iVOD / 168801

Field Value
IVOD_ID 168801
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168801
日期 2026-04-23
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 2026-04-23T10:52:35+08:00
結束時間 2026-04-23T11:01:41+08:00
影片長度 00:09:06
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a0a6b12795be5442e7e5d6a00255991d47e947452b276263a9438ec9e4ea00b378ef0510ede47c525ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱志偉
委員發言時間 10:52:35 - 11:01:41
會議時間 2026-04-23T09:00:00+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公平交易委員會單位預算及附屬單位預算非營業部分關於公平交易委員會主管:反托拉斯基金。(詢答) 二、審查: (一) 本院委員伍麗華Saidhai Tahovecahe等17人擬具「土石採取法第三條條文修正草案」案。 (二) 本院委員黃仁等36人擬具「土石採取法第三條及第十四條條文修正草案」案。 (三) 本院委員邱議瑩等21人擬具「土石採取法部分條文修正草案」案。 (四) 本院委員賴瑞隆等19人擬具「土石採取法部分條文修正草案」案。 (五) 本院委員許智傑等31人擬具「土石採取法第三十六條條文修正草案」案。 (六) 本院委員柯志恩等19人擬具「土石採取法第三十六條條文修正草案」案。 (七) 本院委員邱鎮軍等24人擬具「土石採取法第三十六條、第三十八條及第三十九條條文修正草案」案。 (八) 本院委員陳亭妃等16人擬具「土石採取法第三十六條條文修正草案」案。 (九) 本院委員丁學忠等16人擬具「土石採取法第三十六條條文修正草案」案。 (十) 本院台灣民眾黨黨團擬具「土石採取法第三十六條、第三十八條及第四十一條條文修正草案」案。 (第十案如未接獲院會交付審查之議事處來文,則不予審查) (詢答及處理) 【4月22日及23日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.00971875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 6.93284375
transcript.pyannote[1].end 9.73409375
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 10.08846875
transcript.pyannote[2].end 10.91534375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 11.15159375
transcript.pyannote[3].end 12.45096875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 11.40471875
transcript.pyannote[4].end 14.49284375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 15.15096875
transcript.pyannote[5].end 16.55159375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 16.95659375
transcript.pyannote[6].end 17.44596875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 18.01971875
transcript.pyannote[7].end 19.31909375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 20.95596875
transcript.pyannote[8].end 22.10346875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 23.38596875
transcript.pyannote[9].end 25.47846875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 26.03534375
transcript.pyannote[10].end 26.35596875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 27.13221875
transcript.pyannote[11].end 31.72221875
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 32.11034375
transcript.pyannote[12].end 36.22784375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 36.78471875
transcript.pyannote[13].end 39.75471875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 40.26096875
transcript.pyannote[14].end 42.50534375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 43.14659375
transcript.pyannote[15].end 44.00721875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 44.47971875
transcript.pyannote[16].end 46.21784375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 46.94346875
transcript.pyannote[17].end 48.42846875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 48.73221875
transcript.pyannote[18].end 54.38534375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 55.41471875
transcript.pyannote[19].end 57.20346875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 57.96284375
transcript.pyannote[20].end 60.67971875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 61.25346875
transcript.pyannote[21].end 63.14346875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 63.53159375
transcript.pyannote[22].end 67.76721875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 68.76284375
transcript.pyannote[23].end 72.44159375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 72.94784375
transcript.pyannote[24].end 75.12471875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 75.27659375
transcript.pyannote[25].end 77.48721875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 78.14534375
transcript.pyannote[26].end 79.42784375
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 80.98034375
transcript.pyannote[27].end 81.45284375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 81.80721875
transcript.pyannote[28].end 83.15721875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 84.28784375
transcript.pyannote[29].end 84.64221875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 85.14846875
transcript.pyannote[30].end 88.89471875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 89.16471875
transcript.pyannote[31].end 95.03721875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 93.46784375
transcript.pyannote[32].end 97.07909375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 97.78784375
transcript.pyannote[33].end 105.82034375
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 106.47846875
transcript.pyannote[34].end 106.74846875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 106.93409375
transcript.pyannote[35].end 110.66346875
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 110.96721875
transcript.pyannote[36].end 112.18221875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 112.58721875
