IVOD_ID |
157512 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157512 |
日期 |
2024-11-27 |
會議資料.會議代碼 |
委員會-11-2-19-17 |
會議資料.會議代碼:str |
第11屆第2會期經濟委員會第17次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
17 |
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2會期經濟委員會第17次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-11-27T11:09:14+08:00 |
結束時間 |
2024-11-27T11:19:59+08:00 |
影片長度 |
00:10:45 |
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/4b9db3dc7042177adfffd885a9a84bb56e756e96dd8ac7a38660580be52668210303f983ebd4ce0e5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
邱志偉 |
委員發言時間 |
11:09:14 - 11:19:59 |
會議時間 |
2024-11-27T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期經濟委員會第17次全體委員會議(事由:審查114年度中央政府總預算案關於經濟部及所屬單位預算部分。(詢答)) |
transcript.pyannote[0].speaker |
SPEAKER_04 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
2.56221875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
24.66846875 |
transcript.pyannote[1].end |
25.78221875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
26.40659375 |
transcript.pyannote[2].end |
27.84096875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
28.33034375 |
transcript.pyannote[3].end |
28.68471875 |
transcript.pyannote[4].speaker |
SPEAKER_04 |
transcript.pyannote[4].start |
28.97159375 |
transcript.pyannote[4].end |
29.61284375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
36.49784375 |
transcript.pyannote[5].end |
39.99096875 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
40.10909375 |
transcript.pyannote[6].end |
42.03284375 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
42.10034375 |
transcript.pyannote[7].end |
43.06221875 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
44.12534375 |
transcript.pyannote[8].end |
44.78346875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
46.08284375 |
transcript.pyannote[9].end |
46.58909375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
47.02784375 |
transcript.pyannote[10].end |
50.65596875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
51.14534375 |
transcript.pyannote[11].end |
54.18284375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
54.52034375 |
transcript.pyannote[12].end |
56.93346875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
57.13596875 |
transcript.pyannote[13].end |
58.97534375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
59.46471875 |
transcript.pyannote[14].end |
61.47284375 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
61.77659375 |
transcript.pyannote[15].end |
62.53596875 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
63.27846875 |
transcript.pyannote[16].end |
64.10534375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
64.34159375 |
transcript.pyannote[17].end |
65.48909375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
65.82659375 |
transcript.pyannote[18].end |
67.07534375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
67.59846875 |
transcript.pyannote[19].end |
69.91034375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
70.45034375 |
transcript.pyannote[20].end |
73.35284375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
73.84221875 |
transcript.pyannote[21].end |
75.71534375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
76.37346875 |
transcript.pyannote[22].end |
79.41096875 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
79.79909375 |
transcript.pyannote[23].end |
81.28409375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
81.40221875 |
transcript.pyannote[24].end |
82.12784375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
82.66784375 |
transcript.pyannote[25].end |
86.51534375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
87.00471875 |
transcript.pyannote[26].end |
88.35471875 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
88.86096875 |
transcript.pyannote[27].end |
89.36721875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
89.89034375 |
transcript.pyannote[28].end |
93.13034375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
94.10909375 |
transcript.pyannote[29].end |
96.11721875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
96.43784375 |
transcript.pyannote[30].end |
97.83846875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
98.51346875 |
transcript.pyannote[31].end |
98.76659375 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
99.20534375 |
transcript.pyannote[32].end |
100.43721875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
100.97721875 |
transcript.pyannote[33].end |
102.00659375 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
102.66471875 |
transcript.pyannote[34].end |
104.13284375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
104.26784375 |
transcript.pyannote[35].end |
105.22971875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
105.78659375 |
