IVOD_ID |
150383 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/150383 |
日期 |
2024-03-25 |
會議資料.會議代碼 |
委員會-11-1-26-8 |
會議資料.會議代碼:str |
第11屆第1會期社會福利及衛生環境委員會第8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 |
8 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
26 |
會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
會議資料.標題 |
第11屆第1會期社會福利及衛生環境委員會第8次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-03-25T12:15:09+08:00 |
結束時間 |
2024-03-25T12:23:48+08:00 |
影片長度 |
00:08:39 |
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/3b2b855ee35a005b7a3104e4267b9936e5559e54a1be29d3f8ba9b0039caa7a6ced9b5e91fca9c545ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
楊瓊瓔 |
委員發言時間 |
12:15:09 - 12:23:48 |
會議時間 |
2024-03-25T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期社會福利及衛生環境委員會第8次全體委員會議(事由:一、邀請勞動部部長就「事業單位應加強安全衛生管理制度、作業流程及必要教育訓練,並落實職場防災管理」進行專題報告,並備質詢。
二、處理中華民國113年度中央政府總預算有關勞動部主管預算凍結案21案(含報告事項20案及討論事項1案)。
【專題報告及討論事項綜合詢答】) |
gazette.lineno |
1043 |
gazette.blocks[0][0] |
楊委員瓊瓔:(12時15分)謝謝主席,現在由楊瓊瓔發言,首先邀請部長。 |
gazette.blocks[1][0] |
主席:請許部長。 |
gazette.blocks[2][0] |
許部長銘春:楊委員好。 |
gazette.blocks[3][0] |
楊委員瓊瓔:部長好。部長,本席每次都會和你討論這個問題,請問2023年勞保基金精算後的負債是多少? |
gazette.blocks[4][0] |
許部長銘春:潛藏負債大概是十二兆多元。 |
gazette.blocks[5][0] |
楊委員瓊瓔:十三兆多元吧! |
gazette.blocks[6][0] |
許部長銘春:其中有部分是責任準備金啦! |
gazette.blocks[7][0] |
楊委員瓊瓔:那也是負債啊!對不對?這樣是多少? |
gazette.blocks[8][0] |
許部長銘春:對啦!如果整個加起來,精算後負債是13兆元。 |
gazette.blocks[9][0] |
楊委員瓊瓔:將近13.5兆元了啦!部長。本席每次都和你討論這個問題,上一個年度是12.3兆元,現在又增加七千多億元,怎麼辦?平均每人為勞保背債56萬元,2020年精算的金額是11.5兆元,今天呢?怎麼辦?每次本席問你這個問題,你都說和他們在討論啟動年金改革。 |
gazette.blocks[9][1] |
還有,你會告訴本席一句話,政府沒倒,勞保一定不會倒。不要再用這種言語啦!這種騙術、話術不好聽啦!詐騙的話術不好聽。我們來實質討論一下,本席看到今天送來的資料,你們的預算解凍案報告和過去一樣,答案還是在研擬修法,蒐集各界意見。部長,現在的進度是什麼? |
gazette.blocks[10][0] |
許部長銘春:就是持續在蒐集意見。 |
gazette.blocks[11][0] |
楊委員瓊瓔:還是和你們的書面資料一樣啊!你每次都回答一樣的話。時間點呢?你們制定的KPI是什麼?時間表和具體進展如何?不能負債一直增加,但每次都告訴我們這個答案,政府不會倒,政府如果沒有倒,勞保不會倒,這樣讓我們覺得好害怕。你們說持續在蒐集社會意見,現在怎麼辦?請你告訴本席現在的進度,好不好? |
gazette.blocks[12][0] |
許部長銘春:因為勞保年改牽涉到千萬名勞工,60萬個投保單位,所以這個…… |
gazette.blocks[13][0] |
楊委員瓊瓔:我們都很清楚理由,但是已經8年了,到底有沒有進度?請你告訴我們…… |
gazette.blocks[14][0] |
許部長銘春:進度就是至少撥補有做啦! |
gazette.blocks[15][0] |
楊委員瓊瓔:你們說要做年金改革,到現在為止已經8年,請你告訴本席進度,好不好? |
gazette.blocks[16][0] |
許部長銘春:關於進度方面,我們有共識的就是撥補這一塊,我們有做到啦!其他…… |
gazette.blocks[17][0] |
楊委員瓊瓔:請問現在行政院要撥補多少? |
gazette.blocks[18][0] |
許部長銘春:今年是1,300億元。 |
gazette.blocks[19][0] |
楊委員瓊瓔:你覺得這樣夠嗎? |
gazette.blocks[20][0] |
許部長銘春:這對財務穩定是有幫助的。 |
gazette.blocks[21][0] |
楊委員瓊瓔:部長,你身為勞動部部長,應該要站在勞工這一邊,對不對? |
gazette.blocks[22][0] |
許部長銘春:我們就是站在勞工這一邊才爭取撥補啊!這樣也能讓勞工安心,因為…… |
gazette.blocks[23][0] |
楊委員瓊瓔:這是治標,不會治本。這個問題的根本,就是你答應我們的年金改革,請你把時間表、具體進展的書面資料提供給本席。本席最後要問你一句話,請問新政府會進行改革嗎?因為520快到了,新政府會不會進行改革?會不會持續改革? |
gazette.blocks[24][0] |
許部長銘春:這要由新政府回答,我不能代表新政府回答。 |
gazette.blocks[25][0] |
楊委員瓊瓔:你是沒有信心繼續擔任部長嗎?為什麼推卸責任,不負責?你現在是部長喔! |
gazette.blocks[26][0] |
許部長銘春:不是啦!我是說這個問題我沒有辦法回答,因為你問的是新政府,我是現任的勞動部部長。 |
gazette.blocks[27][0] |
楊委員瓊瓔:所以你還沒有被諮詢,是不是? |
gazette.blocks[28][0] |
許部長銘春:我已經說過,我就是做好目前的工作,希望能夠順利交棒給下一任。 |
gazette.blocks[29][0] |
楊委員瓊瓔:好,本席還是要告訴你,請你不要再用有政府不會倒這種口號、騙術、話術來粉刷…… |
gazette.blocks[30][0] |
許部長銘春:委員,這個不是騙術,這個是…… |
gazette.blocks[31][0] |
楊委員瓊瓔:已經這麼多年了,請你注意聽,把你們改革的進度、時間表和具體進展的書面資料提供給本席。 |
gazette.blocks[32][0] |
許部長銘春:好,謝謝委員。 |
gazette.blocks[33][0] |
楊委員瓊瓔:什麼時候可以提供給本席? |
gazette.blocks[34][0] |
許部長銘春:一個月,好不好? |
gazette.blocks[35][0] |
楊委員瓊瓔:好,本席接受,請你們翔實說明。 |
gazette.blocks[36][0] |
許部長銘春:好,謝謝。 |
gazette.blocks[37][0] |
楊委員瓊瓔:接下來我們討論的是,你們說113年要設定為營造業墜落打擊年,因為111年墜落的工安事件占70%。請教部長,你們如何改善?你們的檢查人員夠不夠?既然有這個口號,表示這是很嚴重的問題,你們怎麼改善、防止這樣的問題? |
gazette.blocks[38][0] |
許部長銘春:我們在檢查方面的策略,當然是增加這方面的檢查頻率,也會…… |
gazette.blocks[39][0] |
楊委員瓊瓔:檢查人力夠嗎? |
gazette.blocks[40][0] |
許部長銘春:我們目前的人力當然都是…… |
gazette.blocks[41][0] |
楊委員瓊瓔:本席知道你會回答要增加頻率,所以本席要提問了,你們的人力夠不夠? |
gazette.blocks[42][0] |
許部長銘春:我們現在的人力符合OECD的標準啦!我們現在…… |
gazette.blocks[43][0] |
楊委員瓊瓔:當然是符合啊!但你們說要增加檢查頻率,這樣人力夠嗎? |
gazette.blocks[44][0] |