transcript.pyannote[37].end 115.06784375
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 115.72596875
transcript.pyannote[38].end 117.24471875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 117.88596875
transcript.pyannote[39].end 121.46346875
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 121.91909375
transcript.pyannote[40].end 122.29034375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 123.04971875
transcript.pyannote[41].end 125.07471875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 125.68221875
transcript.pyannote[42].end 132.82034375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 129.54659375
transcript.pyannote[43].end 129.83346875
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 133.52909375
transcript.pyannote[44].end 136.36409375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 136.38096875
transcript.pyannote[45].end 137.51159375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 138.38909375
transcript.pyannote[46].end 151.21409375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 151.50096875
transcript.pyannote[47].end 151.88909375
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 152.29409375
transcript.pyannote[48].end 154.03221875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 154.11659375
transcript.pyannote[49].end 154.84221875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 155.36534375
transcript.pyannote[50].end 157.00221875
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 157.30596875
transcript.pyannote[51].end 158.11596875
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 158.26784375
transcript.pyannote[52].end 159.33096875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 159.78659375
transcript.pyannote[53].end 160.76534375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 161.23784375
transcript.pyannote[54].end 161.55846875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 161.77784375
transcript.pyannote[55].end 162.33471875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 162.63846875
transcript.pyannote[56].end 163.93784375
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 164.41034375
transcript.pyannote[57].end 165.49034375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 165.76034375
transcript.pyannote[58].end 168.34221875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 168.98346875
transcript.pyannote[59].end 169.01721875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 169.01721875
transcript.pyannote[60].end 172.71284375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 174.67034375
transcript.pyannote[61].end 175.59846875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 176.67846875
transcript.pyannote[62].end 177.23534375
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 177.57284375
transcript.pyannote[63].end 179.02409375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 179.07471875
transcript.pyannote[64].end 180.20534375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 180.55971875
transcript.pyannote[65].end 184.27221875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 184.76159375
transcript.pyannote[66].end 185.99346875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 186.65159375
transcript.pyannote[67].end 186.87096875
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 186.87096875
transcript.pyannote[68].end 187.05659375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 187.68096875
transcript.pyannote[69].end 188.30534375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 189.41909375
transcript.pyannote[70].end 190.71846875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 191.41034375
transcript.pyannote[71].end 193.78971875
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 194.04284375
transcript.pyannote[72].end 195.62909375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 195.88221875
transcript.pyannote[73].end 196.05096875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 196.10159375
transcript.pyannote[74].end 198.88596875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 199.08846875
transcript.pyannote[75].end 201.16409375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 200.92784375
transcript.pyannote[76].end 202.69971875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 202.19346875
transcript.pyannote[77].end 202.46346875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 202.49721875
transcript.pyannote[78].end 205.95659375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 202.71659375
transcript.pyannote[79].end 203.71221875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 204.72471875
transcript.pyannote[80].end 205.18034375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 206.05784375
transcript.pyannote[81].end 207.49221875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 208.25159375
transcript.pyannote[82].end 217.04346875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 217.61721875
