iVOD / 163589

Field Value
IVOD_ID 163589
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163589
日期 2025-08-20
會議資料.會議代碼 委員會-11-3-19-20
會議資料.會議代碼:str 第11屆第3會期經濟委員會第20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 20
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20次全體委員會議
影片種類 Clip
開始時間 2025-08-20T09:34:59+08:00
結束時間 2025-08-20T09:45:54+08:00
影片長度 00:10:55
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3feaef107a98f0c98af6cbfa178cd5b90ed9bbdce0c54962345a8bd8ab953c937de200420ef263515ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林岱樺
委員發言時間 09:34:59 - 09:45:54
會議時間 2025-08-20T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第20次全體委員會議(事由:邀請經濟部部長就「協助中小企業災後復原辦理情況」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 15.47159375
transcript.pyannote[0].end 16.43346875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 17.80034375
transcript.pyannote[1].end 18.25596875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 25.22534375
transcript.pyannote[2].end 25.66409375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 25.78221875
transcript.pyannote[3].end 30.81096875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 31.75596875
transcript.pyannote[4].end 34.91159375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 35.92409375
transcript.pyannote[5].end 37.12221875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 37.12221875
transcript.pyannote[6].end 41.27346875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 41.62784375
transcript.pyannote[7].end 53.11971875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 53.47409375
transcript.pyannote[8].end 57.50721875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 57.82784375
transcript.pyannote[9].end 61.69221875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 62.33346875
transcript.pyannote[10].end 68.25659375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 68.79659375
transcript.pyannote[11].end 70.34909375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 70.48409375
transcript.pyannote[12].end 78.09471875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 78.31409375
transcript.pyannote[13].end 89.63721875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 89.85659375
transcript.pyannote[14].end 90.93659375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 92.03346875
transcript.pyannote[15].end 101.71971875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 102.52971875
transcript.pyannote[16].end 106.81596875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 107.67659375
transcript.pyannote[17].end 108.63846875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 109.11096875
transcript.pyannote[18].end 112.09784375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 112.80659375
transcript.pyannote[19].end 119.40471875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 119.80971875
transcript.pyannote[20].end 127.33596875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 127.67346875
transcript.pyannote[21].end 136.33034375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 136.78596875
transcript.pyannote[22].end 137.02221875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 137.22471875
transcript.pyannote[23].end 138.86159375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 140.16096875
transcript.pyannote[24].end 140.59971875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 141.08909375
transcript.pyannote[25].end 144.90284375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 145.47659375
transcript.pyannote[26].end 146.84346875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 147.53534375
transcript.pyannote[27].end 154.03221875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 154.18409375
transcript.pyannote[28].end 157.52534375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 157.93034375
transcript.pyannote[29].end 159.87096875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 160.34346875
transcript.pyannote[30].end 167.95409375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 168.44346875
transcript.pyannote[31].end 170.31659375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 170.56971875
