Oscillations in the global trade milieu have exacerbated the ambiguity experienced by Chinese enterprises, thereby influencing their ecological transition. The ongoing debate over whether trade uncertainty augments corporate emissions, exacerbating pollution, or attenuates emissions, encouraging sustainable production, has yet to reach a consensus. The current investigation employs a textual analysis methodology to explore the influence of trade policy uncertainty on pollution emissions, by sourcing indicators of trade policy uncertainty that echo firm-level uncertainty within the period 2008 to 2021. Utilizing the fixed effects model for our analysis, the findings substantiate that escalated uncertainty at the micro-level catalyzes an increase in pollution emissions originating from firms. Crucially, we find that risk diversification and innovation bolster firms' capacities to manage pollution under escalating uncertainty. Furthermore, our estimation reveals that enterprises with low market competitiveness, high financial constraints, and moderate overseas market share are most significantly impacted, whereas those with robust patent portfolios remain largely unaffected. This study carries considerable implications for firms striving to achieve an ecological transition and offers insights for fostering sustainable and high-quality global economic development.
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Sci Rep
January 2025
Plant Science and Biotechnology Research Group, School of Life Sciences and Technology, Institut Teknologi Bandung, West Java, 40132, Indonesia.
Agarwood is a highly prized resinous wood produced by select members of the Thymelaeaceae plant family. Its formation in Aquilaria species has been expedited using various induction techniques, revealing insights into factors affecting the chemical constituents of artificially induced agarwood. Building on this, our research delved into the potential of another Thymelaeaceae member, Gyrinops versteegii, as an alternate agarwood source.
View Article and Find Full Text PDFNutr Rev
January 2025
Institute of Food Chain Science, Department of Applied Food Sciences, University of Veterinary Medicine, Budapest, 1078, Hungary.
It has been 15 years since the introduction of the NOVA food-processing classification. While it was designed to identify ultra-processed foods linked to noncommunicable diseases, the NOVA system has a holistic concept that fits with sustainable nutrition. However, NOVA's connection to other sustainable diet indicators has not been thoroughly explored.
View Article and Find Full Text PDFFront Psychol
January 2025
Guangdong Polytechnic of Science and Trade, Guangzhou, China.
Introduction: The present study examines the role of social network diversity in fostering cultural sustainability among Chinese social media users.
Methods: Utilizing a quantitative methodological approach, data was gathered from a sample of 1,200 active users across various Chinese social media platforms. Participants completed surveys assessing the diversity of their cultural interactions on these platforms, their levels of cultural empathy, cultural adaptability, and the sustainability of cultural practices.
Sci Rep
January 2025
Department of Biology, Faculty of Sciences and Techniques (FST), Dan Dicko Dankoulodo University of Maradi, Maradi, Niger.
Climate change affects peri-urban agricultural systems. However, most studies on Climate-Smart Agriculture (CSA) often focused on climate-smart villages in the Sahel region. This study investigated peri-urban farming systems in West African Sahel cities.
View Article and Find Full Text PDFSci Rep
January 2025
College of Economic and Management, Chongqing Industry Polytechnic College, Chongqing, 401120, China.
Environmental rules and regulations are essential instruments the government administration uses to control environmental problems in this era of advanced technologies and smooth economic growth. This paper aims to examine how environmental regulations, both mandatory and incentive-based, impact on carbon dioxide (CO2) emissions in the presence of urbanization, foreign trade, economic growth and energy efficiency (EE) in logistics transportation. The influence of explicating factors on dependent variables, such as the highest, lowest, and mean, is estimated using the quantile regression model.
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