iVOD / 165749

Field Value
IVOD_ID 165749
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165749
日期 2025-11-24
會議資料.會議代碼 委員會-11-4-35-17
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17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 17
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17次全體委員會議
影片種類 Clip
開始時間 2025-11-24T09:22:46+08:00
結束時間 2025-11-24T09:33:53+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/f813cb5f76f78103fc775d9111cd00720652d1d50d7223a572a482d9327719e91cf611dc18aaa0c55ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳永康
委員發言時間 09:22:46 - 09:33:53
會議時間 2025-11-24T09:00:00+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17次全體委員會議(事由:邀請國家安全局、外交部報告「日本首相高市早苗『台灣有事說』及『安保三文件修正』對區域安全及台海穩定的情勢研析」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.85784375
transcript.pyannote[0].end 5.34659375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 4.85721875
transcript.pyannote[1].end 5.27909375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 5.34659375
transcript.pyannote[2].end 5.36346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 5.58284375
transcript.pyannote[3].end 6.42659375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 7.03409375
transcript.pyannote[4].end 7.35471875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 16.75409375
transcript.pyannote[5].end 18.88034375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 19.21784375
transcript.pyannote[6].end 19.23471875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 19.26846875
transcript.pyannote[7].end 26.37284375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 26.65971875
transcript.pyannote[8].end 31.89096875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 31.95846875
transcript.pyannote[9].end 33.81471875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 34.69221875
transcript.pyannote[10].end 37.07159375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 37.64534375
transcript.pyannote[11].end 39.04596875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 39.77159375
transcript.pyannote[12].end 43.50096875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 43.56846875
transcript.pyannote[13].end 44.90159375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 45.22221875
transcript.pyannote[14].end 50.43659375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 50.82471875
transcript.pyannote[15].end 51.88784375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 52.46159375
transcript.pyannote[16].end 62.35034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 62.68784375
transcript.pyannote[17].end 64.79721875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 65.52284375
transcript.pyannote[18].end 67.32846875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 68.50971875
transcript.pyannote[19].end 75.05721875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 75.74909375
transcript.pyannote[20].end 82.09409375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 84.40596875
transcript.pyannote[21].end 86.44784375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 86.97096875
transcript.pyannote[22].end 92.10096875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 92.53971875
transcript.pyannote[23].end 100.53846875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 101.28096875
transcript.pyannote[24].end 108.73971875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 109.04346875
transcript.pyannote[25].end 112.38471875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 112.99221875
transcript.pyannote[26].end 114.22409375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 114.78096875
transcript.pyannote[27].end 118.29096875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 119.30346875
transcript.pyannote[28].end 132.04409375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 132.26346875
transcript.pyannote[29].end 138.84471875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 139.87409375
transcript.pyannote[30].end 144.90284375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 145.71284375
transcript.pyannote[31].end 146.33721875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 146.72534375
