iVOD / 161328

Field Value
IVOD_ID 161328
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161328
日期 2025-05-14
會議資料.會議代碼 聯席會議-11-3-19,20-1
會議資料.會議代碼:str 第11屆第3會期經濟、財政兩委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 3
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] 19
會議資料.委員會代碼[1] 20
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.委員會代碼:str[1] 財政委員會
會議資料.標題 第11屆第3會期經濟、財政兩委員會第1次聯席會議
影片種類 Clip
開始時間 2025-05-14T10:28:40+08:00
結束時間 2025-05-14T10:38:11+08:00
影片長度 00:09:31
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4f2e91488ef6971b3b20a951ee2e368da35373469a84e2c35433fb1cebf983d856c4274c4566c6a95ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林德福
委員發言時間 10:28:40 - 10:38:11
會議時間 2025-05-14T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟、財政兩委員會第1次聯席會議(事由:審查: 一、行政院函請審議「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」案。 二、本院國民黨黨團擬具「因應國際情勢強化經濟社會及民眾消費韌性特別條例草案」案。 三、本院台灣民眾黨黨團擬具「因應國際情勢衝擊強化經濟社會韌性特別條例草案」案。 四、本院委員蔡易餘等18人擬具「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」案。 五、本院委員王美惠等17人擬具「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」案。 (第一案如未獲議事處來函則不予審查,第二至第五案業經各黨團簽署不復議同意書。)(詢答) 【5月14日及5月15日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 5.76846875
transcript.pyannote[0].end 9.10971875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 9.61596875
transcript.pyannote[1].end 12.34971875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 12.48471875
transcript.pyannote[2].end 13.17659375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 18.01971875
transcript.pyannote[3].end 33.07221875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 34.79346875
transcript.pyannote[4].end 35.23221875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 34.86096875
transcript.pyannote[5].end 35.85659375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 35.85659375
transcript.pyannote[6].end 40.37909375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 40.73346875
transcript.pyannote[7].end 47.90534375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 48.44534375
transcript.pyannote[8].end 50.70659375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 51.01034375
transcript.pyannote[9].end 58.84034375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 59.31284375
transcript.pyannote[10].end 68.44221875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 68.93159375
transcript.pyannote[11].end 70.18034375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 70.50096875
transcript.pyannote[12].end 71.42909375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 71.56409375
transcript.pyannote[13].end 73.25159375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 73.57221875
transcript.pyannote[14].end 76.32284375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 76.66034375
transcript.pyannote[15].end 77.14971875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 77.31846875
transcript.pyannote[16].end 83.86596875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 84.33846875
transcript.pyannote[17].end 100.43721875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 100.70721875
transcript.pyannote[18].end 101.39909375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 101.92221875
transcript.pyannote[19].end 104.95971875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 105.24659375
transcript.pyannote[20].end 106.22534375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 106.34346875
transcript.pyannote[21].end 107.00159375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 109.09409375
transcript.pyannote[22].end 110.25846875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 110.57909375
transcript.pyannote[23].end 118.59471875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 119.55659375
transcript.pyannote[24].end 128.36534375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 127.84221875
transcript.pyannote[25].end 136.07721875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 136.19534375
transcript.pyannote[26].end 145.45971875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 145.81409375
transcript.pyannote[27].end 146.72534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 147.18096875
transcript.pyannote[28].end 149.07096875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 149.40846875
transcript.pyannote[29].end 175.93596875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 176.03721875
transcript.pyannote[30].end 183.96846875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 184.44096875
