2026年08月08日 Saturday Focus on Cross-border Investment in Malaysia and Southeast Asia
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Thailand 2026 Export Outlook: Growth Drivers and Structural Concerns

Thailand 2026 Export Outlook: Growth Drivers and Structural Concerns
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Thailand 2026 Export Outlook: Growth Drivers and Structural Concerns Coexist<\/h1>\n

Keywords: Thailand Exports, Trade Structure, Artificial Intelligence, Manufacturing Recovery, Structural Challenges<\/h2>\n

Introduction<\/h2>\n

Against the backdrop of continuous reshaping of the global economic landscape, Thailand, as an important export-oriented economy in Southeast Asia, has drawn significant attention to its trade performance. According to the latest research report by the Investment Analysis Department of Bangkok Bank Securities, under the baseline scenario, Thailand's total export value in 2026 is expected to achieve approximately 11.8% year-on-year growth, notably outperforming previous market expectations. This figure not only reflects the dividends from phased improvements in the external environment but also reveals the deep-seated structural contradictions faced by the Thai economy amid globalization. This article systematically analyzes the true quality of Thailand's export growth from three dimensions: multiple international factors, industrial driving mechanisms, and domestic economic transmission effects, and explores its substantive support for overall economic recovery.<\/p>\n

I. Multiple International Factors Supporting Export Recovery<\/h2>\n

1.1 Trade Repair from Easing Geopolitical Risks in the Middle East<\/h3>\n

The gradual easing of tensions in the Middle East region provides marginal room for improvement in Thailand's exports. Data shows that in April 2026, Thailand's export value to the Middle East surged by 19.3% year-on-year, with a month-on-month increase of 57.3%, showing a clear V-shaped recovery. This rebound not only stems from the restoration of regional trade activities but also reflects the process of rebuilding trust in supply chains after the decline in geopolitical uncertainty. Thailand's trade structure with the Middle East mainly consists of petrochemical products, auto parts, and food, which are highly sensitive to the trade environment. When conflict risks decrease, buyers tend to replenish inventory and extend order cycles, thus driving short-term export data surges. However, it should be noted that the economic recovery in the Middle East still faces oil price fluctuations and residual geopolitical risks, and the sustainability of this repair requires further observation.<\/p>\n

1.2 Limited Benefits from US Tariff Policy Easing<\/h3>\n

The phased relaxation of US import tariff policies is another key variable for the improvement of Thailand's exports. Under the framework of a global uniform tariff rate, the relative competitiveness of Thai products has been maintained, especially in areas such as automobiles, electronic components, and agricultural products, benefiting in the short term from reduced tariff pressure. The report specifically points out that the Trump administration may still re-introduce more targeted trade measures in the future, such as imposing additional import tariffs on specific industries under "Section 301". The uncertainty of US trade policy means that Thai export enterprises must continuously diversify their market layouts rather than overly relying on policy dividends from a single market. Historical experience shows that export growth driven by tariff easing often has a pulse-like characteristic and lacks sustainability.<\/p>\n

II. Electronics Industry and AI Demand as Core Engines<\/h2>\n

2.1 Driving Effect of Global Manufacturing Cycle Recovery<\/h3>\n

Entering the second half of 2026, the expected recovery of the global manufacturing cycle will further boost Thailand's exports. As an important node in the global supply chain, Thailand has strong supporting capabilities in electronics, automobiles, rubber, and plastic products. When the manufacturing PMI of major economies (especially China, the US, and the EU) rebounds, Thailand's intermediate goods exports often benefit first. Data shows that Thailand's electronics industry exports occupy an important position in the global semiconductor supply chain, with its packaging, testing, and electronic component manufacturing stages highly correlated with international market demand.<\/p>\n

2.2 Continuous Expansion of AI and Data Center Demand<\/h3>\n

Electronic products remain the most important growth engine for Thailand's exports, with the core driving force coming from the rapid rise of the AI industry. The high-intensity training of AI large models requires a large number of high-end chips and servers, while global investment in data center construction continues to increase, driving strong international demand for products such as semiconductors, electronic components, and cooling equipment. Thailand's electronics industry cluster has cost and technology advantages in sub-sectors such as semiconductor packaging and printed circuit boards (PCBs), and is expected to benefit continuously from the capital expenditure cycle of AI infrastructure construction in the coming years. It is noteworthy that Thailand needs to be vigilant about the risks brought by technological iteration; if it fails to upgrade manufacturing processes in time, it may be replaced by competitors such as Vietnam and Malaysia.<\/p>\n

