| IVOD_ID |
159051 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159051 |
| 日期 |
2025-01-15 |
| 會議資料.會議代碼 |
聯席會議-11-2-19,20-1 |
| 會議資料.會議代碼:str |
第11屆第2會期經濟、財政兩委員會第1次聯席會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
2 |
| 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] |
20 |
| 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] |
財政委員會 |
| 會議資料.標題 |
第11屆第2會期經濟、財政兩委員會第1次聯席會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-01-15T09:20:39+08:00 |
| 結束時間 |
2025-01-15T09:27:42+08:00 |
| 影片長度 |
00:07:03 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3b972b8f6f00770fbf5fa84db97a78695a45ebd5c2e75318bbf0a69acbcd9c1c06b5fab5b46a0e585ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
邱議瑩 |
| 委員發言時間 |
09:20:39 - 09:27:42 |
| 會議時間 |
2025-01-15T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第2會期經濟、財政兩委員會第1次聯席會議（事由：審查：
一、行政院函請審議「產業創新條例部分條文修正草案」案。
二、本院委員葛如鈞等16人擬具「產業創新條例第十條之一及第十七條之一條文修正草案」案。
三、本院委員林岱樺等18人擬具「產業創新條例第十條之一及第十七條之一條文修正草案」案。
四、本院委員楊瓊瓔等29人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。
五、本院委員何欣純等23人擬具「產業創新條例第十條之一條文修正草案」案。
六、本院委員邱議瑩等16人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。
七、本院委員蔡其昌等18人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。
八、本院台灣民眾黨黨團擬具「產業創新條例第十條之一條文修正草案」案。
九、本院委員謝衣鳯等16人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。
十、本院委員邱志偉等20人擬具「產業創新條例部分條文修正草案」案。
十一、本院委員鄭正鈐等19人擬具「產業創新條例第十條之一條文修正草案」案。
(第一案及第十一案如未接獲議事處來函，則不予審查)
【1月15日及16日兩天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
0.50346875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
9.68346875 |
| transcript.pyannote[1].end |
12.60284375 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
12.75471875 |
| transcript.pyannote[2].end |
13.93596875 |
| transcript.pyannote[3].speaker |
SPEAKER_02 |
| transcript.pyannote[3].start |
20.83784375 |
| transcript.pyannote[3].end |
21.41159375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
21.41159375 |
| transcript.pyannote[4].end |
24.60096875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
24.61784375 |
| transcript.pyannote[5].end |
24.66846875 |
| transcript.pyannote[6].speaker |
SPEAKER_02 |
| transcript.pyannote[6].start |
24.66846875 |
| transcript.pyannote[6].end |
25.12409375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
26.42346875 |
| transcript.pyannote[7].end |
27.75659375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
28.98846875 |
| transcript.pyannote[8].end |
29.95034375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
31.03034375 |
| transcript.pyannote[9].end |
35.36721875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
35.77221875 |
| transcript.pyannote[10].end |
50.18346875 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
43.53471875 |
| transcript.pyannote[11].end |
44.12534375 |
| transcript.pyannote[12].speaker |
SPEAKER_02 |
| transcript.pyannote[12].start |
49.62659375 |
| transcript.pyannote[12].end |
51.19596875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
51.14534375 |
| transcript.pyannote[13].end |
67.12596875 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
52.14096875 |
| transcript.pyannote[14].end |
52.96784375 |
| transcript.pyannote[15].speaker |
SPEAKER_02 |
| transcript.pyannote[15].start |
53.20409375 |
| transcript.pyannote[15].end |
54.82409375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
67.21034375 |
| transcript.pyannote[16].end |
76.22159375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
72.62721875 |
| transcript.pyannote[17].end |
72.71159375 |
| transcript.pyannote[18].speaker |
SPEAKER_02 |
