iVOD / 168327

Field Value
IVOD_ID 168327
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168327
日期 2026-04-09
會議資料.會議代碼 委員會-11-5-19-8
會議資料.會議代碼:str 第11屆第5會期經濟委員會第8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 8
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8次全體委員會議
影片種類 Clip
開始時間 2026-04-09T09:50:44+08:00
結束時間 2026-04-09T10:01:51+08:00
影片長度 00:11:07
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fe6424cd58e46bc7355326f9e601e54dff16f9abdda18f348ce3249aa741ed41da828a474ca019315ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 洪毓祥
委員發言時間 09:50:44 - 10:01:51
會議時間 2026-04-09T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第8次全體委員會議(事由:邀請經濟部部長、農業部部長、公平交易委員會代理主任委員、衛生福利部首長、法務部首長及行政院消費者保護處首長就「中東衝突加劇市場不確定性,致國內包括乙烯、塑膠、化肥、瀝青等石化原物料及物流成本增加,屢傳缺料、囤貨現象等之問題評估、因應策略與現況」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 2.29221875
transcript.pyannote[0].end 6.51096875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 6.02159375
transcript.pyannote[1].end 6.46034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 6.51096875
transcript.pyannote[2].end 7.94534375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 7.97909375
transcript.pyannote[3].end 9.49784375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 8.08034375
transcript.pyannote[4].end 9.64971875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 9.64971875
transcript.pyannote[5].end 9.66659375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 10.08846875
transcript.pyannote[6].end 11.67471875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 14.07096875
transcript.pyannote[7].end 14.08784375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 14.08784375
transcript.pyannote[8].end 14.72909375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 16.99034375
transcript.pyannote[9].end 17.66534375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 18.03659375
transcript.pyannote[10].end 18.93096875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 19.47096875
transcript.pyannote[11].end 19.97721875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 20.28096875
transcript.pyannote[12].end 21.51284375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 22.22159375
transcript.pyannote[13].end 25.37721875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 25.95096875
transcript.pyannote[14].end 29.03909375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 29.39346875
transcript.pyannote[15].end 30.42284375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 31.77284375
transcript.pyannote[16].end 32.29596875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 32.46471875
transcript.pyannote[17].end 34.54034375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 34.96221875
transcript.pyannote[18].end 39.14721875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 39.19784375
transcript.pyannote[19].end 40.46346875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 41.94846875
transcript.pyannote[20].end 43.58534375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 43.77096875
transcript.pyannote[21].end 44.12534375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 46.45409375
transcript.pyannote[22].end 46.96034375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 48.34409375
transcript.pyannote[23].end 49.05284375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 51.01034375
transcript.pyannote[24].end 51.56721875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 52.57971875
transcript.pyannote[25].end 53.22096875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 54.38534375
transcript.pyannote[26].end 54.70596875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 55.19534375
transcript.pyannote[27].end 58.72221875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 59.65034375
transcript.pyannote[28].end 60.74721875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 61.20284375
transcript.pyannote[29].end 62.16471875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 62.63721875
transcript.pyannote[30].end 71.76659375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 72.10409375
transcript.pyannote[31].end 74.93909375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 75.37784375
transcript.pyannote[32].end 76.69409375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 77.21721875
transcript.pyannote[33].end 82.26284375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 83.08971875
transcript.pyannote[34].end 83.47784375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 83.78159375
transcript.pyannote[35].end 99.77909375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 100.23471875
