IVOD_ID |
158491 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158491 |
日期 |
2024-12-30 |
會議資料.會議代碼 |
聯席會議-11-2-19,36-1 |
會議資料.會議代碼:str |
第11屆第2會期經濟、司法及法制兩委員會第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] |
36 |
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] |
司法及法制委員會 |
會議資料.標題 |
第11屆第2會期經濟、司法及法制兩委員會第1次聯席會議 |
影片種類 |
Clip |
開始時間 |
2024-12-30T10:09:01+08:00 |
結束時間 |
2024-12-30T10:12:37+08:00 |
影片長度 |
00:03:36 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/358c3f0dd56dd1e013b818fae5439dd683be44f6eda3de9349d0b5afa0c2001b11aaf748057b52845ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
葉元之 |
委員發言時間 |
10:09:01 - 10:12:37 |
會議時間 |
2024-12-30T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期經濟、司法及法制兩委員會第1次聯席會議(事由:審查行政院函送公平交易委員會委員提名名單,李鎂續任委員並為主任委員、陳志民續任委員並為副主任委員、洪財隆續任委員,林慶堂為委員,請同意案。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
0.85784375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
2.19096875 |
transcript.pyannote[1].end |
3.62534375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
13.37909375 |
transcript.pyannote[2].end |
15.91034375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
16.26471875 |
transcript.pyannote[3].end |
18.08721875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
18.30659375 |
transcript.pyannote[4].end |
24.55034375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
25.10721875 |
transcript.pyannote[5].end |
26.38971875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
26.96346875 |
transcript.pyannote[6].end |
29.34284375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
29.57909375 |
transcript.pyannote[7].end |
35.16471875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
35.19846875 |
transcript.pyannote[8].end |
40.24409375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
40.88534375 |
transcript.pyannote[9].end |
42.55596875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
42.65721875 |
transcript.pyannote[10].end |
45.12096875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
45.67784375 |
transcript.pyannote[11].end |
49.08659375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
49.37346875 |
transcript.pyannote[12].end |
52.73159375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
52.39409375 |
transcript.pyannote[13].end |
53.45721875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
53.23784375 |
transcript.pyannote[14].end |
55.83659375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
54.26721875 |
transcript.pyannote[15].end |
58.26659375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
59.32971875 |
transcript.pyannote[16].end |
59.49846875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
60.15659375 |
transcript.pyannote[17].end |
60.73034375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
61.42221875 |
transcript.pyannote[18].end |
64.13909375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
64.13909375 |
transcript.pyannote[19].end |
64.18971875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
64.18971875 |
transcript.pyannote[20].end |
66.51846875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
67.14284375 |
transcript.pyannote[21].end |
68.56034375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
68.56034375 |
transcript.pyannote[22].end |
69.28596875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
68.88096875 |
transcript.pyannote[23].end |
69.26909375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
69.28596875 |
transcript.pyannote[24].end |
70.31534375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
70.56846875 |
transcript.pyannote[25].end |
73.30221875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
74.09534375 |
transcript.pyannote[26].end |
77.20034375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
77.74034375 |
transcript.pyannote[27].end |
81.11534375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
81.73971875 |
transcript.pyannote[28].end |
82.97159375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
83.34284375 |
transcript.pyannote[29].end |
86.26221875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
83.47784375 |
transcript.pyannote[30].end |
83.88284375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
86.22846875 |
transcript.pyannote[31].end |
91.76346875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
92.18534375 |
transcript.pyannote[32].end |
94.85159375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
95.27346875 |
transcript.pyannote[33].end |
96.84284375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
97.39971875 |
transcript.pyannote[34].end |
101.66909375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
102.12471875 |
transcript.pyannote[35].end |
108.84096875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
109.49909375 |
transcript.pyannote[36].end |
120.31596875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
120.41721875 |
transcript.pyannote[37].end |
124.48409375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
124.73721875 |
transcript.pyannote[38].end |
125.39534375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
125.64846875 |
transcript.pyannote[39].end |
128.75346875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
129.14159375 |
transcript.pyannote[40].end |
132.61784375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
133.39409375 |