transcript.pyannote[31].end 201.90659375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 202.26096875
transcript.pyannote[32].end 210.74909375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 211.28909375
transcript.pyannote[33].end 213.06096875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 213.43221875
transcript.pyannote[34].end 215.50784375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 215.74409375
transcript.pyannote[35].end 216.38534375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 216.95909375
transcript.pyannote[36].end 217.29659375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 217.87034375
transcript.pyannote[37].end 218.24159375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 218.73096875
transcript.pyannote[38].end 219.74346875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 219.89534375
transcript.pyannote[39].end 221.24534375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 221.32971875
transcript.pyannote[40].end 221.34659375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 221.36346875
transcript.pyannote[41].end 222.17346875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 223.72596875
transcript.pyannote[42].end 224.40096875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 225.41346875
transcript.pyannote[43].end 226.15596875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 226.71284375
transcript.pyannote[44].end 230.57721875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 230.94846875
transcript.pyannote[45].end 237.24284375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 237.69846875
transcript.pyannote[46].end 241.10721875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 241.54596875
transcript.pyannote[47].end 242.84534375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 243.18284375
transcript.pyannote[48].end 243.84096875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 244.14471875
transcript.pyannote[49].end 245.74784375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 246.33846875
transcript.pyannote[50].end 251.01284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 251.31659375
transcript.pyannote[51].end 259.51784375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 260.47971875
transcript.pyannote[52].end 261.62721875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 261.81284375
transcript.pyannote[53].end 262.57221875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 262.92659375
transcript.pyannote[54].end 264.49596875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 264.90096875
transcript.pyannote[55].end 272.76471875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 271.38096875
transcript.pyannote[56].end 282.58596875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 276.51096875
transcript.pyannote[57].end 278.46846875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 278.65409375
transcript.pyannote[58].end 279.31221875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 282.85596875
transcript.pyannote[59].end 285.25221875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 285.35346875
transcript.pyannote[60].end 287.02409375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 287.27721875
transcript.pyannote[61].end 288.72846875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 289.08284375
transcript.pyannote[62].end 291.74909375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 291.81659375
transcript.pyannote[63].end 297.38534375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 295.54596875
transcript.pyannote[64].end 317.29784375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 317.92221875
transcript.pyannote[65].end 319.79534375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 320.36909375
transcript.pyannote[66].end 337.17659375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 336.09659375
transcript.pyannote[67].end 344.38221875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 341.83409375
transcript.pyannote[68].end 344.61846875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 344.50034375
transcript.pyannote[69].end 344.51721875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 344.61846875
transcript.pyannote[70].end 344.88846875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 344.88846875
transcript.pyannote[71].end 345.14159375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 345.61409375
transcript.pyannote[72].end 363.09659375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 363.36659375
transcript.pyannote[73].end 374.45346875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 374.92596875
