Between 2024 and 2025,a global investment frenzy in generative artificial intelligence(AI)has emerged,with governments and enterprises worldwide competing to deploy large language models,AI chips,and intelligent appli...Between 2024 and 2025,a global investment frenzy in generative artificial intelligence(AI)has emerged,with governments and enterprises worldwide competing to deploy large language models,AI chips,and intelligent applications.However,in developing countries with limited resources,such a“technological leapfrogging”strategy may entail severe structural risks.This paper argues that blind pursuit of cutting-edge AI not only diverts investment from critical basic digital infrastructure(including broadband networks,power supply,and digital literacy education)but also risks widening the digital divide across urban-rural,regional,and social groups.By analyzing policy practices and practical dilemmas in India,Vietnam,selected African nations,and central and western regions of China,this study reveals that the lack of a technology strategy aligned with developmental stages can easily lead to a dual predicament:“underutilization of advanced technologies”coexisting with“collapse of basic capabilities”.The paper advocates for a“stratified AI strategy”,prioritizing the consolidation of digital foundations before selectively developing lightweight or high social-return AI applications,to achieve inclusive technological progress.展开更多
Digital economy has become a key engine for China’s economic development,bringing new historical opportunities for marine inclusive green total factor productivity(Migtfp)improvement.This paper analyzes the effect an...Digital economy has become a key engine for China’s economic development,bringing new historical opportunities for marine inclusive green total factor productivity(Migtfp)improvement.This paper analyzes the effect and mechanism of digital economy on Migtfp based on the sample data of Migtfp,its decomposition index and digital economy index of 11 provinces(autonomous regions and municipalities directly under the central government)along the coast of China from 2011 to 2021.The results show that:(1)In time,the Migtfp and digital economy index of China’s coastal areas basically realized steady improvement during the study period.Spatially,the regional differences in the Migtfp and digital economy index are obvious,with Migtfp being highest in Guangdong and lowest in Hebei,and digital economy index being highest in Guangdong and lowest in Hainan.(2)The relationship between the digital economy and Migtfp shows a“U”-shaped relationship of inhibition followed by promotion,which is mainly realized through Mec.Mechanism analysis shows that marine technological innovation and capital factor mismatch are non-linear transmission mechanisms of the digital economy affecting Migtfp,but the mechanism of labor factor mismatch is not valid.(3)Heterogeneity analysis reveals that there is a“U”shaped relationship between the digital economy and Migtfp in regions with higher levels of the digital economy,regions with lower levels of industrial structure,and the northern and eastern marine economic circles.The results of the study can provide insights for China to formulate effective policies to enhance the Migtfp in order to realize the high-quality development of the marine economy.展开更多
基金Scientific Research Project of Guangdong Health Economics Association,2024(No.2024WJ-MF-80)2025 University-Level Teaching Innovation Team(Academic Affairs[2026]No.4)。
文摘Between 2024 and 2025,a global investment frenzy in generative artificial intelligence(AI)has emerged,with governments and enterprises worldwide competing to deploy large language models,AI chips,and intelligent applications.However,in developing countries with limited resources,such a“technological leapfrogging”strategy may entail severe structural risks.This paper argues that blind pursuit of cutting-edge AI not only diverts investment from critical basic digital infrastructure(including broadband networks,power supply,and digital literacy education)but also risks widening the digital divide across urban-rural,regional,and social groups.By analyzing policy practices and practical dilemmas in India,Vietnam,selected African nations,and central and western regions of China,this study reveals that the lack of a technology strategy aligned with developmental stages can easily lead to a dual predicament:“underutilization of advanced technologies”coexisting with“collapse of basic capabilities”.The paper advocates for a“stratified AI strategy”,prioritizing the consolidation of digital foundations before selectively developing lightweight or high social-return AI applications,to achieve inclusive technological progress.
基金supported by the Humanities and Social Sciences Research base of Ministry of Education(Grant No.22JJD790029).
文摘Digital economy has become a key engine for China’s economic development,bringing new historical opportunities for marine inclusive green total factor productivity(Migtfp)improvement.This paper analyzes the effect and mechanism of digital economy on Migtfp based on the sample data of Migtfp,its decomposition index and digital economy index of 11 provinces(autonomous regions and municipalities directly under the central government)along the coast of China from 2011 to 2021.The results show that:(1)In time,the Migtfp and digital economy index of China’s coastal areas basically realized steady improvement during the study period.Spatially,the regional differences in the Migtfp and digital economy index are obvious,with Migtfp being highest in Guangdong and lowest in Hebei,and digital economy index being highest in Guangdong and lowest in Hainan.(2)The relationship between the digital economy and Migtfp shows a“U”-shaped relationship of inhibition followed by promotion,which is mainly realized through Mec.Mechanism analysis shows that marine technological innovation and capital factor mismatch are non-linear transmission mechanisms of the digital economy affecting Migtfp,but the mechanism of labor factor mismatch is not valid.(3)Heterogeneity analysis reveals that there is a“U”shaped relationship between the digital economy and Migtfp in regions with higher levels of the digital economy,regions with lower levels of industrial structure,and the northern and eastern marine economic circles.The results of the study can provide insights for China to formulate effective policies to enhance the Migtfp in order to realize the high-quality development of the marine economy.
