iVOD / 168748

Field Value
IVOD_ID 168748
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168748
日期 2026-04-22
會議資料.會議代碼 委員會-11-5-19-10
會議資料.會議代碼:str 第11屆第5會期經濟委員會第10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 10
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10次全體委員會議
影片種類 Clip
開始時間 2026-04-22T12:13:21+08:00
結束時間 2026-04-22T12:19:05+08:00
影片長度 00:05:44
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5b5880b40c5769f1c07f35c07e5d29d763812774c6aab6af5c95c54bff74e4160c48c7cb505eef785ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 葉元之
委員發言時間 12:13:21 - 12:19:05
會議時間 2026-04-22T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第10次全體委員會議(事由:一、審查115年度中央政府總預算案關於經濟部及所屬單位預算部分。 二、審查115年度中央政府總預算案直轄市及縣市政府一般性補助款經濟部主管部分預算。 (以上二案僅詢答) 【4月22日及23日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.76909375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 14.47596875
transcript.pyannote[1].end 17.58096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 23.03159375
transcript.pyannote[2].end 23.63909375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 23.77409375
transcript.pyannote[3].end 24.31409375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 24.70221875
transcript.pyannote[4].end 30.82784375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 31.30034375
transcript.pyannote[5].end 35.43471875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 35.75534375
transcript.pyannote[6].end 36.44721875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 37.07159375
transcript.pyannote[7].end 38.45534375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 38.74221875
transcript.pyannote[8].end 39.26534375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 38.86034375
transcript.pyannote[9].end 39.24846875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 39.26534375
transcript.pyannote[10].end 40.10909375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 40.29471875
transcript.pyannote[11].end 42.57284375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 42.85971875
transcript.pyannote[12].end 44.54721875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 44.74971875
transcript.pyannote[13].end 46.31909375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 46.96034375
transcript.pyannote[14].end 53.54159375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 54.23346875
transcript.pyannote[15].end 58.31721875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 58.46909375
transcript.pyannote[16].end 59.46471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 59.71784375
transcript.pyannote[17].end 64.20659375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 64.54409375
transcript.pyannote[18].end 64.56096875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 64.56096875
transcript.pyannote[19].end 67.02471875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 67.02471875
transcript.pyannote[20].end 77.55471875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 75.44534375
transcript.pyannote[21].end 77.92596875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 77.92596875
transcript.pyannote[22].end 77.97659375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 77.97659375
transcript.pyannote[23].end 89.82284375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 80.35596875
transcript.pyannote[24].end 82.54971875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 90.07596875
transcript.pyannote[25].end 93.31596875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 93.88971875
transcript.pyannote[26].end 97.26471875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 97.65284375
transcript.pyannote[27].end 106.46159375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 107.00159375
transcript.pyannote[28].end 117.63284375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 114.15659375
transcript.pyannote[29].end 117.66659375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 117.66659375
transcript.pyannote[30].end 117.97034375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 117.97034375
transcript.pyannote[31].end 127.75784375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 119.40471875
transcript.pyannote[32].end 120.63659375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 123.97784375
transcript.pyannote[33].end 124.75409375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 127.62284375
transcript.pyannote[34].end 131.62221875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 129.04034375
transcript.pyannote[35].end 129.41159375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 129.81659375
transcript.pyannote[36].end 132.75284375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 132.22971875
