2026年07月29日 Wednesday Insight into China-Singapore Capital Markets, Deep Diving into Global Asset Allocation
China-Singapore Cross-Border Financial Investment Research Global Asset Allocation
asset-allocation

ESG Investment Wave Sweeps Globe: New Asset Allocation Paradigm Reshapes ETF & REITs Markets

ESG Investment Wave Sweeps Globe: New Asset Allocation Paradigm Reshapes ETF & REITs Markets

On July 29, 2026, global financial markets reached a milestone: global assets in ESG (Environmental, Social, Governance) themed ETFs officially surpassed $5 trillion, with an annual growth rate of 35%. This figure not only highlights the explosive growth of sustainable investing but also marks a deep structural shift in asset allocation strategies. Beyond traditional stock and bond portfolios, ESG factors have moved from the periphery to the core, becoming an indispensable "third dimension" in investment portfolios.

ESG ETFs: From Niche to Mainstream Allocation

According to the latest data, global net inflows into ESG ETFs reached $1.2 trillion in Q2 2026, surpassing the total for all of 2025. The U.S. market dominates, accounting for 45% of global ESG ETF assets, followed by Europe at 38%, and Asia-Pacific rapidly catching up with a 17% share. Notably, the "climate transition" themed ETFs launched in 2026 performed exceptionally well, with over $80 billion in quarterly inflows, showing investors' sustained enthusiasm for net-zero emissions.

Industry analysts point to three key drivers behind the ESG ETF boom: first, regulatory pressure—central banks and regulators increasingly require climate risk disclosure, forcing institutional investors to integrate ESG into their processes; second, generational wealth transfer—Millennials and Gen Z investors view sustainability as a core value, driving sustained capital inflows; and third, performance validation—long-term return data shows that companies with high ESG ratings are more resilient in volatile markets. From 2022 to 2025, the MSCI Global ESG Leaders Index outperformed the MSCI World Index by 1.2 percentage points annually.

REITs Meet ESG: Green Buildings Become a New Favorite

In the real estate investment trust (REIT) space, ESG strategies are also rewriting the rules. As global demands for building energy efficiency and emissions reduction intensify, REITs holding green-certified properties are commanding premiums. In the U.S., office buildings with LEED or ENERGY STAR certifications enjoy an average rent premium of 8% and vacancy rates 5 percentage points lower than comparable buildings. This trend has spurred the rise of "green REITs": in July 2026, REIT ETFs tracking low-carbon building indices grew 42% year-over-year, becoming the hottest segment in global real estate allocation.

"Investors are no longer just looking at yields; they are asking: What is this REIT's carbon footprint? How does it manage water resources? How many women are on the board?" said Wall Street veteran REIT analyst Mary Chen in her latest report. She predicts that within five years, ESG performance will become a core variable in REIT valuation, as important as the discounted cash flow model is today.

New Thinking in Global Wealth Management: Diversifying Beyond Geography

For globally diversified investors, ESG adds a new dimension of diversification. Traditional "global wealth management" focuses on geographic diversification (U.S., Europe, emerging markets) and asset class diversification (stocks, bonds, commodities). Now, using ESG ratings as a screening criterion can further reduce tail risk across assets and regions. For example, a portfolio combining high-ESG-rated U.S. large caps, European green bonds, and Asia-Pacific sustainable REITs during the first half of 2026 saw volatility 2.3 percentage points lower than a traditional 60/40 portfolio, while delivering a 4.8% total return.

ETFs are increasingly recommended by financial advisors as an ideal vehicle for global ESG allocation. In July 2026, Morningstar data showed over 400 ESG-themed ETFs available globally, covering themes from clean energy to gender equality. Among them, the iShares ESG MSCI USA Leaders ETF (SUSL) and Vanguard ESG U.S. Stock ETF (ESGV) led the market with assets exceeding $50 billion and $30 billion, respectively.

Risks and Challenges: Greenwashing and Data Dilemmas

However, ESG investing is not without risks. As the capital influx intensifies, concerns about "greenwashing" are growing. In May 2026, the U.S. Securities and Exchange Commission (SEC) fined two asset managers a total of $150 million for exaggerating environmental benefits in their ESG fund marketing. Additionally, inconsistent standards among ESG rating agencies confuse investors: the same company may receive an AAA rating from MSCI but be considered high-risk by Sustainalytics. The push for data standardization is ongoing, and a unified global ESG disclosure framework is expected by 2027.

