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油气绿电即时价 2026-07-24 17:17 3 阅读

能源REITs:资本与产业的双向奔赴——绿色电力与算力时代的金融纽带

能源REITs在中国资本市场快速发展,底层资产覆盖风电、光伏、水电等绿色领域。在双碳目标与算力强国战略驱动下,能源REITs成为连接绿色电力与数字经济的重要金融纽带,打通投建运退资金循环,为新能源产业带来战略机遇。

能源REITs:资本与产业的双向奔赴——绿色电力与算力时代的金融纽带

能源REITs:资本与产业的双向奔赴——绿色电力与算力时代的金融纽带

关键词

能源REITs;双碳目标;算力时代;资产证券化;绿色金融

引言

从“星星之火”到“绿色矩阵”,能源基础设施公募REITs(以下简称“能源REITs”)在中国资本市场走出了一条独特的成长路径。截至目前,国内已上市能源REITs达9只,首募规模合计超200亿元,底层资产全面覆盖风电、光伏、水电、天然气发电等核心绿色领域。这不仅是资本市场的制度创新,更是金融服务实体经济、支持国家战略的生动实践。

在“双碳”目标与“算力强国”战略的双重驱动下,能源REITs正从单一的融资工具演变为连接绿色电力与数字经济的重要金融纽带。受访专家对《中国经营报》记者表示,能源REITs同时具备“抗周期”和“高景气”双重属性,随着“算力时代”的到来,“绿色电力底座”的需求日益增长,这将为能源REITs带来前所未有的战略机遇和清晰的发展前景。

一、打通资本循环:从“投建运退”到“以存量换增量”

对于新能源产业而言,REITs最核心的价值在于打通了“投建运退”的完整资金循环。国家金融与发展实验室副主任曾刚对记者指出,风电、光伏等项目前期资本投入庞大、回收周期漫长,发电企业普遍面临资产负债率偏高的压力。通过REITs将已成熟运营的存量资产证券化并上市,企业可将沉淀资金一次性回笼,进而投入新一轮的开发建设,实现“以存量换增量”的良性滚动。

这一机制有效降低了原始权益人的财务杠杆,拓宽了融资渠道,从制度层面消除了行业长期的“重建设、轻退出”结构性困境。正如上海瑞思不动产金融研究院院长朱元伟所言:“新能源项目前期投入大、回收周期长,REITs为企业提供了与资产运营寿命相匹配的长期资金,既能降低融资成本,又能增加现金流。”

扩募方面的创新同样引人注目。2026年1月,全国首单清洁能源扩募项目中航京能国际REIT的扩募份额成功上市,首创“光伏+水电”混装扩募模式,募集资金29.22亿元。这不仅帮助企业盘活了存量资产,更通过水光互补效应平滑了单一资产的周期波动,为行业提供了可复制的示范样本。

值得注意的是,REITs的信息披露透明度和运营管理规范要求,倒逼新能源企业提升资产管理能力。2025年多只能源REITs超额完成年度可供分配金额目标,便是运营质量改善的直接体现。朱元伟强调:“能源REITs将资本市场资金导向清洁能源领域,是金融服务实体经济、支持‘双碳’目标、做好‘五篇大文章’的重要工具。”

能源REITs资产运营示意图

二、资本市场的“稳定器”:填补固收与权益之间的资产空白

对于资本市场而言,能源REITs同样创造了独特的价值。朱元伟指出,能源REITs丰富了投资品种,提供了稳定分红的选择。更为关键的是,能源REITs与股债相关性较低,在“资产荒”背景下配置价值凸显。

曾刚进一步阐释了能源REITs的独特地位:“能源REITs填补了固收与权益之间的资产空白。”其底层资产是具有稳定现金流的电力基础设施,与宏观经济周期相关性低,兼具抗通胀属性,为保险资金、养老金等长期配置型资金提供了高度适配的投资标的。

这种配置价值在市场上得到了充分验证。2026年2月上市的华夏中核清洁能源REIT,其网下投资者有效认购倍数超340倍,公众投资者有效认购倍数约392倍,比例配售前认购资金累计超1600亿元。这组数据清晰地表明,优质清洁能源资产在资本市场上的强大吸引力。

从收益表现来看,能源REITs也为投资者带来了“真金白银”的回报。数据显示,能源REITs自上市以来,二级市场表现持续处于市场前列,部分产品的复权涨幅突破30%。2025年多只能源REITs的年度可供分配金额实际完成率超过105%。具体到分红数据,沪市能源REITs上市以来已累计完成29次分红,合计派发超41.2亿元,充分展现了新能源资产强劲的现金流生产能力。