許部長銘春:現在員額還不足的部分,我們希望…… |
gazette.blocks[45][0] |
楊委員瓊瓔:你說到重點了啦!要坦白面對啦! |
gazette.blocks[46][0] |
許部長銘春:我們鼓勵徵才、留才。 |
gazette.blocks[47][0] |
楊委員瓊瓔:你們員額不足的部分要想辦法,你們要增加檢查次數,人員當然也要增加,對不對? |
gazette.blocks[48][0] |
許部長銘春:是的。 |
gazette.blocks[49][0] |
楊委員瓊瓔:趕快去努力,要把這項工作完成,不要再發生墜落了。 |
gazette.blocks[50][0] |
許部長銘春:好的。 |
gazette.blocks[51][0] |
楊委員瓊瓔:最後一個議題,謝謝主席。電價漲價了,勞工怎麼辦?光是自來水公司,本席問過他們,電價漲了之後,你們會增加多少成本?他們說10億元,本席問了經濟部長,那是你們所屬的單位,你們會不會給他們10億元?沒有!那電價調漲後該怎麼辦?陳院長說,漲價和電價沒有直接關係,但是店家已經開始要漲價囉!怎麼辦?民生很苦耶!勞工很苦耶!大家還是要吃飯啊!怎麼辦? |
gazette.blocks[51][1] |
通勤族光是搭捷運,因為電價漲價就會增加多少成本?會不會轉嫁給通勤族?我們都好緊張耶!連吃一個麵包,我們也很緊張,因為一家麵包店要增加上萬元電費,他們會不會漲價?你認為會不會漲價?因為電價上漲,你認為物價會不會跟著上漲? |
gazette.blocks[52][0] |
許部長銘春:是有可能啦! |
gazette.blocks[53][0] |
楊委員瓊瓔:這一點大家都同意啊!國發會主委也說會漲啊!那我們的勞工怎麼辦? |
gazette.blocks[54][0] |
許部長銘春:所以這個部分我們會持續關注,這個對…… |
gazette.blocks[55][0] |
楊委員瓊瓔:你們要怎麼關注? |
gazette.blocks[56][0] |
許部長銘春:看它對消費者物價指數的影響。 |
gazette.blocks[57][0] |
楊委員瓊瓔:一定會漲啊!勞工怎麼辦?你們的最低薪資…… |
gazette.blocks[58][0] |
許部長銘春:我們的最低工資法,CPI(消費者物價指數)年增率是法定應參採指標,其實這個CPI就是包括居住類相關的指數,柴米油鹽、電等等都包括在裡面…… |
gazette.blocks[59][0] |
楊委員瓊瓔:現在通通都會漲,而且是一定會漲,你們該怎麼辦? |
gazette.blocks[60][0] |
許部長銘春:今年第三季最低工資審議會在討論…… |
gazette.blocks[61][0] |
楊委員瓊瓔:什麼時候討論? |
gazette.blocks[62][0] |
許部長銘春:第三季,在七、八、九月。我們最低工資都是第三季決定,到時候委員會斟酌相關因素去做一個合理的決定。 |
gazette.blocks[63][0] |
楊委員瓊瓔:針對電價上漲對勞工的衝擊,請你們提供一份書面資料給本席…… |
gazette.blocks[64][0] |
許部長銘春:好的。 |
gazette.blocks[65][0] |
楊委員瓊瓔:還有你們第三季開會的時候會提出什麼建議方案,讓勞工可以穩定生活,謝謝。 |
gazette.blocks[66][0] |
許部長銘春:好的。 |
gazette.blocks[67][0] |
主席:謝謝楊瓊瓔委員。接下來請羅智強委員發言。 |
gazette.agenda.page_end |
148 |
gazette.agenda.meet_id |
委員會-11-1-26-8 |
gazette.agenda.speakers[0] |
黃秀芳 |
gazette.agenda.speakers[1] |
陳昭姿 |
gazette.agenda.speakers[2] |
陳菁徽 |
gazette.agenda.speakers[3] |
林月琴 |
gazette.agenda.speakers[4] |
邱鎮軍 |
gazette.agenda.speakers[5] |
廖偉翔 |
gazette.agenda.speakers[6] |
蘇清泉 |
gazette.agenda.speakers[7] |
王育敏 |
gazette.agenda.speakers[8] |
盧縣一 |
gazette.agenda.speakers[9] |
涂權吉 |
gazette.agenda.speakers[10] |
王正旭 |
gazette.agenda.speakers[11] |
林淑芬 |
gazette.agenda.speakers[12] |
林德福 |
gazette.agenda.speakers[13] |
黃國昌 |
gazette.agenda.speakers[14] |
賴士葆 |
gazette.agenda.speakers[15] |
陳培瑜 |
gazette.agenda.speakers[16] |
楊瓊瓔 |
gazette.agenda.speakers[17] |
羅智強 |
gazette.agenda.speakers[18] |
洪孟楷 |
gazette.agenda.speakers[19] |
牛煦庭 |
gazette.agenda.speakers[20] |
陳瑩 |
gazette.agenda.speakers[21] |
劉建國 |
gazette.agenda.speakers[22] |
楊曜 |
gazette.agenda.speakers[23] |
徐巧芯 |
gazette.agenda.speakers[24] |
葉元之 |
gazette.agenda.page_start |
1 |
gazette.agenda.meetingDate[0] |
2024-03-25 |
gazette.agenda.gazette_id |
1131901 |
gazette.agenda.agenda_lcidc_ids[0] |
1131901_00002 |
gazette.agenda.meet_name |
立法院第11屆第1會期社會福利及衛生環境委員會第8次全體委員會議紀錄 |
gazette.agenda.content |
一、邀請勞動部部長就「事業單位應加強安全衛生管理制度、作業流程及必要教育訓練,並落實
職場防災管理」進行專題報告,並備質詢;二、處理中華民國113年度中央政府總預算有關勞動
部主管預算凍結案21案(含報告事項20案及討論事項1案) |
gazette.agenda.agenda_id |
1131901_00001 |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
6.13971875 |
transcript.pyannote[0].end |
10.15596875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
7.37159375 |
transcript.pyannote[1].end |
7.74284375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
10.61159375 |
transcript.pyannote[2].end |
11.47221875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
14.81346875 |
transcript.pyannote[3].end |
15.03284375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
15.03284375 |
transcript.pyannote[4].end |
15.55596875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
15.13409375 |
transcript.pyannote[5].end |
15.33659375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
15.55596875 |
transcript.pyannote[6].end |
15.57284375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
15.64034375 |
transcript.pyannote[7].end |
17.85096875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
18.12096875 |
transcript.pyannote[8].end |
