iVOD / 165828

Field Value
IVOD_ID 165828
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165828
日期 2025-11-26
影片種類 Clip
開始時間 2025-11-26T09:27:51+08:00
結束時間 2025-11-26T09:34:04+08:00
影片長度 00:06:13
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f5b16bee5fdcc5c112f0b3b07679815face2a84e35b1380202ef04a352e939f41cf611dc18aaa0c55ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 09:27:51 - 09:34:04
會議時間 2025-11-26T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政、內政、外交及國防、經濟、教育及文化、交通、司法及法制、社會福利及衛生環境會第1次聯席會議(事由:審查或處理「中央政府前瞻基礎建設計畫第5期特別預算(114年度)」及「114年度中央政府總預算追加預算」決議: 一、有關中央研究院預算凍結書面報告案1案。 二、有關國立故宮博物院預算凍結書面報告案4案。 三、有關國家發展委員會預算凍結書面報告案1案。 四、有關行政院公共工程委員會預算凍結書面報告案1案。 五、有關內政部主管預算凍結書面報告案4案。 六、有關財政部主管預算凍結書面報告案1案。 七、有關教育部主管預算凍結書面報告案3案。 八、有關經濟部主管預算凍結書面報告案3案。 九、有關交通部主管預算凍結書面報告案10案。 十、有關衛生福利部主管預算凍結書面報告案4案。 十一、有關文化部主管預算凍結書面報告案1案。 十二、有關數位發展部主管預算凍結書面報告案3案。 十三、有關國家通訊傳播委員會預算凍結書面報告案1案。 十四、有關考試院主管預算凍結書面報告案1案。 十五、有關外交部主管預算凍結書面報告案1案。 十六、有關大陸委員會預算凍結書面報告案1案。 【11月26日及27日上午二天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.04784375
transcript.pyannote[0].end 1.61721875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 2.17409375
transcript.pyannote[1].end 4.50284375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 4.95846875
transcript.pyannote[2].end 5.70096875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 9.46409375
transcript.pyannote[3].end 9.49784375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 9.49784375
transcript.pyannote[4].end 10.07159375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 10.37534375
transcript.pyannote[5].end 11.35409375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 12.01221875
transcript.pyannote[6].end 16.48409375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 17.04096875
transcript.pyannote[7].end 18.61034375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 18.94784375
transcript.pyannote[8].end 22.25534375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 23.31846875
transcript.pyannote[9].end 33.56159375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 34.27034375
transcript.pyannote[10].end 35.97471875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 35.58659375
transcript.pyannote[11].end 49.67721875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 50.21721875
transcript.pyannote[12].end 55.22909375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 55.81971875
transcript.pyannote[13].end 61.28721875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 61.65846875
transcript.pyannote[14].end 63.71721875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 63.85221875
transcript.pyannote[15].end 68.96534375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 69.33659375
transcript.pyannote[16].end 70.12971875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 71.02409375
transcript.pyannote[17].end 75.09096875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 75.31034375
transcript.pyannote[18].end 76.45784375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 77.36909375
transcript.pyannote[19].end 85.48596875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 85.73909375
transcript.pyannote[20].end 89.16471875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 89.16471875
transcript.pyannote[21].end 89.18159375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 89.75534375
transcript.pyannote[22].end 91.03784375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 91.20659375
transcript.pyannote[23].end 99.69471875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 95.50971875
transcript.pyannote[24].end 95.96534375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 99.98159375
transcript.pyannote[25].end 108.94221875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 103.87971875
transcript.pyannote[26].end 104.45346875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 105.43221875
transcript.pyannote[27].end 106.05659375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 106.05659375
transcript.pyannote[28].end 106.22534375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 106.22534375
transcript.pyannote[29].end 106.41096875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 106.41096875
transcript.pyannote[30].end 106.96784375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 106.96784375
transcript.pyannote[31].end 107.17034375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 109.34721875
transcript.pyannote[32].end 113.14409375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 109.38096875
transcript.pyannote[33].end 113.07659375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 113.54909375
transcript.pyannote[34].end 126.37409375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 119.57346875
transcript.pyannote[35].end 121.19346875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 124.06221875
transcript.pyannote[36].end 124.43346875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 126.37409375
transcript.pyannote[37].end 137.03909375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 137.32596875
transcript.pyannote[38].end 138.06846875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 138.76034375