transcript.pyannote[36].end 104.33534375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 104.68971875
transcript.pyannote[37].end 105.75284375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 106.69784375
transcript.pyannote[38].end 114.07221875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 114.24096875
transcript.pyannote[39].end 119.05034375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 119.45534375
transcript.pyannote[40].end 126.89721875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 127.42034375
transcript.pyannote[41].end 129.20909375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 129.71534375
transcript.pyannote[42].end 133.19159375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 133.63034375
transcript.pyannote[43].end 135.80721875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 136.34721875
transcript.pyannote[44].end 137.73096875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 137.98409375
transcript.pyannote[45].end 141.07221875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 141.76409375
transcript.pyannote[46].end 143.95784375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 144.71721875
transcript.pyannote[47].end 146.30346875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 146.59034375
transcript.pyannote[48].end 148.83471875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 149.47596875
transcript.pyannote[49].end 151.01159375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 151.36596875
transcript.pyannote[50].end 152.46284375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 153.12096875
transcript.pyannote[51].end 157.01909375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 157.42409375
transcript.pyannote[52].end 161.30534375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 161.91284375
transcript.pyannote[53].end 164.69721875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 165.20346875
transcript.pyannote[54].end 170.46846875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 170.72159375
transcript.pyannote[55].end 178.11284375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 178.43346875
transcript.pyannote[56].end 180.23909375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 180.49221875
transcript.pyannote[57].end 182.29784375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 182.73659375
transcript.pyannote[58].end 186.02721875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 187.46159375
transcript.pyannote[59].end 188.00159375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 188.37284375
transcript.pyannote[60].end 192.27096875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 192.91221875
transcript.pyannote[61].end 193.82346875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 194.00909375
transcript.pyannote[62].end 199.02096875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 199.59471875
transcript.pyannote[63].end 207.69471875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 209.65221875
transcript.pyannote[64].end 224.50221875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 223.92846875
transcript.pyannote[65].end 226.51034375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 226.59471875
transcript.pyannote[66].end 231.38721875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 230.76284375
transcript.pyannote[67].end 232.60221875
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 233.04096875
transcript.pyannote[68].end 236.31471875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 234.82971875
transcript.pyannote[69].end 237.52971875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 237.73221875
transcript.pyannote[70].end 238.91346875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 239.52096875
transcript.pyannote[71].end 245.24159375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 244.61721875
transcript.pyannote[72].end 247.23284375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 247.36784375
transcript.pyannote[73].end 251.46846875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 251.51909375
transcript.pyannote[74].end 251.55284375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 251.60346875
transcript.pyannote[75].end 253.99971875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 254.23596875
transcript.pyannote[76].end 255.07971875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 255.78846875
transcript.pyannote[77].end 257.08784375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 256.04159375
