iVOD / 165072

Field Value
IVOD_ID 165072
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165072
日期 2025-11-05
會議資料.會議代碼 委員會-11-4-35-12
會議資料.會議代碼:str 第11屆第4會期外交及國防委員會第12次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 12
會議資料.種類 委員會
會議資料.委員會代碼[0] 35
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.標題 第11屆第4會期外交及國防委員會第12次全體委員會議
影片種類 Clip
開始時間 2025-11-05T11:26:55+08:00
結束時間 2025-11-05T11:36:15+08:00
影片長度 00:09:20
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0bb7d6ea348ff1d2876785adae7d11b4575289a78f60fae5372a46263f60850410110eaefe7530705ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王鴻薇
委員發言時間 11:26:55 - 11:36:15
會議時間 2025-11-05T09:00:00+08:00
會議名稱 立法院第11屆第4會期外交及國防委員會第12次全體委員會議(事由:邀請外交部部長、國家安全局局長、經濟部次長、大陸委員會副主任委員、行政院經貿談判辦公室副總談判代表報告「川普亞洲行及『川習會』後印太區域經濟、安全情勢對我之影響」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 1.70159375
transcript.pyannote[0].end 4.31721875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 4.36784375
transcript.pyannote[1].end 6.15659375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 10.66221875
transcript.pyannote[2].end 12.55221875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 11.67471875
transcript.pyannote[3].end 12.16409375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 13.85159375
transcript.pyannote[4].end 14.25659375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 14.10471875
transcript.pyannote[5].end 14.64471875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 14.61096875
transcript.pyannote[6].end 16.70346875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 15.25221875
transcript.pyannote[7].end 17.68221875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 17.09159375
transcript.pyannote[8].end 19.48784375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 20.92221875
transcript.pyannote[9].end 21.76596875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 20.95596875
transcript.pyannote[10].end 25.15784375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 23.75721875
transcript.pyannote[11].end 24.65159375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 25.12409375
transcript.pyannote[12].end 27.21659375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 27.65534375
transcript.pyannote[13].end 28.48221875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 28.48221875
transcript.pyannote[14].end 31.82346875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 32.46471875
transcript.pyannote[15].end 36.93659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 37.37534375
transcript.pyannote[16].end 48.29346875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 48.61409375
transcript.pyannote[17].end 50.08221875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 51.17909375
transcript.pyannote[18].end 72.55971875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 67.69971875
transcript.pyannote[19].end 69.38721875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 71.17596875
transcript.pyannote[20].end 73.47096875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 73.47096875
transcript.pyannote[21].end 79.66409375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 79.74846875
transcript.pyannote[22].end 97.85534375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 83.25846875
transcript.pyannote[23].end 84.77721875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 97.43346875
transcript.pyannote[24].end 108.30096875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 107.45721875
transcript.pyannote[25].end 109.00971875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 109.00971875
transcript.pyannote[26].end 114.37596875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 109.43159375
transcript.pyannote[27].end 111.38909375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 113.58284375
transcript.pyannote[28].end 116.58659375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 116.95784375
transcript.pyannote[29].end 130.35659375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 130.44096875
transcript.pyannote[30].end 136.95471875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 137.14034375
transcript.pyannote[31].end 138.89534375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 138.97971875
transcript.pyannote[32].end 139.68846875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 139.92471875
transcript.pyannote[33].end 141.62909375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 143.24909375
transcript.pyannote[34].end 143.68784375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 144.34596875
transcript.pyannote[35].end 146.37096875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 147.16409375
