iVOD / 170709

Field Value
IVOD_ID 170709
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/170709
日期 2026-07-23
會議資料.會議代碼 公聽會-2026071641
會議資料.會議代碼:str 召開「如何藉由無人載具專法,強化國防自主促進國際合作發展本土產業」公聽會
會議資料.屆 11
會議資料.會期 5
會議資料.種類 公聽會
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 立法院第11屆第5會期經濟委員會公聽會(事由:召開「如何藉由無人載具專法,強化國防自主促進國際合作發展本土產業」公聽會)
影片種類 Clip
開始時間 2026-07-23T09:52:42+08:00
結束時間 2026-07-23T10:03:22+08:00
影片長度 00:10:40
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/7cefb85d66825e78703fea143e4f76712eff4d1fb719c76dc53e6923c34426e32d8f15caca8ddabc5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 09:52:42 - 10:03:22
會議時間 2026-07-23T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會公聽會(事由:召開「如何藉由無人載具專法,強化國防自主促進國際合作發展本土產業」公聽會)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 5.65034375
transcript.pyannote[0].end 8.41784375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 10.91534375
transcript.pyannote[1].end 12.31596875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 12.58596875
transcript.pyannote[2].end 13.71659375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.96971875
transcript.pyannote[3].end 18.62721875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 19.03221875
transcript.pyannote[4].end 19.97721875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 20.26409375
transcript.pyannote[5].end 29.98409375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 30.52409375
transcript.pyannote[6].end 33.94971875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 34.11846875
transcript.pyannote[7].end 48.64784375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 48.71534375
transcript.pyannote[8].end 51.65159375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 51.71909375
transcript.pyannote[9].end 57.74346875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 57.91221875
transcript.pyannote[10].end 60.32534375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 60.74721875
transcript.pyannote[11].end 63.43034375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 64.08846875
transcript.pyannote[12].end 64.44284375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 64.57784375
transcript.pyannote[13].end 70.09596875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 70.51784375
transcript.pyannote[14].end 71.09159375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 71.20971875
transcript.pyannote[15].end 75.15846875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 75.46221875
transcript.pyannote[16].end 84.03471875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 84.38909375
transcript.pyannote[17].end 87.88221875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 88.11846875
transcript.pyannote[18].end 88.82721875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 88.92846875
transcript.pyannote[19].end 91.49346875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 91.81409375
transcript.pyannote[20].end 93.65346875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 93.73784375
transcript.pyannote[21].end 96.03284375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 96.11721875
transcript.pyannote[22].end 99.49221875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 99.82971875
transcript.pyannote[23].end 101.90534375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 102.20909375
transcript.pyannote[24].end 104.36909375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 104.57159375
transcript.pyannote[25].end 105.36471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 105.93846875
transcript.pyannote[26].end 111.37221875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 111.99659375
transcript.pyannote[27].end 114.64596875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 115.15221875
transcript.pyannote[28].end 117.63284375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 117.78471875
transcript.pyannote[29].end 118.81409375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 119.01659375
transcript.pyannote[30].end 120.41721875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 120.67034375
transcript.pyannote[31].end 121.91909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 122.05409375
transcript.pyannote[32].end 123.26909375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 123.40409375
transcript.pyannote[33].end 126.27284375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 126.54284375
transcript.pyannote[34].end 130.35659375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 130.59284375
transcript.pyannote[35].end 134.47409375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 134.91284375
transcript.pyannote[36].end 136.19534375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 137.59596875
transcript.pyannote[37].end 138.52409375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 139.06409375
transcript.pyannote[38].end 140.51534375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 140.83596875
transcript.pyannote[39].end 147.41721875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 147.88971875
transcript.pyannote[40].end 155.98971875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 156.22596875
transcript.pyannote[41].end 160.81596875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 161.18721875
transcript.pyannote[42].end 162.58784375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 162.89159375
transcript.pyannote[43].end 163.51596875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 163.76909375
transcript.pyannote[44].end 166.73909375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 167.26221875
transcript.pyannote[45].end 168.10596875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 168.22409375
transcript.pyannote[46].end 170.04659375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 170.36721875
transcript.pyannote[47].end 170.80596875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 171.68346875
transcript.pyannote[48].end 175.73346875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 175.85159375
transcript.pyannote[49].end 177.58971875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 177.80909375
transcript.pyannote[50].end 179.51346875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 180.18846875
transcript.pyannote[51].end 181.15034375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 182.14596875
transcript.pyannote[52].end 184.50846875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 184.96409375
transcript.pyannote[53].end 187.95096875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 188.52471875
transcript.pyannote[54].end 189.46971875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 189.79034375
transcript.pyannote[55].end 197.82284375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 198.48096875
