iVOD / 161543

Field Value
IVOD_ID 161543
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161543
日期 2025-05-19
會議資料.會議代碼 委員會-11-3-19-13
會議資料.會議代碼:str 第11屆第3會期經濟委員會第13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 13
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第3會期經濟委員會第13次全體委員會議
影片種類 Clip
開始時間 2025-05-19T10:38:28+08:00
結束時間 2025-05-19T10:45:29+08:00
影片長度 00:07:01
支援功能[0] ai-transcript
支援功能[1] gazette
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ecb6f54fb5d604f0b2d8763c27bd0c2728de2cce2b28366acb2fe453f4508dd430a324e446e41dda5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 10:38:28 - 10:45:29
會議時間 2025-05-19T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第13次全體委員會議(事由:一、處理或審查114年度中央政府總預算有關農業部及所屬主管預算凍結案等30案。 二、處理或審查114年度中央政府總預算有關公平交易委員會主管預算凍結案等8案。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 10.18971875
transcript.pyannote[0].end 12.67034375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 13.22721875
transcript.pyannote[1].end 14.30721875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 21.05721875
transcript.pyannote[2].end 22.60971875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 23.40284375
transcript.pyannote[3].end 23.97659375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 24.04409375
transcript.pyannote[4].end 24.87096875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 25.41096875
transcript.pyannote[5].end 26.42346875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 27.13221875
transcript.pyannote[6].end 28.81971875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 29.34284375
transcript.pyannote[7].end 31.30034375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 31.30034375
transcript.pyannote[8].end 31.73909375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 31.73909375
transcript.pyannote[9].end 32.02596875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 32.02596875
transcript.pyannote[10].end 40.96971875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 40.96971875
transcript.pyannote[11].end 41.03721875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 41.03721875
transcript.pyannote[12].end 41.05409375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 41.50971875
transcript.pyannote[13].end 41.52659375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 41.52659375
transcript.pyannote[14].end 44.47971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 44.91846875
transcript.pyannote[15].end 47.31471875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 47.60159375
transcript.pyannote[16].end 50.67284375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 51.17909375
transcript.pyannote[17].end 52.19159375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 52.88346875
transcript.pyannote[18].end 54.08159375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 55.19534375
transcript.pyannote[19].end 61.03409375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 61.16909375
transcript.pyannote[20].end 62.45159375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 62.95784375
transcript.pyannote[21].end 69.70784375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 70.01159375
transcript.pyannote[22].end 71.04096875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 71.14221875
transcript.pyannote[23].end 72.81284375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 72.82971875
transcript.pyannote[24].end 74.88846875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 75.41159375
transcript.pyannote[25].end 79.07346875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 79.54596875
transcript.pyannote[26].end 82.71846875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 83.17409375
transcript.pyannote[27].end 84.06846875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 84.84471875
transcript.pyannote[28].end 95.45909375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 95.77971875
transcript.pyannote[29].end 97.39971875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 97.82159375
transcript.pyannote[30].end 98.76659375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 99.81284375
transcript.pyannote[31].end 105.38159375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 105.71909375
transcript.pyannote[32].end 107.25471875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 108.04784375