transcript.pyannote[32].end 154.13346875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 155.02784375
transcript.pyannote[33].end 159.82034375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 161.05221875
transcript.pyannote[34].end 176.57721875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 178.26471875
transcript.pyannote[35].end 180.74534375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 181.16721875
transcript.pyannote[36].end 182.70284375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 183.37784375
transcript.pyannote[37].end 184.45784375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 185.20034375
transcript.pyannote[38].end 187.41096875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 188.33909375
transcript.pyannote[39].end 192.38909375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 193.92471875
transcript.pyannote[40].end 194.51534375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 195.49409375
transcript.pyannote[41].end 196.89471875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 197.46846875
transcript.pyannote[42].end 198.02534375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 198.91971875
transcript.pyannote[43].end 200.43846875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 201.24846875
transcript.pyannote[44].end 201.60284375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 201.97409375
transcript.pyannote[45].end 204.28596875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 204.67409375
transcript.pyannote[46].end 208.35284375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 209.04471875
transcript.pyannote[47].end 214.37721875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 215.03534375
transcript.pyannote[48].end 215.40659375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 216.21659375
transcript.pyannote[49].end 218.79846875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 219.25409375
transcript.pyannote[50].end 219.69284375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 220.18221875
transcript.pyannote[51].end 221.11034375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 221.54909375
transcript.pyannote[52].end 222.83159375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 223.75971875
transcript.pyannote[53].end 226.07159375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 226.25721875
transcript.pyannote[54].end 229.86846875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 230.74596875
transcript.pyannote[55].end 232.46721875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 233.20971875
transcript.pyannote[56].end 244.80284375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 245.19096875
transcript.pyannote[57].end 246.20346875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 246.28784375
transcript.pyannote[58].end 248.44784375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 249.83159375
transcript.pyannote[59].end 251.23221875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 251.62034375
transcript.pyannote[60].end 252.59909375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 252.98721875
transcript.pyannote[61].end 254.42159375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 255.06284375
transcript.pyannote[62].end 256.90221875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 258.23534375
transcript.pyannote[63].end 261.67784375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 261.79596875
transcript.pyannote[64].end 268.52909375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 269.20409375
transcript.pyannote[65].end 274.30034375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 274.97534375
transcript.pyannote[66].end 276.54471875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 277.15221875
transcript.pyannote[67].end 279.75096875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 279.90284375
transcript.pyannote[68].end 281.35409375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 282.16409375
transcript.pyannote[69].end 285.42096875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 287.15909375
transcript.pyannote[70].end 288.76221875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 289.23471875