transcript.pyannote[56].end 201.19784375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 201.45096875
transcript.pyannote[57].end 203.34096875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 203.40846875
transcript.pyannote[58].end 206.86784375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 207.08721875
transcript.pyannote[59].end 208.45409375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 209.16284375
transcript.pyannote[60].end 210.20909375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 210.52971875
transcript.pyannote[61].end 213.36471875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 214.07346875
transcript.pyannote[62].end 217.26284375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 217.33034375
transcript.pyannote[63].end 218.71409375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 219.28784375
transcript.pyannote[64].end 220.16534375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 220.48596875
transcript.pyannote[65].end 221.81909375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 222.07221875
transcript.pyannote[66].end 223.48971875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 223.99596875
transcript.pyannote[67].end 230.27346875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 231.06659375
transcript.pyannote[68].end 232.38284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 233.14221875
transcript.pyannote[69].end 242.22096875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 243.09846875
transcript.pyannote[70].end 244.09409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 244.49909375
transcript.pyannote[71].end 248.36346875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 248.83596875
transcript.pyannote[72].end 249.96659375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 250.11846875
transcript.pyannote[73].end 253.64534375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 254.64096875
transcript.pyannote[74].end 255.51846875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 255.92346875
transcript.pyannote[75].end 256.69971875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 257.08784375
transcript.pyannote[76].end 258.18471875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 259.18034375
transcript.pyannote[77].end 260.15909375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 260.51346875
transcript.pyannote[78].end 260.91846875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 261.22221875
transcript.pyannote[79].end 263.07846875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 263.41596875
transcript.pyannote[80].end 264.59721875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 264.85034375
transcript.pyannote[81].end 265.45784375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 266.14971875
transcript.pyannote[82].end 269.67659375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 269.74409375
transcript.pyannote[83].end 275.32971875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 275.97096875
transcript.pyannote[84].end 277.72596875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 278.11409375
transcript.pyannote[85].end 279.80159375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 280.42596875
transcript.pyannote[86].end 282.60284375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 282.70409375
transcript.pyannote[87].end 285.13409375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 285.97784375
transcript.pyannote[88].end 288.76221875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 289.42034375
transcript.pyannote[89].end 290.38221875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 290.88846875
transcript.pyannote[90].end 291.91784375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 292.59284375
transcript.pyannote[91].end 293.75721875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 294.26346875
transcript.pyannote[92].end 294.58409375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 295.36034375
transcript.pyannote[93].end 305.38409375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 305.99159375
transcript.pyannote[94].end 309.06284375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 309.29909375
transcript.pyannote[95].end 311.66159375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 312.92721875
transcript.pyannote[96].end 315.84659375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 316.25159375
transcript.pyannote[97].end 318.78284375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 319.32284375
transcript.pyannote[98].end 320.41971875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 321.11159375
transcript.pyannote[99].end 322.56284375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 322.95096875
transcript.pyannote[100].end 324.38534375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 324.73971875
transcript.pyannote[101].end 325.24596875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 325.46534375
transcript.pyannote[102].end 327.38909375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 328.04721875
transcript.pyannote[103].end 335.33721875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 335.65784375
transcript.pyannote[104].end 336.73784375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 337.27784375
transcript.pyannote[105].end 339.25221875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 340.31534375
transcript.pyannote[106].end 341.47971875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 341.96909375
transcript.pyannote[107].end 342.88034375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 343.25159375
transcript.pyannote[108].end 344.16284375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 344.92221875
transcript.pyannote[109].end 348.87096875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 349.44471875
transcript.pyannote[110].end 351.90846875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 352.38096875
transcript.pyannote[111].end 354.03471875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 354.35534375
transcript.pyannote[112].end 356.90346875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 357.02159375
transcript.pyannote[113].end 357.93284375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 358.30409375
transcript.pyannote[114].end 359.70471875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 360.43034375
transcript.pyannote[115].end 363.19784375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 363.85596875
transcript.pyannote[116].end 366.30284375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 366.97784375
transcript.pyannote[117].end 367.75409375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 368.41221875
transcript.pyannote[118].end 368.76659375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 369.13784375
transcript.pyannote[119].end 371.24721875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 371.95596875
