影片長度 |
524 |
委員名稱 |
鄭天財Sra Kacaw |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fbd4f581a444b493231043ba0f6f79450e1b3eec0bde5d39a4e90424c991911144fa94be23543b065ea18f28b6918d91.mp4/playlist.m3u8 |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
0.35159375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
1.56659375 |
transcript.pyannote[1].end |
2.37659375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
20.06159375 |
transcript.pyannote[2].end |
20.85471875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
20.98971875 |
transcript.pyannote[3].end |
22.44096875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
22.52534375 |
transcript.pyannote[4].end |
23.40284375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
30.01784375 |
transcript.pyannote[5].end |
31.28346875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
32.80221875 |
transcript.pyannote[6].end |
33.64596875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
34.37159375 |
transcript.pyannote[7].end |
35.58659375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
36.16034375 |
transcript.pyannote[8].end |
39.23159375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
40.21034375 |
transcript.pyannote[9].end |
41.45909375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
42.23534375 |
transcript.pyannote[10].end |
43.70346875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
43.90596875 |
transcript.pyannote[11].end |
44.63159375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
44.98596875 |
transcript.pyannote[12].end |
48.66471875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
49.55909375 |
transcript.pyannote[13].end |
51.17909375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
51.83721875 |
transcript.pyannote[14].end |
52.91721875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
53.89596875 |
transcript.pyannote[15].end |
55.38096875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
56.00534375 |
transcript.pyannote[16].end |
56.96721875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
57.43971875 |
transcript.pyannote[17].end |
58.43534375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
58.85721875 |
transcript.pyannote[18].end |
59.78534375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
60.81471875 |
transcript.pyannote[19].end |
61.79346875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
62.67096875 |
transcript.pyannote[20].end |
63.68346875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
64.37534375 |
transcript.pyannote[21].end |
65.38784375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
66.73784375 |
transcript.pyannote[22].end |
68.54346875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
69.28596875 |
transcript.pyannote[23].end |
70.78784375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
71.22659375 |
transcript.pyannote[24].end |
72.18846875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
72.39096875 |
transcript.pyannote[25].end |
73.89284375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
74.16284375 |
transcript.pyannote[26].end |
75.58034375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
76.17096875 |
transcript.pyannote[27].end |
77.23409375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
78.19596875 |
transcript.pyannote[28].end |
79.52909375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
80.15346875 |
transcript.pyannote[29].end |
80.47409375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
81.48659375 |
transcript.pyannote[30].end |
82.90409375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
84.37221875 |
transcript.pyannote[31].end |
88.03409375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
88.79346875 |
transcript.pyannote[32].end |
91.51034375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
92.01659375 |
transcript.pyannote[33].end |
93.06284375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
93.31596875 |
transcript.pyannote[34].end |
94.53096875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
95.07096875 |
transcript.pyannote[35].end |
95.91471875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
