IVOD_ID |
163845 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163845 |
日期 |
2025-10-08 |
會議資料.會議代碼 |
聯席會議-11-4-20,15,35,19,22,26-1 |
會議資料.會議代碼:str |
第11屆第4會期財政、內政、外交及國防、經濟、教育及文化、社會福利及衛生環境委員會第1次聯席會議 |
會議資料.屆 |
11 |
會議資料.會期 |
4 |
會議資料.會次 |
1 |
會議資料.種類 |
聯席會議 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼[1] |
15 |
會議資料.委員會代碼[2] |
35 |
會議資料.委員會代碼[3] |
19 |
會議資料.委員會代碼[4] |
22 |
會議資料.委員會代碼[5] |
26 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.委員會代碼:str[1] |
內政委員會 |
會議資料.委員會代碼:str[2] |
外交及國防委員會 |
會議資料.委員會代碼:str[3] |
經濟委員會 |
會議資料.委員會代碼:str[4] |
教育及文化委員會 |
會議資料.委員會代碼:str[5] |
社會福利及衛生環境委員會 |
會議資料.標題 |
第11屆第4會期財政、內政、外交及國防、經濟、教育及文化、社會福利及衛生環境委員會第1次聯席會議 |
影片種類 |
Clip |
開始時間 |
2025-10-08T09:54:18+08:00 |
結束時間 |
2025-10-08T10:00:20+08:00 |
影片長度 |
00:06:02 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f0233cd0619a8ff0acbfbb9492b089922b1f00580874b155522ce05ac16c04000e387cb43fa062b25ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
郭國文 |
委員發言時間 |
09:54:18 - 10:00:20 |
會議時間 |
2025-10-08T09:00:00+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、社會福利及衛生環境委員會第1次聯席會議(事由:審查行政院函請審議「中央政府因應國際情勢強化經濟社會及民生國安韌性特別預算案(114年度至116年度)」【詢答及處理,預算提案於10月8日上午10時截止收件】【10月8日及9日兩天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_03 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
2.07284375 |
transcript.pyannote[1].speaker |
SPEAKER_03 |
transcript.pyannote[1].start |
2.54534375 |
transcript.pyannote[1].end |
4.03034375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
2.64659375 |
transcript.pyannote[2].end |
3.69284375 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
4.95846875 |
transcript.pyannote[3].end |
6.51096875 |
transcript.pyannote[4].speaker |
SPEAKER_03 |
transcript.pyannote[4].start |
7.33784375 |
transcript.pyannote[4].end |
8.16471875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
8.16471875 |
transcript.pyannote[5].end |
8.18159375 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
8.55284375 |
transcript.pyannote[6].end |
9.49784375 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
9.49784375 |
transcript.pyannote[7].end |
9.51471875 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
10.64534375 |
transcript.pyannote[8].end |
61.72596875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
62.29971875 |
transcript.pyannote[9].end |
67.41284375 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
66.80534375 |
transcript.pyannote[10].end |
69.77534375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
68.59409375 |
transcript.pyannote[11].end |
68.94846875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
69.62346875 |
transcript.pyannote[12].end |
74.70284375 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
73.60596875 |
transcript.pyannote[13].end |
75.93471875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
76.03596875 |
transcript.pyannote[14].end |
84.08534375 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
84.08534375 |
transcript.pyannote[15].end |
84.40596875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
84.40596875 |
transcript.pyannote[16].end |
84.43971875 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
84.43971875 |
transcript.pyannote[17].end |
84.59159375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
84.60846875 |
transcript.pyannote[18].end |
86.78534375 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
85.14846875 |
transcript.pyannote[19].end |
92.15159375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
87.89909375 |
transcript.pyannote[20].end |
89.26596875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
92.15159375 |
transcript.pyannote[21].end |
92.80971875 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
92.28659375 |
transcript.pyannote[22].end |
95.23971875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
94.48034375 |
transcript.pyannote[23].end |
101.46659375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
101.48346875 |
transcript.pyannote[24].end |
101.53409375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
101.80409375 |
transcript.pyannote[25].end |
107.18721875 |
transcript.pyannote[26].speaker |
SPEAKER_03 |
transcript.pyannote[26].start |
106.14096875 |
transcript.pyannote[26].end |
108.04784375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
108.04784375 |
transcript.pyannote[27].end |
109.90409375 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
108.53721875 |
