IVOD_ID |
160268 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160268 |
日期 |
2025-04-16 |
會議資料.會議代碼 |
委員會-11-3-19-9 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第9次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
9 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第3會期經濟委員會第9次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-16T12:52:17+08:00 |
結束時間 |
2025-04-16T13:00:09+08:00 |
影片長度 |
00:07:52 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f9d2e74df98279dff5da019bc6682d54b2710058b23c04f82021fb25ab74fd83de89be31bb10dba25ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
黃健豪 |
委員發言時間 |
12:52:17 - 13:00:09 |
會議時間 |
2025-04-16T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第9次全體委員會議議程(事由:邀請國家發展委員會主任委員、經濟部部長及財政部首長就「因應國際貿易情勢變化,如何協助國內廠商擴大國際市場」進行報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
10.42596875 |
transcript.pyannote[0].end |
12.61971875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
13.15971875 |
transcript.pyannote[1].end |
13.61534375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
22.89659375 |
transcript.pyannote[2].end |
29.79846875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
29.91659375 |
transcript.pyannote[3].end |
46.01534375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
46.23471875 |
transcript.pyannote[4].end |
49.05284375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
49.30596875 |
transcript.pyannote[5].end |
58.21596875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
58.78971875 |
transcript.pyannote[6].end |
79.30971875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
79.69784375 |
transcript.pyannote[7].end |
82.73534375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
83.07284375 |
transcript.pyannote[8].end |
93.53534375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
93.68721875 |
transcript.pyannote[9].end |
95.79659375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
96.16784375 |
transcript.pyannote[10].end |
98.17596875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
98.56409375 |
transcript.pyannote[11].end |
99.15471875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
100.47096875 |
transcript.pyannote[12].end |
101.06159375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
102.51284375 |
transcript.pyannote[13].end |
104.45346875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
105.16221875 |
transcript.pyannote[14].end |
106.34346875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
106.73159375 |
transcript.pyannote[15].end |
108.23346875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
108.23346875 |
transcript.pyannote[16].end |
108.25034375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
108.70596875 |
transcript.pyannote[17].end |
111.55784375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
111.77721875 |
transcript.pyannote[18].end |
114.56159375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
115.25346875 |
transcript.pyannote[19].end |
119.08409375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
119.64096875 |
transcript.pyannote[20].end |
129.04034375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
129.69846875 |
transcript.pyannote[21].end |
138.74346875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
139.03034375 |
transcript.pyannote[22].end |
144.10971875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
144.34596875 |
transcript.pyannote[23].end |
152.22659375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
152.32784375 |
transcript.pyannote[24].end |
163.71846875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
164.46096875 |
transcript.pyannote[25].end |
177.25221875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
177.75846875 |
transcript.pyannote[26].end |
179.00721875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
179.00721875 |
transcript.pyannote[27].end |
180.03659375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
180.96471875 |
transcript.pyannote[28].end |