transcript.pyannote[83].end 218.20784375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 218.49471875
transcript.pyannote[84].end 219.05159375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 219.15284375
transcript.pyannote[85].end 220.78971875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 221.61659375
transcript.pyannote[86].end 224.63721875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 225.93659375
transcript.pyannote[87].end 232.82159375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 230.10471875
transcript.pyannote[88].end 230.88096875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 231.94409375
transcript.pyannote[89].end 236.63534375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 237.07409375
transcript.pyannote[90].end 238.96409375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 239.99346875
transcript.pyannote[91].end 243.97596875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 243.68909375
transcript.pyannote[92].end 245.02221875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 244.73534375
transcript.pyannote[93].end 245.37659375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 245.46096875
transcript.pyannote[94].end 247.62096875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 247.97534375
transcript.pyannote[95].end 248.61659375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 249.19034375
transcript.pyannote[96].end 250.57409375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 250.89471875
transcript.pyannote[97].end 251.35034375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 251.45159375
transcript.pyannote[98].end 253.35846875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 253.64534375
transcript.pyannote[99].end 256.63221875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 256.90221875
transcript.pyannote[100].end 257.64471875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 257.76284375
transcript.pyannote[101].end 259.21409375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 260.73284375
transcript.pyannote[102].end 262.57221875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 262.80846875
transcript.pyannote[103].end 263.07846875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 263.61846875
transcript.pyannote[104].end 263.85471875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 264.76596875
transcript.pyannote[105].end 265.30596875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 265.91346875
transcript.pyannote[106].end 266.43659375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 267.78659375
transcript.pyannote[107].end 268.59659375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 269.06909375
transcript.pyannote[108].end 269.55846875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 270.55409375
transcript.pyannote[109].end 271.93784375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 272.19096875
transcript.pyannote[110].end 274.92471875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 275.39721875
transcript.pyannote[111].end 277.10159375
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 277.50659375
transcript.pyannote[112].end 280.51034375
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 280.72971875
transcript.pyannote[113].end 281.74221875
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 282.18096875
transcript.pyannote[114].end 284.98221875
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 285.52221875
transcript.pyannote[115].end 288.57659375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 288.86346875
transcript.pyannote[116].end 291.86721875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 292.39034375
transcript.pyannote[117].end 293.97659375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 294.19596875
transcript.pyannote[118].end 295.09034375
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 295.29284375
transcript.pyannote[119].end 296.06909375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 296.55846875
transcript.pyannote[120].end 298.58346875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 298.66784375
transcript.pyannote[121].end 299.05596875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 299.44409375
transcript.pyannote[122].end 300.55784375
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 300.76034375
transcript.pyannote[123].end 303.24096875
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 303.69659375
transcript.pyannote[124].end 304.89471875
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 305.43471875
transcript.pyannote[125].end 305.95784375
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 306.41346875
transcript.pyannote[126].end 306.88596875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 307.25721875
transcript.pyannote[127].end 308.55659375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 308.74221875
transcript.pyannote[128].end 310.64909375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 311.03721875
