iVOD / 163227

Field Value
IVOD_ID 163227
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163227
日期 2025-07-21
會議資料.會議代碼 委員會-11-3-19-18
會議資料.會議代碼:str 第11屆第3會期經濟委員會第18次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 18
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3會期經濟委員會第18次全體委員會議
影片種類 Clip
開始時間 2025-07-21T12:25:17+08:00
結束時間 2025-07-21T12:38:15+08:00
影片長度 00:12:58
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/03307e70a03ca0b92be46332e07a849abc8bc26138795b0e2d4f4f63d7cb167bce8271213e3fc7bb5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 12:25:17 - 12:38:15
會議時間 2025-07-21T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第18次全體委員會議(事由:邀請經濟部部長、農業部部長、內政部首長及交通部首長就「丹娜絲颱風及0708豪雨災損及回復情形」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 7.28721875
transcript.pyannote[0].end 10.29096875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 10.45971875
transcript.pyannote[1].end 11.50596875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 19.96034375
transcript.pyannote[2].end 20.41596875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 20.82096875
transcript.pyannote[3].end 25.27596875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 25.69784375
transcript.pyannote[4].end 28.21221875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 28.65096875
transcript.pyannote[5].end 32.09346875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 32.61659375
transcript.pyannote[6].end 33.67971875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 34.18596875
transcript.pyannote[7].end 38.03346875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 38.37096875
transcript.pyannote[8].end 39.55221875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 40.05846875
transcript.pyannote[9].end 42.72471875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 43.58534375
transcript.pyannote[10].end 48.32721875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 48.66471875
transcript.pyannote[11].end 49.18784375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 49.96409375
transcript.pyannote[12].end 53.74409375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 55.75221875
transcript.pyannote[13].end 57.00096875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 57.76034375
transcript.pyannote[14].end 58.35096875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 58.60409375
transcript.pyannote[15].end 59.98784375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 60.40971875
transcript.pyannote[16].end 62.83971875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 64.51034375
transcript.pyannote[17].end 65.05034375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 67.04159375
transcript.pyannote[18].end 71.73284375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 72.28971875
transcript.pyannote[19].end 77.18346875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 77.79096875
transcript.pyannote[20].end 78.97221875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 78.97221875
transcript.pyannote[21].end 80.52471875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 81.03096875
transcript.pyannote[22].end 81.79034375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 82.31346875
transcript.pyannote[23].end 84.52409375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 85.13159375
transcript.pyannote[24].end 86.43096875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 87.20721875
transcript.pyannote[25].end 89.04659375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 89.63721875
transcript.pyannote[26].end 90.85221875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 91.29096875
transcript.pyannote[27].end 92.94471875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 93.36659375
transcript.pyannote[28].end 94.80096875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 96.04971875
transcript.pyannote[29].end 96.48846875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 96.87659375
transcript.pyannote[30].end 97.85534375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 98.44596875
transcript.pyannote[31].end 100.79159375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 101.55096875
transcript.pyannote[32].end 102.64784375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 103.03596875
transcript.pyannote[33].end 103.59284375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 104.14971875
transcript.pyannote[34].end 105.49971875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 105.92159375
transcript.pyannote[35].end 107.89596875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 108.68909375
transcript.pyannote[36].end 110.88284375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 111.28784375
transcript.pyannote[37].end 113.21159375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 113.70096875
transcript.pyannote[38].end 114.74721875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 115.47284375
transcript.pyannote[39].end 116.46846875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 116.77221875
transcript.pyannote[40].end 117.80159375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 118.22346875