| transcript.pyannote[18].start |
72.71159375 |
| transcript.pyannote[18].end |
72.96471875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
72.96471875 |
| transcript.pyannote[19].end |
73.23471875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
77.25096875 |
| transcript.pyannote[20].end |
78.28034375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
79.27596875 |
| transcript.pyannote[21].end |
79.59659375 |
| transcript.pyannote[22].speaker |
SPEAKER_02 |
| transcript.pyannote[22].start |
80.11971875 |
| transcript.pyannote[22].end |
107.35596875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
80.62596875 |
| transcript.pyannote[23].end |
80.86221875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
85.58721875 |
| transcript.pyannote[24].end |
85.70534375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
106.83284375 |
| transcript.pyannote[25].end |
111.27096875 |
| transcript.pyannote[26].speaker |
SPEAKER_02 |
| transcript.pyannote[26].start |
108.26721875 |
| transcript.pyannote[26].end |
110.66346875 |
| transcript.pyannote[27].speaker |
SPEAKER_02 |
| transcript.pyannote[27].start |
110.93346875 |
| transcript.pyannote[27].end |
115.72596875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
115.72596875 |
| transcript.pyannote[28].end |
124.87221875 |
| transcript.pyannote[29].speaker |
SPEAKER_02 |
| transcript.pyannote[29].start |
122.49284375 |
| transcript.pyannote[29].end |
122.69534375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
125.76659375 |
| transcript.pyannote[30].end |
131.80784375 |
| transcript.pyannote[31].speaker |
SPEAKER_02 |
| transcript.pyannote[31].start |
130.06971875 |
| transcript.pyannote[31].end |
132.07784375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
131.92596875 |
| transcript.pyannote[32].end |
134.44034375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
134.45721875 |
| transcript.pyannote[33].end |
134.49096875 |
| transcript.pyannote[34].speaker |
SPEAKER_02 |
| transcript.pyannote[34].start |
134.49096875 |
| transcript.pyannote[34].end |
134.79471875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
135.04784375 |
| transcript.pyannote[35].end |
142.43909375 |
| transcript.pyannote[36].speaker |
SPEAKER_02 |
| transcript.pyannote[36].start |
140.90346875 |
| transcript.pyannote[36].end |
144.51471875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
143.43471875 |
| transcript.pyannote[37].end |
150.85971875 |
| transcript.pyannote[38].speaker |
SPEAKER_02 |
| transcript.pyannote[38].start |
147.34971875 |
| transcript.pyannote[38].end |
147.53534375 |
| transcript.pyannote[39].speaker |
SPEAKER_02 |
| transcript.pyannote[39].start |
148.68284375 |
| transcript.pyannote[39].end |
152.51346875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
152.59784375 |
| transcript.pyannote[40].end |
153.05346875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
153.28971875 |
| transcript.pyannote[41].end |
167.11034375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
167.48159375 |
| transcript.pyannote[42].end |
169.59096875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
169.69221875 |
| transcript.pyannote[43].end |
171.49784375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
171.59909375 |
| transcript.pyannote[44].end |
172.62846875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
172.71284375 |
| transcript.pyannote[45].end |
173.03346875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
173.26971875 |
| transcript.pyannote[46].end |
