iVOD / 149530

Field Value
IVOD_ID 149530
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/149530
日期 2024-03-07
會議資料.會議代碼 委員會-11-1-19-2
會議資料.會議代碼:str 第11屆第1會期經濟委員會第2次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 2
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1會期經濟委員會第2次全體委員會議
影片種類 Clip
開始時間 2024-03-07T11:21:01+08:00
結束時間 2024-03-07T11:31:18+08:00
影片長度 00:10:17
支援功能[0] ai-transcript
支援功能[1] gazette
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1441ba9c2015bdbe3b035a476e2c179a3ebf0b3ad7e91c05f8ba9b0039caa7a68a83d6b4086f51895ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳超明
委員發言時間 11:21:01 - 11:31:18
會議時間 2024-03-07T09:00:00+08:00
會議名稱 立法院第11屆第1會期經濟委員會第2次全體委員會議(事由:邀請經濟部部長率台灣電力股份有限公司董事長就「電價調漲對產業、民生等衝擊研擬配套措施」進行報告,並備質詢。【3月4日、3月6日及7日三天一次會】)
gazette.lineno 793
gazette.blocks[0][0] 陳委員超明:(11時21分)主席好,首先請經濟部王部長。
gazette.blocks[1][0] 主席:再請王部長。
gazette.blocks[2][0] 王部長美花:委員好。
gazette.blocks[3][0] 陳委員超明:王部長好。剛才邱志偉委員說到離岸風電的國產化問題,記得在沈榮津擔任部長的時候,本席也屢次提出。邱志偉委員說的是事實,總數56座,只有6座在臺灣做,這些本席當初都有提出來,你們還說不會有這種狀況,結果現在根本就沒有給國產廠商訂單,而且剛才邱志偉委員還說北部那家廠商的實力和政商關係都非常好。
gazette.blocks[3][1] 本席只和部長提醒一件事情,當初我們為了趕快完成離岸風力的目標,總共需要56座,6座在臺灣慢慢磨,其他的都在韓國做,後續也在韓國設立工廠,結果最後卻是迷迷糊糊混過去,這些事情我們都一清二楚,講了你們也不聽,以為我們是在批評你。
gazette.blocks[3][2] 其實他說的是對的,你們的確要注意這樣的現象,因為很多業界人士反映,政府說要國產化,所以他們的機械、設備都買了,但你們卻不下訂單,你們只和大財團,和那種把臺灣當作殖民地的公司合作,這些事已經說過好幾次,本席希望你們去調查,我們也會去了解,好不好?
gazette.blocks[4][0] 王部長美花:是。其實我們都有努力協助廠商,但因為學習曲線的原因,進度確實比較慢。
gazette.blocks[5][0] 陳委員超明:本席相信你們都曉得狀況,以前本席也一直在提這些事情。現在請部長、次長和台電董事長。
gazette.blocks[6][0] 主席:以上各位請上台。
gazette.blocks[7][0] 陳委員超明:今天委員會主要是討論台電電價調漲對於產業、民生等衝擊的配套措施,本席看過你們的報告,台電虧損的主要原因是國際燃料價格飆漲,你們還談到俄烏戰爭發生以後,台電購煤從2020年的64美元,漲到2022年的276美元,足足漲了三倍。中油天然氣則是每立方由8元漲到16元,價格漲了一倍。2023年國際燃料價格雖然回穩,但仍處於高檔,但何為回穩和高檔?請你們解釋一下,回穩是回到以前的基準?還是維持在高檔?總共會下跌多少金額?戰爭進行到現在,大家都沒有燃氣了,回穩和處在高檔又是如何計算?
gazette.blocks[8][0] 王部長美花:剛才委員說的那個情境,現在……
gazette.blocks[9][0] 陳委員超明:請你們解釋清楚,不要說的迷迷糊糊,應該直接說明現在的價格是多少?
gazette.blocks[10][0] 王部長美花:大概比戰前高60%。
gazette.blocks[11][0] 陳委員超明:6%、7%?