transcript.pyannote[41].end 119.11784375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 119.80971875
transcript.pyannote[42].end 121.02471875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 121.12596875
transcript.pyannote[43].end 122.17221875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 122.54346875
transcript.pyannote[44].end 123.77534375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 124.28159375
transcript.pyannote[45].end 125.42909375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 125.59784375
transcript.pyannote[46].end 126.62721875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 127.09971875
transcript.pyannote[47].end 129.22596875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 130.13721875
transcript.pyannote[48].end 130.79534375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 131.45346875
transcript.pyannote[49].end 132.07784375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 132.12846875
transcript.pyannote[50].end 132.73596875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 132.73596875
transcript.pyannote[51].end 133.05659375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 133.54596875
transcript.pyannote[52].end 135.13221875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 136.19534375
transcript.pyannote[53].end 139.51971875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 139.68846875
transcript.pyannote[54].end 146.99534375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 142.18596875
transcript.pyannote[55].end 143.50221875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 145.39221875
transcript.pyannote[56].end 148.44659375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 148.63221875
transcript.pyannote[57].end 152.64846875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 149.54346875
transcript.pyannote[58].end 149.88096875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 152.83409375
transcript.pyannote[59].end 154.74096875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 154.82534375
transcript.pyannote[60].end 173.97846875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 157.33971875
transcript.pyannote[61].end 157.60971875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 160.88346875
transcript.pyannote[62].end 161.08596875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 171.24471875
transcript.pyannote[63].end 171.59909375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 173.97846875
transcript.pyannote[64].end 174.87284375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 174.87284375
transcript.pyannote[65].end 174.92346875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 175.26096875
transcript.pyannote[66].end 175.27784375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 175.27784375
transcript.pyannote[67].end 176.91471875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 177.94409375
transcript.pyannote[68].end 179.14221875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 179.73284375
transcript.pyannote[69].end 181.89284375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 182.63534375
transcript.pyannote[70].end 185.95971875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 187.32659375
transcript.pyannote[71].end 188.15346875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 188.99721875
transcript.pyannote[72].end 190.48221875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 191.15721875
transcript.pyannote[73].end 192.52409375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 192.72659375
transcript.pyannote[74].end 194.66721875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 195.35909375
transcript.pyannote[75].end 196.70909375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 197.06346875
transcript.pyannote[76].end 198.97034375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 199.54409375
transcript.pyannote[77].end 200.37096875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 200.87721875
transcript.pyannote[78].end 203.30721875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 203.74596875
transcript.pyannote[79].end 205.88909375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 206.12534375
transcript.pyannote[80].end 208.16721875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 208.53846875
transcript.pyannote[81].end 210.25971875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 210.95159375
transcript.pyannote[82].end 211.86284375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 213.60096875
transcript.pyannote[83].end 214.83284375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 215.00159375
transcript.pyannote[84].end 215.50784375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 215.65971875
transcript.pyannote[85].end 218.10659375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 218.51159375
transcript.pyannote[86].end 220.45221875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 220.87409375
transcript.pyannote[87].end 221.02596875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 221.02596875