184.28909375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
184.89659375 |
transcript.pyannote[29].end |
185.70659375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
185.97659375 |
transcript.pyannote[30].end |
189.26721875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
190.17846875 |
transcript.pyannote[31].end |
190.92096875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
191.71409375 |
transcript.pyannote[32].end |
192.96284375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
194.00909375 |
transcript.pyannote[33].end |
204.45471875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
204.65721875 |
transcript.pyannote[34].end |
214.86659375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
215.10284375 |
transcript.pyannote[35].end |
227.21909375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
227.60721875 |
transcript.pyannote[36].end |
239.26784375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
239.40284375 |
transcript.pyannote[37].end |
257.30721875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
257.61096875 |
transcript.pyannote[38].end |
261.03659375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
261.13784375 |
transcript.pyannote[39].end |
273.49034375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
273.87846875 |
transcript.pyannote[40].end |
273.99659375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
273.99659375 |
transcript.pyannote[41].end |
279.37971875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
277.32096875 |
transcript.pyannote[42].end |
277.64159375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
278.80596875 |
transcript.pyannote[43].end |
281.50596875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
281.50596875 |
transcript.pyannote[44].end |
293.89221875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
281.52284375 |
transcript.pyannote[45].end |
281.55659375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
294.34784375 |
transcript.pyannote[46].end |
294.70221875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
294.95534375 |
transcript.pyannote[47].end |
305.92409375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
305.99159375 |
transcript.pyannote[48].end |
306.04221875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
306.05909375 |
transcript.pyannote[49].end |
313.23096875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
313.24784375 |
transcript.pyannote[50].end |
313.26471875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
313.26471875 |
transcript.pyannote[51].end |
320.50409375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
321.01034375 |
transcript.pyannote[52].end |
324.35159375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
324.43596875 |
transcript.pyannote[53].end |
331.03409375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
331.62471875 |
transcript.pyannote[54].end |
344.06159375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
344.23034375 |
transcript.pyannote[55].end |
347.26784375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
347.26784375 |
transcript.pyannote[56].end |
351.28409375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
351.97596875 |
transcript.pyannote[57].end |
356.81909375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
357.12284375 |
transcript.pyannote[58].end |
363.67034375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
364.15971875 |
transcript.pyannote[59].end |
371.29784375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
371.46659375 |
transcript.pyannote[60].end |
377.03534375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
377.54159375 |
transcript.pyannote[61].end |
385.70909375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
385.06784375 |
transcript.pyannote[62].end |
387.41346875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
387.70034375 |
transcript.pyannote[63].end |
391.02471875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
391.02471875 |
transcript.pyannote[64].end |
