iVOD / 158023

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6c9ad41bd34b9fe1565613c7829ffad7042f85579c7bbf09df9b3bb9c0932d1a3b970c124de97d675ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱鎮軍
委員發言時間 09:55:49 - 10:05:58
影片長度 609
會議時間 2024-12-09T09:00:00+08:00
會議名稱 立法院第11屆第2會期社會福利及衛生環境委員會第13次全體委員會議(事由:一、邀請勞動部部長列席報告業務概況,並備質詢。 二、審查中華民國114年度中央政府總預算案關於勞動部主管預算。(公務及基金預算) 三、審查勞動部函送財團法人職業災害預防及重建中心114年度預算書案。 【所列預算案,僅詢答,113年12月9日下午5時截止收案】 【業務報告及討論事項綜合詢答】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 8.38409375
transcript.pyannote[0].end 9.29534375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 9.59909375
transcript.pyannote[1].end 11.47221875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 12.16409375
transcript.pyannote[2].end 13.02471875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 18.15471875
transcript.pyannote[3].end 19.89284375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 20.44971875
transcript.pyannote[4].end 21.24284375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 21.37784375
transcript.pyannote[5].end 36.81846875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 37.29096875
transcript.pyannote[6].end 40.66596875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 41.29034375
transcript.pyannote[7].end 42.06659375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 42.06659375
transcript.pyannote[8].end 42.08346875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 42.48846875
transcript.pyannote[9].end 57.08534375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 57.33846875
transcript.pyannote[10].end 60.19034375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 60.51096875
transcript.pyannote[11].end 66.02909375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 66.34971875
transcript.pyannote[12].end 70.06221875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 70.41659375
transcript.pyannote[13].end 71.29409375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 71.83409375
transcript.pyannote[14].end 84.96284375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 84.96284375
transcript.pyannote[15].end 89.28284375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 86.93721875
transcript.pyannote[16].end 87.30846875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 89.95784375
transcript.pyannote[17].end 91.76346875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 92.30346875
transcript.pyannote[18].end 93.65346875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 93.65346875
transcript.pyannote[19].end 101.31471875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 93.67034375
transcript.pyannote[20].end 94.83471875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 101.48346875
transcript.pyannote[21].end 109.51596875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 110.02221875
transcript.pyannote[22].end 111.64221875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 110.22471875
transcript.pyannote[23].end 114.49409375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 114.02159375
transcript.pyannote[24].end 116.43471875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 117.02534375
transcript.pyannote[25].end 129.96846875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 129.96846875
transcript.pyannote[26].end 146.10096875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 146.38784375
transcript.pyannote[27].end 153.07034375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 153.20534375
transcript.pyannote[28].end 156.52971875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 157.10346875
transcript.pyannote[29].end 159.46596875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 160.83284375
transcript.pyannote[30].end 160.84971875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 160.84971875
transcript.pyannote[31].end 172.07159375
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 172.24034375
transcript.pyannote[32].end 173.30346875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 174.28221875
transcript.pyannote[33].end 195.37596875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 195.40971875
transcript.pyannote[34].end 201.34971875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 199.27409375
transcript.pyannote[35].end 216.11534375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 202.31159375
transcript.pyannote[36].end 202.69971875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 212.26784375
transcript.pyannote[37].end 212.28471875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 212.28471875
transcript.pyannote[38].end 212.38596875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 212.38596875
transcript.pyannote[39].end 212.40284375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 216.45284375
transcript.pyannote[40].end 217.02659375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 217.12784375
transcript.pyannote[41].end 226.59471875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 226.83096875