transcript.pyannote[129].end 319.17096875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 319.71096875
transcript.pyannote[130].end 323.10284375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 323.98034375
transcript.pyannote[131].end 325.02659375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 325.49909375
transcript.pyannote[132].end 332.55284375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 332.82284375
transcript.pyannote[133].end 335.03346875
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 335.18534375
transcript.pyannote[134].end 335.67471875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 336.24846875
transcript.pyannote[135].end 338.74596875
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 339.13409375
transcript.pyannote[136].end 340.55159375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 340.97346875
transcript.pyannote[137].end 341.24346875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 342.05346875
transcript.pyannote[138].end 342.96471875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 343.13346875
transcript.pyannote[139].end 343.38659375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 343.63971875
transcript.pyannote[140].end 344.53409375
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 344.88846875
transcript.pyannote[141].end 347.50409375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 351.01409375
transcript.pyannote[142].end 354.10221875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 352.63409375
transcript.pyannote[143].end 352.97159375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 354.60846875
transcript.pyannote[144].end 358.74284375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 359.11409375
transcript.pyannote[145].end 361.44284375
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 362.74221875
transcript.pyannote[146].end 363.31596875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 363.68721875
transcript.pyannote[147].end 365.76284375
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 366.10034375
transcript.pyannote[148].end 366.72471875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 367.11284375
transcript.pyannote[149].end 367.45034375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 368.10846875
transcript.pyannote[150].end 368.47971875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 368.85096875
transcript.pyannote[151].end 370.79159375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 371.29784375
transcript.pyannote[152].end 371.85471875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 372.29346875
transcript.pyannote[153].end 372.88409375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 373.32284375
transcript.pyannote[154].end 374.79096875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 374.79096875
transcript.pyannote[155].end 376.14096875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 376.14096875
transcript.pyannote[156].end 384.93284375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 385.13534375
transcript.pyannote[157].end 386.02971875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 386.02971875
transcript.pyannote[158].end 392.39159375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 392.88096875
transcript.pyannote[159].end 398.28096875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 398.75346875
transcript.pyannote[160].end 400.57596875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 400.94721875
transcript.pyannote[161].end 401.18346875
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 401.72346875
transcript.pyannote[162].end 403.17471875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 403.42784375
transcript.pyannote[163].end 404.25471875
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 404.71034375
transcript.pyannote[164].end 405.01409375
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 405.97596875
transcript.pyannote[165].end 406.31346875
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 406.51596875
transcript.pyannote[166].end 408.49034375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 408.64221875
transcript.pyannote[167].end 409.11471875
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 409.78971875
transcript.pyannote[168].end 411.40971875
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 412.10159375
transcript.pyannote[169].end 412.72596875
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 412.77659375
transcript.pyannote[170].end 413.80596875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 414.43034375
transcript.pyannote[171].end 415.52721875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 415.83096875
transcript.pyannote[172].end 417.87284375
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 418.22721875
transcript.pyannote[173].end 418.78409375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 419.30721875
transcript.pyannote[174].end 421.39971875