175.02471875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
175.31159375 |
| transcript.pyannote[47].end |
177.55596875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
177.91034375 |
| transcript.pyannote[48].end |
193.84034375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
195.24096875 |
| transcript.pyannote[49].end |
196.21971875 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
196.59096875 |
| transcript.pyannote[50].end |
199.59471875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
198.53159375 |
| transcript.pyannote[51].end |
205.87221875 |
| transcript.pyannote[52].speaker |
SPEAKER_02 |
| transcript.pyannote[52].start |
201.45096875 |
| transcript.pyannote[52].end |
201.80534375 |
| transcript.pyannote[53].speaker |
SPEAKER_02 |
| transcript.pyannote[53].start |
203.64471875 |
| transcript.pyannote[53].end |
204.85971875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
204.85971875 |
| transcript.pyannote[54].end |
204.87659375 |
| transcript.pyannote[55].speaker |
SPEAKER_02 |
| transcript.pyannote[55].start |
204.87659375 |
| transcript.pyannote[55].end |
204.92721875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
207.69471875 |
| transcript.pyannote[56].end |
214.14096875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
214.66409375 |
| transcript.pyannote[57].end |
217.00971875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
217.41471875 |
| transcript.pyannote[58].end |
220.36784375 |
| transcript.pyannote[59].speaker |
SPEAKER_02 |
| transcript.pyannote[59].start |
218.66346875 |
| transcript.pyannote[59].end |
219.94596875 |
| transcript.pyannote[60].speaker |
SPEAKER_02 |
| transcript.pyannote[60].start |
220.36784375 |
| transcript.pyannote[60].end |
227.28659375 |
| transcript.pyannote[61].speaker |
SPEAKER_02 |
| transcript.pyannote[61].start |
227.52284375 |
| transcript.pyannote[61].end |
227.69159375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
227.77596875 |
| transcript.pyannote[62].end |
231.03284375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
231.33659375 |
| transcript.pyannote[63].end |
232.70346875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
235.38659375 |
| transcript.pyannote[64].end |
247.16534375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
238.27221875 |
| transcript.pyannote[65].end |
239.18346875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
247.85721875 |
| transcript.pyannote[66].end |
252.97034375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
252.97034375 |
| transcript.pyannote[67].end |
253.03784375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
253.03784375 |
| transcript.pyannote[68].end |
253.37534375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
253.37534375 |
| transcript.pyannote[69].end |
253.44284375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
253.83096875 |
| transcript.pyannote[70].end |
261.89721875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
261.57659375 |
| transcript.pyannote[71].end |
263.58471875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
261.94784375 |
| transcript.pyannote[72].end |
262.40346875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
263.87159375 |
| transcript.pyannote[73].end |
277.96221875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
265.69409375 |
| transcript.pyannote[74].end |
266.41971875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
267.29721875 |
| transcript.pyannote[75].end |
268.27596875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
277.96221875 |
| transcript.pyannote[76].end |