transcript.pyannote[28].end |
110.02221875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
110.37659375 |
transcript.pyannote[29].end |
110.44409375 |
transcript.pyannote[30].speaker |
SPEAKER_03 |
transcript.pyannote[30].start |
110.44409375 |
transcript.pyannote[30].end |
122.00346875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
122.00346875 |
transcript.pyannote[31].end |
122.02034375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
122.59409375 |
transcript.pyannote[32].end |
131.13284375 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
130.35659375 |
transcript.pyannote[33].end |
134.86221875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
135.53721875 |
transcript.pyannote[34].end |
141.57846875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
141.83159375 |
transcript.pyannote[35].end |
143.29971875 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
142.16909375 |
transcript.pyannote[36].end |
148.07534375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
147.75471875 |
transcript.pyannote[37].end |
150.35346875 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
150.35346875 |
transcript.pyannote[38].end |
152.27721875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
153.23909375 |
transcript.pyannote[39].end |
154.38659375 |
transcript.pyannote[40].speaker |
SPEAKER_03 |
transcript.pyannote[40].start |
154.38659375 |
transcript.pyannote[40].end |
159.44909375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
159.82034375 |
transcript.pyannote[41].end |
162.13221875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
162.23346875 |
transcript.pyannote[42].end |
165.54096875 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
165.91221875 |
transcript.pyannote[43].end |
167.49846875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
166.14846875 |
transcript.pyannote[44].end |
167.16096875 |
transcript.pyannote[45].speaker |
SPEAKER_03 |
transcript.pyannote[45].start |
167.66721875 |
transcript.pyannote[45].end |
168.89909375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
169.16909375 |
transcript.pyannote[46].end |
171.80159375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
172.15596875 |
transcript.pyannote[47].end |
172.24034375 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
172.24034375 |
transcript.pyannote[48].end |
172.54409375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
172.25721875 |
transcript.pyannote[49].end |
172.35846875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
172.54409375 |
transcript.pyannote[50].end |
172.56096875 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
172.56096875 |
transcript.pyannote[51].end |
172.59471875 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
173.52284375 |
transcript.pyannote[52].end |
178.78784375 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
179.41221875 |
transcript.pyannote[53].end |
180.18846875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
180.66096875 |
transcript.pyannote[54].end |
187.41096875 |
transcript.pyannote[55].speaker |
SPEAKER_03 |
transcript.pyannote[55].start |
186.07784375 |
transcript.pyannote[55].end |
189.55409375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
189.80721875 |
transcript.pyannote[56].end |
190.53284375 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
190.71846875 |
transcript.pyannote[57].end |
192.16971875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
194.38034375 |
transcript.pyannote[58].end |
195.51096875 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
195.71346875 |
transcript.pyannote[59].end |
205.63596875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
196.75971875 |
transcript.pyannote[60].end |
197.08034375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
200.59034375 |
transcript.pyannote[61].end |
201.26534375 |
transcript.pyannote[62].speaker |
SPEAKER_03 |
transcript.pyannote[62].start |
206.07471875 |
transcript.pyannote[62].end |
225.24471875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
213.90471875 |
transcript.pyannote[63].end |
214.14096875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
222.46034375 |
transcript.pyannote[64].end |
223.77659375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
224.87346875 |
transcript.pyannote[65].end |
225.17721875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
225.24471875 |
transcript.pyannote[66].end |