Furthermore, ESG ETFs typically have higher expense ratios than traditional index ETFs, with average management fees of 0.25%-0.50% compared to 0.03%-0.10% for traditional ETFs. Over the long term, the fee drag is significant. Investors need to weigh potential excess returns against additional costs.

Looking Ahead: When ESG Becomes the Default

Looking toward the second half of 2026 and into 2027, the industry widely expects ESG investing to shift from "optional" to "mandatory." Fidelity Investments' latest asset management survey shows that 60% of global institutional investors plan to fully integrate ESG factors into all portfolios within two years, rather than just creating dedicated ESG funds. This trend means that whether for ETFs, REITs, or other global wealth management tools, ESG analysis will become a foundational step, not an add-on.

For individual investors, Huaxin Insight Wealth Research recommends a "core-satellite" strategy: use low-carbon index ETFs as core holdings, complemented by green REITs and clean energy themed funds as satellite positions, while using dollar-cost averaging to smooth short-term volatility. The art of asset allocation is now being reshaped by the powerful new variable of ESG. Those who embrace it early may gain an edge in the future wealth landscape.

The information provided in this article is for reference only and does not constitute investment advice. Investors should make independent judgments, evaluate carefully, and bear investment risks themselves.

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  1. CONNECT:[ UseTime:0.005383s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.010759s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '38' LIMIT 1 [ RunTime:0.007868s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.004722s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.004745s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.008798s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'slogan' AND `subsite_id` = '38' LIMIT 1 [ RunTime:0.002634s ]
  8. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.012546s ]
  9. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '38' LIMIT 1 [ RunTime:0.004158s ]
  10. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.012019s ]
  11. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 38 AND ( ( LOWER(name) = 'en-us' ) OR `subtag` = 'en-us' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.004370s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.022051s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 38 AND `name` = 'esg-investment-wave-asset-allocation-etf-reits' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.007885s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '5912' OR `id` = '5912' ) AND `subsite_id` = 38 LIMIT 1 [ RunTime:0.010586s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.004382s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.002371s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '5912' LIMIT 1 [ RunTime:0.001321s ]
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  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '5912' LIMIT 1 [ RunTime:0.000885s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.004322s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.003241s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '38' AND `lang` = 'en-US' AND `document_id` = '5912' [ RunTime:0.008215s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.003502s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.003649s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.005745s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '38' AND `category_id` = '1463' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.001299s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '5912' LIMIT 1 [ RunTime:0.001233s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '5912' [ RunTime:0.003493s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.007862s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '38' AND `type` = 'article' AND `url` = 'https://www.cninsgx.com/esg-investment-wave-asset-allocation-etf-reits' AND `create_time` >= 1785336589 AND ( `visitor_id` = '38231c2858a039bb587baa192b9b6685' OR `session_id` = 'acf31d7edc8e90453706117b4c3f4356' ) LIMIT 1 [ RunTime:0.003585s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '38' , `uid` = '0' , `visitor_id` = '38231c2858a039bb587baa192b9b6685' , `session_id` = 'acf31d7edc8e90453706117b4c3f4356' , `type` = 'article' , `target_id` = '5912' , `target_type` = 0 , `category_id` = '1463' , `title` = 'ESG Investment Wave Sweeps Globe: New Asset Allocation Paradigm Reshapes ETF & REITs Markets' , `url` = 'https://www.cninsgx.com/esg-investment-wave-asset-allocation-etf-reits' , `path` = '/esg-investment-wave-asset-allocation-etf-reits' , `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` = '216.73.217.78' , `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` = 1785336649 , `update_time` = 1785336649 [ RunTime:0.005710s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.007108s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '5912' AND `pid` = '0' [ RunTime:0.001309s ]
  34. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.008501s ]
  35. SELECT `id`,`name`,`title`,`field_group` FROM `g3ys_model` WHERE `extend` = 0 AND `id` <> 1 AND `subsite_id` IN ('0','38') AND `status` = 1 [ RunTime:0.001935s ]
  36. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.004421s ]
  37. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.006321s ]
  38. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.004195s ]
  39. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.004067s ]
  40. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.003897s ]
  41. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.003931s ]
  42. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.003612s ]
  43. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.003847s ]
  44. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.004104s ]
