iVOD / 158062

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6c9ad41bd34b9fe1a23fb6f42fded0fbed8529c4fbc925bc4c7fe42a3b247367855b1c4d5317d4a35ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 羅智強
委員發言時間 15:25:23 - 15:30:24
影片長度 301
會議時間 2024-12-09T14:30:00+08:00
會議名稱 立法院第11屆第2會期司法及法制委員會公聽會(事由:「公務人員退休資遣撫卹法相關法案」公聽會)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.35159375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 1.04346875
transcript.pyannote[1].end 2.37659375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 3.45659375
transcript.pyannote[2].end 6.44346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 6.79784375
transcript.pyannote[3].end 9.56534375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 10.42596875
transcript.pyannote[4].end 12.36659375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 13.27784375
transcript.pyannote[5].end 14.79659375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 15.16784375
transcript.pyannote[6].end 15.85971875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 16.77096875
transcript.pyannote[7].end 17.39534375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 18.12096875
transcript.pyannote[8].end 20.53409375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 22.23846875
transcript.pyannote[9].end 27.84096875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 29.49471875
transcript.pyannote[10].end 30.43971875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 31.36784375
transcript.pyannote[11].end 32.76846875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 33.57846875
transcript.pyannote[12].end 37.96596875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 39.14721875
transcript.pyannote[13].end 40.19346875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 40.88534375
transcript.pyannote[14].end 42.04971875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 44.36159375
transcript.pyannote[15].end 48.22596875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 49.39034375
transcript.pyannote[16].end 50.75721875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 51.34784375
transcript.pyannote[17].end 54.90846875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 55.63409375
transcript.pyannote[18].end 56.93346875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 57.52409375
transcript.pyannote[19].end 59.27909375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 60.86534375
transcript.pyannote[20].end 61.65846875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 62.92409375
transcript.pyannote[21].end 66.63659375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 67.81784375
transcript.pyannote[22].end 68.52659375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 69.03284375
transcript.pyannote[23].end 71.24346875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 72.42471875
transcript.pyannote[24].end 76.30596875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 77.11596875
transcript.pyannote[25].end 77.67284375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 78.63471875
transcript.pyannote[26].end 79.19159375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 80.27159375
transcript.pyannote[27].end 80.82846875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 81.38534375
transcript.pyannote[28].end 82.02659375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 82.33034375
transcript.pyannote[29].end 84.11909375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 84.57471875
transcript.pyannote[30].end 85.45221875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 86.21159375
transcript.pyannote[31].end 87.08909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 87.51096875
transcript.pyannote[32].end 88.54034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 88.99596875
transcript.pyannote[33].end 92.35409375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 92.91096875
transcript.pyannote[34].end 95.29034375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 95.76284375
transcript.pyannote[35].end 96.99471875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 98.12534375
transcript.pyannote[36].end 100.62284375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 101.16284375
transcript.pyannote[37].end 104.35221875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 104.57159375
transcript.pyannote[38].end 106.00596875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 106.69784375
