Regional economic development is the spatial manifestation of modernization development track.Promoting regional high-quality development and regional coordinated development is an inevitable requirement and key support for realizing Chinese modernization.In the new development stage,China's regional economic development is facing new development environments,new technological shocks,new spatial structures and new institutional arrangements,which have an important impact on regional development impetus and regional development relationships:The new development pattern has profound connotations such as unimpeded market access and innovation-driven development,promoting changes in regional economic growth momentum,market accessibility,and the spatial distribution of industrial chains.Digital technology changes the cost and benefit comparison of factor spatial flow,thus reshaping regional spatial distance,regional factor structure and regional economic structure.Central cities and urban agglomerations are becoming the main spatial forms of agglomeration development elements,and the regional spatial structure exhibits more obvious characteristics of network and mobility,which affects the urban system and regional governance model.The strategic goal of common prosperity emphasizes the dynamic balance between spatial efficiency and spatial equity,and promotes the transformation of regional development goals and regional development relationships.The research on Chinese regional economics should be guided by the major practical issues of regional economic development in the new era,and accelerate the breakthrough and innovation of regional economic theories such as regional economic growth theory in the digital era,innovation growth pole and regional innovation theory,so as to provide theoretical support for promoting regional high-quality development and regional coordinated development in the new era.
Chinese ModernizationRegional High-Quality DevelopmentRegional Coordinated DevelopmentChinese Regional Economics
NETL
NSTL
万方数据
维普