transcript.pyannote[88].end 222.24096875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 222.91596875
transcript.pyannote[89].end 222.93284375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 222.93284375
transcript.pyannote[90].end 226.34159375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 226.69596875
transcript.pyannote[91].end 240.55034375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 239.03159375
transcript.pyannote[92].end 240.75284375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 241.12409375
transcript.pyannote[93].end 245.51159375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 245.71409375
transcript.pyannote[94].end 249.64596875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 250.18596875
transcript.pyannote[95].end 250.86096875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 251.18159375
transcript.pyannote[96].end 254.05034375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 254.33721875
transcript.pyannote[97].end 255.13034375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 255.51846875
transcript.pyannote[98].end 257.44221875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 257.83034375
transcript.pyannote[99].end 261.74534375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 262.23471875
transcript.pyannote[100].end 263.83784375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 264.44534375
transcript.pyannote[101].end 267.66846875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 268.27596875
transcript.pyannote[102].end 274.43534375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 274.72221875
transcript.pyannote[103].end 278.46846875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 278.72159375
transcript.pyannote[104].end 280.59471875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 280.98284375
transcript.pyannote[105].end 284.03721875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 284.30721875
transcript.pyannote[106].end 287.91846875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 288.47534375
transcript.pyannote[107].end 292.89659375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 293.62221875
transcript.pyannote[108].end 296.23784375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 296.84534375
transcript.pyannote[109].end 299.14034375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 299.56221875
transcript.pyannote[110].end 302.24534375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 302.68409375
transcript.pyannote[111].end 305.48534375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 305.95784375
transcript.pyannote[112].end 312.43784375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 313.83846875
transcript.pyannote[113].end 319.52534375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 319.96409375
transcript.pyannote[114].end 320.80784375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 320.80784375
transcript.pyannote[115].end 321.38159375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 321.29721875
transcript.pyannote[116].end 322.34346875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 322.29284375
transcript.pyannote[117].end 322.98471875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 322.98471875
transcript.pyannote[118].end 324.04784375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 324.58784375
transcript.pyannote[119].end 325.17846875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 325.68471875
transcript.pyannote[120].end 328.26659375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 328.58721875
transcript.pyannote[121].end 334.22346875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 334.40909375
transcript.pyannote[122].end 340.21409375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 340.55159375
transcript.pyannote[123].end 343.08284375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 343.43721875
transcript.pyannote[124].end 345.93471875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 346.03596875
transcript.pyannote[125].end 346.05284375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 346.06971875
transcript.pyannote[126].end 347.84159375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 348.14534375
transcript.pyannote[127].end 349.44471875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 349.78221875
transcript.pyannote[128].end 352.88721875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 353.17409375
transcript.pyannote[129].end 354.15284375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 354.52409375
transcript.pyannote[130].end 360.22784375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 360.39659375
transcript.pyannote[131].end 363.36659375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 363.61971875
transcript.pyannote[132].end 364.44659375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 364.98659375
transcript.pyannote[133].end 365.76284375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 366.20159375
transcript.pyannote[134].end 371.41596875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 373.64346875
transcript.pyannote[135].end 376.68096875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 377.72721875
