iVOD / 159660

Field Value
IVOD_ID 159660
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159660
日期 2025-03-27
會議資料.會議代碼 委員會-11-3-19-5
會議資料.會議代碼:str 第11屆第3會期經濟委員會第5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 5
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5次全體委員會議
影片種類 Clip
開始時間 2025-03-27T09:41:21+08:00
結束時間 2025-03-27T09:51:17+08:00
影片長度 00:09:56
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ae27c1b40c0db900ec8262bddcabb66a1e62e9fce1db2a03ab2aca70ba98bac02100f0c7800c801b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張啓楷
委員發言時間 09:41:21 - 09:51:17
會議時間 2025-03-27T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第5次全體委員會議(事由:邀請國家發展委員會主任委員、農業部部長、內政部首長、財政部首長、行政院主計總處首長就「鄉村發展總體檢討及如何提升城鄉發展韌性之規劃方向」進行報告,並備質詢。【3月26日及27日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 15.11721875
transcript.pyannote[0].end 18.30659375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 19.55534375
transcript.pyannote[1].end 24.07784375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 28.19534375
transcript.pyannote[2].end 31.30034375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 31.82346875
transcript.pyannote[3].end 38.75909375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 38.89409375
transcript.pyannote[4].end 43.33221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 43.61909375
transcript.pyannote[5].end 84.35534375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 61.67534375
transcript.pyannote[6].end 61.96221875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 70.21409375
transcript.pyannote[7].end 70.26471875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 70.41659375
transcript.pyannote[8].end 70.51784375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 77.40284375
transcript.pyannote[9].end 77.70659375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 84.99659375
transcript.pyannote[10].end 91.93221875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 91.96596875
transcript.pyannote[11].end 104.75721875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 101.68596875
transcript.pyannote[12].end 102.14159375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 103.06971875
transcript.pyannote[13].end 104.63909375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 104.82471875
transcript.pyannote[14].end 121.44659375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 104.95971875
transcript.pyannote[15].end 106.52909375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 106.64721875
transcript.pyannote[16].end 107.67659375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 108.84096875
transcript.pyannote[17].end 109.12784375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 112.13159375
transcript.pyannote[18].end 112.53659375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 113.48159375
transcript.pyannote[19].end 114.24096875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 115.64159375
transcript.pyannote[20].end 116.51909375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 117.14346875
transcript.pyannote[21].end 117.63284375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 118.15596875
transcript.pyannote[22].end 121.19346875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 122.32409375
transcript.pyannote[23].end 123.30284375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 123.67409375
transcript.pyannote[24].end 123.80909375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 124.45034375
transcript.pyannote[25].end 124.93971875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 124.93971875
transcript.pyannote[26].end 126.74534375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 124.99034375
transcript.pyannote[27].end 125.51346875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 127.15034375
transcript.pyannote[28].end 128.80409375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 129.49596875
transcript.pyannote[29].end 133.22534375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 133.74846875
transcript.pyannote[30].end 135.50346875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 135.84096875
transcript.pyannote[31].end 138.84471875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 139.78971875
transcript.pyannote[32].end 141.78096875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 142.75971875
transcript.pyannote[33].end 144.68346875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 144.88596875
transcript.pyannote[34].end 146.43846875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 146.84346875
transcript.pyannote[35].end 149.13846875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 149.83034375
transcript.pyannote[36].end 151.77096875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 152.07471875
transcript.pyannote[37].end 154.15034375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 154.77471875
transcript.pyannote[38].end 155.98971875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 156.88409375
transcript.pyannote[39].end 159.49971875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 159.97221875
transcript.pyannote[40].end 161.54159375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 162.28409375
transcript.pyannote[41].end 163.48221875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 164.39346875