transcript.pyannote[39].end 140.75159375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 141.32534375
transcript.pyannote[40].end 150.57284375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 150.92721875
transcript.pyannote[41].end 152.63159375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 153.52596875
transcript.pyannote[42].end 154.70721875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 155.11221875
transcript.pyannote[43].end 157.15409375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 157.47471875
transcript.pyannote[44].end 157.86284375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 158.95971875
transcript.pyannote[45].end 159.41534375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 159.92159375
transcript.pyannote[46].end 160.15784375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 160.42784375
transcript.pyannote[47].end 161.03534375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 161.18721875
transcript.pyannote[48].end 164.52846875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 164.73096875
transcript.pyannote[49].end 179.15909375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 165.82784375
transcript.pyannote[50].end 167.44784375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 169.45596875
transcript.pyannote[51].end 170.36721875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 179.31096875
transcript.pyannote[52].end 182.14596875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 182.17971875
transcript.pyannote[53].end 183.59721875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 183.96846875
transcript.pyannote[54].end 185.48721875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 185.80784375
transcript.pyannote[55].end 188.13659375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 188.60909375
transcript.pyannote[56].end 188.99721875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 188.99721875
transcript.pyannote[57].end 191.35971875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 191.35971875
transcript.pyannote[58].end 193.03034375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 193.30034375
transcript.pyannote[59].end 202.26096875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 201.83909375
transcript.pyannote[60].end 206.20971875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 202.85159375
transcript.pyannote[61].end 203.20596875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 207.23909375
transcript.pyannote[62].end 208.45409375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 218.46096875
transcript.pyannote[63].end 219.01784375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 219.45659375
transcript.pyannote[64].end 220.33409375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 221.04284375
transcript.pyannote[65].end 223.25346875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 223.40534375
transcript.pyannote[66].end 225.70034375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 226.57784375
transcript.pyannote[67].end 227.08409375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 227.60721875
transcript.pyannote[68].end 231.11721875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 231.70784375
transcript.pyannote[69].end 235.31909375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 236.75346875
transcript.pyannote[70].end 243.03096875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 243.99284375
transcript.pyannote[71].end 245.52846875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 246.05159375
transcript.pyannote[72].end 249.25784375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 250.30409375
transcript.pyannote[73].end 265.23846875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 266.26784375
transcript.pyannote[74].end 267.82034375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 268.64721875
transcript.pyannote[75].end 274.82346875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 275.32971875
transcript.pyannote[76].end 277.03409375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 277.33784375
transcript.pyannote[77].end 279.81846875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 280.20659375
transcript.pyannote[78].end 288.52596875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 287.47971875
transcript.pyannote[79].end 288.37409375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 288.91409375
transcript.pyannote[80].end 292.82909375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 292.98096875
transcript.pyannote[81].end 296.59221875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 296.77784375
transcript.pyannote[82].end 305.72159375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 306.36284375
transcript.pyannote[83].end 315.28971875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 315.59346875
transcript.pyannote[84].end 317.82096875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 318.78284375
transcript.pyannote[85].end 320.30159375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 321.38159375
transcript.pyannote[86].end 324.14909375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 322.51221875