transcript.pyannote[42].end 230.35784375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 230.57721875
transcript.pyannote[43].end 240.61784375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 240.61784375
transcript.pyannote[44].end 241.07346875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 241.56284375
transcript.pyannote[45].end 242.86221875
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 243.06471875
transcript.pyannote[46].end 251.08034375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 252.09284375
transcript.pyannote[47].end 256.75034375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 253.03784375
transcript.pyannote[48].end 272.71409375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 272.95034375
transcript.pyannote[49].end 274.26659375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 275.24534375
transcript.pyannote[50].end 278.53596875
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 278.83971875
transcript.pyannote[51].end 281.26971875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 281.26971875
transcript.pyannote[52].end 284.00346875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 282.36659375
transcript.pyannote[53].end 303.83159375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 304.42221875
transcript.pyannote[54].end 304.96221875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 304.96221875
transcript.pyannote[55].end 306.88596875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 307.29096875
transcript.pyannote[56].end 308.06721875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 309.36659375
transcript.pyannote[57].end 317.21346875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 317.90534375
transcript.pyannote[58].end 328.85721875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 329.61659375
transcript.pyannote[59].end 339.99471875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 339.69096875
transcript.pyannote[60].end 349.42784375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 343.47096875
transcript.pyannote[61].end 343.96034375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 346.40721875
transcript.pyannote[62].end 356.68409375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 356.90346875
transcript.pyannote[63].end 359.19846875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 359.90721875
transcript.pyannote[64].end 360.21096875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 362.05034375
transcript.pyannote[65].end 362.48909375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 370.55534375
transcript.pyannote[66].end 374.80784375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 374.52096875
transcript.pyannote[67].end 376.51221875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 375.92159375
transcript.pyannote[68].end 379.17846875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 379.34721875
transcript.pyannote[69].end 383.66721875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 384.15659375
transcript.pyannote[70].end 384.27471875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 384.35909375
transcript.pyannote[71].end 385.55721875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 385.47284375
transcript.pyannote[72].end 388.72971875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 388.89846875
transcript.pyannote[73].end 389.65784375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 389.15159375
transcript.pyannote[74].end 392.83034375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 390.04596875
transcript.pyannote[75].end 390.97409375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 390.99096875
transcript.pyannote[76].end 391.02471875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 394.31534375
transcript.pyannote[77].end 395.81721875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 395.47971875
transcript.pyannote[78].end 398.97284375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 398.97284375
transcript.pyannote[79].end 404.00159375
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 399.54659375
transcript.pyannote[80].end 400.82909375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 407.03909375
transcript.pyannote[81].end 408.03471875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 408.03471875
transcript.pyannote[82].end 432.19971875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 409.87409375
transcript.pyannote[83].end 411.00471875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 412.25346875
transcript.pyannote[84].end 414.49784375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 429.92159375
transcript.pyannote[85].end 438.15659375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 438.34221875
transcript.pyannote[86].end 448.23096875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 448.70346875
transcript.pyannote[87].end 449.34471875
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 450.05346875