transcript.pyannote[42].end 168.62909375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 169.59096875
transcript.pyannote[43].end 170.99159375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 172.17284375
transcript.pyannote[44].end 173.97846875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 174.41721875
transcript.pyannote[45].end 175.69971875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 176.23971875
transcript.pyannote[46].end 176.57721875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 177.18471875
transcript.pyannote[47].end 179.34471875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 179.64846875
transcript.pyannote[48].end 184.05284375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 184.45784375
transcript.pyannote[49].end 184.98096875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 185.60534375
transcript.pyannote[50].end 186.71909375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 187.02284375
transcript.pyannote[51].end 187.71471875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 187.98471875
transcript.pyannote[52].end 189.90846875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 190.17846875
transcript.pyannote[53].end 192.38909375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 192.87846875
transcript.pyannote[54].end 195.30846875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 195.59534375
transcript.pyannote[55].end 197.40096875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 197.73846875
transcript.pyannote[56].end 198.95346875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 200.57346875
transcript.pyannote[57].end 200.59034375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 200.59034375
transcript.pyannote[58].end 201.31596875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 201.58596875
transcript.pyannote[59].end 202.39596875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 204.10034375
transcript.pyannote[60].end 211.79534375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 210.83346875
transcript.pyannote[61].end 212.97659375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 213.48284375
transcript.pyannote[62].end 215.65971875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 215.91284375
transcript.pyannote[63].end 216.53721875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 216.53721875
transcript.pyannote[64].end 218.35971875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 218.56221875
transcript.pyannote[65].end 220.21596875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 220.63784375
transcript.pyannote[66].end 228.65346875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 230.30721875
transcript.pyannote[67].end 231.10034375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 232.21409375
transcript.pyannote[68].end 235.82534375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 236.01096875
transcript.pyannote[69].end 237.61409375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 238.01909375
transcript.pyannote[70].end 242.38971875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 242.81159375
transcript.pyannote[71].end 242.82846875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 242.82846875
transcript.pyannote[72].end 244.88721875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 242.87909375
transcript.pyannote[73].end 245.39346875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 245.46096875
transcript.pyannote[74].end 246.38909375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 246.96284375
transcript.pyannote[75].end 247.58721875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 248.58284375
transcript.pyannote[76].end 250.05096875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 250.57409375
transcript.pyannote[77].end 255.51846875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 256.04159375
transcript.pyannote[78].end 257.84721875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 258.53909375
transcript.pyannote[79].end 261.28971875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 261.66096875
transcript.pyannote[80].end 263.87159375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 264.25971875
transcript.pyannote[81].end 264.96846875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 265.35659375
transcript.pyannote[82].end 268.52909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 268.90034375
transcript.pyannote[83].end 269.74409375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 270.33471875
transcript.pyannote[84].end 273.84471875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 274.08096875
transcript.pyannote[85].end 275.05971875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 275.41409375
transcript.pyannote[86].end 281.23596875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 281.65784375
transcript.pyannote[87].end 285.23534375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 285.84284375
transcript.pyannote[88].end 286.73721875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 287.56409375
transcript.pyannote[89].end 288.96471875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 290.28096875
transcript.pyannote[90].end 292.22159375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 292.57596875
