| IVOD_ID |
152770 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/152770 |
| 日期 |
2024-05-22 |
| 會議資料.會議代碼 |
聯席會議-11-1-19,26,22-1 |
| 會議資料.會議代碼:str |
第11屆第1會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
1 |
| 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] |
19 |
| 會議資料.委員會代碼[1] |
26 |
| 會議資料.委員會代碼[2] |
22 |
| 會議資料.委員會代碼:str[0] |
經濟委員會 |
| 會議資料.委員會代碼:str[1] |
社會福利及衛生環境委員會 |
| 會議資料.委員會代碼:str[2] |
教育及文化委員會 |
| 會議資料.標題 |
立法院第11屆第1會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議 |
| 影片種類 |
Clip |
| 開始時間 |
2024-05-22T10:12:51+08:00 |
| 結束時間 |
2024-05-22T10:20:56+08:00 |
| 影片長度 |
00:08:05 |
| 支援功能[0] |
ai-transcript |
| 支援功能[1] |
gazette |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ec526bb9f1bdce9d512ea0431dfe5a893a3b62c5cf6e8dc13b43bbf2d64d2017a4e05d326017d4515ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鄭天財Sra Kacaw |
| 委員發言時間 |
10:12:51 - 10:20:56 |
| 會議時間 |
2024-05-22T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第1會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議（事由：審查：
一、本院委員羅美玲等20人擬具「外國專業人才延攬及僱用法第十四條條文修正草案」案。
二、本院委員王定宇等16人擬具「外國專業人才延攬及僱用法增訂第二十一條之一條文草案」案。
三、本院委員邱志偉等20人擬具「外國專業人才延攬及僱用法第十二條條文修正草案」案。
四、本院委員邱議瑩等19人擬具「外國專業人才延攬及僱用法第十四條條文修正草案」案。
(第四案如經復議，則不予審查）。） |
| gazette.lineno |
470 |
| gazette.blocks[0][0] |
鄭天財Sra Kacaw委員：（10時13分）主席、各位委員，有請副主委。 |
| gazette.blocks[1][0] |
主席：來，請副主委。 |
| gazette.blocks[2][0] |
高副主任委員仙桂：委員早。 |
| gazette.blocks[3][0] |
鄭天財Sra Kacaw委員：副主委好。按照你剛才的答詢，你絕對不會有藐視國會，因為立法院職權行使法本來就有規定不能反質詢，也不能虛偽的答復，所以尤其是公務員都不會，不要擔心。會發生這種事情，大概是極少數，以我30年公務員、4屆立法委員的經驗，應該是極少數的才會發生這種事情，不用擔心。 |
| gazette.blocks[3][1] |
今天的議題──外國專業人才延攬及僱用法，根據內政部的報告，到110年10月25號修正施行外國專業人才延攬及僱用法，外國專業人才申請永久居留案件共1,969人，勞動部擬取消僑外生評點制配額上限，然後擴大進用僑外生相關的這些，到113年已經提高至7,000人，人數一直在成長。國發會的報告提到，截至今年3月底止，外國專業人才有效許可人數是5萬6,427人，所以這個部分我要建議的是，因為這些專業人才是不是跟我們臺灣……我們臺灣的教育也非常棒啊！對不對？我們現在臺灣的年輕人就學，學校也培養出很多的專業人才。如果我們這一方面的專業人才不足，某個企業、某些企業跟教育部或是相關的學校、大學要怎麼樣去促進，因為畢竟還是要以本國的人才為優先，所以這個部分需要審慎地去評估、去因應，以今天的這些提案，副主委，你認為…… |
| gazette.blocks[4][0] |
高副主任委員仙桂：好，我想就像委員所說的，因為現在每個國家都跟臺灣一樣發生人才短缺、人力短缺的問題，我們當然希望是培養本土的優秀人才優先，所以大家可以看到，不管是我們的高教或是我們有一些特別條例、半導體學院等等，都是在全力培養國內的一些高階人才。 |
| gazette.blocks[4][1] |
當然國內人才因為我們人口結構的關係，還是會不足，那不足的話，我們就希望從國外去引進，現在國外引進的方式裡面，第一個是我們建立一個專法，就是高階的技術人力；第二個，其實剛才有講到的，我們有一個僑外生留臺的評點制度，我們希望大量的吸引海外的、國外的學生來臺灣就讀。就讀完了以後，他既然用了我們的資源，也熟悉我們的語言跟文化，他就可以留下來。目前這個制度已經放寬到副學士以上都可以申請，而且績效其實還蠻不錯的，現在畢業的學士生幾乎有一半會留在臺灣，來補充我們需要的專業人力。 |
| gazette.blocks[5][0] |
鄭天財Sra Kacaw委員：我的建議是按照我剛才的陳述，你也認同嘛！ |
| gazette.blocks[6][0] |
高副主任委員仙桂：對。 |
| gazette.blocks[7][0] |
鄭天財Sra Kacaw委員：所以我們臺灣這些專業人才的培育，跟我們企業的需求，怎麼樣共同的去推動，如果仍有不足，才去考量這些，所以一定要去做審慎的評估。 |
| gazette.blocks[8][0] |
高副主任委員仙桂：是，沒有錯。 |
| gazette.blocks[9][0] |
鄭天財Sra Kacaw委員：當然，剛才副主委你也提到了臺灣少子女化嚴重，整體來看國發會應該要去跟相關的部會，甚至行政院討論，我們對少子女化的因應到底足不足，不只是這樣，我們缺工很多也沒錯，但是怎麼樣去因應這些問題，不能一直一直引進外勞，包括軍人都一樣。 |
| gazette.blocks[10][0] |
高副主任委員仙桂：對，沒錯。 |
| gazette.blocks[11][0] |
鄭天財Sra Kacaw委員：我看到我們現在職業性的志願役軍人都不足，所以少子女化是一個國安的問題，沒有錯，但是怎麼樣去保障現有人員的就業，也是需要審慎的。就像今天勞動部也有來，勞動部一再開放、一再開放，這些倒不是專業人才，是一般的營造移工，開放非常非常的多，有這樣的一個數字，而且影響的當然是我們原住民基層的勞工，當然這個部分不是你的業務，但是應該是整體去考量。 |
| gazette.blocks[12][0] |
高副主任委員仙桂：對，跟委員報告，其實有關於移工，如果是個別行業，那是屬於專案性的引進，就如所說，在進行專案性引進的時候，勞動部其實都會去評估它會不會影響到國內的就業，當然也會評估如果不引進的話，是否可能會影響到整體的經濟成長，經濟成長往下降的時候，其實也會影響到所有業別的勞工啦。所以這個會議裡面其實會有綜合性的評估跟考量，然後會權衡，一定是要對國家整體都會有利益，而且也不會損及到特定的族群啦。 |
| gazette.blocks[13][0] |
鄭天財Sra Kacaw委員：當然這個說來話長，礙於時間的關係，因為這還涉及到我們的薪資啦，因為外勞薪資比較低嘛！ |
| gazette.blocks[14][0] |
高副主任委員仙桂：對，我知道。 |
| gazette.blocks[15][0] |
鄭天財Sra Kacaw委員：所以這個部分是要整體考量，國發會要跟各部會去整體考量的。謝謝。 |
| gazette.blocks[16][0] |
高副主任委員仙桂：是，謝謝委員。 |
| gazette.blocks[17][0] |
主席：謝謝鄭天財委員的發言。 |
| gazette.blocks[17][1] |
主席宣告一下，待會本席質詢結束之後，我們休息5分鐘。 |
| gazette.blocks[17][2] |
請呂玉玲委員發言。 |
| gazette.agenda.page_end |
76 |
| gazette.agenda.meet_id |
聯席會議-11-1-19,26,22-1 |
| gazette.agenda.speakers[0] |
邱議瑩 |