96.42096875 |
transcript.pyannote[36].end |
97.31534375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
97.46721875 |
transcript.pyannote[37].end |
99.07034375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
99.39096875 |
transcript.pyannote[38].end |
100.11659375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
100.21784375 |
transcript.pyannote[39].end |
101.36534375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
101.85471875 |
transcript.pyannote[40].end |
103.55909375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
104.38596875 |
transcript.pyannote[41].end |
104.85846875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
106.02284375 |
transcript.pyannote[42].end |
107.76096875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
108.19971875 |
transcript.pyannote[43].end |
109.93784375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
110.66346875 |
transcript.pyannote[44].end |
113.43096875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
113.92034375 |
transcript.pyannote[45].end |
114.94971875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
115.06784375 |
transcript.pyannote[46].end |
116.01284375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
116.55284375 |
transcript.pyannote[47].end |
117.70034375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
118.39221875 |
transcript.pyannote[48].end |
121.51409375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
122.18909375 |
transcript.pyannote[49].end |
123.42096875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
123.69096875 |
transcript.pyannote[50].end |
123.77534375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
126.18846875 |
transcript.pyannote[51].end |
127.89284375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
128.60159375 |
transcript.pyannote[52].end |
130.01909375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
130.76159375 |
transcript.pyannote[53].end |
131.48721875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
131.87534375 |
transcript.pyannote[54].end |
133.90034375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
134.91284375 |
transcript.pyannote[55].end |
136.07721875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
137.17409375 |
transcript.pyannote[56].end |
141.20721875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
142.23659375 |
transcript.pyannote[57].end |
145.40909375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
145.74659375 |
transcript.pyannote[58].end |
147.33284375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
148.31159375 |
transcript.pyannote[59].end |
149.27346875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
150.45471875 |
transcript.pyannote[60].end |
151.12971875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
151.36596875 |
transcript.pyannote[61].end |
151.72034375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
152.47971875 |
transcript.pyannote[62].end |
153.22221875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
154.13346875 |
transcript.pyannote[63].end |
156.22596875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
157.23846875 |
transcript.pyannote[64].end |
157.49159375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
157.79534375 |
transcript.pyannote[65].end |
158.70659375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
159.22971875 |
transcript.pyannote[66].end |
161.01846875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
161.57534375 |
transcript.pyannote[67].end |
162.33471875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
162.95909375 |
transcript.pyannote[68].end |
163.87034375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
164.98409375 |
transcript.pyannote[69].end |
165.50721875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
166.11471875 |
transcript.pyannote[70].end |
168.24096875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
168.81471875 |
transcript.pyannote[71].end |
169.96221875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
170.58659375 |
transcript.pyannote[72].end |
171.58221875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