transcript.pyannote[71].end 295.52909375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 295.93409375
transcript.pyannote[72].end 301.14846875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 301.41846875
transcript.pyannote[73].end 316.09971875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 316.36971875
transcript.pyannote[74].end 319.77846875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 320.52096875
transcript.pyannote[75].end 332.68784375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 332.85659375
transcript.pyannote[76].end 335.23596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 335.60721875
transcript.pyannote[77].end 343.69034375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 344.38221875
transcript.pyannote[78].end 345.58034375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 346.12034375
transcript.pyannote[79].end 354.11909375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 354.57471875
transcript.pyannote[80].end 355.14846875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 355.41846875
transcript.pyannote[81].end 358.50659375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 358.81034375
transcript.pyannote[82].end 363.41721875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 369.13784375
transcript.pyannote[83].end 369.45846875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 370.69034375
transcript.pyannote[84].end 371.50034375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 372.24284375
transcript.pyannote[85].end 372.83346875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 375.04409375
transcript.pyannote[86].end 377.87909375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 378.45284375
transcript.pyannote[87].end 379.83659375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 380.24159375
transcript.pyannote[88].end 384.46034375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 385.18596875
transcript.pyannote[89].end 385.50659375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 385.96221875
transcript.pyannote[90].end 392.50971875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 392.86409375
transcript.pyannote[91].end 400.18784375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 400.55909375
transcript.pyannote[92].end 405.13221875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 405.67221875
transcript.pyannote[93].end 406.34721875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 407.84909375
transcript.pyannote[94].end 410.26221875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 410.66721875
transcript.pyannote[95].end 411.73034375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 411.88221875
transcript.pyannote[96].end 413.65409375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 414.29534375
transcript.pyannote[97].end 414.83534375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 415.32471875
transcript.pyannote[98].end 418.17659375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 418.31159375
transcript.pyannote[99].end 423.23909375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 423.50909375
transcript.pyannote[100].end 436.87409375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 437.39721875
transcript.pyannote[101].end 447.62346875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 448.29846875
transcript.pyannote[102].end 455.50409375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 456.07784375
transcript.pyannote[103].end 461.64659375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 461.79846875
transcript.pyannote[104].end 463.77284375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 465.07221875
transcript.pyannote[105].end 474.84284375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 475.39971875
transcript.pyannote[106].end 478.70721875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 479.44971875
transcript.pyannote[107].end 489.22034375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 490.24971875
transcript.pyannote[108].end 491.02596875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 491.39721875
