iVOD / 168607

Field Value
IVOD_ID 168607
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168607
日期 2026-04-16
會議資料.會議代碼 委員會-11-5-19-9
會議資料.會議代碼:str 第11屆第5會期經濟委員會第9次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 9
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第5會期經濟委員會第9次全體委員會議
影片種類 Clip
開始時間 2026-04-16T10:01:08+08:00
結束時間 2026-04-16T10:08:57+08:00
影片長度 00:07:49
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5c6c6faabdac9c28d394018e116dd89724d82c1ebe87fe24e494fea1324b5f1a0c81ff874c24f3695ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 10:01:08 - 10:08:57
會議時間 2026-04-16T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第9次全體委員會議(事由:邀請經濟部部長率台灣電力股份有限公司董事長、國家發展委員會主任委員及農業部部長就「我國再生能源及電網韌性之發展現況、建置進度、容量目標、推動困境、法規障礙及相關改善對策」進行報告,並備質詢。 【4月15日及4月16日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.54971875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 14.96534375
transcript.pyannote[1].end 15.72471875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 15.89346875
transcript.pyannote[2].end 18.67784375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 25.17471875
transcript.pyannote[3].end 26.62596875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 27.60471875
transcript.pyannote[4].end 29.10659375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 29.34284375
transcript.pyannote[5].end 31.92471875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 33.25784375
transcript.pyannote[6].end 33.96659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 34.15221875
transcript.pyannote[7].end 36.53159375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 37.27409375
transcript.pyannote[8].end 40.27784375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 41.02034375
transcript.pyannote[9].end 42.47159375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 43.06221875
transcript.pyannote[10].end 45.08721875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 45.77909375
transcript.pyannote[11].end 47.43284375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 49.77846875
transcript.pyannote[12].end 50.33534375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 51.68534375
transcript.pyannote[13].end 53.65971875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 54.14909375
transcript.pyannote[14].end 54.43596875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 54.53721875
transcript.pyannote[15].end 55.41471875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 55.49909375
transcript.pyannote[16].end 56.98409375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 57.32159375
transcript.pyannote[17].end 58.85721875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 59.92034375
transcript.pyannote[18].end 60.39284375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 61.21971875
transcript.pyannote[19].end 62.41784375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 62.87346875
transcript.pyannote[20].end 63.91971875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 64.66221875
transcript.pyannote[21].end 64.88159375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 65.32034375
transcript.pyannote[22].end 65.82659375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 66.19784375
transcript.pyannote[23].end 67.02471875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 67.21034375
transcript.pyannote[24].end 69.06659375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 69.40409375
transcript.pyannote[25].end 69.91034375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 73.72409375
transcript.pyannote[26].end 74.41596875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 74.98971875
transcript.pyannote[27].end 75.51284375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 76.10346875
transcript.pyannote[28].end 77.31846875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 77.70659375
transcript.pyannote[29].end 79.10721875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 80.27159375
transcript.pyannote[30].end 83.07284375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 84.01784375
transcript.pyannote[31].end 85.68846875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 86.43096875
transcript.pyannote[32].end 86.80221875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 88.01721875
transcript.pyannote[33].end 96.35346875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 97.01159375
transcript.pyannote[34].end 98.47971875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 99.03659375
transcript.pyannote[35].end 99.66096875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 100.03221875
transcript.pyannote[36].end 101.39909375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 101.85471875
transcript.pyannote[37].end 102.68159375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 103.39034375
transcript.pyannote[38].end 106.52909375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 107.30534375