transcript.pyannote[33].end 108.41909375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 108.89159375
transcript.pyannote[34].end 110.74784375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 111.13596875
transcript.pyannote[35].end 112.73909375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 113.00909375
transcript.pyannote[36].end 116.51909375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 116.78909375
transcript.pyannote[37].end 117.93659375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 116.94096875
transcript.pyannote[38].end 124.04534375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 124.41659375
transcript.pyannote[39].end 136.61721875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 136.97159375
transcript.pyannote[40].end 151.06221875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 151.14659375
transcript.pyannote[41].end 152.69909375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 152.95221875
transcript.pyannote[42].end 156.96846875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 156.96846875
transcript.pyannote[43].end 157.05284375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 157.45784375
transcript.pyannote[44].end 161.10284375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 161.54159375
transcript.pyannote[45].end 162.87471875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 163.31346875
transcript.pyannote[46].end 164.27534375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 164.79846875
transcript.pyannote[47].end 165.13596875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 166.35096875
transcript.pyannote[48].end 167.05971875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 167.51534375
transcript.pyannote[49].end 168.37596875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 169.13534375
transcript.pyannote[50].end 173.97846875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 174.73784375
transcript.pyannote[51].end 177.50534375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 178.31534375
transcript.pyannote[52].end 179.81721875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 180.50909375
transcript.pyannote[53].end 185.25096875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 185.38596875
transcript.pyannote[54].end 186.75284375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 187.10721875
transcript.pyannote[55].end 193.92471875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 194.46471875
transcript.pyannote[56].end 195.91596875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 196.40534375
transcript.pyannote[57].end 198.04221875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 198.22784375
transcript.pyannote[58].end 201.11346875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 201.46784375
transcript.pyannote[59].end 202.95284375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 203.18909375
transcript.pyannote[60].end 205.87221875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 206.39534375
transcript.pyannote[61].end 209.34846875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 209.97284375
transcript.pyannote[62].end 212.31846875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 212.97659375
transcript.pyannote[63].end 213.26346875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 213.53346875
transcript.pyannote[64].end 216.35159375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 216.45284375
transcript.pyannote[65].end 217.46534375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 217.98846875
transcript.pyannote[66].end 219.13596875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 220.33409375
transcript.pyannote[67].end 221.59971875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 222.22409375
transcript.pyannote[68].end 224.95784375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 226.13909375
transcript.pyannote[69].end 228.75471875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 229.22721875
transcript.pyannote[70].end 231.82596875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 232.48409375
transcript.pyannote[71].end 233.09159375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 233.41221875
transcript.pyannote[72].end 236.65221875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 237.05721875