22.67721875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
22.99784375 |
transcript.pyannote[9].end |
28.24596875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
29.69721875 |
transcript.pyannote[10].end |
29.96721875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
29.96721875 |
transcript.pyannote[11].end |
30.00096875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
30.00096875 |
transcript.pyannote[12].end |
30.01784375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
30.01784375 |
transcript.pyannote[13].end |
30.05159375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
30.05159375 |
transcript.pyannote[14].end |
30.37221875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
30.37221875 |
transcript.pyannote[15].end |
30.43971875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
30.43971875 |
transcript.pyannote[16].end |
30.72659375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
30.72659375 |
transcript.pyannote[17].end |
31.23284375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
31.23284375 |
transcript.pyannote[18].end |
32.02596875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
31.46909375 |
transcript.pyannote[19].end |
34.38846875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
34.64159375 |
transcript.pyannote[20].end |
37.00409375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
37.08846875 |
transcript.pyannote[21].end |
39.77159375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
38.03346875 |
transcript.pyannote[22].end |
38.33721875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
40.24409375 |
transcript.pyannote[23].end |
45.22221875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
42.91034375 |
transcript.pyannote[24].end |
43.60221875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
44.05784375 |
transcript.pyannote[25].end |
45.44159375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
45.55971875 |
transcript.pyannote[26].end |
45.89721875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
45.79596875 |
transcript.pyannote[27].end |
47.12909375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
46.18409375 |
transcript.pyannote[28].end |
52.84971875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
48.41159375 |
transcript.pyannote[29].end |
49.13721875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
54.48659375 |
transcript.pyannote[30].end |
58.90784375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
59.61659375 |
transcript.pyannote[31].end |
64.20659375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
62.82284375 |
transcript.pyannote[32].end |
63.00846875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
64.74659375 |
transcript.pyannote[33].end |
67.05846875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
67.49721875 |
transcript.pyannote[34].end |
68.42534375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
68.99909375 |
transcript.pyannote[35].end |
75.09096875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
75.73221875 |
transcript.pyannote[36].end |
81.90846875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
82.76909375 |
transcript.pyannote[37].end |
94.48034375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
94.91909375 |
transcript.pyannote[38].end |
103.94721875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
104.43659375 |
transcript.pyannote[39].end |
115.13534375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
115.84409375 |
transcript.pyannote[40].end |
117.78471875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
118.17284375 |
transcript.pyannote[41].end |
120.31596875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
122.10471875 |
transcript.pyannote[42].end |
122.47596875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
123.21846875 |
transcript.pyannote[43].end |
124.39971875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
