| IVOD_ID |
165826 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/165826 |
| 日期 |
2025-11-26 |
| 影片種類 |
Clip |
| 開始時間 |
2025-11-26T09:22:08+08:00 |
| 結束時間 |
2025-11-26T09:27:43+08:00 |
| 影片長度 |
00:05:35 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f5b16bee5fdcc5c102e3239fdab2a430ace2a84e35b1380202ef04a352e939f456a65096fc31f86f5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
吳秉叡 |
| 委員發言時間 |
09:22:08 - 09:27:43 |
| 會議時間 |
2025-11-26T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期財政、內政、外交及國防、經濟、教育及文化、交通、司法及法制、社會福利及衛生環境會第1次聯席會議（事由：審查或處理「中央政府前瞻基礎建設計畫第5期特別預算(114年度)」及「114年度中央政府總預算追加預算」決議：
一、有關中央研究院預算凍結書面報告案1案。
二、有關國立故宮博物院預算凍結書面報告案4案。
三、有關國家發展委員會預算凍結書面報告案1案。
四、有關行政院公共工程委員會預算凍結書面報告案1案。
五、有關內政部主管預算凍結書面報告案4案。
六、有關財政部主管預算凍結書面報告案1案。
七、有關教育部主管預算凍結書面報告案3案。
八、有關經濟部主管預算凍結書面報告案3案。
九、有關交通部主管預算凍結書面報告案10案。
十、有關衛生福利部主管預算凍結書面報告案4案。
十一、有關文化部主管預算凍結書面報告案1案。
十二、有關數位發展部主管預算凍結書面報告案3案。
十三、有關國家通訊傳播委員會預算凍結書面報告案1案。
十四、有關考試院主管預算凍結書面報告案1案。
十五、有關外交部主管預算凍結書面報告案1案。
十六、有關大陸委員會預算凍結書面報告案1案。
【11月26日及27日上午二天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
0.08159375 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
0.08159375 |
| transcript.pyannote[1].end |
0.57096875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
1.19534375 |
| transcript.pyannote[2].end |
2.12346875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
5.66721875 |
| transcript.pyannote[3].end |
6.62909375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
6.62909375 |
| transcript.pyannote[4].end |
6.64596875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
6.64596875 |
| transcript.pyannote[5].end |
7.82721875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
8.21534375 |
| transcript.pyannote[6].end |
13.24409375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
13.48034375 |
| transcript.pyannote[7].end |
17.32784375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
18.32346875 |
| transcript.pyannote[8].end |
18.86346875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
18.89721875 |
| transcript.pyannote[9].end |
21.31034375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
21.46221875 |
| transcript.pyannote[10].end |
24.38159375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
24.68534375 |
| transcript.pyannote[11].end |
30.55784375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
30.82784375 |
| transcript.pyannote[12].end |
33.54471875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
33.27471875 |
| transcript.pyannote[13].end |
36.70034375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
36.85221875 |
| transcript.pyannote[14].end |
37.88159375 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
37.98284375 |
| transcript.pyannote[15].end |
39.67034375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
40.17659375 |
| transcript.pyannote[16].end |
42.60659375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
41.07096875 |
| transcript.pyannote[17].end |
43.02846875 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
42.84284375 |
| transcript.pyannote[18].end |
42.97784375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
43.02846875 |
| transcript.pyannote[19].end |
43.04534375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
43.04534375 |
| transcript.pyannote[20].end |
43.12971875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
43.12971875 |
| transcript.pyannote[21].end |
43.14659375 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
43.51784375 |
| transcript.pyannote[22].end |
47.82096875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
47.82096875 |
| transcript.pyannote[23].end |
48.24284375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
48.46221875 |
| transcript.pyannote[24].end |
54.40221875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
55.11096875 |
| transcript.pyannote[25].end |
59.93721875 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