III. Structural Challenges Behind Impressive Data<\/h2>\n

3.1 Imbalance of Import Growth Far Outpacing Export Growth<\/h3>\n

Although export performance is strong, the growth rate of imports is accelerating and surpassing that of exports. The report points out that total imports in 2026 are expected to grow by about 16% year-on-year, far exceeding the 11.8% growth of exports. This imbalance is driven by two forces: first, under the background of continuous inflow of foreign direct investment (FDI), enterprises import large quantities of machinery and capital goods to promote capacity expansion and automation transformation; second, the recovery of domestic consumption and energy demand in Thailand drives an increase in imports of raw materials and energy. From a macro perspective, the rapid growth of imports means that the trade surplus may narrow, and the pulling effect of net exports on GDP will be suppressed. More critically, although imports of machinery and equipment are conducive to long-term productivity improvement, they may exacerbate current account pressure in the short term.<\/p>\n

3.2 Uneven Manufacturing Recovery and Domestic Transmission Faults<\/h3>\n

Thailand's manufacturing recovery shows significant unevenness. Data indicates that the growth rate of the industrial production index is still less than 1%, suggesting that export growth has not yet fully transmitted to the domestic real economy. A large number of export-oriented enterprises are concentrated in a few industries such as electronics and automobiles, while traditional manufacturing industries such as textiles, furniture, and agricultural product processing remain sluggish. This structural differentiation leads to slow employment growth and difficulty in effectively boosting domestic consumer confidence. More concerning is that many small and medium-sized enterprises have not participated in the export expansion feast and have failed to share the dividends of trade growth. The fault in manufacturing recovery reflects a typical "dual structure" in the Thai economy: a lack of effective linkage between the modern export sector and the domestic demand sector.<\/p>\n

3.3 "Transshipment Trade" Bubble in Trade Structure<\/h3>\n

Analysts point out that Thailand's trade system has long-standing structural issues, with transshipment trade being one of the core pain points. Due to Thailand's central location in Southeast Asia and relatively complete infrastructure, a large amount of goods are transshipped or undergo simple processing in Thailand before being re-exported, causing the growth rate of export statistics to be significantly higher than the actual growth rate of domestic economic activities. For example, electronic components from China undergo short-term assembly or repackaging in Thailand and are then exported to the US or EU under the guise of Thai origin. This "water" makes export figures impressive, but a considerable portion of this growth does not actually translate into domestic production, employment, or tax revenue in Thailand. In extreme cases, an increased share of transshipment trade can even distort trade data and mislead policy-making. The report emphasizes that even if total exports continue to rise, the actual contribution of net exports to GDP remains relatively limited, as transshipment trade creates extremely low added value.<\/p>\n

IV. Conclusions and Policy Implications<\/h2>\n

Overall, Thailand's export outlook for 2026 is generally optimistic, especially against the backdrop of the Middle East market recovery, phased relief from US tariff pressure, and continued expansion of AI industry demand, exports are expected to maintain relatively rapid growth. However, behind the impressive figures lie three concerns: the rapid growth of imports eroding the trade surplus, uneven manufacturing recovery limiting employment growth, and the transshipment trade structure weakening the actual economic contribution. To truly promote comprehensive economic recovery, the Thai government and industry urgently need to address the following long-term issues:<\/p>\n

First, accelerate industrial upgrading and value chain climbing. Thailand should actively guide export-oriented enterprises to transform towards high-value-added fields, such as semiconductor design, AI chip testing, and precision machinery manufacturing, while strengthening domestic R&D capabilities to reduce reliance on transshipment trade.<\/p>\n

Second, promote balanced manufacturing development. Policies should support domestic-demand-oriented SMEs through tax incentives, technical guidance, and financing convenience, helping them integrate into the global supply chain and share the dividends of export growth.<\/p>\n

Third, optimize the trade statistics system. The government needs to establish a more refined trade monitoring mechanism to distinguish between real output and transshipment trade, providing an accurate basis for macroeconomic regulation.<\/p>\n

Finally, hedge against external uncertainties. Considering the risks of US trade policy and geopolitical fluctuations, Thailand should accelerate the deepening of free trade agreements such as the Regional Comprehensive Economic Partnership (RCEP) and expand into emerging markets like Africa and Latin America to achieve export market diversification.<\/p>\n

Thailand stands at a crossroads of transitioning from a trade-driven economy to an innovation-driven economy. Only by confronting structural vulnerabilities and adopting systemic reforms can it convert export growth potential into sustainable domestic development momentum.<\/p>

