iVOD / 160069

Field Value
IVOD_ID 160069
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160069
日期 2025-04-10
會議資料.會議代碼 委員會-11-3-22-6
會議資料.會議代碼:str 第11屆第3會期教育及文化委員會第6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 6
會議資料.種類 委員會
會議資料.委員會代碼[0] 22
會議資料.委員會代碼:str[0] 教育及文化委員會
會議資料.標題 第11屆第3會期教育及文化委員會第6次全體委員會議
影片種類 Clip
開始時間 2025-04-10T10:34:50+08:00
結束時間 2025-04-10T10:43:53+08:00
影片長度 00:09:03
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/127fafa562dc9712e5739b766a414ec1f179c558939ff98972c2a43b2ce79c5077c192756c22988b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 葉元之
委員發言時間 10:34:50 - 10:43:53
會議時間 2025-04-10T09:00:00+08:00
會議名稱 立法院第11屆第3會期教育及文化委員會第6次全體委員會議(事由:邀請中央研究院院長廖俊智列席報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 0.60471875
transcript.pyannote[0].end 3.37221875
transcript.pyannote[1].speaker SPEAKER_06
transcript.pyannote[1].start 4.33409375
transcript.pyannote[1].end 5.73471875
transcript.pyannote[2].speaker SPEAKER_06
transcript.pyannote[2].start 6.61221875
transcript.pyannote[2].end 7.18596875
transcript.pyannote[3].speaker SPEAKER_06
transcript.pyannote[3].start 8.95784375
transcript.pyannote[3].end 9.90284375
transcript.pyannote[4].speaker SPEAKER_06
transcript.pyannote[4].start 10.64534375
transcript.pyannote[4].end 11.52284375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 14.27346875
transcript.pyannote[5].end 14.29034375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 14.29034375
transcript.pyannote[6].end 14.45909375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 14.79659375
transcript.pyannote[7].end 19.65659375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 14.86409375
transcript.pyannote[8].end 15.79221875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 20.66909375
transcript.pyannote[9].end 30.50721875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 31.09784375
transcript.pyannote[10].end 37.59471875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 37.96596875
transcript.pyannote[11].end 46.26846875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 46.99409375
transcript.pyannote[12].end 49.03596875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 49.03596875
transcript.pyannote[13].end 50.14971875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 50.14971875
transcript.pyannote[14].end 50.23409375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 50.23409375
transcript.pyannote[15].end 55.71846875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 56.07284375
transcript.pyannote[16].end 56.93346875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 57.67596875
transcript.pyannote[17].end 61.11846875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 61.48971875
transcript.pyannote[18].end 62.45159375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 63.09284375
transcript.pyannote[19].end 63.54846875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 63.97034375
transcript.pyannote[20].end 67.37909375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 67.51409375
transcript.pyannote[21].end 78.09471875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 77.25096875
transcript.pyannote[22].end 78.83721875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 79.30971875
transcript.pyannote[23].end 81.94221875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 82.29659375
transcript.pyannote[24].end 82.31346875
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 82.31346875
transcript.pyannote[25].end 82.98846875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 83.08971875
transcript.pyannote[26].end 85.13159375
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 86.04284375
transcript.pyannote[27].end 88.33784375
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 88.70909375
transcript.pyannote[28].end 88.74284375
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 88.74284375
transcript.pyannote[29].end 90.05909375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 88.77659375
transcript.pyannote[30].end 89.26596875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 89.83971875
transcript.pyannote[31].end 95.54346875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 96.18471875
transcript.pyannote[32].end 96.79221875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 97.16346875
transcript.pyannote[33].end 107.37284375
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 107.55846875
