iVOD / 168677

Field Value
IVOD_ID 168677
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168677
日期 2026-04-22
會議資料.會議代碼 委員會-11-5-19-10
會議資料.會議代碼:str 第11屆第5會期經濟委員會第10次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 10
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5會期經濟委員會第10次全體委員會議
影片種類 Clip
開始時間 2026-04-22T09:46:36+08:00
結束時間 2026-04-22T09:56:39+08:00
影片長度 00:10:03
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5b5880b40c5769f1f5766b222ebf55a963812774c6aab6af29d978cd518bf5948a3d5adc657703f85ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 09:46:36 - 09:56:39
會議時間 2026-04-22T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第10次全體委員會議(事由:一、審查115年度中央政府總預算案關於經濟部及所屬單位預算部分。 二、審查115年度中央政府總預算案直轄市及縣市政府一般性補助款經濟部主管部分預算。 (以上二案僅詢答) 【4月22日及23日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 4.48596875
transcript.pyannote[0].end 7.72596875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 17.49659375
transcript.pyannote[1].end 18.03659375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 18.37409375
transcript.pyannote[2].end 22.60971875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 22.96409375
transcript.pyannote[3].end 27.38534375
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 25.86659375
transcript.pyannote[4].end 26.55846875
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 27.30096875
transcript.pyannote[5].end 28.53284375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 27.68909375
transcript.pyannote[6].end 30.16971875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 30.64221875
transcript.pyannote[7].end 31.77284375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 33.71346875
transcript.pyannote[8].end 34.86096875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 35.21534375
transcript.pyannote[9].end 38.43846875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 38.67471875
transcript.pyannote[10].end 47.34846875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 47.70284375
transcript.pyannote[11].end 57.13596875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 57.23721875
transcript.pyannote[12].end 65.35409375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 65.43846875
transcript.pyannote[13].end 71.07471875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 71.19284375
transcript.pyannote[14].end 72.00284375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 72.52596875
transcript.pyannote[15].end 77.45346875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 78.07784375
transcript.pyannote[16].end 80.15346875
transcript.pyannote[17].speaker SPEAKER_04
transcript.pyannote[17].start 80.74409375
transcript.pyannote[17].end 82.75221875
transcript.pyannote[18].speaker SPEAKER_04
transcript.pyannote[18].start 82.88721875
transcript.pyannote[18].end 84.89534375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 84.89534375
transcript.pyannote[19].end 86.59971875
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 87.03846875
transcript.pyannote[20].end 88.79346875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 88.79346875
transcript.pyannote[21].end 94.14284375
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 89.70471875
transcript.pyannote[22].end 89.90721875
transcript.pyannote[23].speaker SPEAKER_04
transcript.pyannote[23].start 94.27784375
transcript.pyannote[23].end 95.00346875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 95.00346875
transcript.pyannote[24].end 96.55596875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 96.85971875
transcript.pyannote[25].end 104.97659375
transcript.pyannote[26].speaker SPEAKER_04
transcript.pyannote[26].start 104.97659375
transcript.pyannote[26].end 105.70221875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 105.70221875
transcript.pyannote[27].end 105.71909375
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 105.71909375
transcript.pyannote[28].end 110.10659375
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 110.42721875
transcript.pyannote[29].end 110.78159375
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 110.84909375
transcript.pyannote[30].end 110.86596875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 110.86596875
transcript.pyannote[31].end 111.05159375
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 111.27096875
transcript.pyannote[32].end 111.89534375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 111.40596875
transcript.pyannote[33].end 113.83596875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 114.12284375
transcript.pyannote[34].end 117.27846875