transcript.pyannote[120].end 372.71534375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 373.00221875
transcript.pyannote[121].end 373.44096875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 374.11596875
transcript.pyannote[122].end 374.38596875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 374.68971875
transcript.pyannote[123].end 375.65159375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 375.98909375
transcript.pyannote[124].end 377.03534375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 377.45721875
transcript.pyannote[125].end 385.03409375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 378.36846875
transcript.pyannote[126].end 379.12784375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 385.47284375
transcript.pyannote[127].end 388.07159375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 388.30784375
transcript.pyannote[128].end 392.34096875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 393.30284375
transcript.pyannote[129].end 395.17596875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 395.42909375
transcript.pyannote[130].end 395.95221875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 396.22221875
transcript.pyannote[131].end 397.69034375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 398.11221875
transcript.pyannote[132].end 399.68159375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 400.18784375
transcript.pyannote[133].end 400.99784375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 401.35221875
transcript.pyannote[134].end 402.26346875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 402.76971875
transcript.pyannote[135].end 409.46909375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 409.75596875
transcript.pyannote[136].end 418.66596875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 418.71659375
transcript.pyannote[137].end 421.73721875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 422.32784375
transcript.pyannote[138].end 423.47534375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 423.96471875
transcript.pyannote[139].end 426.39471875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 426.98534375
transcript.pyannote[140].end 427.35659375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 427.82909375
transcript.pyannote[141].end 428.62221875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 429.14534375
transcript.pyannote[142].end 432.26721875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 432.70596875
transcript.pyannote[143].end 436.67159375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 437.16096875
transcript.pyannote[144].end 440.26596875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 440.56971875
transcript.pyannote[145].end 441.36284375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 441.76784375
transcript.pyannote[146].end 443.38784375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 443.70846875
transcript.pyannote[147].end 446.52659375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 447.08346875
transcript.pyannote[148].end 449.32784375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 449.58096875
transcript.pyannote[149].end 453.49596875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 454.06971875
transcript.pyannote[150].end 454.81221875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 455.20034375
transcript.pyannote[151].end 456.38159375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 457.27596875
transcript.pyannote[152].end 460.60034375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 461.19096875
transcript.pyannote[153].end 463.97534375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 464.31284375
transcript.pyannote[154].end 465.74721875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 465.83159375
transcript.pyannote[155].end 466.91159375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 467.09721875
transcript.pyannote[156].end 468.88596875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 469.34159375
transcript.pyannote[157].end 471.50159375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 471.75471875
transcript.pyannote[158].end 473.52659375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 473.69534375
transcript.pyannote[159].end 477.52596875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 478.09971875
transcript.pyannote[160].end 480.05721875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 480.42846875
transcript.pyannote[161].end 481.89659375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 482.09909375
transcript.pyannote[162].end 484.78221875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 485.55846875
transcript.pyannote[163].end 488.51159375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 489.06846875
transcript.pyannote[164].end 493.00034375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 493.57409375
transcript.pyannote[165].end 495.61596875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 496.44284375
transcript.pyannote[166].end 505.65659375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 505.97721875
transcript.pyannote[167].end 509.38596875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 509.48721875
transcript.pyannote[168].end 511.52909375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 512.00159375
transcript.pyannote[169].end 513.36846875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 513.77346875
transcript.pyannote[170].end 514.76909375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 515.39346875
transcript.pyannote[171].end 519.69659375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 519.73034375
transcript.pyannote[172].end 521.99159375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 522.48096875
transcript.pyannote[173].end 524.06721875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 525.11346875
transcript.pyannote[174].end 529.55159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 529.85534375
transcript.pyannote[175].end 532.45409375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 532.85909375
transcript.pyannote[176].end 535.28909375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 536.26784375
transcript.pyannote[177].end 536.79096875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 537.34784375
transcript.pyannote[178].end 539.69346875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 540.14909375
transcript.pyannote[179].end 541.27971875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 541.46534375
transcript.pyannote[180].end 543.82784375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 544.18221875
transcript.pyannote[181].end 546.22409375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 546.64596875
transcript.pyannote[182].end 547.96221875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 548.43471875