transcript.pyannote[32].end 182.90534375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 183.90096875
transcript.pyannote[33].end 186.76971875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 187.05659375
transcript.pyannote[34].end 188.13659375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 188.91284375
transcript.pyannote[35].end 202.75034375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 203.03721875
transcript.pyannote[36].end 204.79221875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 204.99471875
transcript.pyannote[37].end 209.56784375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 210.42846875
transcript.pyannote[38].end 211.99784375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 212.13284375
transcript.pyannote[39].end 213.93846875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 215.32221875
transcript.pyannote[40].end 226.15596875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 227.18534375
transcript.pyannote[41].end 231.15096875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 231.38721875
transcript.pyannote[42].end 232.97346875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 233.29409375
transcript.pyannote[43].end 234.50909375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 235.50471875
transcript.pyannote[44].end 237.00659375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 237.17534375
transcript.pyannote[45].end 243.16596875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 244.00971875
transcript.pyannote[46].end 245.78159375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 246.28784375
transcript.pyannote[47].end 247.41846875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 248.26221875
transcript.pyannote[48].end 253.54409375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 248.29596875
transcript.pyannote[49].end 249.13971875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 250.59096875
transcript.pyannote[50].end 256.88534375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 257.18909375
transcript.pyannote[51].end 260.04096875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 259.99034375
transcript.pyannote[52].end 279.68346875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 260.26034375
transcript.pyannote[53].end 260.63159375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 279.97034375
transcript.pyannote[54].end 282.48471875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 282.95721875
transcript.pyannote[55].end 284.86409375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 285.45471875
transcript.pyannote[56].end 307.45971875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 308.28659375
transcript.pyannote[57].end 314.20971875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 315.30659375
transcript.pyannote[58].end 323.45721875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 324.01409375
transcript.pyannote[59].end 328.78971875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 329.85284375
transcript.pyannote[60].end 331.35471875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 334.76346875
transcript.pyannote[61].end 341.90159375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 342.05346875
transcript.pyannote[62].end 354.43971875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 354.59159375
transcript.pyannote[63].end 384.96659375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 374.33534375
transcript.pyannote[64].end 374.89221875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 383.27909375
transcript.pyannote[65].end 383.53221875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 384.96659375
transcript.pyannote[66].end 394.02846875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 394.02846875
transcript.pyannote[67].end 394.70346875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 395.26034375
transcript.pyannote[68].end 400.82909375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 400.99784375
transcript.pyannote[69].end 402.09471875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 401.03159375