277.99596875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
277.99596875 |
| transcript.pyannote[77].end |
278.04659375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
278.04659375 |
| transcript.pyannote[78].end |
278.08034375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
278.08034375 |
| transcript.pyannote[79].end |
278.11409375 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
278.11409375 |
| transcript.pyannote[80].end |
278.13096875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
278.13096875 |
| transcript.pyannote[81].end |
278.73846875 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
278.18159375 |
| transcript.pyannote[82].end |
326.44409375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
324.94221875 |
| transcript.pyannote[83].end |
345.49596875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
330.67971875 |
| transcript.pyannote[84].end |
331.40534375 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
331.70909375 |
| transcript.pyannote[85].end |
332.70471875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
338.00346875 |
| transcript.pyannote[86].end |
340.39971875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
346.08659375 |
| transcript.pyannote[87].end |
347.20034375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
347.95971875 |
| transcript.pyannote[88].end |
357.08909375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
357.39284375 |
| transcript.pyannote[89].end |
360.44721875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
360.66659375 |
| transcript.pyannote[90].end |
369.52596875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
369.59346875 |
| transcript.pyannote[91].end |
371.63534375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
371.75346875 |
| transcript.pyannote[92].end |
375.31409375 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
375.78659375 |
| transcript.pyannote[93].end |
375.92159375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
375.92159375 |
| transcript.pyannote[94].end |
380.22471875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
380.54534375 |
| transcript.pyannote[95].end |
383.43096875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
380.69721875 |
| transcript.pyannote[96].end |
380.86596875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
383.80221875 |
| transcript.pyannote[97].end |
386.53596875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
387.75096875 |
| transcript.pyannote[98].end |
399.49596875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
400.12034375 |
| transcript.pyannote[99].end |
418.64909375 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
418.26096875 |
| transcript.pyannote[100].end |
419.13846875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
419.13846875 |
| transcript.pyannote[101].end |
419.17221875 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
420.06659375 |
| transcript.pyannote[102].end |
423.07034375 |
| transcript.whisperx[0].start |
10.301 |
| transcript.whisperx[0].end |
29.615 |
| transcript.whisperx[0].text |
謝謝主席我先請一下經濟部經濟部林市長市長早市長很高興今天還可以在這裡看到你來那個在我們 |
| transcript.whisperx[1].start |
31.149 |
| transcript.whisperx[1].end |
50.648 |
| transcript.whisperx[1].text |
首先我想要先請教一個時事題馬上就要過年了那這個經濟部在日前有宣布春節的油價方案是止跌不漲對不對所以你們會在這個時候把這個油品的價格去把它控制在一定的油氣都不會調 |
| transcript.whisperx[2].start |
51.229 |
| transcript.whisperx[2].end |
76.175 |
| transcript.whisperx[2].text |
油氣都不會調那水電呢因為我看到卓院長說這個水價應該要適度的調整那開始就有媒體在寫說這個卓榮泰只是水價要上漲所以你們可能會上漲四成那很多人開始人心惶惶我是不是利用這個機會讓經濟部也說明一下好不好你們現在水電有沒有調整的方案那如果有什麼時候會做 |
