iVOD / 168697

Field Value
IVOD_ID 168697
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168697
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 2026-04-22T10:15:49+08:00
結束時間 2026-04-22T10:29:00+08:00
影片長度 00:13:11
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5b5880b40c5769f1eb81ad7869d5eb0463812774c6aab6afdfea45507174d0791ee19b822c4e652d5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 謝衣鳯
委員發言時間 10:15:49 - 10:29:00
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_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 3.32159375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 14.52659375
transcript.pyannote[1].end 16.65284375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 16.93971875
transcript.pyannote[2].end 17.76659375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 23.55471875
transcript.pyannote[3].end 24.39846875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 23.75721875
transcript.pyannote[4].end 24.43221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 24.43221875
transcript.pyannote[5].end 24.51659375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 24.56721875
transcript.pyannote[6].end 50.11596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 37.59471875
transcript.pyannote[7].end 37.98284375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 50.41971875
transcript.pyannote[8].end 72.37409375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 72.47534375
transcript.pyannote[9].end 84.06846875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 84.27096875
transcript.pyannote[10].end 90.32909375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 90.59909375
transcript.pyannote[11].end 90.95346875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 90.95346875
transcript.pyannote[12].end 90.97034375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 91.20659375
transcript.pyannote[13].end 91.94909375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 92.03346875
transcript.pyannote[14].end 92.57346875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 92.79284375
transcript.pyannote[15].end 92.82659375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 92.82659375
transcript.pyannote[16].end 94.48034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 94.68284375
transcript.pyannote[17].end 97.88909375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 98.24346875
transcript.pyannote[18].end 99.69471875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 100.04909375
transcript.pyannote[19].end 105.71909375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 105.87096875
transcript.pyannote[20].end 108.35159375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 107.69346875
transcript.pyannote[21].end 107.87909375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 108.45284375
transcript.pyannote[22].end 118.94909375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 119.03346875
transcript.pyannote[23].end 123.11721875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 123.42096875
transcript.pyannote[24].end 129.95159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 128.97284375
transcript.pyannote[25].end 132.66846875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 133.42784375
transcript.pyannote[26].end 134.42346875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 134.72721875
transcript.pyannote[27].end 141.10596875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 141.35909375
transcript.pyannote[28].end 142.43909375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 142.96221875
transcript.pyannote[29].end 154.57221875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 146.52284375
transcript.pyannote[30].end 147.50159375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 148.76721875
transcript.pyannote[31].end 149.72909375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 153.98159375
transcript.pyannote[32].end 156.02346875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 156.27659375
transcript.pyannote[33].end 196.74284375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 197.36721875
transcript.pyannote[34].end 228.61971875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 200.18534375
transcript.pyannote[35].end 200.47221875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 228.87284375
transcript.pyannote[36].end 231.15096875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 231.18471875
transcript.pyannote[37].end 231.28596875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 231.52221875
transcript.pyannote[38].end 244.56659375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 245.07284375