transcript.pyannote[70].end 401.97659375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 402.21284375
transcript.pyannote[71].end 403.96784375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 403.96784375
transcript.pyannote[72].end 404.96346875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 404.96346875
transcript.pyannote[73].end 405.03096875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 405.35159375
transcript.pyannote[74].end 410.27909375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 410.76846875
transcript.pyannote[75].end 415.72971875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 415.93221875
transcript.pyannote[76].end 416.45534375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 417.04596875
transcript.pyannote[77].end 418.27784375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 418.46346875
transcript.pyannote[78].end 427.37346875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 427.60971875
transcript.pyannote[79].end 433.85346875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 434.27534375
transcript.pyannote[80].end 440.02971875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 440.04659375
transcript.pyannote[81].end 444.18096875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 446.30721875
transcript.pyannote[82].end 452.28096875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 454.22159375
transcript.pyannote[83].end 459.19971875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 459.38534375
transcript.pyannote[84].end 460.38096875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 460.71846875
transcript.pyannote[85].end 462.42284375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 462.45659375
transcript.pyannote[86].end 462.54096875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 463.53659375
transcript.pyannote[87].end 470.05034375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 463.94159375
transcript.pyannote[88].end 464.97096875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 469.91534375
transcript.pyannote[89].end 472.64909375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 473.29034375
transcript.pyannote[90].end 473.59409375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 474.06659375
transcript.pyannote[91].end 474.87659375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 476.31096875
transcript.pyannote[92].end 477.62721875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 478.06596875
transcript.pyannote[93].end 478.79159375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 479.63534375
transcript.pyannote[94].end 479.95596875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 480.93471875
transcript.pyannote[95].end 487.65096875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 488.96721875
transcript.pyannote[96].end 497.42159375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 497.82659375
transcript.pyannote[97].end 503.51346875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 503.91846875
transcript.pyannote[98].end 504.32346875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 504.64409375
transcript.pyannote[99].end 522.27846875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 522.75096875
transcript.pyannote[100].end 531.67784375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 532.50471875
transcript.pyannote[101].end 533.44971875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 533.60159375
transcript.pyannote[102].end 555.15096875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 555.52221875
transcript.pyannote[103].end 567.85784375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 567.94221875
transcript.pyannote[104].end 569.49471875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 569.59596875
transcript.pyannote[105].end 570.03471875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 570.03471875
transcript.pyannote[106].end 570.92909375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 570.92909375
transcript.pyannote[107].end 570.96284375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 571.51971875
transcript.pyannote[108].end 571.53659375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 571.53659375