transcript.pyannote[36].end 151.82159375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 151.97346875
transcript.pyannote[37].end 152.00721875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 152.09159375
transcript.pyannote[38].end 158.41971875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 156.85034375
transcript.pyannote[39].end 160.63034375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 160.63034375
transcript.pyannote[40].end 162.97596875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 162.19971875
transcript.pyannote[41].end 165.38909375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 164.95034375
transcript.pyannote[42].end 166.19909375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 166.48596875
transcript.pyannote[43].end 167.09346875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 167.49846875
transcript.pyannote[44].end 180.12096875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 180.50909375
transcript.pyannote[45].end 189.38534375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 189.46971875
transcript.pyannote[46].end 191.30909375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 191.37659375
transcript.pyannote[47].end 194.73471875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 195.39284375
transcript.pyannote[48].end 204.06659375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 205.04534375
transcript.pyannote[49].end 206.44596875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 207.44159375
transcript.pyannote[50].end 212.82471875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 214.20846875
transcript.pyannote[51].end 220.75596875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 221.16096875
transcript.pyannote[52].end 223.03409375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 223.91159375
transcript.pyannote[53].end 225.54846875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 226.94909375
transcript.pyannote[54].end 229.14284375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 229.68284375
transcript.pyannote[55].end 232.26471875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 233.91846875
transcript.pyannote[56].end 237.12471875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 237.93471875
transcript.pyannote[57].end 240.12846875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 240.87096875
transcript.pyannote[58].end 245.32596875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 245.81534375
transcript.pyannote[59].end 247.85721875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 248.41409375
transcript.pyannote[60].end 253.79721875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 254.15159375
transcript.pyannote[61].end 255.95721875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 257.05409375
transcript.pyannote[62].end 260.64846875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 261.44159375
transcript.pyannote[63].end 265.76159375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 266.20034375
transcript.pyannote[64].end 269.89596875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 271.09409375
transcript.pyannote[65].end 273.72659375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 273.97971875
transcript.pyannote[66].end 276.22409375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 277.30409375
transcript.pyannote[67].end 277.89471875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 278.21534375
transcript.pyannote[68].end 279.10971875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 279.81846875
transcript.pyannote[69].end 282.18096875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 282.63659375
transcript.pyannote[70].end 286.46721875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 286.75409375
transcript.pyannote[71].end 289.50471875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 290.31471875
transcript.pyannote[72].end 293.65596875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 293.99346875
transcript.pyannote[73].end 300.76034375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 300.99659375
transcript.pyannote[74].end 314.00721875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 314.69909375
transcript.pyannote[75].end 316.26846875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 316.85909375
transcript.pyannote[76].end 317.31471875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 318.00659375
transcript.pyannote[77].end 323.81159375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 324.23346875
transcript.pyannote[78].end 325.48221875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 326.25846875
transcript.pyannote[79].end 328.21596875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 328.21596875
