| IVOD_ID |
151997 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/151997 |
| 日期 |
2024-05-02 |
| 會議資料.會議代碼 |
委員會-11-1-19-10 |
| 會議資料.會議代碼:str |
第11屆第1會期經濟委員會第10次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
1 |
| 會議資料.會次 |
10 |
| 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1會期經濟委員會第10次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2024-05-02T09:05:05+08:00 |
| 結束時間 |
2024-05-02T09:08:05+08:00 |
| 影片長度 |
00:03:00 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6f015fe8e6787db1a4dae871392fae87e12ebde737ab3c1955be169921a0a71761e60d5d759f24045ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
賴士葆 |
| 委員發言時間 |
09:05:05 - 09:08:05 |
| 會議時間 |
2024-05-02T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第1會期經濟委員會第10次全體委員會議（事由：審查：
一、行政院函請審議「中小企業發展條例部分條文修正草案」案。
二、本院委員柯志恩等17人擬具「中小企業發展條例第三十六條之二條文修正草案」案。
三、本院委員賴士葆等19人擬具「中小企業發展條例第三十六條之二條文修正草案」案。
四、本院委員楊瓊瓔等16人擬具「中小企業發展條例第三十六條之二條文修正草案」案。
五、本院委員楊瓊瓔等16人擬具「中小企業發展條例增訂第三十六條之四條文草案」案。
六、本院台灣民眾黨黨團擬具「中小企業發展條例部分條文修正草案」案。
七、本院國民黨黨團擬具「中小企業發展條例第三十六條之二條文修正草案」案。
八、本院委員張智倫等19人擬具「中小企業發展條例第三十五條、第三十六條之二及第四十條條文修正草案」案。
九、本院委員王世堅等16人擬具「中小企業發展條例第三十五條、第三十六條之二及第四十條條文修正草案」案。
十、本院委員郭國文等19人擬具「中小企業發展條例第三十六條之二條文修正草案」案。
十一、本院委員邱議瑩等29人擬具「中小企業發展條例部分條文修正草案」案。
（詢答及處理，委員郭國文等人提案如未接獲議事處來函則不予審查）【4月29日、5月1日及2日三天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
0.06471875 |
| transcript.pyannote[0].end |
1.95471875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
2.12346875 |
| transcript.pyannote[1].end |
2.49471875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
6.81471875 |
| transcript.pyannote[2].end |
8.50221875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
9.14346875 |
| transcript.pyannote[3].end |
11.75909375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
12.14721875 |
| transcript.pyannote[4].end |
13.64909375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
14.13846875 |
| transcript.pyannote[5].end |
15.62346875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
16.06221875 |
| transcript.pyannote[6].end |
17.15909375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
17.83409375 |
| transcript.pyannote[7].end |
20.46659375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
21.12471875 |
| transcript.pyannote[8].end |
23.72346875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
24.16221875 |
| transcript.pyannote[9].end |
26.54159375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
27.23346875 |
| transcript.pyannote[10].end |
27.58784375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
27.80721875 |
| transcript.pyannote[11].end |
29.34284375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
29.74784375 |
| transcript.pyannote[12].end |
31.14846875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
31.50284375 |
| transcript.pyannote[13].end |
32.73471875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
33.02159375 |
| transcript.pyannote[14].end |
33.88221875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
34.08471875 |
| transcript.pyannote[15].end |
35.72159375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
35.83971875 |
| transcript.pyannote[16].end |
37.47659375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
37.96596875 |
| transcript.pyannote[17].end |
41.18909375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
41.44221875 |
| transcript.pyannote[18].end |
44.26034375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
44.56409375 |
| transcript.pyannote[19].end |
46.15034375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
46.28534375 |
| transcript.pyannote[20].end |
49.15409375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
49.59284375 |
| transcript.pyannote[21].end |
51.36471875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
51.53346875 |
| transcript.pyannote[22].end |
52.59659375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
52.73159375 |
| transcript.pyannote[23].end |
56.15721875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
56.46096875 |
| transcript.pyannote[24].end |
57.81096875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
58.03034375 |
| transcript.pyannote[25].end |
58.04721875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
58.08096875 |
| transcript.pyannote[26].end |
65.38784375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
66.40034375 |
| transcript.pyannote[27].end |
68.52659375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
68.66159375 |
| transcript.pyannote[28].end |
73.04909375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
73.74096875 |
| transcript.pyannote[29].end |
75.83346875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
76.49159375 |
| transcript.pyannote[30].end |
79.15784375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
79.91721875 |
| transcript.pyannote[31].end |
82.14471875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
82.70159375 |
| transcript.pyannote[32].end |
83.93346875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
84.52409375 |
| transcript.pyannote[33].end |
86.36346875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
87.05534375 |
| transcript.pyannote[34].end |
88.65846875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
89.01284375 |
| transcript.pyannote[35].end |
89.56971875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
90.59909375 |
| transcript.pyannote[36].end |
93.70409375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
93.97409375 |
| transcript.pyannote[37].end |
98.56409375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
