IVOD_ID |
150484 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/150484 |
日期 |
2024-03-27 |
會議資料.會議代碼 |
委員會-11-1-20-5 |
會議資料.會議代碼:str |
第11屆第1會期財政委員會第5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 |
5 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第1會期財政委員會第5次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-03-27T10:54:58+08:00 |
結束時間 |
2024-03-27T11:07:56+08:00 |
影片長度 |
00:12:58 |
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/9baf490faf5eb4d575d615884295a0d3edc5a8dea5ca6478f8ba9b0039caa7a63086669c64c83a245ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王鴻薇 |
委員發言時間 |
10:54:58 - 11:07:56 |
會議時間 |
2024-03-27T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期財政委員會第5次全體委員會議(事由:邀請行政院主計總處朱主計長澤民、中央銀行楊總裁金龍、經濟部率台灣電力股份有限公司就電價大漲及央行升息對物價波動的影響進行專題報告,並備質詢。
【3月25日及27日二天一次會】) |
gazette.lineno |
729 |
gazette.blocks[0][0] |
王委員鴻薇:(10時55分)謝謝主席。我先請經濟部曾次長。 |
gazette.blocks[1][0] |
主席:請曾次長。 |
gazette.blocks[2][0] |
曾次長文生:委員早安。 |
gazette.blocks[3][0] |
王委員鴻薇:次長,你們今天的報告還在寫調整電價是因為國際燃料價格飆漲是台電虧損的主因。錯!大錯特錯!我在總質詢的時候已經清清楚楚地把最近這幾年國際能源價格的趨勢非常清楚地列出來了,事實上,現在國際能源價格,包含石油也好、煤也好、天然氣也好,都已經跌回俄烏戰爭發生之前的價位了,所以你們還在講國際燃料價格飆漲,這根本就是假訊息!你們到底在掩飾些什麼呢?台電的虧損是單純的因為能源價格提升嗎?難道不是綠能賺大錢嗎?雲豹賺大錢嗎?還在騙!國際能源價格早就都已經跌下來了,然後你們還在騙說現在要漲價是因為國際能源價格大幅提升。 |
gazette.blocks[3][1] |
再來,你們這兩天不停地在帶風向,來看一下,這是奇圖共欣賞。之前你們說採用時間電價可以省錢,後來網路上有人說這笑死人了,是要讓我們半夜烤麵包嗎?然後你們又再繼續做梗圖,繼續講幹話,說白天烤也可以年省破4萬。次長,請問一下這是什麼神邏輯?如果漲電價還讓你可以省4萬,那你繼續漲啊!漲20%、30%可以省更多啊!這到底是什麼神邏輯?我都不曉得你們經濟部花多少錢在養這些公關公司,幫你們做這些梗圖來欺騙老百姓,把人民當笨蛋嗎?漲價還可以省錢喔,那你早就該漲了啊!天天漲價,我們天天省錢,有這樣的神邏輯嗎?請問一下你們為什麼不好好的去傾聽、瞭解,不管是產業的聲音或者是民眾的聲音,然後真的要讓大家的荷包要破費,真的物價會上升,就要承認嘛!我們有太多的假數字了,待會我還要指出主計處在做假數據,為了掩飾太平,你們可以做假訊息,你們可以做假的梗圖,你們可以做假的統計數字,實在很離譜欸! |
gazette.blocks[3][2] |
4月1號要漲電價,反正你們是鐵了心要漲電價,現在立法院裡面的在野黨都提出要凍漲電價,因為現在各行各業,比如剛才伍麗華委員說農業能不能凍漲,你說凍漲,可是現在醫院也要凍漲啊,醫院凍漲了嗎?還沒有喔,對不對?大眾運輸系統也苦哈哈啊,然後每一年在漲,每一年都是自行吸收,說能不能凍漲?可以凍漲嗎?你們也沒有給人家凍漲啊!所以次長,經濟部在漲電價的同時應該要跟老百姓老實說到底問題出在哪裡?你告訴我們是國際能源價格上漲,主計處還幫你們做了世界各國的電價比較,歐元區現在都負成長,沒有錯,在俄烏戰爭的時候確實大幅上漲,有反映國際能源價格,可是價格跌下來之後,他們也開始往下修了啊!我們為什麼不漲?當時為什麼不漲?因為選舉嘛,不敢漲啊,只敢漲一些工業大戶。 |
gazette.blocks[3][3] |
好,我們再來看下一頁,我們現在的問題喔,因為電價上漲所波及的族群已經非常多了,你現在到網路上要去租屋,房東開出來的電費通通都是6塊錢,有的甚至是7塊錢,在之前是5塊錢,為什麼呢?就是因為4月1號要漲電價了,所以你現在去租屋網看,1度電的電價統統都已經是6塊錢,它一定隨之上漲。為什麼我們今天召開這個專案報告?是要告訴你們,各行各業統統都會受影響,不要告訴我們這種幹話,說你不用半夜烤麵包,你還可以省4萬,這麼好康的事情,這不是奇蹟嗎?綠色奇蹟實在太多了!我真的第一次聽說給人家漲電價,還說人家可以省錢啊!好,時間暫停一下,我請主計長。 |
gazette.blocks[4][0] |
主席:請朱主計長。 |
gazette.blocks[5][0] |
王委員鴻薇:我也請央行總裁。 |
gazette.blocks[6][0] |
主席:請楊總裁。 |
gazette.blocks[7][0] |
王委員鴻薇:主計長,剛才你對其他委員的回答,我都聽不下去!我本來還很尊敬你的專業,你們現在為了粉飾太平,竟然講我們現在是和緩地,和緩在哪裡?和緩在哪裡?蚵仔煎已經要漲價了,因為蛋價要上漲,我們現在是說食物類,高鐵說他們不敢漲票價,因為可能交通部壓著它。事實上,我告訴你一個訊息,高鐵內部已經在計算了,因為剔除電價,今年電價上漲,消費物價已經超過5%,他們已經達到可以漲票價的門檻,高鐵也有票價公式,他們準備要報董事會,高鐵也許會被交通部壓著不漲票價,可是我告訴你,4月1日高鐵的便當已經漲價了,高鐵的便當漲價,你認為民間其他的便當不會漲價嗎?還告訴我和緩,到底和緩在哪裡? |
gazette.blocks[7][1] |
好,再來看,雙北「265家醫院漲掛號費」,準備要漲掛號費,網暴動酸:選對的人,所以我剛才也講,因為現在醫院、診所統統都在請命啊!別說你今天烤麵包可以選時間,我請問你,醫院開刀動手術可以選時間嗎?你告訴他選對的時間來開刀,選對的時間來動手術,是不是笑死人?所以醫院也撐不住了。 |
gazette.blocks[7][2] |
不要再做這種擺爛的梗圖了,就是笑話嘛!你們做一次梗圖,人家就來洗你一次版啊!你們做一點正經事,所以主計長,萬物一定會齊漲。 |
gazette.blocks[8][0] |
朱主計長澤民:跟委員報告…… |
gazette.blocks[9][0] |
王委員鴻薇:過去我們臺灣有兩種價格上漲的時候絕對會影響物價,一個是油價,一個就是電價,這不是顯而易見的嗎?你是第一天當主計長嗎? |
gazette.blocks[9][1] |
我再請問一下,今天的報告我也是大開眼界了,過去兩年的CPI我們都知道了,今年的CPI,主計處的報告第6頁,預測今年的CPI將上漲2.03%,我跟你打賭啦!2.03%這麼低哦?來,中央銀行的報告第3頁,央行上修今年的CPI到2.16%,央行略高一些,你們才2.03%,請問我聽哪一個的?我也不知道要聽哪一個的,事實上我認為你們統統都是低估了!統統都是低估了,你們在來報告之前,你們兩個不認識嗎?總裁跟主計長,這兩個到底哪一個才是對的我不知道,但是我時間很有限,我還要再請命。 |
gazette.blocks[9][2] |
看下一頁。中央銀行的調息,我知道,因為中央銀行最怕物價上漲,所以調息是一個預防性的,打預防針,老實說,這也跟全世界的趨勢不一樣。我們之前也都是在漲,利息都升息,但是我們升息完,現在全世界事實上都是往降息的方向,至少沒有升息,美國也是一樣,我們為什麼升息?就是因應現在電價會大幅上漲,可是當你升息之後,很多的貸款,比如說青安貸款,這個是政府有補貼,可是因為郵局升息,現在公教人員的房貸隨之上漲,因為它是跟著郵局來連動的,所以公教的房貸也上漲。 |
gazette.blocks[9][3] |
我現在就要為公教人員請命,今年給他加薪4%,結果物價上漲、電價上漲、房貸上漲,再加上未來可能什麼健保費、掛號費等等,這4%被吃得光光的,所以我要讓相關的部會知道,在這一次電價調漲,我們面臨一個什麼樣艱難的局面。老百姓非常艱難,不管你是租屋族,你是房貸族,你是外食族,絕對都會漲價嘛!不要告訴我們這些沒有問題、很和緩,民生用電沒有影響,沒有影響你不要漲嘛!就沒影響啦! |
gazette.blocks[9][4] |
我真的非常生氣,台電的虧損不就是來自於我們錯誤的能源政策嗎?次長,你應該心知肚明啊!台電虧損累累,結果綠能賺大錢啊!綠能不是都在賺大錢嗎?現在台電對外購電的成本多少?便宜的核電你們不用嘛!讓它繼續除役啊!電價上漲是必然的趨勢,更何況我們去年補台電1,000億,今年還補台電1,000億耶!我們納稅人是怎樣?欠台電、欠那些綠能了嗎?如果真的因為國際能源上漲,好,我們也就認了,結果不是啊!國際能源上漲的部分,已經用我們納稅人的錢、用超徵稅收去彌補它了嘛!連續兩年彌補還不夠,還要漲!所以我要講的是,現在你們鐵了心要漲電價,但是這個惡果是由全民來負擔,我覺得更可惡的是,你們不要嘴巴上雲淡風輕,說這個沒有事,當然有事!然後謊言一大堆! |
gazette.blocks[9][5] |
主計長,我本來很尊重主計處,我以前就覺得我們有幾個地方是絕對不能作假的,包含主計處,包含中央銀行,因為你們一定要超然,你們一定要獨立,如果你們都不能超然獨立的話,那麼這整個政府是沒有人在說真話的,好不好? |
