.99096875
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 240.39846875
transcript.pyannote[52].end 242.69346875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 256.34534375
transcript.pyannote[53].end 257.84721875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 257.88096875
transcript.pyannote[54].end 262.52159375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 263.34846875
transcript.pyannote[55].end 272.03909375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 270.52034375
transcript.pyannote[56].end 270.55409375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 270.55409375
transcript.pyannote[57].end 272.81534375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 272.03909375
transcript.pyannote[58].end 273.91221875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 274.51971875
transcript.pyannote[59].end 315.12096875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 311.62784375
transcript.pyannote[60].end 313.26471875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 314.80034375
transcript.pyannote[61].end 319.25534375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 317.48346875
transcript.pyannote[62].end 319.27221875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 319.27221875
transcript.pyannote[63].end 344.97284375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 345.15846875
transcript.pyannote[64].end 377.67659375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 378.62159375
transcript.pyannote[65].end 391.83471875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 392.27346875
transcript.pyannote[66].end 447.64034375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 448.18034375
transcript.pyannote[67].end 448.65284375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 449.53034375
transcript.pyannote[68].end 452.71971875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 453.69846875
transcript.pyannote[69].end 477.57659375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 477.99846875
transcript.pyannote[70].end 478.16721875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 478.47096875
transcript.pyannote[71].end 483.95534375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 484.84971875
transcript.pyannote[72].end 491.93721875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 492.19034375
transcript.pyannote[73].end 493.96221875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 494.13096875
transcript.pyannote[74].end 497.10096875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 497.30346875
transcript.pyannote[75].end 503.19284375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 503.34471875
transcript.pyannote[76].end 505.52159375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 505.84221875
transcript.pyannote[77].end 511.02284375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 511.07346875
transcript.pyannote[78].end 518.68409375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 519.03846875
transcript.pyannote[79].end 521.95784375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 522.12659375
transcript.pyannote[80].end 527.30721875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 527.39159375
transcript.pyannote[81].end 527.91471875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 527.91471875
transcript.pyannote[82].end 530.88471875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 531.00284375
transcript.pyannote[83].end 532.33596875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 532.33596875
transcript.pyannote[84].end 532.35284375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 532.35284375
transcript.pyannote[85].end 532.65659375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 532.65659375
transcript.pyannote[86].end 532.77471875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 532.77471875
transcript.pyannote[87].end 532.97721875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 532.97721875
transcript.pyannote[88].end 533.11221875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 533.11221875