| gazette.agenda.speakers[1] |
王定宇 |
| gazette.agenda.speakers[2] |
羅美玲 |
| gazette.agenda.speakers[3] |
陳亭妃 |
| gazette.agenda.speakers[4] |
林岱樺 |
| gazette.agenda.speakers[5] |
邱志偉 |
| gazette.agenda.speakers[6] |
楊瓊瓔 |
| gazette.agenda.speakers[7] |
萬美玲 |
| gazette.agenda.speakers[8] |
賴瑞隆 |
| gazette.agenda.speakers[9] |
鄭天財Sra Kacaw |
| gazette.agenda.speakers[10] |
呂玉玲 |
| gazette.agenda.speakers[11] |
陳菁徽 |
| gazette.agenda.speakers[12] |
葛如鈞 |
| gazette.agenda.speakers[13] |
謝衣鳯 |
| gazette.agenda.speakers[14] |
林宜瑾 |
| gazette.agenda.speakers[15] |
陳秀寳 |
| gazette.agenda.speakers[16] |
張啓楷 |
| gazette.agenda.speakers[17] |
林月琴 |
| gazette.agenda.speakers[18] |
洪孟楷 |
| gazette.agenda.speakers[19] |
黃秀芳 |
| gazette.agenda.speakers[20] |
陳培瑜 |
| gazette.agenda.speakers[21] |
張雅琳 |
| gazette.agenda.speakers[22] |
郭昱晴 |
| gazette.agenda.speakers[23] |
范雲 |
| gazette.agenda.speakers[24] |
王正旭 |
| gazette.agenda.speakers[25] |
吳沛憶 |
| gazette.agenda.speakers[26] |
徐欣瑩 |
| gazette.agenda.speakers[27] |
蔡易餘 |
| gazette.agenda.speakers[28] |
鄭正鈐 |
| gazette.agenda.speakers[29] |
劉建國 |
| gazette.agenda.speakers[30] |
陳昭姿 |
| gazette.agenda.speakers[31] |
張嘉郡 |
| gazette.agenda.speakers[32] |
莊瑞雄 |
| gazette.agenda.speakers[33] |
盧縣一 |
| gazette.agenda.speakers[34] |
邱鎮軍 |
| gazette.agenda.speakers[35] |
蘇清泉 |
| gazette.agenda.speakers[36] |
林淑芬 |
| gazette.agenda.speakers[37] |
陳超明 |
| gazette.agenda.speakers[38] |
廖偉翔 |
| gazette.agenda.speakers[39] |
羅廷瑋 |
| gazette.agenda.page_start |
1 |
| gazette.agenda.meetingDate[0] |
2024-05-22 |
| gazette.agenda.gazette_id |
1134901 |
| gazette.agenda.agenda_lcidc_ids[0] |
1134901_00002 |
| gazette.agenda.meet_name |
立法院第11屆第1會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議紀錄 |
| gazette.agenda.content |
審查：一、本院委員羅美玲等 20 人擬具「外國專業人才延攬及僱用法第十四條條文修正草案」
案；二、本院委員王定宇等 16 人擬具「外國專業人才延攬及僱用法增訂第二十一條之一條文草
案」案；三、本院委員邱志偉等20人擬具「外國專業人才延攬及僱用法第十二條條文修正草案」
案 |
| gazette.agenda.agenda_id |
1134901_00001 |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
0.75659375 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
3.79409375 |
| transcript.pyannote[1].end |
5.43096875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
12.40034375 |
| transcript.pyannote[2].end |
12.88971875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
12.88971875 |
| transcript.pyannote[3].end |
12.90659375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
12.95721875 |
| transcript.pyannote[4].end |
12.97409375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
17.69909375 |
| transcript.pyannote[5].end |
23.14971875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
19.60596875 |
| transcript.pyannote[6].end |
19.75784375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
21.96846875 |
| transcript.pyannote[7].end |
23.08221875 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
23.14971875 |
| transcript.pyannote[8].end |
23.60534375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
30.10221875 |
| transcript.pyannote[9].end |
30.67596875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
30.67596875 |
| transcript.pyannote[10].end |
30.70971875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
30.76034375 |
| transcript.pyannote[11].end |
32.07659375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
33.02159375 |
| transcript.pyannote[12].end |
35.38409375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
35.89034375 |
| transcript.pyannote[13].end |
39.18096875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
41.32409375 |
| transcript.pyannote[14].end |
42.97784375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
43.78784375 |
| transcript.pyannote[15].end |
55.09409375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
52.93409375 |