transcript.pyannote[80].end 328.43534375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 328.30034375
transcript.pyannote[81].end 330.03846875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 330.47721875
transcript.pyannote[82].end 331.28721875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 332.11409375
transcript.pyannote[83].end 334.39221875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 334.62846875
transcript.pyannote[84].end 337.00784375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 337.39596875
transcript.pyannote[85].end 338.89784375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 339.30284375
transcript.pyannote[86].end 343.25159375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 343.87596875
transcript.pyannote[87].end 345.25971875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 345.76596875
transcript.pyannote[88].end 362.45534375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 362.70846875
transcript.pyannote[89].end 364.73346875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 365.89784375
transcript.pyannote[90].end 366.35346875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 366.48846875
transcript.pyannote[91].end 367.61909375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 367.65284375
transcript.pyannote[92].end 367.66971875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 367.66971875
transcript.pyannote[93].end 372.59721875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 370.84221875
transcript.pyannote[94].end 385.10159375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 385.82721875
transcript.pyannote[95].end 398.11221875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 398.44971875
transcript.pyannote[96].end 403.66409375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 404.35596875
transcript.pyannote[97].end 417.07971875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 417.18096875
transcript.pyannote[98].end 430.88346875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 430.22534375
transcript.pyannote[99].end 437.68409375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 437.85284375
transcript.pyannote[100].end 441.93659375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 441.95346875
transcript.pyannote[101].end 452.21346875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 451.48784375
transcript.pyannote[102].end 454.66034375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 453.39471875
transcript.pyannote[103].end 453.88409375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 454.32284375
transcript.pyannote[104].end 454.81221875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 454.81221875
transcript.pyannote[105].end 473.61096875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 472.44659375
transcript.pyannote[106].end 475.55159375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 474.80909375
transcript.pyannote[107].end 477.37409375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 477.52596875
transcript.pyannote[108].end 500.50971875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 483.31409375
transcript.pyannote[109].end 483.68534375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 500.98221875
transcript.pyannote[110].end 514.95471875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 515.54534375
transcript.pyannote[111].end 519.79784375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 519.83159375
transcript.pyannote[112].end 523.84784375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 523.89846875
transcript.pyannote[113].end 530.26034375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 530.69909375
transcript.pyannote[114].end 539.87909375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 540.06471875
transcript.pyannote[115].end 549.76784375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 547.40534375
transcript.pyannote[116].end 555.04971875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 553.58159375
transcript.pyannote[117].end 557.63159375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 556.39971875
transcript.pyannote[118].end 559.72409375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 557.78346875
transcript.pyannote[119].end 558.54284375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 559.77471875
transcript.pyannote[120].end 560.24721875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 560.29784375
transcript.pyannote[121].end 561.12471875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 560.71971875
transcript.pyannote[122].end 561.68159375
transcript.whisperx[0].start 1.752
transcript.whisperx[0].end 5.935
transcript.whisperx[0].text 好 謝謝主席 請下林佳龍部長請部長就備懸抬部長 你是戰龍嗎我是 佳龍如果按照文字應該是好龍啦戰貓 戰龍