transcript.pyannote[34].end 109.00971875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 109.63409375
transcript.pyannote[35].end 135.18284375
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 135.85784375
transcript.pyannote[36].end 140.61659375
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 140.97096875
transcript.pyannote[37].end 161.01846875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 141.00471875
transcript.pyannote[38].end 141.94971875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 151.55159375
transcript.pyannote[39].end 153.57659375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 154.96034375
transcript.pyannote[40].end 155.38221875
transcript.pyannote[41].speaker SPEAKER_05
transcript.pyannote[41].start 161.44034375
transcript.pyannote[41].end 161.76096875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 161.76096875
transcript.pyannote[42].end 164.52846875
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 164.73096875
transcript.pyannote[43].end 171.39659375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 171.93659375
transcript.pyannote[44].end 178.12971875
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 177.43784375
transcript.pyannote[45].end 188.84534375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 188.91284375
transcript.pyannote[46].end 189.84096875
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 189.84096875
transcript.pyannote[47].end 201.33284375
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 201.99096875
transcript.pyannote[48].end 208.94346875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 209.17971875
transcript.pyannote[49].end 210.61409375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 211.22159375
transcript.pyannote[50].end 214.79909375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 215.27159375
transcript.pyannote[51].end 219.28784375
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 217.65096875
transcript.pyannote[52].end 226.86471875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 222.17346875
transcript.pyannote[53].end 222.62909375
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 227.03346875
transcript.pyannote[54].end 233.51346875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 227.10096875
transcript.pyannote[55].end 227.57346875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 233.51346875
transcript.pyannote[56].end 234.07034375
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 234.07034375
transcript.pyannote[57].end 236.09534375
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 235.45409375
transcript.pyannote[58].end 251.29971875
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 251.80596875
transcript.pyannote[59].end 258.10034375
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 258.70784375
transcript.pyannote[60].end 266.18346875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 266.79096875
transcript.pyannote[61].end 267.80346875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 268.17471875
transcript.pyannote[62].end 269.84534375
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 270.26721875
transcript.pyannote[63].end 271.00971875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 271.48221875
transcript.pyannote[64].end 271.95471875
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 272.27534375
transcript.pyannote[65].end 276.08909375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 275.59971875
transcript.pyannote[66].end 282.45096875
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 282.72096875
transcript.pyannote[67].end 283.17659375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 282.90659375
transcript.pyannote[68].end 285.48846875
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 285.48846875
transcript.pyannote[69].end 287.81721875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 287.00721875
transcript.pyannote[70].end 289.42034375
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 289.96034375
transcript.pyannote[71].end 293.40284375
transcript.pyannote[72].speaker SPEAKER_04
transcript.pyannote[72].start 294.09471875
transcript.pyannote[72].end 295.73159375
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 295.93409375
transcript.pyannote[73].end 296.71034375
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 296.91284375
transcript.pyannote[74].end 296.96346875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 296.96346875
transcript.pyannote[75].end 296.98034375