230.37471875 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
225.58221875 |
transcript.pyannote[67].end |
225.76784375 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
228.85596875 |
transcript.pyannote[68].end |
229.61534375 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
230.37471875 |
transcript.pyannote[69].end |
230.77971875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
230.39159375 |
transcript.pyannote[70].end |
231.53909375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
231.92721875 |
transcript.pyannote[71].end |
233.51346875 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
232.87221875 |
transcript.pyannote[72].end |
237.25971875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
237.24284375 |
transcript.pyannote[73].end |
241.10721875 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
239.41971875 |
transcript.pyannote[74].end |
239.95971875 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
240.06096875 |
transcript.pyannote[75].end |
246.60846875 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
247.85721875 |
transcript.pyannote[76].end |
292.45784375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
291.93471875 |
transcript.pyannote[77].end |
297.52034375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
297.90846875 |
transcript.pyannote[78].end |
310.19346875 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
300.92909375 |
transcript.pyannote[79].end |
301.94159375 |
transcript.pyannote[80].speaker |
SPEAKER_03 |
transcript.pyannote[80].start |
302.24534375 |
transcript.pyannote[80].end |
302.54909375 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
305.11409375 |
transcript.pyannote[81].end |
305.19846875 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
307.05471875 |
transcript.pyannote[82].end |
307.10534375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
308.03346875 |
transcript.pyannote[83].end |
308.08409375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
311.20596875 |
transcript.pyannote[84].end |
320.65596875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
313.99034375 |
transcript.pyannote[85].end |
314.00721875 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
314.00721875 |
transcript.pyannote[86].end |
314.27721875 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
319.50846875 |
transcript.pyannote[87].end |
343.08284375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
322.02284375 |
transcript.pyannote[88].end |
322.66409375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
323.92971875 |
transcript.pyannote[89].end |
326.42721875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
326.42721875 |
transcript.pyannote[90].end |
326.64659375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
328.75596875 |
transcript.pyannote[91].end |
328.82346875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
328.82346875 |
transcript.pyannote[92].end |
328.97534375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
328.97534375 |
transcript.pyannote[93].end |
329.07659375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
333.00846875 |
transcript.pyannote[94].end |
335.97846875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
338.54346875 |
transcript.pyannote[95].end |
339.03284375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
339.06659375 |
transcript.pyannote[96].end |
339.89346875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
340.63596875 |
transcript.pyannote[97].end |
341.15909375 |
transcript.pyannote[98].speaker |
SPEAKER_03 |
transcript.pyannote[98].start |
343.16721875 |
transcript.pyannote[98].end |
346.84596875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
344.09534375 |
transcript.pyannote[99].end |
344.63534375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
345.96846875 |
transcript.pyannote[100].end |
347.87534375 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
346.84596875 |
transcript.pyannote[101].end |
348.83721875 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
347.87534375 |
transcript.pyannote[102].end |
347.89221875 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
348.61784375 |
transcript.pyannote[103].end |
348.63471875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
348.63471875 |
transcript.pyannote[104].end |
350.54159375 |
transcript.pyannote[105].speaker |
SPEAKER_03 |
transcript.pyannote[105].start |