transcript.pyannote[73].end 237.74909375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 238.28909375
transcript.pyannote[74].end 238.91346875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 239.58846875
transcript.pyannote[75].end 240.63471875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 241.17471875
transcript.pyannote[76].end 242.79471875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 243.84096875
transcript.pyannote[77].end 246.08534375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 247.63784375
transcript.pyannote[78].end 248.05971875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 248.29596875
transcript.pyannote[79].end 249.12284375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 249.54471875
transcript.pyannote[80].end 250.54034375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 251.56971875
transcript.pyannote[81].end 251.83971875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 252.17721875
transcript.pyannote[82].end 253.07159375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 253.39221875
transcript.pyannote[83].end 255.28221875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 256.41284375
transcript.pyannote[84].end 257.23971875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 258.65721875
transcript.pyannote[85].end 259.77096875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 259.99034375
transcript.pyannote[86].end 261.12096875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 261.86346875
transcript.pyannote[87].end 263.87159375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 264.81659375
transcript.pyannote[88].end 267.07784375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 267.85409375
transcript.pyannote[89].end 268.96784375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 269.54159375
transcript.pyannote[90].end 271.38096875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 272.24159375
transcript.pyannote[91].end 272.79846875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 273.06846875
transcript.pyannote[92].end 275.19471875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 275.92034375
transcript.pyannote[93].end 279.83534375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 280.56096875
transcript.pyannote[94].end 282.28221875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 283.12596875
transcript.pyannote[95].end 284.81346875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 285.06659375
transcript.pyannote[96].end 285.43784375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 285.70784375
transcript.pyannote[97].end 287.39534375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 288.32346875
transcript.pyannote[98].end 288.59346875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 289.11659375
transcript.pyannote[99].end 290.01096875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 290.87159375
transcript.pyannote[100].end 298.16159375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 298.88721875
transcript.pyannote[101].end 300.57471875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 300.64221875
transcript.pyannote[102].end 302.88659375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 303.39284375
transcript.pyannote[103].end 306.51471875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 306.95346875
transcript.pyannote[104].end 307.49346875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 308.40471875
transcript.pyannote[105].end 311.67846875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 311.86409375
transcript.pyannote[106].end 312.84284375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 313.43346875
transcript.pyannote[107].end 317.06159375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 317.58471875
transcript.pyannote[108].end 322.56284375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 322.56284375
transcript.pyannote[109].end 322.57971875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 323.77784375
transcript.pyannote[110].end 323.79471875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 323.79471875
transcript.pyannote[111].end 323.81159375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 323.81159375
transcript.pyannote[112].end 333.97034375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 330.25784375