transcript.pyannote[183].end 548.73846875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 550.59471875
transcript.pyannote[184].end 552.24846875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 552.65346875
transcript.pyannote[185].end 553.78409375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 554.37471875
transcript.pyannote[186].end 564.29721875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 564.61784375
transcript.pyannote[187].end 567.94221875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 568.36409375
transcript.pyannote[188].end 570.89534375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 571.33409375
transcript.pyannote[189].end 573.88221875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 574.11846875
transcript.pyannote[190].end 575.72159375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 575.94096875
transcript.pyannote[191].end 577.74659375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 578.37096875
transcript.pyannote[192].end 580.12596875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 580.83471875
transcript.pyannote[193].end 583.19721875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 583.70346875
transcript.pyannote[194].end 587.26409375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 587.75346875
transcript.pyannote[195].end 590.36909375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 590.72346875
transcript.pyannote[196].end 594.33471875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 594.48659375
transcript.pyannote[197].end 595.73534375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 595.98846875
transcript.pyannote[198].end 597.35534375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 597.70971875
transcript.pyannote[199].end 601.52346875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 601.84409375
transcript.pyannote[200].end 603.71721875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 604.00409375
transcript.pyannote[201].end 605.20221875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 605.25284375
transcript.pyannote[202].end 614.28096875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 614.82096875
transcript.pyannote[203].end 617.70659375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 617.90909375
transcript.pyannote[204].end 619.93409375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 620.86221875
transcript.pyannote[205].end 621.84096875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 622.07721875
transcript.pyannote[206].end 623.34284375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 623.69721875
transcript.pyannote[207].end 625.82346875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 626.16096875
transcript.pyannote[208].end 635.77971875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 635.93159375
transcript.pyannote[209].end 637.72034375
transcript.whisperx[0].start 0
transcript.whisperx[0].end 9
transcript.whisperx[0].text 好,我們現在請這個鍾嘉斌委員發言
transcript.whisperx[1].start 9
transcript.whisperx[1].end 19
transcript.whisperx[1].text 謝謝主席,今天的公聽會剛剛已經聽了相關的主管機關、列席代表的說明
transcript.whisperx[2].start 19
transcript.whisperx[2].end 27
transcript.whisperx[2].text 也聽到了15位學者參加當中前兩位剛好都是有軍方背景代表的空軍跟海軍的發言
transcript.whisperx[3].start 27
transcript.whisperx[3].end 34
transcript.whisperx[3].text 很有意思的是,在這一次之前立法院三個政黨黨團都推出了自己的版本
transcript.whisperx[4].start 34
transcript.whisperx[4].end 39
transcript.whisperx[4].text 其中比較有爭議的就是要交付給國防委員來主審
transcript.whisperx[5].start 39
transcript.whisperx[5].end 43
transcript.whisperx[5].text 但是最後依在野黨的多數交付給經濟委員來主審
transcript.whisperx[6].start 43
transcript.whisperx[6].end 48
transcript.whisperx[6].text 但是很有趣的,首先在野黨推薦的委員都是軍方的代表
transcript.whisperx[7].start 48
transcript.whisperx[7].end 53
transcript.whisperx[7].text 但是此刻在群賢101有產業界的代表
transcript.whisperx[8].start 53
transcript.whisperx[8].end 60
transcript.whisperx[8].text 他們因為今天不是發言人專家學者,可是他們很關心可以看到我們全場的轉播實況
transcript.whisperx[9].start 60
transcript.whisperx[9].end 63
transcript.whisperx[9].text 除了這些產業界在看之外,還有誰在看呢?
transcript.whisperx[10].start 63
transcript.whisperx[10].end 70
transcript.whisperx[10].text 還有的就是下一頁,無人載具的預算動向,投資大眾都在看
transcript.whisperx[11].start 70
transcript.whisperx[11].end 77
transcript.whisperx[11].text 恐怕這最近將近半個月以來,台灣社會最關注的新聞不見得是無人機專法
transcript.whisperx[12].start 77
transcript.whisperx[12].end 79
transcript.whisperx[12].text 而是我們的股市的行情
transcript.whisperx[13].start 79
transcript.whisperx[13].end 82
transcript.whisperx[13].text 可是當中牽動的產業新聞的是什麼?
transcript.whisperx[14].start 82
transcript.whisperx[14].end 88
transcript.whisperx[14].text 首先在1月20號,行政院編了1.25兆國防任性特別預算之後
transcript.whisperx[15].start 88
transcript.whisperx[15].end 91
transcript.whisperx[15].text 儘管有在野黨質疑特別預算的必要性
transcript.whisperx[16].start 91
transcript.whisperx[16].end 96
transcript.whisperx[16].text 剛剛的發言代表也有說,現在國家有遇到戰爭的威脅嗎?
transcript.whisperx[17].start 96
transcript.whisperx[17].end 99
transcript.whisperx[17].text 需要緊急的編列特別預算嗎?這樣是不是在留子孫呢?
transcript.whisperx[18].start 99
transcript.whisperx[18].end 108
transcript.whisperx[18].text 但是事實上最後,這樣的一個特別預算還是在5月8號的時候
transcript.whisperx[19].start 108
transcript.whisperx[19].end 115
transcript.whisperx[19].text 在野黨要求要刪掉4700億,4700億後還是通過了
transcript.whisperx[20].start 115
transcript.whisperx[20].end 120
transcript.whisperx[20].text 我要強調一次,儘管在野黨的主張是認為不應該編列特別預算
transcript.whisperx[21].start 120
transcript.whisperx[21].end 126
transcript.whisperx[21].text 不應該在留子孫,並沒有迫切的需要,但是還是通過了,但是砍了4700億
transcript.whisperx[22].start 126
transcript.whisperx[22].end 130
transcript.whisperx[22].text 當時我們看一下,在行政院發表1.25兆的時候
transcript.whisperx[23].start 130
transcript.whisperx[23].end 134
transcript.whisperx[23].text 相關國內的無人載具軍工股就急急漲停,收紅
transcript.whisperx[24].start 134
transcript.whisperx[24].end 140
transcript.whisperx[24].text 但是當5月8號,在野黨多數刪減了4700億
transcript.whisperx[25].start 140
transcript.whisperx[25].end 147
transcript.whisperx[25].text 全部的無人載具預算砍光之後,無人載具的概念股就集體鐵停收黑
transcript.whisperx[26].start 147
transcript.whisperx[26].end 150
transcript.whisperx[26].text 但是到了6月18號,行政院再接再厲
transcript.whisperx[27].start 150
transcript.whisperx[27].end 155
transcript.whisperx[27].text 又提出了2100億要採購三型的無人載具
transcript.whisperx[28].start 155
transcript.whisperx[28].end 160
transcript.whisperx[28].text 這時候在四天後,我們看到無人載具概念股又多加漲停收紅
transcript.whisperx[29].start 161
transcript.whisperx[29].end 168
transcript.whisperx[29].text 然而就在前天,我們看到國民黨提案要統三行政院
transcript.whisperx[30].start 168
transcript.whisperx[30].end 175
transcript.whisperx[30].text 行政院六年計畫當中,統籌型的440億無人載具的預算之後
transcript.whisperx[31].start 175
transcript.whisperx[31].end 181
transcript.whisperx[31].text 就在昨天7月22號,無人機的概念股又急停,跌停收黑
transcript.whisperx[32].start 181
transcript.whisperx[32].end 184
transcript.whisperx[32].text 難不成在野黨是有人在炒股嗎?