172.59471875 |
transcript.pyannote[73].end |
173.08409375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
173.60721875 |
transcript.pyannote[74].end |
175.61534375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
176.44221875 |
transcript.pyannote[75].end |
178.78784375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
179.41221875 |
transcript.pyannote[76].end |
180.49221875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
180.94784375 |
transcript.pyannote[77].end |
181.43721875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
182.50034375 |
transcript.pyannote[78].end |
183.68159375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
183.68159375 |
transcript.pyannote[79].end |
183.71534375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
183.71534375 |
transcript.pyannote[80].end |
185.03159375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
185.03159375 |
transcript.pyannote[81].end |
185.97659375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
186.46596875 |
transcript.pyannote[82].end |
186.71909375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
186.97221875 |
transcript.pyannote[83].end |
191.68034375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
191.73096875 |
transcript.pyannote[84].end |
206.24346875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
206.53034375 |
transcript.pyannote[85].end |
234.61034375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
235.47096875 |
transcript.pyannote[86].end |
237.96846875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
237.96846875 |
transcript.pyannote[87].end |
238.27221875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
238.99784375 |
transcript.pyannote[88].end |
239.01471875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
239.01471875 |
transcript.pyannote[89].end |
239.82471875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
240.11159375 |
transcript.pyannote[90].end |
242.00159375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
242.47409375 |
transcript.pyannote[91].end |
244.41471875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
244.80284375 |
transcript.pyannote[92].end |
245.51159375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
246.06846875 |
transcript.pyannote[93].end |
247.72221875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
248.02596875 |
transcript.pyannote[94].end |
249.47721875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
249.69659375 |
transcript.pyannote[95].end |
250.84409375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
251.56971875 |
transcript.pyannote[96].end |
252.02534375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
252.34596875 |
transcript.pyannote[97].end |
252.56534375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
253.27409375 |
transcript.pyannote[98].end |
254.26971875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
256.22721875 |
transcript.pyannote[99].end |
257.54346875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
257.99909375 |
transcript.pyannote[100].end |
259.23096875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
259.41659375 |
transcript.pyannote[101].end |
260.24346875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
262.74096875 |
transcript.pyannote[102].end |
265.12034375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
265.79534375 |
transcript.pyannote[103].end |
268.79909375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
269.28846875 |
transcript.pyannote[104].end |
271.97159375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
272.76471875 |
transcript.pyannote[105].end |
273.70971875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
274.58721875 |
transcript.pyannote[106].end |
277.79346875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
278.51909375 |
transcript.pyannote[107].end |
279.86909375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
281.23596875 |
transcript.pyannote[108].end |
284.02034375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
284.29034375 |
transcript.pyannote[109].end |
286.34909375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
