The establishment of free trade pilot zones (FTZs) in China has constituted a pivotal endeavor to enhance global collaboration, foster economic restructuring and transformation, and attract foreign direct investment (FDI). These objectives are pursued through a series of strategies, including implementing a negative list system, reducing the threshold for FDI, and enhancing the FDI service framework. Based on panel data from 47 cities between 2005 and 2018, this research employs a spatial difference-in-differences model to empirically examine the spatial spillover effects of establishing FTZs concerning FDI. The findings reveal the substantial positive impact of FTZs on fostering FDI within respective domains. Conversely, an adverse spillover effect is observed on FDI in neighboring vicinities. Coastal FTZs have a negative spillover effect on FDI in surrounding areas, whereas inland FTZs have minimal impact on FDI in surrounding areas. The first and third batches of FTZs have had negative spillover effects on FDI in surrounding areas, while the second batch of FTZs has had no significant spatial spillover effect on FDI. Based on the empirical conclusions, this study proposes policy recommendations to broaden the scope of FTZs, refine the spatial spillover mechanism, and foster the diversified development of FTZs. These measures are envisaged to optimize the efficacy of the FTZ strategy to advance FDI objectives.
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http://dx.doi.org/10.1016/j.heliyon.2023.e20587 | DOI Listing |
Acc Chem Res
January 2025
The Wolfson Catalysis Centre, Department of Chemistry, University of Oxford, Oxford OX1 3QR, U.K.
ConspectusThe discovery of reversible hydrogenation using metal-free phosphoborate species in 2006 marked the official advent of frustrated Lewis pair (FLP) chemistry. This breakthrough revolutionized homogeneous catalysis approaches and paved the way for innovative catalytic strategies. The unique reactivity of FLPs is attributed to the Lewis base (LB) and Lewis acid (LA) sites either in spatial separation or in equilibrium, which actively react with molecules.
View Article and Find Full Text PDFSci Rep
January 2025
Business School, Hebei University of Economics and Business, Shijiazhuang, 050062, China.
The development and implementation of county carbon control action plans in the Yellow River Basin (YRB) are crucial for realizing the "dual carbon" goals and modernizing national governance. Utilizing remote sensing data from 2001 to 2020, this study constructs a light-carbon conversion model and a carbon footprint model to simulate the carbon footprint of county energy consumption in the YRB. Employing spatial autocorrelation and spatial Durbin models, the study examines the temporal-spatial evolution characteristics and spatial effect mechanism.
View Article and Find Full Text PDFEntropy (Basel)
December 2024
Department of Physical Education and Research, Central South University, Changsha 410083, China.
This study estimates regional economic resilience in China from 2000 to 2022, focusing on economic resistance resilience, recovery resilience, and reorientation resilience. The entropy method, kernel density estimation, and spatial Durbin model are applied to examine the spatiotemporal evolution and influencing factors. The results show significant spatial clustering, with stronger resilience in the east and weaker resilience in the west.
View Article and Find Full Text PDFNat Commun
January 2025
School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Electrocatalytic gas-evolving reactions often result in bubble-covered surfaces, impeding the mass transfer to active sites. Such an issue will be worsened in practical high-current-density conditions and can cause sudden cell failure. Herein, we develop an on-chip microcell-based total-internal-reflection-fluorescence-microscopy to enable operando imaging of bubbles at sub-50 nm and dynamic probing of their nucleation during hydrogen evolution reaction.
View Article and Find Full Text PDFFront Public Health
January 2025
School of Economics, Liaoning University, Shenyang, China.
Urban public health resilience has become a critical focus in the transition to high-quality development, especially in addressing increasing public health challenges. This study explores the role of artificial intelligence (AI) technology in enhancing urban public health resilience across 284 Chinese cities from 2011 to 2021. Using a comprehensive index based on resistance, recovery, and innovation dimensions, the study quantifies AI technology levels through patent applications and authorizations, further disaggregating these into invention, utility model, and design patents.
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