iVOD / 160639

Field Value
IVOD_ID 160639
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160639
日期 2025-04-24
會議資料.會議代碼 委員會-11-3-26-7
會議資料.會議代碼:str 第11屆第3會期社會福利及衛生環境委員會第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] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第3會期社會福利及衛生環境委員會第7次全體委員會議
影片種類 Clip
開始時間 2025-04-24T11:11:02+08:00
結束時間 2025-04-24T11:23:18+08:00
影片長度 00:12:16
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5e1f7c3e1748c6e57187b723749df3449742596ee20a55b87970360821fa2dae6dbb4e661cf025135ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蘇清泉
委員發言時間 11:11:02 - 11:23:18
會議時間 2025-04-24T09:00:00+08:00
會議名稱 立法院第11屆第3會期社會福利及衛生環境委員會第7次全體委員會議(事由:邀請衛生福利部部長、農業部次長、經濟部次長、外交部次長、行政院經貿談判辦公室副總談判代表、行政院食品安全辦公室主任針對「美豬、美牛進口零關稅且如何保障國人食品安全及農民權益」進行專題報告,並備質詢。 【4月23日及24日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 20.85471875
transcript.pyannote[0].end 22.96409375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 24.73596875
transcript.pyannote[1].end 25.41096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 26.65971875
transcript.pyannote[2].end 27.31784375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 27.87471875
transcript.pyannote[3].end 29.44409375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 28.46534375
transcript.pyannote[4].end 29.25846875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 30.03471875
transcript.pyannote[5].end 30.74346875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 31.97534375
transcript.pyannote[6].end 32.68409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 32.75159375
transcript.pyannote[7].end 33.94971875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 40.90221875
transcript.pyannote[8].end 41.34096875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 42.45471875
transcript.pyannote[9].end 43.83846875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 44.39534375
transcript.pyannote[10].end 45.07034375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 45.96471875
transcript.pyannote[11].end 47.58471875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 48.14159375
transcript.pyannote[12].end 50.36909375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 50.92596875
transcript.pyannote[13].end 53.69346875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 55.44846875
transcript.pyannote[14].end 58.68846875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 59.21159375
transcript.pyannote[15].end 61.62471875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 61.70909375
transcript.pyannote[16].end 65.35409375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 66.09659375
transcript.pyannote[17].end 68.34096875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 69.47159375
transcript.pyannote[18].end 70.58534375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 71.07471875
transcript.pyannote[19].end 74.83784375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 75.15846875
transcript.pyannote[20].end 78.44909375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 78.70221875
transcript.pyannote[21].end 80.37284375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 81.21659375
transcript.pyannote[22].end 82.24596875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 82.81971875
transcript.pyannote[23].end 83.96721875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 84.28784375
transcript.pyannote[24].end 86.43096875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 87.34221875
transcript.pyannote[25].end 90.09284375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 90.48096875
transcript.pyannote[26].end 98.98596875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 100.30221875
transcript.pyannote[27].end 102.90096875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 103.76159375
transcript.pyannote[28].end 105.48284375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 106.29284375
transcript.pyannote[29].end 107.79471875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 109.06034375
transcript.pyannote[30].end 110.47784375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 111.10221875
transcript.pyannote[31].end 113.66721875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 115.27034375
transcript.pyannote[32].end 119.37096875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 120.02909375
transcript.pyannote[33].end 122.03721875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 123.74159375
transcript.pyannote[34].end 124.21409375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 125.31096875
transcript.pyannote[35].end 128.34846875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 129.39471875
transcript.pyannote[36].end 133.22534375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 133.71471875
transcript.pyannote[37].end 134.38971875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 134.96346875
