{"id":2749,"date":"2026-03-12T20:10:45","date_gmt":"2026-03-12T12:10:45","guid":{"rendered":"https:\/\/econ.wp.shu.edu.tw\/?p=2749"},"modified":"2026-03-12T20:10:46","modified_gmt":"2026-03-12T12:10:46","slug":"9%e6%9c%88%e4%bb%bd%e7%9c%8b%e6%9d%bf%e4%ba%ba%e7%89%a9-%e9%99%b3%e4%b8%96%e8%83%bd%e6%95%99%e6%8e%88-2-2-2-3-2-2-2-2-2-2-2","status":"publish","type":"post","link":"http:\/\/econ.wp.shu.edu.tw\/?p=2749","title":{"rendered":"3\u6708\u4efd\u770b\u677f\u4eba\u7269\u2014\u7530\u5f18\u83ef\u526f\u6559\u6388"},"content":{"rendered":"\n<h4><span style=\"color: #ff0000\"><strong>\u70ba\u8d8a\u7701\u96fb\u53cd\u800c\u8d8a\u8017\u96fb\uff1f\u89e3\u78bc\u751f\u6210\u5f0fAI\u7684\u300c\u5091\u6587\u65af\u6096\u8ad6\u300d\u8207\u80fd\u6e90\u6cbb\u7406\u56f0\u5883<\/strong><\/span><\/h4>\n\n\n<p>\u5728\u7d93\u6fdf\u5b78\u7684\u8ab2\u5802\u4e0a\uff0c\u6211\u5011\u90fd\u5b78\u904e\u300c\u50f9\u683c\u4e0b\u964d\u3001\u9700\u6c42\u4e0a\u5347\u300d\u7684\u57fa\u672c\u6cd5\u5247\u3002\u4f46\u5728\u751f\u6210\u5f0f AI \u7684\u6642\u4ee3\uff0c\u9019\u500b\u6cd5\u5247\u6b63\u4ee5\u4e00\u7a2e\u6975\u7aef\u4e14\u5177\u7834\u58de\u6027\u7684\u65b9\u5f0f\uff0c\u6311\u6230\u5168\u7403\u7684\u80fd\u6e90\u57fa\u790e\u8a2d\u65bd\u3002<br \/>\u4eca\u5929\u6211\u5011\u8981\u5206\u4eab\u7684\u662f\u4e00\u7bc7\u525b\u51fa\u7210\u7684\u80fd\u6e90\u7d93\u6fdf\u5b78\u5be6\u8b49\u7814\u7a76\uff0c\u5b83\u4e0d\u50c5\u91cd\u65b0\u6aa2\u9a57\u4e86 150 \u5e74\u524d\u7684\u7d93\u5178\u7406\u8ad6\uff0c\u66f4\u6307\u51fa\u50b3\u7d71\u7d93\u6fdf\u5b78\u5de5\u5177\uff08\u5982\u78b3\u7a05\uff09\u5728\u9762\u5c0d AI \u7522\u696d\u6642\u53ef\u80fd\u9762\u81e8\u7684\u7d50\u69cb\u6027\u5931\u6548\u3002<\/p>\n<p>\u00a0 \u00a0 \ud83d\udea9<strong>\u4e00\u5834\u53f2\u7121\u524d\u4f8b\u7684\u6548\u7387\u9769\u547d<br \/><\/strong>\u6211\u5011\u6b63\u8655\u65bc AI \u904b\u7b97\u6548\u7387\u5448\u73fe\u6307\u6578\u578b\u8e8d\u5347\u7684\u6642\u4ee3\u3002\u5728\u786c\u9ad4\u7aef\uff0c\u4ee5 NVIDIA H200 \u70ba\u4f8b\uff0c\u5176\u63a8\u7406\u541e\u5410\u91cf\u8f03\u524d\u4ee3\u63d0\u5347\u7d04 81.7%\uff0c\u4f46\u984d\u5b9a\u529f\u8017\u537b\u7dad\u6301\u5728 700W \u4e0d\u8b8a\u3002\u5728\u8edf\u9ad4\u8207\u5b9a\u50f9\u7aef\uff0c\u6548\u7387\u7684\u63d0\u5347\u66f4\u70ba\u9a5a\u4eba\u3002\u4ee5 OpenAI \u7684 GPT-4 \u7cfb\u5217\u70ba\u4f8b\uff0c\u5176\u8f38\u51fa\u5b9a\u50f9\u5728 33\u500b\u6708\u5167\u5e74\u964d\u5e45\u9ad8\u9054 73.4%\u3002\u800c\u5728 