Exploring the nexus between rural economic digitalization and agricultural carbon emissions: A multi-scale analysis across 1607 counties in China.

Rural economic digitalization has emerged as a critical driver for reducing agricultural carbon emissions, playing a pivotal role in achieving China's "carbon peak" and "carbon neutrality" targets. Despite its importance, research on the spatial heterogeneity of rural economic digitalization's impact on agricultural carbon emissions remains limited. This study utilizes county-level data from 1607 counties in China to explore the spatial patterns of rural economic digitalization and agricultural carbon emissions.

CO emissions are first aggravated and then alleviated with economic growth in China: a new multidimensional EKC analysis.

CO emissions have become a topical issue worldwide, but few studies have considered the spatial effect of income on carbon emissions and explored the relationship between CO emissions and income by establishing direct, indirect, and total environmental Kuznets curves (EKCs). Using an annual panel dataset collected over the 1997-2017 period in China, this study first analyzed the spatiotemporal evolutionary process of CO emissions and subsequently developed direct, indirect, and total EKC-based spatial Durbin model (SDM) and partial derivative approach. These results indicate that, first, CO emissions have characteristic positive spatial autocorrelation, with gravity centers that have shifted westward.

The Spatial Heterogeneity Effect of Green Finance Development on Carbon Emissions.

This paper uses the entropy method to estimate China's green financial development from four aspects, namely, green credit, green securities, green insurance, and green investment, based on the provincial-level panel data from 2008 to 2019. The spatial Durbin model (SDM) is adopted to estimate the spatial effect of green finance on carbon emissions. We then compare the heterogeneous effect in the South and North of China.

Impact of agile intuition on innovation behavior: Chinese evidence and a new proposal.

With the tendency toward economic and strategy decoupling between China and the United States and amidst the anti-globalization trend, enterprises are facing unprecedented challenges and opportunities. In this study, we reveal how the agile intuition (AI) of top managers with respect to the external environment affects enterprise innovation behavior (IB) based on the cognition-behavior framework. Strategic learning (SL) is considered a moderator, and knowledge sharing (KS) is considered a mediator.