transcript.pyannote[113].end 333.31221875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 333.97034375
transcript.pyannote[114].end 333.98721875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 333.98721875
transcript.pyannote[115].end 334.54409375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 334.03784375
transcript.pyannote[116].end 335.08409375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 335.80971875
transcript.pyannote[117].end 336.24846875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 336.50159375
transcript.pyannote[118].end 337.36221875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 338.18909375
transcript.pyannote[119].end 341.64846875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 342.10409375
transcript.pyannote[120].end 343.92659375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 344.50034375
transcript.pyannote[121].end 346.84596875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 347.47034375
transcript.pyannote[122].end 348.92159375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 349.61346875
transcript.pyannote[123].end 351.03096875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 351.41909375
transcript.pyannote[124].end 353.84909375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 354.45659375
transcript.pyannote[125].end 355.26659375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 355.73909375
transcript.pyannote[126].end 359.51909375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 360.29534375
transcript.pyannote[127].end 360.73409375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 361.30784375
transcript.pyannote[128].end 363.04596875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 363.34971875
transcript.pyannote[129].end 363.65346875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 364.24409375
transcript.pyannote[130].end 365.17221875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 365.49284375
transcript.pyannote[131].end 367.50096875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 368.10846875
transcript.pyannote[132].end 369.12096875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 369.39096875
transcript.pyannote[133].end 373.30596875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 373.79534375
transcript.pyannote[134].end 375.88784375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 376.37721875
transcript.pyannote[135].end 376.66409375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 376.88346875
transcript.pyannote[136].end 379.29659375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 379.76909375
transcript.pyannote[137].end 380.22471875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 380.78159375
transcript.pyannote[138].end 382.16534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 382.89096875
transcript.pyannote[139].end 384.62909375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 385.08471875
transcript.pyannote[140].end 387.37971875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 387.81846875
transcript.pyannote[141].end 388.22346875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 388.74659375
transcript.pyannote[142].end 390.82221875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 390.94034375
transcript.pyannote[143].end 392.37471875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 392.71221875
transcript.pyannote[144].end 393.26909375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 395.00721875
transcript.pyannote[145].end 395.36159375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 395.56409375
transcript.pyannote[146].end 400.89659375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 401.06534375
transcript.pyannote[147].end 407.93346875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 404.67659375
transcript.pyannote[148].end 407.30909375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 407.35971875
transcript.pyannote[149].end 407.68034375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 407.93346875
transcript.pyannote[150].end 411.39284375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 410.26221875
transcript.pyannote[151].end 415.54409375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 413.90721875
transcript.pyannote[152].end 415.12221875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 415.71284375