transcript.pyannote[39].end 108.23346875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 108.90846875
transcript.pyannote[40].end 109.66784375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 110.46096875
transcript.pyannote[41].end 110.73096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 111.25409375
transcript.pyannote[42].end 111.77721875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 112.30034375
transcript.pyannote[43].end 113.04284375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 113.85284375
transcript.pyannote[44].end 115.00034375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 115.21971875
transcript.pyannote[45].end 116.51909375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 117.32909375
transcript.pyannote[46].end 118.20659375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 119.48909375
transcript.pyannote[47].end 120.41721875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 121.09221875
transcript.pyannote[48].end 122.76284375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 123.43784375
transcript.pyannote[49].end 125.17596875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 125.36159375
transcript.pyannote[50].end 126.30659375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 126.59346875
transcript.pyannote[51].end 127.09971875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 127.79159375
transcript.pyannote[52].end 128.33159375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 129.14159375
transcript.pyannote[53].end 130.17096875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 130.69409375
transcript.pyannote[54].end 132.29721875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 132.60096875
transcript.pyannote[55].end 133.44471875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 134.15346875
transcript.pyannote[56].end 134.84534375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 135.72284375
transcript.pyannote[57].end 136.24596875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 136.54971875
transcript.pyannote[58].end 138.65909375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 139.99221875
transcript.pyannote[59].end 141.69659375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 142.13534375
transcript.pyannote[60].end 143.01284375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 145.29096875
transcript.pyannote[61].end 146.35409375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 147.34971875
transcript.pyannote[62].end 148.04159375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 148.69971875
transcript.pyannote[63].end 150.64034375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 151.43346875
transcript.pyannote[64].end 152.17596875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 153.12096875
transcript.pyannote[65].end 154.52159375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 155.26409375
transcript.pyannote[66].end 157.18784375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 157.33971875
transcript.pyannote[67].end 158.25096875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 158.87534375
transcript.pyannote[68].end 159.95534375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 160.90034375
transcript.pyannote[69].end 161.20409375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 162.33471875
transcript.pyannote[70].end 165.27096875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 166.36784375
transcript.pyannote[71].end 167.41409375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 167.75159375
transcript.pyannote[72].end 168.24096875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 168.57846875
transcript.pyannote[73].end 170.11409375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 170.99159375
transcript.pyannote[74].end 172.40909375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 173.18534375
transcript.pyannote[75].end 174.73784375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 175.31159375
transcript.pyannote[76].end 175.63221875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 175.69971875
transcript.pyannote[77].end 176.89784375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 177.48846875
transcript.pyannote[78].end 178.31534375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 178.60221875
transcript.pyannote[79].end 179.73284375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 180.30659375
transcript.pyannote[80].end 180.79596875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 181.36971875
transcript.pyannote[81].end 182.36534375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 183.07409375
transcript.pyannote[82].end 183.91784375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 184.45784375
transcript.pyannote[83].end 185.36909375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 185.95971875
transcript.pyannote[84].end 186.58409375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 187.27596875