gazette.blocks[10][0] |
主席:休息10分鐘。 |
gazette.blocks[10][1] |
休息(11時7分) |
gazette.blocks[10][2] |
繼續開會(11時18分) |
gazette.blocks[11][0] |
主席:繼續開會。 |
gazette.blocks[11][1] |
下一位請李坤城委員質詢。 |
gazette.agenda.page_end |
370 |
gazette.agenda.meet_id |
委員會-11-1-20-5 |
gazette.agenda.speakers[0] |
羅明才 |
gazette.agenda.speakers[1] |
吳秉叡 |
gazette.agenda.speakers[2] |
林德福 |
gazette.agenda.speakers[3] |
賴士葆 |
gazette.agenda.speakers[4] |
李彥秀 |
gazette.agenda.speakers[5] |
郭國文 |
gazette.agenda.speakers[6] |
賴惠員 |
gazette.agenda.speakers[7] |
伍麗華Saidhai‧Tahovecahe |
gazette.agenda.speakers[8] |
王鴻薇 |
gazette.agenda.speakers[9] |
李坤城 |
gazette.agenda.speakers[10] |
黃珊珊 |
gazette.agenda.speakers[11] |
王世堅 |
gazette.agenda.speakers[12] |
鄭天財Sra Kacaw |
gazette.agenda.speakers[13] |
羅智強 |
gazette.agenda.speakers[14] |
楊瓊瓔 |
gazette.agenda.speakers[15] |
牛煦庭 |
gazette.agenda.speakers[16] |
黃國昌 |
gazette.agenda.speakers[17] |
顏寬恒 |
gazette.agenda.speakers[18] |
陳玉珍 |
gazette.agenda.speakers[19] |
徐巧芯 |
gazette.agenda.speakers[20] |
吳春城 |
gazette.agenda.speakers[21] |
葉元之 |
gazette.agenda.page_start |
299 |
gazette.agenda.meetingDate[0] |
2024-03-27 |
gazette.agenda.gazette_id |
1132001 |
gazette.agenda.agenda_lcidc_ids[0] |
1132001_00010 |
gazette.agenda.meet_name |
立法院第11屆第1會期財政委員會第5次全體委員會議紀錄 |
gazette.agenda.content |
邀請行政院主計總處朱主計長澤民、中央銀行楊總裁金龍、經濟部率台灣電力股份有限公司就電
價大漲及央行升息對物價波動的影響進行專題報告,並備質詢 |
gazette.agenda.agenda_id |
1132001_00019 |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
3.82784375 |
transcript.pyannote[0].end |
5.85284375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
6.69659375 |
transcript.pyannote[1].end |
7.38846875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
7.75971875 |
transcript.pyannote[2].end |
8.28284375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
8.46846875 |
transcript.pyannote[3].end |
9.37971875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
8.82284375 |
transcript.pyannote[4].end |
9.09284375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
15.87659375 |
transcript.pyannote[5].end |
16.61909375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
16.82159375 |
transcript.pyannote[6].end |
17.26034375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
17.86784375 |
transcript.pyannote[7].end |
19.57221875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
19.89284375 |
transcript.pyannote[8].end |
26.74409375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
27.01409375 |
transcript.pyannote[9].end |
45.45846875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
45.81284375 |
transcript.pyannote[10].end |
53.59221875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
54.21659375 |
transcript.pyannote[11].end |
57.81096875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
58.09784375 |
transcript.pyannote[12].end |
60.88221875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
61.79346875 |
transcript.pyannote[13].end |
62.67096875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
63.37971875 |
transcript.pyannote[14].end |
64.81409375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
65.28659375 |
transcript.pyannote[15].end |
66.56909375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
66.94034375 |
transcript.pyannote[16].end |
70.65284375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
70.97346875 |
transcript.pyannote[17].end |
75.42846875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
75.78284375 |
transcript.pyannote[18].end |
76.71096875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
77.55471875 |
transcript.pyannote[19].end |
80.06909375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
80.64284375 |
transcript.pyannote[20].end |
84.10221875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
84.84471875 |
transcript.pyannote[21].end |
85.38471875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
85.99221875 |
transcript.pyannote[22].end |
87.22409375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
87.71346875 |
transcript.pyannote[23].end |
88.45596875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
88.84409375 |
transcript.pyannote[24].end |
89.77221875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
91.47659375 |
transcript.pyannote[25].end |
92.26971875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