transcript.pyannote[38].end 137.15721875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 138.01784375
transcript.pyannote[39].end 140.51534375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 140.56596875
transcript.pyannote[40].end 142.65846875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 143.08034375
transcript.pyannote[41].end 153.08721875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 154.30221875
transcript.pyannote[42].end 155.44971875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 155.63534375
transcript.pyannote[43].end 156.66471875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 157.08659375
transcript.pyannote[44].end 157.64346875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 157.98096875
transcript.pyannote[45].end 160.19159375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 158.14971875
transcript.pyannote[46].end 161.18721875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 161.25471875
transcript.pyannote[47].end 162.99284375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 162.99284375
transcript.pyannote[48].end 163.63409375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 163.83659375
transcript.pyannote[49].end 165.38909375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 165.76034375
transcript.pyannote[50].end 167.86971875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 168.44346875
transcript.pyannote[51].end 168.88221875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 170.53596875
transcript.pyannote[52].end 180.40784375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 180.67784375
transcript.pyannote[53].end 185.60534375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 185.72346875
transcript.pyannote[54].end 187.22534375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 187.86659375
transcript.pyannote[55].end 193.58721875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 193.92471875
transcript.pyannote[56].end 194.66721875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 194.98784375
transcript.pyannote[57].end 203.37471875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 203.72909375
transcript.pyannote[58].end 215.28846875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 215.49096875
transcript.pyannote[59].end 218.78159375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 218.88284375
transcript.pyannote[60].end 221.53221875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 221.73471875
transcript.pyannote[61].end 233.34471875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 233.61471875
transcript.pyannote[62].end 242.65971875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 243.92534375
transcript.pyannote[63].end 254.21909375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 254.45534375
transcript.pyannote[64].end 257.20596875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 257.34096875
transcript.pyannote[65].end 263.01096875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 264.36096875
transcript.pyannote[66].end 273.28784375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 273.45659375
transcript.pyannote[67].end 274.89096875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 275.61659375
transcript.pyannote[68].end 277.99596875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 278.35034375
transcript.pyannote[69].end 279.75096875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 280.30784375
transcript.pyannote[70].end 280.99971875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 281.74221875
transcript.pyannote[71].end 289.63971875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 289.82534375
transcript.pyannote[72].end 293.08221875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 294.65159375
transcript.pyannote[73].end 297.25034375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 297.84096875
transcript.pyannote[74].end 299.61284375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 300.10221875
transcript.pyannote[75].end 300.79409375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 301.26659375
transcript.pyannote[76].end 303.56159375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 304.23659375
transcript.pyannote[77].end 305.08034375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 305.19846875
transcript.pyannote[78].end 306.09284375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 307.03784375
transcript.pyannote[79].end 308.82659375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 309.36659375
transcript.pyannote[80].end 309.70409375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 309.90659375
transcript.pyannote[81].end 310.56471875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 311.74596875
transcript.pyannote[82].end 312.15096875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 312.45471875
transcript.pyannote[83].end 313.45034375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 313.85534375