123.25221875 |
transcript.pyannote[44].end |
123.50534375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
124.50096875 |
transcript.pyannote[45].end |
126.17159375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
126.28971875 |
transcript.pyannote[46].end |
129.68159375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
130.15409375 |
transcript.pyannote[47].end |
133.66409375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
133.91721875 |
transcript.pyannote[48].end |
137.73096875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
138.70971875 |
transcript.pyannote[49].end |
143.63721875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
144.54846875 |
transcript.pyannote[50].end |
147.53534375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
148.75034375 |
transcript.pyannote[51].end |
152.96909375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
149.08784375 |
transcript.pyannote[52].end |
150.33659375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
153.69471875 |
transcript.pyannote[53].end |
154.53846875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
154.96034375 |
transcript.pyannote[54].end |
156.20909375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
157.25534375 |
transcript.pyannote[55].end |
164.27534375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
163.73534375 |
transcript.pyannote[56].end |
177.53909375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
165.13596875 |
transcript.pyannote[57].end |
166.89096875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
170.26596875 |
transcript.pyannote[58].end |
172.76346875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
174.19784375 |
transcript.pyannote[59].end |
174.70409375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
176.49284375 |
transcript.pyannote[60].end |
182.12909375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
181.04909375 |
transcript.pyannote[61].end |
182.23034375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
182.95596875 |
transcript.pyannote[62].end |
185.21721875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
186.55034375 |
transcript.pyannote[63].end |
186.56721875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
186.56721875 |
transcript.pyannote[64].end |
188.28846875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
189.06471875 |
transcript.pyannote[65].end |
189.97596875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
189.97596875 |
transcript.pyannote[66].end |
190.24596875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
190.97159375 |
transcript.pyannote[67].end |
194.92034375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
195.83159375 |
transcript.pyannote[68].end |
196.05096875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
196.05096875 |
transcript.pyannote[69].end |
197.70471875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
197.70471875 |
transcript.pyannote[70].end |
198.37971875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
198.37971875 |
transcript.pyannote[71].end |
200.53971875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
198.39659375 |
transcript.pyannote[72].end |
199.51034375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
200.53971875 |
transcript.pyannote[73].end |
206.59784375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
200.67471875 |
transcript.pyannote[74].end |
201.50159375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
202.56471875 |
transcript.pyannote[75].end |
202.81784375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
206.78346875 |
transcript.pyannote[76].end |
206.83409375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
206.83409375 |
transcript.pyannote[77].end |
208.63971875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
209.16284375 |
transcript.pyannote[78].end |
214.69784375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