92.91096875 |
transcript.pyannote[26].end |
94.76721875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
95.76284375 |
transcript.pyannote[27].end |
97.06221875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
97.26471875 |
transcript.pyannote[28].end |
99.23909375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
99.86346875 |
transcript.pyannote[29].end |
100.92659375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
102.22596875 |
transcript.pyannote[30].end |
103.08659375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
103.72784375 |
transcript.pyannote[31].end |
109.02659375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
110.00534375 |
transcript.pyannote[32].end |
113.95409375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
114.34221875 |
transcript.pyannote[33].end |
117.48096875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
119.05034375 |
transcript.pyannote[34].end |
119.60721875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
119.99534375 |
transcript.pyannote[35].end |
122.64471875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
123.33659375 |
transcript.pyannote[36].end |
126.93096875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
128.26409375 |
transcript.pyannote[37].end |
133.02284375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
133.69784375 |
transcript.pyannote[38].end |
142.47284375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
143.60346875 |
transcript.pyannote[39].end |
144.95346875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
145.35846875 |
transcript.pyannote[40].end |
146.80971875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
147.83909375 |
transcript.pyannote[41].end |
148.22721875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
148.34534375 |
transcript.pyannote[42].end |
153.23909375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
154.58909375 |
transcript.pyannote[43].end |
163.09409375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
163.71846875 |
transcript.pyannote[44].end |
168.27471875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
168.59534375 |
transcript.pyannote[45].end |
170.33346875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
170.99159375 |
transcript.pyannote[46].end |
172.02096875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
173.11784375 |
transcript.pyannote[47].end |
177.15096875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
178.55159375 |
transcript.pyannote[48].end |
180.62721875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
181.65659375 |
transcript.pyannote[49].end |
186.41534375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
186.90471875 |
transcript.pyannote[50].end |
188.37284375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
188.91284375 |
transcript.pyannote[51].end |
190.21221875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
192.01784375 |
transcript.pyannote[52].end |
192.54096875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
193.28346875 |
transcript.pyannote[53].end |
218.03909375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
218.37659375 |
transcript.pyannote[54].end |
225.64971875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
226.71284375 |
transcript.pyannote[55].end |
232.18034375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
232.34909375 |
transcript.pyannote[56].end |
235.20096875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
236.58471875 |
transcript.pyannote[57].end |
238.81221875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
239.85846875 |
transcript.pyannote[58].end |
241.29284375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
241.63034375 |
transcript.pyannote[59].end |
245.61284375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
246.77721875 |
transcript.pyannote[60].end |
249.15659375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
249.49409375 |
transcript.pyannote[61].end |
253.07159375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
253.45971875 |
transcript.pyannote[62].end |
259.23096875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
260.00721875 |
transcript.pyannote[63].end |
263.38221875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
263.97284375 |
transcript.pyannote[64].end |
265.10346875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