gazette.blocks[12][0] 王部長美花:60%。
gazette.blocks[13][0] 陳委員超明:第一個要檢討的是,台電的人才都很優秀,他們購煤都是長期合約,為什麼現在突然漲三倍?這樣也漲太兇了!你們應該去協商一下,因為我們是長期合約的夥伴。中油也是一樣長期購買那幾個地方的油品,結果那幾個地方卻漲成這樣,你們就任人宰割嗎?
gazette.blocks[14][0] 王部長美花:那是平均價。2022年的時候,現貨曾經漲到四百多元。
gazette.blocks[15][0] 陳委員超明:本席現在說的是長約價,這才是占台電、中油採購的大宗。
gazette.blocks[16][0] 王部長美花:因為我們長約價和現貨有一定的比例啦!
gazette.blocks[17][0] 陳委員超明:你們不能只用現貨價來比,長約價應該會比較便宜嘛!所以本席覺得這個講得不怎麼……
gazette.blocks[18][0] 王部長美花:有,就是因為有長約價,所以平均下來才會是二百多元。
gazette.blocks[19][0] 陳委員超明:好了,再說下去,本席的發言時間都要到了。你們說兩年虧損6,000億元,好,本席算帳給你們看,第一個,我們有1,500億元的公務預算補貼,500億元是特別預算,現在你們又增資1,000億元,這樣加起來就是3,000億元。你們虧損的6,000億元應該要減掉這3,000億元,這部分政府已經付給你們了,這是第一點。政府沒有付帳?如果政府都是說假的,你們為什麼不敢說出來?
gazette.blocks[20][0] 曾次長文生:委員,增資不能打虧損啦!
gazette.blocks[21][0] 陳委員超明:2022年電價調漲8%,你們說大概會增加300億元的收入,2023年又調了11%,你們說會增加600億元收入,這樣加起來差不多快1,000億元,所以全部加起來是4,000億元。6,000億元減掉這些政府補貼,以及電費調漲後增加的1,000億元,加加減減之後,你們現在是虧損2,000億元。
gazette.blocks[21][1] 這2,000億元當中,你們說再生能源占了900億元,這部分如果依照你們的售價和成本計算,大概是多付400億元,但你們說這部分沒有什麼影響,所以包括民間電廠的部分,現在你們只有2,000億元的虧損。政府補貼3,000億元,兩次電價上漲將近1,000億元,只有短差2,000億元,所以我不知道你們帳是怎麼算的,我很尊敬你這個消波塊董事長,尤其你跟我說跑去好望角去,剛剛發生火災,我曉得,因為我大概只差你2個小時,你對我的承諾……
gazette.blocks[22][0] 曾次長文生:不是我去看火災,是剛好有火災。
gazette.blocks[23][0] 陳委員超明:你有去,我很感謝你,但是一帳歸一帳來算,你現在這個消波塊是什麼?替蔡英文總統廢核政策辯論,其實錯誤在這邊,你是為了未來新任的賴總統清理戰場。實際算下來,包括再生能源,你們兩年多大概買了1,000億元,負債只有1,000億元,所以現在要跟你講能源政策,我幫你們算一算,其實不是你們虧錢,國家補貼,你說為穩定民生物價當消波塊,我看不是,你是當蔡英文總統的消波塊,幫未來賴清德總統清理戰場的消波塊。已經用政府稅收補貼了,你現在要漲,當然要有合理的調漲程度,但是這都很浮動,你說廢核政策絕對不會漲價,現在告一個段落,蔡英文總統要下臺了,好啦!都是你給我們不漲,我就把責任推給她,替賴清德清理戰場,這個報告裡面財務的問題,補貼了3,000億元。
gazette.blocks[24][0] 曾次長文生:沒有3,000億元,只有補貼500億元。
gazette.blocks[25][0] 陳委員超明:還有你要漲價,大概又增加1,000億元,差2,000億元,再生能源的部分大概2年1,000多億元的支出,大概只剩下1,000億元,你這樣調來調去,把我們調得迷迷糊糊,還講得很仁義道德,說為了什麼穩定物價,我來看一下你寫了什麼,反映成本、照顧民生、穩定物價、節能減碳、使用者付費,我跟你說這絕對會大漲。現在你電價漲,天然氣要不要漲?水要不要漲?那天我看高金素梅在質詢陳院長的時候,她說上次漲價還講到馬英九,馬英九總統就是漲價讓國民黨整個落選,現在你們清理戰場用這一套,誰做的誰承擔,你們是在消除民間的疑慮,講得你們很困難,你們現在頂多只負債1,000億元而已,不要講成6,000億元、燃料成本啦!國家已經3,000億元給你們了,對不對?2022年漲價8%,增加400億元;2023年電費漲價600億元,你們自己寫的預計收入,出來差多少?