214.95096875 |
transcript.pyannote[79].end |
216.26721875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
216.31784375 |
transcript.pyannote[80].end |
219.08534375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
219.57471875 |
transcript.pyannote[81].end |
220.01346875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
220.48596875 |
transcript.pyannote[82].end |
225.88596875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
226.72971875 |
transcript.pyannote[83].end |
227.13471875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
228.36659375 |
transcript.pyannote[84].end |
228.38346875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
228.38346875 |
transcript.pyannote[85].end |
232.24784375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
229.27784375 |
transcript.pyannote[86].end |
235.69034375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
233.91846875 |
transcript.pyannote[87].end |
239.01471875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
236.56784375 |
transcript.pyannote[88].end |
236.77034375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
239.09909375 |
transcript.pyannote[89].end |
241.49534375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
239.26784375 |
transcript.pyannote[90].end |
239.62221875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
241.78221875 |
transcript.pyannote[91].end |
241.84971875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
241.84971875 |
transcript.pyannote[92].end |
242.28846875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
241.86659375 |
transcript.pyannote[93].end |
243.08159375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
243.43596875 |
transcript.pyannote[94].end |
247.09784375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
243.48659375 |
transcript.pyannote[95].end |
249.71346875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
250.32096875 |
transcript.pyannote[96].end |
253.40909375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
251.92409375 |
transcript.pyannote[97].end |
253.39221875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
253.40909375 |
transcript.pyannote[98].end |
253.81409375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
253.81409375 |
transcript.pyannote[99].end |
260.31096875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
255.01221875 |
transcript.pyannote[100].end |
256.48034375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
258.64034375 |
transcript.pyannote[101].end |
261.20534375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
261.96471875 |
transcript.pyannote[102].end |
266.23409375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
266.58846875 |
transcript.pyannote[103].end |
277.42221875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
267.56721875 |
transcript.pyannote[104].end |
271.22909375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
277.50659375 |
transcript.pyannote[105].end |
279.02534375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
279.70034375 |
transcript.pyannote[106].end |
280.29096875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
279.90284375 |
transcript.pyannote[107].end |
281.05034375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
280.62846875 |
transcript.pyannote[108].end |
281.84346875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
285.74159375 |
transcript.pyannote[109].end |
286.46721875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
287.26034375 |
transcript.pyannote[110].end |
303.29159375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
288.35721875 |
transcript.pyannote[111].end |
289.13346875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
303.66284375 |
transcript.pyannote[112].end |
316.87596875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
317.38221875 |
transcript.pyannote[113].end |