98.91846875 |
| transcript.pyannote[38].end |
100.33596875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
100.53846875 |
| transcript.pyannote[39].end |
102.90096875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
103.13721875 |
| transcript.pyannote[40].end |
104.40284375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
105.14534375 |
| transcript.pyannote[41].end |
105.85409375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
106.46159375 |
| transcript.pyannote[42].end |
109.58346875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
109.65096875 |
| transcript.pyannote[43].end |
113.26221875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
113.88659375 |
| transcript.pyannote[44].end |
116.18159375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
116.53596875 |
| transcript.pyannote[45].end |
118.13909375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
118.66221875 |
| transcript.pyannote[46].end |
121.59846875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
122.05409375 |
| transcript.pyannote[47].end |
122.40846875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
122.94846875 |
| transcript.pyannote[48].end |
123.67409375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
124.28159375 |
| transcript.pyannote[49].end |
124.97346875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
125.69909375 |
| transcript.pyannote[50].end |
126.91409375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
127.53846875 |
| transcript.pyannote[51].end |
130.37346875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
130.99784375 |
| transcript.pyannote[52].end |
135.19971875 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
135.58784375 |
| transcript.pyannote[53].end |
137.19096875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
137.66346875 |
| transcript.pyannote[54].end |
138.03471875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
138.25409375 |
| transcript.pyannote[55].end |
138.79409375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
138.97971875 |
| transcript.pyannote[56].end |
139.68846875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
140.04284375 |
| transcript.pyannote[57].end |
141.74721875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
141.98346875 |
| transcript.pyannote[58].end |
144.98721875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
145.52721875 |
| transcript.pyannote[59].end |
146.89409375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
147.48471875 |
| transcript.pyannote[60].end |
148.95284375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
149.72909375 |
| transcript.pyannote[61].end |
150.26909375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
150.69096875 |
| transcript.pyannote[62].end |
152.12534375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
152.58096875 |
| transcript.pyannote[63].end |
157.82909375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
158.11596875 |
| transcript.pyannote[64].end |
161.17034375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
161.65971875 |
| transcript.pyannote[65].end |
162.99284375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
163.21221875 |
| transcript.pyannote[66].end |
164.57909375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
165.01784375 |
| transcript.pyannote[67].end |
165.62534375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
165.87846875 |
| transcript.pyannote[68].end |
166.26659375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
166.62096875 |
| transcript.pyannote[69].end |
168.03846875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
168.25784375 |
| transcript.pyannote[70].end |
169.87784375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
170.21534375 |
| transcript.pyannote[71].end |
171.41346875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
171.59909375 |
| transcript.pyannote[72].end |
179.22659375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
179.96909375 |
| transcript.pyannote[73].end |
180.22221875 |
| transcript.whisperx[0].start |
0.129 |
| transcript.whisperx[0].end |
26.276 |
| transcript.whisperx[0].text |
賴士葆委員請做提案說明。謝謝。謝謝主席以及各位先進。我的提案說明啊,基本上跟剛才賴士葆委員提的蠻接近的。就是在過去,原來在馬英九主政的時候,那時候就通過了說中小企業在一定的情況之下, |
| transcript.whisperx[1].start |
27.276 |
| transcript.whisperx[1].end |
46.627 |
| transcript.whisperx[1].text |
那企業主如果對員工加薪的話,他扣底的費用可以成為乘130%,就1.3倍。那這裡面就是因為有一些的設定條件,包括緊急要到達一定的程度,GDP的成長率等等等等。 |
| transcript.whisperx[2].start |
47.227 |
| transcript.whisperx[2].end |
65.759 |
| transcript.whisperx[2].text |
|
| transcript.whisperx[3].start |
66.462 |
| transcript.whisperx[3].end |
86.196 |
| transcript.whisperx[3].text |
很少很少,少是又少。我們總共中小企業的家屬有120萬家以上。結果咧,申請的幾千家而已啊。然後稅損多少呢?大家以為說稅損算起來平均一年差不多一千萬。一千萬啊各位。不是一千億啊,一千萬啊。所以這個財政部啊,就是驚喜。 |
| transcript.whisperx[4].start |
90.646 |
| transcript.whisperx[4].end |
112.474 |
| transcript.whisperx[4].text |
然後拼命把這個中小企業都當壞人一樣,說你這個這樣會不會這個討稅啊、掃教稅啊、掐得太死了,所以沒有績效。那我們現在這個前幾天不是看到主計總組發表的我們前20%跟後20%台灣人的財富相差了將近67倍。 |
| transcript.whisperx[5].start |
113.814 |
| transcript.whisperx[5].end |
137.517 |
| transcript.whisperx[5].text |
|
| transcript.whisperx[6].start |
138.357 |
| transcript.whisperx[6].end |
159.989 |
| transcript.whisperx[6].text |
讓企業來加薪大企業他有本事他有社會的責任有社會的壓力比較容易對中小企業政府很需要拉把筋很需要拉把筋所以我的內容跟剛才這個國民黨團所提的是幾乎完全一樣了就是原來130我們希望提高到200% |
| transcript.whisperx[7].start |
161.91 |
| transcript.whisperx[7].end |
178.512 |
| transcript.whisperx[7].text |
對於年輕的來講24歲以下的希望能夠從目前的150%增加到220%以上就是我個人的把這次提案的精髓跟重點跟各位報告請各位的支持感謝謝謝 |