transcript.pyannote[136].end 379.80284375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 381.11909375
transcript.pyannote[137].end 383.32971875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 383.63346875
transcript.pyannote[138].end 384.76409375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 385.94534375
transcript.pyannote[139].end 388.22346875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 388.51034375
transcript.pyannote[140].end 391.64909375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 391.76721875
transcript.pyannote[141].end 393.01596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 393.87659375
transcript.pyannote[142].end 395.09159375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 396.08721875
transcript.pyannote[143].end 397.67346875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 397.67346875
transcript.pyannote[144].end 397.69034375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 397.69034375
transcript.pyannote[145].end 397.75784375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 397.75784375
transcript.pyannote[146].end 397.77471875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 397.77471875
transcript.pyannote[147].end 398.07846875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 398.46659375
transcript.pyannote[148].end 398.53409375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 398.53409375
transcript.pyannote[149].end 398.58471875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 398.58471875
transcript.pyannote[150].end 398.65221875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 398.65221875
transcript.pyannote[151].end 398.73659375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 398.73659375
transcript.pyannote[152].end 398.75346875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 399.54659375
transcript.pyannote[153].end 400.37346875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 400.86284375
transcript.pyannote[154].end 401.77409375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 402.93846875
transcript.pyannote[155].end 403.68096875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 404.03534375
transcript.pyannote[156].end 407.30909375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 408.86159375
transcript.pyannote[157].end 409.72221875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 410.14409375
transcript.pyannote[158].end 411.79784375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 413.28284375
transcript.pyannote[159].end 414.02534375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 414.02534375
transcript.pyannote[160].end 416.77596875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 417.65346875
transcript.pyannote[161].end 422.41221875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 419.15534375
transcript.pyannote[162].end 420.20159375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 421.07909375
transcript.pyannote[163].end 422.15909375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 422.41221875
transcript.pyannote[164].end 422.91846875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 422.91846875
transcript.pyannote[165].end 423.57659375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 423.82971875
transcript.pyannote[166].end 430.90034375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 423.88034375
transcript.pyannote[167].end 424.69034375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 425.51721875
transcript.pyannote[168].end 425.68596875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 429.58409375
transcript.pyannote[169].end 431.67659375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 432.33471875
transcript.pyannote[170].end 432.43596875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 432.43596875
transcript.pyannote[171].end 432.48659375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 432.48659375
transcript.pyannote[172].end 432.50346875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 432.50346875
transcript.pyannote[173].end 432.52034375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 432.52034375
transcript.pyannote[174].end 433.39784375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 433.71846875
transcript.pyannote[175].end 437.56596875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 438.12284375
transcript.pyannote[176].end 438.25784375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 438.25784375
transcript.pyannote[177].end 439.13534375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 438.29159375
transcript.pyannote[178].end 438.35909375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 439.48971875
transcript.pyannote[179].end 439.82721875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 439.82721875
transcript.pyannote[180].end 441.51471875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 441.68346875
transcript.pyannote[181].end 443.86034375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 444.18096875
transcript.pyannote[182].end 457.56284375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 458.15346875