320.18346875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
320.28471875 |
transcript.pyannote[114].end |
321.73596875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
321.88784375 |
transcript.pyannote[115].end |
322.29284375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
322.29284375 |
transcript.pyannote[116].end |
328.85721875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
326.61284375 |
transcript.pyannote[117].end |
328.97534375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
329.46471875 |
transcript.pyannote[118].end |
336.38346875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
332.60346875 |
transcript.pyannote[119].end |
332.77221875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
336.41721875 |
transcript.pyannote[120].end |
337.98659375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
338.15534375 |
transcript.pyannote[121].end |
339.31971875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
338.86409375 |
transcript.pyannote[122].end |
339.64034375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
340.01159375 |
transcript.pyannote[123].end |
344.02784375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
344.02784375 |
transcript.pyannote[124].end |
344.24721875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
344.24721875 |
transcript.pyannote[125].end |
345.02346875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
345.02346875 |
transcript.pyannote[126].end |
345.04034375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
345.04034375 |
transcript.pyannote[127].end |
345.42846875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
345.42846875 |
transcript.pyannote[128].end |
351.31784375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
345.54659375 |
transcript.pyannote[129].end |
346.71096875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
350.44034375 |
transcript.pyannote[130].end |
350.64284375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
351.31784375 |
transcript.pyannote[131].end |
354.69284375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
354.97971875 |
transcript.pyannote[132].end |
355.16534375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
355.62096875 |
transcript.pyannote[133].end |
356.65034375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
356.81909375 |
transcript.pyannote[134].end |
358.72596875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
358.72596875 |
transcript.pyannote[135].end |
360.59909375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
359.63721875 |
transcript.pyannote[136].end |
360.44721875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
360.59909375 |
transcript.pyannote[137].end |
372.31034375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
369.44159375 |
transcript.pyannote[138].end |
370.97721875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
371.43284375 |
transcript.pyannote[139].end |
389.94471875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
374.38596875 |
transcript.pyannote[140].end |
375.11159375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
379.27971875 |
transcript.pyannote[141].end |
380.96721875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
381.49034375 |
transcript.pyannote[142].end |
381.97971875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
390.24846875 |
transcript.pyannote[143].end |
391.12596875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
391.63221875 |
transcript.pyannote[144].end |
392.79659375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
394.28159375 |
transcript.pyannote[145].end |
403.63034375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
404.22096875 |
transcript.pyannote[146].end |
407.68034375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
408.60846875 |
transcript.pyannote[147].end |
411.84846875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
411.89909375 |