transcript.pyannote[84].end 314.98596875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 315.79596875
transcript.pyannote[85].end 317.11221875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 317.60159375
transcript.pyannote[86].end 318.63096875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 318.63096875
transcript.pyannote[87].end 319.32284375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 319.18784375
transcript.pyannote[88].end 321.98909375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 322.32659375
transcript.pyannote[89].end 323.17034375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 323.81159375
transcript.pyannote[90].end 325.48221875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 325.88721875
transcript.pyannote[91].end 330.96659375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 329.27909375
transcript.pyannote[92].end 333.39659375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 332.92409375
transcript.pyannote[93].end 334.42596875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 334.51034375
transcript.pyannote[94].end 339.92721875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 340.55159375
transcript.pyannote[95].end 340.83846875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 341.36159375
transcript.pyannote[96].end 342.82971875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 343.13346875
transcript.pyannote[97].end 346.60971875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 346.94721875
transcript.pyannote[98].end 351.57096875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 351.03096875
transcript.pyannote[99].end 352.34721875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 352.34721875
transcript.pyannote[100].end 359.89034375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 359.72159375
transcript.pyannote[101].end 360.91971875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 361.57784375
transcript.pyannote[102].end 364.02471875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 365.05409375
transcript.pyannote[103].end 370.55534375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 367.41659375
transcript.pyannote[104].end 369.96471875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 369.96471875
transcript.pyannote[105].end 370.42034375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 370.90971875
transcript.pyannote[106].end 372.10784375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 372.61409375
transcript.pyannote[107].end 375.09471875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 375.26346875
transcript.pyannote[108].end 380.17409375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 380.89971875
transcript.pyannote[109].end 384.98346875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 385.45596875
transcript.pyannote[110].end 386.90721875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 388.37534375
transcript.pyannote[111].end 390.58596875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 390.87284375
transcript.pyannote[112].end 391.22721875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 391.58159375
transcript.pyannote[113].end 391.66596875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 392.83034375
transcript.pyannote[114].end 393.65721875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 394.70346875
transcript.pyannote[115].end 396.59346875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 397.30221875
transcript.pyannote[116].end 400.32284375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 400.40721875
transcript.pyannote[117].end 402.49971875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 402.92159375
transcript.pyannote[118].end 403.29284375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 403.29284375
transcript.pyannote[119].end 403.56284375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 404.33909375
transcript.pyannote[120].end 404.64284375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 405.23346875
transcript.pyannote[121].end 416.06721875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 417.02909375
transcript.pyannote[122].end 419.93159375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 420.91034375
transcript.pyannote[123].end 423.13784375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 423.84659375
transcript.pyannote[124].end 436.57034375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 437.00909375
transcript.pyannote[125].end 438.66284375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 438.98346875
transcript.pyannote[126].end 441.00846875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 441.73409375
transcript.pyannote[127].end 444.09659375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 444.40034375
transcript.pyannote[128].end 445.63221875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 446.50971875