transcript.pyannote[36].end |
107.37284375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
107.55846875 |
transcript.pyannote[37].end |
111.79409375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
112.57034375 |
transcript.pyannote[38].end |
113.86971875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
114.79784375 |
transcript.pyannote[39].end |
116.68784375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
117.14346875 |
transcript.pyannote[40].end |
117.39659375 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
117.59909375 |
transcript.pyannote[41].end |
118.15596875 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
118.67909375 |
transcript.pyannote[42].end |
120.23159375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
120.70409375 |
transcript.pyannote[43].end |
121.32846875 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
122.34096875 |
transcript.pyannote[44].end |
123.42096875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
123.96096875 |
transcript.pyannote[45].end |
124.29846875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
124.60221875 |
transcript.pyannote[46].end |
125.05784375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
126.10409375 |
transcript.pyannote[47].end |
126.13784375 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
126.77909375 |
transcript.pyannote[48].end |
131.30159375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
129.20909375 |
transcript.pyannote[49].end |
131.97659375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
131.97659375 |
transcript.pyannote[50].end |
135.03096875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
135.16596875 |
transcript.pyannote[51].end |
136.56659375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
137.32596875 |
transcript.pyannote[52].end |
138.03471875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
138.52409375 |
transcript.pyannote[53].end |
138.97971875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
139.16534375 |
transcript.pyannote[54].end |
141.67971875 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
142.28721875 |
transcript.pyannote[55].end |
143.35034375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
143.65409375 |
transcript.pyannote[56].end |
146.42159375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
146.94471875 |
transcript.pyannote[57].end |
158.94284375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
159.51659375 |
transcript.pyannote[58].end |
161.54159375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
161.79471875 |
transcript.pyannote[59].end |
163.24596875 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
163.51596875 |
transcript.pyannote[60].end |
165.06846875 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
165.42284375 |
transcript.pyannote[61].end |
166.73909375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
167.97096875 |
transcript.pyannote[62].end |
171.81846875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
172.35846875 |
transcript.pyannote[63].end |
175.80096875 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
176.89784375 |
transcript.pyannote[64].end |
178.70346875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
179.73284375 |
transcript.pyannote[65].end |
180.88034375 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
182.23034375 |
transcript.pyannote[66].end |
182.80409375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
183.05721875 |
transcript.pyannote[67].end |
184.60971875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
184.98096875 |
transcript.pyannote[68].end |
186.58409375 |
transcript.pyannote[69].speaker |
SPEAKER_04 |
transcript.pyannote[69].start |
187.36034375 |
transcript.pyannote[69].end |
191.57909375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
191.37659375 |
transcript.pyannote[70].end |
191.39346875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
191.57909375 |
transcript.pyannote[71].end |
191.61284375 |
transcript.pyannote[72].speaker |
SPEAKER_04 |
transcript.pyannote[72].start |
192.03471875 |
transcript.pyannote[72].end |
193.28346875 |
transcript.pyannote[73].speaker |
SPEAKER_04 |
transcript.pyannote[73].start |
193.89096875 |
transcript.pyannote[73].end |
196.32096875 |
transcript.pyannote[74].speaker |
SPEAKER_04 |
transcript.pyannote[74].start |
196.60784375 |
transcript.pyannote[74].end |
198.80159375 |
transcript.pyannote[75].speaker |
SPEAKER_04 |
transcript.pyannote[75].start |
199.45971875 |
transcript.pyannote[75].end |
204.67409375 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
204.60659375 |
transcript.pyannote[76].end |
206.29409375 |
transcript.pyannote[77].speaker |
SPEAKER_04 |
transcript.pyannote[77].start |
206.64846875 |
transcript.pyannote[77].end |
208.13346875 |
