iVOD / 160277

Field Value
IVOD_ID 160277
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160277
日期 2025-04-16
會議資料.會議代碼 委員會-11-3-23-7
會議資料.會議代碼:str 第11屆第3會期交通委員會第7次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 7
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第3會期交通委員會第7次全體委員會議
影片種類 Clip
開始時間 2025-04-16T13:04:14+08:00
結束時間 2025-04-16T13:12:23+08:00
影片長度 00:08:09
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f9d2e74df98279dfa6628fcac630a287f316f6363e53358e2021fb25ab74fd83f7e81291b4dfc0de5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 13:04:14 - 13:12:23
會議時間 2025-04-16T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通委員會第7次全體委員會議(事由:一、邀請交通部部長陳世凱列席報告業務概況,並備質詢。 二、邀請交通部部長、經濟部次長、外交部次長、財政部次長、行政院經貿談判辦公室就「美國課徵對等關稅對我國交通公私部門之衝擊與因應」進行專題報告,並備質詢。 【4月16日及17日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 3.25409375
transcript.pyannote[0].end 13.56471875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 12.34971875
transcript.pyannote[1].end 12.65346875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 13.69971875
transcript.pyannote[2].end 14.44221875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.91909375
transcript.pyannote[3].end 20.68596875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 20.83784375
transcript.pyannote[4].end 22.91346875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 23.41971875
transcript.pyannote[5].end 24.82034375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 31.21596875
transcript.pyannote[6].end 47.12909375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 47.41596875
transcript.pyannote[7].end 48.64784375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 48.98534375
transcript.pyannote[8].end 55.39784375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 56.15721875
transcript.pyannote[9].end 67.61534375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 69.06659375
transcript.pyannote[10].end 71.46284375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 73.06596875
transcript.pyannote[11].end 74.31471875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 73.11659375
transcript.pyannote[12].end 73.45409375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 73.92659375
transcript.pyannote[13].end 75.14159375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 75.83346875
transcript.pyannote[14].end 81.45284375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 81.63846875
transcript.pyannote[15].end 81.75659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 81.75659375
transcript.pyannote[16].end 81.80721875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 81.80721875
transcript.pyannote[17].end 82.02659375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 82.02659375
transcript.pyannote[18].end 83.41034375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 84.52409375
transcript.pyannote[19].end 98.24346875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 98.64846875
transcript.pyannote[20].end 101.34846875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 102.36096875
transcript.pyannote[21].end 103.96409375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 102.98534375
transcript.pyannote[22].end 103.00221875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 103.00221875
transcript.pyannote[23].end 103.89659375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 104.18346875
transcript.pyannote[24].end 112.82346875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 107.98034375
transcript.pyannote[25].end 108.68909375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 112.94159375
transcript.pyannote[26].end 117.51471875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 118.79721875
transcript.pyannote[27].end 120.41721875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 120.19784375
transcript.pyannote[28].end 124.70346875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 122.54346875
transcript.pyannote[29].end 122.62784375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 125.41221875
transcript.pyannote[30].end 126.18846875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 126.49221875
transcript.pyannote[31].end 127.77471875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 128.24721875
transcript.pyannote[32].end 129.17534375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 129.66471875
transcript.pyannote[33].end 132.56721875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 132.93846875
transcript.pyannote[34].end 134.99721875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 135.43596875
transcript.pyannote[35].end 138.13596875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 138.32159375
transcript.pyannote[36].end 140.11034375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 140.39721875
transcript.pyannote[37].end 143.36721875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 144.10971875