265.60971875 |
transcript.pyannote[65].end |
267.48284375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
268.07346875 |
transcript.pyannote[66].end |
269.32221875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
269.60909375 |
transcript.pyannote[67].end |
270.21659375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
271.41471875 |
transcript.pyannote[68].end |
272.79846875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
273.84471875 |
transcript.pyannote[69].end |
277.05096875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
278.06346875 |
transcript.pyannote[70].end |
288.77909375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
290.01096875 |
transcript.pyannote[71].end |
300.62534375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
301.36784375 |
transcript.pyannote[72].end |
302.76846875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
303.17346875 |
transcript.pyannote[73].end |
303.94971875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
304.11846875 |
transcript.pyannote[74].end |
314.17596875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
315.10409375 |
transcript.pyannote[75].end |
315.71159375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
315.84659375 |
transcript.pyannote[76].end |
317.02784375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
317.36534375 |
transcript.pyannote[77].end |
318.76596875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
318.81659375 |
transcript.pyannote[78].end |
320.16659375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
321.60096875 |
transcript.pyannote[79].end |
323.87909375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
324.92534375 |
transcript.pyannote[80].end |
327.97971875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
328.68846875 |
transcript.pyannote[81].end |
330.49409375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
330.52784375 |
transcript.pyannote[82].end |
332.90721875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
333.56534375 |
transcript.pyannote[83].end |
334.52721875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
336.87284375 |
transcript.pyannote[84].end |
338.39159375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
338.86409375 |
transcript.pyannote[85].end |
339.82596875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
340.56846875 |
transcript.pyannote[86].end |
341.73284375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
342.72846875 |
transcript.pyannote[87].end |
343.35284375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
343.65659375 |
transcript.pyannote[88].end |
344.46659375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
345.17534375 |
transcript.pyannote[89].end |
346.06971875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
356.04284375 |
transcript.pyannote[90].end |
356.81909375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
357.89909375 |
transcript.pyannote[91].end |
360.02534375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
360.59909375 |
transcript.pyannote[92].end |
362.65784375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
364.29471875 |
transcript.pyannote[93].end |
365.94846875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
366.58971875 |
transcript.pyannote[94].end |
369.10409375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
369.42471875 |
transcript.pyannote[95].end |
370.77471875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
370.97721875 |
transcript.pyannote[96].end |
372.05721875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
372.58034375 |
transcript.pyannote[97].end |
373.60971875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
375.44909375 |
transcript.pyannote[98].end |
375.95534375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
376.42784375 |
transcript.pyannote[99].end |
377.27159375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
377.71034375 |
transcript.pyannote[100].end |
378.67221875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
379.98846875 |
transcript.pyannote[101].end |
380.44409375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
380.86596875 |
transcript.pyannote[102].end |
382.16534375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
382.63784375 |
transcript.pyannote[103].end |
