Yi Shi

2 months ago | nature.com | Linjie Feng |Yi Shi |Zhenjie Yang |Su Lin |Jinghui Zhan |Huangxin Chen | +1 more

The notable rise in carbon emissions has profoundly affected humanity’s sustainable development. Achieving the "dual-carbon" goal requires understanding how enterprises can effectively reduce their carbon footprint. To elucidate the dynamic correlation of environmental regulation, corporate technological innovation, and corporate carbon emissions, this study employs a Panel Vector Autoregression model to analyze data from listed firms between 2005 and 2021, using GMM regression, impulse response analysis, and variance decomposition. The key findings are: (1) Environmental regulation, corporate technological innovation, and corporate carbon emissions exhibit self-reinforcing mechanisms, though the effect weakens over time. (2) Environmental regulation reduces corporate carbon emissions significantly, and this effect is partially mediated through corporate technological innovation. (3) A bidirectional relationship exists between corporate technological innovation and corporate carbon emissions, where corporate technological innovation has a stronger positive effect on reducing corporate carbon emissions. (4) Environmental regulation promotes corporate technological innovation, while corporate technological innovation gradually mitigates the stringency of environmental regulation. The findings herein offer actionable insights for enterprises to adopt cleaner production strategies and offer a scientific basis for policymakers to enhance environmental regulations in pursuit of a low-carbon economy.

Feb 17, 2025 | sajems.org | Yi Cui |Yi Shi |Meng Gu |Jie Li

Background: Driven by economic globalisation and technological advancements, cross-border e-commerce (CBEC) has witnessed unprecedented growth. This dynamic sector has attracted significant scholarly attention, leading to a proliferation of fragmented research. However, traditional literature reviews often lack the objectivity and depth required for a thorough understanding of the field.

Oct 1, 2024 | nature.com | Lulu Xue |Gan Zhao |Ningqiang Gong |Xuexiang Han |Zebin Xiao |Junchao Xu | +11 more

AbstractSystemic delivery of messenger RNA (mRNA) for tissue-specific targeting using lipid nanoparticles (LNPs) holds great therapeutic potential. Nevertheless, how the structural characteristics of ionizable lipids (lipidoids) impact their capability to target cells and organs remains unclear.

Sep 26, 2024 | nature.com | Xi Zheng |Guang S. He |Yi Shi

AbstractComputational models have made significant progress in predicting the effect of protein variants. However, deciphering numerous variants of uncertain significance (VUS) located within intrinsically disordered regions (IDRs) remains challenging. To address this issue, we introduce phase separation, which is tightly linked to IDRs, into the investigation of missense variants. Phase separation is vital for multiple physiological processes.

Jul 16, 2024 | pubs.rsc.org | Fa Cao |Yi Shi |Wei Zhang |Xiao Ying Liu

Self-powered all-quantum dot based broadband photodetectors for color imaging and heart rate monitoring† Self-powered broadband photodetectors (PDs) are crucial in various daily applications. However, traditional Si-based broadband PDs have limited responses in the infrared and ultraviolet spectra, hindering further development.