transcript.pyannote[91].end 293.75721875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 293.84159375
transcript.pyannote[92].end 295.44471875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 296.20409375
transcript.pyannote[93].end 299.46096875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 300.72659375
transcript.pyannote[94].end 301.48596875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 302.48159375
transcript.pyannote[95].end 304.62471875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 305.14784375
transcript.pyannote[96].end 306.00846875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 306.32909375
transcript.pyannote[97].end 311.07096875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 311.54346875
transcript.pyannote[98].end 316.16721875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 312.77534375
transcript.pyannote[99].end 314.37846875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 316.36971875
transcript.pyannote[100].end 316.67346875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 317.48346875
transcript.pyannote[101].end 318.29346875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 318.85034375
transcript.pyannote[102].end 319.82909375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 320.31846875
transcript.pyannote[103].end 321.33096875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 322.30971875
transcript.pyannote[104].end 324.77346875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 324.80721875
transcript.pyannote[105].end 325.90409375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 326.19096875
transcript.pyannote[106].end 327.64221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 328.03034375
transcript.pyannote[107].end 329.63346875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 330.00471875
transcript.pyannote[108].end 333.66659375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 334.20659375
transcript.pyannote[109].end 334.86471875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 336.33284375
transcript.pyannote[110].end 337.14284375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 337.34534375
transcript.pyannote[111].end 338.05409375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 338.18909375
transcript.pyannote[112].end 340.19721875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 342.05346875
transcript.pyannote[113].end 342.89721875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 343.72409375
transcript.pyannote[114].end 346.96409375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 347.72346875
transcript.pyannote[115].end 348.44909375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 349.00596875
transcript.pyannote[116].end 354.20346875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 354.89534375
transcript.pyannote[117].end 358.03409375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 358.30409375
transcript.pyannote[118].end 359.40096875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 359.77221875
transcript.pyannote[119].end 367.01159375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 367.46721875
transcript.pyannote[120].end 367.99034375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 368.91846875
transcript.pyannote[121].end 369.89721875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 370.96034375
transcript.pyannote[122].end 372.83346875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 373.20471875
transcript.pyannote[123].end 373.79534375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 374.30159375
transcript.pyannote[124].end 376.27596875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 376.59659375
transcript.pyannote[125].end 377.44034375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 377.74409375
transcript.pyannote[126].end 379.04346875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 379.51596875
transcript.pyannote[127].end 381.11909375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 381.69284375
transcript.pyannote[128].end 382.48596875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 383.26221875
transcript.pyannote[129].end 385.96221875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 386.55284375
transcript.pyannote[130].end 388.35846875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 389.21909375
transcript.pyannote[131].end 390.46784375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 391.37909375
transcript.pyannote[132].end 393.04971875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 393.65721875
transcript.pyannote[133].end 397.60596875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 397.94346875
transcript.pyannote[134].end 400.87971875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 401.52096875
transcript.pyannote[135].end 402.36471875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 403.59659375
transcript.pyannote[136].end 404.44034375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 405.85784375
transcript.pyannote[137].end 407.14034375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 408.15284375
transcript.pyannote[138].end 408.77721875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 409.03034375
transcript.pyannote[139].end 412.38846875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 413.35034375
transcript.pyannote[140].end 414.12659375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 414.63284375