transcript.pyannote[78].speaker |
SPEAKER_04 |
transcript.pyannote[78].start |
208.36971875 |
transcript.pyannote[78].end |
210.91784375 |
transcript.pyannote[79].speaker |
SPEAKER_04 |
transcript.pyannote[79].start |
211.69409375 |
transcript.pyannote[79].end |
217.90409375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
213.78659375 |
transcript.pyannote[80].end |
215.50784375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
216.21659375 |
transcript.pyannote[81].end |
218.89971875 |
transcript.pyannote[82].speaker |
SPEAKER_04 |
transcript.pyannote[82].start |
219.37221875 |
transcript.pyannote[82].end |
222.13971875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
221.71784375 |
transcript.pyannote[83].end |
222.39284375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
223.28721875 |
transcript.pyannote[84].end |
224.67096875 |
transcript.pyannote[85].speaker |
SPEAKER_04 |
transcript.pyannote[85].start |
225.29534375 |
transcript.pyannote[85].end |
230.71221875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
228.87284375 |
transcript.pyannote[86].end |
229.39596875 |
transcript.pyannote[87].speaker |
SPEAKER_04 |
transcript.pyannote[87].start |
231.03284375 |
transcript.pyannote[87].end |
231.42096875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
231.16784375 |
transcript.pyannote[88].end |
233.15909375 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
233.34471875 |
transcript.pyannote[89].end |
240.95534375 |
transcript.pyannote[90].speaker |
SPEAKER_04 |
transcript.pyannote[90].start |
241.41096875 |
transcript.pyannote[90].end |
243.90846875 |
transcript.pyannote[91].speaker |
SPEAKER_04 |
transcript.pyannote[91].start |
244.22909375 |
transcript.pyannote[91].end |
247.87409375 |
transcript.pyannote[92].speaker |
SPEAKER_04 |
transcript.pyannote[92].start |
248.04284375 |
transcript.pyannote[92].end |
251.65409375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
251.72159375 |
transcript.pyannote[93].end |
258.79221875 |
transcript.pyannote[94].speaker |
SPEAKER_04 |
transcript.pyannote[94].start |
251.87346875 |
transcript.pyannote[94].end |
251.90721875 |
transcript.pyannote[95].speaker |
SPEAKER_04 |
transcript.pyannote[95].start |
257.45909375 |
transcript.pyannote[95].end |
259.50096875 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
259.12971875 |
transcript.pyannote[96].end |
259.87221875 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
260.07471875 |
transcript.pyannote[97].end |
260.83409375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
261.18846875 |
transcript.pyannote[98].end |
261.74534375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
263.97284375 |
transcript.pyannote[99].end |
267.16221875 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
267.55034375 |
transcript.pyannote[100].end |
270.06471875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
270.92534375 |
transcript.pyannote[101].end |
274.94159375 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
275.38034375 |
transcript.pyannote[102].end |
276.22409375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
276.61221875 |
transcript.pyannote[103].end |
277.96221875 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
278.65409375 |
transcript.pyannote[104].end |
285.03284375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
285.03284375 |
transcript.pyannote[105].end |
285.04971875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
285.04971875 |
transcript.pyannote[106].end |
285.15096875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
285.15096875 |
transcript.pyannote[107].end |
286.82159375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
287.15909375 |
transcript.pyannote[108].end |
298.27971875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
299.22471875 |
transcript.pyannote[109].end |
300.96284375 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
300.96284375 |
transcript.pyannote[110].end |
303.47721875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
304.03409375 |
transcript.pyannote[111].end |
312.91034375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
310.73346875 |
transcript.pyannote[112].end |
311.42534375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
313.36596875 |
transcript.pyannote[113].end |
317.43284375 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
317.11221875 |
transcript.pyannote[114].end |
319.74471875 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
320.57159375 |
transcript.pyannote[115].end |
321.53346875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
320.62221875 |
transcript.pyannote[116].end |
320.95971875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
321.82034375 |
transcript.pyannote[117].end |
323.89596875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