transcript.pyannote[37].end 132.31409375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 133.34346875
transcript.pyannote[38].end 141.30846875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 140.09346875
transcript.pyannote[39].end 141.08909375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 141.34221875
transcript.pyannote[40].end 156.05721875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 142.57409375
transcript.pyannote[41].end 145.18971875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 145.62846875
transcript.pyannote[42].end 146.92784375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 156.49596875
transcript.pyannote[43].end 170.38409375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 170.50221875
transcript.pyannote[44].end 181.55534375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 171.37971875
transcript.pyannote[45].end 172.34159375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 178.07909375
transcript.pyannote[46].end 178.92284375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 181.94346875
transcript.pyannote[47].end 182.28096875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 182.60159375
transcript.pyannote[48].end 185.09909375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 185.52096875
transcript.pyannote[49].end 188.72721875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 185.85846875
transcript.pyannote[50].end 187.79909375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 188.72721875
transcript.pyannote[51].end 189.52034375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 189.52034375
transcript.pyannote[52].end 195.46034375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 189.57096875
transcript.pyannote[53].end 190.75221875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 195.81471875
transcript.pyannote[54].end 196.60784375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 196.92846875
transcript.pyannote[55].end 216.92534375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 216.97596875
transcript.pyannote[56].end 233.74971875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 225.46409375
transcript.pyannote[57].end 228.58596875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 229.24409375
transcript.pyannote[58].end 233.15909375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 234.23909375
transcript.pyannote[59].end 234.30659375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 234.30659375
transcript.pyannote[60].end 234.34034375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 234.34034375
transcript.pyannote[61].end 234.57659375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 234.37409375
transcript.pyannote[62].end 234.44159375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 234.57659375
transcript.pyannote[63].end 234.59346875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 234.59346875
transcript.pyannote[64].end 234.96471875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 234.96471875
transcript.pyannote[65].end 248.78534375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 243.77346875
transcript.pyannote[66].end 245.93346875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 249.00471875
transcript.pyannote[67].end 257.94846875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 251.72159375
transcript.pyannote[68].end 252.16034375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 258.16784375
transcript.pyannote[69].end 260.61471875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 260.85096875
transcript.pyannote[70].end 269.71034375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 270.38534375
transcript.pyannote[71].end 274.78971875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 275.17784375
transcript.pyannote[72].end 279.00846875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 278.75534375
transcript.pyannote[73].end 289.23471875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 280.94909375
transcript.pyannote[74].end 281.30346875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 289.48784375
transcript.pyannote[75].end 292.25534375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 292.25534375
transcript.pyannote[76].end 292.87971875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 293.82471875
transcript.pyannote[77].end 303.71346875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 300.45659375
transcript.pyannote[78].end 301.14846875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 301.55346875
transcript.pyannote[79].end 308.33721875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 308.53971875
transcript.pyannote[80].end 314.12534375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 311.40846875