gazette.blocks[26][0] 曾次長文生:跟委員報告,增資的2,500億元不是補貼啦!這要跟你報告,這個在虧損上面沒有辦法打零……
gazette.blocks[27][0] 陳委員超明:你以後恢復正常要不要還給政府?
gazette.blocks[28][0] 曾次長文生:如果是照委員的講法,我們現在累虧3,000多億元,其中2,500億元就是……
gazette.blocks[29][0] 陳委員超明:你累虧3,000多億元,我算你的帳面成本,你有兩次漲價,台電大概多收了1,000億元,因為台電人才太好,每一個人太努力,你們是被政策所迫害的,所以你們都是苦不堪言,只是不講話而已。我跟你講老實話,我將成本算出來就知道虧損多少錢了,好不好!你一直急著要上來,我就講到這邊,謝謝。
gazette.blocks[30][0] 王部長美花:謝謝委員。
gazette.blocks[31][0] 主席:謝謝。接下來請賴委員瑞隆質詢。
gazette.agenda.page_end 250
gazette.agenda.meet_id 委員會-11-1-19-2
gazette.agenda.speakers[0] 楊瓊瓔
gazette.agenda.speakers[1] 陳亭妃
gazette.agenda.speakers[2] 林岱樺
gazette.agenda.speakers[3] 邱議瑩
gazette.agenda.speakers[4] 張啓楷
gazette.agenda.speakers[5] 謝衣鳯
gazette.agenda.speakers[6] 呂玉玲
gazette.agenda.speakers[7] 鄭天財Sra Kacaw
gazette.agenda.speakers[8] 張嘉郡
gazette.agenda.speakers[9] 鄭正鈐
gazette.agenda.speakers[10] 邱志偉
gazette.agenda.speakers[11] 陳超明
gazette.agenda.speakers[12] 賴瑞隆
gazette.agenda.speakers[13] 洪申翰
gazette.agenda.speakers[14] 蔡易餘
gazette.agenda.speakers[15] 陳冠廷
gazette.agenda.speakers[16] 徐巧芯
gazette.agenda.speakers[17] 王世堅
gazette.agenda.speakers[18] 王鴻薇
gazette.agenda.speakers[19] 黃國昌
gazette.agenda.speakers[20] 羅智強
gazette.agenda.speakers[21] 洪孟楷
gazette.agenda.speakers[22] 王美惠
gazette.agenda.speakers[23] 劉建國
gazette.agenda.speakers[24] 牛煦庭
gazette.agenda.speakers[25] 林俊憲
gazette.agenda.page_start 187
gazette.agenda.meetingDate[0] 2024-03-07
gazette.agenda.gazette_id 1130801
gazette.agenda.agenda_lcidc_ids[0] 1130801_00005
gazette.agenda.meet_name 立法院第11屆第1會期經濟委員會第2次全體委員會議紀錄
gazette.agenda.content 邀請經濟部部長率台灣電力股份有限公司董事長就「電價調漲對產業、民生等衝擊研擬配套措 施」進行報告,並備質詢
gazette.agenda.agenda_id 1130801_00004
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.68471875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 3.42284375
transcript.pyannote[1].end 4.03034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 8.73846875
transcript.pyannote[2].end 9.68346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 10.37534375
transcript.pyannote[3].end 13.48034375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 13.96971875
transcript.pyannote[4].end 14.99909375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 21.00659375
transcript.pyannote[5].end 22.50846875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 22.93034375
transcript.pyannote[6].end 24.17909375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 24.46596875
transcript.pyannote[7].end 26.52471875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 27.11534375
transcript.pyannote[8].end 28.07721875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 28.63409375
transcript.pyannote[9].end 32.16096875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 32.73471875
transcript.pyannote[10].end 36.41346875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 36.71721875
transcript.pyannote[11].end 37.29096875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 38.32034375
transcript.pyannote[12].end 44.47971875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 44.98596875
transcript.pyannote[13].end 48.64784375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 49.30596875
transcript.pyannote[14].end 53.50784375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 53.92971875
transcript.pyannote[15].end 56.10659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 56.88284375
transcript.pyannote[16].end 58.23284375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 58.46909375
transcript.pyannote[17].end 61.23659375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 61.74284375
transcript.pyannote[18].end 66.50159375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 66.88971875
transcript.pyannote[19].end 69.91034375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 70.34909375
transcript.pyannote[20].end 76.22159375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 76.71096875
transcript.pyannote[21].end 77.92596875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 78.39846875
transcript.pyannote[22].end 82.46534375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 83.14034375
transcript.pyannote[23].end 86.54909375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 86.78534375
transcript.pyannote[24].end 90.04221875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 90.49784375