383.39721875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
383.80221875 |
transcript.pyannote[104].end |
393.62346875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
394.14659375 |
transcript.pyannote[105].end |
394.72034375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
395.32784375 |
transcript.pyannote[106].end |
403.44471875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
403.73159375 |
transcript.pyannote[107].end |
405.84096875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
406.36409375 |
transcript.pyannote[108].end |
408.00096875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
408.52409375 |
transcript.pyannote[109].end |
413.13096875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
413.24909375 |
transcript.pyannote[110].end |
415.02096875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
416.11784375 |
transcript.pyannote[111].end |
421.11284375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
421.53471875 |
transcript.pyannote[112].end |
424.50471875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
424.70721875 |
transcript.pyannote[113].end |
425.60159375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
426.95159375 |
transcript.pyannote[114].end |
432.23346875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
432.72284375 |
transcript.pyannote[115].end |
434.62971875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
435.23721875 |
transcript.pyannote[116].end |
436.31721875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
437.00909375 |
transcript.pyannote[117].end |
440.35034375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
441.02534375 |
transcript.pyannote[118].end |
447.30284375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
448.12971875 |
transcript.pyannote[119].end |
449.02409375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
449.26034375 |
transcript.pyannote[120].end |
452.88846875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
453.56346875 |
transcript.pyannote[121].end |
454.57596875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
455.31846875 |
transcript.pyannote[122].end |
457.09034375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
458.74409375 |
transcript.pyannote[123].end |
459.80721875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
460.56659375 |
transcript.pyannote[124].end |
461.81534375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
462.84471875 |
transcript.pyannote[125].end |
466.50659375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
467.41784375 |
transcript.pyannote[126].end |
469.25721875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
469.42596875 |
transcript.pyannote[127].end |
470.80971875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
471.73784375 |
transcript.pyannote[128].end |
472.59846875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
472.76721875 |
transcript.pyannote[129].end |
474.25221875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
474.62346875 |
transcript.pyannote[130].end |
483.95534375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
475.07909375 |
transcript.pyannote[131].end |
475.65284375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
484.81596875 |
transcript.pyannote[132].end |
491.34659375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
492.56159375 |
transcript.pyannote[133].end |
493.27034375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
493.40534375 |
transcript.pyannote[134].end |
493.81034375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
494.28284375 |
transcript.pyannote[135].end |
495.29534375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
495.56534375 |
transcript.pyannote[136].end |
496.93221875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
497.28659375 |
transcript.pyannote[137].end |
498.55221875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
499.68284375 |
transcript.pyannote[138].end |
503.66534375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
503.78346875 |
transcript.pyannote[139].end |
510.49971875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
510.73596875 |
transcript.pyannote[140].end |
511.20846875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
512.01846875 |
transcript.pyannote[141].end |
513.11534375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
