iVOD / 164260

Field Value
IVOD_ID 164260
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164260
日期 2025-10-16
會議資料.會議代碼 委員會-11-4-35-5
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5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 5
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5次全體委員會議
影片種類 Clip
開始時間 2025-10-16T10:36:28+08:00
結束時間 2025-10-16T10:42:29+08:00
影片長度 00:06:01
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6022c9f6d63255a3f2aeabb5bdc2f97148532b8eb720c057de83ed45c59a17eb739c7deb8e227a905ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 10:36:28 - 10:42:29
會議時間 2025-10-16T09:00:00+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5次全體委員會議(事由:邀請外交部部長林佳龍報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.41909375
transcript.pyannote[0].end 3.94596875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 1.07721875
transcript.pyannote[1].end 1.80284375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 4.19909375
transcript.pyannote[2].end 5.43096875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 11.30346875
transcript.pyannote[3].end 12.80534375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 13.10909375
transcript.pyannote[4].end 13.59846875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 13.96971875
transcript.pyannote[5].end 19.33596875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 19.43721875
transcript.pyannote[6].end 25.66409375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 25.84971875
transcript.pyannote[7].end 27.30096875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 27.85784375
transcript.pyannote[8].end 42.91034375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 39.36659375
transcript.pyannote[9].end 40.12596875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 43.53471875
transcript.pyannote[10].end 49.59284375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 45.71159375
transcript.pyannote[11].end 48.58034375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 49.30596875
transcript.pyannote[12].end 50.84159375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 51.51659375
transcript.pyannote[13].end 51.92159375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 53.37284375
transcript.pyannote[14].end 55.26284375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 55.68471875
transcript.pyannote[15].end 58.57034375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 58.06409375
transcript.pyannote[16].end 65.26971875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 64.94909375
transcript.pyannote[17].end 68.57721875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 66.90659375
transcript.pyannote[18].end 86.81909375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 86.86971875
transcript.pyannote[19].end 88.43909375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 89.26596875
transcript.pyannote[20].end 92.48909375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 92.72534375
transcript.pyannote[21].end 97.73721875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 97.95659375
transcript.pyannote[22].end 97.99034375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 97.99034375
transcript.pyannote[23].end 98.05784375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 98.05784375
transcript.pyannote[24].end 101.50034375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 98.07471875
transcript.pyannote[25].end 98.51346875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 100.96034375
transcript.pyannote[26].end 101.51721875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 101.51721875
transcript.pyannote[27].end 101.55096875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 101.55096875
transcript.pyannote[28].end 102.36096875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 101.87159375
transcript.pyannote[29].end 102.56346875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 103.23846875
transcript.pyannote[30].end 104.95971875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 103.39034375
transcript.pyannote[31].end 103.67721875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 104.67284375
transcript.pyannote[32].end 109.07721875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 108.03096875
transcript.pyannote[33].end 109.93784375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 109.12784375
transcript.pyannote[34].end 117.97034375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 111.03471875
transcript.pyannote[35].end 111.57471875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 119.01659375
transcript.pyannote[36].end 120.34971875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 121.15971875
transcript.pyannote[37].end 129.66471875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 130.15409375
transcript.pyannote[38].end 131.26784375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 132.24659375
transcript.pyannote[39].end 134.71034375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 134.91284375
transcript.pyannote[40].end 148.32846875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 149.23971875
transcript.pyannote[41].end 155.56784375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 155.93909375
transcript.pyannote[42].end 164.91659375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 165.20346875
transcript.pyannote[43].end 166.08096875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 166.82346875
transcript.pyannote[44].end 168.61221875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 169.10159375