| transcript.whisperx[3].start |
80.196 |
| transcript.whisperx[3].end |
103.036 |
| transcript.whisperx[3].text |
來我跟你們報告其實這個水電是不是要漲這個都有一個審議委員會而且這個審議委員會在調的時候也會通盤考量到國內的整個經濟情況還有民生的一個消費一個狀況不會說貿然去調整所以一定會經過一個深思熟慮的一個情況再來調整那院長講的只是說我們可以去討論但是討論不一定會去做一點 |
| transcript.whisperx[4].start |
103.757 |
| transcript.whisperx[4].end |
123.546 |
| transcript.whisperx[4].text |
也要等到一個不是說討論就一定事情調整你還是要等到你們的審議委員會討論完之後才會確定嘛對不對審議委員會一定會經過通盤完整的考量才會去做一些決定所以我想對於媒體這樣的報導我覺得可能你們也應該要去跟媒體做一些澄清因為第一個還沒有經過討論 |
| transcript.whisperx[5].start |
125.816 |
| transcript.whisperx[5].end |
151.425 |
| transcript.whisperx[5].text |
也不知道它到底會不會漲即使會漲也不一定是像媒體講的漲四成所以我認為這樣的一個報導其實對於大家覺得要過年了經濟部在處理會讓人心惶惶所以我想這個可能經濟部你們可能還是要再去做一些澄清再去做一些說明我們有述實對外澄清說這個東西 |
| transcript.whisperx[6].start |
153.826 |
| transcript.whisperx[6].end |
176.677 |
| transcript.whisperx[6].text |
接下來我想還是要請教一下次長我們今天討論這個產創條例這個大概整理了一下這個是你們行政院的幾個版本我現在大概幾個問題要請教這個問題大概其實大家都覺得抵減金額到底應該要多少會比較好行政院的版本是18億那本席提出的版本是20億 |
| transcript.whisperx[7].start |
177.978 |
| transcript.whisperx[7].end |
204.774 |
| transcript.whisperx[7].text |
那我的這個版本20億的數字呢其實是跟郭智慧部長希望的20億是一樣的可是我剛剛聽了財政部的報導他說我們已經通盤考量過了我們就這樣已經很好了所以呢他希望大院支持你們18億次長你們怎麼看因為我們這是行政院版本我們在內部所以你現在還是必須要支持行政院版本你還是只能講18億嘛對不對如果到20億會不會比較好一點 |
| transcript.whisperx[8].start |
207.745 |
| transcript.whisperx[8].end |
232.421 |
| transcript.whisperx[8].text |
如果到20億會不會比較好?你覺得到了20億是不是對企業的誘因會更增強一點?18億跟20億差2億而已政府怎麼不可以比較大幅度的誘因?內部討論是有考慮到一些橫平性還有一些租稅方面的一個橫平性的問題啦橫平性跟租稅方面喔?來那個財政部市長我請教一下 |
| transcript.whisperx[9].start |
235.767 |
| transcript.whisperx[9].end |
252.708 |
| transcript.whisperx[9].text |
來讓您回答一下 我講這個經濟部也不方便回答18億跟20億只有差一點點 到底你們有沒有去精算過差這個2億你們的稅損會差多少所以如果不是太多的話為什麼不能變成20億 |
| transcript.whisperx[10].start |
254.269 |
| transcript.whisperx[10].end |
277.421 |
| transcript.whisperx[10].text |
報告委員 基本上我們當然是因為這個18億也是我們跟經濟部在行政院充分討論大家獲得的共識我瞭解是經濟部堅持喔那個是財政部堅持喔部長他希望的是20億喔所以部長現在還是在對外講說他希望能夠去爭取到20億如果說有差一點點或者是有超過20億的他還要想辦法去幫他們爭取一些優惠喔 |
| transcript.whisperx[11].start |
278.321 |
| transcript.whisperx[11].end |
299.951 |
| transcript.whisperx[11].text |
其实我们有参考就是以往年度我们提供这个十条之一置机投底的那个金额大家适用的状况那其实看起来大部分的企业都是符合规定的都在我们那个十亿的金额以下那只是说少部分的产业当然有一部分会超过但是这次我们也配合就是加入人工智慧还有就是节能减碳我们也把这个金额提高了 |
| transcript.whisperx[12].start |
300.331 |
| transcript.whisperx[12].end |
315.138 |
| transcript.whisperx[12].text |
那其實這個金額我們也是考慮說因為企業其實它購置機器設備它不會一次全部買足因為它是分年或者是分批分階段購置所以基本上它每一年只要在這個金額範圍內它都可以使用這個投資體檢優惠大家也知道一個設備如果金額很龐大勢必是要分階段分年來購置的所以我們覺得這個18億的金額其實也是我們在行政院跟經濟部也是有討價還價的結果才決定了這個金額我覺得你們我剛問了那個稅損 |
| transcript.whisperx[13].start |
329.005 |
| transcript.whisperx[13].end |
346.911 |
| transcript.whisperx[13].text |
會差多少你們有沒有算過稅水二十億的部分你當然這樣講啊你當然說哎呀因為那個設備購資他不會一次一次把它購足嘛他會分年嘛我當然知道他會分年嘛但是如果政府能夠更大方一點我提供更好的租稅優惠更好的這些這些條件 |
| transcript.whisperx[14].start |
348.181 |
| transcript.whisperx[14].end |
375.151 |
| transcript.whisperx[14].text |
我覺得其實它是會創造更多的誘因創造更多的投資而且你現在講的人工智慧其實很多的這些設備費用是跟你往年的這些設備費用其實是天差地別的所以你現在講說往年只有10億所以也達不到這個那我現在提高到18億我覺得已經對他們很好了我認為如果是這樣的思維其實這個不叫創新啦你們還是在講說我已經有給你了啦這樣已經夠了啦 |
| transcript.whisperx[15].start |
376.833 |
| transcript.whisperx[15].end |
386.313 |
| transcript.whisperx[15].text |
而且您剛剛的報告其實你就跟各國來比較跟各國比較你就覺得說我們沒有比人家差但是你沒有告訴我你有沒有比人家好 |
| transcript.whisperx[16].start |
387.813 |
| transcript.whisperx[16].end |
413.384 |
| transcript.whisperx[16].text |
這就是我們最大的問題你知道嗎你都告訴我說人家也有這樣啊人家也沒有那樣啊所以我們不會比人家差但是你沒有告訴我你提的這些東西有沒有比人家好所以我想這一點我覺得你們應該要換一個角度去思考你提出來的東西有沒有比人家好有沒有比其他國家好有沒有比其他國家更優惠這個才是創造誘因最大的利基點 |
| transcript.whisperx[17].start |
414.244 |
| transcript.whisperx[17].end |
422.986 |
| transcript.whisperx[17].text |
一个主席已经站起来我就不再多说了但是我觉得可能你们还要再去思考一下好谢谢邱委员下位咨询请陈提飞委 |