324.35159375 |
transcript.pyannote[118].end |
330.86534375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
329.14409375 |
transcript.pyannote[119].end |
332.31659375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
333.32909375 |
transcript.pyannote[120].end |
336.02909375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
336.02909375 |
transcript.pyannote[121].end |
338.07096875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
338.76284375 |
transcript.pyannote[122].end |
343.42034375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
343.82534375 |
transcript.pyannote[123].end |
352.85346875 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
350.35596875 |
transcript.pyannote[124].end |
351.85784375 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
352.06034375 |
transcript.pyannote[125].end |
352.22909375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
352.92096875 |
transcript.pyannote[126].end |
357.89909375 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
354.25409375 |
transcript.pyannote[127].end |
354.72659375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
358.06784375 |
transcript.pyannote[128].end |
362.69159375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
363.23159375 |
transcript.pyannote[129].end |
367.38284375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
368.26034375 |
transcript.pyannote[130].end |
368.27721875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
368.27721875 |
transcript.pyannote[131].end |
372.71534375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
373.15409375 |
transcript.pyannote[132].end |
375.24659375 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
375.93846875 |
transcript.pyannote[133].end |
376.56284375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
377.28846875 |
transcript.pyannote[134].end |
379.38096875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
379.81971875 |
transcript.pyannote[135].end |
381.43971875 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
381.92909375 |
transcript.pyannote[136].end |
383.93721875 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
384.20721875 |
transcript.pyannote[137].end |
384.62909375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
385.10159375 |
transcript.pyannote[138].end |
389.82659375 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
390.45096875 |
transcript.pyannote[139].end |
390.94034375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
391.04159375 |
transcript.pyannote[140].end |
394.58534375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
395.10846875 |
transcript.pyannote[141].end |
398.29784375 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
399.54659375 |
transcript.pyannote[142].end |
404.05221875 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
404.17034375 |
transcript.pyannote[143].end |
405.09846875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
407.84909375 |
transcript.pyannote[144].end |
412.18596875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
412.18596875 |
transcript.pyannote[145].end |
412.21971875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
412.65846875 |
transcript.pyannote[146].end |
413.97471875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
413.97471875 |
transcript.pyannote[147].end |
414.05909375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
414.68346875 |
transcript.pyannote[148].end |
414.70034375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
414.70034375 |
transcript.pyannote[149].end |
415.59471875 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
415.96596875 |
transcript.pyannote[150].end |
418.31159375 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
418.53096875 |
transcript.pyannote[151].end |
419.18909375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
419.71221875 |
transcript.pyannote[152].end |
420.57284375 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
421.43346875 |
transcript.pyannote[153].end |
421.68659375 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
422.07471875 |
transcript.pyannote[154].end |
422.73284375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
422.32784375 |
transcript.pyannote[155].end |
423.07034375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
423.49221875 |
transcript.pyannote[156].end |
425.31471875 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
424.06596875 |
transcript.pyannote[157].end |
425.73659375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
426.46221875 |
transcript.pyannote[158].end |
452.09534375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
431.37284375 |
transcript.pyannote[159].end |
432.70596875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
436.41846875 |
transcript.pyannote[160].end |