transcript.pyannote[74].end 399.91784375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 400.35659375
transcript.pyannote[75].end 401.94284375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 402.65159375
transcript.pyannote[76].end 403.42784375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 403.63034375
transcript.pyannote[77].end 404.15346875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 404.05221875
transcript.pyannote[78].end 404.10284375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 404.15346875
transcript.pyannote[79].end 404.96346875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 404.96346875
transcript.pyannote[80].end 407.71409375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 407.91659375
transcript.pyannote[81].end 414.88596875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 414.91971875
transcript.pyannote[82].end 414.97034375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 415.03784375
transcript.pyannote[83].end 425.51721875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 418.51409375
transcript.pyannote[84].end 419.69534375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 425.83784375
transcript.pyannote[85].end 427.84596875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 427.94721875
transcript.pyannote[86].end 428.65596875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 428.97659375
transcript.pyannote[87].end 431.18721875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 431.23784375
transcript.pyannote[88].end 432.90846875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 433.04346875
transcript.pyannote[89].end 434.59596875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 434.66346875
transcript.pyannote[90].end 436.73909375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 436.73909375
transcript.pyannote[91].end 488.07284375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 438.13971875
transcript.pyannote[92].end 438.79784375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 441.90284375
transcript.pyannote[93].end 443.35409375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 444.02909375
transcript.pyannote[94].end 446.62784375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 448.93971875
transcript.pyannote[95].end 449.07471875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 488.32596875
transcript.pyannote[96].end 488.83221875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 489.64221875
transcript.pyannote[97].end 503.85096875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 504.54284375
transcript.pyannote[98].end 511.86659375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 509.47034375
transcript.pyannote[99].end 516.49034375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 516.54096875
transcript.pyannote[100].end 516.57471875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 516.57471875
transcript.pyannote[101].end 521.14784375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 521.41784375
transcript.pyannote[102].end 523.67909375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 523.86471875
transcript.pyannote[103].end 524.75909375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 524.97846875
transcript.pyannote[104].end 528.45471875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 526.88534375
transcript.pyannote[105].end 528.62346875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 528.57284375
transcript.pyannote[106].end 529.02846875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 529.02846875
transcript.pyannote[107].end 549.36284375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 550.35846875
transcript.pyannote[108].end 553.07534375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 553.07534375
transcript.pyannote[109].end 553.09221875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 554.25659375
transcript.pyannote[110].end 554.27346875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 554.27346875
transcript.pyannote[111].end 558.27284375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 558.49221875
transcript.pyannote[112].end 564.60096875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 564.12846875
transcript.pyannote[113].end 566.69346875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 566.77784375
transcript.pyannote[114].end 570.59159375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 566.81159375
transcript.pyannote[115].end 567.38534375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 568.97159375
transcript.pyannote[116].end 570.52409375