348.83721875 |
transcript.pyannote[105].end |
348.90471875 |
transcript.pyannote[106].speaker |
SPEAKER_03 |
transcript.pyannote[106].start |
349.66409375 |
transcript.pyannote[106].end |
349.69784375 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
349.69784375 |
transcript.pyannote[107].end |
352.27971875 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
350.54159375 |
transcript.pyannote[108].end |
350.55846875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
350.55846875 |
transcript.pyannote[109].end |
350.57534375 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
353.79846875 |
transcript.pyannote[110].end |
356.19471875 |
transcript.whisperx[0].start |
0.689 |
transcript.whisperx[0].end |
29.041 |
transcript.whisperx[0].text |
請經濟部鞏部長勞動部陳市長以及農業部陳部長陳部長還有那個鞏部長我們把握時間啦你也知道最近芬蘭能源清潔空氣研究中心公布了一個台灣從俄羅斯進口的這個石油腦的部分高達49億目前全球排名第三今年看起來是排名第一俄羅斯的部分還有包括進口這個煤炭的部分也是第五買家 |
transcript.whisperx[1].start |
29.941 |
transcript.whisperx[1].end |
43.59 |
transcript.whisperx[1].text |
外界開始質疑說台灣是會變成一個戰爭的幫兇從道德面來說是這樣子從這一個經濟面的部分目前川普已經放話說你如果購買俄羅斯原油的國家的話對等關稅會再加 |
transcript.whisperx[2].start |
45.552 |
transcript.whisperx[2].end |
61.226 |
transcript.whisperx[2].text |
印度就是一個很明顯的例子三來國安的一個問題俄羅斯石油腦占台灣的進口量45%的話那俄羅斯是中國最重要的盟友那一旦斷絕這個供應的話那會影響台灣的一個國安問題這件事情那個部長你有沒有掌握你怎麼看怎麼處理 |
transcript.whisperx[3].start |
62.532 |
transcript.whisperx[3].end |
72.495 |
transcript.whisperx[3].text |
報告委員 事實上五二戰爭以後 至少我們國營事業的中油就沒有了這我清楚 國營事業是沒有 但是目前是台塑有台塑的確是有買 我們也跟台塑溝通過了只能道德券收嗎 沒有其他的辦法嗎他的認知是說他有符合G7跟歐盟的相關規範就是一定的金額以下 |
transcript.whisperx[4].start |
84.739 |
transcript.whisperx[4].end |
107.126 |
transcript.whisperx[4].text |
那我們有跟他溝通你站在國家的立場可以這樣子嗎台塑賺走了錢那我們卻承擔整個關稅增加的風險經濟部不是主責關稅的談判之一嗎台塑想就是說如果有明確的因為說老實話歐盟跟G7他怎麼樣執行彼此之間我們有去問過歐盟的相關意見所以說你認為現在沒有風險沒有道德的風險 |
transcript.whisperx[5].start |
110.647 |
transcript.whisperx[5].end |
134.669 |
transcript.whisperx[5].text |
所以我们去这样子的情况底下没有道德的风险最近乌克兰也指控我们有些无人机的零件又是我们处理的我们没有道德的风险没有国安的风险没有经济的风险任何三个都没有现在确定的就是说我们会遵循就是说符合或配合欧盟跟G7所以说欧盟跟G7的标准符合的话我们就没有这个风险你的意思是这样子吗 |
transcript.whisperx[6].start |
135.755 |
transcript.whisperx[6].end |
152.08 |
transcript.whisperx[6].text |
如果據了解啦據了解歐盟可能在明年的時候會講說就不要再買了那如果突然之間川普說要因此而給你增加關稅呢你怎麼承受我們怎麼承受沒有聽到這樣的訊息沒有聽到這樣的訊息沒有聽到這個訊息那有沒有這個可能性 |
transcript.whisperx[7].start |
153.38 |
transcript.whisperx[7].end |
179.723 |
transcript.whisperx[7].text |
我沒有辦法預測沒有辦法預測他就一個潛力在那邊印度就一個潛力在那邊我們只能跟這個我們的民間廠商來做溝通他也願意配合那他願意配合 願意配合怎麼配合法如果歐盟明年說不能買他就不買所以這要承受我們就直接承受等到歐盟明年改變再改變明年改變我們再跟著改變是不是這樣子 |
transcript.whisperx[8].start |
180.717 |
transcript.whisperx[8].end |
191.611 |
transcript.whisperx[8].text |
沒有 現在的情況因為相關的歐盟的規範是符合 可是問題還是停留在一個風險的存在不是嗎你說這三個都沒有風險 |
transcript.whisperx[9].start |
194.417 |
transcript.whisperx[9].end |
213.209 |
transcript.whisperx[9].text |
有 我們有Watch到你有Watch到了我是希望你說你要盡量避免盡量避險的角度我主要跟你Argue的是這個部分要有所作為而另外的部分因為232條款當中一直都針對是半導體的部分可是一般的補助的部分一般的非半導體的部分衝擊非常的大 |
transcript.whisperx[10].start |
213.949 |
transcript.whisperx[10].end |
228.24 |
transcript.whisperx[10].text |
我是提醒部長的部分這個部分應該要有一個特專案的補助而不是只有一般性的只有研發型補助五百萬或者開拓另一市場五百萬而已啦我請部長回去好好的思考一下這個問題好不好那個461基本上大部分是針對傳統性產業因為232還沒有公佈所以這個 |
transcript.whisperx[11].start |
232.023 |
transcript.whisperx[11].end |
245.03 |
transcript.whisperx[11].text |
金額的協助所以說不是一般的不是普及性的而且有專案式的嘛對不對對 是針對我們會專案去輔導我們輔導團會去專案因為這部分衝擊非常的大這是部分衝擊非常的大另外我再請一下那個農業部的那個陳部長部長 |
transcript.whisperx[12].start |
247.871 |
transcript.whisperx[12].end |
253.073 |
transcript.whisperx[12].text |
部長依照我們目前的這個農業的這個逆差的部分高達28億然後你現在又要採買100億我看到可能最大的衝擊可能來自於這個肌肉的部分的可能性會比較大因為肌肉的部分目前所佔的這個市場站在我們的肌肉市場來說的話35%跟50% |
transcript.whisperx[13].start |
268.087 |
transcript.whisperx[13].end |
297.187 |
transcript.whisperx[13].text |
這個部分因為在你這部分預算當中我看到的是你編的大概將近45億的部分在鼓勵開拓美國高端的外銷市場但是去年去美國市場的不過是51億而已然後你居然花了將近45億來做補助出口的部分可是進口的部分的充其的部分這裡頭卻沒有看到部長你是怎麼編這個預算的能不能請你說明一下第一個我跟委員說明就是這次到美國是由業者自己買的買的是主要是 |
transcript.whisperx[14].start |
298.307 |
transcript.whisperx[14].end |
309.417 |
transcript.whisperx[14].text |
飼料用的黃豆玉米小麥從巴西那邊移轉過來這邊所以他不是說會衝擊然後也沒有說要去購買雞肉的部分這個要特別說明第二個部分說因為現在 |
transcript.whisperx[15].start |
311.463 |
transcript.whisperx[15].end |
328.434 |
transcript.whisperx[15].text |
進口的部分的這些關稅現在還在談判但是我們現在針對已經知道的這個關稅20%這個部分我們去編列所以進口的部分主要是黃小玉的部分而不是對國內的農業會造成什麼充其但是出口的部分你應該要有所掌握 |
transcript.whisperx[16].start |
328.834 |
transcript.whisperx[16].end |
351.982 |
transcript.whisperx[16].text |
高達45億的補助不應該只有補助到一些貿易商或出口商絕對不會我們是整個供應鏈特別是針對農民的部分出口市場能夠得以開拓的可能性好不好你要自己定一個目標去年才51年現在補助了45億這個比例上太過於45億不會全部是美國啦對啦但是你現在寫的是美國高端市場嘛好不好好 謝謝好 謝謝郭國文委員接下來請蘇巧惠委員發言 |