Digital economy, binary factor mismatch and sustainable economic development of coastal areas in China

被引:5
|
作者
Wu, Shujuan [1 ,2 ]
Tang, Jianhua [1 ,3 ]
Li, Minmin [1 ]
Xiao, Jianhua [1 ]
机构
[1] Wuyi Univ, Econ & Management Coll, Jiangmen, Peoples R China
[2] Wuyi Univ Res Base, Xi Jinping Thought Socialism Chinese Characterist, Jiangmen, Peoples R China
[3] Jiangmen Rural Commercial Bank, Jiangmen, Peoples R China
关键词
Binary economy; Digital economy; Intermediary effect; Sustainable development; PRODUCTIVITY; GROWTH; ALLOCATION; EMPLOYMENT;
D O I
10.1016/j.heliyon.2024.e26453
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In order to promote the sustainable economic development, it is critical employ the digital economy to solve the mismatch dilemma of land and marine factors in coastal areas. It analyzed the influencing mechanisms between the digital economy, land and labor factor mismatch and coastal economic sustainable development using network development and new economic growth theories. The intermediary and regulating effect models were used for empirical tests using panel data from 11 Chinese coastal provinces (city or district) between 2009 and 2018. Results found that: (1) Digital economy promoted the sustainable development of land and marine binary economies in coastal areas; (2) Digital economy improved the factor mismatch of land and marine binary economies, which further affected the sustainable economic development; (3) Market integration is conducive to alleviating land and marine factor mismatch and strengthening the optimization effect of the digital economy on the factor mismatch. This research provides a new perspective for clarifying the mechanism of the digital economy on sustainable economic development, as well as a reference for the realization of rational allocation of factor resources and sustainable economic development by taking factor mismatch of land and marine binary economies and market integration as the intermediary variables and regulatory variables.
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页数:15
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