| transcript.pyannote[16].end |
53.35596875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
53.65971875 |
| transcript.pyannote[17].end |
53.99721875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
55.56659375 |
| transcript.pyannote[18].end |
60.89909375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
59.11034375 |
| transcript.pyannote[19].end |
59.32971875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
61.79346875 |
| transcript.pyannote[20].end |
62.43471875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
62.70471875 |
| transcript.pyannote[21].end |
68.96534375 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
65.69159375 |
| transcript.pyannote[22].end |
66.07971875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
69.72471875 |
| transcript.pyannote[23].end |
78.55034375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
79.83284375 |
| transcript.pyannote[24].end |
81.89159375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
82.49909375 |
| transcript.pyannote[25].end |
85.84034375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
87.89909375 |
| transcript.pyannote[26].end |
90.83534375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
91.37534375 |
| transcript.pyannote[27].end |
98.42909375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
98.90159375 |
| transcript.pyannote[28].end |
104.33534375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
104.80784375 |
| transcript.pyannote[29].end |
107.10284375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
107.92971875 |
| transcript.pyannote[30].end |
111.49034375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
111.94596875 |
| transcript.pyannote[31].end |
127.85909375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
129.63096875 |
| transcript.pyannote[32].end |
132.87096875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
134.45721875 |
| transcript.pyannote[33].end |
134.98034375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
136.21221875 |
| transcript.pyannote[34].end |
140.32971875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
140.85284375 |
| transcript.pyannote[35].end |
143.38409375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
144.75096875 |
| transcript.pyannote[36].end |
147.07971875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
148.24409375 |
| transcript.pyannote[37].end |
149.37471875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
149.72909375 |
| transcript.pyannote[38].end |
150.53909375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
151.90596875 |
| transcript.pyannote[39].end |
153.20534375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
153.99846875 |
| transcript.pyannote[40].end |
154.94346875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
156.12471875 |
| transcript.pyannote[41].end |
158.52096875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
159.36471875 |
| transcript.pyannote[42].end |
160.88346875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
161.50784375 |
| transcript.pyannote[43].end |
162.41909375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
163.43159375 |
| transcript.pyannote[44].end |
166.28346875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
166.89096875 |
| transcript.pyannote[45].end |
167.34659375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
168.30846875 |
| transcript.pyannote[46].end |
169.11846875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
169.37159375 |
| transcript.pyannote[47].end |
170.65409375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
171.04221875 |
| transcript.pyannote[48].end |
173.92784375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
174.34971875 |
| transcript.pyannote[49].end |