transcript.pyannote[39].end 108.28409375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 109.22909375
transcript.pyannote[40].end 109.92096875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 110.86596875
transcript.pyannote[41].end 112.58721875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 113.63346875
transcript.pyannote[42].end 116.67096875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 117.75096875
transcript.pyannote[43].end 119.75909375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 120.68721875
transcript.pyannote[44].end 121.10909375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 122.00346875
transcript.pyannote[45].end 124.78784375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 125.26034375
transcript.pyannote[46].end 127.11659375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 128.28096875
transcript.pyannote[47].end 131.84159375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 132.65159375
transcript.pyannote[48].end 134.17034375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 134.89596875
transcript.pyannote[49].end 140.63346875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 141.57846875
transcript.pyannote[50].end 142.74284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 144.09284375
transcript.pyannote[51].end 144.88596875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 145.45971875
transcript.pyannote[52].end 148.71659375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 148.93596875
transcript.pyannote[53].end 151.97346875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 152.69909375
transcript.pyannote[54].end 154.92659375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 155.70284375
transcript.pyannote[55].end 157.25534375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 157.93034375
transcript.pyannote[56].end 158.92596875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 159.71909375
transcript.pyannote[57].end 164.89971875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 165.59159375
transcript.pyannote[58].end 171.66659375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 172.05471875
transcript.pyannote[59].end 176.91471875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 177.47159375
transcript.pyannote[60].end 182.56784375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 184.27221875
transcript.pyannote[61].end 185.77409375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 186.14534375
transcript.pyannote[62].end 188.32221875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 190.58346875
transcript.pyannote[63].end 193.45221875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 195.56159375
transcript.pyannote[64].end 196.16909375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 196.89471875
transcript.pyannote[65].end 197.46846875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 197.73846875
transcript.pyannote[66].end 198.22784375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 198.88596875
transcript.pyannote[67].end 199.29096875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 200.03346875
transcript.pyannote[68].end 200.94471875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 201.46784375
transcript.pyannote[69].end 203.27346875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 203.96534375
transcript.pyannote[70].end 206.02409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 207.61034375
transcript.pyannote[71].end 210.90096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 212.36909375
transcript.pyannote[72].end 213.12846875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 214.57971875
transcript.pyannote[73].end 220.82346875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 222.13971875
transcript.pyannote[74].end 222.91596875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 223.64159375
transcript.pyannote[75].end 225.10971875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 225.66659375
transcript.pyannote[76].end 229.34534375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 229.51409375
transcript.pyannote[77].end 231.25221875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 231.30284375
transcript.pyannote[78].end 233.86784375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 234.96471875
transcript.pyannote[79].end 236.75346875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 237.58034375