transcript.whisperx[33].start 184
transcript.whisperx[33].end 188
transcript.whisperx[33].text 要放空無人機產業相關的產業嗎?
transcript.whisperx[34].start 188
transcript.whisperx[34].end 194
transcript.whisperx[34].text 我很懷疑,但是不應該為了政黨利益、政治惡鬥、破壞產業發展
transcript.whisperx[35].start 194
transcript.whisperx[35].end 198
transcript.whisperx[35].text 還有相關台灣社會投資大眾的權益,我們往下看
transcript.whisperx[36].start 198
transcript.whisperx[36].end 203
transcript.whisperx[36].text 好,那我們先探探到底這個2100億的行政院版
transcript.whisperx[37].start 203
transcript.whisperx[37].end 207
transcript.whisperx[37].text 跟國民黨版的2400億差別在哪裡?
transcript.whisperx[38].start 207
transcript.whisperx[38].end 214
transcript.whisperx[38].text 我們打個比方好了,父母給孩子求學中的孩子每個月1萬塊的生活費
transcript.whisperx[39].start 214
transcript.whisperx[39].end 219
transcript.whisperx[39].text 孩子問爸爸媽媽說,哎呀,我需要電腦打報告,大概需要3萬塊
transcript.whisperx[40].start 219
transcript.whisperx[40].end 224
transcript.whisperx[40].text 父母說,好啊,我給你買好一點的,給你4萬塊的預算
transcript.whisperx[41].start 224
transcript.whisperx[41].end 228
transcript.whisperx[41].text 但是接下來又告訴你說,接下來每個月的生活費5千塊
transcript.whisperx[42].start 228
transcript.whisperx[42].end 233
transcript.whisperx[42].text 你分8個月存起來就可以買了,這不是笑話嗎?
transcript.whisperx[43].start 233
transcript.whisperx[43].end 238
transcript.whisperx[43].text 行政院表達我們需要2100億額外的特別預算
transcript.whisperx[44].start 238
transcript.whisperx[44].end 243
transcript.whisperx[44].text 在年度預算之外,要2100億的特別預算
transcript.whisperx[45].start 243
transcript.whisperx[45].end 249
transcript.whisperx[45].text 國民黨團很慷慨,說2100億太少了,我給你2400億
transcript.whisperx[46].start 249
transcript.whisperx[46].end 254
transcript.whisperx[46].text 但是分6年,每年的從你的年度預算扣400億下來發展
transcript.whisperx[47].start 254
transcript.whisperx[47].end 261
transcript.whisperx[47].text 這個叫做明給止砍,有給的更多嗎?沒有
transcript.whisperx[48].start 261
transcript.whisperx[48].end 266
transcript.whisperx[48].text 哪一個父母告訴你孩子這樣的話,一定是被他笑死,往下看
transcript.whisperx[49].start 266
transcript.whisperx[49].end 270
transcript.whisperx[49].text 所以說國民黨版的年度預算看得到吃不到
transcript.whisperx[50].start 270
transcript.whisperx[50].end 276
transcript.whisperx[50].text 我們看到最近的媒體報導,產業說什麼?需要可預期的國家資源
transcript.whisperx[51].start 276
transcript.whisperx[51].end 280
transcript.whisperx[51].text 很多產業在初期發展的時候,為什麼軍工產業
transcript.whisperx[52].start 280
transcript.whisperx[52].end 286
transcript.whisperx[52].text 因為民間多數不會採購,一定是靠國家的採購來支持
transcript.whisperx[53].start 286
transcript.whisperx[53].end 289
transcript.whisperx[53].text 試想目前我們看到無人載具的最大應用是在哪裡?