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  1. CONNECT:[ UseTime:0.001510s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.006378s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001267s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.002838s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000781s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.002923s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'maju' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000700s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.003545s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 37 AND ( ( LOWER(name) = 'en' ) OR `subtag` = 'en' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001302s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.006022s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001328s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.004295s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 37 AND `name` = 'thailand-2026-export-outlook-growth-momentum-structural-concerns' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.002780s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '5047' OR `id` = '5047' ) AND `subsite_id` = 37 LIMIT 1 [ RunTime:0.002074s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.002679s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.001703s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '5047' LIMIT 1 [ RunTime:0.000842s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002061s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '5047' LIMIT 1 [ RunTime:0.000695s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.002742s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002644s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '5047' [ RunTime:0.004164s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002267s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.002309s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.001851s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '37' AND `category_id` = '1432' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000899s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '5047' LIMIT 1 [ RunTime:0.000658s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '5047' [ RunTime:0.002110s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.003750s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '37' AND `type` = 'article' AND `url` = 'https://www.setmal.asia/thailand-2026-export-outlook-growth-momentum-structural-concerns' AND `create_time` >= 1786124879 AND ( `visitor_id` = 'f4571a01a08a76aafc2ad42854740ff9' OR `session_id` = '959a6464faff78b0105d15042582aae1' ) LIMIT 1 [ RunTime:0.002151s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '37' , `uid` = '0' , `visitor_id` = 'f4571a01a08a76aafc2ad42854740ff9' , `session_id` = '959a6464faff78b0105d15042582aae1' , `type` = 'article' , `target_id` = '5047' , `target_type` = 0 , `category_id` = '1432' , `title` = 'Thailand 2026 Export Outlook: Growth Drivers and Structural Concerns' , `url` = 'https://www.setmal.asia/thailand-2026-export-outlook-growth-momentum-structural-concerns' , `path` = '/thailand-2026-export-outlook-growth-momentum-structural-concerns' , `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` = '216.73.217.99' , `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` = 1786124939 , `update_time` = 1786124939 [ RunTime:0.003248s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.003208s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '5047' AND `pid` = '0' [ RunTime:0.000774s ]
  34. SELECT * FROM `g3ys_document` WHERE `category_id` = 1432 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 5047) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001383s ]
  35. SELECT * FROM `g3ys_document` WHERE `category_id` = 1432 AND `subsite_id` = 37 AND `pid` = '5047' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001133s ]
  36. SELECT * FROM `g3ys_document` WHERE `category_id` = 1432 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=5047) or ( sort = 0 and id > 5047) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001241s ]
  37. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '5500' [ RunTime:0.004618s ]
  38. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001324s ]
  39. SELECT * FROM `g3ys_total` WHERE `target_id` = '5047' LIMIT 1 [ RunTime:0.001265s ]
  40. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002511s ]
  41. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.000897s ]
  42. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.002789s ]
  43. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '37' AND `ad_location_id` = '70' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786124939 ) AND ( `end_time` = 0 OR `end_time` >= 1786124939 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001177s ]
  44. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002887s ]
  45. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 70 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.000944s ]
  46. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002178s ]
  47. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000750s ]
  48. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.000896s ]
  49. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '37' AND `ad_location_id` = '72' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786124939 ) AND ( `end_time` = 0 OR `end_time` >= 1786124939 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.000955s ]
  50. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 72 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.000710s ]
  51. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000828s ]
  52. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000897s ]
  53. SELECT * FROM `g3ys_total` WHERE `target_id` = '6088' LIMIT 1 [ RunTime:0.000755s ]
  54. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000981s ]
  55. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000878s ]
  56. SELECT * FROM `g3ys_total` WHERE `target_id` = '6071' LIMIT 1 [ RunTime:0.000752s ]
  57. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000826s ]
  58. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000836s ]
  59. SELECT * FROM `g3ys_total` WHERE `target_id` = '6056' LIMIT 1 [ RunTime:0.000644s ]
  60. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000692s ]
  61. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000680s ]
  62. SELECT * FROM `g3ys_total` WHERE `target_id` = '6050' LIMIT 1 [ RunTime:0.000703s ]
  63. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000664s ]
  64. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000692s ]
  65. SELECT * FROM `g3ys_total` WHERE `target_id` = '6002' LIMIT 1 [ RunTime:0.000615s ]
  66. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000714s ]
  67. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000657s ]
  68. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000686s ]
  69. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000731s ]
  70. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000654s ]
  71. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000664s ]
  72. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000725s ]
  73. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001449s ]
  74. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000926s ]
  75. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000811s ]
  76. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.002484s ]
  77. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.002466s ]
  78. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.001882s ]
  79. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (364,363,361,359,358,357,356,355,354,353,352,351,350,349,348) AND `subsite_id` = 37 AND `lang` = 'en' [ RunTime:0.001199s ]
  80. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000701s ]
  81. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000715s ]
  82. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000747s ]
  83. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001271s ]
0.469177s