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 296.98034375
transcript.pyannote[76].end 297.03096875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 297.03096875
transcript.pyannote[77].end 303.84846875
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 297.09846875
transcript.pyannote[78].end 297.72284375
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 298.85346875
transcript.pyannote[79].end 299.34284375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 304.01721875
transcript.pyannote[80].end 333.02534375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 333.51471875
transcript.pyannote[81].end 335.96159375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 335.96159375
transcript.pyannote[82].end 348.85409375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 337.42971875
transcript.pyannote[83].end 337.51409375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 348.95534375
transcript.pyannote[84].end 354.18659375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 354.32159375
transcript.pyannote[85].end 359.50221875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 359.90721875
transcript.pyannote[86].end 362.99534375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 363.55221875
transcript.pyannote[87].end 365.84721875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 364.37909375
transcript.pyannote[88].end 364.88534375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 365.84721875
transcript.pyannote[89].end 375.34784375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 366.96096875
transcript.pyannote[90].end 367.34909375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 369.88034375
transcript.pyannote[91].end 370.50471875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 375.34784375
transcript.pyannote[92].end 377.13659375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 377.49096875
transcript.pyannote[93].end 402.56721875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 403.02284375
transcript.pyannote[94].end 414.83534375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 414.98721875
transcript.pyannote[95].end 419.49284375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 419.59409375
transcript.pyannote[96].end 421.16346875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 422.15909375
transcript.pyannote[97].end 428.85846875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 430.17471875
transcript.pyannote[98].end 436.35096875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 437.14409375
transcript.pyannote[99].end 440.14784375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 441.24471875
transcript.pyannote[100].end 446.94846875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 447.48846875
transcript.pyannote[101].end 453.66471875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 453.66471875
transcript.pyannote[102].end 456.63471875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 458.62596875
transcript.pyannote[103].end 499.59846875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 499.59846875
transcript.pyannote[104].end 500.30721875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 501.21846875
transcript.pyannote[105].end 503.73284375
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 504.08721875
transcript.pyannote[106].end 518.26221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 508.86284375
transcript.pyannote[107].end 509.23409375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 518.26221875
transcript.pyannote[108].end 520.38846875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 518.65034375
transcript.pyannote[109].end 519.10596875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 520.38846875
transcript.pyannote[110].end 521.09721875
transcript.pyannote[111].speaker SPEAKER_06
transcript.pyannote[111].start 525.29909375
transcript.pyannote[111].end 530.71596875
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 539.37284375
transcript.pyannote[112].end 542.25846875
transcript.whisperx[0].start 1.009
transcript.whisperx[0].end 11.274
transcript.whisperx[0].text 黃興坤副院長經濟所的所長好請廖院長跟副院長還有所長院長副院長還有所長好因為我們
transcript.whisperx[1].start 20.928
transcript.whisperx[1].end 45.896
transcript.whisperx[1].text 中研院有發布一個2025年的台灣經濟情勢總展望其實這段時間最近幾天大家對於經濟是最關心的那中研院又是我們應該算是我們研究的最高能量的機關所以當然很想要來了解一下我們政府或經濟部到底有沒有就這一波川普關稅所對台灣的影響來跟中研院請教我不知道院長有嗎
transcript.whisperx[2].start 47.174
transcript.whisperx[2].end 56.314
