IVOD_ID |
161626 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161626 |
日期 |
2025-05-20 |
會議資料.會議代碼 |
院會-11-3-12 |
會議資料.會議代碼:str |
第11屆第3會期第12次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
12 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第12次會議 |
影片種類 |
Clip |
開始時間 |
2025-05-20T15:16:50+08:00 |
結束時間 |
2025-05-20T15:19:14+08:00 |
影片長度 |
00:02:24 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5c7b0f5e40a1ed7ac9870960574c9f74de671ac7ad0dc7579073ced31485eac614b1ada5b04794185ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
林俊憲 |
委員發言時間 |
15:16:50 - 15:19:14 |
會議時間 |
2025-05-20T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第12次會議(事由:一、討論事項:本院國民黨黨團,有鑑於近日美國總統川普提名的準國防部次長柯伯吉(Elbridge Colby)就有關防衛台灣問題,表示台灣的國防預算應該接近GDP的10%。國防軍備預算如占GDP10%大約2.6兆元,幾乎是我國中央政府一年的歲出,是否會對我國財政造成重大衝擊並產生排擠效應?對我國整體施政可能造成什麼影響?國防安全能確實獲得保障嗎?種種問題均攸關重大,賴清德政府應清楚向國人交代。國防軍備預算提高為GDP10%茲事體大,國人憂心國防預算提高甚至危及國安,爰此,建請院會作成決議:「儘速邀請行政院院長率同國防部部長及相關部會首長就『國防軍備預算提高為GDP 10%對我國可能造成之影響』乙案進行專案報告,以安民心並釋群疑。」是否有當?請公決案等16案。二、5月16日上午9時至10時為國是論壇時間。三、5月20日下午5時至6時為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
7.91159375 |
transcript.pyannote[0].end |
9.59909375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
10.71284375 |
transcript.pyannote[1].end |
12.87284375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
13.15971875 |
transcript.pyannote[2].end |
14.76284375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
15.64034375 |
transcript.pyannote[3].end |
17.17596875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
17.88471875 |
transcript.pyannote[4].end |
18.57659375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
18.76221875 |
transcript.pyannote[5].end |
21.05721875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
21.69846875 |
transcript.pyannote[6].end |
23.57159375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
23.84159375 |
transcript.pyannote[7].end |
27.70596875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
27.99284375 |
transcript.pyannote[8].end |
31.28346875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
31.43534375 |
transcript.pyannote[9].end |
33.66284375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
34.33784375 |
transcript.pyannote[10].end |
35.46846875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
35.67096875 |
transcript.pyannote[11].end |
36.90284375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
37.24034375 |
transcript.pyannote[12].end |
39.61971875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
40.54784375 |
transcript.pyannote[13].end |
42.01596875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
42.80909375 |
transcript.pyannote[14].end |
44.15909375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
44.56409375 |
transcript.pyannote[15].end |
45.52596875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
45.72846875 |
transcript.pyannote[16].end |
46.42034375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
47.28096875 |
transcript.pyannote[17].end |
48.61409375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
49.76159375 |
transcript.pyannote[18].end |
50.36909375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
51.51659375 |
transcript.pyannote[19].end |
52.39409375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
52.57971875 |
transcript.pyannote[20].end |
53.22096875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
54.45284375 |
transcript.pyannote[21].end |
54.90846875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
54.92534375 |
transcript.pyannote[22].end |
55.58346875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
56.56221875 |
transcript.pyannote[23].end |
57.65909375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
58.09784375 |
transcript.pyannote[24].end |
59.63346875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
60.17346875 |
transcript.pyannote[25].end |
63.56534375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
64.13909375 |
transcript.pyannote[26].end |
65.77596875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