transcript.pyannote[25].end 97.26471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 97.82159375
transcript.pyannote[26].end 98.76659375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 99.39096875
transcript.pyannote[27].end 101.66909375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 102.04034375
transcript.pyannote[28].end 102.49596875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 102.88409375
transcript.pyannote[29].end 107.71034375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 104.45346875
transcript.pyannote[30].end 108.85784375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 108.36846875
transcript.pyannote[31].end 111.87846875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 110.66346875
transcript.pyannote[32].end 111.22034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 111.86159375
transcript.pyannote[33].end 113.49846875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 114.24096875
transcript.pyannote[34].end 118.13909375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 119.97846875
transcript.pyannote[35].end 120.68721875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 121.51409375
transcript.pyannote[36].end 128.01096875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 128.44971875
transcript.pyannote[37].end 132.22971875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 133.17471875
transcript.pyannote[38].end 134.76096875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 134.94659375
transcript.pyannote[39].end 135.89159375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 136.48221875
transcript.pyannote[40].end 141.17346875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 141.74721875
transcript.pyannote[41].end 154.21784375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 155.44971875
transcript.pyannote[42].end 156.12471875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 157.05284375
transcript.pyannote[43].end 158.41971875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 159.60096875
transcript.pyannote[44].end 165.42284375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 166.46909375
transcript.pyannote[45].end 169.03409375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 169.11846875
transcript.pyannote[46].end 171.46409375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 172.08846875
transcript.pyannote[47].end 182.51721875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 183.14159375
transcript.pyannote[48].end 185.03159375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 185.68971875
transcript.pyannote[49].end 188.89596875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 190.02659375
transcript.pyannote[50].end 190.36409375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 190.36409375
transcript.pyannote[51].end 193.70534375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 193.70534375
transcript.pyannote[52].end 197.48534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 196.48971875
transcript.pyannote[53].end 202.66596875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 198.00846875
transcript.pyannote[54].end 198.70034375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 199.89846875
transcript.pyannote[55].end 201.24846875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 202.71659375
transcript.pyannote[56].end 205.61909375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 205.97346875
transcript.pyannote[57].end 207.13784375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 207.25596875
transcript.pyannote[58].end 207.57659375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 207.57659375
transcript.pyannote[59].end 208.52159375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 208.77471875
transcript.pyannote[60].end 211.35659375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 209.85471875
transcript.pyannote[61].end 211.18784375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 211.33971875
transcript.pyannote[62].end 213.26346875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 213.93846875
transcript.pyannote[63].end 215.22096875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 216.14909375
transcript.pyannote[64].end 218.17409375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 219.00096875