transcript.pyannote[39].end 248.70096875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 249.13971875
transcript.pyannote[40].end 250.33784375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 250.72596875
transcript.pyannote[41].end 257.15534375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 253.35846875
transcript.pyannote[42].end 253.62846875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 253.64534375
transcript.pyannote[43].end 253.67909375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 255.16409375
transcript.pyannote[44].end 255.24846875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 255.40034375
transcript.pyannote[45].end 255.80534375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 257.20596875
transcript.pyannote[46].end 257.98221875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 258.23534375
transcript.pyannote[47].end 261.57659375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 260.20971875
transcript.pyannote[48].end 261.55971875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 261.57659375
transcript.pyannote[49].end 261.96471875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 261.96471875
transcript.pyannote[50].end 262.03221875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 262.03221875
transcript.pyannote[51].end 262.26846875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 262.90971875
transcript.pyannote[52].end 262.94346875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 262.94346875
transcript.pyannote[53].end 269.57534375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 264.63096875
transcript.pyannote[54].end 266.41971875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 267.95534375
transcript.pyannote[55].end 279.22784375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 279.39659375
transcript.pyannote[56].end 279.61596875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 279.75096875
transcript.pyannote[57].end 298.36409375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 285.77534375
transcript.pyannote[58].end 286.34909375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 297.21659375
transcript.pyannote[59].end 297.73971875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 297.75659375
transcript.pyannote[60].end 305.70471875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 305.55284375
transcript.pyannote[61].end 311.91471875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 311.64471875
transcript.pyannote[62].end 312.99471875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 313.26471875
transcript.pyannote[63].end 325.85346875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 318.49596875
transcript.pyannote[64].end 318.51284375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 318.51284375
transcript.pyannote[65].end 318.58034375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 318.58034375
transcript.pyannote[66].end 318.61409375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 318.64784375
transcript.pyannote[67].end 318.90096875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 325.88721875
transcript.pyannote[68].end 331.55721875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 326.24159375
transcript.pyannote[69].end 326.32596875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 328.94159375
transcript.pyannote[70].end 329.46471875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 331.75971875
transcript.pyannote[71].end 338.61096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 333.73409375
transcript.pyannote[72].end 333.98721875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 338.74596875
transcript.pyannote[73].end 341.64846875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 341.91846875
transcript.pyannote[74].end 343.28534375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 343.30221875
transcript.pyannote[75].end 343.38659375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 343.38659375
transcript.pyannote[76].end 344.38221875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 344.38221875
transcript.pyannote[77].end 347.28471875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 347.33534375
transcript.pyannote[78].end 347.82471875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 347.82471875
transcript.pyannote[79].end 352.29659375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 351.40221875
transcript.pyannote[80].end 356.02596875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 354.06846875
transcript.pyannote[81].end 354.82784375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 357.05534375
transcript.pyannote[82].end 358.27034375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 358.89471875