391.32846875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
391.32846875 |
transcript.pyannote[65].end |
397.53846875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
398.07846875 |
transcript.pyannote[66].end |
401.72346875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
400.47471875 |
transcript.pyannote[67].end |
400.50846875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
401.95971875 |
transcript.pyannote[68].end |
404.35596875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
404.50784375 |
transcript.pyannote[69].end |
408.38909375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
409.04721875 |
transcript.pyannote[70].end |
410.17784375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
410.54909375 |
transcript.pyannote[71].end |
412.77659375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
412.89471875 |
transcript.pyannote[72].end |
415.34159375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
415.37534375 |
transcript.pyannote[73].end |
422.71596875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
423.54284375 |
transcript.pyannote[74].end |
427.91346875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
428.08221875 |
transcript.pyannote[75].end |
428.89221875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
429.43221875 |
transcript.pyannote[76].end |
432.28409375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
432.45284375 |
transcript.pyannote[77].end |
438.54471875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
437.95409375 |
transcript.pyannote[78].end |
440.29971875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
440.43471875 |
transcript.pyannote[79].end |
446.15534375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
446.84721875 |
transcript.pyannote[80].end |
453.51284375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
447.04971875 |
transcript.pyannote[81].end |
448.18034375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
454.42409375 |
transcript.pyannote[82].end |
458.77784375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
458.86221875 |
transcript.pyannote[83].end |
460.12784375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
460.46534375 |
transcript.pyannote[84].end |
460.65096875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
461.08971875 |
transcript.pyannote[85].end |
461.76471875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
462.05159375 |
transcript.pyannote[86].end |
463.40159375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
463.78971875 |
transcript.pyannote[87].end |
464.36346875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
464.93721875 |
transcript.pyannote[88].end |
465.20721875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
465.67971875 |
transcript.pyannote[89].end |
466.74284375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
466.84409375 |
transcript.pyannote[90].end |
468.61596875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
468.49784375 |
transcript.pyannote[91].end |
469.44284375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
469.61159375 |
transcript.pyannote[92].end |
470.42159375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
470.42159375 |
transcript.pyannote[93].end |
471.75471875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
472.19346875 |
transcript.pyannote[94].end |
472.96971875 |
transcript.whisperx[0].start |
10.458 |
transcript.whisperx[0].end |
12.329 |
transcript.whisperx[0].text |
好 謝謝主席 主席我們請經濟部郭部長郭部長 |
transcript.whisperx[1].start |
23.611 |
transcript.whisperx[1].end |
45.63 |
transcript.whisperx[1].text |
部長好 部長辛苦了部長 今天的報告裡面你們也提到說針對貿易政策 關稅政策台灣的機械 工具機 手工具這些產業的成本增加影響獲利所以對這些產業的衝擊會比較明顯我想以台中為例台中今天市長也特別講說台中一些傳統產業是重災區希望政府能特別多幫忙 |
transcript.whisperx[2].start |
46.391 |
transcript.whisperx[2].end |
70.901 |
transcript.whisperx[2].text |
那台中也盤點了幾項六大產業包含說手工具、工具機、自行車光電面板、新屬製品和航太那這些就業人口就業的這個狀況我想可以看到數據上來講的話確實在這六大產業裡面中部或台中整個中部地區來講它的影響面它的占比是非常非常高的而它的就業人口也高達這個24萬左右24萬多左右這個數據我想是各單位統一出來的數據那對這樣的衝擊我不知道經濟部會員 |