175.93596875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
176.76284375 |
| transcript.pyannote[50].end |
177.69096875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
178.31534375 |
| transcript.pyannote[51].end |
183.86721875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
184.20471875 |
| transcript.pyannote[52].end |
189.41909375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
189.82409375 |
| transcript.pyannote[53].end |
191.64659375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
192.77721875 |
| transcript.pyannote[54].end |
194.56596875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
195.17346875 |
| transcript.pyannote[55].end |
195.52784375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
196.92846875 |
| transcript.pyannote[56].end |
200.11784375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
200.40471875 |
| transcript.pyannote[57].end |
202.14284375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
202.41284375 |
| transcript.pyannote[58].end |
204.26909375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
204.79221875 |
| transcript.pyannote[59].end |
206.14221875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
206.69909375 |
| transcript.pyannote[60].end |
207.76221875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
207.99846875 |
| transcript.pyannote[61].end |
210.25971875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
210.71534375 |
| transcript.pyannote[62].end |
211.30596875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
212.28471875 |
| transcript.pyannote[63].end |
212.87534375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
213.04409375 |
| transcript.pyannote[64].end |
214.24221875 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
213.24659375 |
| transcript.pyannote[65].end |
213.38159375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
214.68096875 |
| transcript.pyannote[66].end |
214.96784375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
214.96784375 |
| transcript.pyannote[67].end |
215.00159375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
215.81159375 |
| transcript.pyannote[68].end |
220.75596875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
221.26221875 |
| transcript.pyannote[69].end |
257.88096875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
258.18471875 |
| transcript.pyannote[70].end |
264.54659375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
264.79971875 |
| transcript.pyannote[71].end |
267.60096875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
268.03971875 |
| transcript.pyannote[72].end |
270.43596875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
270.63846875 |
| transcript.pyannote[73].end |
273.10221875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
274.68846875 |
| transcript.pyannote[74].end |
275.78534375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
276.32534375 |
| transcript.pyannote[75].end |
294.90471875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
295.20846875 |
| transcript.pyannote[76].end |
298.90409375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
299.03909375 |
| transcript.pyannote[77].end |
301.99221875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
302.61659375 |
| transcript.pyannote[78].end |
304.60784375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
305.19846875 |
| transcript.pyannote[79].end |
307.84784375 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
306.49784375 |
| transcript.pyannote[80].end |
307.15596875 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
307.84784375 |
| transcript.pyannote[81].end |
308.11784375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
308.35409375 |
| transcript.pyannote[82].end |
311.15534375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