transcript.pyannote[38].end 147.75471875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 147.83909375
transcript.pyannote[39].end 149.61096875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 150.01596875
transcript.pyannote[40].end 151.12971875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 151.38284375
transcript.pyannote[41].end 152.73284375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 153.72846875
transcript.pyannote[42].end 160.34346875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 156.12471875
transcript.pyannote[43].end 156.91784375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 160.27596875
transcript.pyannote[44].end 163.38096875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 164.66346875
transcript.pyannote[45].end 170.55284375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 170.55284375
transcript.pyannote[46].end 173.23596875
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 171.05909375
transcript.pyannote[47].end 171.29534375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 173.77596875
transcript.pyannote[48].end 177.50534375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 176.93159375
transcript.pyannote[49].end 177.99471875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 177.72471875
transcript.pyannote[50].end 178.92284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 178.92284375
transcript.pyannote[51].end 179.69909375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 180.10409375
transcript.pyannote[52].end 181.25159375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 181.72409375
transcript.pyannote[53].end 183.73221875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 185.80784375
transcript.pyannote[54].end 192.59159375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 193.04721875
transcript.pyannote[55].end 196.45596875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 196.96221875
transcript.pyannote[56].end 198.26159375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 199.47659375
transcript.pyannote[57].end 201.88971875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 202.75034375
transcript.pyannote[58].end 207.13784375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 207.59346875
transcript.pyannote[59].end 210.29346875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 210.83346875
transcript.pyannote[60].end 215.50784375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 215.94659375
transcript.pyannote[61].end 216.84096875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 218.10659375
transcript.pyannote[62].end 219.37221875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 219.60846875
transcript.pyannote[63].end 219.92909375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 220.24971875
transcript.pyannote[64].end 223.54034375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 223.86096875
transcript.pyannote[65].end 227.30346875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 227.62409375
transcript.pyannote[66].end 228.16409375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 228.48471875
transcript.pyannote[67].end 230.61096875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 231.20159375
transcript.pyannote[68].end 231.55596875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 231.77534375
transcript.pyannote[69].end 232.48409375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 233.12534375
transcript.pyannote[70].end 233.37846875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 233.59784375
transcript.pyannote[71].end 237.78284375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 237.78284375
transcript.pyannote[72].end 238.06971875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 238.74471875
transcript.pyannote[73].end 243.40221875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 243.92534375
transcript.pyannote[74].end 247.53659375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 247.70534375
transcript.pyannote[75].end 250.05096875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 250.20284375
transcript.pyannote[76].end 251.70471875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 252.66659375
transcript.pyannote[77].end 254.92784375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 255.04596875
transcript.pyannote[78].end 258.28596875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 258.40409375
transcript.pyannote[79].end 259.14659375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 260.59784375
transcript.pyannote[80].end 261.88034375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 261.42471875
transcript.pyannote[81].end 262.31909375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 262.72409375
transcript.pyannote[82].end 263.09534375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 263.90534375