transcript.pyannote[88].end 455.03159375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 455.53784375
transcript.pyannote[89].end 462.45659375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 462.45659375
transcript.pyannote[90].end 462.59159375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 462.76034375
transcript.pyannote[91].end 462.82784375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 462.82784375
transcript.pyannote[92].end 463.97534375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 463.97534375
transcript.pyannote[93].end 464.95409375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 465.35909375
transcript.pyannote[94].end 477.18846875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 478.15034375
transcript.pyannote[95].end 478.72409375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 485.00159375
transcript.pyannote[96].end 498.56909375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 485.10284375
transcript.pyannote[97].end 485.55846875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 498.75471875
transcript.pyannote[98].end 501.48846875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 501.48846875
transcript.pyannote[99].end 501.52221875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 503.74971875
transcript.pyannote[100].end 514.53284375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 514.49909375
transcript.pyannote[101].end 522.39659375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 522.88596875
transcript.pyannote[102].end 524.20221875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 522.93659375
transcript.pyannote[103].end 526.14284375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 524.55659375
transcript.pyannote[104].end 528.62346875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 526.61534375
transcript.pyannote[105].end 527.42534375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 528.77534375
transcript.pyannote[106].end 529.41659375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 530.31096875
transcript.pyannote[107].end 532.20096875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 531.94784375
transcript.pyannote[108].end 533.31471875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 533.92221875
transcript.pyannote[109].end 533.93909375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 533.93909375
transcript.pyannote[110].end 534.31034375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 534.31034375
transcript.pyannote[111].end 537.17909375
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 537.41534375
transcript.pyannote[112].end 558.08721875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 558.08721875
transcript.pyannote[113].end 581.40846875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 581.84721875
transcript.pyannote[114].end 581.86409375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 581.86409375
transcript.pyannote[115].end 596.57909375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 583.68659375
transcript.pyannote[116].end 587.41596875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 587.63534375
transcript.pyannote[117].end 588.02346875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 596.57909375
transcript.pyannote[118].end 596.62971875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 597.37221875
transcript.pyannote[119].end 597.38909375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 597.38909375
transcript.pyannote[120].end 605.67471875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 606.73784375
transcript.pyannote[121].end 608.96534375
transcript.whisperx[0].start 8.637
transcript.whisperx[0].end 12.546
transcript.whisperx[0].text 主席好。一樣有請我們洪部長。請洪部長。
transcript.whisperx[1].start 18.768
transcript.whisperx[1].end 41.878
transcript.whisperx[1].text 謝謝邱委員部長好那個我看了一下我們那個勞動部在11月有宣布對親身公務員追封勞動獎章那會爭取因公傷亡的這個撫恤補償但是上個星期全序不確鎖他們還沒收到勞動部的這個文件這是什麼原因
transcript.whisperx[2].start 42.92
transcript.whisperx[2].end 71.1
transcript.whisperx[2].text 當然因為我們現在當然在重啟調查啦齁那我們現在會把重啟調查裡面一些更多的事實的釐清再重啟調查的結果發布以後那該怎麼樣來幫這公務員徵取的部分我們都會盡力根據我們那個公務人員退休這個之前撫恤法第52條齁那自殺身亡的比照病故或意外死亡認定所以你們準備要用什麼樣的理由
transcript.whisperx[3].start 72.461
transcript.whisperx[3].end 89.2
transcript.whisperx[3].text 就是我們會先等這週的調查報告的內容出來以後那後續該幫這一位無信公務員爭取的我們都會盡力的來爭取所以你重啟調查了嗎對不對對現在重啟那你現在找到適合的法條了沒有
transcript.whisperx[4].start 89.986
transcript.whisperx[4].end 109.354
transcript.whisperx[4].text 法條就是就是呃我們會先看就我們我想說我們會來把重啟調查的內容我們先向社會大眾來報告然後因為我不管要爭取什麼東西都還是要基於這一位無性公務員在生前他經歷的什麼他遇到了什麼所以
transcript.whisperx[5].start 110.094
transcript.whisperx[5].end 133.33
transcript.whisperx[5].text 這個調查報告的公布﹖所以你們是要把這個責任就給循序部去認定﹖不是 這不是循序部去認定循序部當然是這個輔敘的主管的機關但我們會等調查報告出來以後向社會報告以後我們會拿著這些內容來盡力的幫無性公務員爭取好了 因為病故或者是意外死亡
transcript.whisperx[6].start 134.691
transcript.whisperx[6].end 158.816
transcript.whisperx[6].text 或者是因公死亡復續金額差非常多。勞動部既然已經在第一時間說要替這位公務員來爭取我希望你們說到要做到好不好?當然。另外勞保年金你說不應該只有撥補嗎?你也說不會砍年金但是在你的業務報告裡面看不到你到底要做什麼?還有你的期程規劃是什麼?