这种稳健的分红能力,不仅巩固了市场信心,吸引了更广泛的公众投资者参与,也有力推动了资本市场产品结构的多元化与成熟化。在全球经济不确定性增加的背景下,能源REITs以其“抗周期”属性,为投资者提供了一条稳定可靠的价值投资路径。

三、算力时代的战略机遇:从“稳健公用事业”到“数字经济硬底座”

“算力时代的到来使得能源REITs的发展前景更加清晰。”朱元伟表示,数据中心是典型的高耗能设施,单机柜功率密度持续攀升,绿色电力成为刚需。能源REITs具备现金流可预测性强、运营成熟度高的优势,是实践“算电融合”的优良场景。

这一判断得到了政策层面的有力支撑。“算电协同”已被写入国家“十五五”规划,政策明确要求2026年起新建算力设施中绿电使用占比须达80%。这意味着清洁能源资产正在完成一次估值体系的重塑——从传统的“稳健公用事业”升格为“数字经济硬底座”,其战略地位和市场溢价将显著提升。

曾刚认为,在算力时代背景下,能源REITs的发展空间将沿三条路径持续打开:一是算力中心选址向西部清洁能源富集地区迁移,将带动大量风光水储资产纳入REITs底层池;二是“光伏+水电”水光互补扩募模式的示范效应,将推动更多混合型、多元化能源资产组合发行,增强基金抗波动能力;三是随着储能资产逐步成熟、机构间REITs试点推进,REITs的资产覆盖边界将进一步拓展。

未来将出现“风光储一体化”“数据中心+配套新能源”等更多创新组合,既符合产业发展的趋势,又通过资产组合优化收益稳定性。不过,朱元伟也提醒,能源REITs在算力时代的发展会呈现结构性分化,具备优质底层资产、强扩募能力和创新组合模式的标的将更具竞争力。

四、扩容的“黄金时代”:政策红利与市场潜力持续释放

展望未来,能源REITs的发展正步入常态化的稳健扩容期。一方面,我国积累了庞大的能源基础设施存量,但借助资本市场盘活存量资产的潜力尚未充分释放。随着配套制度的不断完善与优质资产的持续注入,能源REITs正成为盘活存量资产的有效抓手。

另一方面,数字经济的蓬勃发展对电力基础设施提出了更高要求。随着人工智能、大数据中心等算力基础设施的加速布局,全社会对稳定、绿色电力的需求日益增长。能源REITs通过打通资金闭环,能够将社会资金精准引入新型电力系统建设,为算力基础设施提供绿色、坚实的能源保障。

“政策红利仍在持续释放,2026年REITs市场聚焦‘抗周期’‘高景气’‘强扩募’三条主线,能源REITs同时具备‘抗周期’和‘高景气’双重属性,有望在常态化发行中持续扩容。”朱元伟总结道。

曾刚对能源REITs的发展前景持乐观态度。他认为,在“双碳”目标与“算力强国”战略的双重驱动下,能源REITs有望迎来持续扩容的“黄金时代”。这不仅是中国金融创新的重要成果,更是金融服务实体经济、支撑国家战略转型的生动体现。

结语

从“星星之火”到“绿色矩阵”,能源REITs的成功实践表明,资本与产业可以实现双向奔赴、互促共进。对于新能源产业,它打通了“投建运退”的完整资金循环,解决了长期困扰行业的资本退出难题;对于资本市场,它填补了固收与权益之间的资产空白,提供了稳定分红的优质投资品种;对于国家战略,它成为连接绿色电力与数字经济的重要金融纽带,为“双碳”目标和“算力强国”战略提供了有力的金融支撑。

随着算力时代的全面到来,绿色电力将成为最稀缺的战略资源。能源REITs凭借其独特的制度设计、稳健的现金流表现和明确的政策导向,正站在一个崭新发展周期的起点上。可以预期,在政策红利与市场潜力的双重驱动下,能源REITs将持续扩容,为投资者带来更多价值,为产业发展注入更强动力,为国家战略提供更坚实的金融保障。