transcript.pyannote[85].end 187.76534375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 188.57534375
transcript.pyannote[86].end 190.51596875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 191.22471875
transcript.pyannote[87].end 193.51971875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 194.59971875
transcript.pyannote[88].end 196.62471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 197.23221875
transcript.pyannote[89].end 200.47221875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 200.89409375
transcript.pyannote[90].end 202.17659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 202.63221875
transcript.pyannote[91].end 204.45471875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 204.91034375
transcript.pyannote[92].end 206.85096875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 207.17159375
transcript.pyannote[93].end 207.72846875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 208.31909375
transcript.pyannote[94].end 210.71534375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 211.23846875
transcript.pyannote[95].end 212.06534375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 213.06096875
transcript.pyannote[96].end 213.61784375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 214.36034375
transcript.pyannote[97].end 215.89596875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 216.67221875
transcript.pyannote[98].end 224.45159375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 224.53596875
transcript.pyannote[99].end 224.80596875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 225.49784375
transcript.pyannote[100].end 225.51471875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 225.51471875
transcript.pyannote[101].end 233.00721875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 233.42909375
transcript.pyannote[102].end 236.07846875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 236.71971875
transcript.pyannote[103].end 237.10784375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 237.59721875
transcript.pyannote[104].end 239.95971875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 240.75284375
transcript.pyannote[105].end 242.82846875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 243.60471875
transcript.pyannote[106].end 245.44409375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 246.06846875
transcript.pyannote[107].end 247.53659375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 248.09346875
transcript.pyannote[108].end 248.98784375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 249.44346875
transcript.pyannote[109].end 250.21971875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 249.78096875
transcript.pyannote[110].end 251.06346875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 251.82284375
transcript.pyannote[111].end 252.73409375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 253.25721875
transcript.pyannote[112].end 253.89846875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 253.89846875
transcript.pyannote[113].end 253.91534375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 254.42159375
transcript.pyannote[114].end 261.10409375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 261.72846875
transcript.pyannote[115].end 265.30596875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 265.74471875
transcript.pyannote[116].end 271.51596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 270.50346875
transcript.pyannote[117].end 276.74721875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 277.06784375
transcript.pyannote[118].end 278.14784375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 279.00846875
transcript.pyannote[119].end 280.52721875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 281.60721875
transcript.pyannote[120].end 285.04971875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 285.48846875
transcript.pyannote[121].end 286.28159375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 286.58534375
transcript.pyannote[122].end 288.62721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 288.96471875
transcript.pyannote[123].end 290.88846875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 290.97284375
transcript.pyannote[124].end 292.66034375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 293.06534375
transcript.pyannote[125].end 294.46596875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 295.09034375
transcript.pyannote[126].end 297.26721875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 297.89159375
transcript.pyannote[127].end 302.11034375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 302.93721875
transcript.pyannote[128].end 304.45596875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 307.66221875
transcript.pyannote[129].end 307.99971875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 308.13471875