transcript.pyannote[41].end |
134.64284375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
135.48659375 |
transcript.pyannote[42].end |
136.39784375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
136.39784375 |
transcript.pyannote[43].end |
143.33346875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
143.97471875 |
transcript.pyannote[44].end |
145.44284375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
145.98284375 |
transcript.pyannote[45].end |
149.07096875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
150.10034375 |
transcript.pyannote[46].end |
158.75721875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
159.01034375 |
transcript.pyannote[47].end |
167.61659375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
167.81909375 |
transcript.pyannote[48].end |
174.11346875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
174.60284375 |
transcript.pyannote[49].end |
176.13846875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
176.40846875 |
transcript.pyannote[50].end |
179.98596875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
180.20534375 |
transcript.pyannote[51].end |
181.03221875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
181.43721875 |
transcript.pyannote[52].end |
181.58909375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
181.58909375 |
transcript.pyannote[53].end |
184.96409375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
181.60596875 |
transcript.pyannote[54].end |
181.85909375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
185.09909375 |
transcript.pyannote[55].end |
194.85284375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
193.06409375 |
transcript.pyannote[56].end |
193.65471875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
194.54909375 |
transcript.pyannote[57].end |
194.61659375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
194.85284375 |
transcript.pyannote[58].end |
195.35909375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
196.00034375 |
transcript.pyannote[59].end |
201.60284375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
196.03409375 |
transcript.pyannote[60].end |
196.97909375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
200.84346875 |
transcript.pyannote[61].end |
206.34471875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
206.32784375 |
transcript.pyannote[62].end |
208.65659375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
209.17971875 |
transcript.pyannote[63].end |
209.83784375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
210.00659375 |
transcript.pyannote[64].end |
210.24284375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
210.76596875 |
transcript.pyannote[65].end |
211.67721875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
211.86284375 |
transcript.pyannote[66].end |
212.09909375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
212.16659375 |
transcript.pyannote[67].end |
212.65596875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
213.29721875 |
transcript.pyannote[68].end |
213.80346875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
214.42784375 |
transcript.pyannote[69].end |
214.69784375 |
transcript.whisperx[0].start |
0.25 |
transcript.whisperx[0].end |
3.402 |
transcript.whisperx[0].text |
葉元之現在請葉元之 |
transcript.whisperx[1].start |
13.607 |
transcript.whisperx[1].end |
39.894 |
transcript.whisperx[1].text |
各位請教一下我記得我上一次在這邊諮詢你的時候那時候也有問Uber Eats跟Foodpanda的問題感覺上好像那時候已經漏口風了就覺得說不會讓這兩家合併因為當時就是你講的我那時候說要把那個唐鳳的點心麵平台算進來你說如果把它算進來的話那分母又變大了那個兩家合併的市佔率相對來說被稀釋了我的感覺好像你那時候就已經 |
transcript.whisperx[2].start |
40.934 |
transcript.whisperx[2].end |
57.952 |
transcript.whisperx[2].text |
已經預設說不會讓他們合併那我想請教一下當時你的考慮其實已經就已經決定不會讓他們合併了嘛對不對因為當時委員會還沒有審查不能先講對不對不能先講但是實際上你個人的立場是覺得不要讓他們合併嘛原因是什麼 |
transcript.whisperx[3].start |
60.25 |
transcript.whisperx[3].end |
80.843 |
transcript.whisperx[3].text |
我想在全世界第一大並第二大造成一個獨佔的情況都是非常慎重的非常慎重都是非常慎重那現在有一個問題因為Uber E跟Fupenda他們Uber E的母公司在海外實際上已經併購Fupenda這事你知道嗎? |
transcript.whisperx[4].start |
81.926 |
transcript.whisperx[4].end |
108.655 |
transcript.whisperx[4].text |
在臺灣有一些這個臺灣有一些控制的情形我瞭解你知道嘛 知道齁那現在假設啦Uber E的母公司後來在臺灣沒辦法併購FuPenta最後他們決定FuPenta退出臺灣市場然後再由Uber E去把原本FuPenta的市場把它吃下來那這會不會也一樣就是造成市場壟斷的狀況這個公平會有沒有掌握或者是因應之道 |
transcript.whisperx[5].start |
109.568 |
transcript.whisperx[5].end |
134.429 |
transcript.whisperx[5].text |
我想如果副本塔推出市場這個餐飲外送平臺市場的發展會怎麼樣是要進一步觀察那假設因此而Uber Eats的市場力很大甚至到獨佔的地位我們現行公平交易法對於獨佔的這個不可以有的行為還有對其他限制競爭濫用市場力的行為都有規範我們同樣會密切的關注 |
transcript.whisperx[6].start |
135.76 |
transcript.whisperx[6].end |
147.645 |
transcript.whisperx[6].text |
這樣的發展密切關注對現在就是我是覺得要超前部署啦因為這個是一個可見的未來嘛非常有可能嘛對因為副部長現在就是感覺要退出台灣市場的決心還蠻強的啦 |
transcript.whisperx[7].start |
150.151 |
transcript.whisperx[7].end |
167.347 |
transcript.whisperx[7].text |
所以不是說這一關你把它卡掉之後好像後續我們就靜觀其變我只是覺得應該要事先掌握而且上一次我給你建議你未來要審查類似案子的時候應該要要求外送平台要做好一些偏鄉的服務因為有時候偏鄉根本都叫不到 |
transcript.whisperx[8].start |
167.907 |
transcript.whisperx[8].end |
184.88 |
transcript.whisperx[8].text |
所以他們市場過於集中嘛然後另外我再問一個也是另外一個併購案你們的態度是什麼?就是日本汽車現在尼桑、HONDA跟Mitsubishi已經在談判合併了那我們公平會現在有沒有掌握到他們的合併案?未來可能對台灣的汽車市場的影響有沒有? |
transcript.whisperx[9].start |
185.34 |
transcript.whisperx[9].end |
212.353 |
transcript.whisperx[9].text |
這部分我們有看到相關的新聞那是不是符合臺灣的結合的門檻好如果符合結合門檻會到公平會來申請對當然了那我們會去注意門檻是怎麼樣我會看這個結合當事人的市佔率銷售金額做整個綜合的我知道我知道我是說原則上是怎樣你不要講原則啦我是說就這個個案你們有沒有掌握這個我了解我這個案子了解這個案子是要及早因應啊是好謝謝好謝謝來 |