transcript.pyannote[141].end 416.99534375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 417.67034375
transcript.pyannote[142].end 419.47596875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 419.98221875
transcript.pyannote[143].end 423.35721875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 424.21784375
transcript.pyannote[144].end 426.31034375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 427.10346875
transcript.pyannote[145].end 429.93846875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 430.76534375
transcript.pyannote[146].end 431.96346875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 432.46971875
transcript.pyannote[147].end 434.25846875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 434.44409375
transcript.pyannote[148].end 435.64221875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 436.73909375
transcript.pyannote[149].end 438.02159375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 438.32534375
transcript.pyannote[150].end 441.43034375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 441.80159375
transcript.pyannote[151].end 443.16846875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 443.97846875
transcript.pyannote[152].end 445.44659375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 445.78409375
transcript.pyannote[153].end 450.34034375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 450.77909375
transcript.pyannote[154].end 452.90534375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 455.68971875
transcript.pyannote[155].end 459.75659375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 460.48221875
transcript.pyannote[156].end 462.91221875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 463.68846875
transcript.pyannote[157].end 465.07221875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 465.66284375
transcript.pyannote[158].end 466.79346875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 467.11409375
transcript.pyannote[159].end 471.55221875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 472.56471875
transcript.pyannote[160].end 473.89784375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 474.62346875
transcript.pyannote[161].end 481.44096875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 481.55909375
transcript.pyannote[162].end 483.02721875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 483.76971875
transcript.pyannote[163].end 485.10284375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 485.67659375
transcript.pyannote[164].end 486.89159375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 487.12784375
transcript.pyannote[165].end 488.15721875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 489.37221875
transcript.pyannote[166].end 489.77721875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 489.96284375
transcript.pyannote[167].end 490.28346875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 490.43534375
transcript.pyannote[168].end 491.88659375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 491.88659375
transcript.pyannote[169].end 492.30846875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 492.30846875
transcript.pyannote[170].end 494.43471875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 494.53596875
transcript.pyannote[171].end 495.49784375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 496.00409375
transcript.pyannote[172].end 497.60721875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 498.48471875
transcript.pyannote[173].end 501.16784375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 501.70784375
transcript.pyannote[174].end 503.05784375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 503.49659375
transcript.pyannote[175].end 505.38659375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 505.97721875
transcript.pyannote[176].end 507.10784375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 508.32284375
transcript.pyannote[177].end 511.00596875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 511.68096875
transcript.pyannote[178].end 512.45721875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 512.59221875
transcript.pyannote[179].end 513.72284375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 513.89159375
transcript.pyannote[180].end 514.38096875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 514.16159375
transcript.pyannote[181].end 525.70409375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 519.69659375
transcript.pyannote[182].end 520.10159375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 525.92346875
transcript.pyannote[183].end 529.12971875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 529.97346875
transcript.pyannote[184].end 531.59346875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 531.76221875
transcript.pyannote[185].end 535.37346875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 536.25096875
transcript.pyannote[186].end 537.61784375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 538.07346875
transcript.pyannote[187].end 539.49096875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 540.67221875
transcript.pyannote[188].end 541.19534375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 542.02221875
transcript.pyannote[189].end 543.05159375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 543.84471875