60.22409375 |
| transcript.pyannote[26].end |
62.50221875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
64.20659375 |
| transcript.pyannote[27].end |
66.48471875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
67.17659375 |
| transcript.pyannote[28].end |
69.91034375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
69.91034375 |
| transcript.pyannote[29].end |
70.04534375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
70.46721875 |
| transcript.pyannote[30].end |
72.98159375 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
73.69034375 |
| transcript.pyannote[31].end |
74.33159375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
74.60159375 |
| transcript.pyannote[32].end |
76.99784375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
77.72346875 |
| transcript.pyannote[33].end |
78.48284375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
78.97221875 |
| transcript.pyannote[34].end |
83.81534375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
84.20346875 |
| transcript.pyannote[35].end |
84.84471875 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
84.84471875 |
| transcript.pyannote[36].end |
91.64534375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
92.55659375 |
| transcript.pyannote[37].end |
103.72784375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
92.57346875 |
| transcript.pyannote[38].end |
93.11346875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
104.52096875 |
| transcript.pyannote[39].end |
105.87096875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
107.05221875 |
| transcript.pyannote[40].end |
108.48659375 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
109.24596875 |
| transcript.pyannote[41].end |
111.60846875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
112.46909375 |
| transcript.pyannote[42].end |
116.16471875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
116.65409375 |
| transcript.pyannote[43].end |
118.32471875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
117.26159375 |
| transcript.pyannote[44].end |
136.73534375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
119.60721875 |
| transcript.pyannote[45].end |
120.02909375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
121.56471875 |
| transcript.pyannote[46].end |
122.67846875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
136.81971875 |
| transcript.pyannote[47].end |
138.32159375 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
138.87846875 |
| transcript.pyannote[48].end |
140.27909375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
140.54909375 |
| transcript.pyannote[49].end |
141.40971875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
142.60784375 |
| transcript.pyannote[50].end |
143.45159375 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
144.10971875 |
| transcript.pyannote[51].end |
144.80159375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
146.69159375 |
| transcript.pyannote[52].end |
147.65346875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
148.24409375 |
| transcript.pyannote[53].end |
150.11721875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
150.79221875 |
| transcript.pyannote[54].end |
152.88471875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
153.45846875 |
| transcript.pyannote[55].end |
154.30221875 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
154.58909375 |
| transcript.pyannote[56].end |
156.05721875 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
156.52971875 |
| transcript.pyannote[57].end |
162.97596875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
163.34721875 |
| transcript.pyannote[58].end |
167.02596875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
167.39721875 |
| transcript.pyannote[59].end |
176.40846875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
176.98221875 |