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  1. CONNECT:[ UseTime:0.001211s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.005293s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '46' LIMIT 1 [ RunTime:0.003249s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.003836s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000927s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.004124s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'thaiptt' AND `subsite_id` = '46' LIMIT 1 [ RunTime:0.000965s ]
  8. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.006616s ]
  9. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '46' LIMIT 1 [ RunTime:0.001341s ]
  10. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.006653s ]
  11. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 46 AND `name` = 'neng-yuan-reits-zi-ben-yu-chan-ye-de-shuang-xiang-ben-fu-lv-se-dian-li-yu-suan-li-shi-dai-de-jin-ron' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.009233s ]
  12. SELECT * FROM `g3ys_document` WHERE ( `name` = '5600' OR `id` = '5600' ) AND `subsite_id` = 46 LIMIT 1 [ RunTime:0.006514s ]
  13. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.004132s ]
  14. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.002372s ]
  15. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '5600' LIMIT 1 [ RunTime:0.000965s ]
  16. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.003166s ]
  17. SELECT * FROM `g3ys_total` WHERE `target_id` = '5600' LIMIT 1 [ RunTime:0.000827s ]
  18. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.004710s ]
  19. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 46 AND ( ( LOWER(name) = 'zh' ) OR `subtag` = 'zh' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001957s ]
  20. SELECT * FROM `g3ys_total` WHERE `target_id` = '5600' LIMIT 1 [ RunTime:0.000753s ]
  21. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '5600' [ RunTime:0.002532s ]
  22. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.009453s ]
  23. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '46' AND `type` = 'article' AND `url` = 'https://www.thaiptt.com/neng-yuan-reits-zi-ben-yu-chan-ye-de-shuang-xiang-ben-fu-lv-se-dian-li-yu-suan-li-shi-dai-de-jin-ron' AND `create_time` >= 1784900895 AND ( `visitor_id` = 'a7df3fefd41e8e51ac5f04a16cf0a78a' OR `session_id` = '898a47a7c14092db9cf24a7ec8d0c436' ) LIMIT 1 [ RunTime:0.003597s ]
  24. INSERT INTO `g3ys_record` SET `subsite_id` = '46' , `uid` = '0' , `visitor_id` = 'a7df3fefd41e8e51ac5f04a16cf0a78a' , `session_id` = '898a47a7c14092db9cf24a7ec8d0c436' , `type` = 'article' , `target_id` = '5600' , `target_type` = 0 , `category_id` = '1845' , `title` = '能源REITs:资本与产业的双向奔赴——绿色电力与算力时代的金融纽带' , `url` = 'https://www.thaiptt.com/neng-yuan-reits-zi-ben-yu-chan-ye-de-shuang-xiang-ben-fu-lv-se-dian-li-yu-suan-li-shi-dai-de-jin-ron' , `path` = '/neng-yuan-reits-zi-ben-yu-chan-ye-de-shuang-xiang-ben-fu-lv-se-dian-li-yu-suan-li-shi-dai-de-jin-ron' , `query_string` = '' , `referer` = '' , `referer_domain` = '' , `source_type` = 'direct' , `source_domain` = '' , `search_engine` = '' , `search_keyword` = '' , `utm_source` = '' , `utm_medium` = '' , `utm_campaign` = '' , `utm_term` = '' , `utm_content` = '' , `ip` = '216.73.217.145' , `user_agent` = 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)' , `device_type` = 'pc' , `browser` = '其他' , `browser_version` = '' , `os` = '其他' , `os_version` = '' , `language` = '' , `is_spider` = 0 , `spider_name` = '' , `status_code` = 200 , `country` = '' , `province` = '' , `city` = '' , `district` = '' , `isp` = '' , `region_code` = '' , `geo_status` = 0 , `geo_time` = 0 , `create_time` = 1784900955 , `update_time` = 1784900955 [ RunTime:0.003341s ]
  25. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.006397s ]
  26. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '5600' AND `pid` = '0' [ RunTime:0.002444s ]
  27. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.008464s ]
  28. SELECT `id`,`name`,`title`,`field_group` FROM `g3ys_model` WHERE `extend` = 0 AND `id` <> 1 AND `subsite_id` IN ('0','46') AND `status` = 1 [ RunTime:0.002995s ]
  29. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.005228s ]
  30. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.004271s ]
  31. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.004072s ]
  32. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.003517s ]
  33. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.002543s ]
  34. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.002189s ]
  35. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.002046s ]
  36. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.002030s ]
  37. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.002427s ]
  38. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.002121s ]
  39. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.004064s ]
  40. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.003384s ]
  41. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.003857s ]
  42. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.003091s ]
  43. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.002145s ]
  44. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.002158s ]
  45. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.002690s ]
  46. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.004833s ]
  47. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.002081s ]
  48. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.001981s ]
  49. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.002274s ]
  50. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.001973s ]
  51. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.002202s ]