transcript.pyannote[190].end 547.48971875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 547.99596875
transcript.pyannote[191].end 548.62034375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 548.73846875
transcript.pyannote[192].end 551.60721875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 551.96159375
transcript.pyannote[193].end 554.27346875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 554.71221875
transcript.pyannote[194].end 555.89346875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 556.85534375
transcript.pyannote[195].end 559.94346875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 560.43284375
transcript.pyannote[196].end 560.83784375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 561.24284375
transcript.pyannote[197].end 564.34784375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 564.39846875
transcript.pyannote[198].end 566.35596875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 567.25034375
transcript.pyannote[199].end 569.14034375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 569.88284375
transcript.pyannote[200].end 572.09346875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 572.53221875
transcript.pyannote[201].end 577.24034375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 577.62846875
transcript.pyannote[202].end 582.79221875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 583.18034375
transcript.pyannote[203].end 586.70721875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 585.39096875
transcript.pyannote[204].end 585.96471875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 586.70721875
transcript.pyannote[205].end 587.14596875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 587.07846875
transcript.pyannote[206].end 587.38221875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 587.63534375
transcript.pyannote[207].end 596.47784375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 593.84534375
transcript.pyannote[208].end 595.16159375
transcript.whisperx[0].start 15.829
transcript.whisperx[0].end 23.923
transcript.whisperx[0].text 請農業部的這個胡宗義副次長叫國發會彭副主委來請好請胡次長跟我們彭副主委
transcript.whisperx[1].start 28.463
transcript.whisperx[1].end 50.922
transcript.whisperx[1].text 胡市長嘛是 委員好以前是農糧署的署長國內這個農糧跟公糧應該是重重競爬啦是所以我今天利用這個時間你今天剛好來因為立法院這個第一會期就通過了這個公糧收購所以我們今天要調高五塊錢嘛大家都很努力這個第一個是立法院通過的第二個經過跟行政院長行政院的這個協商
transcript.whisperx[2].start 52.563
transcript.whisperx[2].end 76.98
transcript.whisperx[2].text 那部長 包括部長都有說要這個完整的配套要好好再推動嘛那目前只調高了三分之一就是一塊八左右本來是三塊嘛那顯然分階段還要再去調整那我請你要前提去促成這個事情好不好所以我們現在很緊張啦一級二轉三加三很緊張不斷答應外地說他最近會安排例如說我們下鄉去傾聽這個農民的聲音嘛這個我們要趕快做
transcript.whisperx[3].start 79.482
transcript.whisperx[3].end 103.557
transcript.whisperx[3].text 好 因為我們這個上個會期有動了今年度的業務費30%我本來認為說你們跳票只做了三分之一嘛因為立法院過的是一公斤五塊錢我們現在只調了1.82嘛那本來是要刪減你們的業務費的後來經過大家草野協商包括玉嶼他們都有進來一起協商所以沒有刪減可是凍結了30%那就要趕快去解決這個問題我們會尊重
transcript.whisperx[4].start 105.378
transcript.whisperx[4].end 119.743
transcript.whisperx[4].text 照顧好我們的農民啦一方面你是農糧的專業你對這個事情最了解一方面是我們要好好去照顧我們的農民好不好是是沒問題沒問題當然當然這事情就滿你好不好盡快去達到每公斤調高五塊錢這個目標好不好我們會全力來做的好謝謝市長謝謝來副市委是委員長來看一下你們這個網頁啊國發會定名
transcript.whisperx[5].start 129.654
transcript.whisperx[5].end 153.563
transcript.whisperx[5].text 國外的網友說你們在促進產業發展上面你們去協調推動能源政策跟相關的計畫結果現在發現你們去協調完之後我們的能源結構還是出了一堆問題過幾天就要漲電價了漲電價對產業也會有很大的衝擊不只民生啊對整個產業也會有很大的衝擊啊我現在要問幾個很重要的問題經過你們協調
transcript.whisperx[6].start 156.963
transcript.whisperx[6].end 169.761
transcript.whisperx[6].text 再生能源有沒有達到你們國發會本來預定的這個目標你看一下喔 總統府本來在108年的時候總統府說再生能源在2025年的今年就要達到20%
transcript.whisperx[7].start 172.213
transcript.whisperx[7].end 193.837
transcript.whisperx[7].text 不只跳票 跳得太離譜了現在大概只到12%嘛 對不對這是一個 國發會你說這個2050年要達到60到70%看起來這個目標看起來也不容易特別是我們用最近的來檢驗你說2030年就要到30%2035年要達到再生能源36%你覺得你們國家檢探新目標這再生能源有辦法達到嗎
transcript.whisperx[8].start 200.632
transcript.whisperx[8].end 226.407
transcript.whisperx[8].text 跟委員報告現在2025年再生能源佔比是百分之二十啦那目標是什麼是延後到2026年才會搭配再生能源夠不夠今天通信的12%而已啦12%啊你們總統府本來說要20%已經跳票了嘛那現在延到說要往後一年可是明年度總統府說明年才會搞可是看起來是跳票啊你們國發會訂的是2030年要30老實講
transcript.whisperx[9].start 230.479
transcript.whisperx[9].end 241.486
transcript.whisperx[9].text 難度很高啦我今天的質疑點就是說你國家發展很重要 你是領頭羊啊你訂目標要確而實際 對不對這確而實際嘛 如果訂完之後就一定要去達成 好不好來來來 我跟你講更嚴重的來不只達不到 你來看一下
transcript.whisperx[10].start 248.629
transcript.whisperx[10].end 264.639
transcript.whisperx[10].text 童子賢啊 童子賢是國家氣候變遷對策委員會副召集人 召集人就是賴總統啦童子賢是副召集人 他怎麼說他說20 現在 現在如果他用前年2023年的這個用電來算我們全國用了2821億度的這個電
transcript.whisperx[11].start 270.362
transcript.whisperx[11].end 295.196
transcript.whisperx[11].text 他說這個電如果全部都是向你們推再生能源用光電板去算會很恐怖耶這影響到我們全台灣人的生活空間他說如果全部用太陽能來發這個國家要用的電要需要10.5個台北市的這個面積就像台灣啊全部的面積有8%台灣有高山嘛對不對可以用的大部分比較精華都是平原嘛平原的30%三層全部都鋪蓋這個光電板
transcript.whisperx[12].start 300.762
transcript.whisperx[12].end 320.396
transcript.whisperx[12].text 太陽光電板不可能嘛那這樣的話台灣就活不下去啦生活空間啊所以顯然在推動這個你說你不要去協調這個國家的這個能源的時候這個要非常注意好不好好謝謝他影響到生命的這個健康喔是生命的健康我先給大家看一個2019年啊
transcript.whisperx[13].start 322.649
transcript.whisperx[13].end 334.859
transcript.whisperx[13].text 國際大型的公衛研究發現 他說什麼你如果是燒煤 燒煤這個煤增加1000瓦男性罹癌的這個比例就會增加59%女性更高 85%他們還進一步推估說2025年全球的這幾年
transcript.whisperx[14].start 347.799
transcript.whisperx[14].end 367.746
transcript.whisperx[14].text 全世界有137萬個標準化的肺癌這個病例跟燃煤都是有關的那你們應該有責任你們定了目標而且你們要推再生能源結果煤越燒越大你看今年的發展是什麼把河山廠的一號機停掉馬上又要停二號機了以後就非核加鹽了低碳
transcript.whisperx[15].start 370.984
transcript.whisperx[15].end 373.265
transcript.whisperx[15].text 核能沒有啦 零喔 增價是什麼?