2025 \u5e74 1 \u6708\u767c\u5e03\u7684\u958b\u6e90\u6a21\u578b DeepSeek-R1\uff0c\u5176 API \u5b9a\u50f9\u751a\u81f3\u4e0d\u5230 OpenAI \u540c\u7d1a\u7522\u54c1\u7684 4%\uff0c\u964d\u5e45\u9ad8\u9054 94.5%\u3002<\/p>\n<p>\u00a0 <strong>\u00a0 \ud83c\udf2a\u6548\u7387\u8d8a\u9ad8\uff0c\u8017\u96fb\u8d8a\u5147\u7684\u300c\u7b97\u529b\u5830\u585e\u6e56\u300d<br \/><\/strong>\u5118\u7ba1 GPU \u6548\u7387\u5e74\u589e 35.8%\u3001API \u50f9\u683c\u5e74\u964d 73.4%\uff0c\u5168\u7403\u8cc7\u6599\u4e2d\u5fc3\u7684\u7e3d\u80fd\u8017\u537b\u672a\u898b\u7de9\u89e3\uff0c\u53cd\u800c\u4ee5\u5e74 15% \u7684\u901f\u5ea6\u6025\u907d\u6500\u5347\u3002\u570b\u969b\u80fd\u6e90\u7f72\uff08IEA\uff09\u9810\u4f30\uff0c\u5168\u7403\u8cc7\u6599\u4e2d\u5fc3\u7528\u96fb\u91cf\u5c07\u5f9e 2024 \u5e74\u7684 415 TWh \u98c6\u5347\u81f3 2030 \u5e74\u7684 945 TWh\u3002<br \/>\u7d93\u6fdf\u5b78\u5bb6 William Stanley Jevons \u65e9\u5728 1865 \u5e74\u5c31\u8b66\u544a\u904e\u9019\u7a2e\u73fe\u8c61\uff1a\u7576\u8cc7\u6e90\u4f7f\u7528\u6548\u7387\u63d0\u5347\u3001\u55ae\u4f4d\u6210\u672c\u4e0b\u964d\u6642\uff0c\u82e5\u9700\u6c42\u7684\u50f9\u683c\u5f48\u6027\u5927\u65bc 1\uff0c\u7e3d\u6d88\u8017\u91cf\u53cd\u800c\u6703\u589e\u52a0\uff0c\u9019\u88ab\u7a31\u70ba\u300c\u5091\u6587\u65af\u6096\u8ad6\uff08Jevons Paradox\uff09\u300d\u3002<br \/>\u7136\u800c\uff0c\u751f\u6210\u5f0f AI \u7684\u60c5\u6cc1\u6bd4\u50b3\u7d71\u7684\u5091\u6587\u65af\u6096\u8ad6\u66f4\u70ba\u68d8\u624b\u3002\u5168\u7403\u8cc7\u6599\u4e2d\u5fc3\u666e\u904d\u5b58\u5728\u9ad8\u9054\u7d04 89% \u7684\u300c\u7b97\u529b\u5197\u9918\uff08Compute<br \/>Reservoir\uff09\u300d\u914d\u7f6e\u3002\u9019\u4e9b\u5e73\u6642\u4f4e\u529f\u8017\u5f85\u6a5f\u7684\u4f3a\u670d\u5668\u5c31\u50cf\u662f\u4e00\u5ea7\u300c\u7b97\u529b\u5830\u585e\u6e56\u300d\uff0c\u4e00\u65e6\u9700\u6c42\u7206\u767c\uff0c\u4fbf\u6703\u5728\u77ac\u9593\u8f49\u5316\u70ba\u9a5a\u4eba\u7684\u96fb\u529b\u8ca0\u8f09\u3002<\/p>\n<p>\u00a0 \u00a0 \u2753<strong>\u50b3\u7d71\u7684\u9023\u7e8c\u5f48\u6027\u6a21\u578b\u5931\u6548\u4e86\u55ce\uff1f<br \/><\/strong>\u9762\u5c0d AI \u80fd\u8017\u5371\u6a5f\uff0c\u653f\u7b56\u5236\u5b9a\u8005\u76f4\u89ba\u4e0a\u6703\u60f3\u52d5\u7528\u7d93\u6fdf\u5b78\u7684\u8001\u6b66\u5668\uff1a\u78b3\u7a05\u3002<br \/>\u4f46\u6211\u5011\u5fc5\u9808\u554f\u5169\u500b\u6838\u5fc3\u554f\u984c\uff1a<br \/>1. \u751f\u6210\u5f0f AI \u7684\u9700\u6c42\u771f\u7684\u662f\u300c\u9023\u7e8c\u7684\u300d\u55ce\uff1f<br \/>2. \u50b3\u7d71\u7684\u50f9\u683c\u578b\u5de5\u5177\uff08\u5982\u78b3\u7a05\uff09\uff0c\u771f\u7684\u80fd\u6709\u6548\u6291\u5236\u9019\u7a2e\u7206\u70b8\u6027\u7684\u80fd\u6e90\u9700\u6c42\u55ce\uff1f<\/p>\n<p>\u00a0 \ud83d\udca1<strong>\u95be\u503c\u4f9d\u8cf4\u578b\u53cd\u5f48\u8207\u6578\u91cf\u578b\u5de5\u5177\u7684\u97cc\u6027<br \/><\/strong>\u6700\u65b0\u7684\u5be6\u8b49\u7814\u7a76\u6307\u51fa\uff0c\u50b3\u7d71\u5efa\u7acb\u5728\u300c\u9023\u7e8c\u9700\u6c42\u66f2\u7dda\u300d\u4e0a\u7684\u5091\u6587\u65af\u6096\u8ad6\uff0c\u7121\u6cd5\u5b8c\u5168\u89e3\u91cb AI \u5e02\u5834\u7684\u884c\u70ba\u3002\u7814\u7a76\u5718\u968a\u63d0\u51fa\u4e86\u4e00\u500b\u65b0\u6846\u67b6\uff1a<strong>\u300c\u95be\u503c\u4f9d\u8cf4\u578b\u53cd\u5f48\uff08Threshold-Dependent Rebound\uff09\u300d<\/strong>\u3002<\/p>\n<p>(\u5716)<\/p>\n<p><span style=\"color: #000080\"><strong>1. \u96d9\u4e8b\u4ef6\u5be6\u8b49\uff1a\u8d85\u904e 10 \u500b\u6a19\u6e96\u5dee\u7684\u96e2\u6563\u8df3\u8e8d<br \/><\/strong><\/span>\u5229\u7528 109 \u9031\u7684\u6578\u64da\uff0c\u5206\u6790\u4e86\u5169\u500b\u91cd\u5927\u885d\u64ca\u4e8b\u4ef6\uff1a2025 \u5e74 1 \u6708\u50f9\u683c\u4e3b\u5c0e\u7684 DeepSeek-R1\uff0c\u4ee5\u53ca 2025 \u5e74 8 \u6708\u80fd\u529b\u4e3b\u5c0e\u7684GPT-5\u3002<br \/>\u7d50\u679c\u767c\u73fe\uff0c\u9019\u5169\u500b\u4e8b\u4ef6\u90fd\u5728\u5e02\u5834\u95dc\u6ce8\u5ea6\uff08Google Trends\uff09\u4e0a\u5f15\u767c\u4e86\u8d85\u904e 10 \u500b\u6a19\u6e96\u5dee\uff0810\u03c3\uff09\u7684\u300c\u96e2\u6563\u8df3\u8e8d\u300d<br \/>\uff08DeepSeek: 11.2\u03c3\uff1bGPT-5: 10.1\u03c3\uff09\u3002\u5728\u958b\u767c\u8005\u884c\u70ba\uff08PyPI \u4e0b\u8f09\u91cf\uff09\u4e0a\uff0c\u4e09\u5927 AI \u5957\u4ef6\u4e5f\u5c55\u73fe\u4e86\u6975\u986f\u8457\u7684\u7d50\u69cb\u65b7\u88c2\u3002\u9019\u8b49\u660e\u4e86AI \u7684\u9700\u6c42\u4e0d\u662f\u5e73\u6ed1\u4e0a\u5347\u7684\uff0c\u800c\u662f\u7576\u50f9\u683c\u6216\u80fd\u529b\u8de8\u8d8a\u7279\u5b9a\u300c\u9580\u6abb\u300d\u6642\uff0c\u6703\u89e3\u9396\u5168\u65b0\u7684\u9ad8\u7b97\u529b\u61c9\u7528\uff08\u5982\u5f9e\u6587\u5b57\u5c0d\u8a71\u8df3\u8e8d\u81f3\u5f71\u7247\u5408\u6210\u6216 AI Agent\uff09\uff0c\u5c0e\u81f4\u9700\u6c42\u5448\u968e\u68af\u5f0f\u7206\u767c\u3002<\/p>\n<p><span style=\"color: #000080\"><strong>2. \u78b3\u7a05\u7684\u50b3\u5c0e\u8870\u6e1b vs. \u5b9a\u984d\u7684\u97cc\u6027\u9632\u79a6<br \/><\/strong><\/span>\u5982\u679c\u9700\u6c42\u662f\u7206\u767c\u5f0f\u7684\uff0c\u653f\u7b56\u5de5\u5177\u8a72\u5982\u4f55\u8a2d\u8a08\uff1f\u7814\u7a76\u5718\u968a\u5229\u7528\u4ee3\u7406\u4eba\u57fa\u790e\u6a21\u578b\uff08ABM\uff09\u9032\u884c\u4e86\u653f\u7b56\u60c5\u5883\u6a21\u64ec\u3002<br \/>\u7d50\u679c\u975e\u5e38\u9707\u64bc\uff1a<strong>\u5728 AI \u7522\u696d\u4e2d\uff0c\u78b3\u7a05\u9762\u81e8\u56b4\u91cd\u7684\u300c\u50b3\u5c0e\u8870\u6e1b\u300d<\/strong>\u3002<br \/>\u78b3\u7a05\u5931\u6548\u7684\u5fae\u89c0\u6a5f\u5236\uff1a\u76ee\u524d\u96fb\u529b\u6210\u672c\u50c5\u4f54 API \u7e3d\u6210\u672c\u7d04 18%\u3002\u56e0\u6b64\uff0c\u5373\u4f7f\u5fb5\u6536\u9ad8\u9054 50% \u7684\u78b3\u7a05\uff0c\u7d42\u7aef API \u50f9\u683c\u4e5f<br \/>\u53ea\u6703\u4e0a\u5347\u7d04 9%\uff08\u4f8b\u5982\u5f9e 0.60\uff09\u3002\u9762\u5c0d DeepSeek \u52d5\u8f12 94.5% \u7684\u6280\u8853\u6027\u964d\u50f9\uff0c\u9019 9% \u7684\u6f32\u5e45\u5b9b\u5982\u676f\u6c34\u8eca<br \/>\u85aa\uff0c\u5b8c\u5168\u7121\u6cd5\u963b\u6b62\u9ad8\u9054 92.9% \u7684\u7528\u6236\u8de8\u8d8a\u4f7f\u7528\u9580\u6abb\uff0c\u6700\u7d42\u6e1b\u6392\u6548\u679c\u50c5\u6709 12.1%\u3002<br \/>\u8b8a\u6210\u7b97\u529b\u5b9a\u984d\uff08\u6578\u91cf\u578b\u5de5\u5177\uff09\u7684\u97cc\u6027\uff1a\u76f8\u5c0d\u65bc\u50f9\u683c\u578b\u5de5\u5177\uff0c\u76f4\u63a5\u9650\u5236\u4f9b\u7d66\u4e0a\u9650\u7684\u7b97\u529b\u5b9a\u984d\uff08Quota\uff09\u5c55\u73fe\u4e86\u5f37\u5927\u7684\u9632\u79a6\u529b\u3002\u6a21\u64ec\u986f\u793a\uff0c\u56b4\u683c\u7684\u5b9a\u984d\u6a5f\u5236\uff08\u5982\u5b9a\u984d 2\u00d7\uff09\u80fd\u5e36\u4f86 88.3% \u7684\u6e1b\u6392\u6548\u679c\uff0c\u5207\u65b7\u4e86\u300c\u9700\u6c42\u8df3\u8e8d \u2192 \u7b97\u529b\u555f\u52d5 \u2192 \u80fd\u8017<br \/>\u589e\u9577\u300d\u7684\u50b3\u5c0e\u93c8\u3002<\/p>\n<p><strong>\ud83d\udee1\ufe0fRobustness\uff08\u7a69\u5065\u6027\u8003\u91cf\uff09\uff1a\u6211\u5011\u80fd\u76f8\u4fe1\u9019\u4e9b\u7d50\u8ad6\u55ce\uff1f<br \/><\/strong>\u8eab\u70ba\u7d93\u6fdf\u7cfb\u5b78\u751f\uff0c\u6211\u5011\u770b\u8ad6\u6587\u6700\u91cd\u8996\u7684\u5c31\u662f\u63a8\u8ad6\u7684\u7a69\u5065\u6027\u8207\u56e0\u679c\u8b58\u5225\uff08Causal Identification\uff09\u3002\u9019\u7bc7\u7814\u7a76\u7684\u7d50\u8ad6\u4e26\u975e\u5efa\u7acb\u5728\u55ae\u4e00\u65b9\u6cd5\u7684 p \u503c\u4e0a\uff0c\u800c\u662f\u900f\u904e\u56b4\u8b39\u7684\u4e09\u89d2\u9a57\u8b49\uff08Triangulation\uff09\uff1a<br \/>1. \u8de8\u4e8b\u4ef6\u53ef\u8907\u88fd\u6027\uff1a\u5982\u679c\u53ea\u6709 DeepSeek \u9020\u6210\u9700\u6c42\u8df3\u8e8d\uff0c\u90a3\u53ef\u80fd\u662f\u56e0\u70ba\u958b\u6e90\u6216\u5730\u7de3\u653f\u6cbb\u6548\u61c9\u3002\u4f46\u9023\u300c\u80fd\u529b\u4e3b\u5c0e\u300d\u7684<br \/>GPT-5 \u4e5f\u5f15\u767c\u4e86\u76f8\u540c\u898f\u6a21\u7684 10.1\u03c3 \u8df3\u8e8d\uff0c\u8b49\u660e\u9019\u662f\u7cfb\u7d71\u6027\u7684\u5e02\u5834\u7d50\u69cb\u7279\u5fb5\u3002<br \/>2. \u8de8\u6578\u64da\u6e90\u4e00\u81f4\u6027\uff1a\u70ba\u4e86\u907f\u514d Google Trends \u53ea\u662f\u53cd\u6620\u300c\u5a92\u9ad4\u7092\u4f5c\u300d\uff0c\u7814\u7a76\u4ea4\u53c9\u6bd4\u5c0d\u4e86 PyPI \u5957\u4ef6\uff08\u5982 openai,<br \/>anthropic\uff09\u7684\u5be6\u969b\u958b\u767c\u8005\u4e0b\u8f09\u6578\u64da\uff0c\u7d50\u679c\u986f\u793a\u65b9\u5411\u5b8c\u5168\u4e00\u81f4\u3002<br \/>3. \u591a\u91cd\u7a69\u5065\u6027\u6aa2\u9a57\uff1a\u7814\u7a76\u57f7\u884c\u4e86 Placebo \u6aa2\u9a57\uff08\u865b\u64ec\u65e5\u671f\u6e2c\u8a66\uff09\u3001\u8655\u7406 GPT-5 \u57fa\u7dda\u6c61\u67d3\u7684\u7d14\u6de8\u57fa\u7dda\u5206\u6790\uff0c\u4e26\u5c07 ABM<br \/>\u6a21\u64ec\u7684\u53c3\u6578\uff08\u5f48\u6027\u3001\u9580\u6abb\u3001\u5197\u9918\u6bd4\u4f8b\uff09\u9032\u884c\u4e86\u5ee3\u6cdb\u7684\u654f\u611f\u5ea6\u6e2c\u8a66\uff0c\u78ba\u4fdd\u300c\u5b9a\u984d\u512a\u65bc\u78b3\u7a05\u300d\u7684\u653f\u7b56\u6392\u5e8f\u5728\u4e0d\u540c\u53c3\u6578\u4e0b<br \/>\u4f9d\u7136\u7a69\u5065\u3002<br \/>\u7576\u7136\uff0c\u7814\u7a76\u4e5f\u8aa0\u5be6\u9ede\u51fa\u5176\u5c40\u9650\u6027\uff1a\u76ee\u524d\u7684\u4ee3\u7406\u8b8a\u6578\uff08\u641c\u5c0b\u91cf\u3001\u4e0b\u8f09\u91cf\uff09\u5c1a\u7121\u6cd5 100% \u5b8c\u7f8e\u7b49\u540c\u65bc\u300c\u76f4\u63a5\u904b\u7b97\u80fd\u8017\u300d\u3002\u4f46\u4f5c\u70ba\u65b9\u5411\u6027\u7684\u524d\u77bb\u6307\u6a19\uff0c\u5b83\u5df2\u5c0d\u50b3\u7d71\u7684\u7dda\u6027\u9810\u6e2c\u6a21\u578b\u6572\u97ff\u4e86\u8b66\u9418\u3002<br \/>\u9762\u5c0d\u975e\u7dda\u6027\u7684\u672a\u4f86\uff0c\u50b3\u7d71\u7684\u7dda\u6027\u7ba1\u7406\u5de5\u5177\u5df2\u7d93\u4e0d\u5920\u7528\u4e86\u3002\u6c7a\u7b56\u8005\u5fc5\u9808\u5728\u78b3\u7a05\u4e4b\u5916\uff0c\u8003\u616e\u52a0\u5165\u6578\u91cf\u578b\u7684\u9632\u79a6\u6a5f\u5236\uff0c\u70ba\u96fb\u7db2\u722d\u53d6\u5bf6\u8cb4\u7684\u7de9\u885d\u6642\u9593\u3002<\/p>\n<hr \/>\n<p>\ud83d\udcda \u53c3\u8003\u6587\u737b (Selected References)<\/p>\n<ol>\n<li>Jevons, W. S. (1865). The coal question: An inquiry concerning the progress of the nation, and the probable<br \/>exhaustion of our coal-mines. London: Macmillan.