transcript.pyannote[83].end 264.73221875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 264.95159375
transcript.pyannote[84].end 266.08221875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 266.08221875
transcript.pyannote[85].end 266.09909375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 266.67284375
transcript.pyannote[86].end 268.93409375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 269.71034375
transcript.pyannote[87].end 270.23346875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 270.57096875
transcript.pyannote[88].end 270.90846875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 271.11096875
transcript.pyannote[89].end 276.73034375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 276.12284375
transcript.pyannote[90].end 276.74721875
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 276.74721875
transcript.pyannote[91].end 285.15096875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 276.81471875
transcript.pyannote[92].end 276.84846875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 277.30409375
transcript.pyannote[93].end 277.99596875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 279.22784375
transcript.pyannote[94].end 280.74659375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 281.94471875
transcript.pyannote[95].end 282.73784375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 284.76284375
transcript.pyannote[96].end 287.09159375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 285.35346875
transcript.pyannote[97].end 285.38721875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 287.22659375
transcript.pyannote[98].end 293.47034375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 289.36971875
transcript.pyannote[99].end 290.78721875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 292.20471875
transcript.pyannote[100].end 294.41534375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 294.95534375
transcript.pyannote[101].end 296.44034375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 296.96346875
transcript.pyannote[102].end 297.26721875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 297.26721875
transcript.pyannote[103].end 299.20784375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 299.52846875
transcript.pyannote[104].end 300.18659375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 300.18659375
transcript.pyannote[105].end 301.41846875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 301.50284375
transcript.pyannote[106].end 302.68409375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 303.89909375
transcript.pyannote[107].end 304.77659375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 305.01284375
transcript.pyannote[108].end 305.38409375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 305.92409375
transcript.pyannote[109].end 307.44284375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 307.56096875
transcript.pyannote[110].end 308.97846875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 309.38346875
transcript.pyannote[111].end 311.20596875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 311.40846875
transcript.pyannote[112].end 312.67409375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 312.70784375
transcript.pyannote[113].end 314.61471875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 314.93534375
transcript.pyannote[114].end 314.96909375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 314.96909375
transcript.pyannote[115].end 315.10409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 315.10409375
transcript.pyannote[116].end 318.02346875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 318.96846875
transcript.pyannote[117].end 327.52409375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 328.89096875
transcript.pyannote[118].end 329.92034375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 329.73471875
transcript.pyannote[119].end 331.91159375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 332.43471875
transcript.pyannote[120].end 337.34534375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 337.88534375
transcript.pyannote[121].end 340.45034375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 341.22659375
transcript.pyannote[122].end 345.83346875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 346.12034375
transcript.pyannote[123].end 346.93034375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 348.71909375
transcript.pyannote[124].end 352.49909375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 352.51596875
transcript.pyannote[125].end 353.74784375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 354.64221875
transcript.pyannote[126].end 355.94159375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 357.71346875