transcript.pyannote[130].end 309.18096875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 310.31159375
transcript.pyannote[131].end 311.62784375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 312.47159375
transcript.pyannote[132].end 313.33221875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 314.27721875
transcript.pyannote[133].end 317.19659375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 317.71971875
transcript.pyannote[134].end 323.05221875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 323.59221875
transcript.pyannote[135].end 325.33034375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 325.95471875
transcript.pyannote[136].end 330.34221875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 331.03409375
transcript.pyannote[137].end 333.05909375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 333.56534375
transcript.pyannote[138].end 333.83534375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 334.51034375
transcript.pyannote[139].end 337.17659375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 337.53096875
transcript.pyannote[140].end 343.42034375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 344.24721875
transcript.pyannote[141].end 344.98971875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 345.19221875
transcript.pyannote[142].end 345.44534375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 345.91784375
transcript.pyannote[143].end 346.84596875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 347.74034375
transcript.pyannote[144].end 350.05221875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 351.01409375
transcript.pyannote[145].end 352.31346875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 353.37659375
transcript.pyannote[146].end 354.15284375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 354.42284375
transcript.pyannote[147].end 355.51971875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 357.07221875
transcript.pyannote[148].end 360.09284375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 360.56534375
transcript.pyannote[149].end 361.79721875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 362.70846875
transcript.pyannote[150].end 364.98659375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 365.88096875
transcript.pyannote[151].end 368.46284375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 369.13784375
transcript.pyannote[152].end 369.91409375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 370.74096875
transcript.pyannote[153].end 372.36096875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 373.18784375
transcript.pyannote[154].end 374.47034375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 375.28034375
transcript.pyannote[155].end 376.54596875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 376.79909375
transcript.pyannote[156].end 377.64284375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 378.57096875
transcript.pyannote[157].end 381.82784375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 382.40159375
transcript.pyannote[158].end 383.61659375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 383.88659375
transcript.pyannote[159].end 385.62471875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 386.09721875
transcript.pyannote[160].end 390.14721875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 390.19784375
transcript.pyannote[161].end 391.19346875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 391.59846875
transcript.pyannote[162].end 392.50971875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 393.30284375
transcript.pyannote[163].end 394.02846875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 394.51784375
transcript.pyannote[164].end 396.30659375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 396.55971875
transcript.pyannote[165].end 398.36534375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 398.60159375
transcript.pyannote[166].end 399.79971875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 400.37346875
transcript.pyannote[167].end 401.65596875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 403.96784375
transcript.pyannote[168].end 408.38909375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 409.11471875
transcript.pyannote[169].end 414.44721875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 415.02096875
transcript.pyannote[170].end 416.18534375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 416.82659375
transcript.pyannote[171].end 418.91909375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 419.30721875
transcript.pyannote[172].end 420.30284375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 420.58971875
transcript.pyannote[173].end 421.56846875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 422.44596875
transcript.pyannote[174].end 423.57659375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 423.89721875
transcript.pyannote[175].end 425.23034375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 425.63534375