437.24534375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
438.91596875 |
transcript.pyannote[161].end |
440.16471875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
444.40034375 |
transcript.pyannote[162].end |
445.17659375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
450.67784375 |
transcript.pyannote[163].end |
453.04034375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
452.60159375 |
transcript.pyannote[164].end |
456.49971875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
453.04034375 |
transcript.pyannote[165].end |
453.07409375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
455.57159375 |
transcript.pyannote[166].end |
460.97159375 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
457.19159375 |
transcript.pyannote[167].end |
458.11971875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
460.97159375 |
transcript.pyannote[168].end |
461.49471875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
461.49471875 |
transcript.pyannote[169].end |
461.56221875 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
461.56221875 |
transcript.pyannote[170].end |
461.57909375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
461.57909375 |
transcript.pyannote[171].end |
463.97534375 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
463.97534375 |
transcript.pyannote[172].end |
474.55596875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
475.02846875 |
transcript.pyannote[173].end |
478.67346875 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
478.89284375 |
transcript.pyannote[174].end |
490.68846875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
479.98971875 |
transcript.pyannote[175].end |
480.52971875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
481.66034375 |
transcript.pyannote[176].end |
484.47846875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
485.32221875 |
transcript.pyannote[177].end |
485.86221875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
488.07284375 |
transcript.pyannote[178].end |
488.79846875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
491.09346875 |
transcript.pyannote[179].end |
492.05534375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
492.56159375 |
transcript.pyannote[180].end |
495.29534375 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
495.64971875 |
transcript.pyannote[181].end |
497.01659375 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
497.11784375 |
transcript.pyannote[182].end |
499.56471875 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
499.93596875 |
transcript.pyannote[183].end |
502.80471875 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
503.09159375 |
transcript.pyannote[184].end |
506.58471875 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
507.10784375 |
transcript.pyannote[185].end |
508.64346875 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
508.96409375 |
transcript.pyannote[186].end |
509.62221875 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
510.17909375 |
transcript.pyannote[187].end |
514.51596875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
514.98846875 |
transcript.pyannote[188].end |
524.97846875 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
525.36659375 |
transcript.pyannote[189].end |
527.84721875 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
528.10034375 |
transcript.pyannote[190].end |
528.77534375 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
529.50096875 |
transcript.pyannote[191].end |
530.26034375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
530.53034375 |
transcript.pyannote[192].end |
532.40346875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
532.62284375 |
transcript.pyannote[193].end |
534.69846875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
534.69846875 |
transcript.pyannote[194].end |
538.02284375 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
534.71534375 |
transcript.pyannote[195].end |
534.86721875 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
538.27596875 |
transcript.pyannote[196].end |
539.89596875 |
transcript.pyannote[197].speaker |
SPEAKER_03 |
transcript.pyannote[197].start |
539.42346875 |
transcript.pyannote[197].end |
544.45221875 |
transcript.pyannote[198].speaker |
SPEAKER_03 |
transcript.pyannote[198].start |
544.72221875 |
transcript.pyannote[198].end |
550.37534375 |
transcript.pyannote[199].speaker |
SPEAKER_03 |
transcript.pyannote[199].start |
550.71284375 |
transcript.pyannote[199].end |
554.18909375 |
transcript.pyannote[200].speaker |
SPEAKER_03 |
transcript.pyannote[200].start |
554.27346875 |
transcript.pyannote[200].end |
559.16721875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
557.56409375 |
transcript.pyannote[201].end |
557.58096875 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