transcript.whisperx[54].start 289
transcript.whisperx[54].end 295
transcript.whisperx[54].text 是在噴農藥嗎?是在空拍嗎?是在海上救援嗎?錯
transcript.whisperx[55].start 295
transcript.whisperx[55].end 298
transcript.whisperx[55].text 現在台灣跟世界各地大家看到無人載具最大應用
transcript.whisperx[56].start 298
transcript.whisperx[56].end 305
transcript.whisperx[56].text 就是在二戰爭的戰場上,看到了無人機大量的減少守方的人員傷亡
transcript.whisperx[57].start 305
transcript.whisperx[57].end 312
transcript.whisperx[57].text 它用不對稱的戰役方式,造成了給侵略者非常大的一個制衡
transcript.whisperx[58].start 312
transcript.whisperx[58].end 317
transcript.whisperx[58].text 我們看到烏克蘭的無人機飛越一兩千公里去轟炸俄羅斯
transcript.whisperx[59].start 317
transcript.whisperx[59].end 320
transcript.whisperx[59].text 包括西伯利亞的煉油廠,告訴侵略者
transcript.whisperx[60].start 320
transcript.whisperx[60].end 325
transcript.whisperx[60].text 侵略者不能憑藉你的人多,不能憑藉你的炮火力,犀利
transcript.whisperx[61].start 325
transcript.whisperx[61].end 328
transcript.whisperx[61].text 你就可以任意的去欺負鄰居
transcript.whisperx[62].start 328
transcript.whisperx[62].end 333
transcript.whisperx[62].text 台灣跟其他民主國家需要這樣的方式來告訴全世界
transcript.whisperx[63].start 333
transcript.whisperx[63].end 337
transcript.whisperx[63].text 這些野心的侵略國家不可輕舉妄動
transcript.whisperx[64].start 337
transcript.whisperx[64].end 344
transcript.whisperx[64].text 結果我們看到國民黨的預算,年年拖啊,去年也拖,今年也拖
transcript.whisperx[65].start 344
transcript.whisperx[65].end 349
transcript.whisperx[65].text 我們行政院在依憲法有法定預算的編制權
transcript.whisperx[66].start 349
transcript.whisperx[66].end 352
transcript.whisperx[66].text 送到立法院,立法院當然可以審查
transcript.whisperx[67].start 352
transcript.whisperx[67].end 354
transcript.whisperx[67].text 認為太多當然可以砍
transcript.whisperx[68].start 354
transcript.whisperx[68].end 358
transcript.whisperx[68].text 但是沒有荒唐到說今年的預算到現在快八月了
transcript.whisperx[69].start 358
transcript.whisperx[69].end 360
transcript.whisperx[69].text 立法院還沒有完成審查
transcript.whisperx[70].start 360
transcript.whisperx[70].end 363
transcript.whisperx[70].text 這是破天荒的憲政恥辱
transcript.whisperx[71].start 363
transcript.whisperx[71].end 366
transcript.whisperx[71].text 立法院的多數應該要來面對,往下看
transcript.whisperx[72].start 366
transcript.whisperx[72].end 368
transcript.whisperx[72].text 所以我們再來看
transcript.whisperx[73].start 368
transcript.whisperx[73].end 371
transcript.whisperx[73].text 好,所以兩手策略先砍再補償啊
transcript.whisperx[74].start 371
transcript.whisperx[74].end 374
transcript.whisperx[74].text 對不起,上一頁,第五頁
transcript.whisperx[75].start 374
transcript.whisperx[75].end 377
transcript.whisperx[75].text 所以國民黨,對不起再往上跳
transcript.whisperx[76].start 377
transcript.whisperx[76].end 384
transcript.whisperx[76].text 好,我們看到了這是國民黨目前提出來的2400億6年的年度預算
transcript.whisperx[77].start 384
transcript.whisperx[77].end 385
transcript.whisperx[77].text 好,往下看
transcript.whisperx[78].start 385
transcript.whisperx[78].end 388
transcript.whisperx[78].text 但是現在就在前天剛剛說了
transcript.whisperx[79].start 388
transcript.whisperx[79].end 395
transcript.whisperx[79].text 442億無人載具的統籌型計畫分在未來的六年要執行的
transcript.whisperx[80].start 395
transcript.whisperx[80].end 401
transcript.whisperx[80].text 國民黨黨團已經先放話,說要通通刪掉
transcript.whisperx[81].start 401
transcript.whisperx[81].end 406
transcript.whisperx[81].text 那結果呢,先刪1.25兆當中的4700億
transcript.whisperx[82].start 406
transcript.whisperx[82].end 410
transcript.whisperx[82].text 在喊停6年的無人載具產業發展統籌型計畫
transcript.whisperx[83].start 410
transcript.whisperx[83].end 415
transcript.whisperx[83].text 立法院不是用預算權,在預算審查的時候進行刪除
transcript.whisperx[84].start 415
transcript.whisperx[84].end 421
transcript.whisperx[84].text 而是透過憲政機關目前他對立法院有載製的多數
transcript.whisperx[85].start 421