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 117.27846875
transcript.pyannote[35].end 117.54846875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 117.54846875
transcript.pyannote[36].end 118.03784375
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 117.70034375
transcript.pyannote[37].end 118.96596875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 119.21909375
transcript.pyannote[38].end 123.67409375
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 121.02471875
transcript.pyannote[39].end 121.66596875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 121.66596875
transcript.pyannote[40].end 121.76721875
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 121.76721875
transcript.pyannote[41].end 121.81784375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 121.81784375
transcript.pyannote[42].end 122.25659375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 122.25659375
transcript.pyannote[43].end 122.56034375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 122.56034375
transcript.pyannote[44].end 122.57721875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 123.79221875
transcript.pyannote[45].end 128.06159375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 128.11221875
transcript.pyannote[46].end 129.79971875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 129.83346875
transcript.pyannote[47].end 129.86721875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 129.88409375
transcript.pyannote[48].end 131.70659375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 131.85846875
transcript.pyannote[49].end 133.95096875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 134.94659375
transcript.pyannote[50].end 134.96346875
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 134.96346875
transcript.pyannote[51].end 146.86034375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 141.91596875
transcript.pyannote[52].end 142.55721875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 144.93659375
transcript.pyannote[53].end 147.99096875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 147.99096875
transcript.pyannote[54].end 148.53096875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 148.02471875
transcript.pyannote[55].end 150.55596875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 148.53096875
transcript.pyannote[56].end 148.69971875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 148.69971875
transcript.pyannote[57].end 148.96971875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 148.96971875
transcript.pyannote[58].end 149.12159375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 152.09159375
transcript.pyannote[59].end 152.49659375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 152.88471875
transcript.pyannote[60].end 156.04034375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 156.09096875
transcript.pyannote[61].end 158.74034375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 158.85846875
transcript.pyannote[62].end 161.98034375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 160.02284375
transcript.pyannote[63].end 160.64721875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 162.11534375
transcript.pyannote[64].end 163.22909375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 163.51596875
transcript.pyannote[65].end 166.28346875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 164.84909375
transcript.pyannote[66].end 166.40159375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 166.48596875
transcript.pyannote[67].end 168.61221875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 168.61221875
transcript.pyannote[68].end 168.81471875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 168.81471875
transcript.pyannote[69].end 171.48096875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 171.61596875
transcript.pyannote[70].end 171.95346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 172.27409375
transcript.pyannote[71].end 172.96596875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 172.96596875
transcript.pyannote[72].end 181.67346875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 175.75034375
transcript.pyannote[73].end 175.91909375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 181.77471875
transcript.pyannote[74].end 183.36096875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 182.82096875
transcript.pyannote[75].end 184.03596875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 184.08659375
transcript.pyannote[76].end 186.61784375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 187.46159375
