iVOD / 167921

Field Value
IVOD_ID 167921
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167921
日期 2026-03-25
會議資料.會議代碼 委員會-11-5-19-4
會議資料.會議代碼:str 第11屆第5會期經濟委員會第4次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 4
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第5會期經濟委員會第4次全體委員會議
影片種類 Clip
開始時間 2026-03-25T12:39:48+08:00
結束時間 2026-03-25T12:45:34+08:00
影片長度 00:05:46
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/755992caaad3baaeff5b410a596bb35c2ba03baa58d69313f19eff9622767a8eaf1408e11982b4235ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 郭國文
委員發言時間 12:39:48 - 12:45:34
會議時間 2026-03-25T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第4次全體委員會議(事由:邀請經濟部部長列席報告業務概況,並備質詢。 邀請經濟部部長率台灣電力公司董事長就「核二、核三廠自主安全檢查現況與再運轉計畫及政府『重啟核電三原則』之歷年進度與現況說明」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 1.97159375
transcript.pyannote[0].end 2.84909375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 3.06846875
transcript.pyannote[1].end 5.21159375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 12.72096875
transcript.pyannote[2].end 13.19346875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 13.76721875
transcript.pyannote[3].end 24.97221875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 24.97221875
transcript.pyannote[4].end 25.59659375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 26.15346875
transcript.pyannote[5].end 59.04284375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 59.51534375
transcript.pyannote[6].end 61.77659375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 62.19846875
transcript.pyannote[7].end 72.84659375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 72.84659375
transcript.pyannote[8].end 73.26846875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 73.21784375
transcript.pyannote[9].end 80.17034375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 80.74409375
transcript.pyannote[10].end 81.41909375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 81.82409375
transcript.pyannote[11].end 82.49909375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 83.24159375
transcript.pyannote[12].end 86.49846875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 87.08909375
transcript.pyannote[13].end 96.53909375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 97.51784375
transcript.pyannote[14].end 97.88909375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 98.47971875
transcript.pyannote[15].end 99.54284375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 100.25159375
transcript.pyannote[16].end 101.16284375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 101.16284375
transcript.pyannote[17].end 101.17971875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 101.63534375
transcript.pyannote[18].end 102.02346875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 102.02346875
transcript.pyannote[19].end 102.63096875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 103.20471875
transcript.pyannote[20].end 103.22159375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 103.22159375
transcript.pyannote[21].end 103.54221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 104.26784375
transcript.pyannote[22].end 107.01846875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 107.49096875
transcript.pyannote[23].end 109.43159375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 109.95471875
transcript.pyannote[24].end 111.08534375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 111.20346875
transcript.pyannote[25].end 117.07596875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 115.18596875
transcript.pyannote[26].end 115.21971875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 116.08034375
transcript.pyannote[27].end 121.22721875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 121.26096875
transcript.pyannote[28].end 139.77284375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 140.71784375
transcript.pyannote[29].end 141.74721875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 142.65846875
transcript.pyannote[30].end 147.72096875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 142.75971875
transcript.pyannote[31].end 144.09284375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 146.08409375
transcript.pyannote[32].end 148.02471875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 147.90659375
transcript.pyannote[33].end 147.97409375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 148.02471875
transcript.pyannote[34].end 148.09221875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 148.09221875
transcript.pyannote[35].end 148.91909375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 148.19346875
transcript.pyannote[36].end 153.77909375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 153.25596875
transcript.pyannote[37].end 156.00659375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 156.58034375
transcript.pyannote[38].end 164.37659375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 162.21659375
transcript.pyannote[39].end 162.35159375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 164.49471875
transcript.pyannote[40].end 166.06409375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 165.65909375
transcript.pyannote[41].end 166.09784375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 166.09784375
