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中国开放从“跟跑”到“领跑”!《世界开放报告2025》发布
Di Yi Cai Jing·2025-11-05 14:07

Core Insights - The world is at a crossroads of "openness or closure," with a complex landscape characterized by "overall tightening, increasing differentiation, and momentum transformation" in global openness [1][4][5] - The 2024 World Openness Index is reported at 0.7545, a slight decrease of 0.05% year-on-year, indicating a continued contraction in global openness levels [1][4] Summary by Categories World Openness Index - The 2024 World Openness Index shows a decline of 0.05% compared to 2023, a 0.34% decrease from 2019, and a 5.39% drop from 2008, while it has increased by 7.08% since 1990 [1][4] - China's openness index has risen from 0.5891 in 1990 to 0.7634 in 2024, marking a 29.6% increase, positioning it among the top globally [1][6] Economic Trends - Global foreign direct investment has decreased by 11%, with over 40% of investment restrictions related to foreign capital scrutiny, particularly in high-tech and critical mineral sectors [5] - Economic openness index has declined by 0.22% year-on-year, while cultural openness index has decreased by 0.58%, both below levels from 2019 and 2008 [5] Regional Dynamics - Europe and North America are identified as the only regions experiencing a contraction in openness, while emerging markets and developing economies have seen a 0.42% increase in their openness index [5][6] Future Outlook - The report emphasizes that future global openness will increasingly rely on emerging forces, with digital trade becoming a significant growth engine, expanding from $3.5 trillion in 2010 to $8.2 trillion in 2023 [6] - The market for cutting-edge technologies is projected to grow from $2.5 trillion in 2023 to $16.4 trillion by 2033, creating new opportunities for open cooperation and security governance [6] Report Innovations - The report has achieved four major breakthroughs, including collaboration with a Nobel laureate and the expansion of the openness index's time span from 17 to 35 years, providing a more robust data foundation for analyzing long-term trends [6][7]