286.97346875 |
transcript.pyannote[110].end |
287.59784375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
288.40784375 |
transcript.pyannote[111].end |
291.63096875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
292.33971875 |
transcript.pyannote[112].end |
295.05659375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
296.05221875 |
transcript.pyannote[113].end |
296.76096875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
297.73971875 |
transcript.pyannote[114].end |
300.35534375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
300.72659375 |
transcript.pyannote[115].end |
302.90346875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
303.44346875 |
transcript.pyannote[116].end |
305.29971875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
305.83971875 |
transcript.pyannote[117].end |
307.74659375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
308.25284375 |
transcript.pyannote[118].end |
308.62409375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
310.10909375 |
transcript.pyannote[119].end |
310.88534375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
311.18909375 |
transcript.pyannote[120].end |
311.45909375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
311.61096875 |
transcript.pyannote[121].end |
312.50534375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
313.07909375 |
transcript.pyannote[122].end |
313.58534375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
313.85534375 |
transcript.pyannote[123].end |
314.81721875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
315.39096875 |
transcript.pyannote[124].end |
317.26409375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
318.54659375 |
transcript.pyannote[125].end |
320.16659375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
321.04409375 |
transcript.pyannote[126].end |
322.07346875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
323.18721875 |
transcript.pyannote[127].end |
326.66346875 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
326.96721875 |
transcript.pyannote[128].end |
328.26659375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
328.92471875 |
transcript.pyannote[129].end |
332.21534375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
332.53596875 |
transcript.pyannote[130].end |
333.31221875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
333.88596875 |
transcript.pyannote[131].end |
334.67909375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
335.20221875 |
transcript.pyannote[132].end |
336.31596875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
336.73784375 |
transcript.pyannote[133].end |
337.80096875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
338.57721875 |
transcript.pyannote[134].end |
339.96096875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
340.45034375 |
transcript.pyannote[135].end |
341.12534375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
341.44596875 |
transcript.pyannote[136].end |
342.82971875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
343.26846875 |
transcript.pyannote[137].end |
344.04471875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
344.71971875 |
transcript.pyannote[138].end |
347.99346875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
348.60096875 |
transcript.pyannote[139].end |
350.11971875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
350.42346875 |
transcript.pyannote[140].end |
351.58784375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
352.06034375 |
transcript.pyannote[141].end |
352.75221875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
353.17409375 |
transcript.pyannote[142].end |
353.79846875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
354.59159375 |
transcript.pyannote[143].end |
356.39721875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
357.15659375 |
transcript.pyannote[144].end |
358.86096875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
359.94096875 |
transcript.pyannote[145].end |
363.11346875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
363.65346875 |
transcript.pyannote[146].end |