  52. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 5600 AND `subsite_id` = '46' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001013s ]
  53. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.002124s ]
  54. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 5600 AND `subsite_id` = 46 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000992s ]
  55. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.002013s ]
  56. SELECT * FROM `g3ys_video` WHERE `document_id` = 5600 AND `subsite_id` = 46 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000976s ]
  57. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.002162s ]
  58. SELECT * FROM `g3ys_faq` WHERE `document_id` = 5600 AND `subsite_id` = 46 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000971s ]
  59. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.002056s ]
  60. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 5600 AND `subsite_id` = 46 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.000954s ]
  61. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.002104s ]
  62. SELECT * FROM `g3ys_cards` WHERE `document_id` = 5600 AND `subsite_id` = '46' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001001s ]
  63. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.002155s ]
  64. SELECT * FROM `g3ys_objects` WHERE `document_id` = 5600 AND `subsite_id` = '46' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001208s ]
  65. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.002733s ]
  66. SELECT * FROM `g3ys_videos` WHERE `document_id` = 5600 AND `subsite_id` = '46' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001038s ]
  67. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.002223s ]
  68. SELECT * FROM `g3ys_audios` WHERE `document_id` = 5600 AND `subsite_id` = '46' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001088s ]
  69. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.002120s ]
  70. SELECT * FROM `g3ys_files` WHERE `document_id` = 5600 AND `subsite_id` = '46' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001003s ]
  71. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.002367s ]
  72. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 5600 AND `subsite_id` = '46' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001332s ]
  73. SELECT * FROM `g3ys_document` WHERE `category_id` = 1845 AND `subsite_id` = 46 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 5600) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001592s ]
  74. SELECT * FROM `g3ys_document` WHERE `category_id` = 1845 AND `subsite_id` = 46 AND `pid` = '5526' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001342s ]
  75. SELECT * FROM `g3ys_document` WHERE `category_id` = 1845 AND `subsite_id` = 46 AND `pid` = '5600' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001233s ]
  76. SELECT * FROM `g3ys_document` WHERE `category_id` = 1845 AND `subsite_id` = 46 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=5600) or ( sort = 0 and id > 5600) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001915s ]
  77. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000901s ]
  78. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000856s ]
  79. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000724s ]
  80. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000705s ]
  81. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000905s ]
  82. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000710s ]
  83. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000811s ]
  84. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000812s ]
  85. SELECT * FROM `g3ys_total` WHERE `target_id` = '5600' LIMIT 1 [ RunTime:0.001089s ]
  86. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000736s ]
  87. SELECT `id`,`uid`,`name`,`title`,`category_id`,`description`,`pid`,`model_id`,`position`,`url`,`pic`,`sort`,`create_time`,`update_time`,`status`,`price`,`brand`,`percent`,`keywords`,`seotitle`,`subsite_id`,`intro`,`pics`,`tags`,`error`,`lat`,`lng`,`country`,`province`,`city`,`district`,`community`,`sync`,`shorttitle`,`template`,`video`,`show_groups`,`relative`,`money_type`,`document_type`,`object_type`,`object_id`,`object_category_id`,`object_sort`,`object_position`,`attr`,`attr_id`,`buy_groups`,`discount`,`pics_data`,`spec`,`object_status`,`audio`,`is_single`,`is_commission`,`commission`,`is_discount`,`category_ids`,`stock`,`volume`,`weight`,`combined`,`object_category_ids`,`combo` FROM `g3ys_document` `a` INNER JOIN `g3ys_total` `b` ON `a`.`id`=`b`.`target_id` INNER JOIN `g3ys_document_article` `c` ON `a`.`id`=`c`.`document_id` WHERE `subsite_id` = 46 AND `category_id` = 1845 AND `status` = '1' AND `model_id` = 2 AND `document_type` = 0 ORDER BY `sort` DESC,`id` DESC LIMIT 0,8 [ RunTime:0.001677s ]
  88. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000939s ]
  89. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000761s ]
  90. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000792s ]
  91. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000705s ]
  92. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.002489s ]
  93. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000744s ]
  94. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000713s ]
  95. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000686s ]
  96. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '46' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000824s ]
  97. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.003166s ]
  98. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 46 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 12 [ RunTime:0.000796s ]
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