transcript.pyannote[176].end 429.34784375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 429.87096875
transcript.pyannote[177].end 432.35159375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 432.85784375
transcript.pyannote[178].end 434.10659375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 434.83221875
transcript.pyannote[179].end 438.42659375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 438.93284375
transcript.pyannote[180].end 439.99596875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 440.82284375
transcript.pyannote[181].end 443.59034375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 444.26534375
transcript.pyannote[182].end 447.38721875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 447.69096875
transcript.pyannote[183].end 449.58096875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 450.35721875
transcript.pyannote[184].end 455.53784375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 455.90909375
transcript.pyannote[185].end 458.44034375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 458.79471875
transcript.pyannote[186].end 459.58784375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 459.92534375
transcript.pyannote[187].end 462.87846875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 465.59534375
transcript.pyannote[188].end 466.89471875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 467.19846875
transcript.pyannote[189].end 468.37971875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 468.61596875
transcript.pyannote[190].end 469.12221875
transcript.whisperx[0].start 0.089
transcript.whisperx[0].end 15.013
transcript.whisperx[0].text 好,主席,有請經濟部副部長部長好
transcript.whisperx[1].start 27.862
transcript.whisperx[1].end 47.126
transcript.whisperx[1].text 今天談這個再生能源電網論信我們就談這個陸翼的風電陸翼的風電目前都在西部了這個都在西部我是希望繼續在西部那現在目前東部沒有這個
transcript.whisperx[2].start 51.764
transcript.whisperx[2].end 74.908
transcript.whisperx[2].text 有相關的公司也希望在東海岸設置這個陸翼的風力發電如果設成這樣的話整個東海岸台東尤其是台東目前的規劃都在台東東海岸東海岸這個為什麼說美麗的寶島
transcript.whisperx[3].start 80.676
transcript.whisperx[3].end 105.282
transcript.whisperx[3].text 這個美麗的寶島就是因為東海岸過去這個從早期這個歐洲歐美歐洲歐洲來到經過台灣看這個台灣就是從這個太平洋看這個東海岸美麗的寶島是這樣來的所以一直維繫著這樣的一個美麗的寶島如果這樣的這個陸域
transcript.whisperx[4].start 112.347
transcript.whisperx[4].end 134.617
transcript.whisperx[4].text 風電在這裡設如果這些椰子樹都變成風電你想想看這個我們的美麗的寶島就不是稱為美麗的寶島名稱就要改了所以這個部分這個要請經濟部、能源署還有台電不要讓這些業者
transcript.whisperx[5].start 140.029
transcript.whisperx[5].end 164.155
transcript.whisperx[5].text 花了老半天的時間又不能做為什麼不能做呢人民都反對啊不只是原住民反對一般的花東的甚至那個屏東恆春那一帶的海岸也都很漂亮他們也反對這個就是要維持這個美麗的寶島
transcript.whisperx[6].start 166.874
transcript.whisperx[6].end 193.289
transcript.whisperx[6].text 這個這麼漂亮的海岸如果全部都變成這個陸翼風電那真的是會會很慘而且你要把電還要從這個東部運到西部也不划算所以這個部分而且而且要主動跟這個業者他們想要提出的時候要告訴他們
transcript.whisperx[7].start 194.773
transcript.whisperx[7].end 215.658
transcript.whisperx[7].text 還要依原住民族基本法要經過部落諮商同意所以難度更高不要讓他們浪費這些時間跟成本這樣的一個這麼漂亮的一個海岸部長你的意見怎麼樣
transcript.whisperx[8].start 217.001
transcript.whisperx[8].end 239.738
transcript.whisperx[8].text 只要是涉及敏感地區或者是當地的政府或者是居民如果不同意的話我們就不會去支持這個其實一開始不要讓他們我剛剛有講前提不要讓他們浪費時間浪費成本然後還要去那邊結果後來都不行對不對而且從各方面來看先從美麗的寶島來看
transcript.whisperx[9].start 243.889
transcript.whisperx[9].end 251.556
transcript.whisperx[9].text 然後跟部落諮商同意來看都不可行他溝通程序不需要我們同意
transcript.whisperx[10].start 254.788
transcript.whisperx[10].end 280.344
transcript.whisperx[10].text 因為他主動去溝通但是溝通這個程序不需要我們同意我們只是告訴他如果這涉及敏感地區而且當地政府或者是民眾沒有支持的話我們是不會同意的我們會跟他說明白當然我只是提醒說這個前置作業讓他知道免得這個他要辦很多的
transcript.whisperx[11].start 282.576
transcript.whisperx[11].end 301.142
transcript.whisperx[11].text 這個有辦但是辦了一場就沒了就沒辦法大家都反對但是他們還想繼續像屏東也有這樣的一個狀況譬如說屏東這個恆春那一帶這個非常漂亮的一個地方好這個請經濟部的回奏請農業部農業部陳部長部長喂好部長好
transcript.whisperx[12].start 311.177
transcript.whisperx[12].end 332.93
transcript.whisperx[12].text 這個談一個老案子在111年9月18號這個所謂的0918大地震造成義理鎮地區的重大的災情除了自來水各方面然後水這個農業部的部分這個大部分你們做了
transcript.whisperx[13].start 334.831
transcript.whisperx[13].end 355.079
transcript.whisperx[13].text 這個都已經復建的狀況大部分都做了水土保持這個部分一些些農業部跟水土保持署大部分都做了就是還有一小部分還有一小部分還沒有當初認為因為認為是應該應該沒有什麼問題但是民眾
transcript.whisperx[14].start 362.725
transcript.whisperx[14].end 376.374
transcript.whisperx[14].text 民眾的有幾戶人家就是在邊坡裡面旁邊旁邊的他們就住住得非常不安心我曾經在去年的7月22號
transcript.whisperx[15].start 378.915
transcript.whisperx[15].end 399.25
transcript.whisperx[15].text 好幾個議題,其中一個議題就是去會刊這個易理政、松普理、二十二零、鞭波、滑落改善就第三個這個第三個議題我曾經去會刊這個我們也曾經這個我辦公室也曾經今年1月14號發文
transcript.whisperx[16].start 403.988
transcript.whisperx[16].end 420.875
transcript.whisperx[16].text 那水保署花蓮分署在1月20號今年1月20號答覆說這個相關的土地統一書那現在花蓮土地統一書也都送去了所以這個部分這個我的了解是這樣那個分署長署長署長
transcript.whisperx[17].start 422.509
transcript.whisperx[17].end 439.724
transcript.whisperx[17].text 署長,你們再跟同仁講一下,我現在轉述,你們的同仁是說他們後來請記事去看,認為沒什麼問題但是去看,到底看的對不對,是不是那個位置,他們自己去看
transcript.whisperx[18].start 441.345
transcript.whisperx[18].end 466.45
transcript.whisperx[18].text 也沒有跟我們的住戶聯絡也沒有跟地方我的助理他們也沒有聯絡就認為認為是安全無疑有很大的落差所以請這個署長再跟花蓮分署那邊再再去跟我們的鄉親去實際了解好不好好好謝謝謝謝政經事務委員部長