311.39159375 |
| transcript.pyannote[83].end |
313.19721875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
312.58971875 |
| transcript.pyannote[84].end |
312.97784375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
313.88909375 |
| transcript.pyannote[85].end |
319.76159375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
316.20096875 |
| transcript.pyannote[86].end |
316.69034375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
318.98534375 |
| transcript.pyannote[87].end |
319.37346875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
319.76159375 |
| transcript.pyannote[88].end |
320.21721875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
320.16659375 |
| transcript.pyannote[89].end |
321.82034375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
322.05659375 |
| transcript.pyannote[90].end |
332.19846875 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
322.10721875 |
| transcript.pyannote[91].end |
322.91721875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
323.89596875 |
| transcript.pyannote[92].end |
324.28409375 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
325.31346875 |
| transcript.pyannote[93].end |
326.49471875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
328.45221875 |
| transcript.pyannote[94].end |
329.24534375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
332.55284375 |
| transcript.pyannote[95].end |
334.84784375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
333.70034375 |
| transcript.pyannote[96].end |
334.15596875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
335.43846875 |
| transcript.pyannote[97].end |
336.65346875 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
336.65346875 |
| transcript.pyannote[98].end |
336.99096875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
336.95721875 |
| transcript.pyannote[99].end |
339.75846875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
340.53471875 |
| transcript.pyannote[100].end |
344.33159375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
341.73284375 |
| transcript.pyannote[101].end |
342.23909375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
343.80846875 |
| transcript.pyannote[102].end |
344.43284375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
344.43284375 |
| transcript.pyannote[103].end |
344.46659375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
344.82096875 |
| transcript.pyannote[104].end |
350.84534375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
351.70596875 |
| transcript.pyannote[105].end |
352.36409375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
353.03909375 |
| transcript.pyannote[106].end |
353.96721875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
354.57471875 |
| transcript.pyannote[107].end |
356.38034375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
357.03846875 |
| transcript.pyannote[108].end |
357.86534375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
358.55721875 |
| transcript.pyannote[109].end |
360.80159375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
361.17284375 |
| transcript.pyannote[110].end |
363.45096875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
363.99096875 |
| transcript.pyannote[111].end |
365.56034375 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
365.56034375 |
| transcript.pyannote[112].end |
366.45471875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
366.01596875 |
| transcript.pyannote[113].end |
367.92284375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
368.69909375 |
| transcript.pyannote[114].end |
370.13346875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
370.04909375 |
| transcript.pyannote[115].end |
370.75784375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