transcript.pyannote[83].end 358.96221875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 358.96221875
transcript.pyannote[84].end 364.64909375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 358.97909375
transcript.pyannote[85].end 359.89034375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 364.90221875
transcript.pyannote[86].end 365.12159375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 365.52659375
transcript.pyannote[87].end 370.90971875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 371.66909375
transcript.pyannote[88].end 371.95596875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 371.95596875
transcript.pyannote[89].end 371.97284375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 371.97284375
transcript.pyannote[90].end 372.29346875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 372.29346875
transcript.pyannote[91].end 372.39471875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 372.39471875
transcript.pyannote[92].end 380.10659375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 380.10659375
transcript.pyannote[93].end 381.00096875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 381.00096875
transcript.pyannote[94].end 381.03471875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 381.03471875
transcript.pyannote[95].end 381.38909375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 381.38909375
transcript.pyannote[96].end 381.59159375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 381.59159375
transcript.pyannote[97].end 381.91221875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 381.91221875
transcript.pyannote[98].end 381.97971875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 382.67159375
transcript.pyannote[99].end 382.99221875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 383.32971875
transcript.pyannote[100].end 395.20971875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 394.75409375
transcript.pyannote[101].end 397.25159375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 397.03221875
transcript.pyannote[102].end 417.40034375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 418.59846875
transcript.pyannote[103].end 419.08784375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 419.08784375
transcript.pyannote[104].end 419.30721875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 419.30721875
transcript.pyannote[105].end 419.32409375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 419.32409375
transcript.pyannote[106].end 426.74909375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 427.20471875
transcript.pyannote[107].end 432.04784375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 432.38534375
transcript.pyannote[108].end 434.41034375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 433.97159375
transcript.pyannote[109].end 438.07221875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 437.70096875
transcript.pyannote[110].end 446.30721875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 447.64034375
transcript.pyannote[111].end 447.65721875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 447.65721875
transcript.pyannote[112].end 462.18659375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 452.71971875
transcript.pyannote[113].end 453.24284375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 456.22971875
transcript.pyannote[114].end 456.53346875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 458.50784375
transcript.pyannote[115].end 459.94221875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 462.18659375
transcript.pyannote[116].end 485.96346875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 466.81034375
transcript.pyannote[117].end 467.04659375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 467.04659375
transcript.pyannote[118].end 467.06346875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 482.92596875
transcript.pyannote[119].end 483.55034375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 484.20846875
transcript.pyannote[120].end 487.00971875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 487.17846875
transcript.pyannote[121].end 498.19784375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 488.59596875
transcript.pyannote[122].end 489.62534375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 490.24971875
transcript.pyannote[123].end 490.87409375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 490.95846875
transcript.pyannote[124].end 491.07659375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 498.83909375
transcript.pyannote[125].end 502.41659375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 503.02409375
transcript.pyannote[126].end 508.49159375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 509.70659375