<\/li>\n<li>Saunders, H. D. (1992). The Khazzoom-Brookes postulate and neoclassical growth. The Energy Journal, 13(4),131\u2013148.<\/li>\n<li>Koomey, J., Berard, S., Sanchez, M., &amp; Wong, H. (2011). Implications of historical trends in the electrical<br \/>efficiency of computing. IEEE Annals of the History of Computing, 33(3), 46\u201354.<\/li>\n<li>Masanet, E., Shehabi, A., Lei, N., Smith, S., &amp; Koomey, J. (2020). Recalibrating global data center energy-use estimates. Science, 367(6481), 984\u2013986.<\/li>\n<li>IEA (International Energy Agency). (2025). Electricity 2025: Analysis and forecast to 2027. Paris: IEA Publications.<\/li>\n<\/ol>\n<p>\u00a0<\/p>\n<p style=\"text-align: center\">\u00a0<\/p>\n<hr \/>\n<p>\uff0e<\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>\u70ba\u8d8a\u7701\u96fb\u53cd\u800c\u8d8a\u8017\u96fb\uff1f\u89e3\u78bc\u751f\u6210\u5f0fAI\u7684\u300c\u5091\u6587\u65af\u6096\u8ad6\u300d\u8207\u80fd\u6e90\u6cbb\u7406 [&hellip;]<\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[40],"tags":[],"class_list":["post-2749","post","type-post","status-publish","format-standard","hentry","category-econ-intro-a"],"publishpress_future_action":{"enabled":false,"date":"2026-05-06 15:29:27","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category"},"_links":{"self":[{"href":"http:\/\/econ.wp.shu.edu.tw\/index.php?rest_route=\/wp\/v2\/posts\/2749","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/econ.wp.shu.edu.tw\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/econ.wp.shu.edu.tw\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/econ.wp.shu.edu.tw\/index.php?rest_route=\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"http:\/\/econ.wp.shu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2749"}],"version-history":[{"count":0,"href":"http:\/\/econ.wp.shu.edu.tw\/index.php?rest_route=\/wp\/v2\/posts\/2749\/revisions"}],"wp:attachment":[{"href":"http:\/\/econ.wp.shu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2749"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/econ.wp.shu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2749"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/econ.wp.shu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2749"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}