transcript.pyannote[78].end 261.22221875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 261.20534375
transcript.pyannote[79].end 267.31409375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 266.33534375
transcript.pyannote[80].end 280.13909375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 280.40909375
transcript.pyannote[81].end 291.19221875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 285.15096875
transcript.pyannote[82].end 285.30284375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 288.34034375
transcript.pyannote[83].end 297.40221875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 296.74409375
transcript.pyannote[84].end 314.51346875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 300.50721875
transcript.pyannote[85].end 300.91221875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 314.51346875
transcript.pyannote[86].end 314.54721875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 314.54721875
transcript.pyannote[87].end 314.81721875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 314.81721875
transcript.pyannote[88].end 314.90159375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 315.08721875
transcript.pyannote[89].end 316.18409375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 316.18409375
transcript.pyannote[90].end 316.20096875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 316.20096875
transcript.pyannote[91].end 316.23471875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 316.23471875
transcript.pyannote[92].end 316.87596875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 317.39909375
transcript.pyannote[93].end 318.64784375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 318.83346875
transcript.pyannote[94].end 322.78221875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 323.38971875
transcript.pyannote[95].end 333.97034375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 334.96596875
transcript.pyannote[96].end 355.11471875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 355.43534375
transcript.pyannote[97].end 357.12284375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 357.39284375
transcript.pyannote[98].end 358.01721875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 358.54034375
transcript.pyannote[99].end 360.83534375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 361.17284375
transcript.pyannote[100].end 362.06721875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 362.55659375
transcript.pyannote[101].end 365.86409375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 366.04971875
transcript.pyannote[102].end 370.69034375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 371.31471875
transcript.pyannote[103].end 376.74846875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 377.44034375
transcript.pyannote[104].end 378.03096875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 378.03096875
transcript.pyannote[105].end 378.79034375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 379.09409375
transcript.pyannote[106].end 399.61409375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 389.77596875
transcript.pyannote[107].end 389.84346875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 399.95159375
transcript.pyannote[108].end 408.64221875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 408.89534375
transcript.pyannote[109].end 410.27909375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 410.71784375
transcript.pyannote[110].end 414.31221875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 414.39659375
transcript.pyannote[111].end 414.43034375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 414.43034375
transcript.pyannote[112].end 422.56409375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 423.01971875
transcript.pyannote[113].end 432.52034375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 433.41471875
transcript.pyannote[114].end 433.95471875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 434.41034375
transcript.pyannote[115].end 439.10159375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 439.40534375
transcript.pyannote[116].end 439.62471875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 439.57409375
transcript.pyannote[117].end 441.63284375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 441.63284375
transcript.pyannote[118].end 443.21909375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 441.85221875
transcript.pyannote[119].end 445.76721875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 447.06659375
transcript.pyannote[120].end 461.56221875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 452.09534375