513.57096875 |
transcript.pyannote[142].end |
515.14034375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
515.64659375 |
transcript.pyannote[143].end |
516.54096875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
517.78971875 |
transcript.pyannote[144].end |
522.73409375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
523.27409375 |
transcript.pyannote[145].end |
524.75909375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
525.55221875 |
transcript.pyannote[146].end |
527.54346875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
528.04971875 |
transcript.pyannote[147].end |
529.66971875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
530.22659375 |
transcript.pyannote[148].end |
534.95159375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
535.30596875 |
transcript.pyannote[149].end |
540.60471875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
540.92534375 |
transcript.pyannote[150].end |
542.74784375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
542.83221875 |
transcript.pyannote[151].end |
547.57409375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
548.13096875 |
transcript.pyannote[152].end |
548.62034375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
550.86471875 |
transcript.pyannote[153].end |
551.50596875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
552.09659375 |
transcript.pyannote[154].end |
554.32409375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
554.44221875 |
transcript.pyannote[155].end |
558.07034375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
558.50909375 |
transcript.pyannote[156].end |
561.73221875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
562.52534375 |
transcript.pyannote[157].end |
585.91409375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
586.58909375 |
transcript.pyannote[158].end |
587.07846875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
587.65221875 |
transcript.pyannote[159].end |
588.27659375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
588.81659375 |
transcript.pyannote[160].end |
595.21221875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
595.46534375 |
transcript.pyannote[161].end |
605.62409375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
606.29909375 |
transcript.pyannote[162].end |
610.29846875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
610.56846875 |
transcript.pyannote[163].end |
613.03221875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
613.53846875 |
transcript.pyannote[164].end |
614.38221875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
615.12471875 |
transcript.pyannote[165].end |
616.10346875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
616.50846875 |
transcript.pyannote[166].end |
617.65596875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
617.97659375 |
transcript.pyannote[167].end |
624.77721875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
625.08096875 |
transcript.pyannote[168].end |
627.71346875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
628.79346875 |
transcript.pyannote[169].end |
633.68721875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
634.12596875 |
transcript.pyannote[170].end |
641.46659375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
641.97284375 |
transcript.pyannote[171].end |
647.40659375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
648.26721875 |
transcript.pyannote[172].end |
658.32471875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
658.91534375 |
transcript.pyannote[173].end |
659.97846875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
662.45909375 |
transcript.pyannote[174].end |
663.80909375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
664.58534375 |
transcript.pyannote[175].end |
666.13784375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
667.20096875 |
transcript.pyannote[176].end |
669.64784375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
670.89659375 |
transcript.pyannote[177].end |
672.49971875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
673.96784375 |
transcript.pyannote[178].end |
674.62596875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
675.08159375 |
transcript.pyannote[179].end |
676.71846875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
676.93784375 |
transcript.pyannote[180].end |