370.74096875 |
| transcript.pyannote[116].end |
376.05659375 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
374.72346875 |
| transcript.pyannote[117].end |
376.36034375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
376.78221875 |
| transcript.pyannote[118].end |
384.03846875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
384.32534375 |
| transcript.pyannote[119].end |
390.19784375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
386.65409375 |
| transcript.pyannote[120].end |
387.16034375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
390.55221875 |
| transcript.pyannote[121].end |
394.39971875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
395.07471875 |
| transcript.pyannote[122].end |
396.76221875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
397.25159375 |
| transcript.pyannote[123].end |
397.62284375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
398.23034375 |
| transcript.pyannote[124].end |
408.62534375 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
409.01346875 |
| transcript.pyannote[125].end |
410.36346875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
410.85284375 |
| transcript.pyannote[126].end |
411.51096875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
412.00034375 |
| transcript.pyannote[127].end |
418.71659375 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
419.08784375 |
| transcript.pyannote[128].end |
422.04096875 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
422.73284375 |
| transcript.pyannote[129].end |
425.48346875 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
426.00659375 |
| transcript.pyannote[130].end |
426.54659375 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
426.83346875 |
| transcript.pyannote[131].end |
428.30159375 |
| transcript.pyannote[132].speaker |
SPEAKER_01 |
| transcript.pyannote[132].start |
428.75721875 |
| transcript.pyannote[132].end |
432.21659375 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
432.92534375 |
| transcript.pyannote[133].end |
436.78971875 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
436.90784375 |
| transcript.pyannote[134].end |
437.66721875 |
| transcript.pyannote[135].speaker |
SPEAKER_01 |
| transcript.pyannote[135].start |
437.95409375 |
| transcript.pyannote[135].end |
442.44284375 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
442.69596875 |
| transcript.pyannote[136].end |
447.55596875 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
447.77534375 |
| transcript.pyannote[137].end |
459.80721875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
460.04346875 |
| transcript.pyannote[138].end |
467.72159375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
468.97034375 |
| transcript.pyannote[139].end |
470.01659375 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
470.38784375 |
| transcript.pyannote[140].end |
472.71659375 |
| transcript.pyannote[141].speaker |
SPEAKER_00 |
| transcript.pyannote[141].start |
470.38784375 |
| transcript.pyannote[141].end |
478.58909375 |
| transcript.pyannote[142].speaker |
SPEAKER_01 |
| transcript.pyannote[142].start |
473.74596875 |
| transcript.pyannote[142].end |
474.69096875 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
475.06221875 |
| transcript.pyannote[143].end |
475.88909375 |
| transcript.pyannote[144].speaker |
SPEAKER_01 |
| transcript.pyannote[144].start |
476.73284375 |
| transcript.pyannote[144].end |
477.61034375 |
| transcript.pyannote[145].speaker |
SPEAKER_01 |
| transcript.pyannote[145].start |
477.96471875 |
| transcript.pyannote[145].end |
480.76596875 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
478.99409375 |
| transcript.pyannote[146].end |
480.15846875 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
481.30596875 |