transcript.pyannote[153].end 417.23159375
transcript.whisperx[0].start 10.425
transcript.whisperx[0].end 25.858
transcript.whisperx[0].text 主席 各位委員 有請部長來 請陳部長部長好 委員好最近花蓮台東
transcript.whisperx[1].start 27.185
transcript.whisperx[1].end 53.685
transcript.whisperx[1].text 因為氣候異常很多的農作物受到這個今年很多地分包括花東地區包括從台東以南其實都有陸陸續續有些災情對對也謝謝農業部農糧署相關的單位也去特別做天然災害的這個部分的一個補助那我看
transcript.whisperx[2].start 55.256
transcript.whisperx[2].end 78.93
transcript.whisperx[2].text 也特別提到這個還沒有進行的也請這個農業部農糧署那個來協助花蓮西瓜這個也是一樣受到氣候變遷的影響這個相關的西瓜這個摘損很慘重這個本席也特別新聞給農業部針對這個西瓜因為氣候異常這個
transcript.whisperx[3].start 84.895
transcript.whisperx[3].end 106.734
transcript.whisperx[3].text 它的瓜藤提早壞死,然後相關的劣果也都產生,所以這個部分也能夠實際的去調查、去了解當然包括這個文旦也是一樣文旦也因為有這樣的相關的這些氣候異常,也有這樣的一個
transcript.whisperx[4].start 108.927
transcript.whisperx[4].end 136.247
transcript.whisperx[4].text 他的那個花還在開花期間就提早掉落這樣的問題是不是可以請我跟委員報告包括西瓜包括你剛才說的那個柚子文旦的部分其實我們東部的那個農糧署東部東區的分署還有我們的花蓮改良廠其實都持續的在觀察重要的品項那以西瓜來講如果說其實它是一個病害
transcript.whisperx[5].start 137.528
transcript.whisperx[5].end 162.188
transcript.whisperx[5].text 應該是病害的話我們就希望說他能夠做早期的這些噴藥的管理那如果是真的天然災害所影響的話我想我們會根據相關的程序來公告不過現在還在判斷看起來是應該是因為不同的區位所以我們會比較普遍的去觀察好就麻煩這個農業部還有農糧署好另外一個議題跟這個
transcript.whisperx[6].start 166.414
transcript.whisperx[6].end 179.605
transcript.whisperx[6].text 防疫署有關係這個度物傳染病防治條例第34條規定因施檢疫物之輸入人或其代理人
transcript.whisperx[7].start 180.543
transcript.whisperx[7].end 208.965
transcript.whisperx[7].text 因施檢疫務到達這個相關公告的這些港站子就是海關嘛就是說這個通常都是機場比較多因向這個輸入因向輸出入動物檢疫機關申請檢疫要申請檢疫這事過去人工的時候都比較沒有問題現在AI電子化的時代
transcript.whisperx[8].start 210.897
transcript.whisperx[8].end 231.148
transcript.whisperx[8].text 這個財政部的公務署這個都會是用這個電子系統電子系統現在很重要的這個第一計劃因私檢疫物資輸入人或其代理人這個其就是輸入人的代理人
transcript.whisperx[9].start 232.54
transcript.whisperx[9].end 256.637
transcript.whisperx[9].text 沒有錯吧其代理人就是輸入人的代理人嘛沒有錯那因為電子化時代就會常常會有這個冒名頂替的這種狀況這個輸入人是被冒名的經過這個關屋署去查其實這個我們農業部的相關單位
transcript.whisperx[10].start 261.872
transcript.whisperx[10].end 287.199
transcript.whisperx[10].text 防疫署也去查也確實被報輸入人被冒名頂替所以相關的這些然後你們就去罰這個代理人輸入人既然是被冒名頂替就沒有所謂的代理人就會產生這個聯動的話所以最新的判決台北高等行政法院在今年的4月11號的一個判決
transcript.whisperx[11].start 291.042
transcript.whisperx[11].end 316.869
transcript.whisperx[11].text 此為實名認證系統未能防止冒用他人名義註冊之弱動所致啊這個很明確了啊關務署的這個系統確實被有這樣的一個下機檢討的地方所以啊這個農業部在處理這樣的案子的時候也必須考量到既然沒有輸入人當然沒有什麼代理人的
transcript.whisperx[12].start 317.862
transcript.whisperx[12].end 346.012
transcript.whisperx[12].text 所以這個部分是一個通案的去檢討這個部分好不好謝謝委員的提醒那雖然說公務組這樣的一個有一個案例在那邊那農業部的部分我想我們會來更積極的對謝謝委員的提醒好不好好這個上次有跟部長還有那個林業署也提到現在這個台灣黑熊棲息範圍
transcript.whisperx[13].start 348.467
transcript.whisperx[13].end 359.093
transcript.whisperx[13].text 這個已經跟人類的活動奇異的重疊非常的嚴重這個是一方面就動物來講是好現象但是怎麼樣
transcript.whisperx[14].start 361.342
transcript.whisperx[14].end 381.887
transcript.whisperx[14].text 這個我們的部落我們的人我們的鄉親怎麼樣也能夠獲得保護這個是林業署農業部的新的課題啦新的課題這個上次我也提到這個濁西鄉這個中正部落你看這已經跑到海拔
transcript.whisperx[15].start 384.268
transcript.whisperx[15].end 392.773
transcript.whisperx[15].text 170-200公尺之內的這樣的一個地點這是一個非常非常需要新的課題好不好
transcript.whisperx[16].start 395.827
transcript.whisperx[16].end 414.143
transcript.whisperx[16].text 黑熊的保育其實我們現在正在啟動更詳細的族群的調查那相關的牠的棲息地牠的海拔高度那個都沒有問題啦現在是人怎麼保護啦是我們的部落我們的人怎麼保護對好不好那這個要怎麼樣的一個方式大家共存啦方式來處理好 謝謝
gazette.lineno 476
gazette.blocks[0][0] 鄭天財Sra Kacaw委員:(10時38分)主席、各位委員,有請部長。
gazette.blocks[1][0] 主席:來,請陳部長。
gazette.blocks[2][0] 鄭天財Sra Kacaw委員:部長好。
gazette.blocks[3][0] 陳部長駿季:委員好。
gazette.blocks[4][0] 鄭天財Sra Kacaw委員:最近花蓮、臺東因為氣候異常,很多農作物受到……
gazette.blocks[5][0] 陳部長駿季:今年很多低溫,包括花東地區及從臺中以南,其實陸陸續續都有一些災情。
gazette.blocks[6][0] 鄭天財Sra Kacaw委員:對、對,謝謝農業部農糧署相關的單位,特別去做天然災害的補助,還沒有進行的也請農業部農糧署來協助,花蓮西瓜也一樣受到氣候變遷的影響,西瓜的災損很慘重,本席也特別行文給農業部,針對西瓜因為氣候異常,瓜藤產生裂果,也提早壞死,這個部分請實際的去調查、去了解,當然包括文旦也是一樣,文旦也因為氣候異常,它在開花期間就提早掉落,這樣的問題是不是可以請農糧署?
gazette.blocks[7][0] 陳部長駿季:我跟委員報告,包括您剛才說西瓜、柚子、文旦的部分,農糧署東區分署,還有我們的花蓮改良場,其實都持續在觀察重要的品項。以西瓜來講,如果是病害的話,我們希望它能夠做早期的噴藥管理;如果真的是天然災害所影響,我想我們會根據相關的程序公告,不過現在還在判斷,因為跨不同的區位,我們會比較普遍性地去觀察。
gazette.blocks[8][0] 鄭天財Sra Kacaw委員:好,就麻煩農業部,還有農糧署。
gazette.blocks[8][1] 另外一個議題,跟防疫署有關係。動物傳染病防治條例第三十四條規定,應施檢疫物資輸入人或其代理人,應於應施檢疫物到達相關公告的港、站,就是海關,通常都是機場比較多,應向輸出入動物檢疫機關申請檢疫。過去人工的時候都比較沒有問題,現在AI電子化的時代,財政部的關務署都是用電子系統,現在很重要的第一計畫,應施檢疫物資輸入人或其代理人,這個「其」就是輸入人的代理人,沒有錯吧?其代理人就是輸入人的代理人,沒有錯。因為電子化時代,就常常會有冒名頂替的狀況,輸入人是被冒名的,經過關務署去查,農業部的相關單位防疫署也去查,確實輸入人被冒名頂替,然後你們去罰代理人,輸入人既然是被冒名頂替,就沒有所謂的代理人,就會產生這個連動,所以最新的判決,臺北高等行政法院在今年4月11號的判決,此為實名認證系統未能防止冒用他人名義註冊之漏洞所致。這個很明確,關務署的系統確實有需要檢討的地方,農業部在處理這樣的案子也必須考量到,既然沒有輸入人當然沒有什麼代理人,所以通案的去檢討這個部分好不好?