| transcript.pyannote[60].end |
182.16284375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
182.24721875 |
| transcript.pyannote[61].end |
187.20846875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
187.32659375 |
| transcript.pyannote[62].end |
188.72721875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
188.76096875 |
| transcript.pyannote[63].end |
188.77784375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
188.79471875 |
| transcript.pyannote[64].end |
189.26721875 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
189.35159375 |
| transcript.pyannote[65].end |
193.33409375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
193.33409375 |
| transcript.pyannote[66].end |
199.45971875 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
193.97534375 |
| transcript.pyannote[67].end |
194.07659375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
199.45971875 |
| transcript.pyannote[68].end |
211.22159375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
212.03159375 |
| transcript.pyannote[69].end |
212.40284375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
212.60534375 |
| transcript.pyannote[70].end |
213.26346875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
213.26346875 |
| transcript.pyannote[71].end |
213.49971875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
213.49971875 |
| transcript.pyannote[72].end |
213.51659375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
213.60096875 |
| transcript.pyannote[73].end |
215.05221875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
215.05221875 |
| transcript.pyannote[74].end |
215.32221875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
215.23784375 |
| transcript.pyannote[75].end |
216.04784375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
216.60471875 |
| transcript.pyannote[76].end |
217.09409375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
217.29659375 |
| transcript.pyannote[77].end |
220.24971875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
221.11034375 |
| transcript.pyannote[78].end |
221.63346875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
221.93721875 |
| transcript.pyannote[79].end |
225.51471875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
225.83534375 |
| transcript.pyannote[80].end |
228.33284375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
228.50159375 |
| transcript.pyannote[81].end |
238.12034375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
238.57596875 |
| transcript.pyannote[82].end |
239.11596875 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
239.25096875 |
| transcript.pyannote[83].end |
244.70159375 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
244.85346875 |
| transcript.pyannote[84].end |
247.31721875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
249.02159375 |
| transcript.pyannote[85].end |
249.64596875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
250.23659375 |
| transcript.pyannote[86].end |
258.43784375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
258.58971875 |
| transcript.pyannote[87].end |
264.58034375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
265.23846875 |
| transcript.pyannote[88].end |
267.31409375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
267.97221875 |
| transcript.pyannote[89].end |
272.22471875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
272.54534375 |
| transcript.pyannote[90].end |
279.02534375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
279.63284375 |
| transcript.pyannote[91].end |
286.80471875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
287.17596875 |
| transcript.pyannote[92].end |
296.05221875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
296.62596875 |
| transcript.pyannote[93].end |
298.88721875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
299.84909375 |