transcript.pyannote[89].end 533.16284375
transcript.whisperx[0].start 1.618
transcript.whisperx[0].end 11.916
transcript.whisperx[0].text 有請部長 謝謝主席來 部長請是 黃委員部長早
transcript.whisperx[1].start 13.53
transcript.whisperx[1].end 39.804
transcript.whisperx[1].text 我們針對這個國軍邊線比偏低以嚴重影響國軍的戰力那部長上次在本席在上週二總質詢的時候就針對國軍官兵缺額的問題提出的一個質詢當時因為時間有限所以無法能夠詳細的來詢問那當今天再一次的來詢問
transcript.whisperx[2].start 42.591
transcript.whisperx[2].end 65.882
transcript.whisperx[2].text 本席看了今天的報告對比你上週的回答發現你在總執行的時候回答刻意的有一些錯誤的一些引導當時本席問你在主戰部隊的邊線比你就說無法無法提供主戰部隊的邊線比當時本席問你
transcript.whisperx[3].start 72.355
transcript.whisperx[3].end 82.662
transcript.whisperx[3].text 在這個過程裡面只提供全經最新的資料是92.2%剛剛你也在跟羅委員也講了79.2%但是比去年3月的96.9%的提升為2.3%沒有去年今年 抱歉抱歉
transcript.whisperx[4].start 103.155
transcript.whisperx[4].end 130.562
transcript.whisperx[4].text 提升到2.3%但是這表示提升是政策成效那結果今天的報告顯示這2.3%是義務役的數字根本不是政策成效的與政策成效無關所以你們看一下這個數字是不是有些錯誤的引導那再者就是部長
transcript.whisperx[5].start 132.242
transcript.whisperx[5].end 156.997
transcript.whisperx[5].text 不要用這個數字避重就輕這個很多事情是不可取這顯示對於解決國軍面臨的嚴重的問題不要一直想說要怎麼解決但是問題是怎麼樣來解決不要矇混過關部長上次回答你說79.9%
transcript.whisperx[6].start 160.526
transcript.whisperx[6].end 182.66
transcript.whisperx[6].text 可是79.2可是今年的3月76.9%的提升2.3跟數據完全是相反的部長你再一次的回答這一次是怎麼一回事就沒有顛倒就3月是76.6
transcript.whisperx[7].start 188.387
transcript.whisperx[7].end 191.45
transcript.whisperx[7].text 76.9那現在是79.2這提升的2.3%根本就是151的數字嘛151的數字加起來就是你們所謂的跟委員報告151從113年就開始就有151了是啊
transcript.whisperx[8].start 209.651
transcript.whisperx[8].end 221.121
transcript.whisperx[8].text 所以151的加入他在113年開始就已經是列為邊線比的一部分了所以3月的統計的邊線比就有含151提升到2.3但是你們全新最新的資料是79.2%啊對 所以3月份統計的76.9也有含151的
transcript.whisperx[9].start 236.516
transcript.whisperx[9].end 261.673
transcript.whisperx[9].text 有含EWE嗎 有啊有嗎 含4600可是數據 因為EWE是從資料裡面沒有含EWE的啊你這個是分開來算的你本來這個2.3%的EWE的數字跟你全經的數字裡面不是在這裡面啊沒有 整體的邊線比就有含從3月論的時候
transcript.whisperx[10].start 263.514
transcript.whisperx[10].end 291.089
transcript.whisperx[10].text 到現在來論的整體的編寫名在3月都有含義務役的人數到現在也有含義務役的人數你回答一下好不好委員好 跟委員報告就是說我們統計今年是76.9是含義務役的4956元那今年到現在義務役是4600元那我們今年整體志願役增加人數到10月31號是
transcript.whisperx[11].start 293.97
transcript.whisperx[11].end 319.057
transcript.whisperx[11].text 2325元這是實際增加志願役人數就是我們之前採取人性化的管理流營等等所有的措施之後今年從1月1號到現在志願役人力成長了2325到年底還有1000餘元可以進來我們省省樂觀的評估那你認為是有提升的嗎有提升確實有提升確實那你再詳細的數字再給我好不好是我們會後再跟委員報告
transcript.whisperx[12].start 319.437
transcript.whisperx[12].end 342.424
transcript.whisperx[12].text 那另外就是本信引用號角響起這個驚叫片的經典台語你們是欺騙敵人還是欺騙長官還是欺騙自己那這邊引用美國入侵條例220-1單位狀態報告和部隊登記的一個指標美軍提供的人員現有利參考值
transcript.whisperx[13].start 345.365
transcript.whisperx[13].end 369.365
transcript.whisperx[13].text 在西腕90%到100%但是現在我們是在西山60%到79%僅能執行部分的任務那在這個人員的比例上作戰最低標準中美軍更直接指出在作戰計畫中如果部隊人員限力限有率低於85%
transcript.whisperx[14].start 371.687
transcript.whisperx[14].end 388.397
transcript.whisperx[14].text 那需要延後部署或由其他單位支援但如果低於80%即時裝備期前也不視為即備作戰部署的資格那所以若依照美軍的標準國軍主戰部隊的邊線比
transcript.whisperx[15].start 392.933
transcript.whisperx[15].end 411.369
transcript.whisperx[15].text 屬於C3等級只能執行部分的任務如果是戰士根本連部署上戰場的資格都沒有啊這個顯示缺兵的問題不只是招募量不足而是已經觸及到作戰能力的層級的問題所以部長
transcript.whisperx[16].start 413.251
transcript.whisperx[16].end 429.751
transcript.whisperx[16].text 今天的報告內容顯示全軍編制增加所以編線比呈現下降那國軍實際人員或成長的狀態但是一對照美軍作戰最低的
transcript.whisperx[17].start 430.992
transcript.whisperx[17].end 445.161
transcript.whisperx[17].text 標準是以人員比例來看就知道這又是一個模糊焦點的論述請國軍回答我這個問題來把這一些細表給本席請國軍來訂出一個本席 請問部長國軍的缺額的問題
transcript.whisperx[18].start 453.809
transcript.whisperx[18].end 476.986
transcript.whisperx[18].text 是不是現在馬上採取正確的一個政策的手段那短時間內當然不可能解決但政府告訴我們無時無刻受到武力的威脅所以現在在緊急狀況那是不是 那你有沒有具體的解決的方案部長你來回答一下 剩下15秒
transcript.whisperx[19].start 478.562
transcript.whisperx[19].end 505.385
transcript.whisperx[19].text 剛剛我已經有回答羅委員同樣的問題那我是不是請這個座議事來再補充一下委員好我是座議事市長剛剛委員指導點出來是美軍的戰備等級標準確實非常正確它裡面包含人裝訓有四個評鑑的這個等級那剛剛同我們部長已經有做過的回應就是說我們這個等級是在特定任務特定時間也就是說當作美軍在做作戰部署任務派遣前的鑑定的一個標準
transcript.whisperx[20].start 505.905
transcript.whisperx[20].end 530.233
transcript.whisperx[20].text 那我們如果比照這個樣 我們在戰時同時也有考量就是剛剛部長報的 我們會採取在有敵情徵後明確之後會進行動員 鞭持 並進行臨戰訓練因此部隊的邊線筆會達到滿邊是可以有效去應處我們的防衛作戰任務的邊線筆缺兵的問題趕快解決這是一個解決之道 好不好我會努力來提高我們的邊線筆謝謝 謝謝黃榮委員 各位請回