transcript.whisperx[3].start |
74.923 |
transcript.whisperx[3].end |
76.044 |
transcript.whisperx[3].text |
我們到台中都不止一次啦 |
transcript.whisperx[4].start |
105.219 |
transcript.whisperx[4].end |
128.861 |
transcript.whisperx[4].text |
我陪總統就去一次上週五去一次吧總統去一次在總統之前我們這個產業發展署中小企業署都跟業者多方面的去談過這個談完了以後我們當然在這個有一些措施推出來但是看起來我們之前推的 |
transcript.whisperx[5].start |
129.738 |
transcript.whisperx[5].end |
153.988 |
transcript.whisperx[5].text |
本來要公告的因為跟這個座談以後發現有一些微調的不一樣所以我們一直在修正像這個工具區、手工區這一些廠商來講他們現在這個並不是說缺單或者是缺工並不是這樣但是反而是大家急著要把他的這個單子提高嘛 |
transcript.whisperx[6].start |
155.308 |
transcript.whisperx[6].end |
175.666 |
transcript.whisperx[6].text |
接下來找的是說船旗可能找不到船要我們政府協助他安排這個船旗可以快速的讓他送到美國去我想這些等等因為這個需求有做很大的改變但是對經濟部來講服務廠商這個就是唯一的任務所以我們會動態的調整我們的工作來 部長 |
transcript.whisperx[7].start |
181.041 |
transcript.whisperx[7].end |
192.526 |
transcript.whisperx[7].text |
其實座談的過程我不確定這個消息有沒有正確傳達就是說這一次當然經濟部也好或行政也好整體的這個方案很多是在拯救或是補助 |
transcript.whisperx[8].start |
194.299 |
transcript.whisperx[8].end |
214.608 |
transcript.whisperx[8].text |
對美直接有對美關係的貿易額的這些廠商但是其實包含說這兩天我想這個報紙中央社有一個報導是指這個像我們在法國在歐洲的這個世界台商總會長蔡國泰他也提到其實像台中很多這些機械產業它的主要出口國確實不是美國但它很多出口 |
transcript.whisperx[9].start |
215.248 |
transcript.whisperx[9].end |
238.297 |
transcript.whisperx[9].text |
到歐洲去或到其他國家去它的終端消費市場它依舊是在美國所以這些終端消費市場在美國的國家它的確不是直接出口到美國去的它的占比沒那麼高沒錯但它最後的送到國外去組裝然後再賣美國的這批廠商其實也受到影響那我要問的是說這批廠商有沒有在你們的這個清單裡面還是這個東西沒有在目前的這個盤點裡面 |
transcript.whisperx[10].start |
239.628 |
transcript.whisperx[10].end |
260.545 |
transcript.whisperx[10].text |
如果說他需要申請補助我們基本上是從寬從減從速啦所以過去的一些條款譬如說他有衰退啊跡象我們才給補助事實上這次都沒有都拿掉把這些這個條件我們都是寬裕的來認定那中小微的企業如果他是企業比較小 |
transcript.whisperx[11].start |
261.286 |
transcript.whisperx[11].end |
281.264 |
transcript.whisperx[11].text |
那麼如果有一些資料佐證他確實有從事這個出口的這個工作或者是說他上他交給的那個客戶本身就是蘇美的這些廠商的話那在這方面我們都認定是可以所以最終只要能夠提出最終消費市場他是在美國的話他會在這一波的那個他就拿那個訂單出來看我們就可以知道 |
transcript.whisperx[12].start |
281.564 |
transcript.whisperx[12].end |
291.38 |
transcript.whisperx[12].text |
另外部長還有一個問題就是說因為現在是我們現在談的都是台灣跟美國之間的關係那問題是說像我剛剛提到以歐洲為例他們跟中國大陸之間並沒有這種目前並沒有產生這種關稅之戰 |
transcript.whisperx[13].start |
294.417 |
transcript.whisperx[13].end |
319.96 |
transcript.whisperx[13].text |
那很大一些廠商擔心什麼就是我們的產品現在像歐洲是沒問題的但是如果在這段期間如果假設歐洲跟中國之間中國把這個所謂的不能銷美國的產品他不去賣美國他反而賣去歐洲做傾銷的話對於台廠也會產生衝擊這部分的話我們今天不知道怎麼面對這個事情我們當然有把這個考慮進去啦這個外溢效用那當然一樣廠商面對的問題我們就幫他解決 |
transcript.whisperx[14].start |
321.261 |
transcript.whisperx[14].end |
330.349 |
transcript.whisperx[14].text |
他如果是我們一樣就是幫他先紓困有必要的紓困第二個就是在短期裡面我們幫他找新的訂單 |
transcript.whisperx[15].start |
331.667 |
transcript.whisperx[15].end |
351.099 |
transcript.whisperx[15].text |
我們幫他找新訂單所以他們在外面的展覽啊或者是我們找國外的廠商國外的buyer來台灣買東西我剛才在那個報告上面也有講所以我們是盡量來這個協助讓他們取得新的訂單部長很高興你提到這個協助找訂單啊但我要先確認一個事情就是說 |
transcript.whisperx[16].start |
352.401 |
transcript.whisperx[16].end |
367.578 |
transcript.whisperx[16].text |
幫台灣這些廠商往海外找訂單或拓展、拓銷等等這部分是鼓勵用貸款的方式還是到時候政府會有一個專案來補助這些廠商他們出國去歐洲以後去其他第三世界的國家也好其他消費市場去做相關的這個推廣還是說 |
transcript.whisperx[17].start |
368.739 |
transcript.whisperx[17].end |
397.246 |
transcript.whisperx[17].text |
是由貸款的方式來處理這個部分因為在過去第一波你們公布的方案裡面似乎是用貸款的方式但是我現在問的是說經過這個一兩個週討論之後補助方案或是說鼓勵這些廠商出國的方案還是用貸款的方式呢還是政府會有一個專案讓大家找到對的市場我們過去是用補助的方案嘛那很多的廠商認為說補助金額太少嘛對所以我們現在大概會改變這樣的一個方式啦就是說我們打台灣一個品牌 |
transcript.whisperx[18].start |
398.146 |
transcript.whisperx[18].end |
408.205 |
transcript.whisperx[18].text |
那聯合出展台灣一個品牌那這樣子可以增加它的效果第二個廠商也不需要花那麼高的成本 |
transcript.whisperx[19].start |
409.233 |
transcript.whisperx[19].end |
428.802 |
transcript.whisperx[19].text |
那我們政府會完全來支持來協助他們到國外出戰好謝謝最後一個問題這個時間到了最後一個問題之前提到這個中小微企業你們的貸款利率是2.22那我不知道2.22其實應該很多民眾很多廠商在座談裡面也有點反應了2.22其實就是正常啦 |
transcript.whisperx[20].start |
429.585 |
transcript.whisperx[20].end |
447.794 |
transcript.whisperx[20].text |
這沒有感受到政府的誠意跟幫助啊如果真的是遇到困難的廠商你們的利率2.22%還是這個數字嗎還是有機會要往下降因為這個我們有利息補貼啦我們有利息補貼2.22%嗎還是2.2%嗎我們舉例子新青安當初這個新青安是1.6% 1.8%我們買房就便宜報告委員我們貸款在250萬以內補貼1.5%大概為期六個月 |
transcript.whisperx[21].start |
454.465 |
transcript.whisperx[21].end |
469.698 |
transcript.whisperx[21].text |
再加上是多少如果這樣算的話他們廠商的貸款利率大概可以降到多少2.2減1.5啊好所以就是0.7啦是不是這樣子六個月內是那六個月之後呢還是要看到時候經濟狀況來決定再看看狀況好謝謝部長來謝謝謝謝委員好謝謝 |