transcript.pyannote[148].end |
413.68784375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
414.34596875 |
transcript.pyannote[149].end |
425.34846875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
425.82096875 |
transcript.pyannote[150].end |
438.73034375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
439.32096875 |
transcript.pyannote[151].end |
443.53971875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
443.77596875 |
transcript.pyannote[152].end |
448.61909375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
449.14221875 |
transcript.pyannote[153].end |
449.46284375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
449.46284375 |
transcript.pyannote[154].end |
450.44159375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
450.22221875 |
transcript.pyannote[155].end |
455.38596875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
455.77409375 |
transcript.pyannote[156].end |
455.85846875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
456.19596875 |
transcript.pyannote[157].end |
458.92971875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
458.17034375 |
transcript.pyannote[158].end |
459.08159375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
459.08159375 |
transcript.pyannote[159].end |
477.61034375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
462.23721875 |
transcript.pyannote[160].end |
462.81096875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
463.11471875 |
transcript.pyannote[161].end |
464.48159375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
465.20721875 |
transcript.pyannote[162].end |
465.83159375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
466.32096875 |
transcript.pyannote[163].end |
466.77659375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
478.04909375 |
transcript.pyannote[164].end |
483.21284375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
481.69409375 |
transcript.pyannote[165].end |
483.22971875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
483.22971875 |
transcript.pyannote[166].end |
484.02284375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
484.02284375 |
transcript.pyannote[167].end |
484.20846875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
484.20846875 |
transcript.pyannote[168].end |
484.46159375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
484.46159375 |
transcript.pyannote[169].end |
485.45721875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
484.52909375 |
transcript.pyannote[170].end |
492.57846875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
494.31659375 |
transcript.pyannote[171].end |
502.95659375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
502.95659375 |
transcript.pyannote[172].end |
504.22221875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
504.71159375 |
transcript.pyannote[173].end |
507.02346875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
507.83346875 |
transcript.pyannote[174].end |
516.38909375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
509.30159375 |
transcript.pyannote[175].end |
509.72346875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
515.12346875 |
transcript.pyannote[176].end |
516.16971875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
516.59159375 |
transcript.pyannote[177].end |
518.61659375 |
transcript.whisperx[0].start |
6.378 |
transcript.whisperx[0].end |
11.282 |
transcript.whisperx[0].text |
謝謝主席楊全發言想邀請我們的部長請許部長楊委員好部長好部長我們繼續討論我每一次都跟你討論本席跟你討論我們現在2023年你的這個老闆基金的精算你的負債現在多少 |
transcript.whisperx[1].start |
29.744 |
transcript.whisperx[1].end |
30.984 |
transcript.whisperx[1].text |
13將近要13.5兆了啦,部長。 |
transcript.whisperx[2].start |
59.693 |
transcript.whisperx[2].end |
81.415 |
transcript.whisperx[2].text |
我每一次跟你討論這個,因為上一個年度你是12.3兆,你又給我減到7000萬,那這怎麼辦?那所以我一直在跟你討論,平均每一個人的老闆背負的是要56萬,那你如果2020年你精算的是11.5兆,那今天怎麼辦? |
transcript.whisperx[3].start |
82.83 |
transcript.whisperx[3].end |