  45. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.003895s ]
  46. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.003807s ]
  47. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.003400s ]
  48. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.003501s ]
  49. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.003458s ]
  50. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.003616s ]
  51. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.003908s ]
  52. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.004091s ]
  53. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.003510s ]
  54. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.003542s ]
  55. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.003898s ]
  56. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.004146s ]
  57. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.003463s ]
  58. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.003528s ]
  59. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 5912 AND `subsite_id` = '38' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001218s ]
  60. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.002861s ]
  61. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 5912 AND `subsite_id` = 38 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001257s ]
  62. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.003539s ]
  63. SELECT * FROM `g3ys_video` WHERE `document_id` = 5912 AND `subsite_id` = 38 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001319s ]
  64. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.003549s ]
  65. SELECT * FROM `g3ys_faq` WHERE `document_id` = 5912 AND `subsite_id` = 38 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001504s ]
  66. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.003661s ]
  67. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 5912 AND `subsite_id` = 38 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001400s ]
  68. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.003588s ]
  69. SELECT * FROM `g3ys_cards` WHERE `document_id` = 5912 AND `subsite_id` = '38' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001358s ]
  70. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.004681s ]
  71. SELECT * FROM `g3ys_objects` WHERE `document_id` = 5912 AND `subsite_id` = '38' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.002188s ]
  72. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.004073s ]
  73. SELECT * FROM `g3ys_videos` WHERE `document_id` = 5912 AND `subsite_id` = '38' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001766s ]
  74. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.004544s ]
  75. SELECT * FROM `g3ys_audios` WHERE `document_id` = 5912 AND `subsite_id` = '38' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.003734s ]
  76. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.004997s ]
  77. SELECT * FROM `g3ys_files` WHERE `document_id` = 5912 AND `subsite_id` = '38' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.002184s ]
  78. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.005277s ]
  79. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 5912 AND `subsite_id` = '38' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001682s ]
  80. SELECT * FROM `g3ys_document` WHERE `category_id` = 1463 AND `subsite_id` = 38 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 5912) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.002551s ]
  81. SELECT * FROM `g3ys_document` WHERE `category_id` = 1463 AND `subsite_id` = 38 AND `pid` = '5806' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001548s ]
  82. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '38' AND `lang` = 'en-US' AND `document_id` = '5806' [ RunTime:0.007379s ]
  83. SELECT * FROM `g3ys_document` WHERE `category_id` = 1463 AND `subsite_id` = 38 AND `pid` = '5912' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002203s ]
  84. SELECT * FROM `g3ys_document` WHERE `category_id` = 1463 AND `subsite_id` = 38 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=5912) or ( sort = 0 and id > 5912) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001720s ]
  85. SHOW FULL COLUMNS FROM `g3ys_file` [ RunTime:0.005454s ]
  86. SELECT * FROM `g3ys_file` WHERE `status` = 1 AND `id` = 3635 LIMIT 1 [ RunTime:0.001437s ]
  87. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001148s ]
  88. SELECT * FROM `g3ys_total` WHERE `target_id` = '5912' LIMIT 1 [ RunTime:0.001120s ]
  89. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.003783s ]
  90. SELECT `title`,`color`,`description`,`seotitle`,`keyword`,`name`,`id` FROM `g3ys_tags` WHERE `id` IN (441,436,454,452,448,449) AND `status` = 1 [ RunTime:0.001404s ]
  91. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.003725s ]
  92. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (441,436,454,452,448,449) AND `subsite_id` = 38 AND `lang` = 'en-US' [ RunTime:0.001878s ]
  93. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000885s ]
  94. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000915s ]
  95. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000817s ]
  96. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000943s ]
  97. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001030s ]
  98. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001017s ]
  99. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000915s ]
  100. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001022s ]
  101. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000931s ]
  102. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001084s ]
  103. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000970s ]
  104. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.002694s ]
  105. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001430s ]
  106. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001433s ]
  107. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '38' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001134s ]
1.288273s