transcript.pyannote[42].end 166.30034375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 167.00909375
transcript.pyannote[43].end 169.48971875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 167.04284375
transcript.pyannote[44].end 167.38034375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 169.60784375
transcript.pyannote[45].end 169.81034375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 170.14784375
transcript.pyannote[46].end 170.56971875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 171.12659375
transcript.pyannote[47].end 174.16409375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 173.03346875
transcript.pyannote[48].end 174.38346875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 174.56909375
transcript.pyannote[49].end 177.97784375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 177.97784375
transcript.pyannote[50].end 186.90471875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 186.90471875
transcript.pyannote[51].end 187.29284375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 187.15784375
transcript.pyannote[52].end 219.37221875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 188.27159375
transcript.pyannote[53].end 188.38971875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 188.45721875
transcript.pyannote[54].end 188.59221875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 219.79409375
transcript.pyannote[55].end 220.36784375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 220.73909375
transcript.pyannote[56].end 225.17721875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 225.61596875
transcript.pyannote[57].end 225.98721875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 226.69596875
transcript.pyannote[58].end 227.79284375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 228.43409375
transcript.pyannote[59].end 229.34534375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 228.97409375
transcript.pyannote[60].end 230.49284375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 230.72909375
transcript.pyannote[61].end 231.74159375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 232.06221875
transcript.pyannote[62].end 236.78721875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 237.74909375
transcript.pyannote[63].end 243.13221875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 243.57096875
transcript.pyannote[64].end 247.63784375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 248.27909375
transcript.pyannote[65].end 253.42596875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 253.71284375
transcript.pyannote[66].end 254.05034375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 254.53971875
transcript.pyannote[67].end 255.68721875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 257.05409375
transcript.pyannote[68].end 257.86409375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 258.69096875
transcript.pyannote[69].end 259.58534375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 259.95659375
transcript.pyannote[70].end 263.31471875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 265.12034375
transcript.pyannote[71].end 266.50409375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 266.97659375
transcript.pyannote[72].end 269.13659375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 269.67659375
transcript.pyannote[73].end 271.65096875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 271.00971875
transcript.pyannote[74].end 271.53284375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 271.65096875
transcript.pyannote[75].end 272.20784375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 272.15721875
transcript.pyannote[76].end 274.89096875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 276.00471875
transcript.pyannote[77].end 277.10159375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 277.50659375
transcript.pyannote[78].end 279.80159375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 279.70034375
transcript.pyannote[79].end 282.67034375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 281.53971875
transcript.pyannote[80].end 291.56346875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 293.25096875
transcript.pyannote[81].end 295.81596875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 296.06909375
transcript.pyannote[82].end 300.01784375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 300.99659375
transcript.pyannote[83].end 302.46471875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 304.38846875
transcript.pyannote[84].end 305.41784375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 306.09284375
transcript.pyannote[85].end 306.83534375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 306.83534375
transcript.pyannote[86].end 306.93659375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 306.93659375
transcript.pyannote[87].end 307.07159375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 307.07159375
transcript.pyannote[88].end 308.05034375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 308.05034375
transcript.pyannote[89].end 309.99096875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 308.08409375
transcript.pyannote[90].end 308.92784375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 310.49721875