transcript.whisperx[7].start 161.403
transcript.whisperx[7].end 172.965
transcript.whisperx[7].text 這個跟邱委員說明齁其實現在勞保年金的水位今年應該有機會可以破一兆嘛齁今年可以破一兆那撥補是維持水位的做法之一
transcript.whisperx[8].start 174.349
transcript.whisperx[8].end 193.199
transcript.whisperx[8].text 那也不會只有博古所以這幾這幾年的時間我們在多元的投資裡面其實收益的狀況其實也相當不錯那也包括關於納保或給付相關這些東西做法更精進也都有助整個水會所以我的意思是說我們要做的事情第一個確實現在政策上面並沒有砍給付的規劃這是事實
transcript.whisperx[9].start 195.64
transcript.whisperx[9].end 207.932
transcript.whisperx[9].text 那對於維持基金水位的做法上面我們其實會有各種不同的做法。 因為你報告有寫啦,有撥補投資嘛,強化納保還有給付審核。 對。 那在你上任之前這些都沒有做嗎?
transcript.whisperx[10].start 207.932
transcript.whisperx[10].end 213.838
transcript.whisperx[10].text 也不是沒有做啊,我現在能夠讓基金的水位到兆元之前也有做嘛對不對?
transcript.whisperx[11].start 213.838
transcript.whisperx[11].end 215.519
transcript.whisperx[11].text 也是有的。 可是做了之後為什麼還一直虧損?
transcript.whisperx[12].start 217.32
transcript.whisperx[12].end 238.208
transcript.whisperx[12].text 其實現在今年度我們蔡英文總統執政了8年她一直說要匱極意見那到現在也還是只有撥補那現在你上任你又說要匱極意見凝聚共識我們賴總統他選前也說他一定會解決退休金的問題所以這個部分你有什麼想法還是延續傳統的這樣複製貼上就好了
transcript.whisperx[13].start 241.651
transcript.whisperx[13].end 250.587
transcript.whisperx[13].text 跟文說明當然不是會是複製貼上我說撥補這部分我們會持續的辦理可是我們維持基金所謂的方法不會只有撥補
transcript.whisperx[14].start 252.468
transcript.whisperx[14].end 273.878
transcript.whisperx[14].text 包括 檢討基金投資的收益,這都我們持續在做,而且這幾年做得很好。 包括檢討基金投資的收益,這都我們持續在做,而且這幾年做得很好。 勞動部不是一個冰冷的行政單位,要貼近我們勞工的需求。當然。 那希望你們能夠提供有效的解決方案。 那你看到那個三千多名民眾上街頭,還有工人要絕食100個小時等你給答案,這個部分你有什麼感覺?
transcript.whisperx[15].start 275.667
transcript.whisperx[15].end 303.597
transcript.whisperx[15].text 第一個就是我們當然尊重公民社會裡面的各種聲音的表達我覺得這樣啦然後我們也很重視重點是我想讓我一點時間說我們當然非常重視現在大家提出來的訴求尤其是關於霸凌的問題尤其是大家現在也很多提出關於救安基金運用的問題這都是我上任這兩個禮拜以來非常非常大力也花很多時間我們在全力檢討跟推動的事情
transcript.whisperx[16].start 304.877
transcript.whisperx[16].end 327.962
transcript.whisperx[16].text 他們會走上街頭我這樣看他們就是不接受你們的說法不接受你們的說法那你們一再的回應還是跟之前一樣才會出來走上街頭我想大家都不願意看到這樣子也不願意去做這樣的事情還有包含絕食抗議那愛因斯坦也說過什麼叫做瘋子就是重複同樣的事情
transcript.whisperx[17].start 329.673
transcript.whisperx[17].end 335.017
transcript.whisperx[17].text 公務及基金預算案關於公務及基金預算案關於公務及基金預算案關於公務及基金預算案關於公務及基金預算案
transcript.whisperx[18].start 359.963
transcript.whisperx[18].end 369.729
transcript.whisperx[18].text 二、審查中華民國11屆第12會期社會福利及衛生環境委員會第13次全體委員會及重建中心114年度中央政府總預算案關於勞動部主管預算。 »:
transcript.whisperx[19].start 370.615
transcript.whisperx[19].end 376.617
transcript.whisperx[19].text 公務及基金預算案關於勞動部主管預算:一、邀請勞動部主管預算:僅公務及基金預算案關於勞動部主管預算.僅
transcript.whisperx[20].start 394.292
transcript.whisperx[20].end 395.293
transcript.whisperx[20].text 我會來跟業務單位來檢討相關這個所以你部長你覺得過去是對的嗎?