transcript.pyannote[121].end 452.23034375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 452.56784375
transcript.pyannote[122].end 452.92221875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 452.92221875
transcript.pyannote[123].end 452.97284375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 461.71409375
transcript.pyannote[124].end 468.19409375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 468.34596875
transcript.pyannote[125].end 471.11346875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 470.16846875
transcript.pyannote[126].end 473.32409375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 472.00784375
transcript.pyannote[127].end 481.45784375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 475.92284375
transcript.pyannote[128].end 476.36159375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 481.91346875
transcript.pyannote[129].end 486.77346875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 487.17846875
transcript.pyannote[130].end 490.78971875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 492.62909375
transcript.pyannote[131].end 493.16909375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 493.87784375
transcript.pyannote[132].end 535.10346875
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 536.23409375
transcript.pyannote[133].end 536.55471875
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 537.16221875
transcript.pyannote[134].end 589.20471875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 588.07409375
transcript.pyannote[135].end 600.32534375
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 599.90346875
transcript.pyannote[136].end 613.63971875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 606.87284375
transcript.pyannote[137].end 607.31159375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 611.04096875
transcript.pyannote[138].end 616.25534375
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 614.90534375
transcript.pyannote[139].end 627.20721875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 621.58784375
transcript.pyannote[140].end 621.87471875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 625.65471875
transcript.pyannote[141].end 629.97471875
transcript.pyannote[142].speaker SPEAKER_04
transcript.pyannote[142].start 629.36721875
transcript.pyannote[142].end 630.48096875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 630.73409375
transcript.pyannote[143].end 635.83034375
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 635.37471875
transcript.pyannote[144].end 638.39534375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 636.42096875
transcript.pyannote[145].end 647.65971875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 646.49534375
transcript.pyannote[146].end 646.51221875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 646.51221875
transcript.pyannote[147].end 646.54596875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 646.54596875
transcript.pyannote[148].end 646.56284375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 647.99721875
transcript.pyannote[149].end 661.27784375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 661.64909375
transcript.pyannote[150].end 661.93596875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 663.03284375
transcript.pyannote[151].end 665.00721875
transcript.whisperx[0].start 2.349
transcript.whisperx[0].end 29.503
transcript.whisperx[0].text 好 謝謝主席我們有請經濟部消保處經濟部長公平會法務部公平會法務部趙偉豪我想這個中東戰火那我們大概在初期現在我們大概都在捕破網那政府失能之後我們就匆匆忙忙連滾帶爬
transcript.whisperx[1].start 31.803
transcript.whisperx[1].end 58.431
transcript.whisperx[1].text 那這個就是過去我們一堆不管是各地方黨部朝野政黨立委都會收到這一堆東西塑膠袋之亂農業包材的缺貨對不對釐清也是缺貨醫材也是缺所以這看了很多所以會從一個點就跑到很多的點
transcript.whisperx[2].start 59.687
transcript.whisperx[2].end 77.695
transcript.whisperx[2].text 那缺貨完大概就是漲價那當然我們去查的理由當然就是原物料短缺嘛我們的石化這些原物料供應鏈就生不出來斷層然後你就囤貨然後再來就是轉嫁就是高價就漲了所以這個東西來講的話呢就變成是說我們現在看到的這個狀況
transcript.whisperx[3].start 83.154
transcript.whisperx[3].end 105.595
transcript.whisperx[3].text 那稍微都統計了 這我想各位經濟部、農業部、公民會、消保你們這些大概都清楚 比稀塑膠原料漲價20%那農業部的報告也寫 尿素上漲54.3因為跟我們的肥料有關係 醫安也是那醫療器材就是我們的塑膠、食品、藥品的包材這些都是大幅上升
transcript.whisperx[4].start 107.015
transcript.whisperx[4].end 126.168
transcript.whisperx[4].text 那政府行政院當然就會講說我專案會議一堆那現在我的問題就是說我們都政府都強調說我有專案會議啊我也有開會嘛我也找了經濟部農業部我也啟動了這個消保公平對不對這一堆來調查
transcript.whisperx[5].start 127.509
transcript.whisperx[5].end 152.285
transcript.whisperx[5].text 所以我們就會常聽到說有我有開會我有專案我有機場我有平台可是我覺得這個跟我們民眾距離很遙遠民眾他只關心說東西有沒有買得到然後價格有沒有穩住其實我現在更想問的是這種東西我們是第一次發生嘛就下次再來一次不管是什麼因素
transcript.whisperx[6].start 153.366
transcript.whisperx[6].end 166.983
transcript.whisperx[6].text 這個就是有點諷刺我們一直講說要任性可是這個任性好像都是一個東西打下來之後就不見了所以我現在想要問的就是說經濟部這邊跟我們這些消保處還有公平會