transcript.whisperx[85].end 424
transcript.whisperx[85].text 他先放話,恐嚇行政權
transcript.whisperx[86].start 424
transcript.whisperx[86].end 427
transcript.whisperx[86].text 這不是憲政機關應有的作為,往下看
transcript.whisperx[87].start 427
transcript.whisperx[87].end 432
transcript.whisperx[87].text 所以在這之後,社會集體反彈,業者反彈,民眾很疑惑
transcript.whisperx[88].start 432
transcript.whisperx[88].end 437
transcript.whisperx[88].text 難道國民黨是希望年輕人上戰場,還是無人機上戰場
transcript.whisperx[89].start 437
transcript.whisperx[89].end 441
transcript.whisperx[89].text 結果就有賴斯堡委員得到43個連署
transcript.whisperx[90].start 441
transcript.whisperx[90].end 447
transcript.whisperx[90].text 所以我們合理的認為,賴斯堡委員的提案是代表著國民黨的留一手
transcript.whisperx[91].start 447
transcript.whisperx[91].end 452
transcript.whisperx[91].text 他說我砍了你4700億,我又否定了你的442億
transcript.whisperx[92].start 452
transcript.whisperx[92].end 454
transcript.whisperx[92].text 我會補給你500億
transcript.whisperx[93].start 454
transcript.whisperx[93].end 457
transcript.whisperx[93].text 什麼方式?特別預算
transcript.whisperx[94].start 457
transcript.whisperx[94].end 461
transcript.whisperx[94].text 國民黨不是口口聲聲說,在預算說特別預算不需要嗎?
transcript.whisperx[95].start 461
transcript.whisperx[95].end 464
transcript.whisperx[95].text 是債留子孫嗎?現在他也說了500億可以啊
transcript.whisperx[96].start 464
transcript.whisperx[96].end 469
transcript.whisperx[96].text 2000億是債留子孫,500億是什麼?500億是給你棒棒糖安慰你啊
transcript.whisperx[97].start 469
transcript.whisperx[97].end 473
transcript.whisperx[97].text 所以我們看到了,先砍國防部2100億,又給經濟部2400億
transcript.whisperx[98].start 473
transcript.whisperx[98].end 478
transcript.whisperx[98].text 然後呢,現在統三442億,現在又提案要給500億
transcript.whisperx[99].start 478
transcript.whisperx[99].end 482
transcript.whisperx[99].text 剛剛有發言的專家說,我們看到的是行政院版
transcript.whisperx[100].start 482
transcript.whisperx[100].end 485
transcript.whisperx[100].text 他可能沒有看到有賴斯堡的版本
transcript.whisperx[101].start 485
transcript.whisperx[101].end 489
transcript.whisperx[101].text 賴斯堡的版本,連署的都是國民黨的委員,往下看
transcript.whisperx[102].start 489
transcript.whisperx[102].end 493
transcript.whisperx[102].text 所以我們很清楚的要告訴我們的社會大眾
transcript.whisperx[103].start 493
transcript.whisperx[103].end 496
transcript.whisperx[103].text 其實目前,對不起
transcript.whisperx[104].start 496
transcript.whisperx[104].end 501
transcript.whisperx[104].text 我們是支持行政院版的自主無人載具採購特別條例
transcript.whisperx[105].start 501
transcript.whisperx[105].end 503
transcript.whisperx[105].text 以特別預算的方式編列後事國防
transcript.whisperx[106].start 503
transcript.whisperx[106].end 506
transcript.whisperx[106].text 我們對於在野黨兩手策略的年度預算
transcript.whisperx[107].start 506
transcript.whisperx[107].end 509
transcript.whisperx[107].text 化蛇添足,看到到吃不到,先砍再補,杯水車薪
transcript.whisperx[108].start 509
transcript.whisperx[108].end 512
transcript.whisperx[108].text 唐薩外界的質疑
transcript.whisperx[109].start 512
transcript.whisperx[109].end 514
transcript.whisperx[109].text 接下來呢,我要說明的
transcript.whisperx[110].start 514
transcript.whisperx[110].end 519
transcript.whisperx[110].text 在昨天已經通過院會交付本委員審查的四個版本當中
transcript.whisperx[111].start 519
transcript.whisperx[111].end 522
transcript.whisperx[111].text 包括本席的版本
transcript.whisperx[112].start 522
transcript.whisperx[112].end 529
transcript.whisperx[112].text 其實當中,除了也是參照行政院2100億的特別預算額度之外
transcript.whisperx[113].start 529
transcript.whisperx[113].end 532
transcript.whisperx[113].text 這裡呢,回應剛剛有學者專家提出來的
transcript.whisperx[114].start 532
transcript.whisperx[114].end 535
transcript.whisperx[114].text 有沒有包含產業發展的部分,有的
transcript.whisperx[115].start 535
transcript.whisperx[115].end 537
transcript.whisperx[115].text 有的,有的
transcript.whisperx[116].start 537
