Population mobility, innovation, and urban low-carbon development: Evidence from heterogeneous skill mobility in China

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2025-02-04 DOI:10.1016/j.techfore.2025.124009
Huaying Wei, Min Chen, Zhouyan Xiao, Honghao Sun
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Abstract

Understanding the relationship between urbanization, migration, and carbon emissions is critical, especially given the limited research on how varying skill levels in migrating populations affect carbon emissions. This paper examines the impact of population migration on carbon emissions, focusing on the diverse skill sets of the migrating population and considering the roles of urban innovation capacity and government innovation preferences. The findings reveal that high-skilled migration leads to increased carbon emissions with positive spatial spillover effects. Urban innovation capacity contributes to higher emissions from high-skilled migration but reduces emissions from general-skilled migration, thus confirming the rebound effect associated with high-skilled migration. Importantly, government innovation preferences can mitigate the emissions impact of high-skilled migration and enhance the carbon reduction effects of general-skilled migration. These insights highlight the significance of the government's role and provide valuable guidance for policymakers in urban and developing contexts.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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