transcript.pyannote[45].end 192.20346875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 170.04659375
transcript.pyannote[46].end 170.85659375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 171.00846875
transcript.pyannote[47].end 171.36284375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 178.72034375
transcript.pyannote[48].end 180.12096875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 192.20346875
transcript.pyannote[49].end 201.40034375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 202.27784375
transcript.pyannote[50].end 205.92284375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 206.68221875
transcript.pyannote[51].end 208.08284375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 208.48784375
transcript.pyannote[52].end 211.84596875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 212.82471875
transcript.pyannote[53].end 232.80471875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 231.16784375
transcript.pyannote[54].end 231.50534375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 233.17596875
transcript.pyannote[55].end 233.78346875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 234.54284375
transcript.pyannote[56].end 241.68096875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 243.06471875
transcript.pyannote[57].end 243.13221875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 243.13221875
transcript.pyannote[58].end 243.19971875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 243.19971875
transcript.pyannote[59].end 243.25034375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 243.25034375
transcript.pyannote[60].end 243.26721875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 243.26721875
transcript.pyannote[61].end 244.44846875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 244.48221875
transcript.pyannote[62].end 249.13971875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 248.76846875
transcript.pyannote[63].end 248.92034375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 249.49409375
transcript.pyannote[64].end 251.97471875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 249.56159375
transcript.pyannote[65].end 250.47284375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 251.43471875
transcript.pyannote[66].end 251.90721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 252.49784375
transcript.pyannote[67].end 256.58159375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 256.66596875
transcript.pyannote[68].end 256.69971875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 256.69971875
transcript.pyannote[69].end 256.86846875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 257.34096875
transcript.pyannote[70].end 262.15034375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 262.31909375
transcript.pyannote[71].end 264.73221875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 265.39034375
transcript.pyannote[72].end 273.86159375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 273.86159375
transcript.pyannote[73].end 279.78471875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 273.92909375
transcript.pyannote[74].end 274.28346875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 276.83159375
transcript.pyannote[75].end 277.20284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 279.78471875
transcript.pyannote[76].end 281.43846875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 280.37534375
transcript.pyannote[77].end 281.18534375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 281.43846875
transcript.pyannote[78].end 281.53971875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 281.53971875
transcript.pyannote[79].end 282.02909375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 282.02909375
transcript.pyannote[80].end 282.14721875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 282.14721875
transcript.pyannote[81].end 282.16409375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 282.16409375
transcript.pyannote[82].end 282.18096875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 282.18096875
transcript.pyannote[83].end 282.19784375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 282.19784375
transcript.pyannote[84].end 282.21471875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 283.19346875
transcript.pyannote[85].end 285.21846875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 284.39159375
transcript.pyannote[86].end 294.07784375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 294.83721875
transcript.pyannote[87].end 302.11034375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 302.65034375
transcript.pyannote[88].end 303.93284375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 304.25346875
transcript.pyannote[89].end 307.91534375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 308.55659375
transcript.pyannote[90].end 312.94409375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 313.24784375
transcript.pyannote[91].end 316.79159375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 317.09534375
transcript.pyannote[92].end 318.37784375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 318.14159375
transcript.pyannote[93].end 323.74409375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 319.93034375
transcript.pyannote[94].end 320.38596875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 321.21284375
transcript.pyannote[95].end 324.52034375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 323.79471875