transcript.pyannote[127].end 358.81034375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 359.14784375
transcript.pyannote[128].end 359.75534375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 359.95784375
transcript.pyannote[129].end 360.86909375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 360.91971875
transcript.pyannote[130].end 366.23534375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 366.64034375
transcript.pyannote[131].end 368.76659375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 368.95221875
transcript.pyannote[132].end 371.14596875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 371.78721875
transcript.pyannote[133].end 380.00534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 380.54534375
transcript.pyannote[134].end 381.77721875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 382.01346875
transcript.pyannote[135].end 383.22846875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 383.65034375
transcript.pyannote[136].end 385.11846875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 386.35034375
transcript.pyannote[137].end 386.75534375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 387.81846875
transcript.pyannote[138].end 388.76346875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 388.99971875
transcript.pyannote[139].end 390.82221875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 390.82221875
transcript.pyannote[140].end 390.85596875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 391.21034375
transcript.pyannote[141].end 392.88096875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 394.53471875
transcript.pyannote[142].end 397.75784375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 399.81659375
transcript.pyannote[143].end 400.62659375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 401.26784375
transcript.pyannote[144].end 402.02721875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 402.49971875
transcript.pyannote[145].end 403.51221875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 403.71471875
transcript.pyannote[146].end 404.10284375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 404.30534375
transcript.pyannote[147].end 405.48659375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 405.62159375
transcript.pyannote[148].end 405.80721875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 405.97596875
transcript.pyannote[149].end 418.63221875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 419.86409375
transcript.pyannote[150].end 420.33659375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 421.01159375
transcript.pyannote[151].end 422.29409375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 422.98596875
transcript.pyannote[152].end 426.07409375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 426.09096875
transcript.pyannote[153].end 429.39846875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 430.41096875
transcript.pyannote[154].end 432.65534375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 432.94221875
transcript.pyannote[155].end 437.76846875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 436.84034375
transcript.pyannote[156].end 437.63346875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 437.97096875
transcript.pyannote[157].end 448.38284375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 445.90221875
transcript.pyannote[158].end 447.04971875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 447.72471875
transcript.pyannote[159].end 450.20534375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 451.15034375
transcript.pyannote[160].end 452.70284375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 453.07409375
transcript.pyannote[161].end 454.45784375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 455.08221875
transcript.pyannote[162].end 455.55471875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 456.63471875
transcript.pyannote[163].end 458.76096875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 459.03096875
transcript.pyannote[164].end 459.04784375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 459.06471875
transcript.pyannote[165].end 461.51159375
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 459.13221875
transcript.pyannote[166].end 459.14909375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 461.79846875
transcript.pyannote[167].end 464.46471875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 464.98784375
transcript.pyannote[168].end 465.32534375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 465.52784375
transcript.pyannote[169].end 470.97846875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 471.63659375
transcript.pyannote[170].end 473.72909375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 474.11721875
transcript.pyannote[171].end 480.46221875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 480.64784375