transcript.pyannote[65].end 224.04659375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 224.45159375
transcript.pyannote[66].end 237.61409375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 237.96846875
transcript.pyannote[67].end 239.14971875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 239.89221875
transcript.pyannote[68].end 247.13159375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 246.15284375
transcript.pyannote[69].end 252.05909375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 249.49409375
transcript.pyannote[70].end 254.89409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 254.20221875
transcript.pyannote[71].end 266.65596875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 259.12971875
transcript.pyannote[72].end 263.09534375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 265.94721875
transcript.pyannote[73].end 266.67284375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 266.67284375
transcript.pyannote[74].end 266.70659375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 266.70659375
transcript.pyannote[75].end 267.16221875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 267.43221875
transcript.pyannote[76].end 269.69346875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 270.30096875
transcript.pyannote[77].end 271.95471875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 273.15284375
transcript.pyannote[78].end 273.67596875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 275.07659375
transcript.pyannote[79].end 276.89909375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 278.28284375
transcript.pyannote[80].end 283.26096875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 283.56471875
transcript.pyannote[81].end 285.15096875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 286.31534375
transcript.pyannote[82].end 287.90159375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 287.98596875
transcript.pyannote[83].end 293.28471875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 293.92596875
transcript.pyannote[84].end 302.53221875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 298.95471875
transcript.pyannote[85].end 301.24971875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 301.95846875
transcript.pyannote[86].end 302.12721875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 302.65034375
transcript.pyannote[87].end 303.05534375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 304.21971875
transcript.pyannote[88].end 308.10096875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 308.80971875
transcript.pyannote[89].end 311.67846875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 312.55596875
transcript.pyannote[90].end 315.22221875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 315.79596875
transcript.pyannote[91].end 328.01346875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 328.35096875
transcript.pyannote[92].end 329.07659375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 329.29596875
transcript.pyannote[93].end 329.95409375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 330.89909375
transcript.pyannote[94].end 332.75534375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 333.61596875
transcript.pyannote[95].end 337.54784375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 337.83471875
transcript.pyannote[96].end 339.96096875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 340.58534375
transcript.pyannote[97].end 345.25971875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 345.46221875
transcript.pyannote[98].end 348.46596875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 349.12409375
transcript.pyannote[99].end 352.71846875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 353.29221875
transcript.pyannote[100].end 355.50284375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 356.46471875
transcript.pyannote[101].end 358.84409375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 359.63721875
transcript.pyannote[102].end 362.47221875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 362.59034375
transcript.pyannote[103].end 363.68721875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 364.07534375
transcript.pyannote[104].end 366.79221875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 367.33221875