66.80534375 |
transcript.pyannote[27].end |
69.31971875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
69.92721875 |
transcript.pyannote[28].end |
72.03659375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
72.42471875 |
transcript.pyannote[29].end |
73.18409375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
73.57221875 |
transcript.pyannote[30].end |
74.88846875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
75.74909375 |
transcript.pyannote[31].end |
78.24659375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
78.71909375 |
transcript.pyannote[32].end |
80.27159375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
80.86221875 |
transcript.pyannote[33].end |
81.90846875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
83.12346875 |
transcript.pyannote[34].end |
85.99221875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
86.29596875 |
transcript.pyannote[35].end |
87.78096875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
88.32096875 |
transcript.pyannote[36].end |
90.22784375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
90.63284375 |
transcript.pyannote[37].end |
94.93596875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
95.12159375 |
transcript.pyannote[38].end |
96.31971875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
96.69096875 |
transcript.pyannote[39].end |
98.31096875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
99.13784375 |
transcript.pyannote[40].end |
100.53846875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
101.21346875 |
transcript.pyannote[41].end |
101.66909375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
102.15846875 |
transcript.pyannote[42].end |
103.50846875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
103.79534375 |
transcript.pyannote[43].end |
106.32659375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
107.00159375 |
transcript.pyannote[44].end |
107.79471875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
108.16596875 |
transcript.pyannote[45].end |
109.19534375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
109.71846875 |
transcript.pyannote[46].end |
113.76846875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
114.07221875 |
transcript.pyannote[47].end |
120.83909375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
121.14284375 |
transcript.pyannote[48].end |
124.41659375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
124.82159375 |
transcript.pyannote[49].end |
127.20096875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
127.67346875 |
transcript.pyannote[50].end |
130.47471875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
130.91346875 |
transcript.pyannote[51].end |
132.78659375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
136.51596875 |
transcript.pyannote[52].end |
142.87784375 |
transcript.whisperx[0].start |
7.932 |
transcript.whisperx[0].end |
30.363 |
transcript.whisperx[0].text |
好 謝謝主席 各位同仁我國的立法院國會開會是規定在憲法這個在全世界很少見我們把立法院開會的時間是直接定在憲法裡面所以憲法第68條寫立法院開會的時間定期會是2月1號到5月31號9月1號到12月31號 |
transcript.whisperx[1].start |
34.4 |
transcript.whisperx[1].end |
55.141 |
transcript.whisperx[1].text |
那如果你要研會 憲法有特別規定你要有非常特殊的狀況那現在有什麼特殊狀況現在唯一的特殊狀況就是大罷免 大投票不然有什麼事所以我們現在來看看在研會 |
transcript.whisperx[2].start |
56.681 |
transcript.whisperx[2].end |
76.598 |
transcript.whisperx[2].text |
國民黨會處理什麼案件 一定就是針對大罷免我想啦 我想啦 他要用國庫的錢來救把面啦普發現金一萬元啦 還是說為了躲避司法的追訴啦大罷免當中發生的弊案啦 大家要來押一支保護傘啦國民黨說處理4100億的特別預算 這個臨時會就可以處理了 菸會兩個會 |
transcript.whisperx[3].start |
83.171 |
transcript.whisperx[3].end |
108.966 |
transcript.whisperx[3].text |
在憲法規定的會期以外你要再延會兩個月這一定要有最重要的理由嘛那你看公民黨這東西很清楚啦我問大家啦如果沒有大罷免今天國民黨會提延會嘛如果沒有大罷免就沒有延會啦所以呢這個延會延到七月底就是為了針對這個大罷免那接下來就是用 |
transcript.whisperx[4].start |
110.278 |
transcript.whisperx[4].end |
132.604 |
transcript.whisperx[4].text |
我們說的 開國的錢來買這些國民黨立委的 是要救自己啦這不是為了民眾要開的啦這是為了要對付自己的大部分 這才叫開的其實喔 民進黨代表 休會不是休假啦我們這地方喔 還是要把時間給選民啦那原委喔 因為大發明你就 |
transcript.whisperx[5].start |
136.547 |
transcript.whisperx[5].end |
142.512 |
transcript.whisperx[5].text |
好謝謝林俊憲委的發言接下來沈伯陽委員請發言鍾嘉斌委員請準備 |