transcript.pyannote[127].end 509.97659375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 509.97659375
transcript.pyannote[128].end 527.07096875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 516.92909375
transcript.pyannote[129].end 517.04721875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 517.13159375
transcript.pyannote[130].end 517.24971875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 527.23971875
transcript.pyannote[131].end 529.02846875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 529.26471875
transcript.pyannote[132].end 533.63534375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 534.19221875
transcript.pyannote[133].end 537.75284375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 537.75284375
transcript.pyannote[134].end 546.61221875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 538.83284375
transcript.pyannote[135].end 539.96346875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 546.94971875
transcript.pyannote[136].end 548.72159375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 547.70909375
transcript.pyannote[137].end 561.39471875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 556.36596875
transcript.pyannote[138].end 556.53471875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 562.59284375
transcript.pyannote[139].end 566.13659375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 566.27159375
transcript.pyannote[140].end 570.10221875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 570.77721875
transcript.pyannote[141].end 577.91534375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 578.62409375
transcript.pyannote[142].end 584.14221875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 580.09221875
transcript.pyannote[143].end 580.17659375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 580.34534375
transcript.pyannote[144].end 580.66596875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 582.72471875
transcript.pyannote[145].end 583.07909375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 584.61471875
transcript.pyannote[146].end 587.24721875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 587.24721875
transcript.pyannote[147].end 587.39909375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 587.39909375
transcript.pyannote[148].end 587.55096875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 587.92221875
transcript.pyannote[149].end 614.16284375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 614.73659375
transcript.pyannote[150].end 627.66284375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 627.13971875
transcript.pyannote[151].end 627.52784375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 628.15221875
transcript.pyannote[152].end 635.20596875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 635.30721875
transcript.pyannote[153].end 636.03284375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 636.03284375
transcript.pyannote[154].end 636.84284375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 636.84284375
transcript.pyannote[155].end 636.97784375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 636.97784375
transcript.pyannote[156].end 662.74596875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 650.69721875
transcript.pyannote[157].end 651.42284375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 662.74596875
transcript.pyannote[158].end 665.22659375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 665.39534375
transcript.pyannote[159].end 668.87159375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 668.02784375
transcript.pyannote[160].end 668.48346875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 669.54659375
transcript.pyannote[161].end 671.80784375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 672.04409375
transcript.pyannote[162].end 674.13659375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 674.33909375
transcript.pyannote[163].end 680.83596875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 677.24159375
transcript.pyannote[164].end 677.78159375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 680.86971875
transcript.pyannote[165].end 682.18596875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 681.13971875
transcript.pyannote[166].end 685.22346875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 685.25721875
transcript.pyannote[167].end 685.27409375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 685.27409375
transcript.pyannote[168].end 702.70596875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 690.38721875
transcript.pyannote[169].end 690.48846875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 690.52221875