transcript.whisperx[0].start 6.419
transcript.whisperx[0].end 32.685
transcript.whisperx[0].text 謝謝主席是不是請經濟部何次長還有台電的曾董事長何次長你好我要請教因為美國是台灣荷蘭料與重要核能設備供應國那台美雙方有簽署核能和平利用合作協定對不對
transcript.whisperx[1].start 36.81
transcript.whisperx[1].end 57.615
transcript.whisperx[1].text 那美國在台協會鼓勵言近日表示在核能方面美國準備好協助引進既有及新興的技術例如小型模組化的反應爐也樂意幫助台灣解決核廢料儲存的挑戰
transcript.whisperx[2].start 59.375
transcript.whisperx[2].end 83.423
transcript.whisperx[2].text 那過去已經過世的環保署署長李應元前署長也曾希望美國協助處理台灣的核廢料那這個核廢料議題本期希望經濟部與台電等相關部會競速與美方來磋商那修改台美
transcript.whisperx[3].start 84.743
transcript.whisperx[3].end 106.785
transcript.whisperx[3].text 核能和平利用合作協定將美方協助台灣處理核廢料的儲存也納入整個協定之中以利台灣未來核能發展這個請經濟部把本席的建議我想跟台電你們帶回去就是給行政院來研究可以吧
transcript.whisperx[4].start 110.785
transcript.whisperx[4].end 127.879
transcript.whisperx[4].text 我想我們會研究 因為新核能的這些技術還在等待這個商轉期所以這個發展的過程可能我們還是需要關注這些相關技術的一個發展
transcript.whisperx[5].start 128.479
transcript.whisperx[5].end 143.41
transcript.whisperx[5].text 因為這是未來講實在話現在核能全世界都把它歸類成綠能而且你看那個福島它也是重新再起那為什麼說台電一直虧損年年你就是用因為講實在話以核養綠是對的但是
transcript.whisperx[6].start 147.513
transcript.whisperx[6].end 170.608
transcript.whisperx[6].text 現在就是你綠能也接不上然後你核燃油全部都到齊那講實在話我們希望說這個人員的部分是非常重要因為媒體報導包括阿拉斯加液化天然氣的管線計畫需要耗費440億美元差不多新台幣1.3兆來打造1287公里長的輸送管將天然氣送到亞洲
transcript.whisperx[7].start 176.792
transcript.whisperx[7].end 201.558
transcript.whisperx[7].text 那我請問何市長相較於參與投資與興建美國阿拉斯加天然氣的管線為何不繼續沿用傳運的模式擴大向美方來購買天然氣因為管線與傳運兩種天然氣運輸成本的分析比較利弊得失經濟部你們到底有沒有去
transcript.whisperx[8].start 203.639
transcript.whisperx[8].end 220.969
transcript.whisperx[8].text 這個考量過讓社會大眾來做參酌對電價可能有衝擊到底衝擊多少因為你從那裡運輸過來說不定你比那個船運更貴那剛剛其實前面的委員有講你像這個
transcript.whisperx[9].start 225.455
transcript.whisperx[9].end 245.224
transcript.whisperx[9].text 我們這個核能的部分你要是說美國我們給他買一些現在我們幾座核電廠還有一些空間那你要是能夠利用把它好好的運作不會台電虧損年年因為你現在你的綠電你的風電那個價格都是天價
transcript.whisperx[10].start 246.886
transcript.whisperx[10].end 259.286
transcript.whisperx[10].text 你核電是最便宜最乾淨而且不會污染的電你們就晃著說我就是不用我就是一定要用綠電用光電結果你看很多現在都在燒煤炭
transcript.whisperx[11].start 260.56
transcript.whisperx[11].end 277.292
transcript.whisperx[11].text 那個台中啊彰化其實那些很多鄉親包括甚至於桃園周邊你看多嚴重因為他們一直在燒啊我相信台電董事長你很清楚跟委員報告其實我們現在是用天然氣來取代煤做為這個也是一樣有汙染啦對不對
transcript.whisperx[12].start 279.974
transcript.whisperx[12].end 298.325
transcript.whisperx[12].text 這幾年來其實我們台電的火力發電的這些空屋的量已經降到 降了七成左右了所以目前我們也正在加速在做一些機組的太舊換新那這個部分我想也會改善我們台灣的這個那個市長我希望你們要好好的規劃啦
transcript.whisperx[13].start 299.526
transcript.whisperx[13].end 318.285
transcript.whisperx[13].text 長遠的規劃不是一直好像一個坑一樣那這次你要是說不過一千億不夠的話你們說馬上要漲電價那等於是永遠的一個坑嘛那個洞是補不滿的啦要真的要好好的為老百姓來著想現在外面的物價你看一直在飆漲對不對政府是有責任的
transcript.whisperx[14].start 321.144
transcript.whisperx[14].end 329.566
transcript.whisperx[14].text 那個根據核安會的核三廚藝計畫核三廠每部機組每年發電是84億度換言之核三廠二號機每天發電差不多2300萬度啦那根據台電的官方這個數據應該有一些誤解應該是只有75億度而已75億度不是84億度就對了那個
transcript.whisperx[15].start 345.689
transcript.whisperx[15].end 369.963
transcript.whisperx[15].text 因為我這是有根據的根據台電官網各種發電方式之發電成本114年1到3月燃氣每度3.05塊核能每度是1.76塊那核三廠二號機每日發電量除以後若全數改用天然氣發電每天要多發2967萬一年下來發電的成本多了108億
transcript.whisperx[16].start 375.186
transcript.whisperx[16].end 401.008
transcript.whisperx[16].text 這是有根據的啦反觀鄰國你看日本歷經了311事件仍然重新來擁抱核能透過修法在安全的前提下允許再延長核電廠運轉的連線美國日本包括鄰近的韓國都大舉來發展核電難道賴政府的人員政策你們不能通盤檢討嗎
transcript.whisperx[17].start 402.694
transcript.whisperx[17].end 430.569
transcript.whisperx[17].text 那個何次長你們不能夠通盤前逃嗎 問完報告齁 其實就是說整個核能的政策齁 我想不管總統或院長都講得很清楚啦 因為牽涉到整個核能的安全還有核廢料的處理 全世界任何國家都一樣不是只有我們這裡啊 對 但是台灣地小人醜啦 地小人醜所以我們需要特別關注核能安全的問題因為一發生這些相關的這種地震齁這個可能就會影響到整個核
transcript.whisperx[18].start 431.369
transcript.whisperx[18].end 450.311
transcript.whisperx[18].text 核能安全的部分那另外我們核電廠也都已經運作40年了那為什麼鄰近國家他們可以繼續演我們這裡就不行呢你只要把它檢查好安全無力繼續演有什麼問題所以必須要經過一個程序啦我希望說好好的去探討啦
transcript.whisperx[19].start 451.712
transcript.whisperx[19].end 479.827
transcript.whisperx[19].text 我認為說不是你們這樣講就這樣算因為你要為全體老百姓來著想人家為什麼全世界都是用把核電都繼續使用甚至還擴大包括美國都一樣我們為什麼一定要全部把它廢掉廢得綠電 光電 風電而且裡面貪污一堆大家清清楚楚的我們希望說政府要站在老百姓的立場
transcript.whisperx[20].start 480.487
transcript.whisperx[20].end 485.929
transcript.whisperx[20].text 輝達執行長黃連勳來台灣參加2025年台北國際電腦展相關活動有望宣布輝達海外總部在台灣選址的結果那我請問理事長輝達投資台灣是否因為美國關稅而有變數 有沒有
transcript.whisperx[21].start 505.309
transcript.whisperx[21].end 525.126
transcript.whisperx[21].text 我想這個部分應該由輝達的公司你們應該要去了解我們是不是可以期待輝達加碼投資台灣在台設立海外總部輝達其實他目前在台灣這邊跟我們經濟部這邊申請的相關的一些研發的計畫都還持續在進行當中沒有斷
transcript.whisperx[22].start 529.15
transcript.whisperx[22].end 535.335
transcript.whisperx[22].text 那個次長2024年為例喬外資合計台台投資78億美元2023年投資112億美元受到美國關稅戰的影響經濟部預估2025年喬外資投資台灣的金額目標你們有沒有去預估過大概可以多少美元
transcript.whisperx[23].start 555.056
transcript.whisperx[23].end 569.35
transcript.whisperx[23].text 這個部分我想我們都是滾動式在檢討啦因為這個目前這個美國關稅的政策現在大家都還在觀望當中有沒有機會像2024年那樣子我想我們希望能夠突破啦這樣喔 好 謝謝