93.502 |
transcript.whisperx[3].text |
每一次本席跟你說你都說你跟他們在討論啟動年金改革還有你會告訴本席一句話政府沒賭勞保一定沒賭不要再用這種言語啦這種騙術喔這種話術不好聽啦詐騙的話術不好聽來我們實質來討論 |
transcript.whisperx[4].start |
104.514 |
transcript.whisperx[4].end |
120.052 |
transcript.whisperx[4].text |
不過本席在看到你今天所送來的你的預算解凍案的報告當中你還是跟過去一樣啊你的答案還是一樣在研擬修法你己各藉意見部長我們現在進度到底到哪裡 |
transcript.whisperx[5].start |
122.148 |
transcript.whisperx[5].end |
145.715 |
transcript.whisperx[5].text |
部長,現在進度到哪裡?就持續在收集意見你還跟你的書面資料一樣啊,你每一次都講一樣的啊你時間點勒,你的KPI制定在哪裡?你的時間表跟你的具體進展是怎麼樣?沒有這樣負債一直增加,然後每一次都告訴我們這個答案啊政府不會倒,政府如果沒倒,勞動部不會倒,我會怕咧? |
transcript.whisperx[6].start |
148.783 |
transcript.whisperx[6].end |
155.976 |
transcript.whisperx[6].text |
我持續再汲取社會意見那現在怎麼辦?你的進度告訴我進度好不好? |
transcript.whisperx[7].start |
157.524 |
transcript.whisperx[7].end |
181.763 |
transcript.whisperx[7].text |
報告委員因為就是這個勞保年改因為牽涉到千萬的勞工60萬的投保這個理由都很清楚已經這麼多年了8年了到底有沒有進度請告訴我們這也是你告訴我們的我按年金改革啊8年了你進度告訴我進度方面我們有共識的部分就是撥補這一塊我們有做到撥補我請問現在現在要撥補給你多少 |
transcript.whisperx[8].start |
186.584 |
transcript.whisperx[8].end |
189.727 |
transcript.whisperx[8].text |
新年是一千三嘛你覺得這樣夠不夠這個對財務的這個穩定是有幫助的 |
transcript.whisperx[9].start |
195.868 |
transcript.whisperx[9].end |
218.81 |
transcript.whisperx[9].text |
部長,你身為我們勞動部的部長,你要站在勞工這邊啦我們就是站在勞工這邊,要撿出撥補啊這撥補也好,讓勞工安心嘛這個是治標,不會治本所以你的根本是你答應我們的要年金改革所以本市還是告訴你請你把你的時間表具體的進展 |
transcript.whisperx[10].start |
220.572 |
transcript.whisperx[10].end |
225.615 |
transcript.whisperx[10].text |
書面資料給本席那我最後要問你一句話新政府會進行改革嗎?請教另外520快到了啊 放大意給你啊新政府會不會進行改革?會不會持續改革?我不能代表新政府來回答啊你現在沒有信心你繼續做保證是嗎?你為什麼這樣子推責任不負責任你現在是部長喔我現在還是 |
transcript.whisperx[11].start |
250.55 |
transcript.whisperx[11].end |
278.476 |
transcript.whisperx[11].text |
還是現任的勞動部部長啊所以你現在沒得到諮詢是不是不是我已經講過了我說我現在就是做好目前的工作希望能夠順利交到給下一任嘛好我還是告訴你有政府不會倒這樣子的口號請你不要再用這種口號騙數掛數來本刷已經這麼多年了請你注意聽把你改革的進度你的時間表跟具體的進展書面資料給本席 |
transcript.whisperx[12].start |
279.756 |
transcript.whisperx[12].end |
281.597 |
transcript.whisperx[12].text |
應照頁最近113年設定應照頁墜落打擊年,因為在整個111年裡頭, |
transcript.whisperx[13].start |
303.766 |
transcript.whisperx[13].end |
327.001 |
transcript.whisperx[13].text |
那我們看到墜落的部分是佔了70%所以113年設定營造業墜落打擊年那請教目前你們怎麼樣去改善之?你的人員你檢查人員夠不夠要怎麼去改善?請教部長既然有這個口號出來就是嚴重的問題怎麼改善它?怎麼防止它? |
transcript.whisperx[14].start |
331.044 |
transcript.whisperx[14].end |
354.181 |
transcript.whisperx[14].text |
這個檢查方面的策略我們當然會把增加這方面的檢查的頻率人夠嗎?檢查人力夠嗎?我們人力目前當然你要增加頻率我知道本席知道你會這麼回答所以本席要提問了你的人力夠不夠?報告委員我們現在的人力就是 |
transcript.whisperx[15].start |
355.746 |
transcript.whisperx[15].end |
359.008 |
transcript.whisperx[15].text |
含報告事項21案及討論含報告事項21案及討論含報告事項21案及討論含報告事項21案及討論 |
transcript.whisperx[16].start |
383.604 |
transcript.whisperx[16].end |
390.359 |
transcript.whisperx[16].text |
能夠完成不要再墜落了最後一個議題馬上最後謝謝主席最後一個議題漲價了我們勞工怎麼辦 |
transcript.whisperx[17].start |
394.352 |
transcript.whisperx[17].end |
405.283 |
transcript.whisperx[17].text |
關於自來水公司我問他說你電價漲了之後你會增加多少成本他告訴我10億我問了經濟部長那是你所屬的你會不會給他10億沒有那是怎麼辦我們電價怎麼辦陳院長說漲價跟電價它沒有直接的關係我們說電價 |
transcript.whisperx[18].start |
414.512 |
transcript.whisperx[18].end |
431.908 |
transcript.whisperx[18].text |
已經開始要漲價了怎麼辦民生很苦勞工很苦怎麼辦還是要吃飯怎麼辦通勤族的觀光捷運因為漲價他要增加多少電費增加他的成本會增加會不會轉嫁到通勤族我們都好緊張都很緊張連一個麵包我們也很緊張你看一個麵包電要給他加 |
transcript.whisperx[19].start |
439.475 |
transcript.whisperx[19].end |
444.661 |
transcript.whisperx[19].text |
上萬元的這個電費它會不會漲價你認為會不會漲價因為電價漲而產生物價會漲你認為會不會漲是有可能大家都同意啊國防會主委說會漲啊那我們的勞工怎麼辦 |
transcript.whisperx[20].start |
456.275 |
transcript.whisperx[20].end |
477.017 |
transcript.whisperx[20].text |
所以這個部分我們會持續關注你要怎麼關注對消費者物價指數的影響他會漲啊那老公怎麼辦你的最低薪資最低工資法對那個CPI對消費者物價指數年增率這個是因參財指標法定因參財指標那其實這個CPI就是包括了 |
transcript.whisperx[21].start |
478.138 |
transcript.whisperx[21].end |
505.163 |
transcript.whisperx[21].text |
居住類相關指數彩米油鹽包括電所以現在統統都會漲一定都會漲所以你要怎麼辦今年我們在討論第三季我想最低工資審議會在討論什麼事要討論第三季在7、8、9我們最低工資都是第三季決定我想到時候委員會斟酌相關的因素去做一個合理的決定所以我要你一個資料電價上漲對於勞工的衝擊 |
transcript.whisperx[22].start |
507.901 |
transcript.whisperx[22].end |
515.457 |
transcript.whisperx[22].text |
你請書面資料給本席在你第三季要開會的時候你要怎麼樣建立方案讓我們勞工可以穩定生活好不好謝謝 |