transcript.pyannote[170].end 690.79221875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 698.58846875
transcript.pyannote[171].end 698.90909375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 701.86221875
transcript.pyannote[172].end 704.69721875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 704.59596875
transcript.pyannote[173].end 713.64096875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 713.84346875
transcript.pyannote[174].end 716.15534375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 713.86034375
transcript.pyannote[175].end 714.56909375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 715.34534375
transcript.pyannote[176].end 754.96784375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 752.65596875
transcript.pyannote[177].end 752.99346875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 754.41096875
transcript.pyannote[178].end 767.55659375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 760.89096875
transcript.pyannote[179].end 761.43096875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 767.96159375
transcript.pyannote[180].end 773.32784375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 773.22659375
transcript.pyannote[181].end 773.69909375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 773.34471875
transcript.pyannote[182].end 773.36159375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 773.39534375
transcript.pyannote[183].end 775.30221875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 775.38659375
transcript.pyannote[184].end 777.86721875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 775.90971875
transcript.pyannote[185].end 775.92659375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 776.26409375
transcript.pyannote[186].end 777.61409375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 778.28909375
transcript.pyannote[187].end 785.61284375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 782.87909375
transcript.pyannote[188].end 788.80221875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 789.17346875
transcript.pyannote[189].end 791.78909375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 791.11409375
transcript.pyannote[190].end 791.48534375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 791.97471875
transcript.pyannote[191].end 792.32909375
transcript.whisperx[0].start 0.85
transcript.whisperx[0].end 17.409
transcript.whisperx[0].text 接下來有請謝依鳳委員質詢好 謝謝主席 我想要請部長請郭部長
transcript.whisperx[1].start 24.662
transcript.whisperx[1].end 49.715
transcript.whisperx[1].text 部長早安我想請教一下你們在115年度編列了210.57億對於國人用電就是在ESCO的部分那我想請問你這一筆預算要怎麼分配以及執行過去郭部長在講他說這個ESCO他是希望能夠用
transcript.whisperx[2].start 50.555
transcript.whisperx[2].end 72.129
transcript.whisperx[2].text 就是節省下來的電費來支付相關的廠商的服務費然後有致償性那現在是不是維持原樣以及未來要怎麼樣子來促進廠商跟這個節能技術服務單位的這樣子的媒合怎麼樣做呢
transcript.whisperx[3].start 72.649
transcript.whisperx[3].end 89.96
transcript.whisperx[3].text 包委員那個200多億主要它有幾個項目不是只有ESCO而已它還有再生能源強化電網韌性還有智慧電網等等一些情況那ESCO的部分是深度結盟那個部分那我們有補助廠商來做我是不是請那個署長
transcript.whisperx[4].start 93.222
transcript.whisperx[4].end 118.722
transcript.whisperx[4].text 跟委員報告那個補助廠商的部分就是我們現在有個計畫就是說未來他引入X口他如果有節電的話我們會相對給他一些獎勵措施那這個在今年預算有編列那編列多少那你怎麼樣做你怎麼樣子讓就是說讓那些技術單位去協助廠商呢協助我們真正需要的廠商來做這樣節能的那個方式呢
transcript.whisperx[5].start 119.082
transcript.whisperx[5].end 132.415
transcript.whisperx[5].text 他就是進去以後他會比如說幫他做節能診斷然後可能要做一些劑量然後他要去劃一個基線然後那你是不是有分區啊分區來做還是怎麼樣子做
transcript.whisperx[6].start 134.823
transcript.whisperx[6].end 154.536
transcript.whisperx[6].text 我印象是好像是我們是一個整個的然後業者可以來申請這個細節部分我會再跟委員一個報告好那你看你現在都沒有準備好是不是我們現在已經開始要審預算了你這相關的計畫以及你相關做到什麼程度你都沒有準備好是不是有計畫補足
transcript.whisperx[7].start 156.337
transcript.whisperx[7].end 170.69
transcript.whisperx[7].text 好 那還有我想要請問部長就是你對於波普石油基金辦理住宅的家電效率升級就是在家戶的屋頂設立太陽能光電可是你知道嗎
transcript.whisperx[8].start 171.711
transcript.whisperx[8].end 196.496
transcript.whisperx[8].text 現在太陽能光電目前有面臨到的第一個我們過去的就是說光電板是不是它的光電的發電的效率能夠足夠以及現在設立光電板會不會造成就是臨近的就是零幣設施的這樣子的一個抗議或者是申請那有沒有辦法達到相關的目標呢
transcript.whisperx[9].start 198.087
transcript.whisperx[9].end 221.069
transcript.whisperx[9].text 屋頂型爭議比較小啦當然就是說效率提升的部分我們技術上是持續在進行希望他那個太陽能板的這個發電的轉換效率可以提升那當然現在也有一些新的規定比如說將來新的這個比較大型的這個建築這個1000平方公尺以上
transcript.whisperx[10].start 221.95
transcript.whisperx[10].end 244.152
transcript.whisperx[10].text 事實上他必須要設置這個太陽能板也有這樣的規定那以下我們當然是用鼓勵的方式就用這個輔助鼓勵的方式那但是就是說你這樣子在加護設立太陽能板那有沒有難道能夠有助於就是說現在太陽能光電的這樣子整個在再生能源佔比的目標的達成嗎
transcript.whisperx[11].start 245.334
transcript.whisperx[11].end 261.039
transcript.whisperx[11].text 事實上我們現在整個太陽能的裝置容量事實上是屋頂型還超過地面型就是整個來講的話是屋頂型是超過地面型那在家戶呢
transcript.whisperx[12].start 262.987
transcript.whisperx[12].end 278.817
transcript.whisperx[12].text 家戶的部分家戶的部分是有很多的那個現在我們主要還是針對這個比較大戶的部分那我剛才特別提到家戶的部分如果是比較小面積我們是用鼓勵的方式用補助的方式