| transcript.pyannote[94].end |
309.65346875 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
310.39596875 |
| transcript.pyannote[95].end |
316.55534375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
316.87596875 |
| transcript.pyannote[96].end |
317.26409375 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
317.51721875 |
| transcript.pyannote[97].end |
327.30471875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
327.30471875 |
| transcript.pyannote[98].end |
331.00034375 |
| transcript.whisperx[0].start |
0.389 |
| transcript.whisperx[0].end |
9.154 |
| transcript.whisperx[0].text |
現在跟你請教我們現在的這個能源規劃尤其是發電的部分火力發電到了你長期規劃是佔比是多少 |
| transcript.whisperx[1].start |
19.38 |
| transcript.whisperx[1].end |
29.867 |
| transcript.whisperx[1].text |
當然我們現在就是說火力就是如果含煤跟天然氣的比重加起來的話其實我們到2030年我們希望再生能力比例是30% |
| transcript.whisperx[2].start |
30.905 |
| transcript.whisperx[2].end |
54.23 |
| transcript.whisperx[2].text |
我不是問再生能源 我問你火力發電火力發電就煤跟天然氣就是20跟50%總共50%嘛 對不對就是2050年的這個長遠目標啦我提醒你是50%這50%裡面最主要的是天然氣發電吧因為天然氣發電顯然比用煤來講對空氣污染各方面都是比較好的 |
| transcript.whisperx[3].start |
55.168 |
| transcript.whisperx[3].end |
72.409 |
| transcript.whisperx[3].text |
然後雖然不一定會比較便宜但是因為現在大家重視這個污染問題所以天然氣到時候的占比會多少火力發電裡面的天然氣占比占全部是不是百分之三十那百分之三十現在台灣 |
| transcript.whisperx[4].start |
73.752 |
| transcript.whisperx[4].end |
97.354 |
| transcript.whisperx[4].text |
能夠向世界購買天然氣的公司有哪幾家目前的話我們是以澳洲卡達我說台灣的公司能夠買的就只有中油未來有三接之後有台電是不是這兩家這兩家是獨佔的買方因為目前我們也不可能開放私人公司 |
| transcript.whisperx[5].start |
98.12 |
| transcript.whisperx[5].end |
115.258 |
| transcript.whisperx[5].text |
另外如果是這樣的話請問我們現在用天然氣發電就以目前台灣存量最多可以多少天使用存量最多多少天我想我們都會達到安全存量 |
| transcript.whisperx[6].start |
116.921 |
| transcript.whisperx[6].end |
144.386 |
| transcript.whisperx[6].text |
這個實際的簽署你不用懷疑我是執政黨你不用懷疑我沒有要為難你啦因為實際的簽署那個10天嘛都知道了答案你就我是要用你的嘴巴講出來你不用在那邊我沒有的我是來跟你亂談聊天的嗎不是嘛10天萬一有地緣衝突中共這個校耶來跟你圍台的時候他如果給你封鎖海運那你怎麼辦 |
| transcript.whisperx[7].start |
146.761 |
| transcript.whisperx[7].end |
152.438 |
| transcript.whisperx[7].text |
需要問這個問題就是跟你講說10天的存量以及這個方式恐怕是有問題的 |
| transcript.whisperx[8].start |
153.513 |
| transcript.whisperx[8].end |
176.229 |
| transcript.whisperx[8].text |
我認為有一個很重要的觀點要請中油跟台電要想辦法建立LEG船隊啦台灣的LEG船隊因為地緣衝突的時候如果海域封鎖中國其他封鎖你周遭海域的時候中共如果這樣幹啦其他國家的船隊LEG船嗎不敢靠近嘛 |
| transcript.whisperx[9].start |
177.049 |
| transcript.whisperx[9].end |
192.762 |
| transcript.whisperx[9].text |
他不必要冒著這麼大的風險但是如果是台灣的船台灣的船隊他就必須要冒這個風險克服這個風險來嘛來運嘛 對不對所以你站不站成說應該要去建立LEG船隊呢 |
| transcript.whisperx[10].start |
193.402 |
| transcript.whisperx[10].end |
219.975 |
| transcript.whisperx[10].text |
是 我們應該是要這樣來保障我們的天然氣的運出那如果你同意這個方向不知道部長同不同意 不知道院同不同意如果院同意 部長同意的話是不是要請台電跟中油要往這方向來著想這個離真正建立還很遠啦是不是你很肯定說是喔那我不知道你們工部長或是卓院長會不會是跟你一樣的答案 |
| transcript.whisperx[11].start |
221.962 |
| transcript.whisperx[11].end |
246.057 |
| transcript.whisperx[11].text |
我想這個整個跟台灣的天然氣運存量的一個保障其實我們如果有自己的SNG的船隊的話我覺得這個會比較有一個保障的一個運存的部分那如果這樣的話就要想說要如何去建立台灣的船隊第一個台灣的船員 台灣的船長 台灣這些 |
| transcript.whisperx[12].start |
250.32 |
| transcript.whisperx[12].end |
267.072 |
| transcript.whisperx[12].text |
訓練要成長不然我們現在台灣其實台灣雖然有很多海專但是這個船員現在當船員的人很少這一方面要培養第二個你的運不要再由賣方把你運到台灣來因為其實運費是哪一個船對來都差不多的 |
| transcript.whisperx[13].start |
268.198 |
| transcript.whisperx[13].end |
278.637 |
| transcript.whisperx[13].text |
你只是把它運費加到賣方還是由買方來運的問題所以是你契約要怎麼定的問題不然你現在中油跟台電他們公司的資本額弄不起這個船隊啦 |
| transcript.whisperx[14].start |
279.69 |
| transcript.whisperx[14].end |
298.738 |
| transcript.whisperx[14].text |
那以他們現在的資本額你說要到銀行大量舉借顯然有困難嘛這個銀行是評估嘛我跟你講台灣很多保險公司他大量的資金投資在美國用美債我們每一年為了要避險還要花非常多的成本台灣欠缺投資的環境啦 |
| transcript.whisperx[15].start |
299.912 |
| transcript.whisperx[15].end |
315.093 |
| transcript.whisperx[15].text |
如果政府來主導建立船隊讓這些大筆的資金投資在公共巡社公共運輸上面建立船隊上面這是不是一個可行的方向你們去想一想這樣也可以省掉很多避險的成本 |
| transcript.whisperx[16].start |
318.049 |
| transcript.whisperx[16].end |
327.764 |
| transcript.whisperx[16].text |
這是一個方向我提供給你們你們大家來思考看看台灣真的必須要建立自己的船隊否則的話對我們的國安問題是存在著挑戰的謝謝謝謝委員接下來我們請賴世保委員 |