transcript.pyannote[109].end 493.91159375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 496.00409375
transcript.pyannote[110].end 497.18534375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 497.69159375
transcript.pyannote[111].end 498.58596875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 499.05846875
transcript.pyannote[112].end 502.45034375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 502.92284375
transcript.pyannote[113].end 505.79159375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 506.70284375
transcript.pyannote[114].end 511.39409375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 511.78221875
transcript.pyannote[115].end 519.37596875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 519.89909375
transcript.pyannote[116].end 523.37534375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 523.84784375
transcript.pyannote[117].end 528.97784375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 529.02846875
transcript.pyannote[118].end 530.90159375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 530.93534375
transcript.pyannote[119].end 534.64784375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 535.01909375
transcript.pyannote[120].end 537.26346875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 537.56721875
transcript.pyannote[121].end 540.13221875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 540.75659375
transcript.pyannote[122].end 563.25096875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 563.36909375
transcript.pyannote[123].end 570.67596875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 571.16534375
transcript.pyannote[124].end 584.93534375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 585.42471875
transcript.pyannote[125].end 585.69471875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 586.42034375
transcript.pyannote[126].end 591.98909375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 598.31721875
transcript.pyannote[127].end 603.83534375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 604.20659375
transcript.pyannote[128].end 626.48159375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 626.95409375
transcript.pyannote[129].end 629.28284375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 628.81034375
transcript.pyannote[130].end 637.39971875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 637.75409375
transcript.pyannote[131].end 644.14971875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 644.23409375
transcript.pyannote[132].end 653.59971875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 653.86971875
transcript.pyannote[133].end 665.17596875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 666.15471875
transcript.pyannote[134].end 667.97721875
transcript.whisperx[0].start 1.026
transcript.whisperx[0].end 5.179
transcript.whisperx[0].text 主席有請外交部次長以及國安局副局長兩位兩位請
transcript.whisperx[1].start 16.972
transcript.whisperx[1].end 33.628
transcript.whisperx[1].text 两位首长好这个大家都承受了这个很大的压力面对国际动态局势的变化那么听取了今天双方啊有一些很深入的报告我这边提出一个建言第一个我们跟日方的沟通啊
transcript.whisperx[2].start 34.741
transcript.whisperx[2].end 51.714
transcript.whisperx[2].text 不要用台湾有事用台海有事台海是一个怎么讲一个是泛战略性的议题就说台海有事是中共出招台湾有事对中共来讲是外力介入所以用台海有事台海的范畴没有明确的定义
transcript.whisperx[3].start 52.515
transcript.whisperx[3].end 73.516
transcript.whisperx[3].text 但是台湾有事就变成属于管辖权主权问题就特别复杂了所以第一个用台海有事当台海有事的时候它会链接到南海东海甚至到朝鲜半岛台湾海峡每天通过的货柜运输量占全球的25%
transcript.whisperx[4].start 75.816
transcript.whisperx[4].end 80.506
transcript.whisperx[4].text 那麼這個經濟的量在海線交通上佔全球的15%
transcript.whisperx[5].start 84.448
transcript.whisperx[5].end 110.786
transcript.whisperx[5].text 台海有事 中国大陆也有事为什么呢中国大陆在长江外面的阳山港舟山群岛除了战略除油以外阳山港是全世界最大的货柜码头它一个阳山港的吞吐量超过美国所有港口的总和一年进出的货柜4730万个货柜
transcript.whisperx[6].start 113.092
transcript.whisperx[6].end 138.516
transcript.whisperx[6].text 这个货柜又占了中国大陆吞吐量进口40%台海占全球25%这个25%里面有到台湾有到日本到韩国到中国大陆但中国大陆又占了进口的40%这个支持它的一带一路如果台海有事中国的一带一路也受损所以用这种方式来函结没有赢家
transcript.whisperx[7].start 139.929
transcript.whisperx[7].end 159.509
transcript.whisperx[7].text 如果起冲突大家都是输家所以要维持区域性的和平对等跟友善的盟邦对话这是很重要的另外就是说我想两个单位除了看了这个中方的这个威责恐吓的言辞以外还有日本的论述以外
transcript.whisperx[8].start 161.124
transcript.whisperx[8].end 187.114