transcript.pyannote[172].end 482.72346875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 482.84159375
transcript.pyannote[173].end 485.91284375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 486.70596875
transcript.pyannote[174].end 487.76909375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 487.85346875
transcript.pyannote[175].end 488.42721875
transcript.whisperx[0].start 3.454
transcript.whisperx[0].end 24.6
transcript.whisperx[0].text 主席在場委員先進列席的政府江蘇黨官員會長工作夥伴媒體記者女士先生先請交通部陳部長還有經濟部何次長和財政部的謝次長那另外的後半段要請港港局的葉局長港務公司的李董事長和陽明的蔡董事長準備好來那個陳部長還有我們政事
transcript.whisperx[1].start 31.4
transcript.whisperx[1].end 55.196
transcript.whisperx[1].text 部長好兩位次長好今天我的題目呢零關稅同盟不僅要杜絕息產地還要應對各種燃料建置管路儲槽好我們先看請看一下零關稅同盟唯獨中國會產生什麼結果首先中美雙方高關稅貨物就幾乎流通了但是美國要求跟他的同盟去中的自由貿易同盟包括日本台灣韓國歐盟加拿大
transcript.whisperx[2].start 56.192
transcript.whisperx[2].end 83.192
transcript.whisperx[2].text 我們呢組織一個零關稅的自由同盟而這些國家跟中國之間美國要求你特殊商品要貿易管制而且呢甚至也不排除要求對中國提高高關稅陳部長為什麼美國會有這個要求陳部長為什麼會有這些要求他大概對於整體的生產鏈過去的狀況是不滿意的他希望改變整個生產鏈的狀態好是但是下一頁
transcript.whisperx[3].start 84.571
transcript.whisperx[3].end 100.883
transcript.whisperx[3].text 就是要嚴防中國製品透過供應鏈從台灣銷到美國對不對現在兩格已經到145 125了但是如果中國貨透過來套套組裝再用零關稅同盟過去這是美國要防止的何市長經濟部是不是採取了這五大作為來防止遺產地
transcript.whisperx[4].start 103.302
transcript.whisperx[4].end 124.48
transcript.whisperx[4].text 監測宣傳重研裁罰建立名單還有反傾銷是是吧好謝謝往下看但是我們來談一個請部長看一下喔自由貿易港區的貨物原則上可以直接進出不需核准是不是這樣子是吧是是這樣所以呢我們在2024自由港的出口進出口呢突破三兆
transcript.whisperx[5].start 125.895
transcript.whisperx[5].end 152.322
transcript.whisperx[5].text 2024年貨櫃有300萬但是我們看一下如果是自由貿易港如果中國貨來到台灣組裝或自由貿易港再出去有沒有可能又或者說它中轉到其他國家越南再來才組裝再出去有沒有可能其中我知道這裡有一個東西兩件事情第一自由貿易港裡面進口的貨物再出去必須加值35%或者是形態有轉型謝市長是不是這樣子請跟泰光說
transcript.whisperx[6].start 154.13
transcript.whisperx[6].end 163.126
transcript.whisperx[6].text 不管是不是進入自由民主黨區要取得MIT一定要在台灣加持35%以上好 那請告訴我們怎麼防止中國或中轉入台
transcript.whisperx[7].start 165.191
transcript.whisperx[7].end 183.471
transcript.whisperx[7].text 這個部分我們跟經濟部貿易署這邊其實最近有一些強化措施來市長何市長有什麼強化措施跟委員報告我們會密切監控從大陸那五點對那七點好來陳部長我們看往下一題現在自貿區的主力貨物是哪些
transcript.whisperx[8].start 186.034
transcript.whisperx[8].end 200.427
transcript.whisperx[8].text 電子產品為主在這裡電子、生衣、自行車組裝對不對對2025還要加上台北港變成車輛園區但是我們要怎麼樣哪些需要防止中國稀產地呢有沒有哪些要防止中國稀產地這裡面桃園貢獻到2.4兆
transcript.whisperx[9].start 203.116
transcript.whisperx[9].end 216.654
transcript.whisperx[9].text 提示一下2018年到2024年經濟部根據自由港條例第16條到歐盟英國跟美國的這些自行車電動輔助自行車鋁製輪胎圈還有部分的鋼鐵製品要先行核准為什麼要先行核准
transcript.whisperx[10].start 218.137
transcript.whisperx[10].end 243.203
transcript.whisperx[10].text 因為最容易被洗產地對所以自貿港的確可能是一個洗產地的破口往下看好那請問自貿區怎麼防止洗產地來 謝市長你過去擔任關務署是不是我們這兩個防查核貨物的帳戶電腦連線認定進口物的原產地是不是這樣是好 何市長那你們貿易署是不是透過這兩個方式來確定避免中國洗產地
transcript.whisperx[11].start 245.412
transcript.whisperx[11].end 261.827
transcript.whisperx[11].text 監測貿易量然後簽發原產地證明那請問這個主管機關管理機關陳部長這就你的囉如何協助查處公司的物流金流2018年到現在自貿區查獲違規運轉43件罰了多少錢是不是你們罰的違規的轉運是海關是海關罰的是關務署罰的是不是
transcript.whisperx[12].start 271.703
transcript.whisperx[12].end 296.192
transcript.whisperx[12].text 跟吳委員報告一下是海關去查核發現不核的話我們會依請誰裁罰對誰裁罰應該是交通部因為我們是依照自貿港區那個管理條例的法令來處罰啦好來處罰那誰裁罰你看就是這樣來了發財主是我們海關來發沒有錯但是法據是交通部交通部主管陳部長你的責任來了嚴重的話可不可以廢止許可
transcript.whisperx[13].start 297.372
transcript.whisperx[13].end 316.989
transcript.whisperx[13].text 可以有沒有廢止許可過到目前沒有所以說這件事情誰統籌市交通部統籌部長接下來中國新產地的事情有公務署有貿易署但是港口的部分是交通部市交通部承諾要防止自貿區洗產地可以嗎好謝謝接下來很快的進行兩個題目來
transcript.whisperx[14].start 319.005
transcript.whisperx[14].end 346.776
transcript.whisperx[14].text 天然氣進口我們知道本來是跟澳洲卡達美國買的少現在跟美國買請問部長你認為接下來澳洲的天然氣要賣給誰這個我不曉得不曉得來澳洲會怎麼做來往下看澳洲都會想說我天然氣銷量少了我跟太陽能我來做什麼做濾清我可以高溫裂解碳補濾之後呢我變藍青太陽能光電電解水濾青然後我透過液態氫或液態氨的方式出口台灣需不需要
transcript.whisperx[15].start 348.786
transcript.whisperx[15].end 353.517
transcript.whisperx[15].text 所以如果我們跟澳洲買天然氣澳洲轉型做綠青藍青我們跟澳洲買不買買怎麼運來台灣
transcript.whisperx[16].start 357.725
transcript.whisperx[16].end 384.446
transcript.whisperx[16].text 好往下看這是對這是陸特丹陸特丹作為歐洲對歐洲未來的能源港生產進口管道運輸加清站他都一併的準備了所以接下來會做什麼事情往下看所以呢港區要對應各種燃料現在請我們的航港局請我們的陽明海運請我們的港務公司告訴我先請問陽明海運長榮訂了多少的多燃料產長榮
transcript.whisperx[17].start 388.069
transcript.whisperx[17].end 397.566
transcript.whisperx[17].text 還沒有這出現長榮訂的船要問陽明我要問他同業競爭啊長榮訂了多少艘不同的非傳統燃料船
transcript.whisperx[18].start 400.238
transcript.whisperx[18].end 422.199
transcript.whisperx[18].text 18艘啦是艘什麼的都是Methyl對就是多元燃料所以未來我們的港口進來的船舶會多元燃料卸載的也是多元的能源請問一下這些多元能源要不要專用管路不管是氫不管是鞍還是液化天然氣要專用的儲槽陳部長您的港口準備好了沒有
transcript.whisperx[19].start 423.158
transcript.whisperx[19].end 449.858
transcript.whisperx[19].text 報告委員您現在提醒之後我們來想辦法準備好謝謝我不只現在才提醒我過去提醒來李董事長我有沒有問過你那個跟夏業委員報告一下這兩種目前在船的話就是LNG跟MISO那MISO比較少但LNG的話我們目前是在台中港來配合還有永安這邊那目前好來問幾句何市長你們天然氣結構站可以接收安可以接收清嗎
transcript.whisperx[20].start 451.189
transcript.whisperx[20].end 470.696
transcript.whisperx[20].text 你們現在籌備的天然氣接收站可以接收安可以接收清嗎經濟部你們只能接收LNG天然氣啦因為這三者的議題的費點不一樣所以管線也要不一樣所以我要提醒陳部長經濟部的天然氣接收站要怎麼去配合經濟部的事情但是請交通部可不可以責成港務局
transcript.whisperx[21].start 471.767
transcript.whisperx[21].end 487.969
transcript.whisperx[21].text 航港局港務公司還有你們所屬的可以指導的陽明海運盡快的對多元燃料船還有港部地區的管路儲槽跟槽車往下看進行準備並且一個月提出書面報告可以嗎可以好 謝謝