transcript.pyannote[183].end 459.77346875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 460.34721875
transcript.pyannote[184].end 461.39346875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 461.57909375
transcript.pyannote[185].end 465.76409375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 466.13534375
transcript.pyannote[186].end 472.00784375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 472.91909375
transcript.pyannote[187].end 475.48409375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 476.24346875
transcript.pyannote[188].end 477.22221875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 477.61034375
transcript.pyannote[189].end 479.92221875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 480.69846875
transcript.pyannote[190].end 482.77409375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 483.17909375
transcript.pyannote[191].end 484.95096875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 485.49096875
transcript.pyannote[192].end 486.95909375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 487.39784375
transcript.pyannote[193].end 491.51534375
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 491.86971875
transcript.pyannote[194].end 493.23659375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 493.23659375
transcript.pyannote[195].end 493.27034375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 493.27034375
transcript.pyannote[196].end 493.28721875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 493.28721875
transcript.pyannote[197].end 493.94534375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 493.94534375
transcript.pyannote[198].end 494.95784375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 495.29534375
transcript.pyannote[199].end 497.65784375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 500.17221875
transcript.pyannote[200].end 500.84721875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 501.47159375
transcript.pyannote[201].end 503.42909375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 504.01971875
transcript.pyannote[202].end 506.28096875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 506.83784375
transcript.pyannote[203].end 507.39471875
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 507.93471875
transcript.pyannote[204].end 509.47034375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 510.02721875
transcript.pyannote[205].end 510.75284375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 511.14096875
transcript.pyannote[206].end 515.25846875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 515.69721875
transcript.pyannote[207].end 518.34659375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 518.86971875
transcript.pyannote[208].end 520.59096875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 520.97909375
transcript.pyannote[209].end 522.12659375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 522.53159375
transcript.pyannote[210].end 523.59471875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 524.25284375
transcript.pyannote[211].end 528.28596875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 529.09596875
transcript.pyannote[212].end 533.21346875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 532.25159375
transcript.pyannote[213].end 533.55096875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 533.55096875
transcript.pyannote[214].end 533.70284375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 533.75346875
transcript.pyannote[215].end 533.78721875
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 533.78721875
transcript.pyannote[216].end 533.85471875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 533.85471875
transcript.pyannote[217].end 534.96846875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 534.96846875
transcript.pyannote[218].end 535.08659375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 535.47471875
transcript.pyannote[219].end 535.49159375
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 535.49159375
transcript.pyannote[220].end 537.17909375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 537.92159375
transcript.pyannote[221].end 540.03096875
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 540.03096875
transcript.pyannote[222].end 540.43596875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 540.43596875
transcript.pyannote[223].end 540.46971875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 540.46971875
transcript.pyannote[224].end 540.50346875
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 540.50346875
transcript.pyannote[225].end 540.89159375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 540.89159375
transcript.pyannote[226].end 545.07659375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 545.36346875
transcript.pyannote[227].end 553.32846875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 552.31596875
transcript.pyannote[228].end 552.83909375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 553.53096875
transcript.pyannote[229].end 564.58409375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 565.12409375