678.69284375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
679.75596875 |
transcript.pyannote[181].end |
681.59534375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
682.52346875 |
transcript.pyannote[182].end |
684.16034375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
684.93659375 |
transcript.pyannote[183].end |
687.16409375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
688.24409375 |
transcript.pyannote[184].end |
689.94846875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
690.67409375 |
transcript.pyannote[185].end |
692.91846875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
693.39096875 |
transcript.pyannote[186].end |
699.88784375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
700.51221875 |
transcript.pyannote[187].end |
703.71846875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
705.13596875 |
transcript.pyannote[188].end |
711.32909375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
711.76784375 |
transcript.pyannote[189].end |
717.72471875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
719.44596875 |
transcript.pyannote[190].end |
721.38659375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
721.67346875 |
transcript.pyannote[191].end |
722.44971875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
725.21721875 |
transcript.pyannote[192].end |
726.48284375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
727.02284375 |
transcript.pyannote[193].end |
734.39721875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
734.81909375 |
transcript.pyannote[194].end |
739.93221875 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
740.20221875 |
transcript.pyannote[195].end |
753.12846875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
753.34784375 |
transcript.pyannote[196].end |
759.97971875 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
760.70534375 |
transcript.pyannote[197].end |
763.64159375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
763.97909375 |
transcript.pyannote[198].end |
764.41784375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
767.53971875 |
transcript.pyannote[199].end |
769.59846875 |
transcript.whisperx[0].start |
3.874 |
transcript.whisperx[0].end |
8.694 |
transcript.whisperx[0].text |
好謝謝主席我先請經濟部次長曾次長 |
transcript.whisperx[1].start |
16.885 |
transcript.whisperx[1].end |
45.159 |
transcript.whisperx[1].text |
市長你們今天的報告還在寫為什麼要調整電價是因為國際燃料價格飆漲是台電虧損的主因錯大錯特錯我在總諮詢的時候已經清清楚楚的把最近這幾年國際的這些能源價格的趨勢非常清楚的列出來事實上現在國際能源價格包含石油也好 |
transcript.whisperx[2].start |
45.879 |
transcript.whisperx[2].end |
60.173 |
transcript.whisperx[2].text |
或者煤也好天然氣也好都已經跌回二屋戰爭發生之前的一個價位了所以你們還在講說是國際燃料價格飆漲這根本就是假訊息 |
transcript.whisperx[3].start |
61.857 |
transcript.whisperx[3].end |
89.146 |
transcript.whisperx[3].text |
你們到底在掩飾些什麼呢?台電的虧損是因為能源價格單純能源價格的提升嗎?難道不是綠能賺大錢嗎?雲豹賺大錢嗎?還在騙國際能源價格早就都已經跌下來了然後你們還在騙現在大幅提升是因為國際能源價格再來你們這兩天不停的在帶風向 |
transcript.whisperx[4].start |
91.693 |
transcript.whisperx[4].end |
116.741 |
transcript.whisperx[4].text |
來看一下這是歧途共欣賞之前你們說要做時間電價可以這個可以省錢後來呢在網路上說笑死人了是要讓我們半夜烤麵包嗎然後你們再繼續的做梗圖繼續的講幹話說白天烤也可以年省破4萬 |
transcript.whisperx[5].start |
120.1 |
transcript.whisperx[5].end |
146.394 |
transcript.whisperx[5].text |
市長請問一下這是什麼神邏輯如果漲電價還讓你可以省4萬那你繼續漲啊你漲20%、30%可以省更多啊這到底是什麼神邏輯我都不曉得你們經濟部在花多少錢在養這些公關公司幫你們做這些梗圖來欺騙老百姓把人民當笨蛋嗎漲價還可以省錢喔 |
transcript.whisperx[6].start |
147.881 |
transcript.whisperx[6].end |
176.496 |
transcript.whisperx[6].text |
那你早就該漲啊天天去漲價啊我們天天省錢有這樣的神邏輯嗎請問一下你們為什麼不好好的去傾聽瞭解不管是產業的聲音或者是民眾的聲音然後真的要讓大家要荷包要破費真的物價會上升這要承認嘛我們太多的假數字了待會我還要指出主計處在做假數據 |
transcript.whisperx[7].start |
178.838 |
transcript.whisperx[7].end |
189.233 |
transcript.whisperx[7].text |
為了掩飾太平啊你們可以做假訊息你們可以做假的梗圖你們可以做假的假的這些統計數字是很離譜欸 |
transcript.whisperx[8].start |
192.099 |
transcript.whisperx[8].end |
206.784 |
transcript.whisperx[8].text |
所以現在漲電價4月1號反正你們是鐵了心要漲電價比如說在立法院裡面現在在野黨都提出要動漲電價因為現在各行各業比如說剛才吳立華委員說啊農業能不能動漲啊你說動漲可是現在醫院也要動漲啊醫院動漲了嗎還沒有哦對不對 |
transcript.whisperx[9].start |
215.368 |
transcript.whisperx[9].end |
238.428 |
transcript.whisperx[9].text |
那大眾運輸系統大家也苦哈哈然後每一年在漲每一年都是自行吸收說能不能動漲可以動漲嗎你們也沒有給人家動漲啊所以請問一下經濟部在漲電價的同時你要跟老百姓要老實說到底問題出在哪裡然後告訴我們國際能源價格上漲 |
transcript.whisperx[10].start |
239.912 |
transcript.whisperx[10].end |
243.822 |
transcript.whisperx[10].text |
主計出來幫你們做嘞。他幫你們做噢世界各國啊什麼電價的那個比較 |
transcript.whisperx[11].start |
246.803 |
transcript.whisperx[11].end |