transcript.pyannote[109].end 575.53596875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 575.82284375
transcript.pyannote[110].end 578.50596875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 578.79284375
transcript.pyannote[111].end 579.48471875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 579.61971875
transcript.pyannote[112].end 580.71659375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 584.78346875
transcript.pyannote[113].end 588.74909375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 589.28909375
transcript.pyannote[114].end 604.32471875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 604.49346875
transcript.pyannote[115].end 609.45471875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 610.26471875
transcript.pyannote[116].end 613.60596875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 612.86346875
transcript.pyannote[117].end 621.33471875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 615.59721875
transcript.pyannote[118].end 616.08659375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 616.69409375
transcript.pyannote[119].end 618.06096875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 618.93846875
transcript.pyannote[120].end 620.25471875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 621.36846875
transcript.pyannote[121].end 623.52846875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 623.76471875
transcript.pyannote[122].end 627.10596875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 627.15659375
transcript.pyannote[123].end 633.88971875
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 633.88971875
transcript.pyannote[124].end 636.50534375
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 636.70784375
transcript.pyannote[125].end 637.07909375
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 638.36159375
transcript.pyannote[126].end 639.20534375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 639.67784375
transcript.pyannote[127].end 640.67346875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 641.19659375
transcript.pyannote[128].end 644.25096875
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 641.28096875
transcript.pyannote[129].end 641.61846875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 644.06534375
transcript.pyannote[130].end 644.53784375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 644.53784375
transcript.pyannote[131].end 644.58846875
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 644.58846875
transcript.pyannote[132].end 644.80784375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 644.60534375
transcript.pyannote[133].end 644.79096875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 644.80784375
transcript.pyannote[134].end 644.95971875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 644.95971875
transcript.pyannote[135].end 649.34721875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 645.04409375
transcript.pyannote[136].end 645.12846875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 652.09784375
transcript.pyannote[137].end 654.57846875
transcript.whisperx[0].start 15.529
transcript.whisperx[0].end 34.301
transcript.whisperx[0].text 有請部長郭部長委員好來 部長您風災過後您到我高雄的重災區山區南馬俠桃園茂林走過嗎
transcript.whisperx[1].start 36.21
transcript.whisperx[1].end 61.581
transcript.whisperx[1].text 到目前还没有还没有但您跟我你没有到我高雄的重灾区那您到高雄这边可能问过全国老百姓大概印象最深刻的就是您跟我们中小企业组的座谈发声的邀请我们中小企业组投资这个美国4000亿的举例以云之后呢经济部呢花了两天的时间说明
transcript.whisperx[2].start 62.401
transcript.whisperx[2].end 88.707
transcript.whisperx[2].text 那我為什麼提到重災區呢我本席非常的不滿我看到您通篇的報告您說您去了嘉義去了台南這還是你們的訪視訪問團喔有到台北有到嘉義市這個台南嘉義就沒有到我高雄的重災區您知道高雄的重災區呀這三區發生了什麼事情呢來這個新聞
transcript.whisperx[3].start 92.353
transcript.whisperx[3].end 111.262
transcript.whisperx[3].text 颱風過後喝山泉水喝到沒命高雄風災山人懶類比取往這個類比取啊死亡率45%到75%所以說呢也就是說你對於山區重災區之後道路中斷水跟電完全沒有斷水斷電
transcript.whisperx[4].start 113.398
transcript.whisperx[4].end 138.661
transcript.whisperx[4].text 電你們從以前到現在都有講到電韌性花了將近4000到5000多億來做電網韌性所以到山區啊大概台電也都知道我趕快要布建這個微電網都已經有這個政策的預算而這將近5000億的電韌性是誰給的不是你不本不給的是行政院重視行政院給的錢那水韌性呢
transcript.whisperx[5].start 140.202
transcript.whisperx[5].end 155.185
transcript.whisperx[5].text 部長 這個我完全沒有看到經濟部部本部你水電的任性你是主責機關欸是經濟部對於水電任性你是規劃欸但你們沒有喔