transcript.pyannote[80].end 240.06096875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 240.98909375
transcript.pyannote[81].end 242.40659375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 243.40221875
transcript.pyannote[82].end 246.47346875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 246.96284375
transcript.pyannote[83].end 247.50284375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 248.04284375
transcript.pyannote[84].end 251.45159375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 252.02534375
transcript.pyannote[85].end 254.43846875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 254.82659375
transcript.pyannote[86].end 255.97409375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 256.78409375
transcript.pyannote[87].end 258.04971875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 259.23096875
transcript.pyannote[88].end 261.59346875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 263.21346875
transcript.pyannote[89].end 264.44534375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 265.79534375
transcript.pyannote[90].end 268.02284375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 268.90034375
transcript.pyannote[91].end 273.10221875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 273.37221875
transcript.pyannote[92].end 275.43096875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 276.19034375
transcript.pyannote[93].end 278.82284375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 279.58221875
transcript.pyannote[94].end 280.66221875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 281.05034375
transcript.pyannote[95].end 286.51784375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 287.02409375
transcript.pyannote[96].end 289.96034375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 290.92221875
transcript.pyannote[97].end 294.76971875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 295.64721875
transcript.pyannote[98].end 297.99284375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 300.50721875
transcript.pyannote[99].end 301.60409375
transcript.whisperx[0].start 1.07
transcript.whisperx[0].end 20.206
transcript.whisperx[0].text 文官動石鼓我今天早上在審考試院的預算考試院本來應該就是公務人員最強後盾我看到一個景象讓我非常感慨我們考試院的首長要買車他要編的預算一輛車210萬考試院的副首長也要買車一輛車的預算195萬
transcript.whisperx[1].start 29.551
transcript.whisperx[1].end 37.715
transcript.whisperx[1].text 我跟各位說那主計總署跟我講這是他們調查出來的一個因為要買電動車所以他們調查出來的行情價210萬195萬我不是說今天首長副首長不能買車不能有公務車但是我只說一句話對比今天對於公教我們的公務員我們的退休金砍得刀刀劍骨的今天
transcript.whisperx[2].start 60.902
transcript.whisperx[2].end 83.533
transcript.whisperx[2].text 能看嗎?高官久露臭,文官動死骨,不就這個景象嗎?在這邊我要特別講,我就有兩項主張第一個是公務人員的退休待遇砍得夠了吧?夠了吧?夠了吧?第二個,危勞人員的特殊貢獻應該獲得
transcript.whisperx[3].start 86.24
transcript.whisperx[3].end 112.307
transcript.whisperx[3].text 合理的回應對於錦霄海巡空總移民署這些危牢勤務人員他的退休待遇的保障政府應該要重視我們來看看今天我們所關心的這個所謂的年金改革其實就是公務人員退休金你到底政府要砍多少我說過我沒有反對年金改革
transcript.whisperx[4].start 113.697
transcript.whisperx[4].end 142.481
transcript.whisperx[4].text 我相信很多公務員朋友也沒有反對阿所以當這啟動了5年之後從所得替代率本奉兩倍的75%現在已經砍到67.5了公務員已經被砍了2000多億了血肉都砍去了這邊只不過是請你留下他的股跟金而已阿沒有那麼了不起的要求阿很卑微阿
transcript.whisperx[5].start 144.141
transcript.whisperx[5].end 161.605
transcript.whisperx[5].text 但是呢今天政府告訴我們什麼抱歉啊國家財政困難那我們就來看看國家財政到底是困難到什麼程度國家財政困難到首長必須要買210萬的車好困難欸國家財政困難到副首長要買195萬元的車好困難啊國家財政困難到每年稅收超徵3000億4000億5000億好困難啊
transcript.whisperx[6].start 172.382
transcript.whisperx[6].end 181.827
transcript.whisperx[6].text 國家財政困難到今天就業暗地基金可以變成首長的小金庫幾百萬拿去裝潢幾百萬拿去開演唱會幾百萬拿去做影片開心得不得了啊國家財政真的好困難啊你能夠交代得過去說服得了公務員嗎今天當初我們
transcript.whisperx[7].start 200.069
transcript.whisperx[7].end 205.953
transcript.whisperx[7].text 民進黨政府一直在強調的一件什麼他強調說政府會破產阿如果今天不把公務員砍死政府會破產阿是這樣嗎我舉一個例子我個人主張政府對勞保要負最終的保證責任甚至我主張要入法勞工是政府該要保障的人
transcript.whisperx[8].start 225.851
transcript.whisperx[8].end 247.254
transcript.whisperx[8].text 老保有沒有面臨財務的問題有沒有所謂的破產的問題沒有阿政府跟我講老保不會倒阿賴清德的主張跟我一樣阿政府負擔最終承諾的保證責任阿但我的標準一致阿那為什麼遇到老保今天政府跟我講政府會倒遇到
transcript.whisperx[9].start 248.26
transcript.whisperx[9].end 261.329
transcript.whisperx[9].text 軍公教遇到勞保他就說政府不會打但遇到軍公教遇到我們公務人員他就說政府會打標準有一致嗎最後我還是要非常感慨的說就像我第二點主張除了一般公務人員我們現在我們的政府對待過去締造台灣經濟奇蹟我們社會安定繁榮的公務員
transcript.whisperx[10].start 276.243
transcript.whisperx[10].end 276.603
transcript.whisperx[10].text 好 謝謝羅委員
IVOD_ID 158062
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158062
日期 2024-12-09
會議資料.會議代碼 公聽會-2024120436
會議資料.屆 11
會議資料.會期 2
會議資料.種類 公聽會
會議資料.委員會代碼[0] 36
會議資料.標題 立法院第11屆第2會期司法及法制委員會公聽會(事由:「公務人員退休資遣撫卹法相關法案」公聽會)
影片種類 Clip
開始時間 2024-12-09T15:25:23+08:00
結束時間 2024-12-09T15:30:24+08:00
支援功能[0] ai-transcript