transcript.pyannote[81].end 311.77971875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 313.38284375
transcript.pyannote[82].end 314.85096875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 314.53034375
transcript.pyannote[83].end 321.41534375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 321.16221875
transcript.pyannote[84].end 321.97221875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 321.97221875
transcript.pyannote[85].end 324.58784375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 322.84971875
transcript.pyannote[86].end 324.77346875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 324.62159375
transcript.pyannote[87].end 328.77284375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 329.00909375
transcript.pyannote[88].end 330.49409375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 330.64596875
transcript.pyannote[89].end 335.48909375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 334.47659375
transcript.pyannote[90].end 337.00784375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 336.19784375
transcript.pyannote[91].end 341.12534375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 341.12534375
transcript.pyannote[92].end 341.53034375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 341.42909375
transcript.pyannote[93].end 342.22221875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 344.97284375
transcript.pyannote[94].end 345.49596875
transcript.whisperx[0].start 0.089
transcript.whisperx[0].end 0.83
transcript.whisperx[0].text 主席好 麻煩請部長 經濟部長 謝謝請工部長
transcript.whisperx[1].start 25.37
transcript.whisperx[1].end 45.697
transcript.whisperx[1].text 我看到中國大陸說要給我們惠台十大措施結果經濟部馬上就發文了那標題叫做台灣走自己的路無需回頭依附中國很強硬啊我是覺得都有市場開發啦經濟部有點反應過度了為什麼我這樣講第一個人家是說市場開放
transcript.whisperx[2].start 47.234
transcript.whisperx[2].end 74.227
transcript.whisperx[2].text 對台灣做生意的人來講中小企業或什麼多一個市場我多一個地方可以賣東西過去這個沒有說什麼回頭依附的問題你們現在經濟部或農委會農業部不是都一直在講說我們要開放多元市場嗎很好啊繼續做啊但多一個市場怎麼又講說是依附這我覺得有一點因為他講說有條件之下怎麼樣怎麼樣但是有條件就
transcript.whisperx[3].start 75.487
transcript.whisperx[3].end 89.494
transcript.whisperx[3].text 有條件是另外一件事情我要講就是說如果他願意開放市場然後我們評估之後覺得OK的那當然可以去啊但是馬上扣個帽子說因為他開放所以我們就是回去依附我覺得經濟部這樣講中小企業聽了也不高興啊
transcript.whisperx[4].start 90.194
transcript.whisperx[4].end 105.874
transcript.whisperx[4].text 我們沒有要依附只是多一個市場機會那我看到政府每次都講說那個叫養套殺他把你養起來到時候要殺你不是啦這個做生意都有風險你們現在政府一直鼓勵企業到美國去投資沒有風險嗎
transcript.whisperx[5].start 107.225
transcript.whisperx[5].end 132.367
transcript.whisperx[5].text 包委員就是說所以我們為什麼比較強調如果政府對政府不管有沒有透過白手套總是有一個那政府就趕快對政府啊對我們是希望這樣子政府就趕快對政府那政府不對政府然後民間的努力政府又翹著二郎腿旁邊說不要不要不要那政府就沒有存在沒有功能了嘛單方面的承諾他可能隨時會改變也造成七五分布朗跟你請教因為
transcript.whisperx[6].start 133.368
transcript.whisperx[6].end 144.997
transcript.whisperx[6].text 我看到商總啊他們帶領很多產業出來中小企業啊做糕餅的啊當然有的跟進一步可能比較有關係啦比如說觀光業觀光業跟我們不是無關的我知道我知道無關農業也無關啦但是糕餅啊中小企業其實他們是還蠻有趣的那
transcript.whisperx[7].start 149.62
transcript.whisperx[7].end 166.059
transcript.whisperx[7].text 我認為經濟部應該做的角色是他們去你幫他評估風險你剛剛講可能的風險但是做生意一定都會有風險我剛剛講去美國也有風險台積電投資那麼多過去當初拜登講說要給他補助川普一上任就說考慮把補助取消
transcript.whisperx[8].start 167.16
transcript.whisperx[8].end 181.093
transcript.whisperx[8].text 都是風險啦不能把風險講成養套殺啦所以這種東西盡量不要經濟的東西我覺得盡量不要講意識形態這個是我給經濟部的提醒因為我看到經濟部馬上就哇 那個政治口號就出來了
transcript.whisperx[9].start 181.994
transcript.whisperx[9].end 196.15
transcript.whisperx[9].text 那然後還有商總說他有接到壓力啊那經濟部有給他商總壓力嗎我沒有跟他聯絡你沒有那經濟部其他的我們是有同仁去跟那個糕餅公會問他說就是說
transcript.whisperx[10].start 197.071
transcript.whisperx[10].end 224.574
transcript.whisperx[10].text 因為他就是說什麼有條件之下什麼開放什麼中小什麼市場那個意思到底是什麼那我們高屏公會跟我們回答是說喔他們要表達的是說因為過去他們我們出口到他們那邊的時候因為他的那個凱關的行政程序非常忙因為高屏他是有期限的如果那個期限太長的話就會壞掉他們希望說這個可不可以簡化那基本上這個跟所謂的今年的會談就沒有什麼關係嗎
transcript.whisperx[11].start 226.036
transcript.whisperx[11].end 243.357
transcript.whisperx[11].text 講話也很好啊所以這個訴求我們同意啊我們也支持啊不是我說高品工會的訴求就是簡化流程那個部分所以你們不是給他壓力你們是關心一下說現在什麼狀況然後他跟你說可以簡化你就說好那來幫忙
transcript.whisperx[12].start 243.737
transcript.whisperx[12].end 269.522
transcript.whisperx[12].text 對 我可以幫忙我覺得這就不錯啊這就站在業者角度嘛就盡量所以商總生氣商總還嗆聲說他也有選票我覺得不用這樣子啦我覺得不用這樣我覺得政府盡量幫忙不要意識形態然後第二個齁我昨天看到有那個反核團體去跟總統見面嘛然後還是反核啊然後有人轉述說總統在勸他們說哎呀現在狀況不一樣了啦電力供應不如預期啦
transcript.whisperx[13].start 270.763
transcript.whisperx[13].end 292.766
transcript.whisperx[13].text AI產業需求那第一步有評估嗎?現在是沒有辦法達到之前的電力供應的目標了嗎?就是說我們滾動式的嘛2032年之前2032年、2034年之前我們都已經評估好至少在這一段時間裡面電力的供應是沒有問題的電力供應沒問題但是它有沒有達到你的預期?有沒有?
transcript.whisperx[14].start 294.288
transcript.whisperx[14].end 321.282
transcript.whisperx[14].text 這沒有問題啊我們有達到就是因為我們會估算就是說包括AI算力的需求等等一些需求所以你最新的這樣好不好你最新的那個預計譬如說我們的需電量是多少你把那所有的產業的發展全部算進來你就預期到2032嗎2034 對需要我們大概我們需要多少電然後我們可以發多少電對然後我們發電的裝置容量各個是多少對對對
transcript.whisperx[15].start 322.062
transcript.whisperx[15].end 341.808
transcript.whisperx[15].text 你提供給我一份資料可以可以那因為總統講說用電供電不如預期他是這樣子講所以有重新那個重啟的需求是總統講的但是部長講說目前為止是沒有至少到2032是沒有那你資料給我我來看一下好不好謝謝好謝謝