transcript.pyannote[96].end 323.82846875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 323.91284375
transcript.pyannote[97].end 325.17846875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 325.39784375
transcript.pyannote[98].end 325.68471875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 325.81971875
transcript.pyannote[99].end 327.60846875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 328.33409375
transcript.pyannote[100].end 333.31221875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 334.05471875
transcript.pyannote[101].end 334.32471875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 334.52721875
transcript.pyannote[102].end 338.03721875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 336.46784375
transcript.pyannote[103].end 340.82159375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 340.87221875
transcript.pyannote[104].end 348.97221875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 344.92221875
transcript.pyannote[105].end 344.95596875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 344.95596875
transcript.pyannote[106].end 346.39034375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 348.97221875
transcript.pyannote[107].end 349.63034375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 348.98909375
transcript.pyannote[108].end 349.46159375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 349.63034375
transcript.pyannote[109].end 349.96784375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 349.96784375
transcript.pyannote[110].end 357.76409375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 350.55846875
transcript.pyannote[111].end 351.19971875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 351.19971875
transcript.pyannote[112].end 351.53721875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 351.84096875
transcript.pyannote[113].end 352.09409375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 352.54971875
transcript.pyannote[114].end 352.98846875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 356.56596875
transcript.pyannote[115].end 357.32534375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 357.76409375
transcript.pyannote[116].end 359.51909375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 358.16909375
transcript.pyannote[117].end 360.85221875
transcript.whisperx[0].start 1.05
transcript.whisperx[0].end 5.392
transcript.whisperx[0].text 謝謝主席以及各位先進有請林部長來 林教仁部長請來 部長你早喔喂好你好我看到今天的報告啊你裡面有一段我覺得標題還寫得不錯但是我裡面看不到你知道嗎從價值外交變成家子外交啊家啊家
transcript.whisperx[1].start 27.907
transcript.whisperx[1].end 29.789
transcript.whisperx[1].text 這個就增加價值啦增加水的價值增加水的價值增加水的價值互相
transcript.whisperx[2].start 53.427
transcript.whisperx[2].end 67.037
transcript.whisperx[2].text 就是來往對互相有利所以理念相近也要厲害那就是那就是互利外交啦那就是利益外交嘛都很清楚你可以看委員講的互利外交也蠻接近的現在川普的主政之下
transcript.whisperx[3].start 71.46
transcript.whisperx[3].end 87.285
transcript.whisperx[3].text 利益外交啦 誰跟他有利益川普開口閉口說錢啊 關稅來 錢拿來你台灣中有這麼多錢 我課你關稅日本中有這麼多錢 我課你關稅所以川普來講就是道地的一個金錢外交嘛那不是這樣 是不是
transcript.whisperx[4].start 89.563
transcript.whisperx[4].end 103.629
transcript.whisperx[4].text 這個是國際的現實就是這樣啊你說到價值齁我整部我整部看都沒有我跟委員講一下那個英文齁就是ValueValue Edit 我知道啦Based到Value EditValue Edit 我知道啦委員是財經專家沒有啦我Value Edit我知道啦齁但是但是這做得太過頭啦齁而且最近林部長最近你很紅欸
transcript.whisperx[5].start 119.019
transcript.whisperx[5].end 120.26
transcript.whisperx[5].text 媒體都看著你四夾啞啞背 像花蝴蝶這樣背來背去 背來背去以外交部長來說 那也是不錯啦問題是 我覺得我要問有什麼成果
transcript.whisperx[6].start 132.301
transcript.whisperx[6].end 147.927
transcript.whisperx[6].text 有什麼成果 你癢癢不會有什麼成果台灣有事喔 日本有事喔 台灣有事喔 歐洲有事喔台灣有事喔 全世界都有事 他們有事什麼意思說台灣來修台 他們會出兵嗎
transcript.whisperx[7].start 149.487
transcript.whisperx[7].end 165.657
transcript.whisperx[7].text 這個才是 日本人沒有講清楚啊台灣有事 日本有事 是怎麼樣日本要出兵嗎 請問是不是是不是這個意思 請問是不是現在是高市長要上來了又安倍的路 台灣有事就是日本有事是不是日本要出兵 請問能不能這樣解讀
transcript.whisperx[8].start 166.874
transcript.whisperx[8].end 191.276
transcript.whisperx[8].text 委員他是因為有日美安保條約啦美國跟台灣有台灣關係法所以聯動會日本會介入啦菲律賓最近也是這樣講啊因為他們如果說介入是他們要出兵嗎我就問這個會不會出兵比較重要因為那個涉及日美安保的內容還有這個美菲這個所謂的協防的條約
transcript.whisperx[9].start 192.757
transcript.whisperx[9].end 199.794
transcript.whisperx[9].text 你全世界羊羊背到處都有林佳龍的訊息也不是壞事啦增加我們的能見度但是我就要問說結果勒
transcript.whisperx[10].start 202.318
transcript.whisperx[10].end 211.062
transcript.whisperx[10].text 沒看的結果CPTPP原地踏不踏台美租稅協定避免雙重課稅原地踏不踏這個很重要 我就問這個台美關係是不是很好結果台美租稅協定到現在為止我去財政部那裡問部長兩年前跟我講同樣的話去年講同樣的話 今年講同樣的話就進度都這樣了中醫院過了 參議院還沒有過去年就講了 說一年 也這樣
transcript.whisperx[11].start 232.39
transcript.whisperx[11].end 233.512
transcript.whisperx[11].text 請問外交部CPTPP沒有 台美諸葬協定沒有你沒有成績啊 你贏了不會像花蝴蝶一樣沒有成績啊
transcript.whisperx[12].start 244.578
transcript.whisperx[12].end 264.547
transcript.whisperx[12].text 有啦 我們都派次長到日本 澳洲 英國去交涉CPTPP就沒有結果啊有一些國家是就有表態有一些國家在支持中這個表態支持 我看結果英國跟我們同一個時間申請英國加入了 台灣還沒有加入
transcript.whisperx[13].start 265.587
transcript.whisperx[13].end 272.232
transcript.whisperx[13].text 講幾步 對不對然後 比較想要的國際組織也沒有加入還有 上一次我記得我問你你說有可能增加一個邦交國不是啊 那是委員講 我沒有否認嘛你沒有否認我們一定是要有個目標去努力啊結果呢 現在呢結果現在呢我們都有在發展 是啊現在就是你我講的就是說你贏贏不贏 全世界贏贏不贏都是你心目很好 我給你鼓掌但是我要看結果啊
transcript.whisperx[14].start 295.098
transcript.whisperx[14].end 306.046
transcript.whisperx[14].text 結果原地塔不塌CPTPP原地塔不塌IKEA也沒有什麼都沒有 台美租稅協定堅若磐石也沒有你講一下 最後一個小問題我問一下那個ASTA這個去美國那裡ASTA一次兩年能不能跟你以前一樣以前就是B1 B2五年你能不能講一下
transcript.whisperx[15].start 318.254
transcript.whisperx[15].end 324.341
transcript.whisperx[15].text 其實齁 我們跟美國之間除了貨品之外沒有 只有兩年 エスタ只有兩年 エスタ只有兩年在五年前還是有啊不是 エスタ只有兩年 エスタ只有兩年 エスタ可不可以跟美國講一下讓我們演一下 給他賣幾年還要再唱
transcript.whisperx[16].start 335.132
transcript.whisperx[16].end 351.467
transcript.whisperx[16].text 我們北美私隱私隱官媒就是如果有比較頻繁的去美國供出的需求的話是可以申請B1B2簽證那那個效期還是五年我知道啦 要去AAT簽證不知道在線上 你就這麼方便啦賴委員謝謝啦你剛才吵架很久都沒來講我吵架是五年好 謝謝賴司保委員 各位請回