transcript.pyannote[105].end 370.57221875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 371.34846875
transcript.pyannote[106].end 386.29971875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 378.53721875
transcript.pyannote[107].end 382.01346875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 386.95784375
transcript.pyannote[108].end 387.39659375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 388.27409375
transcript.pyannote[109].end 390.55221875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 391.31159375
transcript.pyannote[110].end 393.08346875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 393.84284375
transcript.pyannote[111].end 394.29846875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 394.43346875
transcript.pyannote[112].end 398.21346875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 398.58471875
transcript.pyannote[113].end 403.86659375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 404.49096875
transcript.pyannote[114].end 405.60471875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 406.22909375
transcript.pyannote[115].end 407.84909375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 409.43534375
transcript.pyannote[116].end 412.67534375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 412.92846875
transcript.pyannote[117].end 414.41346875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 414.97034375
transcript.pyannote[118].end 416.50596875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 416.74221875
transcript.pyannote[119].end 427.59284375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 428.06534375
transcript.pyannote[120].end 435.55784375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 435.81096875
transcript.pyannote[121].end 438.22409375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 438.89909375
transcript.pyannote[122].end 442.74659375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 443.30346875
transcript.pyannote[123].end 444.99096875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 445.46346875
transcript.pyannote[124].end 448.75409375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 449.00721875
transcript.pyannote[125].end 451.09971875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 451.82534375
transcript.pyannote[126].end 456.41534375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 457.02284375
transcript.pyannote[127].end 461.79846875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 462.40596875
transcript.pyannote[128].end 464.90346875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 465.59534375
transcript.pyannote[129].end 466.87784375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 467.38409375
transcript.pyannote[130].end 469.32471875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 468.09284375
transcript.pyannote[131].end 469.99971875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 470.32034375
transcript.pyannote[132].end 472.19346875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 473.84721875
transcript.pyannote[133].end 474.40409375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 475.58534375
transcript.pyannote[134].end 476.24346875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 476.81721875
transcript.pyannote[135].end 477.50909375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 477.77909375
transcript.pyannote[136].end 481.64346875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 482.77409375
transcript.pyannote[137].end 488.74784375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 488.86596875
transcript.pyannote[138].end 491.58284375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 492.08909375
transcript.pyannote[139].end 493.40534375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 493.70909375
transcript.pyannote[140].end 495.29534375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 496.71284375
transcript.pyannote[141].end 498.60284375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 499.09221875
transcript.pyannote[142].end 504.49221875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 505.03221875
transcript.pyannote[143].end 506.68596875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 507.34409375
transcript.pyannote[144].end 508.54221875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 509.65596875