transcript.pyannote[87].end 322.78221875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 324.85784375
transcript.pyannote[88].end 326.39346875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 325.70159375
transcript.pyannote[89].end 325.83659375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 326.41034375
transcript.pyannote[90].end 338.50971875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 332.94096875
transcript.pyannote[91].end 332.95784375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 332.95784375
transcript.pyannote[92].end 333.39659375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 335.35409375
transcript.pyannote[93].end 335.86034375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 338.84721875
transcript.pyannote[94].end 344.87159375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 345.36096875
transcript.pyannote[95].end 348.09471875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 346.55909375
transcript.pyannote[96].end 348.49971875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 348.49971875
transcript.pyannote[97].end 348.80346875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 348.80346875
transcript.pyannote[98].end 348.83721875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 348.83721875
transcript.pyannote[99].end 348.85409375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 348.85409375
transcript.pyannote[100].end 351.18284375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 348.88784375
transcript.pyannote[101].end 349.20846875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 349.54596875
transcript.pyannote[102].end 351.57096875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 351.73971875
transcript.pyannote[103].end 353.51159375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 353.89971875
transcript.pyannote[104].end 355.31721875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 355.60409375
transcript.pyannote[105].end 363.13034375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 363.65346875
transcript.pyannote[106].end 365.32409375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 365.50971875
transcript.pyannote[107].end 367.72034375
transcript.whisperx[0].start 0.029
transcript.whisperx[0].end 4.333
transcript.whisperx[0].text 我們看到今天台積電終於去告了羅為仁告他違反禁業禁止違反營業秘密法
transcript.whisperx[1].start 23.376
transcript.whisperx[1].end 33.226
transcript.whisperx[1].text 我不知道因為他所謂的營業秘密當然他指的是兩奈米底下兩奈米以內的技術算不算是高端的技術
transcript.whisperx[2].start 34.755
transcript.whisperx[2].end 55.135
transcript.whisperx[2].text 應該是非常高端的技術非常高端的技術啦那有沒有這麼高端的技術我們在過去經濟部常常喜歡講跟國安扣在一起他的一個機密被外洩的話是不是涉及到國安的現在高檢署正在調查當中經濟部有沒有角色扮演
transcript.whisperx[3].start 56.145
transcript.whisperx[3].end 69.981
transcript.whisperx[3].text 我們會提供配合那個高檢署的調查來提供相關的資料高檢署已經開始跟你要資料了嗎目前還沒有偵辦的過程可能我回去我再了解一下目前都沒有
transcript.whisperx[4].start 71.072
transcript.whisperx[4].end 87.089
transcript.whisperx[4].text 因為我們看他現在告的是在這是國際的官司他跑到英特爾那你在告台灣的法院你怎麼辦呢要打跨國官司這時候政府其實有角色扮演的政府可以幫忙經濟部應該可以幫忙你覺得經濟部可以幫什麼忙
transcript.whisperx[5].start 90.27
transcript.whisperx[5].end 105.782
transcript.whisperx[5].text 當然我們現在是高檢署是要用國安法在調查所以經濟部這邊就會協助高檢署來認定說他這項的技術是不是屬於國家核心關鍵的技術是不是那很顯然從媒體的報導來看
transcript.whisperx[6].start 112.129
transcript.whisperx[6].end 137.797
transcript.whisperx[6].text 應該是核心關鍵技術他是不是跟國安有關的關鍵技術從媒體的報導來看確實兩奈米的技術確實是國家核心關鍵技術對嘛 兩奈米是非常進步的在國際上非常有競爭力而且非常重要他等於現在而且不用這個英特爾是後面
transcript.whisperx[7].start 138.817
transcript.whisperx[7].end 152.365
transcript.whisperx[7].text 川普在支持的啊看起來的話是有計畫的等於是偷了台灣的技術啊這裡面來講他會不會是美國政府的埋了一顆棋子這裡面有沒有想過這個問題大家好我們這個不敢去預測這個部分
transcript.whisperx[8].start 159.053
transcript.whisperx[8].end 187.331
transcript.whisperx[8].text 好 這個沒有所以你看起來經濟部沒有講說半年有啦其實我們大概就是配合高檢署來提供資料給高檢署提供什麼資料當然就是我剛剛提到就是說他如果他真的有具體調查出來他拿走了哪些資料那這些資料是不是屬於就是核心關鍵技術我們所定義的那些那個內容那個核心的這個項目這個部分就是要由經濟部來認定
transcript.whisperx[9].start 188.752
transcript.whisperx[9].end 205.884
transcript.whisperx[9].text 你們怎麼樣認定是不是核心的關鍵技術 怎麼樣認定當然我們會有 核心關鍵技術我們有公告那公告我們也會有一些項目嘛二納米在裡面就對了對 二納米是在裡面好 你請回 我們請陸委會的梁副主委好不好梁 梁副主委
transcript.whisperx[10].start 219.763
transcript.whisperx[10].end 235.095
transcript.whisperx[10].text 胡說也好這兩天炒飯店的有關於陸配的參政權到底要依國際法還是依兩岸人民關係條例這個你從陸委會的立場能不能來跟我們解釋一下我們兩岸人民關係條例有規定陸配取得定居資格之後十年
transcript.whisperx[11].start 244.022
transcript.whisperx[11].end 267.425
transcript.whisperx[11].text 可以登記參選所以那他登記參選之後譬如說選舉過程的選舉過程要以選罷法來規定當然當然那當選之後要不要這個放棄國籍這些事情是國籍法20條的規定所以我們兩岸條例裡面只有規定登記參選的權利後面沒有規定
transcript.whisperx[12].start 268.963
transcript.whisperx[12].end 287.601
transcript.whisperx[12].text 這個你要小心喔這個內政部長劉世芳要踩國基法其實是踩到你們的地盤了因為有關於陸配當然是你們管的啊兩岸這個兩岸內關係條例裡面你剛剛已經講清楚了啊他取得身份十年後他可以參政啊登記參選
transcript.whisperx[13].start 289.002
transcript.whisperx[13].end 317.64
transcript.whisperx[13].text 既然登記參選可以登記參選的當選又有什麼問題呢這個這個然後你現在要國際法那國際法的話以兩岸人民關係條例大陸地區就不是就我們不承認啊不承認他的主權啊就問題在這裡啊根據憲法他沒有沒有可以放啊他他他沒有國籍可以放啊你知道吧就這麼清楚啊所以這裡面來講很嚴重的問題啊內政部踩到你的線啊
transcript.whisperx[14].start 319.698
transcript.whisperx[14].end 343.398
transcript.whisperx[14].text 陸委會要講話報告委員因為我們的法律也規定其他國家的規劃人也都是10年以後會有登記參選權這個其實跟陸配是一樣的但是大家參選選上了以後選上了以後就可能會有國際法20條的問題就是說對於所有的規劃者
transcript.whisperx[15].start 345.387
transcript.whisperx[15].end 352.474
transcript.whisperx[15].text 他有雙重國籍的話你要小心喔這個如果你是法輪內政部長講好講好 把這句講完就好了那就是道地的道地的搞台獨囉台獨就明文化了就台面化了這對台灣其實是違心的啦好 謝謝賴委員接下來我們請郭國文委員