557.58096875 |
transcript.pyannote[202].end |
559.35284375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
559.16721875 |
transcript.pyannote[203].end |
559.26846875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
561.14159375 |
transcript.pyannote[204].end |
561.41159375 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
561.93471875 |
transcript.pyannote[205].end |
566.57534375 |
transcript.pyannote[206].speaker |
SPEAKER_03 |
transcript.pyannote[206].start |
566.77784375 |
transcript.pyannote[206].end |
570.96284375 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
571.08096875 |
transcript.pyannote[207].end |
575.40096875 |
transcript.pyannote[208].speaker |
SPEAKER_03 |
transcript.pyannote[208].start |
575.67096875 |
transcript.pyannote[208].end |
577.93221875 |
transcript.pyannote[209].speaker |
SPEAKER_03 |
transcript.pyannote[209].start |
578.25284375 |
transcript.pyannote[209].end |
583.88909375 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
583.19721875 |
transcript.pyannote[210].end |
592.51221875 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
592.64721875 |
transcript.pyannote[211].end |
594.03096875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
594.03096875 |
transcript.pyannote[212].end |
598.13159375 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
599.27909375 |
transcript.pyannote[213].end |
606.46784375 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
607.07534375 |
transcript.pyannote[214].end |
609.97784375 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
609.97784375 |
transcript.pyannote[215].end |
610.07909375 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
610.07909375 |
transcript.pyannote[216].end |
610.12971875 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
610.12971875 |
transcript.pyannote[217].end |
610.23096875 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
610.23096875 |
transcript.pyannote[218].end |
610.97346875 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
610.97346875 |
transcript.pyannote[219].end |
615.41159375 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
615.91784375 |
transcript.pyannote[220].end |
615.93471875 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
615.93471875 |
transcript.pyannote[221].end |
615.95159375 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
615.95159375 |
transcript.pyannote[222].end |
617.57159375 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
615.98534375 |
transcript.pyannote[223].end |
632.18534375 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
622.53284375 |
transcript.pyannote[224].end |
624.11909375 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
629.63721875 |
transcript.pyannote[225].end |
630.17721875 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
632.60721875 |
transcript.pyannote[226].end |
637.50096875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
637.58534375 |
transcript.pyannote[227].end |
638.39534375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
638.76659375 |
transcript.pyannote[228].end |
640.70721875 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
641.12909375 |
transcript.pyannote[229].end |
642.83346875 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
643.08659375 |
transcript.pyannote[230].end |
643.27221875 |
transcript.whisperx[0].start |
0.326 |
transcript.whisperx[0].end |
28.495 |
transcript.whisperx[0].text |
請邱志偉召委質詢。好,謝謝主席。經濟部,郭部長請郭部長 |
transcript.whisperx[1].start |
36.513 |
transcript.whisperx[1].end |
62.36 |
transcript.whisperx[1].text |
委員好部長部長早那個油電航水總經理都在都在齁中央也在嗎中央有來齁沒關係油電航水齁目前人事啊我一直認為啊除了台電是曾董事長是由次長去轉任之外我覺得這個現在的總經理都非常能力非常好 |
transcript.whisperx[2].start |
63.36 |
transcript.whisperx[2].end |
63.58 |
transcript.whisperx[2].text |
主席 |
transcript.whisperx[3].start |
94.441 |
transcript.whisperx[3].end |
121.118 |
transcript.whisperx[3].text |
內生為主現在油煉糖基本上都是內生所以這個中油這個也是內生董事長總經理都是內生都是在中油基層開始服務起的資深的員工那這個台電那個王總經理也是從基層上來台水總經理董事長也是如此那台糖 |
transcript.whisperx[4].start |
122.386 |
transcript.whisperx[4].end |
122.646 |
transcript.whisperx[4].text |
委員會主席 |
transcript.whisperx[5].start |
144.143 |
transcript.whisperx[5].end |
166.134 |
transcript.whisperx[5].text |
內部升遷對於員工的士氣是有鼓舞作用有激勵作用而且內部的管理他這個文化他最了解專業度也夠我希望這個原則應該要把持住了這個董總要有專業性專業一定要是從內部內生會比較準確的 |
transcript.whisperx[6].start |
169.999 |
transcript.whisperx[6].end |
192.986 |
transcript.whisperx[6].text |
幾個問題請教就是淘寶的問題淘寶它的業務核准是商業司嗎?是商業司嗎?是蘇市長淘寶這個它有經營許可可以做電商的平台嗎?電商它不是它是一般都跟委員報告電商那個它 |
transcript.whisperx[7].start |
193.959 |
transcript.whisperx[7].end |
222.277 |
transcript.whisperx[7].text |
主管是在那個數位發展部那淘寶他沒有在臺灣落地所以他還是那個大陸的那個公司他那個整個那個母公司其實沒有在臺灣落地他沒有在臺灣設立分公司嗎他那個有一個分公司他其實他的業務是我們核准他的是做那個電子資訊供應服務跟廣告跟廣告可是他有沒有從事這個產品上架沒有我們沒有核准他經營電商目前有沒有 |
transcript.whisperx[8].start |
223.479 |
transcript.whisperx[8].end |
224.359 |