transcript.whisperx[13].start 279.838
transcript.whisperx[13].end 294.074
transcript.whisperx[13].text 那補助的方式會不會就是說當然我們要補助也希望說能夠提高發電效率嘛那這個部分你怎麼樣做啊因為你總是要讓加護的這個太陽能光電能夠達到一個目標嘛那你們預計達成的目標是什麼
transcript.whisperx[14].start 295.856
transcript.whisperx[14].end 321.562
transcript.whisperx[14].text 那那個署長咧 有沒有預計達成目標跟委員報告一下 那個小用戶的部分因為他面積比較小 他不像其他比較大面積的那你預計他達成你整個太陽能關電裡面的佔比的目標是多少我們現在 原來我們是屋頂型的全部是8G我們現在已經到10G了那我們還有繼續滾動檢討 把屋頂型的部分再加強
transcript.whisperx[15].start 322.502
transcript.whisperx[15].end 340.933
transcript.whisperx[15].text 我們現在要補助小屋頂就是因為小屋頂它的成本比較高因為它屋頂面積小施工比較麻煩所以我們有另外給它補助那另外如果是你自發自用型的我們還會加強補助就是鼓勵民眾去捨然後增強它自己的供電韌性那我是說你目標是多少嗎
transcript.whisperx[16].start 341.974
transcript.whisperx[16].end 370.207
transcript.whisperx[16].text 我們現在是你沒有目標是不是我們現在原來的8G已經達成了那我們現在已經超過了那我們後續會滾動檢討所以你希望就是能增加嘛對不對你要增加多少啊我們現在有在繼續檢討當中因為我們現在主力就是希望屋頂能夠多推一點所以你還是沒有想到就是一個比較明確的目標還是部長沒有給你目標
transcript.whisperx[17].start 372.605
transcript.whisperx[17].end 395.965
transcript.whisperx[17].text 因為他們原來設定的目標當然已經超過了但是現在就是能夠超過多少越多當然是越好那預計可以超過多少因為這涉及到就是說各個縣市那未來如果要推動這樣子的政策的時候那你相關的協助以及就是經濟部你的力道是多大我們再來規劃一下
transcript.whisperx[18].start 398.547
transcript.whisperx[18].end 417.174
transcript.whisperx[18].text 還有就是我看到了科專計畫增列了68.23億對於IC設計以及無人機關鍵技術的開發那我想請教一下無人機的飛鴻供應鏈裡面目前你關鍵技術的自給率目標是多少
transcript.whisperx[19].start 419.089
transcript.whisperx[19].end 446.084
transcript.whisperx[19].text 將來希望可以達到百分之百都可以自己做想要做百分之百就是自己能夠做當然廠商他也可以用飛鴻的零件都可以但是至少我們自己要能夠做那可是我看到你編列不會受到說人家不供應的時候我們產生困難這樣子那對我看到的是你們好像只有編列六點多億嘛這是一個整個項目嘛可是無人機的部分是不是
transcript.whisperx[20].start 447.854
transcript.whisperx[20].end 463.306
transcript.whisperx[20].text 因為無人機的部分事實上它是我們負責是一個統籌型的計畫但是它的預算不是全部編在我們經濟部不是在我們經濟部不是全部因為其他的部會採買的部分是編在其他的部會對可是經濟部也
transcript.whisperx[21].start 463.706
transcript.whisperx[21].end 486.009
transcript.whisperx[21].text 就是說我在問的是關鍵技術的部分因為經濟部對於他技術的協助以及就是說對於整個產業鏈是不是能夠有效的建立起來那我相信這是經濟部比較著重以及需要做的部分是 我們今年編的是技術的部分技術的是38億
transcript.whisperx[22].start 487.83
transcript.whisperx[22].end 504.358
transcript.whisperx[22].text 對是38億不是6億是38億是不是那所以你們希望達成的目標是整個我們無人機的所有的關鍵技術都可以自給自足對都可以自己至少能夠對於飛鴻供應鏈裡面那還有我們還有其他競爭的對手
transcript.whisperx[23].start 510.055
transcript.whisperx[23].end 532.326
transcript.whisperx[23].text 現在很多人都要跟我們合作 包括中東歐的國家 波蘭 捷克 事實上我們出口很多那現在連法國也要跟我們合作 都願意跟我們千年木屋來做一些合作因為他們知道台灣在製造能力跟量產能力是非常強的那未來我們量產能力呢 那對於產業的整個供應鏈 就是說產業的產值呢
transcript.whisperx[24].start 534.252
transcript.whisperx[24].end 561.001
transcript.whisperx[24].text 但是我們希望將來到400億那因為我們其實講到的無人機的就是飛鴻供應鏈當然不是只講就是我們講的還有一些是商用機嘛對不對包括商用機也有在商用不只有在軍工現在大家在討論的軍工的部分嘛其實有一部分也在商用的部分嘛是不是那在商用的部分就是說飛鴻供應鏈有它什麼立即點
transcript.whisperx[25].start 562.739
transcript.whisperx[25].end 586.659
transcript.whisperx[25].text 因為他還是要有資訊安全的問題啦所以能夠飛鴻的話當然這些國家也都願意跟我們因為他有些還是公務用途啊雖然不是軍事用途但是比如說警察的巡檢啊或者是水利設施的巡檢啊等等一些情況這些都是屬於公務用途啊
transcript.whisperx[26].start 588.48
transcript.whisperx[26].end 613.91
transcript.whisperx[26].text 所以我觉得就是说经济部那如果真的要协助就是说国内厂商然后以及相关的领主建都可以达到就是说都可以进入这整个全球的这个非红供应链的这个体系里面那我觉得那以目前经济部所做的那希望说你们能够真的达到百分之百因为从目前看起来好像离百分之百是不是还有点距离
transcript.whisperx[27].start 615.311
transcript.whisperx[27].end 634.369
transcript.whisperx[27].text 所以我們希望現在有幾個晶片的開發那剩下是在進行當然有一些有一些廠商已經在開發了我們就用業界科專來補助他們跟他們做一些合作那國內還沒有一些廠商這些技術上ready我們就請公務員先來做開發然後再寄轉給他們
transcript.whisperx[28].start 635.61
transcript.whisperx[28].end 658.885
transcript.whisperx[28].text 所以是用法蘭科專還有就是中小企業要導入AI這個部分其實中小企業還有非常大的疑慮因為第一個就是過去沒有接觸過或者是就是AI Data的資料庫建立上面不是那麼樣子的有辦法立即所以你們有編了144億請問你這個就是怎麼樣子協助中小企業導入
transcript.whisperx[29].start 662.768
transcript.whisperx[29].end 671.344
transcript.whisperx[29].text 北巴委員我們現在有一個所謂的這個競爭力的一些輔導團那大概有20幾個法人共同來參與那分的
transcript.whisperx[30].start 674.877
transcript.whisperx[30].end 693.769
transcript.whisperx[30].text 就是北中南東有分了四個區域事實上我們是主動的去了解中小企業需要怎麼樣設置轉型可是中小企業有一百多萬家是不是是所以我們有分區域那有需要的部分先做診斷等等一些情況那有一些中小企業說老實話因為他的業務事實上是比較單純所以用
transcript.whisperx[31].start 696.51
transcript.whisperx[31].end 712.977
transcript.whisperx[31].text 線上的這個APP就可以服務他們那這個戰友那我們會跟他的這個你會分別類會盤點好嗎會因為他們有一些只要需要他們在這個減碳的部分是需要減碳那我們就減碳跟這個數位轉型一起幫他
transcript.whisperx[32].start 714.057
transcript.whisperx[32].end 740.47
transcript.whisperx[32].text 事實上很多的中小企業是有這樣的我是認為你們應該要先分門別類因為目前中小企業對於政府要推動這個AI的導入的部分他們認為在協助上面好像沒有那麼立即沒有像過去在產業設備升級這個部分這樣子非常有立竿見影的效果那未來在AI導入的協助的部分那也希望我們經濟部能夠
transcript.whisperx[33].start 742.711
transcript.whisperx[33].end 760.357
transcript.whisperx[33].text 想出一個比較好的方式第一個如果在怎麼樣子的情況下什麼樣的規模情況下可以用APP的方式什麼樣情況下是由法人來共同協助是有分就是我們會了解這個廠商他事實上導入AI他還是有分等級
transcript.whisperx[34].start 761.477
transcript.whisperx[34].end 787.326
transcript.whisperx[34].text 他可能他的作業型他比較單純的可能就是比較單純的但是有一些是製造商他需要用AI的方式提升他的製造效率那我們就會請法人進駐然後改善他的製程對啊我們還是要把我們就是AI導入協助應該還是要救傳產以及就是我們中小企業為主好不好以中小企業而且分成44個次產業
transcript.whisperx[35].start 789.427
transcript.whisperx[35].end 792.301
transcript.whisperx[35].text 好 沒關係 因為時間超時態好 謝謝好 不好意思