transcript.whisperx[16].start 373.265
transcript.whisperx[16].end 386.61
transcript.whisperx[16].text 九年啊 賣掉 我們現在買電本來是已經停了對不對?結果又延長 你看分年 假期 中華台中那些人多可憐這個我希望國泡會要好好注意喔另外 還影響到什麼?
transcript.whisperx[17].start 386.61
transcript.whisperx[17].end 390.272
transcript.whisperx[17].text 很多國人的生活的支出面 過去三年漲四次
transcript.whisperx[18].start 391.494
transcript.whisperx[18].end 406.882
transcript.whisperx[18].text 世界一樣愚人節又要這樣第五次這個人民生活受到影響企業也受到影響好第四個台電的財務面我今天給大家看一個很重要的財報這是第一次出現的財報台電一月份啊
transcript.whisperx[19].start 409.629
transcript.whisperx[19].end 426.223
transcript.whisperx[19].text 虧損累累 光是1月份就虧損了97億有夠恐怖的喔台電以前是金雞模 他以前每年都可以剩餘兩三百億還給我們國庫了現在光是一個1月份 虧損了97億大家看一下 核能幫他賺了8億他雖然虧97億 核能還是幫他賺錢的喔
transcript.whisperx[20].start 430.994
transcript.whisperx[20].end 451.57
transcript.whisperx[20].text 結果在最近5月17號核能要停掉那虧損不是更大嗎另外一個恐怖的數據你看風電喔1月份我們買風電都是可以買的太貴就虧損了56億天然氣虧了13另外除了自己台電自己的虧損用天然氣虧損13億之外外購的去外面買的又虧15億這個洞補不了啦不只是撥補1000億2000億
transcript.whisperx[21].start 460.709
transcript.whisperx[21].end 487.528
transcript.whisperx[21].text 這個無底洞補不了你在漲電價一直漲也沒辦法解決問題嘛這個是多嚴重的一個問題這是第一次我給大家看的這是台電自己的財務報表一個月虧97億光電特別是光電請大家看一下光電跟風電那個損害有多大然後你又把最便宜的核電把它拿掉你說你要幫這個企業企業碰到一個很大的問題企業馬上就碰到碳配的問題對不對
transcript.whisperx[22].start 489.403
transcript.whisperx[22].end 506.669
transcript.whisperx[22].text 副主委馬上看到碳費的問題碳費核電是低碳嘛幾乎是零碳啊結果你現在燒煤燒天然氣啊這個錢就附加在你這個碳費就附加在這個企業的這個身上了嘛影響了企業的發展跟他的競爭力嘛好最後我做一個結論
transcript.whisperx[23].start 508.356
transcript.whisperx[23].end 533.866
transcript.whisperx[23].text 好好去檢討剛剛五個面向的這個大問題好不好好健康的這個問題是我們人民生活的這個整個面積環境的這個問題還有這個電價的這個問題是最後我建議我做四個建議第一個我們好好去檢討能源的政策的錯誤包括是不是應該趕快要重啟核電第二個現在行政院長跟每次都在講說要重啟核電碰到一個問題要社會共識
transcript.whisperx[24].start 536.374
transcript.whisperx[24].end 555.543
transcript.whisperx[24].text 現在民調都很清楚啊以和養立公投也都過了啊你如果應該遵從民意嘛可是行政院到現在都還一直在講社會共識那我們今天鄭重的呼籲依照公投法第14條第一項的規定行政部門也可以倡議開始公投啊你們要社會共識
transcript.whisperx[25].start 556.912
transcript.whisperx[25].end 566.245
transcript.whisperx[25].text 行政部門提案我們來公投一次到底要不要重啟核電另外加速去處理核廢料最終處理廠的這個問題這是法律上規定行政部門要做的
transcript.whisperx[26].start 567.284
transcript.whisperx[26].end 594.702
transcript.whisperx[26].text 到現在都沒有好好做要加速第四個檢視核電廠的運作的這個安全好不好趕快去做這四點更重要的我現在今天拿的是你的網站上面的你既然要去協調要去檢視整個我們的能源政策要去振興產業這四個建議趕快做好不好而且從剛剛五個面向是一定要照顧到人民要去振興我們的這個景氣讓我們的能源政策整個回到正常好不好不要再這樣一直錯誤下去好 謝謝主委好 主席謝謝好