364.21034375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
364.51409375 |
transcript.pyannote[147].end |
365.62784375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
366.18471875 |
transcript.pyannote[148].end |
367.60221875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
368.09159375 |
transcript.pyannote[149].end |
369.71159375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
369.99846875 |
transcript.pyannote[150].end |
370.94346875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
371.48346875 |
transcript.pyannote[151].end |
372.64784375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
373.30596875 |
transcript.pyannote[152].end |
375.12846875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
375.73596875 |
transcript.pyannote[153].end |
376.73159375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
377.08596875 |
transcript.pyannote[154].end |
377.89596875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
378.28409375 |
transcript.pyannote[155].end |
379.12784375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
379.90409375 |
transcript.pyannote[156].end |
380.73096875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
381.11909375 |
transcript.pyannote[157].end |
381.72659375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
382.57034375 |
transcript.pyannote[158].end |
382.77284375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
383.21159375 |
transcript.pyannote[159].end |
384.59534375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
385.11846875 |
transcript.pyannote[160].end |
387.76784375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
388.45971875 |
transcript.pyannote[161].end |
391.37909375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
391.78409375 |
transcript.pyannote[162].end |
395.05784375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
395.47971875 |
transcript.pyannote[163].end |
396.84659375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
397.26846875 |
transcript.pyannote[164].end |
397.85909375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
402.56721875 |
transcript.pyannote[165].end |
403.88346875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
404.86221875 |
transcript.pyannote[166].end |
410.56596875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
411.15659375 |
transcript.pyannote[167].end |
414.29534375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
414.44721875 |
transcript.pyannote[168].end |
416.08409375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
416.82659375 |
transcript.pyannote[169].end |
418.12596875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
418.69971875 |
transcript.pyannote[170].end |
419.89784375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
420.11721875 |
transcript.pyannote[171].end |
420.64034375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
421.28159375 |
transcript.pyannote[172].end |
422.02409375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
422.44596875 |
transcript.pyannote[173].end |
422.81721875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
423.62721875 |
transcript.pyannote[174].end |
424.36971875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
424.96034375 |
transcript.pyannote[175].end |
426.69846875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
427.79534375 |
transcript.pyannote[176].end |
428.79096875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
429.39846875 |
transcript.pyannote[177].end |
430.32659375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
430.63034375 |
transcript.pyannote[178].end |
431.67659375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
432.41909375 |
transcript.pyannote[179].end |
434.15721875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
434.42721875 |
transcript.pyannote[180].end |
437.41409375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
434.46096875 |
transcript.pyannote[181].end |
435.23721875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
438.20721875 |
transcript.pyannote[182].end |
443.43846875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
442.98284375 |
transcript.pyannote[183].end |