transcript.pyannote[91].end 312.55596875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 312.55596875
transcript.pyannote[92].end 313.04534375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 313.04534375
transcript.pyannote[93].end 313.80471875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 314.86784375
transcript.pyannote[94].end 316.63971875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 316.63971875
transcript.pyannote[95].end 316.79159375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 317.83784375
transcript.pyannote[96].end 318.88409375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 319.94721875
transcript.pyannote[97].end 320.97659375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 320.97659375
transcript.pyannote[98].end 322.79909375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 322.79909375
transcript.pyannote[99].end 323.15346875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 322.95096875
transcript.pyannote[100].end 325.38096875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 325.66784375
transcript.pyannote[101].end 327.55784375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 328.31721875
transcript.pyannote[102].end 329.14409375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 329.83596875
transcript.pyannote[103].end 330.74721875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 330.83159375
transcript.pyannote[104].end 331.10159375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 331.48971875
transcript.pyannote[105].end 336.48471875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 336.99096875
transcript.pyannote[106].end 338.07096875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 339.74159375
transcript.pyannote[107].end 340.56846875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 340.70346875
transcript.pyannote[108].end 342.18846875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 342.64409375
transcript.pyannote[109].end 344.97284375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 344.97284375
transcript.pyannote[110].end 346.81221875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 346.96409375
transcript.pyannote[111].end 347.87534375
transcript.whisperx[0].start 2.275
transcript.whisperx[0].end 4.947
transcript.whisperx[0].text 謝謝主席,有請經濟部工部長
transcript.whisperx[1].start 12.762
transcript.whisperx[1].end 34.751
transcript.whisperx[1].text 各位好部長好部長那個2月24號的時候您開了一個美國宣布科珍15%一二條條款對於這個產業的影響的這個記者會當中也特別強調對汽車零組件沒有影響但事實上來說汽車零組件從去年的4月的這一個對等關稅川普之後呢就高達27.5%的這個部分已經為期一年了
transcript.whisperx[2].start 38.473
transcript.whisperx[2].end 57.759
transcript.whisperx[2].text 那當然美國內部的整個國內的程序的完成是一個重要且關鍵可是從2月24號從去年到現在其實維持已經一段時間那以至於呢現在造成什麼樣的結果跟現象呢我覺得部長你真的要去了解去苦民所苦了解產業的痛以台灣來說呢它汽車零組件我們是攻擊過
transcript.whisperx[3].start 59.6
transcript.whisperx[3].end 82.333
transcript.whisperx[3].text 但我們競爭對手主要是韓國那韓國的這個稅率的部分15%那我們仍然處於27.5的這種高稅率的情況底下就造成了這種轉單的效應那轉單之後呢訂單往韓國集中韓國沒有辦法消化之後他又轉回來台灣台灣做什麼就變代工
transcript.whisperx[4].start 83.331
transcript.whisperx[4].end 102.208
transcript.whisperx[4].text 就利潤外移台灣製造的現象就產生了這種現象真的是在地方特別是中南部汽車零組建的一個重鎮的地方真的是哀鴻遍野部長怎麼會沒有影響影響很大怎麼辦
transcript.whisperx[5].start 104.625
transcript.whisperx[5].end 120.544
transcript.whisperx[5].text 我們本來是希望ART如果這個或者是那個MOU的這個關稅啊趕快抵定以後開始實施啊事實上我們就可以降到15嘛是啊但是還沒有嘛這一段時間我們就那有什麼辦法你不要一直講沒有你政府沒有辦法那業者該怎麼辦啊
transcript.whisperx[6].start 121.505
transcript.whisperx[6].end 137.47
transcript.whisperx[6].text 你知道從2月24號你就這樣宣布啦而且從去年到現在你知道你們就我側面了解詢問貴部的話你說等到台美對等貿易協定ART在美國完成國內程序那你至少要知道一下你們追蹤的狀況怎麼樣嘛讓業者心裡頭有譜嘛一個禮拜還是兩個禮拜
transcript.whisperx[7].start 144.092
transcript.whisperx[7].end 168.508
transcript.whisperx[7].text 這個還是要等美國他的這個法院的完備你也要做出你的努力啊有有有 我們每個禮拜都跟美國在每個禮拜就對了啊那現在狀況怎麼樣就是他們還在這個法院的這個準備因為他現在在準備301啦然後301一旦完備以後就會那301什麼時候完備301他們要一段時間的調查
transcript.whisperx[8].start 171.18
transcript.whisperx[8].end 188.03
transcript.whisperx[8].text 要不要調查到民國幾年中間會不會有另外的安排這個我們會密切的跟美方來做接觸這樣子好不好你把你最近的狀況待會會後給本席一份我給那個相關的業者交代要越具體越好麻煩一下
transcript.whisperx[9].start 188.57
transcript.whisperx[9].end 210.179
transcript.whisperx[9].text 那另外一個部分呢有關於這個經濟部最新公布的全國的電力資源的供需報告當中到2032年每天都有備載容量要維持10%的這個部分可是這個10%的部分啊也就是說呢你要把你本身自建的機組賣延檔沒有延檔但是我知道台電自己本身就會延檔
transcript.whisperx[10].start 210.939
transcript.whisperx[10].end 236.565
transcript.whisperx[10].text 那平常你還有民間的國光、麥寮、森霸等民間的IPP的部分還有地方的黃屏跟公關都要處理好結果出現了什麼問題第一個呢高雄興達發電廠新建的機組在去年9月的時候發生爆炸這個有沒有調查報告有調查報告那調查報告給本席一份二來的部分呢你民間推動不成的時候你現在森霸二期剛完成沒有多久
transcript.whisperx[11].start 237.81
transcript.whisperx[11].end 263.181
transcript.whisperx[11].text 我跟你講欸 真的 馬上又複製了那個綠電的那個KPI模式欸複製了綠電的KPI模式就會導致什麼 超速會變成翻車啊哪有二期剛完成而已 你現在對外已經講說你接下來又要送這個環評論壇了地方完全不知道 議論紛紛 十分反彈好不容易建立了地方的信任關係 已經引起公憤了
transcript.whisperx[12].start 265.288
transcript.whisperx[12].end 286.658
transcript.whisperx[12].text 政府你應該公開大剌剌去跟地方講清楚嘛是因為2奈米的問題還是因為什麼樣的關鍵都沒有講別說我立議啊地方的議員啊 里長啊 大家齁地方溝通是一定要的測才不會測啦地方溝通是一定的標準程序現在就沒有啊你們現在開始啟動程序對方都傳出風聲啊所有這個問題啊
transcript.whisperx[13].start 293.428
transcript.whisperx[13].end 318.641
transcript.whisperx[13].text 先斬後奏嘛 幹了再說嘛後面看要怎麼收拾嘛 誰在收拾都不是台電啦 也不是經濟部啦我們等一個民意代表啦有人這樣幹的嗎不是 標準程序是一定要地方溝通現在已經豐盛出來 已經送了那個環評論壇啦 部長你去追一下啦我意思是說 曾董事長也在你旁邊嘛不要那麼急啦
transcript.whisperx[14].start 320.08
transcript.whisperx[14].end 345.622
transcript.whisperx[14].text 我來瞭解一下 信任關係最重要啦人家已經給你做一季做一季 都配合你了你熊熊出了就要用輸你三季我來瞭解一下對嗎 不對嗎 企劃組合好就好嘛你急大家也急嘛 大家誰不知道說需要電但是不能這樣幹嘛文明一點啦 別這麼粗魯啦 拜託一下好 請經濟部多家與地方溝通謝謝 謝謝國務委員