transcript.whisperx[21].start 408.314
transcript.whisperx[21].end 409.435
transcript.whisperx[21].text 兩岸的交流互動啊
transcript.whisperx[22].start 435.26
transcript.whisperx[22].end 453.265
transcript.whisperx[22].text 其實我覺得本來它就存在必要性不要因為政治立場而停擺不要為了反對而反對我們有一個正常的這個溝通交流的一個管道我覺得是非常好的我們就是希望各種我覺得我這邊也不針對只針對中國
transcript.whisperx[23].start 455.586
transcript.whisperx[23].end 477.038
transcript.whisperx[23].text 而是各種出國的計劃他能夠對於我們業務推動有什麼幫助我會非常非常看重這一點還有最後就是救安基金裡面你們很多東西寫得非常籠統就像固定資產無形資產這幾個項目你們分了4個地方編總共編了8億3千多萬這是要買什麼這是要做什麼
transcript.whisperx[24].start 485.149
transcript.whisperx[24].end 501.058
transcript.whisperx[24].text 就算基金裡面的媒體事務費就編了兩億一千多萬元等於一個月要花一千八百萬元在這裡面你們就複製貼上這一段相關媒體通路宣傳製作脫波及刊登經費這樣不清不楚的內容你覺得這樣可以過嗎?
transcript.whisperx[25].start 503.803
transcript.whisperx[25].end 528.979
transcript.whisperx[25].text 跟委員報告這個兩億一千七百萬是屬於我們對於各種促進國民就業跟這個外國人拼顧許可管理相關措施的一個相關的一個宣導的一個。 不過你們去買東西都不用問價格或是製作影片還是圖檔還是數量多少脫波哪些平台。 這個部分都會依照結構程序來處理。 反正編下去花完就對了是這樣嗎?
transcript.whisperx[26].start 530.336
transcript.whisperx[26].end 547.444
transcript.whisperx[26].text 那個跟跟文說明還是要給我們的綠媒賺一下呃卻並不是這樣吼呃確實其實在法案署這邊他們有很多政策需要政策跟法令需要讓外界接受到訊息的需求
transcript.whisperx[27].start 548.564
transcript.whisperx[27].end 570.006
transcript.whisperx[27].text 那但是針對這個相關的計畫編列裡面有沒有哪些它適不適當每個項目適不適當這部分當然我們也在我們會檢討好了你說因為你說過嘛就是說你要找外部人員來把關嘛是那你們2016年9月勞動部這個發展署就新聞發新聞稿說就案基金有外部監督機制
transcript.whisperx[28].start 571.147
transcript.whisperx[28].end 596.359
transcript.whisperx[28].text 就按基金符合用途沒有復編促進國民就業為主沒有疑慮這之前就在做了所以我不曉得你們會不會找到同樣的人?關於外部的成員是一件事情但還有一個部分是在機制面我自己認為也要從機制面去面對問題跟檢討問題所以除了人以外還有機制
transcript.whisperx[29].start 597.642
transcript.whisperx[29].end 603.975
transcript.whisperx[29].text 你上次說過一個月要提解決方案,那我希望不要留意形勢,謝謝部長。
IVOD_ID 158023
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158023
日期 2024-12-09
會議資料.會議代碼 委員會-11-2-26-13
會議資料.屆 11
會議資料.會期 2
會議資料.會次 13
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.標題 第11屆第2會期社會福利及衛生環境委員會第13次全體委員會議
影片種類 Clip
開始時間 2024-12-09T09:55:49+08:00
結束時間 2024-12-09T10:05:58+08:00
支援功能[0] ai-transcript