transcript.pyannote[129].end 448.41659375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 448.97346875
transcript.pyannote[130].end 450.35721875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 450.86346875
transcript.pyannote[131].end 451.90971875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 452.17971875
transcript.pyannote[132].end 458.42346875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 458.92971875
transcript.pyannote[133].end 459.58784375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 460.36409375
transcript.pyannote[134].end 460.76909375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 461.30909375
transcript.pyannote[135].end 461.74784375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 462.65909375
transcript.pyannote[136].end 465.02159375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 465.52784375
transcript.pyannote[137].end 466.42221875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 467.40096875
transcript.pyannote[138].end 471.90659375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 472.12596875
transcript.pyannote[139].end 473.96534375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 474.72471875
transcript.pyannote[140].end 477.40784375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 477.89721875
transcript.pyannote[141].end 491.44784375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 491.65034375
transcript.pyannote[142].end 493.60784375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 493.79346875
transcript.pyannote[143].end 494.67096875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 495.19409375
transcript.pyannote[144].end 502.72034375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 502.78784375
transcript.pyannote[145].end 520.37159375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 520.45596875
transcript.pyannote[146].end 543.81096875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 544.89096875
transcript.pyannote[147].end 545.92034375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 546.25784375
transcript.pyannote[148].end 553.98659375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 554.72909375
transcript.pyannote[149].end 558.39096875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 559.18409375
transcript.pyannote[150].end 561.42846875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 561.81659375
transcript.pyannote[151].end 576.56534375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 576.98721875
transcript.pyannote[152].end 577.88159375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 578.57346875
transcript.pyannote[153].end 580.86846875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 581.34096875
transcript.pyannote[154].end 583.46721875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 583.97346875
transcript.pyannote[155].end 584.74971875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 584.93534375
transcript.pyannote[156].end 587.93909375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 588.49596875
transcript.pyannote[157].end 591.76971875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 591.66846875
transcript.pyannote[158].end 596.32596875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 596.32596875
transcript.pyannote[159].end 597.22034375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 596.56221875
transcript.pyannote[160].end 599.75159375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 598.14846875
transcript.pyannote[161].end 599.29596875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 599.80221875
transcript.pyannote[162].end 604.35846875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 604.37534375
transcript.pyannote[163].end 604.39221875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 604.40909375
transcript.pyannote[164].end 604.81409375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 605.32034375
transcript.pyannote[165].end 607.75034375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 606.02909375
transcript.pyannote[166].end 606.31596875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 607.63221875
transcript.pyannote[167].end 608.45909375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 607.78409375
transcript.pyannote[168].end 624.82784375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 624.82784375
transcript.pyannote[169].end 626.31284375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 626.31284375
transcript.pyannote[170].end 633.43409375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 633.70409375
transcript.pyannote[171].end 638.98596875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 637.58534375
transcript.pyannote[172].end 638.05784375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 638.69909375
transcript.pyannote[173].end 641.92221875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 641.82096875
transcript.pyannote[174].end 645.51659375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 646.39409375