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 422.81721875
transcript.pyannote[175].end 425.16284375
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 425.83784375
transcript.pyannote[176].end 426.47909375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 426.74909375
transcript.pyannote[177].end 428.97659375
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 430.68096875
transcript.pyannote[178].end 433.48221875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 433.58346875
transcript.pyannote[179].end 435.11909375
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 436.55346875
transcript.pyannote[180].end 438.08909375
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 438.84846875
transcript.pyannote[181].end 439.55721875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 440.09721875
transcript.pyannote[182].end 442.25721875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 441.31221875
transcript.pyannote[183].end 442.13909375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 442.25721875
transcript.pyannote[184].end 449.27721875
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 449.27721875
transcript.pyannote[185].end 449.44596875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 449.44596875
transcript.pyannote[186].end 459.80721875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 459.80721875
transcript.pyannote[187].end 459.87471875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 459.87471875
transcript.pyannote[188].end 459.95909375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 459.95909375
transcript.pyannote[189].end 459.97596875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 459.97596875
transcript.pyannote[190].end 460.14471875
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 460.14471875
transcript.pyannote[191].end 460.21221875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 460.21221875
transcript.pyannote[192].end 462.28784375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 462.91221875
transcript.pyannote[193].end 472.24409375
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 469.32471875
transcript.pyannote[194].end 470.32034375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 471.46784375
transcript.pyannote[195].end 471.65346875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 471.68721875
transcript.pyannote[196].end 472.15971875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 472.24409375
transcript.pyannote[197].end 472.48034375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 473.07096875
transcript.pyannote[198].end 485.27159375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 483.02721875
transcript.pyannote[199].end 489.15284375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 485.92971875
transcript.pyannote[200].end 486.79034375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 489.37221875
transcript.pyannote[201].end 491.19471875
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 491.56596875
transcript.pyannote[202].end 492.67971875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 493.28721875
transcript.pyannote[203].end 494.95784375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 495.29534375
transcript.pyannote[204].end 496.42596875
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 496.42596875
transcript.pyannote[205].end 496.44284375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 497.87721875
transcript.pyannote[206].end 504.45846875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 503.80034375
transcript.pyannote[207].end 510.60096875
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 511.07346875
transcript.pyannote[208].end 516.96284375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 513.79034375
transcript.pyannote[209].end 514.70159375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 514.98846875
transcript.pyannote[210].end 515.24159375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 517.26659375
transcript.pyannote[211].end 520.13534375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 520.79346875
transcript.pyannote[212].end 522.85221875
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 523.37534375
transcript.pyannote[213].end 524.26971875
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 524.87721875
transcript.pyannote[214].end 527.17221875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 527.54346875
transcript.pyannote[215].end 529.06221875
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 529.56846875
transcript.pyannote[216].end 531.12096875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 531.12096875
transcript.pyannote[217].end 531.13784375
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 531.82971875
transcript.pyannote[218].end 531.96471875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 531.96471875
transcript.pyannote[219].end 537.22971875
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 537.36471875