247.183 |
transcript.whisperx[11].text |
我們現在的問題 |
transcript.whisperx[12].start |
274.068 |
transcript.whisperx[12].end |
288.01 |
transcript.whisperx[12].text |
這些因為電價上漲其實波及的族群已經非常多了你現在到網路上要去租屋它的電費現在通通都是6塊錢有的甚至是7塊錢在之前是5塊錢 |
transcript.whisperx[13].start |
290.246 |
transcript.whisperx[13].end |
312.734 |
transcript.whisperx[13].text |
為什麼呢?就是因為4月1號漲電價了所以你現在去租屋網去看它的電價一度電通通都是已經6塊錢它一定隨之上漲所以為什麼我們今天召開這樣的一個專案報告是要告訴你們各行各業通通都會受影響不要告訴我們這種幹話 |
transcript.whisperx[14].start |
315.374 |
transcript.whisperx[14].end |
331.701 |
transcript.whisperx[14].text |
說你不用半夜烤麵包你還可以省4萬這麼好的事情這麼好看的事情這不是奇蹟嗎?綠色奇蹟實在太多了我真的第一次說漲價給人家漲電價還說人家還可以省錢呢好再來看好時間暫停一下我請那個朱記長朱主記長我也請央行總裁 |
transcript.whisperx[15].start |
345.162 |
transcript.whisperx[15].end |
346.503 |
transcript.whisperx[15].text |
引揚總裁主計長啊剛才你回答其他委員的這回答我都聽不下去我本來還尊敬你的專業你們現在為了粉飾太平牽強我們現在是和緩的和緩在哪裡和緩在哪裡 |
transcript.whisperx[16].start |
375.506 |
transcript.whisperx[16].end |
376.792 |
transcript.whisperx[16].text |
阿珍已經要漲價了因為單價上漲 |
transcript.whisperx[17].start |
380.009 |
transcript.whisperx[17].end |
405.67 |
transcript.whisperx[17].text |
然後我們現在說食物類高鐵說他們不敢漲這個運價票價因為可能交通部壓著他事實上高鐵我告訴你一個訊息高鐵內部已經在計算了因為踢除電價今年電價上漲消費物價已經超過5%他們已經達到他可以漲票價的一個這個他有票價公式 |
transcript.whisperx[18].start |
406.391 |
transcript.whisperx[18].end |
427.962 |
transcript.whisperx[18].text |
他們準備要報董事會他也許會被交通部壓著不漲票價可是我告訴你4月1號高鐵的便當已經漲價了高鐵便當漲價所以你認為民間其他的便當不會漲價嗎還告訴我何緩到底何緩在哪裡好再來看雙北265家醫院漲掛號費準備要漲掛號費網動暴動說是選對的人 |
transcript.whisperx[19].start |
435.307 |
transcript.whisperx[19].end |
448.629 |
transcript.whisperx[19].text |
所以我剛才也講因為現在醫院診所通通都在請命啊比如說你今天烤麵包你可以選時間我請問你醫院開刀動手術可以選時間嗎你告訴他選對的時間來開刀選對的時間來動手術是不是笑死人所以醫院也撐不住了不要再做這種擺爛的梗圖了 |
transcript.whisperx[20].start |
462.898 |
transcript.whisperx[20].end |
491.224 |
transcript.whisperx[20].text |
就是笑話嘛你們做一次梗圖人家就來吸你一次板啊你們做點正經事所以主計長萬物一定會起漲過去過去我們台灣有兩種價格上漲的時候絕對會影響物價一個是油價一個就是電價嘛這不是顯而易見的嗎你是第一天當主計長嗎來我再請問一下今天那個報告我也是大開眼界的 |
transcript.whisperx[21].start |
492.591 |
transcript.whisperx[21].end |
507.782 |
transcript.whisperx[21].text |
今年過去兩年的CPI我們都知道了今年的CPI你們第6頁主計處的報告第6頁預測今年的CPI將上漲2.03%我跟你打賭啦2.03%這麼低喔來中央銀行的報告第3頁預期 |
transcript.whisperx[22].start |
517.85 |
transcript.whisperx[22].end |
524.403 |
transcript.whisperx[22].text |
今年央行上修今年的CPI到2.16%央行略高一些 |
transcript.whisperx[23].start |
525.612 |
transcript.whisperx[23].end |
548.454 |
transcript.whisperx[23].text |
你們才2.03%我請問我聽哪一個的我也不知道聽哪一個的事實上我認為你們通通都是低估了通通都是低估了你們在來報告之前你們兩個不認識嗎總裁跟主計長這兩個到底哪一個才是對的我不知道但是我時間有限我還要再請命來下一頁 |
transcript.whisperx[24].start |
550.882 |
transcript.whisperx[24].end |
565.021 |
transcript.whisperx[24].text |
因為中央銀行的調息我知道因為中央銀行最怕物價上漲所以調息是一個預防性的打預防針老實說這也是跟全世界趨勢不一樣 |
transcript.whisperx[25].start |
565.922 |
transcript.whisperx[25].end |
585.511 |
transcript.whisperx[25].text |
全世界之前呢我們之前也是都是在漲這個利息都升息但是經啊對不起我們升息完在現在呢全世界事實上是都往降息的方向至少沒有升息美國也是一樣我們為什麼升息就是因應我們現在電價會大幅上漲 |
transcript.whisperx[26].start |
586.636 |
transcript.whisperx[26].end |
603.87 |
transcript.whisperx[26].text |
可是現在你當你升息之後很多的貸款比如說你現在親安貸款這個是政府有補貼可是因為郵局的升息現在公教人員的房貸隨之上漲因為他是跟著我們郵局來聯動的 |
transcript.whisperx[27].start |
606.352 |
transcript.whisperx[27].end |
627.557 |
transcript.whisperx[27].text |
好所以公教的房貸也上漲我現在為公教人員請命今年給他加薪4%結果呢物價上漲電價上漲房貸上漲然後再加上未來的什麼什麼可能什麼健保費啦什麼那個掛號費等等這48被吃得光光的 |
transcript.whisperx[28].start |
628.854 |
transcript.whisperx[28].end |
647.126 |
transcript.whisperx[28].text |
被吃得光光的所以我要讓我們的相關的部會知道在這一次電價調漲我們面臨一個什麼樣艱難的局面老百姓非常艱難尤其不管你是租屋族你是房貸族你是外食族 |
transcript.whisperx[29].start |
648.906 |
transcript.whisperx[29].end |
672.307 |
transcript.whisperx[29].text |
絕對都會漲價嘛不要告訴我們這些沒有問題很和緩民生用電沒有影響沒有影響你不要漲嘛就沒影響了我真的非常生氣我們台電的虧損不是就來自於我們錯誤的人員政策嗎次長你應該心知肚明啊 |
transcript.whisperx[30].start |
675.96 |
transcript.whisperx[30].end |
686.965 |
transcript.whisperx[30].text |
台電虧損累累結果綠能賺大錢啊不是綠能都在賺大錢嗎你們現在台電去對外購電的成本多少 |
transcript.whisperx[31].start |
688.354 |
transcript.whisperx[31].end |
717.575 |
transcript.whisperx[31].text |
便宜的核電你們不用嘛繼續啊讓他繼續的廚藝啊電價上漲是必然的趨勢更何況我們去年補台電一千億今年還補台電一千億我們納稅人是怎樣欠台電欠那些綠能的嗎所以如果真的因為國際能源上漲好那我們也就認了結果不是啊國際能源上漲的部分已經用我們納稅人吹吹超增吹收已經去彌補它了嘛 |
transcript.whisperx[32].start |
719.482 |
transcript.whisperx[32].end |
722.483 |
transcript.whisperx[32].text |
連續兩年離譜還不夠還要漲所以我要講就是說現在你們鐵了心要漲電價但是這個惡果是由全民來負擔但是我覺得更可惡的是你們不要嘴巴上雲淡風輕說這個沒有事當然有事然後謊言一大堆主計長 |
transcript.whisperx[33].start |
743.453 |
transcript.whisperx[33].end |
743.653 |
transcript.whisperx[33].text |
謝謝 休息10分鐘 |