transcript.pyannote[77].end 188.35596875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 188.71034375
transcript.pyannote[78].end 192.18659375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 192.18659375
transcript.pyannote[79].end 192.45659375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 193.72221875
transcript.pyannote[80].end 197.09721875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 197.87346875
transcript.pyannote[81].end 200.60721875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 200.64096875
transcript.pyannote[82].end 201.85596875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 202.12596875
transcript.pyannote[83].end 203.08784375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 203.29034375
transcript.pyannote[84].end 205.21409375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 205.80471875
transcript.pyannote[85].end 207.22221875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 207.62721875
transcript.pyannote[86].end 209.04471875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 209.63534375
transcript.pyannote[87].end 211.76159375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 212.18346875
transcript.pyannote[88].end 212.75721875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 213.16221875
transcript.pyannote[89].end 222.27471875
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 222.27471875
transcript.pyannote[90].end 222.62909375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 222.62909375
transcript.pyannote[91].end 223.03409375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 223.28721875
transcript.pyannote[92].end 225.76784375
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 224.45159375
transcript.pyannote[93].end 239.04846875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 229.54784375
transcript.pyannote[94].end 230.15534375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 231.87659375
transcript.pyannote[95].end 231.92721875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 231.92721875
transcript.pyannote[96].end 231.94409375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 232.26471875
transcript.pyannote[97].end 232.83846875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 237.88409375
transcript.pyannote[98].end 269.62596875
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 270.40221875
transcript.pyannote[99].end 271.38096875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 271.38096875
transcript.pyannote[100].end 277.11846875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 277.33784375
transcript.pyannote[101].end 278.24909375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 278.38409375
transcript.pyannote[102].end 281.84346875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 282.11346875
transcript.pyannote[103].end 300.15284375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 300.74346875
transcript.pyannote[104].end 305.09721875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 305.50221875
transcript.pyannote[105].end 308.18534375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 307.78034375
transcript.pyannote[106].end 307.93221875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 307.93221875
transcript.pyannote[107].end 308.01659375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 308.01659375
transcript.pyannote[108].end 308.05034375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 308.05034375
transcript.pyannote[109].end 308.08409375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 308.57346875
transcript.pyannote[110].end 313.06221875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 308.84346875
transcript.pyannote[111].end 309.36659375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 310.85159375
transcript.pyannote[112].end 311.29034375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 313.06221875
transcript.pyannote[113].end 315.66096875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 315.69471875
transcript.pyannote[114].end 321.36471875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 321.65159375
transcript.pyannote[115].end 322.47846875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 324.18284375
transcript.pyannote[116].end 327.82784375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 328.38471875
transcript.pyannote[117].end 340.07909375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 331.75971875
transcript.pyannote[118].end 332.33346875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 333.86909375