transcript.whisperx[8].text |
有否從事這些商業行為? |
transcript.whisperx[9].start |
241.705 |
transcript.whisperx[9].end |
260.801 |
transcript.whisperx[9].text |
跟委員報告這個部分有因為他在臺灣這邊的分公司我們河豚他其實沒有報告電商他實際上在經營電商可能還是在大陸那邊的是阿那你這是在臺灣的分公司你事實上有沒有從事這個電商平台的這個商業行為這個你們可以去瞭解一下我們會啟動調查是好那水利署賴署長這不然你們可能不太了解齁再生水廠齁那個署長再生水廠這是我爭取的齁 |
transcript.whisperx[10].start |
270.95 |
transcript.whisperx[10].end |
277.753 |
transcript.whisperx[10].text |
目前我們在做先期的一些評估作業我們預計差不多明年左右我們希望可以進入到完成宿件進入到環評的程序 |
transcript.whisperx[11].start |
299.261 |
transcript.whisperx[11].end |
311.208 |
transcript.whisperx[11].text |
那到這個建廠完成可以供水大概期程大概什麼時候?因為它大概4到5年就可以完成,就是環評通過的話或計畫或預算規模呢?差不多是120億到150億支付120億啊,上次不是說50億現在變120億 |
transcript.whisperx[12].start |
320.615 |
transcript.whisperx[12].end |
321.416 |
transcript.whisperx[12].text |
未來供水是供應給財業用水還是民生用水? |
transcript.whisperx[13].start |
339.36 |
transcript.whisperx[13].end |
367.159 |
transcript.whisperx[13].text |
基本上我們會以區域的用水為滿足之後然後當然海淡水廠的這個用水可能我們可以透過也許是交換水的這個方式那可以營用嗎?那個我喝過了那個水質很好啊因為我都符合國際標準所以它主要是產業用水還是民生用水?基本上我們會先提供周邊的這個民眾的這個用水那其他的這些的水源我們還可以來提供產業的需求 |
transcript.whisperx[14].start |
368.302 |
transcript.whisperx[14].end |
384.369 |
transcript.whisperx[14].text |
好 謝謝署長 那再請教一下部長 這個我還是覺得對中油比較這個 比較好像虧待啦 用增資的問題你看那個財務的問題 你看這個一樣 這個中油的財務狀況很嚴峻 負債比跟台電是一樣的 |
transcript.whisperx[15].start |
390.509 |
transcript.whisperx[15].end |
402.099 |
transcript.whisperx[15].text |
那他每年提政治計畫都沒有經過部裡面同意我是覺得這部分應該要給中郵一些這個計畫讓他們可以這個針對他們財務結構能夠調整 不然你怎麼看 |
transcript.whisperx[16].start |
407.918 |
transcript.whisperx[16].end |
410.399 |
transcript.whisperx[16].text |
我們這部分都有在實施、都有在進行。 |
transcript.whisperx[17].start |
427.144 |
transcript.whisperx[17].end |
453.801 |
transcript.whisperx[17].text |
呃 有 有 因為114年題嘛 已經快結束了所以我們現在就是想說再編115啦 但這種內部的程序115年的預算 對不對 那種內部程序先經董事會通過之後才能送到大部那邊去計劃是多少嘛 你們計劃是多少 我要幫你跟部長爭取啊就是四年3500億嘛 四年度分 我也可以跟總統建議啊 |
transcript.whisperx[18].start |
454.201 |
transcript.whisperx[18].end |
462.408 |
transcript.whisperx[18].text |
所以明年度如果重新再提的話我覺得不見得是完全照中油的要求是不是可以在財務上給中油一些支持重電輕油 |
transcript.whisperx[19].start |
479.023 |
transcript.whisperx[19].end |
480.785 |
transcript.whisperx[19].text |
川普上臺之後關稅對中國加10% 課徵關稅的理由是完全他個人意志 |
transcript.whisperx[20].start |
503.134 |
transcript.whisperx[20].end |
508.037 |
transcript.whisperx[20].text |
臺灣過去商業機密常常會,您在半導體也帶過,您是公司的領導人,你知道商業間諜在以前會把這些商業機密到中國那邊去,會不會因為這樣子成為一個理由或者破口讓中國 |
transcript.whisperx[21].start |
529.537 |
transcript.whisperx[21].end |
531.258 |
transcript.whisperx[21].text |
那你為什麼認為第二任不會呢? |
transcript.whisperx[22].start |
561.979 |
transcript.whisperx[22].end |
562.979 |
transcript.whisperx[22].text |
這部長可能比較清楚 |
transcript.whisperx[23].start |
585.204 |
transcript.whisperx[23].end |
606.12 |
transcript.whisperx[23].text |
若果這種情況一再發生,我們的高科技被商業間諜轉到中國去,美國當然會感冒。現在我們都配合美國的安全管制,但是很多公司不守法,現在沒有那麼簡單可以出去,出國管制是我們目前 |
transcript.whisperx[24].start |
607.13 |
transcript.whisperx[24].end |
631.985 |
transcript.whisperx[24].text |
一直到他真正上任﹖中國情所不用其極喔﹖他威脅利誘在臺灣的高科技公司啊﹖報告委員我想美國他比較抗勝的是那個先進製程那我相信所有先進製程﹖那成熟製程就不管制啊﹖人都被控制了現在我們所有先進製程的人員都被美國控制那你針對先進製程 成熟製程不管制 |
transcript.whisperx[25].start |
632.725 |
transcript.whisperx[25].end |
636.029 |
transcript.whisperx[25].text |
先進製程 成熟製程其實沒有意義那個已經變成鴻海的市場好 謝謝 因為時間到 |
gazette.lineno |
701 |
gazette.blocks[0][0] |
邱委員志偉:(11時9分)謝謝主席,請經濟部郭部長。 |
gazette.blocks[1][0] |
主席:請郭部長。 |
gazette.blocks[2][0] |
郭部長智輝:委員好。 |
gazette.blocks[3][0] |
邱委員志偉:部長早。油、電、糖、水的總經理都在,中鋼也在嘛,中鋼有來嗎?沒關係。油、電、糖、水目前的人事,除了台電的曾董事長是由次長去轉任之外,我覺得現在的總經理能力都非常好,專業也夠,服務熱忱也夠,領導統御也都不錯,特別是台電的王總經理、台水的李董事長跟李總經理都非常傑出跟優秀;台糖的陳立人總經理在地方的服務大家也都非常肯定,他的能力及各方面的操守我覺得都是非常禁得起考驗的。我是希望這樣,國營事業的人事儘量以內升為主,現在油、電、糖、水基本上都是內升,中油也是內升,董事長、總經理都是內升,都是在中油基層開始服務起的資深員工;台電王總經理也是從基層上來,台水總經理、董事長也是如此;台糖董事長還沒到嘛? |
gazette.blocks[4][0] |
郭部長智輝:到了。 |
gazette.blocks[5][0] |
邱委員志偉:到了嗎?還沒到嘛!部長你訊息還沒掌握。 |
gazette.blocks[6][0] |
郭部長智輝:抱歉,已經核定了,已經核定了。 |
gazette.blocks[7][0] |
邱委員志偉:還沒到嘛,核定但還沒到,他不是台糖體系嘛,對不對?他是教授嘛? |
gazette.blocks[8][0] |
郭部長智輝:是。 |
gazette.blocks[9][0] |
邱委員志偉:所以我希望,一方面,內部升遷對員工的士氣是有鼓舞作用、有激勵作用,而且內部的管理文化他最了解,專業度也夠,我希望這個原則應該要把持住,董總要有專業性,專業一定要是從內部內升會比較準確。 |
gazette.blocks[9][1] |
幾個問題請教,有關淘寶的問題,淘寶的業務核准是商業署嗎?是商業署嘛,蘇署長,淘寶有經營許可以做電商的平臺嗎? |
gazette.blocks[10][0] |
蘇署長文玲:跟委員報告,電商的主管是在數位發展部,淘寶沒有在臺灣落地,所以它還是大陸的公司,它整個母公司其實沒有在臺灣落地。 |
gazette.blocks[11][0] |
邱委員志偉:它沒有在臺灣設立分公司嗎? |
gazette.blocks[12][0] |
蘇署長文玲:它有一個分公司,我們核准它的業務是做電子資訊供應服務跟廣告,但是不是經營…… |
gazette.blocks[13][0] |
邱委員志偉:可是它有沒有從事產品上架? |
gazette.blocks[14][0] |
蘇署長文玲:沒有,我們沒有核准它經營電商業務。 |
gazette.blocks[15][0] |
邱委員志偉:目前有沒有?它有沒有從事這些商業行為? |
gazette.blocks[16][0] |
蘇署長文玲:經濟部這邊有啟動行政調查。 |
gazette.blocks[17][0] |
邱委員志偉:對,這個很多人檢舉啊,你沒有核准它可以做電商平臺,可是實際上它有從事這個商業行為,所以商業署應該去徹查。 |
gazette.blocks[18][0] |
蘇署長文玲:跟委員報告,這個部分有,因為它在臺灣這邊的分公司,我們核准的其實沒有包括電商,它實際上在經營電商可能還是在大陸那邊的公司。 |
gazette.blocks[19][0] |
邱委員志偉:是啊,這是在臺灣的分公司,事實上有沒有從事電商平臺的商業行為,這個你們回去了解一下。 |
gazette.blocks[20][0] |
蘇署長文玲:我們會啟動調查。 |
gazette.blocks[21][0] |