443.38784375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
444.78846875 |
transcript.pyannote[184].end |
446.32409375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
446.96534375 |
transcript.pyannote[185].end |
450.88034375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
451.69034375 |
transcript.pyannote[186].end |
453.00659375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
453.51284375 |
transcript.pyannote[187].end |
456.83721875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
457.68096875 |
transcript.pyannote[188].end |
458.00159375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
458.77784375 |
transcript.pyannote[189].end |
460.24596875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
460.43159375 |
transcript.pyannote[190].end |
461.51159375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
461.76471875 |
transcript.pyannote[191].end |
463.35096875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
463.89096875 |
transcript.pyannote[192].end |
466.28721875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
466.60784375 |
transcript.pyannote[193].end |
469.05471875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
469.40909375 |
transcript.pyannote[194].end |
472.02471875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
472.69971875 |
transcript.pyannote[195].end |
473.42534375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
473.83034375 |
transcript.pyannote[196].end |
475.33221875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
475.63596875 |
transcript.pyannote[197].end |
477.27284375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
479.34846875 |
transcript.pyannote[198].end |
480.39471875 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
481.25534375 |
transcript.pyannote[199].end |
481.89659375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
482.09909375 |
transcript.pyannote[200].end |
486.89159375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
487.41471875 |
transcript.pyannote[201].end |
488.62971875 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
489.18659375 |
transcript.pyannote[202].end |
493.05096875 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
493.16909375 |
transcript.pyannote[203].end |
493.37159375 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
495.00846875 |
transcript.pyannote[204].end |
495.80159375 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
497.18534375 |
transcript.pyannote[205].end |
500.62784375 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
500.86409375 |
transcript.pyannote[206].end |
502.80471875 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
503.61471875 |
transcript.pyannote[207].end |
503.90159375 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
504.79596875 |
transcript.pyannote[208].end |
508.69409375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
509.60534375 |
transcript.pyannote[209].end |
510.68534375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
510.76971875 |
transcript.pyannote[210].end |
515.42721875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
516.00096875 |
transcript.pyannote[211].end |
518.76846875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
518.98784375 |
transcript.pyannote[212].end |
524.65784375 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
520.28721875 |
transcript.pyannote[213].end |
520.30409375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
520.32096875 |
transcript.pyannote[214].end |
520.47284375 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
521.23221875 |
transcript.pyannote[215].end |
522.85221875 |
transcript.whisperx[0].start |
20.334 |
transcript.whisperx[0].end |
22.315 |
transcript.whisperx[0].text |
主席有請劉主委請光輝劉主委 |
transcript.whisperx[1].start |
30.806 |
transcript.whisperx[1].end |
50.659 |
transcript.whisperx[1].text |
主委好今天你的報告我覺得非常好你的報告業務報告那我們先看這個原住民與全國民的每人每業主要工作平均收入如果我們說這10年來102年 |
transcript.whisperx[2].start |
54.459 |
transcript.whisperx[2].end |
82.466 |
transcript.whisperx[2].text |
這個原住民的平均收入兩萬六千三百七十三跟全國的這個落差差不多一萬左右然後除了一百零六年這原住民的平均收入每年成長但是一百零六年是減少減少兩萬八千那如果我們整個到整個十年來看 |