transcript.pyannote[119].end 333.91971875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 333.91971875
transcript.pyannote[120].end 334.84784375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 335.60721875
transcript.pyannote[121].end 338.23971875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 340.07909375
transcript.pyannote[122].end 342.34034375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 342.64409375
transcript.pyannote[123].end 346.79534375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 347.23409375
transcript.pyannote[124].end 349.20846875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 349.71471875
transcript.pyannote[125].end 350.01846875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 350.45721875
transcript.pyannote[126].end 352.44846875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 352.51596875
transcript.pyannote[127].end 354.20346875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 354.49034375
transcript.pyannote[128].end 355.68846875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 355.80659375
transcript.pyannote[129].end 356.93721875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 357.78096875
transcript.pyannote[130].end 358.16909375
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 358.16909375
transcript.pyannote[131].end 359.08034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 359.08034375
transcript.pyannote[132].end 360.81846875
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 361.72971875
transcript.pyannote[133].end 362.59034375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 362.59034375
transcript.pyannote[134].end 363.38346875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 363.53534375
transcript.pyannote[135].end 369.72846875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 370.28534375
transcript.pyannote[136].end 372.17534375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 372.17534375
transcript.pyannote[137].end 374.11596875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 372.58034375
transcript.pyannote[138].end 373.33971875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 373.47471875
transcript.pyannote[139].end 374.70659375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 375.22971875
transcript.pyannote[140].end 382.51971875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 382.77284375
transcript.pyannote[141].end 385.18596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 385.38846875
transcript.pyannote[142].end 387.27846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 387.37971875
transcript.pyannote[143].end 388.08846875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 388.08846875
transcript.pyannote[144].end 388.22346875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 388.22346875
transcript.pyannote[145].end 388.35846875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 388.35846875
transcript.pyannote[146].end 389.35409375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 389.65784375
transcript.pyannote[147].end 389.69159375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 389.69159375
transcript.pyannote[148].end 394.58534375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 393.13409375
transcript.pyannote[149].end 400.77846875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 401.04846875
transcript.pyannote[150].end 404.01846875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 404.44034375
transcript.pyannote[151].end 407.93346875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 408.16971875
transcript.pyannote[152].end 408.96284375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 409.36784375
transcript.pyannote[153].end 411.30846875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 411.49409375
transcript.pyannote[154].end 414.10971875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 414.14346875
transcript.pyannote[155].end 416.05034375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 416.20221875
transcript.pyannote[156].end 417.07971875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 417.16409375
transcript.pyannote[157].end 418.37909375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 418.56471875
transcript.pyannote[158].end 419.47596875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 419.86409375
transcript.pyannote[159].end 420.50534375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 420.89346875
transcript.pyannote[160].end 426.34409375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 426.52971875
transcript.pyannote[161].end 428.23409375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 428.70659375