transcript.whisperx[7].start 170.828
transcript.whisperx[7].end 179.554
transcript.whisperx[7].text 我去稍微調查尤其像消保處說3月3號到4月7號開了5次會議配合稽查29次配合其他機關28次每週查訪17項聽起來好像很多我想請問一下消保處就是說你們的這個預警的指標到底會是什麼
transcript.whisperx[8].start 192.987
transcript.whisperx[8].end 207.518
transcript.whisperx[8].text 然後呢就是你的價格漲幅啊超過多少才要限制然後你要啟動就是什麼時候低於多久你要啟動一些的什麼一級應變等等有沒有這樣的準則在消保
transcript.whisperx[9].start 210.488
transcript.whisperx[9].end 238.008
transcript.whisperx[9].text 我們因為是這個聯機小組那在聯機小組裡面的這個有分一級二級三級那原則上我們現在每期就是我們現在每週因為本來我們定期查17項的民生物資17項有包含剛剛我們講的這些嗎是沒有塑膠袋17項重要民生物資沒有塑膠袋所以塑膠袋不算民生物資目前不在這個17項 也沒有人跟你說這個很重要要去查還是說這個
transcript.whisperx[10].start 239.554
transcript.whisperx[10].end 254.376
transcript.whisperx[10].text 我們會觀測因為我們聯機小組也會開會就是發現輿情上面有什麼樣的反應這個就是我說的就是就會開會然後開會就告訴你說我有去查查就這樣子可是跟我剛剛講的那個民眾的距離很遙遠
transcript.whisperx[11].start 255.834
transcript.whisperx[11].end 276.602
transcript.whisperx[11].text 我們兩個最遙遠的距離就是我都覺得有在漲你都說有在查所以我們就會跟聯基小組一起去查所以的確我們這次也進行了這些稽查的工作公平會剛剛也是被問很多啦我當然我也了解你的苦衷有聯合漲價什麼等等但不管啦我上次已經跟公平會說過你那個動作樣式還是要擺出來嘛
transcript.whisperx[12].start 281.405
transcript.whisperx[12].end 290.49
transcript.whisperx[12].text 我們已經有立案調查了針對塑膠袋這個部分那釐清的部分我們也去了解跟工會進行初步了解我們專關確定是因為釐清昨天也是很多委員在問因為你光我們台電中油
transcript.whisperx[13].start 296.954
transcript.whisperx[13].end 315.927
transcript.whisperx[13].text 從公民會的執掌裡面我們會關切末端的那個交易狀況那就是供貨供貨的確現在出現了不確定性然後價格上漲所以在利清的業者部分他們只能目前大概是鼓勵這個會員或是相關的同業或是買方去規劃一下那個工程的進度那個經濟部應該說利清是夠的
transcript.whisperx[14].start 317.984
transcript.whisperx[14].end 333.966
transcript.whisperx[14].text 現在到存貨啦現在可以供應到五月底六月份這個台塑它已經在因為它到五月底是OK的嘛所以它六月份的部分它已經在國際間想辦法要進口了
transcript.whisperx[15].start 335.011
transcript.whisperx[15].end 353.337
transcript.whisperx[15].text 好啦就是我相信各位都很努力啦那再順便請教經濟度問題就是說我們現在的話呢你也去拜託中油對不對世青要提前開路也協調台塑化台聚維持一些供應好那看起來塑膠袋你認為這個供應量應該是足夠
transcript.whisperx[16].start 355.498
transcript.whisperx[16].end 374.693
transcript.whisperx[16].text 可是我的看法是說如果我們上游是有料的真的穩住了中游也都能中間的中中游也真的夠然後生產的出來下游如果也真的通我就搞不懂就是說我們為什麼還要緊急打電話專線臨時煤核點撞
transcript.whisperx[17].start 378.293
transcript.whisperx[17].end 399.23
transcript.whisperx[17].text 來補這個破洞報告委員因為我們這個平價專案是從這個禮拜才開始啟動那中油的料已經給這個台塑了那台塑應該他做了以後明天就可以開始出貨所以這筆貨是平價的我們會慢慢到生產端然後鋪貨出去但是呢
transcript.whisperx[18].start 400.071
transcript.whisperx[18].end 421.538
transcript.whisperx[18].text 因為這些中東事情開始發生以後呢在最末端大家會有一些預期心理是不是可能會有比較緊俏的狀況所以這種狀況就需要我們趕快去關懷調度我比較喜歡從數位科技的角度來看我剛點了這幾個問題就是說在行政院物價肯定小組裡面這些都是參與的單位嘛
transcript.whisperx[19].start 423.118
transcript.whisperx[19].end 442.717
transcript.whisperx[19].text 所以我是覺得那整個上中下有整個戰情室整個這些資訊的通透到了我末端的供應上中下有這些的資料information我覺得行政院不管是哪一個部會要去負責你們就要 不然就是經濟部嘛我們產發署去負責把這個系統對不對
transcript.whisperx[20].start 447.116
transcript.whisperx[20].end 467.853
transcript.whisperx[20].text 知道我在講什麼 邱署長應該知道我在講什麼我覺得這個很重要 因為我們已經喊了那麼多年嘛 是吧所以我覺得這件事情是不是從現在開始做了然後以後就是比較不會說我上游好像也有 中游也都夠了 然後剛剛委員一堆啊我的攤販 小吃 夜市 商場 那就是沒有了
transcript.whisperx[21].start 468.433
transcript.whisperx[21].end 488.248
transcript.whisperx[21].text 對不對那你要跨到部會去農業部會是還有啦我說整個部會嘛行政院是一個整體嘛那你農業部衛財衛福部的醫財這些等等也都是好那我想這個經濟部就請回了各位這些請回休息一下我想請這個農業部跟這個衛福部就是
transcript.whisperx[22].start 493.962
transcript.whisperx[22].end 512.797
transcript.whisperx[22].text 在我們現在這個資料裡面在農業部我是覺得這一次有去做一些預警對不對然後有去做一些的這樣子的補貼那我覺得衛福部這邊建立了醫材放醫通報但是我們也動資了健保安全基我是覺得說這種補貼到什麼時候會結束因為價格還是要穩下來嘛
transcript.whisperx[23].start 517.761
transcript.whisperx[23].end 534.859
transcript.whisperx[23].text 我們很多醫材的一線的同仁也去反映就是我叫不到貨然後一堆我的看病好像也要漲等等這一個200億的健保安全準備金各位請衛福部說明一下
transcript.whisperx[24].start 537.43
transcript.whisperx[24].end 562.616
transcript.whisperx[24].text 謝謝委員我先補充喔在我們在3月23的時候衛福部這邊就發現到我們在相關的藥品醫材還有包材的部分可能會受到衝擊所以其實3月23衛福部就先發文給經濟部請產發署協助我們能夠穩定我們在相關的醫療用品醫療衛材前端的原料供應這個部分先跟委員做報告那委員這邊提到的200億的安全準備金是準備其實是去年在我們的相關任性的議題裡面
transcript.whisperx[25].start 563.576
transcript.whisperx[25].end 587.79
transcript.whisperx[25].text 準備說如果因為關稅或者是在這一次的因為戰爭等等的原因造成我們健保一些藥品或者是醫材必須要調整藥價的時候他可能會有必須要有一個準備不然的話超過我們的總額那這一塊當然我們現在已經啟動就是說假如這個藥品或者是醫材他有明確的這個成本上升那廠商這邊的他的價格必須要去調整我們的健保給付價的時候
transcript.whisperx[26].start 588.07
transcript.whisperx[26].end 613.562
transcript.whisperx[26].text 我想有一些的就是說這些安全準備金的使用的方式因為當時是關稅嘛還沒有戰爭的爆發所以我想說這些的用途上面因為有些醫界的人是在所以這個部分也在跟我們補充就是說這個價格但是在這個部分也不能隨便就是去價格高薪多少就多少所以在健保這邊要重新去調整如果必須重新調整幾付價格的話就是我認為要照顧到病人對不對我們醫護人員
transcript.whisperx[27].start 616.264
transcript.whisperx[27].end 637.283
transcript.whisperx[27].text 我們現在其實也謝謝產發署的協助我們現在我們都在媒合我們相關的醫材這邊那其實有些醫材它的這個原物料它的供應它的庫存因為有時間不夠沒關係你再提書面的報告給我們我用書面的什麼我們這個書面的這個健保的這個安全的準備金我們會那我們提供我們的做法制度這些
transcript.whisperx[28].start 640.166
transcript.whisperx[28].end 663.924
transcript.whisperx[28].text 第一個農業波子剩一個問題就是說剛剛我們講那個肥料實名登記那我也請不用回答我就回去調查一下再給我書面就好就有些農民的使用他覺得有點蘿莉巴縮那看看是不是說強制使用跟回饋使用這裡頭有沒有什麼樣子的要改善之處好不好再書面報告給我這樣子 謝謝