transcript.whisperx[3].start |
84.417 |
transcript.whisperx[3].end |
104.7 |
transcript.whisperx[3].text |
全國國民跟原住民的平均收入的落差其實沒有什麼太大的改變對原住民而言沒有比較好因為都是在一萬到八千之間這個落差都維持在一萬到八千之間所以 |
transcript.whisperx[4].start |
106.498 |
transcript.whisperx[4].end |
133.327 |
transcript.whisperx[4].text |
這個除了嚴明會之外很重要的就是各部會尤其是國發會、經濟部等各部會都有希望能夠給予協助這個是一個基本的數字先讓這個主委瞭解你的報告我真的是非常謝謝會提到這個不遺落任何人的公正專心 |
transcript.whisperx[5].start |
134.96 |
transcript.whisperx[5].end |
163.455 |
transcript.whisperx[5].text |
有這樣的一個報告第一個確保個人、產業與群體發展的機會確認公正轉型對象與範疇及建立補償策略與機制就個人而言就是原住民個人每一個個人就群體而言原住民族所以這個部分當然跟我們原住民的就業的那個 |
transcript.whisperx[6].start |
165.051 |
transcript.whisperx[6].end |
181.031 |
transcript.whisperx[6].text |
方向當然跟我們的基礎環境跟我們的產業也都有關係所以這個主委如果從你剛才你的報告然後從我剛才的一個就收入的比較 |
transcript.whisperx[7].start |
182.54 |
transcript.whisperx[7].end |
205.958 |
transcript.whisperx[7].text |
主委有沒有什麼可以協助的部分跟委員說明一下其實這分兩個件事情第一件事情這個不遺落任何人的公正轉型其實是主要您看下面主要是為了2050年的淨零轉型那因為淨零的過程中會產生公正轉型的問題我們同仁 |
transcript.whisperx[8].start |
206.698 |
transcript.whisperx[8].end |
234.306 |
transcript.whisperx[8].text |
漏了近鄰公正轉型兩個字啦齁但是所以這個是以近鄰為主但是委員提的當然這個問題也是我們社會現象的一部分我們也該重視就是說原住民的收入平均比較低那我的想法是說可能我來找原民會找這個經濟部大家我們坐下來開個會來討論一下啦然後再跟委員做一個報告看看我們用什麼方式來逐步的把它改善 |
transcript.whisperx[9].start |
235.506 |
transcript.whisperx[9].end |
264.352 |
transcript.whisperx[9].text |
好 非常謝謝還要加勞動部了好的還要加勞動部所以這個部分要請這個主委經濟部那個經濟國發會經濟部相關的部會當然我們看這個也請那個經濟部次長經濟部何次長我們看原住民基本法第18條 |
transcript.whisperx[10].start |
265.854 |
transcript.whisperx[10].end |
294.911 |
transcript.whisperx[10].text |
政府應設原住民族綜合發展基金辦理原住民族經濟發展業務上個禮拜五我在總質詢的時候也質詢了行政院院長就接條條文了這個我在省政府當副局長原住民行政局副局長的時候開始設置這個原住民族經濟事業發展基金現在改為原住民族綜合發展基金 |
transcript.whisperx[11].start |
296.109 |
transcript.whisperx[11].end |
319.029 |
transcript.whisperx[11].text |
最主要提供原住民辦理經濟事業貸款、住宅貸款、青年創業貸款、微型經濟活動貸款及原住民主事業貸款等等。好不容易在省議員以及今省之後的立法委員的督促我們協調組織總署每年編列 |
transcript.whisperx[12].start |
323.964 |
transcript.whisperx[12].end |
343.938 |
transcript.whisperx[12].text |
幾億幾億的錢投入到這個經濟發展基金的綜合發展基金裡面到105年了這個基金有117億7000多萬來辦理相關的經濟發展的業務但是很可惜被挪用到這個淨法補償的費用去了 |
transcript.whisperx[13].start |
344.995 |
transcript.whisperx[13].end |
358.143 |
transcript.whisperx[13].text |
所以現在這個基金累積短促也就是財源不足68億8千多萬8千多萬這個部分也因為這個部分導致我們的總預算 |
transcript.whisperx[14].start |
359.997 |
transcript.whisperx[14].end |
380.584 |
transcript.whisperx[14].text |
一直來來回回一直沒有辦法復為審查所以我一直尋求因為我是老公務員一直尋求怎麼樣去解決這個這樣的一個困境所以也要請國發會啊也要請國發會啊也要請國發會啊也要請國發會啊也要請國發會啊也要請國發會啊也要請國發會啊也要請國發會啊也要請國發會啊 |
transcript.whisperx[15].start |
383.757 |
transcript.whisperx[15].end |
403.413 |
transcript.whisperx[15].text |
這個進法補償明年的預算就是少編17億而已辦理追加預算就可以解決的事情了所以這個部分我們共同的來努力好 我們請劉主委回座好 這個次長 |
transcript.whisperx[16].start |
404.929 |
transcript.whisperx[16].end |
415.857 |
transcript.whisperx[16].text |
在你的書面報告裡面提到臺灣中小企業是經濟發展的磐石目前中小企業有超過163萬家目前臺灣新創企業有7900家這個部分是不是能夠會後盤點一下原住民到底有幾家 |
transcript.whisperx[17].start |
432.472 |
transcript.whisperx[17].end |
456.213 |
transcript.whisperx[17].text |
好,可以嗎?好,可以。好,謝謝。那個如果不知道他的這個可以問演民會怎麼樣去查這個他到底是不是有演出名身份好,人才面的部分捷訓學院超過46000多人次然後培育超過4500名的第一段專業人才 |
transcript.whisperx[18].start |
459.074 |
transcript.whisperx[18].end |
476.824 |
transcript.whisperx[18].text |
也希望請經濟部提供原住民到底有多少方法很簡單我過去在延民會服務的時候很簡單的方式就是你把他們的這些身分證、字號給延民會延民會電腦一查就知道就有了好不好很簡單 |
transcript.whisperx[19].start |
481.338 |
transcript.whisperx[19].end |
487.84 |
transcript.whisperx[19].text |
培育524家新創及732位創業家提供最低八成保證以及低利貸款利息一期補貼並額外提供保證融資額度最高一元之優惠 |
transcript.whisperx[20].start |
509.656 |
transcript.whisperx[20].end |
521.105 |
transcript.whisperx[20].text |
然後辦理一百一十二年期經已辦理一萬八千兩百二十三件這個部分到底有沒有原住民是好不好好都是數據啦好謝謝謝謝政經事務委員 |
會議時間 |
2024-10-07T09:00:00+08:00 |
委員發言時間 |
11:11:26 - 11:20:10 |
會議名稱 |
立法院第11屆第2會期經濟委員會第3次全體委員會議(事由:一、邀請國家發展委員會主任委員列席報告業務概況,並備質詢。
二、邀請國家發展委員會主任委員、經濟部次長就「我國政府對新創及中小企業扶植政策執行狀況與未來精進措施(含政策、人才、法制、稅制、資金、區域平衡等六大面向)」進行報告,並備質詢。) |
gazette.lineno |
513 |
gazette.blocks[0][0] |
鄭天財Sra Kacaw委員:(11時11分)主席,有請劉主委。 |
gazette.blocks[1][0] |
主席:請國發會劉主委。 |
gazette.blocks[2][0] |
劉主任委員鏡清:鄭委員好。 |
gazette.blocks[3][0] |
鄭天財Sra Kacaw委員:主委好,今天你的業務報告我覺得非常好。我們先來看原住民與全國國民每人每月主要工作平均收入,這10年來,102年原住民的平均收入是2萬6,373元,跟全國的落差差不多是1萬元左右。除了106年,原住民的平均收入是每年成長,但是106年是減少,2萬8,000元。如果以這10年來看,全國國民跟原住民平均收入的落差其實沒有什麼太大的改變,對原住民而言沒有比較好,因為都是在1萬到8,000元之間,這個落差都維持在1萬到8,000元之間,所以除了原民會之外,很重要的就是各部會,尤其是國發會、經濟部等,希望各部會都能夠給予協助,這是一個基本的數字,先讓主委瞭解。 |