transcript.pyannote[162].end 430.00596875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 430.12409375
transcript.pyannote[163].end 434.30909375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 434.59596875
transcript.pyannote[164].end 436.11471875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 436.46909375
transcript.pyannote[165].end 437.19471875
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 437.19471875
transcript.pyannote[166].end 437.21159375
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 437.80221875
transcript.pyannote[167].end 442.03784375
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 442.35846875
transcript.pyannote[168].end 452.97284375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 449.09159375
transcript.pyannote[169].end 450.07034375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 452.97284375
transcript.pyannote[170].end 473.15534375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 462.45659375
transcript.pyannote[171].end 462.47346875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 462.47346875
transcript.pyannote[172].end 462.52409375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 462.52409375
transcript.pyannote[173].end 462.54096875
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 473.52659375
transcript.pyannote[174].end 473.56034375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 473.56034375
transcript.pyannote[175].end 473.61096875
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 473.61096875
transcript.pyannote[176].end 473.66159375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 473.66159375
transcript.pyannote[177].end 473.67846875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 473.67846875
transcript.pyannote[178].end 473.69534375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 473.69534375
transcript.pyannote[179].end 473.71221875
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 473.71221875
transcript.pyannote[180].end 473.81346875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 473.81346875
transcript.pyannote[181].end 474.70784375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 474.96096875
transcript.pyannote[182].end 478.97721875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 479.01096875
transcript.pyannote[183].end 479.02784375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 479.12909375
transcript.pyannote[184].end 481.15409375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 481.25534375
transcript.pyannote[185].end 483.31409375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 483.61784375
transcript.pyannote[186].end 486.35159375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 486.89159375
transcript.pyannote[187].end 487.48221875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 487.97159375
transcript.pyannote[188].end 488.71409375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 489.11909375
transcript.pyannote[189].end 492.42659375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 493.16909375
transcript.pyannote[190].end 493.50659375
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 493.69221875
transcript.pyannote[191].end 494.38409375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 494.50221875
transcript.pyannote[192].end 495.29534375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 495.90284375
transcript.pyannote[193].end 498.53534375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 498.53534375
transcript.pyannote[194].end 498.77159375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 498.77159375
transcript.pyannote[195].end 498.90659375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 498.90659375
transcript.pyannote[196].end 499.42971875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 499.64909375
transcript.pyannote[197].end 506.80409375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 507.46221875
transcript.pyannote[198].end 509.01471875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 509.21721875
transcript.pyannote[199].end 510.56721875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 510.70221875
transcript.pyannote[200].end 512.77784375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 512.89596875
transcript.pyannote[201].end 518.86971875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 518.95409375
transcript.pyannote[202].end 527.03721875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 521.94096875
transcript.pyannote[203].end 522.49784375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 527.17221875