transcript.whisperx[8].text 我们对对话过程还有中间谈话的过程除了文件内容以外请问两单位有没有对政治思想或者是心理学去判断他们谈话的心态我给您看一下这个照片国际谈判除了事后分析谈话的内容以外聚焦四个重点眼神方向 嘴部表情
transcript.whisperx[9].start 188.393
transcript.whisperx[9].end 215.132
transcript.whisperx[9].text 脸部表情嘴角的示意肢体的距离你看左边上面这个习大大在看这个高市首相的时候我看你怎么说那高市首相是顾左右言他一个是用硬实力去压对方一个是说我有软实力你在看右下角这个图你看这个川普总统说我看你说什么那
transcript.whisperx[10].start 216.263
transcript.whisperx[10].end 229.615
transcript.whisperx[10].text 这个高市首相是说你想听什么因为川普总统啊是说我用锐实力但是呢首相说我有韧实力所以在这种国际情势中间呢政治是在务虚
transcript.whisperx[11].start 230.839
transcript.whisperx[11].end 256.708
transcript.whisperx[11].text 产业经济是要务实国家力量是靠整合最后是要发挥任实力今天这个谈提到了日本在日本政府在2022年修订了保安三文件安保三文件第一个国家安全保障战略它的英文版就是国家安全战略national security strategy然后国家防卫战略
transcript.whisperx[12].start 258.271
transcript.whisperx[12].end 285.203
transcript.whisperx[12].text 防卫力量准备计划这三个跟美国实际上1986年的高尼法案是一样的美国有国家安全战略然后有国防战略美国在2017年把它的四年期国防总检取消了QD取消了改成四年发行一本国家安全战略然后军事战略我们国家我一直本席一直在强烈建议我们政府
transcript.whisperx[13].start 287.196
transcript.whisperx[13].end 300.67
transcript.whisperx[13].text 国家安全法是反渗透防止别人对我们的内部破坏跟国家安全战略毫无关联国家安全战略最主要是整体国家利益做跨部会整合的
transcript.whisperx[14].start 301.567
transcript.whisperx[14].end 319.476
transcript.whisperx[14].text 表述最主要是基于你的国家安全战略对于你的国家核心利益外国政府有一个明确的了解这个我们在任何场合都建议我们政府在这个任内一定要推出我们的国家安全战略那我们目前还在学习美国的QDR
transcript.whisperx[15].start 320.938
transcript.whisperx[15].end 343.569
transcript.whisperx[15].text 从上一个版本43页对国家安全战略里面的言辞只有1.5页4年后今年出的版本变成59页了对国防讲了大概4页国防报告书也增加了从4页变6页但是这个相对跟我们的友邦友好国家跟日本比起来差太多了
transcript.whisperx[16].start 344.437
transcript.whisperx[16].end 363.371
transcript.whisperx[16].text 日本有韩国有这个当然美国是原企英国澳洲都有所以我们这个方面一定要有一个发展出的战略不然呢就说跨部会的协商就会产生出弱点那我请教一下这个自由开放印太是哪一年开始的FOIP这没关系啊这个
transcript.whisperx[17].start 375.284
transcript.whisperx[17].end 384.204
transcript.whisperx[17].text 習近平在2013年啟動了一個他的所謂的大戰略就是一帶一路原來叫OBOR後來叫BRI
transcript.whisperx[18].start 386.056
transcript.whisperx[18].end 413.392
transcript.whisperx[18].text 那美国在川普总统在2017年就启动了自由开放印太作为对应但是这个FIP完了以后他觉得不够他又成立一个亚太经济机构就是IPAF那都是有对应性的东西那从这个结果我们去看下一张我们对所有的论述就是日方的立场日本的态度日方解义他的意涵
transcript.whisperx[19].start 414.366
transcript.whisperx[19].end 436.568
transcript.whisperx[19].text 来看中国大陆他的立场他的态度他的行动这是分析的方法论我们通常都是写一篇报告就是有点像战斗文学但是没有结构性的分析那这个图你可以看到日国人的态度他认为国家存亡及经济发展的关键在台海安全
transcript.whisperx[20].start 437.449
transcript.whisperx[20].end 463.534
transcript.whisperx[20].text 台海不要讲台湾那如果台湾的贸易经济受损是全世界都受伤因为你的晶圆进口输出料配件输出你的电力中断所以用台海取代台湾问题这是一个比较好的比较宽容的方法跟所有的友邦接那中国大陆至于呢他不容外界干涉了他这个讲话我们看看就好那再看下一张那
transcript.whisperx[21].start 465.097
transcript.whisperx[21].end 493.462
transcript.whisperx[21].text 这个日向高市它的安保东西修正的东西这就是我刚刚提出的我们要建议我们的政府在这个任内一定要公布我们的国家安全战略那才有国防战略那要把QDR四年期总减改成国防战略最后才是你的军事战略那提升GDP我们每个国家的总和不一样那有自己的因素这里面有美方的反应有中方的反应
transcript.whisperx[22].start 496.038
transcript.whisperx[22].end 505.472
transcript.whisperx[22].text 最后就是讲到第一岛链是拒止中共军事向外扩张的一个重要防线美日安保条约是必要的军事合作法规
transcript.whisperx[23].start 506.772
transcript.whisperx[23].end 534.529
transcript.whisperx[23].text 我们中华民国在台湾是不能缺席的地缘战略的枢纽但是高市对这个话讲出来有什么影响呢比较加剧了中日之间的猜疑增添了美国大国竞争中的变数也牵动了台海和平稳定的复杂程度所以我们的一个回补修正的建议就是说不提台湾问题而用台海问题是比较容易解套的
transcript.whisperx[24].start 535.109
transcript.whisperx[24].end 562.719
transcript.whisperx[24].text 另外一个就是说封锁台海是一个意识上的名词它并没有blockade zone的范围涵盖所以说它可能用的是cursive quarantine用微折的这个临检它不需要封锁因为现在每一条船根据这个IMO的你的这个要求都有你的国旗你的数码装载从哪到哪都可以知道所以在海上要拦检是很容易根本不需要
transcript.whisperx[25].start 563.519
transcript.whisperx[25].end 591.805
transcript.whisperx[25].text 宣布的封锁所以我们的方法做到和平发展的国家目标以及国际社会的共同期待原则和平必战战备胜战而且要能战止战那做法就是国防民生合一维持两岸对话交流参与国际有盟的机遇我拿这些东西作为像这个次党跟副局长做一个建言我看看是不是请教一下这个次党您给我们一些回应
transcript.whisperx[26].start 598.436
transcript.whisperx[26].end 626.159
transcript.whisperx[26].text 報告委員我想你的說法跟我其實是我的說法跟你都一直很類似的我去歐洲在談的我現在其實都不是談說幫忙台灣而是怎麼樣台海的和平穩定安全是大家共同的利益所以大家要盡力去維護台灣的共同利益因為就國際關係就外交上的現實他們為什麼要幫我們有時候也講說沒有那個理由所以共同維護台海利益就是符合那個委員講的我一直說
transcript.whisperx[27].start 627
transcript.whisperx[27].end 641.241
transcript.whisperx[27].text 朝著發走謝謝委員的建議謝謝副局長這邊您謝謝委員那剛委員提的這個觀點很感謝委員提出來的指導事實上我們看到國際聲稱很多包括美國歐盟
transcript.whisperx[28].start 642.282
transcript.whisperx[28].end 667.824
transcript.whisperx[28].text 日本相關的美盟國家都強調台海和平的穩定跟至關重要至關國際的一個重要所以呢這個部分是符合現在的一個趨勢也把台海穩定相對保障了我們台灣的安全所以這個部分後續我們會按照這樣的一個論述來去做密切的觀察國際情勢的變化謝謝委員指導謝謝大家共同努力謝謝主席