邱委員志偉:好。水利署賴署長,這個部長可能比較不了解,署長,再生水廠是我爭取的,原本在興達港那邊是臨時的海淡廠,從臺中移過來,現在會做一個永久性的海淡廠,大概一天可以處理10萬噸,目前的進度如何? |
gazette.blocks[22][0] |
賴署長建信:目前我們在做先期的一些評估作業,預計差不多明年左右,我們希望可以完成速建,進入到環評的程序。 |
gazette.blocks[23][0] |
邱委員志偉:到建廠完成可以供水的期程大概是什麼時候? |
gazette.blocks[24][0] |
賴署長建信:因為大概4到5年就可以完成,如果是環評通過的話…… |
gazette.blocks[25][0] |
邱委員志偉:預算規模呢? |
gazette.blocks[26][0] |
賴署長建信:差不多是120億到150億…… |
gazette.blocks[27][0] |
邱委員志偉:120億?上次不是說50億,現在變120億。 |
gazette.blocks[28][0] |
賴署長建信:因為我們現在希望海淡廠的興建用最先進的製程,包括管路的問題…… |
gazette.blocks[29][0] |
邱委員志偉:地點沒變,地點還是在興達港那邊嗎? |
gazette.blocks[30][0] |
賴署長建信:是。 |
gazette.blocks[31][0] |
邱委員志偉:好,未來供水是供應給產業用水還是民生用水? |
gazette.blocks[32][0] |
賴署長建信:基本上我們會在區域用水滿足之後,這些海淡廠的用水也許可以透過交換水的方式…… |
gazette.blocks[33][0] |
邱委員志偉:那可以飲用,我有喝過。 |
gazette.blocks[34][0] |
賴署長建信:那個水質很好,因為我們都符合國際標準。 |
gazette.blocks[35][0] |
邱委員志偉:所以它主要是產業用水還是民生用水? |
gazette.blocks[36][0] |
賴署長建信:基本上我們會先提供周邊民眾的用水,其他的這些水源我們還可以提供產業的需求。 |
gazette.blocks[37][0] |
邱委員志偉:好,謝謝署長。 |
gazette.blocks[37][1] |
再請教一下部長,我還是覺得對中油好像比較虧待,關於增資的問題,你看那個財務狀況一樣,中油的財務狀況很嚴峻,負債比跟台電是一樣的,他每年提增資計畫都沒有經過部裡面同意,我是覺得這個部分應該要給中油一些計畫,讓他們能夠調整財務結構,部長,你的看法呢? |
gazette.blocks[38][0] |
郭部長智輝:我們這一部分都有在實施、都有在進行。 |
gazette.blocks[39][0] |
邱委員志偉:但是沒有結果,每年報去經濟部都駁回、都不准!總經理,來,你們的想法怎麼樣?今年有沒有再提、明年有沒有再提? |
gazette.blocks[40][0] |
張總經理敏:有,因為114年提嘛,已經快結束了。 |
gazette.blocks[41][0] |
邱委員志偉:明年提多少? |
gazette.blocks[42][0] |
張總經理敏:所以我們現在想說再編115,這是走內部的程序。 |
gazette.blocks[43][0] |
邱委員志偉:100億呀? |
gazette.blocks[44][0] |
張總經理敏:不是,115年的預算。 |
gazette.blocks[45][0] |
邱委員志偉:對,編多少? |
gazette.blocks[46][0] |
張總經理敏:那是走內部程序,先經董事會通過之後才能送到大部那邊去。 |
gazette.blocks[47][0] |
邱委員志偉:計畫是多少嘛?你們計畫是多少?我要跟幫你跟部長爭取呀! |
gazette.blocks[48][0] |
張總經理敏:就是四年3,500億,四年度分開編。 |
gazette.blocks[49][0] |
邱委員志偉:你們要重新提,我也可以跟總統建議,四年3,500億,你們提的計畫是這樣子? |
gazette.blocks[50][0] |
郭部長智輝:不要報告金額,會嚇死人,你要講說調整幾個百分比。 |
gazette.blocks[51][0] |
張總經理敏:是! |
gazette.blocks[52][0] |
郭部長智輝:你如果說…… |
gazette.blocks[53][0] |
邱委員志偉:明年度如果重新再提的話,我覺得不見得完全照中油的要求,但是不是可以在財務上給中油一些支持?否則就重電輕油,這個對…… |
gazette.blocks[54][0] |
郭部長智輝:報告委員,絕對沒有重電輕油這回事! |
gazette.blocks[55][0] |
邱委員志偉:是啦,人家會有這樣的感受。 |
gazette.blocks[56][0] |
郭部長智輝:他們兩個、大家都一樣英俊,所以不可能說…… |
gazette.blocks[57][0] |
邱委員志偉:人家會有這樣的感受。 |
gazette.blocks[57][1] |
另外,川普上來之後,對中國加10%關稅,他課徵關稅的理由完全是依他個人意志!例如毒品太多、移民太多,他找任何理由就可以課。臺灣過去商業機密常常會……您在半導體業待過,您是公司的領導人,你知道商業間諜以前會把這些商業機密帶到中國那邊去,會不會因為這樣子成為一個理由或者破口讓川普對我國政府課稅?有沒有這個可能性? |
gazette.blocks[58][0] |
郭部長智輝:不可能,因為我們現在……我請國貿署。 |
gazette.blocks[59][0] |
邱委員志偉:署長。 |
gazette.blocks[60][0] |
江署長文若:報告委員,過去在川普第一任的時候,曾經因為他認為中國竊取了美國相關的高科技技術,所以他有課徵相關的關稅,那是在他第一任的時候,他進行了301的調查…… |
gazette.blocks[61][0] |
邱委員志偉:那你為什麼認為第二任不會呢? |
gazette.blocks[62][0] |
江署長文若:您是說對…… |
gazette.blocks[63][0] |
邱委員志偉:第一任有嘛,第二任為什麼你認為不會呢? |
gazette.blocks[64][0] |
江署長文若:現在因為川普還沒上任,但是他過去在競選期間有很多的言論,所以他上任之後到底會對特定的國家採取多少的關稅?我覺得這個大家都還在密切觀察。 |
gazette.blocks[65][0] |
邱委員志偉:這方面部長可能比較清楚,如果這種情況一再發生,也就是說,我們的高科技被商業間諜轉到中國去,美國當然會感冒。 |
gazette.blocks[66][0] |
郭部長智輝:現在我們都配合美國的安全管制。 |
gazette.blocks[67][0] |
邱委員志偉:但是很多公司不守法啊。 |
gazette.blocks[68][0] |
郭部長智輝:不會!現在沒有那麼簡單可以出去,出口管制是我們目前,一直到他真正上任…… |
gazette.blocks[69][0] |
邱委員志偉:中國無所不用其極喔,他會威脅利誘、在臺灣的高科技公司會偷技術! |
gazette.blocks[70][0] |
郭部長智輝:報告委員,我想美國比較擔心的是先進製程,那我相信所有先進製程…… |
gazette.blocks[71][0] |
邱委員志偉:成熟製程就不管制喔? |
gazette.blocks[72][0] |
郭部長智輝:人都被控制了,現在我們所有先進製程的人員都被美國控制。 |
gazette.blocks[73][0] |
邱委員志偉:那你只針對先進製程,成熟製程不管制? |
gazette.blocks[74][0] |
郭部長智輝:先進製程管制。 |
gazette.blocks[75][0] |
邱委員志偉:成熟製程有沒有管制? |
gazette.blocks[76][0] |
郭部長智輝:成熟製程其實沒有意義,那個已經變成紅海的市場。 |
gazette.blocks[77][0] |
邱委員志偉:謝謝,因為時間到。 |
gazette.blocks[78][0] |
主席:請謝衣鳯委員質詢。 |
gazette.agenda.page_end |
308 |
gazette.agenda.meet_id |
委員會-11-2-19-17 |
gazette.agenda.speakers[0] |
呂玉玲 |
gazette.agenda.speakers[1] |
賴瑞隆 |
gazette.agenda.speakers[2] |
林岱樺 |
gazette.agenda.speakers[3] |
邱議瑩 |
gazette.agenda.speakers[4] |
張啓楷 |
gazette.agenda.speakers[5] |
鄭正鈐 |
gazette.agenda.speakers[6] |
楊瓊瓔 |
gazette.agenda.speakers[7] |
陳亭妃 |
gazette.agenda.speakers[8] |
鄭天財Sra Kacaw |
gazette.agenda.speakers[9] |
賴士葆 |
gazette.agenda.speakers[10] |
邱志偉 |
gazette.agenda.speakers[11] |
謝衣鳯 |
gazette.agenda.speakers[12] |
林月琴 |
gazette.agenda.speakers[13] |
蔡易餘 |
gazette.agenda.speakers[14] |
黃國昌 |
gazette.agenda.speakers[15] |
牛煦庭 |
gazette.agenda.speakers[16] |
陳超明 |
gazette.agenda.speakers[17] |
鍾佳濱 |
gazette.agenda.speakers[18] |
何欣純 |
gazette.agenda.speakers[19] |
葉元之 |
gazette.agenda.speakers[20] |
林倩綺 |
gazette.agenda.speakers[21] |
洪孟楷 |
gazette.agenda.speakers[22] |
張嘉郡 |
gazette.agenda.page_start |
245 |
gazette.agenda.meetingDate[0] |
2024-11-27 |
gazette.agenda.gazette_id |
11310501 |
gazette.agenda.agenda_lcidc_ids[0] |
11310501_00010 |
gazette.agenda.meet_name |
立法院第11屆第2會期經濟委員會第17次全體委員會議紀錄 |
gazette.agenda.content |
審查114年度中央政府總預算案關於經濟部及所屬單位預算部分(詢答) |
gazette.agenda.agenda_id |
11310501_00012 |