transcript.pyannote[204].end 530.12534375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 530.63159375
transcript.pyannote[205].end 532.21784375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 532.21784375
transcript.pyannote[206].end 540.36846875
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 539.60909375
transcript.pyannote[207].end 541.39784375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 541.51596875
transcript.pyannote[208].end 544.85721875
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 544.82346875
transcript.pyannote[209].end 545.11034375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 545.04284375
transcript.pyannote[210].end 547.23659375
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 545.11034375
transcript.pyannote[211].end 545.12721875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 547.45596875
transcript.pyannote[212].end 548.40096875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 548.87346875
transcript.pyannote[213].end 552.75471875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 553.26096875
transcript.pyannote[214].end 555.75846875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 556.12971875
transcript.pyannote[215].end 557.39534375
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 557.02409375
transcript.pyannote[216].end 557.37846875
transcript.pyannote[217].speaker SPEAKER_04
transcript.pyannote[217].start 557.39534375
transcript.pyannote[217].end 557.64846875
transcript.pyannote[218].speaker SPEAKER_04
transcript.pyannote[218].start 557.85096875
transcript.pyannote[218].end 561.78284375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 557.86784375
transcript.pyannote[219].end 558.39096875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 560.21346875
transcript.pyannote[220].end 561.59721875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 562.08659375
transcript.pyannote[221].end 563.16659375
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 562.08659375
transcript.pyannote[222].end 564.39846875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 563.68971875
transcript.pyannote[223].end 571.31721875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 571.45221875
transcript.pyannote[224].end 574.11846875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 574.11846875
transcript.pyannote[225].end 574.67534375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 574.57409375
transcript.pyannote[226].end 582.47159375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 583.06221875
transcript.pyannote[227].end 584.93534375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 585.25596875
transcript.pyannote[228].end 587.41596875
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 587.43284375
transcript.pyannote[229].end 590.41971875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 590.95971875
transcript.pyannote[230].end 594.03096875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 594.18284375
transcript.pyannote[231].end 596.12346875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 596.24159375
transcript.pyannote[232].end 600.86534375
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 600.88221875
transcript.pyannote[233].end 600.91596875
transcript.pyannote[234].speaker SPEAKER_04
transcript.pyannote[234].start 600.91596875
transcript.pyannote[234].end 601.52346875
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 601.37159375
transcript.pyannote[235].end 601.96221875
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 602.97471875
transcript.pyannote[236].end 603.64971875
transcript.whisperx[0].start 4.517
transcript.whisperx[0].end 31.514
transcript.whisperx[0].text 好 接下來我們請鍾嘉賓委員質詢好 主席 在場的委員先進列席的總局長 總管官員 會長 工作夥伴 媒體機構的女士新生有請經濟部鞏部長以及水利署的林署長和台水公司的李董事長台水李董事長
transcript.whisperx[1].start 34.389
transcript.whisperx[1].end 56.519
transcript.whisperx[1].text 莊委員長部長好 署長好 董事長好來 我們來關心一下上週是發生了一個叫做翡翠水庫的事情因為關心到我們水資源調度跟未來的水價來 我們往下看這個翡翠水庫的水資源流失是因為錯誤調度根據媒體報導因為台北市政府由於受到監察院的糾正
transcript.whisperx[2].start 58.2
transcript.whisperx[2].end 86.454
transcript.whisperx[2].text 說因為你們過去曾經有5億噸的水流入大海所以要被監察院糾正因此管理局就說好啊那既然我被糾正我來台電說我要跟你收耗水補償費請問一下部長翡翠水為了水利發電的尾水是屬於流到大海消耗掉的嗎可以收耗水費嗎怎麼說應該是法律上是這個依據是有問題的依據法律上法律是哪一個法
transcript.whisperx[3].start 87.074
transcript.whisperx[3].end 108.675
transcript.whisperx[3].text 就是水利法那我問一下水利發電的水有被浪費掉流到大海嗎沒有那既然沒有就不是監察院糾正台北市政府他水資源浪費的原因那到底台北市政府他的水資源浪費被監察院糾正的原因是什麼剛剛事實上曾董事長也有講事實上我們調度他的水只有150噸
transcript.whisperx[4].start 111.897
transcript.whisperx[4].end 132.811