transcript.pyannote[145].end 511.00596875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 511.44471875
transcript.pyannote[146].end 512.62596875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 513.38534375
transcript.pyannote[147].end 516.33846875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 517.08096875
transcript.pyannote[148].end 522.46409375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 522.85221875
transcript.pyannote[149].end 526.96971875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 527.10471875
transcript.pyannote[150].end 529.60221875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 530.37846875
transcript.pyannote[151].end 534.04034375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 534.46221875
transcript.pyannote[152].end 538.37721875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 538.73159375
transcript.pyannote[153].end 542.37659375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 543.23721875
transcript.pyannote[154].end 544.03034375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 544.14846875
transcript.pyannote[155].end 544.60409375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 545.02596875
transcript.pyannote[156].end 545.76846875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 546.27471875
transcript.pyannote[157].end 547.35471875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 547.87784375
transcript.pyannote[158].end 549.76784375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 550.45971875
transcript.pyannote[159].end 550.86471875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 551.21909375
transcript.pyannote[160].end 554.10471875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 554.34096875
transcript.pyannote[161].end 556.01159375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 556.51784375
transcript.pyannote[162].end 558.12096875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 558.54284375
transcript.pyannote[163].end 560.28096875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 560.50034375
transcript.pyannote[164].end 561.17534375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 561.71534375
transcript.pyannote[165].end 564.55034375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 565.03971875
transcript.pyannote[166].end 566.89596875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 566.33909375
transcript.pyannote[167].end 566.81159375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 566.89596875
transcript.pyannote[168].end 566.91284375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 566.91284375
transcript.pyannote[169].end 567.03096875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 567.03096875
transcript.pyannote[170].end 567.08159375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 567.08159375
transcript.pyannote[171].end 567.23346875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 567.23346875
transcript.pyannote[172].end 574.91159375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 571.97534375
transcript.pyannote[173].end 576.63284375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 577.15596875
transcript.pyannote[174].end 584.63159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 582.26909375
transcript.pyannote[175].end 596.79846875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 597.40596875
transcript.pyannote[176].end 600.27471875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 601.03409375
transcript.pyannote[177].end 606.14721875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 606.61971875
transcript.pyannote[178].end 607.14284375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 607.75034375
transcript.pyannote[179].end 612.30659375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 612.54284375
transcript.pyannote[180].end 613.15034375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 616.28909375
transcript.pyannote[181].end 618.09471875
transcript.whisperx[0].start 9.195
transcript.whisperx[0].end 14.779
transcript.whisperx[0].text 主席好首先有請紅胸肌部王部長我們再請王部長
transcript.whisperx[1].start 21.035
transcript.whisperx[1].end 43.7
transcript.whisperx[1].text 委員好 王部長好剛剛邱志偉講我們離岸婚禮的國產化我記得在沈中興部長的時候我理智都提出來那邱志偉委員講的話是一個很切實的事情56隻只有6隻在台灣做我當時都有提出來你們說不會啦我們怎麼樣現在連訂單都不發給我們國產的產商
transcript.whisperx[2].start 49.702
transcript.whisperx[2].end 55.95