| transcript.pyannote[147].end |
483.98909375 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
485.30534375 |
| transcript.pyannote[148].end |
485.96346875 |
| transcript.whisperx[0].start |
0.309 |
| transcript.whisperx[0].end |
4.172 |
| transcript.whisperx[0].text |
主席、各位委員、有請副組委。 |
| transcript.whisperx[1].start |
30.409 |
| transcript.whisperx[1].end |
35.955 |
| transcript.whisperx[1].text |
委員長副主委好按照你剛才的答詢你絕對不會有這個藐視國會因為這個 |
| transcript.whisperx[2].start |
43.854 |
| transcript.whisperx[2].end |
60.49 |
| transcript.whisperx[2].text |
本來立法院之前刑事法本來就有規定了,不能反質詢,不能反質詢,也不能稀微的答覆,不能稀微的答覆,所以這個尤其是公務員都不會了,都不會,不要擔心。 |
| transcript.whisperx[3].start |
61.84 |
| transcript.whisperx[3].end |
85.467 |
| transcript.whisperx[3].text |
然後會發生這種事情大概是極少數以我在三、四年的公務員的經驗然後這個世界的立法委員的話應該是這種極少數的才會發生這種事情的不用擔心好這個今天的議題外國專業人才延攬及僱用法 |
| transcript.whisperx[4].start |
88.23 |
| transcript.whisperx[4].end |
103.108 |
| transcript.whisperx[4].text |
這根據內政部的報告啊這個到110年10月25號修正施行這個外國專業人才延攬及僱用法外國專業人才申請永久居留案件共1969人然後勞動部這個 |
| transcript.whisperx[5].start |
108.387 |
| transcript.whisperx[5].end |
130.212 |
| transcript.whisperx[5].text |
你取消這個僱外生評點制的配額然後擴大這個禁用僱外生這些相關的這些到113年已經提高至7000人這是這個人數一直在成長那個國發會你的報告這個節制 |
| transcript.whisperx[6].start |
136.263 |
| transcript.whisperx[6].end |
162.28 |
| transcript.whisperx[6].text |
今年三月抵制外國專業人才有效許可56427人。這個部分所以我要建議的是說怎麼樣因為這些專業人才是不是跟我們台灣我們也台灣的教育也非常棒啊 |
| transcript.whisperx[7].start |
163.459 |
| transcript.whisperx[7].end |
191.17 |
| transcript.whisperx[7].text |
對不對我們現在台灣的這個年輕人就學我們的學校然後這個所培養的這些也有很多的專業人才是不是這個如果我們這一方面的專業人才不足某個企業某些企業然後怎麼樣去跟教育部或是跟相關的學校大學怎麼樣去促進 |
| transcript.whisperx[8].start |
193.013 |
| transcript.whisperx[8].end |
213.546 |
| transcript.whisperx[8].text |
因為畢竟還是要以本國的人才為優先所以這個部分是一個需要去審慎的去評估去因應以今天的這些提案副主委你認為 |
| transcript.whisperx[9].start |
216.231 |
| transcript.whisperx[9].end |
243.761 |
| transcript.whisperx[9].text |
我想就像委員所說的啦當然就是因為我們現在每個國家都跟台灣一樣發生人才短缺人力短缺的問題那我們當然希望是培養本土的優秀人才優先啦所以大家可以看到就是不管是我們的高教啊或者是我們有這個那個就有一些特別條例啊半導體學院等等都是在全力培養國內的一些 |
| transcript.whisperx[10].start |
244.241 |
| transcript.whisperx[10].end |
245.421 |
| transcript.whisperx[10].text |
鄭天財Sra Kacaw鄭天財 |
| transcript.whisperx[11].start |
274.721 |
| transcript.whisperx[11].end |
301.353 |
| transcript.whisperx[11].text |
大量的吸引海外的那個國外的學生來台灣就讀就讀完了以後他既然用了我們的資源也熟悉我們的語言跟文化他就可以留下來那目前這個制度其實已經放寬到副學士以上都可以申請而且績效其實還蠻不錯幾乎有現在會畢業的學士生幾乎會有一半會留在台灣這樣子來補充我們需要的專業人力 |
| transcript.whisperx[12].start |
302.657 |
| transcript.whisperx[12].end |
321.488 |
| transcript.whisperx[12].text |
我的建議是說剛才按照我剛才的陳述你也認同所以我們台灣的這些專業人才的培育跟我們企業的需求共同的去推動如果人有不足 |
| transcript.whisperx[13].start |
322.248 |
| transcript.whisperx[13].end |
325.849 |
| transcript.whisperx[13].text |
是。是。是。是。是。是。是。是。是。是。是。是。是。是。是。是。是。是。是。是。是。是。 |
| transcript.whisperx[14].start |
351.798 |
| transcript.whisperx[14].end |
375.92 |
| transcript.whisperx[14].text |
主不主,不只是這樣啊,我們這個很多的這個也切工也沒錯,但是怎麼樣去再因應這些不能一直引進外,包括就能都一樣啊。我看到我們的就能,現在職業性的就能都不足啊。 |
| transcript.whisperx[15].start |
379.324 |
| transcript.whisperx[15].end |
395.942 |
| transcript.whisperx[15].text |
稍指你話是一個國安的問題沒有錯但是怎麼樣去保障現有的人員的就業也是一個需要審慎的就像今天當然勞動部也要來勞動部一再開放一再開放這個 |
| transcript.whisperx[16].start |
398.234 |
| transcript.whisperx[16].end |
400.455 |
| transcript.whisperx[16].text |
則不予審查．則不予審查．則不予審查．則不予審查． |
| transcript.whisperx[17].start |
419.379 |
| transcript.whisperx[17].end |
441.291 |
| transcript.whisperx[17].text |
對跟委員報告其實有關於移工喔如果是個別行業是屬於專案性的引進那就如所說在進行專案性引進的時候勞動部其實都會評估到會不會影響到國內的就業然後當然也會評估到如果我不引進我可能影響到整體的經濟成長那經濟成長往下跌 |
| transcript.whisperx[18].start |
442.812 |
| transcript.whisperx[18].end |
444.053 |
| transcript.whisperx[18].text |
鄭天財Sra Kacaw |
| transcript.whisperx[19].start |
469.088 |
| transcript.whisperx[19].end |
469.448 |
| transcript.whisperx[19].text |
鄭天財委員 |