transcript.whisperx[6].start 155.645
transcript.whisperx[6].end 182.504
transcript.whisperx[6].text 這不是台水跟台電的工作而且包括這個台水本身它最主要的工作是什麼它只做漏 它只做防漏然後呢 這個汰換水管那汰換水管的錢到現在它都得借錢你們喔 這了不起啦齁在王美花部長這邊啊 捐取了八十億分四年給一年二十億都不夠二十億放在我高雄都不夠
transcript.whisperx[7].start 183.993
transcript.whisperx[7].end 208.214
transcript.whisperx[7].text 所以呢在這個水韌性當中你看我們福倫社都還會趕快的去捐這個災區喔仿山鄉屏東兩部淨水器一部淨水器重達2到3公斤輕輕的而且也不用電大概花台幣10萬塊那他送兩部可以一部可以過濾20萬公升的飲用水
transcript.whisperx[8].start 210.512
transcript.whisperx[8].end 239.825
transcript.whisperx[8].text 我的水公司包括經濟部本部你們完全沒想到喔這是趕快用一個淨水器讓大家在這個趕快的只要任何的水下去就過濾了 也沒有裡面最基礎的淨水錠也沒有這個過膜酸鉀錠至少也給災區通通沒有所以部長你怎麼看這件事情報告委員 您所指摘的部分
transcript.whisperx[9].start 240.436
transcript.whisperx[9].end 252.162
transcript.whisperx[9].text 是我們水利署要跟地方政府共同去處理的事情不是只有我們自來水公司那水公司有所謂這個水韌性的這件事情在規劃嗎
transcript.whisperx[10].start 257.533
transcript.whisperx[10].end 284.264
transcript.whisperx[10].text 那我是不是請自來水公司跟你報告一下你讓水公司來回答我我政府的水韌性部長你有沒有搞錯啊一個電網的韌性都要5400億行政院院長當做當做這個政績在宣傳5400億的電網韌性你現在說一個水韌性所以要謙虛一點沒錯就沒想到就說沒想到這樣的危機你要重視
transcript.whisperx[11].start 285.524
transcript.whisperx[11].end 314.025
transcript.whisperx[11].text 部長你不認為水韌性這件事情你應該要一定要這是新的東西 就算你沒有 你說你感到抱歉那我覺得這個確實是這風災當中讓我們忽略了這樣的一個議題所以你要報部本部你讓一個水公司 水公司都不夠給我站在這邊 給我講水韌性水公司是誰來 你敢講水韌性的東西喔 那我就要問你囉來 來 水公司你要講嗎我不回答水公司 我最挺水公司了啦我覺得你們可憐啦
transcript.whisperx[12].start 315.373
transcript.whisperx[12].end 331.162
transcript.whisperx[12].text 哪有到現在執行政府的最主要的預算太舊換新的這個水管竟然還在用借錢部長不重視行政院根本也不知道我們的苦楚講任性吧 誰任性
transcript.whisperx[13].start 335.719
transcript.whisperx[13].end 351.641
transcript.whisperx[13].text 謝謝委員 委員對台水公司確實非常非常的協助也幫忙非常多那我想剛剛委員所指的部分這一次因為是一個颱風的部分我想我知道委員最主要是說當這些比較偏遠山區的部分的
transcript.whisperx[14].start 352.282
transcript.whisperx[14].end 375.279
transcript.whisperx[14].text 大宇跟高所的部分也希望台水这边也能尽量的赶快来看有没有一些过滤的一些快滤的过滤桶也许可能我们做的还不够那委员这样的指正我们未来会有如果想办法把这个移动的过滤桶赶快去来解决让民众当下能赶快解决至于这个供水的任性的部分我想经济部其实也积极在做做什么来你说
transcript.whisperx[15].start 376.059
transcript.whisperx[15].end 394.535
transcript.whisperx[15].text 我想我們當然就是一個開發水源跟一個水源的一個區域的調度的部分這個會來做那當然沒有錯大概總預算要多少那整個時候執行完電網韌性5400億的電網韌性5400億是有執行有執行業務也有清楚的執行期限的來您說看看
transcript.whisperx[16].start 395.856
transcript.whisperx[16].end 415.07
transcript.whisperx[16].text 委員當然是高度非常夠 這個整個供水的韌性確實是一個涵蓋非常廣我真的覺得你真的很有擔當你要來回答本席水熱性的東西 部長你放在後面至少水利署要來講話 水利署沒有來也不講話 部長你不講話 部長
transcript.whisperx[17].start 417.091
transcript.whisperx[17].end 443.983
transcript.whisperx[17].text 我真的覺得齁這個一個領導人從哪裡可以看出這個領導人的特質跟能力從危機當中看出一個領導人的危機跟能力如果本席點出的這種的韌性也是有平時的水韌性喔有平時時期的水韌性你怎麼做你在危機時候的水韌性怎麼做城鄉之泉的分布來副總那個您下去吧
transcript.whisperx[18].start 446.345
transcript.whisperx[18].end 474.431
transcript.whisperx[18].text 部長我再給你一個機會你認得水韌性要怎麼說 怎麼做呢有電網韌性 水韌性要怎麼說呢跟委員抱歉喔水的部分我不是專家所以我沒有辦法回應你的問題沒有辦法回應喔你要不要做什麼改進我們會 我回去會要求水利署一起來重視委員所指責的這個問題什麼時候提出這個水韌性的這樣的方案是什麼時候
transcript.whisperx[19].start 476.305
transcript.whisperx[19].end 503.067
transcript.whisperx[19].text 我們一個禮拜好了一個禮拜喔好你不要只聽那個副總副總我真的覺得你很棒你真的很有承擔但是我覺得你的成績不夠成平時後該有怎麼樣的包括你們太舊換新的水管這件事情都應該趕快的列入這個任性裡面甚至你的任性你的電網任性要不要解決你公司的債務讓你永續經營這都可以考慮喔
transcript.whisperx[20].start 504.728
transcript.whisperx[20].end 531.479
transcript.whisperx[20].text 包括你們對於高廢水 高耗水的部分你什麼開源跟節流嘛 這都是不是要納入 積極的去導入包括災後的時候的這個水韌性當中這部分不應該講的 一個禮拜做得出來 我覺得很奇怪然後這個東西是你要跟行政院來做來跟你的主計處 跟行政院院長這邊是要做溝通的
transcript.whisperx[21].start 532.917
transcript.whisperx[21].end 554.119
transcript.whisperx[21].text 部長我認為我再講一次危機的時候才可以看出一個領導人的一個特質跟能力是不是擔任是不是適合做決策者是不是適合來做我真認為您自己在這個內閣當中的角色其實你應該是要自己重新評估而不是變成
transcript.whisperx[22].start 555.66
transcript.whisperx[22].end 580.565
transcript.whisperx[22].text 是希望你不要再拉垮左內閣的整個的民調也最重要的是對於我們災民讓災民有感是一個有溫度有靠山的政府好以上謝謝謝謝謝謝委員好謝謝等一下那個蕭副總那個一個禮拜是只有那個高雄還是全台灣的評估只有高雄是不是
transcript.whisperx[23].start 584.827
transcript.whisperx[23].end 608.309
transcript.whisperx[23].text 我非常感謝主席延續我的議題 這樣的程序問題主席我是不是請你裁示 我覺得一個禮拜做不出來因為是包括整個全台灣的水韌性 比照台電韌性的問題所以請主席是不是 我認為我願意給他多一點時間至少三個禮拜到一個月 一個禮拜是不可能做出來連彰化等等 他是要去做盤點
transcript.whisperx[24].start 610.325
transcript.whisperx[24].end 639.084
transcript.whisperx[24].text 这个不是只有针对灾区也是整个做盘点林委员你要求的是全台湾的水韧性的计划而不是高雄的水韧性计划那请经济部回去再评估再提出相关全台湾的水韧性的计划那是不是我请主席是不是参考一下一个月内提出来全台的水韧性的这个方案那郭部长是不是能够一个月内全台湾的
transcript.whisperx[25].start 641.325
transcript.whisperx[25].end 643.506
transcript.whisperx[25].text 好那就一個月提出全臺灣的水韌性的相關計畫現在請陳廷飛委員做詢問