gazette.blocks[9][0] 陳部長駿季:謝謝委員的提醒,雖然關務署有這樣的案例存在,農業部的部分,我們會更積極的……
gazette.blocks[10][0] 鄭天財Sra Kacaw委員:我是希望通案去處理,好不好?
gazette.blocks[11][0] 陳部長駿季:謝謝委員的提醒。
gazette.blocks[12][0] 鄭天財Sra Kacaw委員:另外,上次我有跟部長和林業署提到,現在臺灣黑熊的棲息範圍已經跟人類的活動區域重疊非常嚴重,一方面就動物來講,這是好現象,但我們部落的人、鄉親,也希望能夠獲得保護,這是農業部林業署一個新的課題。這個上次我就有提到,你看卓溪鄉中正部落,黑熊都已經跑到海拔170、200公尺內的地點,真的是一個新的課題,好不好?
gazette.blocks[13][0] 陳部長駿季:有關黑熊的保育,其實我們正在啟動更詳細的族群調查,有關牠的相關棲息地、海拔高度等,我們都會來處理。
gazette.blocks[14][0] 鄭天財Sra Kacaw委員:那個都沒有問題,現在是人要怎麼保護啦!
gazette.blocks[15][0] 陳部長駿季:是。
gazette.blocks[16][0] 鄭天財Sra Kacaw委員:我們的部落、我們的人要怎麼保護,好不好?
gazette.blocks[17][0] 陳部長駿季:對,這個要尋求如何以大家共存的方式來處理。
gazette.blocks[18][0] 鄭天財Sra Kacaw委員:對,好,謝謝。
gazette.blocks[19][0] 陳部長駿季:謝謝。
gazette.blocks[20][0] 主席:謝謝鄭委員。
gazette.blocks[20][1] 下一位請張嘉郡委員質詢。
gazette.agenda.page_end 130
gazette.agenda.meet_id 委員會-11-3-19-13
gazette.agenda.speakers[0] 蔡易餘
gazette.agenda.speakers[1] 邱議瑩
gazette.agenda.speakers[2] 林岱樺
gazette.agenda.speakers[3] 張啓楷
gazette.agenda.speakers[4] 鄭正鈐
gazette.agenda.speakers[5] 陳亭妃
gazette.agenda.speakers[6] 楊瓊瓔
gazette.agenda.speakers[7] 鄭天財Sra Kacaw
gazette.agenda.speakers[8] 張嘉郡
gazette.agenda.speakers[9] 謝衣鳯
gazette.agenda.speakers[10] 陳超明
gazette.agenda.speakers[11] 賴瑞隆
gazette.agenda.speakers[12] 邱志偉
gazette.agenda.speakers[13] 郭昱晴
gazette.agenda.speakers[14] 陳冠廷
gazette.agenda.speakers[15] 張雅琳
gazette.agenda.speakers[16] 呂玉玲
gazette.agenda.page_start 67
gazette.agenda.meetingDate[0] 2025-05-19
gazette.agenda.gazette_id 1145101
gazette.agenda.agenda_lcidc_ids[0] 1145101_00005
gazette.agenda.meet_name 立法院第11屆第3會期經濟委員會第13次全體委員會議紀錄
gazette.agenda.content 一、處理或審查114年度中央政府總預算有關農業部及所屬主管預算凍結案等 30案;二、處理或 審查114年度中央政府總預算有關公平交易委員會主管預算凍結案等8案
gazette.agenda.agenda_id 1145101_00004