transcript.pyannote[175].end 651.20346875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 651.52409375
transcript.pyannote[176].end 659.37096875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 659.91096875
transcript.pyannote[177].end 663.35346875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 663.40409375
transcript.pyannote[178].end 666.05346875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 666.79596875
transcript.pyannote[179].end 671.85846875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 671.53784375
transcript.pyannote[180].end 674.72721875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 672.98909375
transcript.pyannote[181].end 674.55846875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 674.89596875
transcript.pyannote[182].end 675.30096875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 675.18284375
transcript.pyannote[183].end 675.77346875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 675.89159375
transcript.pyannote[184].end 677.78159375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 676.49909375
transcript.pyannote[185].end 677.86596875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 678.08534375
transcript.pyannote[186].end 679.33409375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 679.33409375
transcript.pyannote[187].end 682.08471875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 681.71346875
transcript.pyannote[188].end 686.57346875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 682.10159375
transcript.pyannote[189].end 685.17284375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 686.96159375
transcript.pyannote[190].end 692.69909375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 692.71596875
transcript.pyannote[191].end 695.75346875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 696.20909375
transcript.pyannote[192].end 698.77409375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 699.38159375
transcript.pyannote[193].end 702.60471875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 703.04346875
transcript.pyannote[194].end 703.39784375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 703.97159375
transcript.pyannote[195].end 706.99221875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 707.68409375
transcript.pyannote[196].end 709.06784375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 709.11846875
transcript.pyannote[197].end 709.13534375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 709.13534375
transcript.pyannote[198].end 710.99159375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 709.32096875
transcript.pyannote[199].end 711.64971875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 712.15596875
transcript.pyannote[200].end 713.47221875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 714.06284375
transcript.pyannote[201].end 715.78409375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 716.08784375
transcript.pyannote[202].end 717.80909375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 718.14659375
transcript.pyannote[203].end 728.47409375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 728.79471875
transcript.pyannote[204].end 729.03096875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 730.66784375
transcript.pyannote[205].end 731.17409375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 731.24159375
transcript.pyannote[206].end 732.82784375
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 731.61284375
transcript.pyannote[207].end 732.65909375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 733.92471875
transcript.pyannote[208].end 734.21159375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 734.21159375
transcript.pyannote[209].end 735.67971875
transcript.whisperx[0].start 21.623
transcript.whisperx[0].end 33.212
transcript.whisperx[0].text 謝謝主席我請農業部杜次長來我們經貿辦嚴首席代表次長我們民眾館都要關市地市污都很多我們的養殖業也發達
transcript.whisperx[1].start 50.99
transcript.whisperx[1].end 80.009
transcript.whisperx[1].text 那我們台灣現在的漁業差不多近海捕魚近海魚撈跟遠洋魚撈差不多占45%差不多嘛那鄉網養殖跟岸上養殖差不多占55%那這件呢美國這樣搞下去我們才發現說這個農業是要好好的保護啦我跟你講一個data
transcript.whisperx[2].start 81.274
transcript.whisperx[2].end 107.467
transcript.whisperx[2].text 加薩走廊加薩走廊現在的難民差不多兩百萬人差不多190到210以色列是要炸哪裡就炸哪裡要殺誰就殺誰小孩子嬰兒都不放過這就是戰爭已經死了十萬人左右啦那加薩走廊什麼都沒有那每天需要的水
transcript.whisperx[3].start 109.09
transcript.whisperx[3].end 128.064
transcript.whisperx[3].text 每天需要的糧食差不多沒辦法供應30%所以我們的農業台灣的農業重不重要當然重要我去日本我看到日本的米啊它的價格差不多泰國的五倍
transcript.whisperx[4].start 129.431
transcript.whisperx[4].end 149.079
transcript.whisperx[4].text 我去看日本人離開泰國,卡榜裡面都排什麼呢?排米!因為日本的米太貴,又太好吃了所以要拿泰國米來討所以農業一定要保護這一次我們屏東的毛豆,差不多佔了51%差不多一年的6000公噸
transcript.whisperx[5].start 154.541
transcript.whisperx[5].end 160.427
transcript.whisperx[5].text 蘿蔔魚 整套桌子 還有台灣雕我們平常也有一些在那裡妳怎麼會這麼豐富呢一定的妳也幫得上忙你們編了180億 夠嗎
transcript.whisperx[6].start 170.896
transcript.whisperx[6].end 183.164