transcript.whisperx[1].start 20.99
transcript.whisperx[1].end 26.692
transcript.whisperx[1].text 我是林佳龍 就是顧名思義 要耐心一點你是溫柔的龍就佳龍我看你現在已經轉化成戰龍了剛才葉元之委員特別提到CNN報導那個報導你竟然跟他講說 這樣是一個認知作戰那他說 欸 這不是CNN報導啊這不是台灣的媒體報導啊你說這就是一個認知作戰好歹CNN是
transcript.whisperx[2].start 51.226
transcript.whisperx[2].end 64.14
transcript.whisperx[2].text 美國的一個主流媒體雖然川普跟CNN的關係非常差他告這個CNN但是你作為一個外交部長在立法院接受質詢針對這個事情直接指涉CNN是認知作戰就這一個報導本身我覺得這就是CNN報導啊我們希望他更正
transcript.whisperx[3].start 73.51
transcript.whisperx[3].end 86.574
transcript.whisperx[3].text CNN過去你可以去要求他更正但是你說他是配合認知作戰這就不妥啊這是不是失言請問一下部長是不是失言CNN過去對台來講也算是友好的啊那媒體容或有一些報導你認為報導的失誤或者相關的評論但是你把CNN現在歸類為說他配合認知作戰
transcript.whisperx[4].start 98.258
transcript.whisperx[4].end 111.749
transcript.whisperx[4].text 這個報導本身是一個認知錯占的一部分他是不是不小心或者是怎麼樣因為他可以很輕易的查證那也許有疏失但是就整個他配合什麼認知錯占我想我的不是說是哪一個媒體認知錯占是說這背後有一個勢力啊你在這裡就是嚴重的失言啊其實啊 老師說啊不是啊 我覺得你腦筋很不清楚你剛剛還很得意洋洋說策劃
transcript.whisperx[5].start 122.958
transcript.whisperx[5].end 125.259
transcript.whisperx[5].text 去歐洲訪問非常好你到智庫歐洲的智庫去演講也非常好結果被外媒披露說我們另外一個團去訪問了北約總部那剛才媒體也有問你 請問一下外媒報導是事實嗎
transcript.whisperx[6].start 143.271
transcript.whisperx[6].end 157.522
transcript.whisperx[6].text 哪一點我們在歐洲的訪問團裡面其中有一團到北約總部訪問因為這前後很多團那我們在做戰略溝通也有一團譬如說我在波蘭所以確實有到北約總部訪問嗎我們不予證實也不予否認所以也就是默認就不予評論部長
transcript.whisperx[7].start 167.549
transcript.whisperx[7].end 171.33
transcript.whisperx[7].text 我要講說你說對歐洲的關係很重要我們完全同意啊所以我剛才說我們去歐洲訪問外交部長去演講或者我們拓展跟歐洲各國的這個相關的關係對外關係或者經貿合作採購投資相互的往來都非常好但是我想請問一下台海之間難道還不夠危險嗎
transcript.whisperx[8].start 195.996
transcript.whisperx[8].end 203.861
transcript.whisperx[8].text 世界各國的媒體都報導台灣台海是現在全世界非常危險的地方北約是什麼組織啊北約是經貿組織嗎他是單純的他的那個組織是軍事同盟是對抗俄羅斯的軍事同盟
transcript.whisperx[9].start 214.244
transcript.whisperx[9].end 225.352
transcript.whisperx[9].text 我想請問一下 我們已經有一個這麼強大的中國的軍事威脅我請問你 你今天要去得罪俄羅斯幹什麼北約組織是一個軍事同盟台灣有能力去跟北約軍事同盟嗎
transcript.whisperx[10].start 233.953
transcript.whisperx[10].end 239.936
transcript.whisperx[10].text 我們需要一連串去得罪這些核武大國嗎所以我覺得你們腦筋真的不清楚發展外交發展經貿合作我們舉雙手贊成不要去搞那種軍事對抗台灣沒有這種條件去跟人家核武大國去搞軍事對抗你是要透露什麼樣的訊息
transcript.whisperx[11].start 257.113
transcript.whisperx[11].end 269.446
transcript.whisperx[11].text 你是要透露什麼樣的訊息你覺得台灣的軍事威脅還不夠嗎所以我真的覺得這種都是腦筋不清楚好大喜功然後以為我們現在要提高國防支出3%不夠 5% 10%俄羅斯也來跟我們對抗好嗎
transcript.whisperx[12].start 277.352
transcript.whisperx[12].end 293.147
transcript.whisperx[12].text 另外請教一下因為這次川習會結束之後因為他們又透露一個訊息川普明年4月要到這個中國訪問那我想請問一下因為之前
transcript.whisperx[13].start 294.228
transcript.whisperx[13].end 315.983
transcript.whisperx[13].text 我們賴總統一直希望能夠藉由出訪的機會過境美國東岸但是呢一直的說法是因為會與川習會的關係所以美國有一些疑慮所以我們沒有辦法過境這個美國東岸那我想請問一下部長
transcript.whisperx[14].start 318.055
transcript.whisperx[14].end 342.93
transcript.whisperx[14].text 川習會之後 雖然終於川習會了可是他現在又來一個卡一個川習 就是川普要到美國訪問 中國 對不起 到中國訪問那所以我們在這半年之間我們有可能突破讓賴總統能夠過境美國出訪我們的友邦嗎我講的是東南
transcript.whisperx[15].start 346.022
transcript.whisperx[15].end 362.375
transcript.whisperx[15].text 報告委員 元首出訪都是我們外交部的重要政務我們也都會持續在評估規劃至於說決定以及對外的說明由總統府他們目前我們沒有什麼訊息可以提供所以繼續規劃中
transcript.whisperx[16].start 366.531
transcript.whisperx[16].end 368.493
transcript.whisperx[16].text 繼續規劃中當然我們一定會評估嘛因為這個我請問部長因為有川習會的關係所以使得外界都認為說因為當時蔡英文總統非常快速的就過境美國出訪邦交國那麼
transcript.whisperx[17].start 385.871
transcript.whisperx[17].end 387.693
transcript.whisperx[17].text 那麼現在專行會結束之後以現在的情勢你認為在短期內你可以成功的去規劃你剛剛不講你都策劃嗎那你可以策劃或者規劃然後我們賴總統可以過境美國出訪嗎
transcript.whisperx[18].start 404.957
transcript.whisperx[18].end 416.482
transcript.whisperx[18].text 元首出訪是外交部重要的政務我們會持續的推動至於說如果有具體的決定或者是相關的安排那會由總統府對外來說明
transcript.whisperx[19].start 417.23
transcript.whisperx[19].end 421.552
transcript.whisperx[19].text 好 那另外請問一下川習會後你覺得台美關係是變得更好還是可能會有所受影響或變得更壞一點你的評估 我跟委員報告其實我在這裡備詢我就在講台美關係要有信心
transcript.whisperx[20].start 434.859
transcript.whisperx[20].end 449.371
transcript.whisperx[20].text 我們對於像川習會這些APEC開會我們是要關心但不必過度擔心那現在事後也證明我想很多過去的一些不確定性甚至有一些大家很擔心的地方已經現在很清楚因為沒有談到台灣大家鬆一口氣
transcript.whisperx[21].start 454.895
transcript.whisperx[21].end 459.758
transcript.whisperx[21].text 不過因為不曉得啦就說我剛剛講說明年四月出訪行程搞不好又會申辯這也說不一定啦那只是說你未來這個川普又出訪的行程那麼可能未來半年我們可能還是處於一個不確定因素比較多的那我想請問一下國際情勢永遠有它不確定的地方對 沒有錯我想請問一下喔在川習會之後因為呢中美兩國的防長也見面了是
transcript.whisperx[22].start 483.815
transcript.whisperx[22].end 486.037
transcript.whisperx[22].text 我覺得這個對於消除台海之間的一些這個危機其實我認為有利不要有做誤判但是呢美國其實先是叫戰爭部他的戰爭部部長赫格賽斯他發文說他
transcript.whisperx[23].start 501.073
transcript.whisperx[23].end 506.694
transcript.whisperx[23].text 認為美中關係現在是前所未有的良好那我想請問一下在這樣的一個敘述之下你認為會不會影響到台美關係台灣是不是會受影響報告委員美中關係美台關係可以是平行的所以我們也不認為說美中關係不好就對台灣好那美中關係如果好也可能可以對台灣好那取決於我們台灣跟美國的關係怎麼加強
transcript.whisperx[24].start 530.785
transcript.whisperx[24].end 539.525
transcript.whisperx[24].text 所以你至少到目前為止你不認為川習會之後或者是赫格塞茲他的發文之後那麼台美關係有受到任何影響
transcript.whisperx[25].start 540.317
transcript.whisperx[25].end 554.846
transcript.whisperx[25].text 對 我跟委員報告 至少沒有意外另外我們更確定了 包括他們的談話不斷跟我們溝通的也都如原來溝通的內容這樣子發展請問一下 在川習會之後美國有跟我們報告相關的所有我們都有這樣的管道所有的資訊都有掌握有好 謝謝