transcript.whisperx[4].text 我們收的那個耗水費,那個量是115萬噸他這個是5億,所以他結論講的是他那個水流下來,翡翠流出來的水沒有辦法全部運用我想這才是監察院調查的最主要的一個水利署你們專業看法怎麼看
transcript.whisperx[5].start 135.237
transcript.whisperx[5].end 150.215
transcript.whisperx[5].text 報告委員 這個依照法規耗水費它事實上是用在工業大戶為原則每天300度的一個大戶那工業用水 那水公司呢我是為了要節用水使用那請問水公司有沒有要付耗水費
transcript.whisperx[6].start 152.949
transcript.whisperx[6].end 171.105
transcript.whisperx[6].text 跟委員報告 耗水費是由水利署來開徵對 開徵對水 你有沒有被開徵過耗水費水供是沒有被開徵過那你們用原水要不要付錢要付付給誰水庫的管理單位水庫的管理單位那因為水利水庫不是你們管的啦對我說其他的水庫用水庫的水你們有付錢嗎有
transcript.whisperx[7].start 172.989
transcript.whisperx[7].end 201.488
transcript.whisperx[7].text 像石溫水庫或是翡翠水庫離台水庫翡翠水庫是專攻台北市因為台北市的水公司跟我們不一樣它是北水處對它是北水處那你們不是你們不攻台北市的水我們還要請台北自來水事業處支援我們新北的供水那翡翠水庫除了供應台北之外還支援新北好那你們跟其他的南部的水庫用水有沒有付耗水費
transcript.whisperx[8].start 202.162
transcript.whisperx[8].end 222.036
transcript.whisperx[8].text 沒有耗水費那好啦那我又不懂啦來部長那奇怪了那到底說工業大戶可以水庫管理機關可以跟他收耗水費但是可能使用水庫水很大量的是自來水公司那台北市政府他的翡翠水庫他自己拿來自己用自來水他當然不用收費嘛他不會收嘛
transcript.whisperx[9].start 223.373
transcript.whisperx[9].end 238.803
transcript.whisperx[9].text 那其他的水庫有去收過耗水費嗎因為耗水費基本上是中央的中央的稅收 是啊只有中央可以收所以他就是他想要跟台電簽約但是台電說這樣他不願意簽所以說了半天
transcript.whisperx[10].start 239.903
transcript.whisperx[10].end 261.822
transcript.whisperx[10].text 監察院糾正台北市政府他轉移焦點說然後轉過頭來說要跟台電收耗水費耗水費也不是他能收的他要透過簽約的商業行為來跟台電簽來我們看一下這個事情不是昨天才發生不是上週才發生是去年的11月4號的時候他們的水庫管理局的這個林育毅局長在回答議員質詢的時候說
transcript.whisperx[11].start 263.243
transcript.whisperx[11].end 268.979
transcript.whisperx[11].text 台電曾經發文九次請他同意供水來發電有沒有這個事實
transcript.whisperx[12].start 271.482
transcript.whisperx[12].end 299.18
transcript.whisperx[12].text 九次嘛我看那是去年是啦所以去年就講了嘛那因為呢後來他們要調高跟你們收費台電就覺得你怎麼可以跟我收這個錢呢就沒有同意嘛所以這個新聞會再出來台北市政府是借題發揮嘛去年11月4號市議會有人做球問他他就講了但是依法他不能收耗水費他就轉頭來跟台電說我要再跟你重新預約預約的內容是要調高地方米要調高為3元是這樣嗎
transcript.whisperx[13].start 300.741
transcript.whisperx[13].end 321.997
transcript.whisperx[13].text 他是對他是說超過的部分要每度要加三要三元但是翡翠水庫的電水比很低啊就是幾乎是五噸水才發一度電所以你如果收三元他就成本會變所以他要跟台電收這個一度就是一立方米來說一路因為電也是度啦水也是度啦一立方米的水收三塊錢 於法有據嗎
transcript.whisperx[14].start 324.569
transcript.whisperx[14].end 349.018
transcript.whisperx[14].text 這個我們不在這個耗水費範圍內 而且我跟委員報告其實水力發電沒有把水用掉 它只是因為那個高低差位能 我們只是只是利用那個位能 利用水的位能沒有把水用掉嘛對 那完全是兩件事情好 謝謝 部長知道了齁今天啊 這個事情是在台北市政府面對自己的市議會面對監察院的糾正
transcript.whisperx[15].start 350.839
transcript.whisperx[15].end 360.259
transcript.whisperx[15].text 然後他轉過頭來要發作在台電省上請問台電有沒有供電給台北市有沒有 當然有有沒有收取差別電價
transcript.whisperx[16].start 361.806
transcript.whisperx[16].end 382.288
transcript.whisperx[16].text 目前還沒有沒有啊所以做一個國營事業 公用事業他當然水公司你們的水費是不是全國都一致就扣除台北 台北你們管不到對是嗎所以連我們屏東供應最多水給水公司的也一樣對不對好我們現在看來謝謝謝謝來我們看一下就問水公司了
transcript.whisperx[17].start 382.848
transcript.whisperx[17].end 398.277
transcript.whisperx[17].text 屏東自來水的普及率全國最低啊那原因是什麼 簡單講 因為我問過好幾次了根據我報告 其實屏東早期它地下水脈是很豐富地下水豐沛嘛 賺錢的就不用贏嘛 要求錢的就不用贏嘛好 來 部長 我要請你拜託部長承諾
transcript.whisperx[18].start 402.859
transcript.whisperx[18].end 419.317
transcript.whisperx[18].text 就是說往下看其實呢除了這個之外我們還有水資源的運用效率屏東縣自來水的普及化感謝中央我們這連續幾年來大力的支持前瞻計畫八千億都有在支持對不對可是前瞻計畫結束了嘛
transcript.whisperx[19].start 421.139
transcript.whisperx[19].end 436.65
transcript.whisperx[19].text 接下來經濟部支票繼續爭取編列預算幫助屏東的自來水普及 為什麼因為如果下的雨留不住漏的水也擋不了因為屏東的自來水普及率全國最低之外漏水率也是很高的那這個改善需要工程部長怎麼辦
transcript.whisperx[20].start 438.071
transcript.whisperx[20].end 464.026
transcript.whisperx[20].text 我們還是會持續啊雖然前瞻預算已經結束了但是有關於這個自來水不管是無自來水也好或是漏水這個部分本來就是水利署不是或者是經濟部還有水公司最重要的工作是的所以我們不忍心看因為這個工程推動受到工程的進度預算的編列我們也希望把這個漏水率把它降低嘛因為水資源是珍貴的嘛
transcript.whisperx[21].start 464.406
transcript.whisperx[21].end 492.245
transcript.whisperx[21].text 台北是那麼斤斤計較翡翠水庫的水我們也很計較說我們水公司的水運到用戶之前不要漏掉嘛所以改善漏水率是不是當務之急是好往下看所以呢水公司執行量呢我們看了一下喔113年114年比起來占比呢貴街的水戶啊都還持續的微微的下降那水公司的執行的量能過去有關心過有沒有有沒有辦法再增加除了預算之外有沒有受到我們工程量能的限制
transcript.whisperx[22].start 493.203
transcript.whisperx[22].end 517.711
transcript.whisperx[22].text 部長工程量對因為不是說錢你丟給他就會做你要有工班啊絕對董事長跟委員報告其實我們屏東地區啦現在剛才委員所指的就我們積極在增加一些鹽管而且對既有的老舊的管線也在幫汰換那這些都需要我們的水管承裝商來協助我們是那
transcript.whisperx[23].start 518.311
transcript.whisperx[23].end 540.089
transcript.whisperx[23].text 所有屏東區域的廠商確實是還不夠我們會從鄰近的縣市甚至我們會去跟水管商工會請他們多來協助我們屏東地區多來參與我們的標案謝謝 部長我要說的是水工是已經全力以赴不只用我們屏東的包商各地區的包商都來支援但是包商跟我反映說什麼
transcript.whisperx[24].start 541.73
transcript.whisperx[24].end 561.252
transcript.whisperx[24].text 我們比例最高的沒有錯,我連續問了好幾年了,但是如果預算延宕的話,我們可不可以發包?已經刮槓就刮不腐啊,你有時候再給我千元,我是不是把那個時間融入到那個上面,部長了解嗎?我知道,好在這個是屬於延續性計畫,所以不會受影響
transcript.whisperx[25].start 562.193
transcript.whisperx[25].end 584.28
transcript.whisperx[25].text 不會受影響所以如果預算不會受影響工期就要趕快的調度工班來加速進行遏止除了提高我們的普及率之外也要遏止這個漏水率好不好好那就請部長指示我們署長指示董事長加速進行還有建議那個曾董事長以後台電在面對台北市的他們都叫我們
transcript.whisperx[26].start 585.32
transcript.whisperx[26].end 601.448
transcript.whisperx[26].text 管理處的處長來跟你們這個校正我是要你們要清楚的回應台電公司使用水輸的水來發電不屬於耗水費的範疇第二耗水費也不是你台北市政府可以主張的好嗎說清楚講明白部長可以嗎可以可以謝謝好謝謝