transcript.pyannote[220].end 541.38096875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 538.14096875
transcript.pyannote[221].end 538.30971875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 541.95471875
transcript.pyannote[222].end 544.92471875
transcript.whisperx[0].start 0.149
transcript.whisperx[0].end 24.407
transcript.whisperx[0].text 委員質詢首先請經濟部來政策請經濟部來策展園區管理局曾副局長園區管理局地調地質調查徐主任地方中心徐主任這個委員好這個市長
transcript.whisperx[1].start 27.205
transcript.whisperx[1].end 54.207
transcript.whisperx[1].text 先請教這個海淡廠之前我也曾去海淡廠那時候你在水利署署長那以前是台中臨時機組我們遷到這個興達電廠裡面那一年大概有一天大概十萬噸那我們希望蓋一個永久性的海淡廠為什麼我會這樣去設想你十年五年之後整個從沙文到這個南子產業園區都是半導體製造中心
transcript.whisperx[2].start 55.575
transcript.whisperx[2].end 83.044
transcript.whisperx[2].text 水 電 絕對不能缺所以現有的這個水的容量 水的供應量即便我們 我蓋了兩個再生水廠那時候我們一起努力 鋼橋 對不對還有楠梓再生水廠是我爭取才有這個兩座再生水廠好 還是不夠你如果再往北未來還有一個陸竹財源區要規劃所以未來的海淡廠有沒有 現在有沒有新的進度
transcript.whisperx[3].start 85.212
transcript.whisperx[3].end 105.257
transcript.whisperx[3].text 阿蘇委員所說的我們針對區域發展特別是南邦大溪谷的這個部分我們針對於水的這個組織有沒有新的計畫就有沒有新的地點因為可見當時這個你們規劃的地點好像地方上有意見我希望你們跟地方溝通在原址如果可以的話在原址再蓋
transcript.whisperx[4].start 107.056
transcript.whisperx[4].end 130.351
transcript.whisperx[4].text 地方上如果可以支持 我覺得最好就在原子來蓋 你知道原子那個地方在哪裡嗎新南海電廠裡面嘛 旁邊 靠近永安嘛那如果我們地方民眾還是覺得不妥你們另外再找地點 好不好這個部分我覺得還是要繼續推動啦一天十萬噸對未來產業的需求非常重要因為白富產業園區現在在遭傷
transcript.whisperx[5].start 133.601
transcript.whisperx[5].end 137.115
transcript.whisperx[5].text 那個多產業園區也是我爭取的對不對你也很清楚嘛
transcript.whisperx[6].start 139.514
transcript.whisperx[6].end 165.248
transcript.whisperx[6].text 這個也是我選的後來市政府認為說這個未來整個S行帶在半導體的不管是先進製程或者封設也好都可以集中在男子跟白虎對不對所以由市政府去做統籌規劃那我們也樂觀其成百事經濟部 產化局要獨找了後來給市政府目前最新進度你有沒有掌握
transcript.whisperx[7].start 166.008
transcript.whisperx[7].end 193.437
transcript.whisperx[7].text 現在好像是地方政府已經審過基礎設施包括公設是誰來蓋基礎設施啊公設比方說這個有一些公共建築啊一些基礎設施是誰來蓋是政府來蓋還是這個政府來蓋政府來蓋我們先那個政府政府你直接講好了政府白埔現在目前還是要由地方政府來做主導
transcript.whisperx[8].start 194.119
transcript.whisperx[8].end 219.507
transcript.whisperx[8].text 包括公共設施包括這些聯外道路都是由地方政府因為目前看起來開發單位不能看起來目前就是地方政府在做整個開發主體我是擔心財源不夠你這公共設施你要把它完善化聯外交通要把它這個很通暢這個沒有中央協助不行我覺得是不是這個市長你跟原區這個楊局長
transcript.whisperx[9].start 221.69
transcript.whisperx[9].end 238.755
transcript.whisperx[9].text 再找市政府談一下 看需要中央哪些協助我們再請園區管理局跟市政府對接一下包括推進的進度 當然希望中央地方合作的地方那你們對接的情況再讓我知道一下因為陸族財源園區那也是我爭取的嘛 對不對有沒有最新的進度 那政府
transcript.whisperx[10].start 240.423
transcript.whisperx[10].end 268.403
transcript.whisperx[10].text 目前來講 比較陸主園區目前確實比較沒有你要持續推動了那個地點我們已經決定了那地點我們開了好幾次會決定了未來在北高雄還是要有個財源園區北高雄財源園區現在已經成型了招商也都滿了那也是我費盡九牛二虎之力那陸主財源園區我們繼續推動好那個地熱啊地熱部分喔這個
transcript.whisperx[11].start 270.598
transcript.whisperx[11].end 291.446
transcript.whisperx[11].text 我是覺得目前這個對地熱我覺得台灣的條件非常好但是從這個未來從1.2GW到200MW是差了6倍因為是國化會公布的 一個是行政院公布的那下調到這個200MW我是覺得一定有出現環境上的問題
transcript.whisperx[12].start 292.466
transcript.whisperx[12].end 318.881
transcript.whisperx[12].text 包括行政流程中央地方完全不一開發區也受到很嚴重的限制產業供應鏈能量不足我很具體的要求經濟部是不是能夠建立地熱一戰式的審查機制把中央跟地方流程統一另外你要檢討國家公務員開發限制的問題以參考其他國家經驗 冰島 日本 紐西蘭
transcript.whisperx[13].start 319.701
transcript.whisperx[13].end 347.345
transcript.whisperx[13].text 然後政府的整合需求要引進國際專警的能量就跟離岸封地一樣然後建立在地溝通的指引你要有個指引才能做在地溝通我是覺得針對我這四個建議方案我希望說三個月之內請經濟部提出一個規劃報告沒有問題上個月好那最後一個問題各位先請回請教我們公民會陳副主委
transcript.whisperx[14].start 351.556
transcript.whisperx[14].end 360.326
transcript.whisperx[14].text 這個主席我很難得時間有超過這個問題比較重要 稍微超過一下也不會超過太離譜我只是不能無邊際的質詢
transcript.whisperx[15].start 363.934
transcript.whisperx[15].end 384.103
transcript.whisperx[15].text 這個單一通路 單一售票通路那個 主委 有沒有買過演唱會的票有買得到嗎我不是透過這個網路買的那你透過什麼特別管道因為像 其實那個票的通路有不同嘛像古典音樂 大部分透過寬宏等等其他的網站所以我沒有用過這個網站
transcript.whisperx[16].start 385.533
transcript.whisperx[16].end 410.781
transcript.whisperx[16].text 我是說這個流行音樂 流行HIPHOP類似這種我也沒去聽過 我跟你一樣我都聽古典樂所以票比較好買那你其他這個秒殺 所謂秒殺就是說瞬間4萬票 4萬張票就賣完了那是有特定的售票平台 對不對那它會有一定的遊戲規則 比如說最近接到很多民眾陳情
transcript.whisperx[17].start 412.148
transcript.whisperx[17].end 437.785
transcript.whisperx[17].text 你這個特定平台因為它一直刷刷之後它認為它是一個機器在運作所以它就永久封鎖這個民眾帳號它只是買票買得比較急動作比較快就被封鎖了封鎖其他兩家也不能用等於說它沒有永遠被排除在這個買票的通路當中它只能被迫去買航空票
transcript.whisperx[18].start 439.188
transcript.whisperx[18].end 462.227
transcript.whisperx[18].text 這種情況越來越多是 我跟各位報告一下就是說從競爭的觀點來看可能我們對這個議題關切的點是在於爭取售票代理權那個競爭是而不是說拿到代理權以後事後對消費者那塊競爭因為所有的表演都有它的獨特性對所以一旦你搶到代理權以後當然對消費者來講沒有什麼替代的選擇所以代理權要怎麼去做一個優化呢
transcript.whisperx[19].start 463.088
transcript.whisperx[19].end 470.341
transcript.whisperx[19].text 我們還是把重點擺在那個競爭爭取那個售票代理權的部分那如果從這個角度來看目前競爭售票代理權是有問題的
transcript.whisperx[20].start 474.061
transcript.whisperx[20].end 496.153
transcript.whisperx[20].text 我目前觀察到的是說就如我們剛剛跟委員報告還有一些其他的售票管道當然到底他們實質的情況事實上我們持續都有在做產業的瞭解那目前看起來當然委員關心一個產業再去瞭解一下瞭解三家其中只有一家有在賣比方說這個A演唱會只能A這個售票平台賣其他兩個B跟C不能賣
transcript.whisperx[21].start 498.072
transcript.whisperx[21].end 519.707
transcript.whisperx[21].text 對 但是我們關切的點是說當他決定要由某一個平台來賣的過程當中是不是其他兩家有在搶你能不能一個月把你們的撤進方案 改進方案怎麼樣讓這個遊戲規則能夠更公平我可以給你一個目前我們對這個產業的初步瞭解給一個書面給我這個已經接到很多的陳情了在A平台他是刷了幾次就被封鎖
transcript.whisperx[22].start 520.834
transcript.whisperx[22].end 536.74
transcript.whisperx[22].text 他們說B跟C他也不能去不能去購買所以三個平台全部被封鎖像這種這種我們這個消費者很多很多所以我可以跟針對這個目前市場的現況還有這個相關的議題給委員一個書面報告好 謝謝謝謝主席容許我發言這個超時一點點謝謝應該的謝謝邱教偉