transcript.pyannote[230].end 568.11096875
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 568.11096875
transcript.pyannote[231].end 568.60034375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 568.60034375
transcript.pyannote[232].end 568.75221875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 569.08971875
transcript.pyannote[233].end 569.10659375
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 569.10659375
transcript.pyannote[234].end 569.83221875
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 570.42284375
transcript.pyannote[235].end 571.85721875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 572.53221875
transcript.pyannote[236].end 576.73409375
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 577.08846875
transcript.pyannote[237].end 578.30346875
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 578.67471875
transcript.pyannote[238].end 579.99096875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 579.99096875
transcript.pyannote[239].end 581.86409375
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 580.59846875
transcript.pyannote[240].end 584.10846875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 584.69909375
transcript.pyannote[241].end 585.54284375
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 587.92221875
transcript.pyannote[242].end 589.32284375
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 590.25096875
transcript.pyannote[243].end 591.88784375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 592.46159375
transcript.pyannote[244].end 594.90846875
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 595.71846875
transcript.pyannote[245].end 598.08096875
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 600.00471875
transcript.pyannote[246].end 600.79784375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 601.50659375
transcript.pyannote[247].end 602.19846875
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 602.48534375
transcript.pyannote[248].end 604.02096875
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 604.39221875
transcript.pyannote[249].end 607.15971875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 608.27346875
transcript.pyannote[250].end 610.33221875
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 611.02409375
transcript.pyannote[251].end 613.13346875
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 614.01096875
transcript.pyannote[252].end 615.52971875
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 616.05284375
transcript.pyannote[253].end 616.91346875
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 617.20034375
transcript.pyannote[254].end 619.22534375
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 619.54596875
transcript.pyannote[255].end 620.67659375
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 620.67659375
transcript.pyannote[256].end 620.71034375
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 620.98034375
transcript.pyannote[257].end 621.03096875
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 621.03096875
transcript.pyannote[258].end 622.76909375
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 623.68034375
transcript.pyannote[259].end 632.38784375
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 631.00409375
transcript.pyannote[260].end 632.99534375
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 632.75909375
transcript.pyannote[261].end 632.86034375
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 632.99534375
transcript.pyannote[262].end 649.33034375
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 636.97784375
transcript.pyannote[263].end 637.55159375
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 646.76534375
transcript.pyannote[264].end 651.84471875
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 651.84471875
transcript.pyannote[265].end 662.57721875
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 652.28346875
transcript.pyannote[266].end 653.04284375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 663.92721875
transcript.pyannote[267].end 663.94409375
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 663.94409375
transcript.pyannote[268].end 665.17596875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 666.81284375
transcript.pyannote[269].end 669.47909375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 670.32284375
transcript.pyannote[270].end 672.11159375
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 673.25909375
transcript.pyannote[271].end 675.11534375
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 675.67221875
transcript.pyannote[272].end 676.90409375
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 677.07284375
transcript.pyannote[273].end 679.16534375
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 679.75596875
transcript.pyannote[274].end 680.70096875
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 681.13971875
transcript.pyannote[275].end 683.58659375
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 683.73846875
transcript.pyannote[276].end 687.02909375