gazette.blocks[3][1] |
我真的非常謝謝你在報告中提到「不遺落任何人的公正轉型」,有這樣的一個報告。第一個,「確保個人、產業與群體發展機會:確認公正轉型對象與範疇及建立補償策略與機制」,就個人而言,就是原住民每一個個人;就群體而言就是原住民族,所以這部分當然跟我們原住民的就業方向、居住環境、產業都有關係,所以如果從你剛才的報告,然後從我剛才就收入的比較,主委有沒有什麼可以協助的部分? |
gazette.blocks[4][0] |
劉主任委員鏡清:跟委員說明一下,其實這個分兩件事情,第一件事情,「不遺落任何人的公正轉型」,您看簡報下面,主要是為了2050年的淨零轉型,因為淨零的過程中會產生公正轉型的問題,「淨零公正轉型」我們同仁漏了兩個字,所以這個是以「淨零」為主。但是委員所提的,當然這個問題也是社會現象的一部分,我們也該重視,就是說原住民的收入平均比較低,那我的想法是,可能我來找原民會、經濟部,大家坐下來開個會來討論一下,然後再跟委員做一個報告,看看我們用什麼方式來逐步地把它改善。 |
gazette.blocks[5][0] |
鄭天財Sra Kacaw委員:好,非常謝謝,還要加勞動部。 |
gazette.blocks[6][0] |
劉主任委員鏡清:好的。 |
gazette.blocks[7][0] |
鄭天財Sra Kacaw委員:還要加勞動部,所以這個部分要請國發會、經濟部及相關的部會。 |
gazette.blocks[7][1] |
我們看這個簡報,也請經濟部次長上來。 |
gazette.blocks[8][0] |
主席:經濟部何次長。 |
gazette.blocks[9][0] |
鄭天財Sra Kacaw委員:我們看原住民族基本法第十八條,「政府應設原住民族綜合發展基金,辦理原住民族經濟發展業務」,上個禮拜五我在總質詢的時候,就這一條條文也質詢了行政院院長,我在省政府當原住民行政局副局長的時候,開始設置原住民族經濟事業發展基金,現在改為原住民族綜合發展基金,最主要提供原住民辦理經濟事業貸款、住宅貸款、青年創業貸款、微型經濟活動貸款及原住民族事業貸款等等,好不容易在省議員以及精省之後,經過立法委員的督促,我們協調主計總處每年編列幾億、幾億的錢投入到這個綜合發展基金裡面,到105年,這個基金有一百十七億七千多萬元來辦理相關的經濟發展業務,但是很可惜被挪用到禁伐補償的費用去了,所以現在這個基金累積短絀,也就是財源不足六十三億八千多萬,也因為這個部分導致我們的總預算一直來來回回,一直沒有辦法付委審查。因為我是老公務員,所以一直在尋求怎麼樣去解決這樣的困境,也要請國發會劉主委能夠共同地去協調,其實禁伐補償明年的預算就是少編17億而已,辦理追加預算就可以解決的事情,所以這個部分我們共同來努力,好,請劉主委回座。 |
gazette.blocks[9][1] |
次長,在你的書面報告裡面提到,臺灣中小企業是經濟發展的磐石,目前中小企業有超過163萬家,然後目前臺灣新創企業有7,900家,這個部分是不是會後能夠盤點一下原住民到底有幾家?可以嗎? |
gazette.blocks[10][0] |
何次長晉滄:好,可以。 |
gazette.blocks[11][0] |
鄭天財Sra Kacaw委員:好,謝謝。如果不知道他的身分,可以問原民會怎麼樣去查他到底是不是有原住民身分。 |
gazette.blocks[12][0] |
何次長晉滄:好,是。 |
gazette.blocks[13][0] |
鄭天財Sra Kacaw委員:好,人才面的部分,結訓學員超過四萬六千多人次,然後培育超過4,500名的低碳專業人才,也請經濟部提供原住民到底有多少。 |
gazette.blocks[14][0] |
何次長晉滄:是。 |
gazette.blocks[15][0] |
鄭天財Sra Kacaw委員:方法很簡單啦!我過去在原民會服務的時候,很簡單的方式就是你把他們的身分證字號給原民會,原民會電腦一查就知道、就有了,好不好?很簡單。 |
gazette.blocks[16][0] |
何次長晉滄:好,是。 |
gazette.blocks[17][0] |
鄭天財Sra Kacaw委員:然後培育524家新創及732位創業家,也是一樣,我想瞭解到底原住民有多少。 |
gazette.blocks[17][1] |
再來,提供最低八成保證,以及低利率貸款與利息補貼,並額外提供保證融資額度最高1億元之優惠,自112年迄今已辦理1萬8,223件,這個部分到底有沒有原住民? |
gazette.blocks[18][0] |
何次長晉滄:是。 |
gazette.blocks[19][0] |
鄭天財Sra Kacaw委員:好不好? |
gazette.blocks[20][0] |
何次長晉滄:好。 |
gazette.blocks[21][0] |
鄭天財Sra Kacaw委員:都是數據啦! |
gazette.blocks[22][0] |
何次長晉滄:好。 |
gazette.blocks[23][0] |
鄭天財Sra Kacaw委員:好,謝謝。 |
gazette.blocks[24][0] |
何次長晉滄:謝謝委員。 |
gazette.blocks[25][0] |
主席:謝謝鄭天財委員非常精準的發言,請回座。 |
gazette.blocks[25][1] |
下一位質詢請呂玉玲召委。 |
gazette.agenda.page_end |
290 |
gazette.agenda.meet_id |
委員會-11-2-19-3 |
gazette.agenda.speakers[0] |
邱志偉 |
gazette.agenda.speakers[1] |
邱議瑩 |
gazette.agenda.speakers[2] |
陳亭妃 |
gazette.agenda.speakers[3] |
林岱樺 |
gazette.agenda.speakers[4] |
賴瑞隆 |
gazette.agenda.speakers[5] |
張啓楷 |
gazette.agenda.speakers[6] |
鄭正鈐 |
gazette.agenda.speakers[7] |
楊瓊瓔 |
gazette.agenda.speakers[8] |
張嘉郡 |
gazette.agenda.speakers[9] |
蔡易餘 |
gazette.agenda.speakers[10] |
鄭天財Sra Kacaw |
gazette.agenda.speakers[11] |
呂玉玲 |
gazette.agenda.speakers[12] |
陳超明 |
gazette.agenda.speakers[13] |
謝衣鳯 |
gazette.agenda.speakers[14] |
吳春城 |
gazette.agenda.speakers[15] |
麥玉珍 |
gazette.agenda.speakers[16] |
洪孟楷 |
gazette.agenda.speakers[17] |
黃國昌 |
gazette.agenda.speakers[18] |
黃建賓 |
gazette.agenda.speakers[19] |
廖偉翔 |
gazette.agenda.speakers[20] |
羅智強 |
gazette.agenda.speakers[21] |
牛煦庭 |
gazette.agenda.page_start |
237 |
gazette.agenda.meetingDate[0] |
2024-10-07 |
gazette.agenda.gazette_id |
1137901 |
gazette.agenda.agenda_lcidc_ids[0] |
1137901_00007 |
gazette.agenda.meet_name |
立法院第11屆第2會期經濟委員會第3次全體委員會議紀錄 |
gazette.agenda.content |
一、邀請國家發展委員會主任委員列席報告業務概況,並備質詢;二、邀請國家發展委員會主任
委員、經濟部次長就「我國政府對新創及中小企業扶植政策執行狀況與未來精進措施(含政策、
人才、法制、稅制、資金、區域平衡等六大面向)」進行報告,並備質詢 |
gazette.agenda.agenda_id |
1137901_00006 |
IVOD_ID |
155143 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/155143 |
日期 |
2024-10-07 |
會議資料.會議代碼 |
委員會-11-2-19-3 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
3 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.標題 |
第11屆第2會期經濟委員會第3次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-10-07T11:11:26+08:00 |
結束時間 |
2024-10-07T11:20:10+08:00 |
支援功能[0] |
ai-transcript |
支援功能[1] |
gazette |