transcript.whisperx[116].end 540
transcript.whisperx[116].text 我們的版本有包含產業發展的部分
transcript.whisperx[117].start 540
transcript.whisperx[117].end 544
transcript.whisperx[117].text 那麼關於到這裡面,有一些有提到說
transcript.whisperx[118].start 544
transcript.whisperx[118].end 548
transcript.whisperx[118].text 如果現在國防採購有弊案,有廠商不無資格
transcript.whisperx[119].start 548
transcript.whisperx[119].end 552
transcript.whisperx[119].text 有依條約不能履約
transcript.whisperx[120].start 552
transcript.whisperx[120].end 554
transcript.whisperx[120].text 那我們很好奇啊
transcript.whisperx[121].start 554
transcript.whisperx[121].end 558
transcript.whisperx[121].text 最近媒體報導上看到的什麼馬桶製造商啊
transcript.whisperx[122].start 558
transcript.whisperx[122].end 560
transcript.whisperx[122].text 可以來賣炸藥啦
transcript.whisperx[123].start 560
transcript.whisperx[123].end 562
transcript.whisperx[123].text 這樣的一個形容充斥著在野黨的言論
transcript.whisperx[124].start 562
transcript.whisperx[124].end 564
transcript.whisperx[124].text 但是我們看到背後是什麼
transcript.whisperx[125].start 564
transcript.whisperx[125].end 568
transcript.whisperx[125].text 不要的是假質詢之名,行破壞之實
transcript.whisperx[126].start 568
transcript.whisperx[126].end 571
transcript.whisperx[126].text 台灣的國防採購非常的辛苦
transcript.whisperx[127].start 571
transcript.whisperx[127].end 574
transcript.whisperx[127].text 在國際市場上要突破中共的打壓
transcript.whisperx[128].start 574
transcript.whisperx[128].end 578
transcript.whisperx[128].text 取得這些供應商他們難得的供應的來源
transcript.whisperx[129].start 578
transcript.whisperx[129].end 580
transcript.whisperx[129].text 往往要透過不同的管道
transcript.whisperx[130].start 580
transcript.whisperx[130].end 585
transcript.whisperx[130].text 更何況,如果用這種廠商資格來質疑採購的正當性
transcript.whisperx[131].start 585
transcript.whisperx[131].end 587
transcript.whisperx[131].text 跟他的供應的能力的話
transcript.whisperx[132].start 587
transcript.whisperx[132].end 590
transcript.whisperx[132].text 現在我們看到的無人載具的產業
transcript.whisperx[133].start 590
transcript.whisperx[133].end 594
transcript.whisperx[133].text 哪一個是向美國傳統的軍工大廠所提供的
transcript.whisperx[134].start 594
transcript.whisperx[134].end 596
transcript.whisperx[134].text 都是新創公司
transcript.whisperx[135].start 596
transcript.whisperx[135].end 599
transcript.whisperx[135].text 而且迭代更新提到反制無人機
transcript.whisperx[136].start 599
transcript.whisperx[136].end 601
transcript.whisperx[136].text 其實這是台灣更重要的事情
transcript.whisperx[137].start 601
transcript.whisperx[137].end 604
transcript.whisperx[137].text 反制無人機這種當然還在發展中
transcript.whisperx[138].start 604
transcript.whisperx[138].end 607
transcript.whisperx[138].text 就是因為在發展中能夠先取得的國家
transcript.whisperx[139].start 607
transcript.whisperx[139].end 610
transcript.whisperx[139].text 才能夠在未來面對對方用無人機來攻擊
transcript.whisperx[140].start 610
transcript.whisperx[140].end 614
transcript.whisperx[140].text 我們才有防禦上的這樣的可行性
transcript.whisperx[141].start 614
transcript.whisperx[141].end 617
transcript.whisperx[141].text 所以現在的軍工產業國防採購
transcript.whisperx[142].start 617
transcript.whisperx[142].end 623
transcript.whisperx[142].text 不是在產購成熟的高大富的傳統軍備
transcript.whisperx[143].start 623
transcript.whisperx[143].end 627
transcript.whisperx[143].text 我們要投資未來型的防衛性的武器
transcript.whisperx[144].start 627
transcript.whisperx[144].end 629
transcript.whisperx[144].text 就是無人載具
transcript.whisperx[145].start 629
transcript.whisperx[145].end 633
transcript.whisperx[145].text 希望我們在野黨的朋友能夠秉持國家利益優先
transcript.whisperx[146].start 633
transcript.whisperx[146].end 637
transcript.whisperx[146].text 能夠來支持行政院版的2100億特別預算
transcript.whisperx[147].start 637
transcript.whisperx[147].end 638
transcript.whisperx[147].text 謝謝