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 684.95346875
transcript.pyannote[277].end 685.64534375
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 685.91534375
transcript.pyannote[278].end 686.64096875
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 687.88971875
transcript.pyannote[279].end 690.96096875
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 691.16346875
transcript.pyannote[280].end 692.14221875
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 692.78346875
transcript.pyannote[281].end 728.67659375
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 696.37784375
transcript.pyannote[282].end 697.60971875
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 699.65159375
transcript.pyannote[283].end 701.65971875
transcript.pyannote[284].speaker SPEAKER_00
transcript.pyannote[284].start 712.47659375
transcript.pyannote[284].end 712.62846875
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 720.01971875
transcript.pyannote[285].end 720.03659375
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 720.03659375
transcript.pyannote[286].end 720.23909375
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 721.80846875
transcript.pyannote[287].end 722.98971875
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 723.85034375
transcript.pyannote[288].end 724.03596875
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 725.09909375
transcript.pyannote[289].end 725.55471875
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 726.16221875
transcript.pyannote[290].end 726.93846875
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 729.11534375
transcript.pyannote[291].end 730.17846875
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 731.12346875
transcript.pyannote[292].end 733.13159375
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 733.23284375
transcript.pyannote[293].end 734.32971875
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 735.13971875
transcript.pyannote[294].end 741.83909375
transcript.pyannote[295].speaker SPEAKER_02
transcript.pyannote[295].start 738.21096875
transcript.pyannote[295].end 739.32471875
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 739.57784375
transcript.pyannote[296].end 742.56471875
transcript.pyannote[297].speaker SPEAKER_02
transcript.pyannote[297].start 743.27346875
transcript.pyannote[297].end 746.85096875
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 747.76221875
transcript.pyannote[298].end 748.72409375
transcript.pyannote[299].speaker SPEAKER_02
transcript.pyannote[299].start 750.37784375
transcript.pyannote[299].end 751.84596875
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 752.47034375
transcript.pyannote[300].end 754.64721875
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 754.64721875
transcript.pyannote[301].end 766.83096875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 754.66409375
transcript.pyannote[302].end 755.11971875
transcript.pyannote[303].speaker SPEAKER_02
transcript.pyannote[303].start 766.83096875
transcript.pyannote[303].end 767.72534375
transcript.pyannote[304].speaker SPEAKER_02
transcript.pyannote[304].start 767.97846875
transcript.pyannote[304].end 769.91909375
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 770.32409375
transcript.pyannote[305].end 775.55534375
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 771.18471875
transcript.pyannote[306].end 772.75409375
transcript.pyannote[307].speaker SPEAKER_02
transcript.pyannote[307].start 776.53409375
transcript.pyannote[307].end 777.36096875
transcript.whisperx[0].start 7.742
transcript.whisperx[0].end 9.989
transcript.whisperx[0].text 謝謝主席 有請經濟部部長 農業部部長郭部長 陳部長
transcript.whisperx[1].start 19.997
transcript.whisperx[1].end 48.969
transcript.whisperx[1].text 兩位部長好 時間的關係直接進入 上個禮拜衛環委員會我們非常關心在風災之後光電板對環境所造成的污染那特別在新聞那邊的志宏池 我直接問當時的次長說清理完了沒有結果他跟我說99%清理完了那官員在國會裡面詢問我基本上都是採取信任的態度但是
transcript.whisperx[2].start 49.997
transcript.whisperx[2].end 75.987
transcript.whisperx[2].text 我從嘉義那邊所得到的陳情完全不是這麼回事我第二天找人去看這個是第二天回來的照片這是哪門子的99%清理完成請部長報告委員我想這個這一部分我們大概你所這個隨行的部分應該是我們在聽起來是岸邊不對
transcript.whisperx[3].start 77.83
transcript.whisperx[3].end 100.553
transcript.whisperx[3].text 那天講得很清楚 我關心的就是志宏慈他事後要怎麼發新聞稿 文過是非那個是他個人的問題尋答的內容清清楚楚在立法院裡面全部全程轉播所有的人都可以公平部長 你不是本人你不是本人 所以我郭不會要你背
transcript.whisperx[4].start 101.584
transcript.whisperx[4].end 130.485
transcript.whisperx[4].text 但我要拜託部長回去請經濟部的官員事情是怎麼樣就怎麼樣該怎麼回答就怎麼回答不清楚就說不清楚但是不要欺騙但是不要欺騙你只要欺騙都會被打臉我那天臉書PO完了以後媒體跟進報導拍出來的照片大概是這個樣子這個叫99%清理完成報告委員
transcript.whisperx[5].start 131.499
transcript.whisperx[5].end 158.915
transcript.whisperx[5].text 我可以說嗎?可以,請這個案場我也去看了這個案場不是你拍就你拍的這個部分是沒有錯這個有多大你知道嗎?我知道所以我後來秀106個足球場那麼大是,所以我後來秀媒體的空拍圖給你看嘛第二個是第二個,這個地方要清楚啊我們前面12天因為台電在復電的需求是所以都是台電在做
transcript.whisperx[6].start 159.415
transcript.whisperx[6].end 187.511
transcript.whisperx[6].text 他根本沒有辦法清出來但是我們把外圍的外圍都已經清好了就是裡面的這個池子裡面的我們還沒有清你說的都沒有問題啊現在我在質疑的事情是那一天經濟部的次長大衛環委員會如同您今天所講的這個樣子事情是怎麼樣老老實實的跟大家講清楚就好了嗎我有說錯嗎
transcript.whisperx[7].start 189.039
transcript.whisperx[7].end 211.942
transcript.whisperx[7].text 他那天不是這樣回答的耶斬釘截鐵的說99%清理完成了我從當地那邊所得到的檢舉就不是這樣啊我為了怕經濟部說我只拍小部分我還特別7月18號媒體去現場看的空拍圖我秀出來對比給大家看我只有一個point