transcript.whisperx[2].text 剛剛出座的時候北部那一家的實力政商關係非常好我只跟部長提醒一件事情
transcript.whisperx[3].start 57.801
transcript.whisperx[3].end 81.502
transcript.whisperx[3].text 當時為了離岸風力我們要趕快去完成五十六隻、六隻在台灣慢慢磨其他的都在韓國湊因為渥西有在韓國有設工廠啊到最後沒有辦法大家就迷迷糊糊這樣過去我們都一清二楚講了你們也不聽以後我們再批評你其實他講的完全是對要注意這樣的一個現象
transcript.whisperx[4].start 83.203
transcript.whisperx[4].end 102.393
transcript.whisperx[4].text 因為很多的業界反映出來國產化機械設備下來買肉你們不下定餐你們被那種大財團被外國人把台灣當作殖民地的公司這樣你難得好過關於講了好幾次我希望調查我們也會去了解好不好
transcript.whisperx[5].start 102.912
transcript.whisperx[5].end 104.852
transcript.whisperx[5].text 今天委員會主要是討論我們台電電價調漲對產業、民生等衝擊配套的一個措施在
transcript.whisperx[6].start 133.223
transcript.whisperx[6].end 144.25
transcript.whisperx[6].text 我看過你們的報告你們只要講國際燃料價格飆漲是台電虧損的主要原因這台電你又談到二五戰爭以後台電過敏從2020年64塊美元到2020年276美元漲了3倍中油的那個
transcript.whisperx[7].start 159.776
transcript.whisperx[7].end 188.81
transcript.whisperx[7].text 那個天然氣每立方由8塊錢漲到16塊錢漲了一倍啊所以裡面2023年國際燃料價格雖然有回穩但是遲於高檔回穩跟高檔你跟我解釋一下回穩是回到以前的樣子還是說我在高檔董事長會給我一個介紹因為打來打去打到現在大家沒有人去啊
transcript.whisperx[8].start 189.974
transcript.whisperx[8].end 192.116
transcript.whisperx[8].text 我第一個要檢討台電的人才都很優秀
transcript.whisperx[9].start 219.082
transcript.whisperx[9].end 238.953
transcript.whisperx[9].text 你們台電購買都是長期合約,怎麼這現在突然漲了3倍啊?哇媽,去掉太雄啊,你也要去捏果魚蝦!我們是長期合約的夥伴,啊中油也是一樣!長期購買那幾個地方幾個地方,把你氣到管你不會跳啊!任人宰割啊!
transcript.whisperx[10].start 239.953
transcript.whisperx[10].end 242.434
transcript.whisperx[10].text 跟委員報告齁,那個是平均價在2022的時候齁,那個現貨曾經漲到400多塊但是因為我們產業價跟現貨有一定的比例啦你用現貨價來比,啊你產業價也要降下來嘛有有,就是因為有產業價才200多塊是
transcript.whisperx[11].start 267.521
transcript.whisperx[11].end 284.172
transcript.whisperx[11].text 你們說兩年虧錢的六千億好,我算賬給你們聽第一個我們一千五百億的補貼公務預算五百億的特別預算現在你增資又一千億加起來兩千
transcript.whisperx[12].start 286.343
transcript.whisperx[12].end 287.544
transcript.whisperx[12].text 你2022年你電價調了8%你說大概會增加300億的收入
transcript.whisperx[13].start 312.594
transcript.whisperx[13].end 319.478
transcript.whisperx[13].text 2023年又調了11%.你們報告會增加600億的收入.加加押才要多少錢.這樣加押給你到4千6千億減這個政府補貼.還有定位調價的上場.1千億這樣起來您現在才虧損兩千億
transcript.whisperx[14].start 333.68
transcript.whisperx[14].end 353.733
transcript.whisperx[14].text 阿兩千要來得你講齁那個再生能源佔了九百億這裡面如果依照你們收價的成本大概你多付出了四百億這來得你說阿只佔了沒有什麼影響所謂的價包括民間的電廠在這裡面現在你給他兩千要給虧損喔
transcript.whisperx[15].start 356.516
transcript.whisperx[15].end 384.475
transcript.whisperx[15].text 政府補貼3千億兩次電價的上漲將近1千億除了2千億所以我不知道你這個小安若生那你這個小波塊董事長我很尊敬你尤其你跟我講說跑到我好望角去剛剛發生火災我曉得除了大概只差你兩個小時你對我的承諾好你有機智我會很感謝你但是這樣一帳一帳歸一帳來算啊
transcript.whisperx[16].start 387.037
transcript.whisperx[16].end 407.555
transcript.whisperx[16].text 所以你現在這個小破怪是什麼替蔡英文總統匯合政策辯論其實很多錯誤在這邊你是現在我們未來新任的賴清晨總清理戰場拿出來實際算下來你們在包括
transcript.whisperx[17].start 409.485
transcript.whisperx[17].end 433.953
transcript.whisperx[17].text 再生能源大概你們兩年多買了一千億剩下只有一千億所以現在要跟你說能源政策調不適用我給你算一算不是你虧錢國家補貼你說為了穩定民生物價你當小破塊我看不是你是當蔡英文總統的小破塊當未來賴清德的總統清理戰鬥團的小破塊所以說來給你補貼吧
transcript.whisperx[18].start 438.954
transcript.whisperx[18].end 461.299
transcript.whisperx[18].text 你現在要漲當然要有合理漲的一個程度但是這個都很浮動你幾十年沒在說我核能證會有絕對不會漲價跟今天一個高了一個段落蔡英文總統也要下台了好啦都是你給我們不漲我先把責任歸給他替他得錢得錢得錢這個報告裡面你們財務的問題
transcript.whisperx[19].start 466.04
transcript.whisperx[19].end 486.594
transcript.whisperx[19].text 補貼了三千億還有你電價漲價了大概又增加了一千億兩千億兩千億再生能源大概兩年的話一千億多的支出大概只剩下一千億還講得很子逆道德我說為了什麼穩定物價
transcript.whisperx[20].start 496.952
transcript.whisperx[20].end 507.877
transcript.whisperx[20].text 我來看一下你寫的原來反應成本、照顧民生、穩定物價、節能減碳、使用者互惠我可以講十多大句現在你電價
transcript.whisperx[21].start 509.69
transcript.whisperx[21].end 529.357
transcript.whisperx[21].text 你天然劑要不要漲?你水要不要漲?那天我看高金素美在質詢我們的陳院長的時候他說三次漲價還講到馬英九馬英九總統就是漲價讓國民黨都整個落選現在你們清理戰場用這一套
transcript.whisperx[22].start 530.421
transcript.whisperx[22].end 532.905
transcript.whisperx[22].text 你們現在頂多只負債一千億而已啊!
transcript.whisperx[23].start 543.254
transcript.whisperx[23].end 547.939
transcript.whisperx[23].text 你2022年漲價8%增加400億2023年電費漲價、成本漲價600億你們自己寫的不會預計收入
transcript.whisperx[24].start 565.36
transcript.whisperx[24].end 574.905
transcript.whisperx[24].text 那個跟委員報告那個增資的2500億不是補貼啦這個要跟您報告這個在虧損上面他沒有辦法打累虧我們現在如果是照委員的講法你看我們現在就是累虧3000多億對不對
transcript.whisperx[25].start 582.469
transcript.whisperx[25].end 600.189
transcript.whisperx[25].text 你累計3000多月我現在算一月就這賬面成本你有兩次漲價大概你們台電多收了一千億因為台電人生財太好每一個人太牡蠣你們被政策所迫害的啦所以你們都苦不堪言大家不要講話而已啊
transcript.whisperx[26].start 601.07
transcript.whisperx[26].end 611.778
transcript.whisperx[26].text 我是跟你講的老實話我這個選民生產你就知道到底虧損多少好不好因為你一直急著要來我這邊叫我朝廷我要說什麼說好 謝謝 謝謝謝謝 接下來我們請賴瑞榮