transcript.whisperx[6].text 謝謝委員支持臺灣農業這是一定要做因為農業真的不是說是吃飽吃好其實是一個糧食安全和國家安全的基礎那當然也是一個文化傳承那181 到底夠不夠我相信這樣說現時我們是先變這件事希望是渡費這個困難
transcript.whisperx[7].start 187.927
transcript.whisperx[7].end 203.157
transcript.whisperx[7].text 都怪這個困難這個是短時間之內那以這個美國現在10%的關稅來看先這樣做長期來看支持農業一直要往前走這絕對不是只有180億現在要做的事情農業部肯定要一直跟我們台灣農業站在一起
transcript.whisperx[8].start 203.937
transcript.whisperx[8].end 217.935
transcript.whisperx[8].text 對啦,所以我們經貿辦這邊談判,我們台灣的農業,剛才很多委員講已經是對美國是入操了嘛,所以我們才有底氣嘛,美國是前九十萬的低價估估,
transcript.whisperx[9].start 221.92
transcript.whisperx[9].end 232.833
transcript.whisperx[9].text 我記得在第八屆立委的時候,我非常欽佩田秋晴委員、陳潔如委員我在當召委,他們堅持就是要零檢出邱部長你也是說要零檢出嘛但是2021年開放,什麼40個PPB、10個PPB
transcript.whisperx[10].start 244.353
transcript.whisperx[10].end 272.777
transcript.whisperx[10].text 現在進來的,剛剛你講的大部分也都是沒有用萊克多巴胺嘛,對不對只有美國進來的有,是這樣酒都要保留在裡面,我只推廣我也贊成我也來Promote只有台灣豬啦我都要保留在裡面,我不會替美國人說話啦我在舊金山Fremont那邊看那個超市我去看他們,真的跑去看他們的超市的豬肉跟牛肉
transcript.whisperx[11].start 273.649
transcript.whisperx[11].end 292.337
transcript.whisperx[11].text 他標示得很清楚,這個有用瘦肉精的,這個沒有瘦肉精的,分開然後你要買,實在是另一回事,你要吃瘦肉精的,吃瘦肉精的這個我跟大家報告,那個有加瘦肉精的,那個價格是比沒有加瘦肉精的還貴一點
transcript.whisperx[12].start 294.81
transcript.whisperx[12].end 308.545
transcript.whisperx[12].text 真的是瘦肉,油花比較少,因為有代謝所以要標示最重要,我們自己的所有商業都要保護你進口的美國豬肉
transcript.whisperx[13].start 315.851
transcript.whisperx[13].end 330.235
transcript.whisperx[13].text 八千多噸嘛,每一年進來,剛才王毅民一直在追,一直在追說都遭遇到,都遭遇到營養午餐啦,遭遇到7-11,燉完啦營養午餐不能用進口,營養午餐臟Q一定是我們台灣國產的,農業副理事也只推廣台灣豬
transcript.whisperx[14].start 340.509
transcript.whisperx[14].end 360.649
transcript.whisperx[14].text 好 希望是這樣啦那我們現在養豬的頭數你說6000多個養豬場屏東都佔了20幾%左右屏東的場數最多最多嘛那我們一直在關心現在我們的豬肉也可以銷日本冷藏的就可以銷日本啦要不然加工的啦不不不 重點是價位
transcript.whisperx[15].start 365.303
transcript.whisperx[15].end 383.094
transcript.whisperx[15].text 這裡一廂,這裡一廂有出去,還有新加坡,去新加坡新加坡跟菲律賓我有去參加,台灣的豬肉本身品質也非常好那外務部的標示跟農委會的標示,欸你標示這是什麼意思啦是農委會比較厲害,還是外務部比較厲害為什麼標示都不一樣
transcript.whisperx[16].start 388.37
transcript.whisperx[16].end 396.374
transcript.whisperx[16].text 這樣就能夠證明是我們台灣豬啊不然那...北省不那麼聰明啦北省就簡單就好 看得到就好大大隻 台灣豬很清楚那我們經貿辦談判一定要捍衛這個我們的糧食一定要保護我剛剛講那個家造走廊那個就是完全沒有生產力
transcript.whisperx[17].start 417.076
transcript.whisperx[17].end 444.649
transcript.whisperx[17].text 它是200多平方公里上面住了200多萬人然後所有的一點一滴都是從外面輸進來你知道一天只有貨櫃車幾千台貨櫃車從西奈半島這邊上去然後以色列要過不過的要進不進的每一個人的飲用水都不到20公升然後他的糧食能夠拿到的人不到30%
transcript.whisperx[18].start 446.547
transcript.whisperx[18].end 472.739
transcript.whisperx[18].text 要就是要讓那些人都死死的讓那些人都遷就讓那些人移民、駐紮走廊、以色列永久佔領是不是這樣 我不知道但是看那個樣子是這樣就硬幹所以 打仗封鎖是非常非常的殘酷我們如果現在都零關稅全部的米 美國的米都一百美國的什麼東西都一百台灣整個農業都崩盤
transcript.whisperx[19].start 474.758
transcript.whisperx[19].end 494.459
transcript.whisperx[19].text 我們真的被封鎖的時候,真的打仗的時候,我們是死的,我們的人口數是袈裟走廊的十二倍,所以這個經貿辦你們要以國家的,日本有些人很硬啊,日本講到農業,他們聽就不要聽啦,他就跟他拚,所以你看你們的立場,這個很重要。
transcript.whisperx[20].start 495.47
transcript.whisperx[20].end 513.616
transcript.whisperx[20].text 跟委員報告我想不論是我們現在跟美國之間是出超關係或入超關係我們一定都是據理理真更何況我們現在農產品對美國來說完全是對他來說是一個順差的這個情況之下所以我覺得這個是第一個我們會跟美國去訴求我們跟他
transcript.whisperx[21].start 514.116
transcript.whisperx[21].end 543.599
transcript.whisperx[21].text 在很多的領域上面都是戰略夥伴的關係所以這是第一個我們一定會努力的去爭取第二個我想對於農產或農業它絕對不是一個單純的市場開放的問題所以我們還會兼顧到產業發展以及您剛才提到的這些糧食安全國人的健康這個絕對會是我們在通盤考量而且特別是我們會跟我們的農業主管機關討論之後才來決定我們的接下來要跟美國去進行談判的策略
transcript.whisperx[22].start 544.963
transcript.whisperx[22].end 557.403
transcript.whisperx[22].text 我們稻米的收購價格是26塊每公斤我們在立法院給他搞到要31塊結果法案通過還沒有實施所以要調2塊錢
transcript.whisperx[23].start 560.15
transcript.whisperx[23].end 587.69
transcript.whisperx[23].text 這是一樣的意思 我們的黃豆我們生產成本一公斤可能要60-70美國的黃豆可能要10公斤大規模的所以如果我們都沒有保護的話我們一定是崩盤好 我再問農業部你的牛肉 台灣的牛肉 自產的
transcript.whisperx[24].start 588.57
transcript.whisperx[24].end 604.694
transcript.whisperx[24].text 差不多幾% 整年多少萬噸我們自己對消費市場佔有率差不多5%到6%牛肉嘛 國產牛肉那這些牛肉都是市的還是外土牛打起來的都有
transcript.whisperx[25].start 605.373
transcript.whisperx[25].end 614.597
transcript.whisperx[25].text 都有啦,我那麼深入的,我幾乎每個禮拜都在跟那些乳牛業者為了那個紐西蘭的FTA簽完,他們的一公升才40塊的成本我們這邊要7、80、80、90,這個市府都趕快叫
transcript.whisperx[26].start 627.023
transcript.whisperx[26].end 640.692
transcript.whisperx[26].text 那我們的牛肉我們自己才供應5、6%所以從國外進口的我們是沒有話講那我們的豬肉我們養了700一年才要產750萬頭豬肉差不多180天就一起那應該是要產到八九百萬頭才對啊怎麼會只有750萬頭
transcript.whisperx[27].start 651.564
transcript.whisperx[27].end 665.992
transcript.whisperx[27].text 沒有啦,一方面就是因為我們的整個飼養環境當然也是有成本的可能,第二就是因為我們現在其實山龍提供我們國內的90%都是我們自己的國產豬肉,國人對那個風味其實也是非常敏感,所以
transcript.whisperx[28].start 667.232
transcript.whisperx[28].end 686.24
transcript.whisperx[28].text 臺灣的豬肉在我們的市場其實選擇性我們的消費者比較喜歡所以臺灣的豬肉是有競爭性國人還是喜歡吃目前看起來是這樣進口的就是11萬噸美國差不多占8%大概一成左右總共一成左右
transcript.whisperx[29].start 687.02
transcript.whisperx[29].end 701.147
transcript.whisperx[29].text 好,我是希望一定要堅持啦,今天排這個題目就是一定要捍衛住,尤其是談判的人齁,這個不要穿著西裝,帽子沒穿出來跟人家談判,談到買回來再扛扛
transcript.whisperx[30].start 704.028
transcript.whisperx[30].end 716.37
transcript.whisperx[30].text 再說下去就難聽了,所以這個我是非常concern這一塊,每天會頂,因為我們家就做實的,我們家就在做虛擬的,我們的錢都在抓虛的,我們有可能說沒資格就用這個,而且是以農立國,農業為本,民意實為天,你這個農業要崩盤,你這個國家就
transcript.whisperx[31].start 730.881
transcript.whisperx[31].end 732.689
transcript.whisperx[31].text 結束謝謝委員支持好謝謝好謝謝蘇清泉委員