transcript.whisperx[8].start 213.826
transcript.whisperx[8].end 239.483
transcript.whisperx[8].text 請你需要時間但現實的狀況是怎麼樣就是怎麼樣不要文過是非不要說謊這樣的要求很過分嗎我想委員你說的我們絕對不會文過是非我想我們的市長也不是第一天來當市長是他應該要怎麼回答他非常的清楚是我想這裡面大概大家彼此有一點誤會是我們認為可能是外部沒有關係今天
transcript.whisperx[9].start 241.204
transcript.whisperx[9].end 267.485
transcript.whisperx[9].text 部長要用誤會來解釋沒有關係您就這樣解釋我只希望這種誤會未來不要再發生再往下看今年我們在省中央政府總預算的時候我們為了要尊潔支出特別不要讓政府拿納稅人的錢去搞大內宣我們針對沒宣費啊針對沒宣費統三了百分之六十
transcript.whisperx[10].start 268.345
transcript.whisperx[10].end 295.465
transcript.whisperx[10].text 那統三的60%以後各部會接下來執行的狀況如何我當然會去追嘛那依照預算法相關的規定各個部會每一季沒宣費的費用都要公告那我公告我稍微看了一下就是說我們以去年的Q1跟今年的Q1來比行政機關指的是經濟部本部跟其他相關的機關Q1的沒宣費大概花了600多萬
transcript.whisperx[11].start 296.906
transcript.whisperx[11].end 311.918
transcript.whisperx[11].text 然後去年的Q1花了400多萬那我看了這個數字以後我覺得有點奇怪那怎麼刪了60%你們Q1花的錢比去年的Q1還多是你們集中把沒宣費都擠到第一季還是有經費流用的狀況
transcript.whisperx[12].start 314.051
transcript.whisperx[12].end 332.739
transcript.whisperx[12].text 這個部分我要了解一下 要了解一下嗎 好沒有關係 那我請部長回去了解一下以後把數字給我可以嗎 可以 一個禮拜夠不夠 可以可以嗎 好下來那從經濟部的做法就會知道主管機關應該按月公開媒體宣傳業務的主題跟金額 這個是當初
transcript.whisperx[13].start 334.6
transcript.whisperx[13].end 352.67
transcript.whisperx[13].text 在修訂預算法62條之一的時候那大家希望能夠貫徹的價值啊因為在當代的民主法治國家當中邊預算邊預算來進行媒體宣傳怎麼樣避免進行所謂置入性的行銷甚至養媒體這種亂象
transcript.whisperx[14].start 354.811
transcript.whisperx[14].end 379.709
transcript.whisperx[14].text 過去這麼多年 納稅人非常關心 批評也很強烈那最起碼經濟部 做到一件事情我肯定你們都有依法 公布金額那金額數字 剛剛我所提出來的問題 再請部長回去了解接下來請農業部部長農業部有遵守預算法62條之一的規定嗎您說的是媒體的部分是不是 是
transcript.whisperx[15].start 381.141
transcript.whisperx[15].end 405.944
transcript.whisperx[15].text 我相信我們的同仁應該會遵守那如果沒有遵守呢我這個我必須了解了解他們所謂的您說的沒有遵守的部分是哪一個項目就最簡單的吧你們有按記公告嗎有有有按記公告有來我今天早上來質詢前我還在去看農業部本部沒有公布114年媒體宣傳費
transcript.whisperx[16].start 408.882
transcript.whisperx[16].end 437.367
transcript.whisperx[16].text 阿你為什麼說有?是剛剛突然補上去嗎?這個是今天早上的解讀OK我想這個部分我想應該要按計公告 當然要嘛所以如果沒有的話 我現在就問你為什麼沒有嘛我不知道 你不知道 我要去了解好沒有關係 需要多少時間了解這個下午我馬上就可以了解了下午馬上了解 好下午下班以前為什麼沒有公告?為什麼沒有公告?下午下班以前書面回覆
transcript.whisperx[17].start 438.377
transcript.whisperx[17].end 465.504
transcript.whisperx[17].text 有沒有問題可以不要到時候承辦人又打電話到我辦公室說我們都已經公文簽出去了長官不在沒有辦法回覆簽出來拜託再等一等又不曉得要拖到什麼時候我想我回應一定是說下班以前回覆沒有問題嗎可以因為按照規定即使你半毛都沒有花都應該要公告說我半毛都沒有花
transcript.whisperx[18].start 466.212
transcript.whisperx[18].end 475.248
transcript.whisperx[18].text 我也要確認 是不是真的半毛都沒有花所以才沒有公告 我還下去找我透過我們的標案系統看 不是啊
transcript.whisperx[19].start 476.297
transcript.whisperx[19].end 497.13
transcript.whisperx[19].text 你們農業部 華市 民視 三立通通都有今年執行的案子啊為什麼沒有依法公告他納稅的人知道嗎這種依法應該要做的事情就要做啦這個我相信部長應該不會否認啦回去搞清楚為什麼該做沒有做我下一個問題
transcript.whisperx[20].start 500.43
transcript.whisperx[20].end 527.851
transcript.whisperx[20].text 當初啊 我們的前同事蘇志芬委員給他接中央續產會的董事長一堆酬庸的批評都出來那當然 你們說這個是借重償財啊 推動改革給他一年年薪將近三百萬中央續產會的董事長這樣的位置去做現在我只有個問題中央續產會董事長他的業務繁不繁重 還是很閒
transcript.whisperx[21].start 529.144
transcript.whisperx[21].end 553.079
transcript.whisperx[21].text 我想中央區長會是負責整個的是我知道他負責什麼現在我只關心他是整天沒事幹嗎還是業務很繁重一年領三百萬到底在幹些什麼事情我跟委員報告就是中央區長會特別我邀請他來以後希望說他第一個針對整個區長會的制度上面做一個精進跟改革第二個部分是
transcript.whisperx[22].start 554.26
transcript.whisperx[22].end 564.416
transcript.whisperx[22].text 針對現在目前比較重要的豬跟雞的整個的產銷我希望說他能夠建立一個有效的一個系統所以我相信他一定是積極在處理這方面的事情所以他工作反不反送
transcript.whisperx[23].start 565.188
transcript.whisperx[23].end 582.072
transcript.whisperx[23].text 我想我沒有辦法代替他回答沒有辦法代替他回答因為如果啦看你們編的預算嘛一年大概他薪資的部分大概變了284萬嘛有的沒有加起來啦大概是這個薪水這個薪水不能說低但我現在的問題是什麼來看一下我去雲林的時候
transcript.whisperx[24].start 590.85
transcript.whisperx[24].end 612.637
transcript.whisperx[24].text 鄉親給我的投訴是中央續產會董事長很閒是不是一天到晚在雲林裡面搞大罷免你晚上假日你自己休息的時間你有你的政治主張自由我沒意見中央續產會的辦公室是在雲林嗎還是董事長不用進辦公室沒關係
transcript.whisperx[25].start 614.082
transcript.whisperx[25].end 620.371
transcript.whisperx[25].text 一天不得分零下不大罷免還有上班的時間在這樣搞的部長 適合嗎還是這是農業部鼓勵的
transcript.whisperx[26].start 623.715
transcript.whisperx[26].end 647.198
transcript.whisperx[26].text 我想第一個部分以農業部來講我們農業部部本部本身包括我們所屬工研系的行政中立中央市場會需不需要行政中立這個法人的部分就不需要沒有我還沒有講完法人的部分其實我們也希望說他在正式上班時間的時候是一個行政中立那私底下他的任何的行為這我剛講過了嘛
transcript.whisperx[27].start 648.419
transcript.whisperx[27].end 671.191
transcript.whisperx[27].text 阿如果上班的時間跑去宣傳大罷免 農業部要不要處理是嗎不是 上班的時間 這個牽涉到因為我們人都有可以有請假我現在不瞭解他實際的那個沒關係阿 你去瞭解清楚嘛我會有這些照片就雲林的鄉親我去雲林的時候跟我投訴阿所以我們中央續產會很閒阿
transcript.whisperx[28].start 673.305
transcript.whisperx[28].end 686.505
transcript.whisperx[28].text 一天到晚在雲林搞大罷免你納稅人的錢在幹這種事情適合嗎?真的適合嗎?請部長回去了解一下可以嗎?我可以可以去了解可以齁可以去了解需要多少時間?
transcript.whisperx[29].start 687.935
transcript.whisperx[29].end 706.658
transcript.whisperx[29].text 一樣下班以前回覆可以嗎沒有辦法喔因為需要多久等726搞完以後再回覆嗎我必須了解沒關係你需要多久我現在沒辦法很確定的告訴你所以需要多久你也沒辦法跟我講續產會有續產會我們所有的需要資料都是續產會都要用公開的方式去
transcript.whisperx[30].start 707.678
transcript.whisperx[30].end 734.188
transcript.whisperx[30].text 他不是我們直屬的公務系統可以馬上一通電話就可以搞定所以相對的他本身你所提到他在上班時間做一些其他的非上班的業務那這個部分他們也要去了解所以這個了解我不知道要多久嘛我現在沒有辦法確定很有可能726以後才會有答案嘛對我來講我沒有726這種概念最好是沒有啦你納稅人的錢搞這種事啊我看不下去啦
transcript.whisperx[31].start 735.213
transcript.whisperx[31].end 748.585
transcript.whisperx[31].text 我看不下去啊你要不然你要不然你要不然就回家吃自己你拿納稅人的錢上班時間在搞這種事情這什麼政府啊
transcript.whisperx[32].start 750.558
transcript.whisperx[32].end 775.077
transcript.whisperx[32].text 這哪門是行政中立啊納稅人付錢給你薪水是在幹這種事齁我現在不了解但是相對他如果是請假的方式齁那相對的請假以外的事情是他個人的事情所以在我還沒有了解他實際的狀況之下我不做任何的一個評論沒關係啊 那我就等啊等農業部看什麼時候回覆啦不管726之前還是726之後這件事情我一定會追究到底好 謝謝好 謝謝