transcript.whisperx[2].text 中央院這方面是有相當多的實例我知道那個現在因為我們現在政府推出了很多政策嘛那事先有沒有來跟比如說
transcript.whisperx[3].start 57.911
transcript.whisperx[3].end 84.738
transcript.whisperx[3].text 中研院這邊不管是經濟所所長啊或者是彭新坤副院長這邊來請教說我們應該怎麼因應這一波經濟危機有嗎我想這個只要是政府單位來跟中研院的個別研究同仁來這個進行磋商的話不會經過院方所以我不會知道那有沒有跟那個副院長來問一下你的意見目前沒有沒有是不是那有沒有跟經濟所所長
transcript.whisperx[4].start 86.367
transcript.whisperx[4].end 94.995
transcript.whisperx[4].text 張俊仁所長來詢問目前我也沒有也都沒有是不是好那這樣子我就來請教一下利用這個機會來跟大家請教一下第一個
transcript.whisperx[5].start 97.6
transcript.whisperx[5].end 123.889
transcript.whisperx[5].text 本來這份報告裡面它這是去年12月出刊的當時對於我們的GDP的年增率的預估值是3.1%那我想請問一下副院長現在因為我也看過您最近發表的文章去年11月到今年去年11月有去做演講那今年1月也有演講實際上你都有提到川普當選之後有一個很不確定性好像您也有提到
transcript.whisperx[6].start 124.429
transcript.whisperx[6].end 129.637
transcript.whisperx[6].text 那現在已經很明確了他本來是要關稅是要加到32%但是現在暫緩90天先10%那你的預估對於我們現在那個GDP的影響是怎麼樣
transcript.whisperx[7].start 136.202
transcript.whisperx[7].end 157.419
transcript.whisperx[7].text 非常感謝葉委員有注意到我的那個演講不過目前非常非常難預料我想我現在是瞬息萬變那我會覺得去年的預測3.1是不可能達到不可能嘛所以你覺得會下修多少一定會下修那至於會下修多少我要觀察這個未來這個幾個月的時間
transcript.whisperx[8].start 163.224
transcript.whisperx[8].end 170.792
transcript.whisperx[8].text 謝謝那我再請問一下副院長因為現在總統的講法是說要用零關稅的這個基礎去跟美國談判
transcript.whisperx[9].start 172.008
transcript.whisperx[9].end 200.797
transcript.whisperx[9].text 那他的想法是這樣那請問一下您支持這樣零關稅去談這樣的一個做法嗎報告葉委員這個零關稅不是關鍵因為我們的法定關稅非常低了已經不到2%現在問題的關鍵是在非關稅貿易障礙對 有哪些包括像這個進口的配額包括檢疫包括像我們的基因的食品這些我們政府的規定都被美國在挑剔
transcript.whisperx[10].start 202.097
transcript.whisperx[10].end 225.772
transcript.whisperx[10].text 甚至是我們的外匯市場的人為干預這個在美國的報告裡面都有提出來所以你的意思是說總統講的零關稅因為他今天才投書外媒你就覺得他講的不是重點重點應該是你剛剛講的那些零關稅其實對我們大部分的產品已經很低了只有少數像汽車有點偏高還是17.5
transcript.whisperx[11].start 227.193
transcript.whisperx[11].end 250.629
transcript.whisperx[11].text 像保健食品30%有點偏高那是大部分的進口產品都非常非常低關鍵是在所以我們拿零關稅去跟他談他應該是不會買單啦應該是副院長剛剛講的那些貿易非貿易障礙嘛要去把它消除之後美國可能才會給我們降低關稅你的意思是這樣喔對那我希望說你可以跟總統建議一下
transcript.whisperx[12].start 252.134
transcript.whisperx[12].end 271.668
transcript.whisperx[12].text 那再來就是我們看這個GDP一定會下修嘛那我們看下一頁這個是也是經濟所前一年12月公佈的CPI物價指數是2.02那請問一下問一下所長好了你覺得我們的CPI會增加增加
transcript.whisperx[13].start 273.301
transcript.whisperx[13].end 291.61
transcript.whisperx[13].text 我們的CPI事實上這個是因為這是去年12月的預估啦那因為當時大家也不知道說川普會提高關稅到32%嘛那經濟所會重新預估一下嗎會的那你覺得應該他的走勢會怎麼樣主要的問題還是在這個
transcript.whisperx[14].start 294.481
transcript.whisperx[14].end 315.695
transcript.whisperx[14].text 水電的價格我是說關稅的影響因為川普的關稅政策會不會影響到我們國內的物價我是經濟所負責的梁淑君我想從關稅角度來看的話如果我們出口會下降的話而且因為對這個出口衰退的預期會導致資本外流
transcript.whisperx[15].start 316.455
transcript.whisperx[15].end 332.788
transcript.whisperx[15].text 這兩個因素都會有對我們新台幣貶值造成壓力那如果是這樣從這個角度來看的話確實會造成輸入性通膨那在這個基礎上原本物價的壓力就挺高的那有可能會讓物價有更上升的壓力
transcript.whisperx[16].start 333.75
transcript.whisperx[16].end 348.616
transcript.whisperx[16].text 那現在有辦法預估嗎?還是不確定?我們現在因為就是這個關稅的幅度還不確定然後執行的長度也不確定我們修正的方向應該是會還是維持在二以上但是具體幅度現在還需要觀察
transcript.whisperx[17].start 349.276
transcript.whisperx[17].end 375.843
transcript.whisperx[17].text 還有觀察 謝謝接下來再問一下匯率這是也是經濟所的預測也是去年12月公佈的是預測說美元匯率大概是32.51那是不是也來預測一下因為川普這個關稅政策就我剛才提到的兩個因素都是會讓匯率有貶值的壓力所以原來的預測應該是有一點高估了有點高估
transcript.whisperx[18].start 377.648
transcript.whisperx[18].end 402.275
transcript.whisperx[18].text 我特別來問這些問題就是要說因為我們看我們不管是所長副所長副院長當然院長是統領所有中研院大家其實對經濟都很了解而且也都非常關心所以如果中研院可以主動出席雖然我們現在剛剛問起來好像行政院或經貿辦公室並沒有來問你們意見開會沒有找你們但我覺得如果中研院既然我們有這麼豐沛的研究能量
transcript.whisperx[19].start 403.095
transcript.whisperx[19].end 428.519
transcript.whisperx[19].text 主動出擊第一位政府給他們正確的方向這可以幫助台灣度過經濟危機那接下來再來我們來看一下這是前一段時間引起了一個風波那個經濟所還有那個副院長可以請回這應該是國建所這個一個生物醫學科技科學研究所之前一個風波就是有民眾反映
transcript.whisperx[20].start 430.216
transcript.whisperx[20].end 453.221
transcript.whisperx[20].text 忽然間有中研院的人找他們說要抽血檢查而且指定小朋友所以大家非常的害怕那這個當時是公文公文是這個我想請問一下為什麼會發生這樣的事情因為任何的現在家長對於小朋友都很寶貝忽然有人上門指定說要抽小朋友的血大家都會非常害怕這個事情為什麼會這樣我想這是個誤會我們請那個所長來解釋
transcript.whisperx[21].start 458.646
transcript.whisperx[21].end 461.509
transcript.whisperx[21].text 委員好 我是生意所所長陳盈莊很簡短的跟您報告一下這是一個國建署的委託計畫基本上是針對全台灣的民眾來做調查所以沒有集中在小朋友上面那基本上它有一個很特別的抽樣式全台灣會抽出八十個里八十個里每一個里還會再抽出十個家庭
transcript.whisperx[22].start 479.205
transcript.whisperx[22].end 484.129
transcript.whisperx[22].text 那他們在做家訪的時候呢會先寫一封信問說願不願意受訪然後呢當時訪問的時候也會把信帶去如果他們不願意受訪那這個事情就會結束如果會訪問的話也會在當時在安排下面訪問的時間所以實際上這個可能是一個誤會這是一個誤會
transcript.whisperx[23].start 501.757
transcript.whisperx[23].end 520.908
transcript.whisperx[23].text 但當時媒體人爆了蠻大的因為那既然有誤會我覺得中研院我們都相信中研院不會作亂七八糟事情啦可是如果說是有誤會造成人家心情恐慌可能要思考一下那個流程是不是在哪個地方有疏失啦我覺得大家可能再思考一下是 我們有檢查SOP 謝謝OK 謝謝好 謝謝葉元之委員院長請回讓我們休息五分鐘
transcript.whisperx[24].start 533.376
transcript.whisperx[24].end 534.438
transcript.whisperx[24].text 有發言的感覺