Some research has studied the carbon footprints of the multinational enterprises (MNEs) in the global value chains (GVCs). However, currently there are few studies have studied the carbon footprints of the foreign invested firms (FIFs) distributed in different provinces in China's domestic value chains (DVCs). This paper has used China's inter-provincial input-output table distinguishing domestically owned enterprises (DEs), Hong Kong, Macao, and Taiwan (HMTs) invested enterprises and other foreign invested enterprises (FIEs) to study the carbon footprints of the FIFs in China's DVCs and further analyzed the driving factors of the carbon footprints change. The results show that: (1) In 2017, more than two-thirds of the carbon footprints came from FIEs and this proportion had decreased 5.6% compared with 2012. The FIFs located in coastal provinces or economically developed areas basically have the largest carbon footprints. (2) The production activity of the FIFs located in some developed provinces has mostly driven the carbon emissions of other provinces that have direct or indirect trade with them. While in some less affluent energy provinces, it has mainly driven the carbon emissions of the local DEs. (3) The biggest driving factor for reducing the carbon footprints of the FIFs is the carbon emissions intensity of the DEs, followed by the input-output relationship between DEs and FIFs. The final product production of the HMTs is the largest driving factor that promoting the increase of the FIFs' carbon footprints, followed by the final product production of the FIEs. However, different driving factors have different contributions in different provinces. The research results of this article have important research significance for reasonably introducing foreign investment and promoting the reduction of the FIFs' carbon footprints in various provinces in China.
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http://dx.doi.org/10.1016/j.jenvman.2025.124049 | DOI Listing |
J Environ Manage
January 2025
School of foreign studies, Xi'an Jiaotong University, Xi'an, 710049, China. Electronic address:
Some research has studied the carbon footprints of the multinational enterprises (MNEs) in the global value chains (GVCs). However, currently there are few studies have studied the carbon footprints of the foreign invested firms (FIFs) distributed in different provinces in China's domestic value chains (DVCs). This paper has used China's inter-provincial input-output table distinguishing domestically owned enterprises (DEs), Hong Kong, Macao, and Taiwan (HMTs) invested enterprises and other foreign invested enterprises (FIEs) to study the carbon footprints of the FIFs in China's DVCs and further analyzed the driving factors of the carbon footprints change.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Business Administration, College of Business Administration, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Improving energy efficiency is crucial for smart factories that want to meet sustainability goals and operational excellence. This study introduces a novel decision-making framework to optimize energy efficiency in smart manufacturing environments, integrating Intuitionistic Fuzzy Sets (IFS) with Multi-Criteria Decision-Making (MCDM) techniques. The proposed approach addresses key challenges, including reducing carbon footprints, managing operating costs, and adhering to stringent environmental standards.
View Article and Find Full Text PDFData Brief
February 2025
Department of Agricultural Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Latokartanonkaari 5, 00014, Finland.
High Nature Value (HNV) farming systems occur in areas where the major land use is agriculture and are characterized by their significance in promoting biodiversity and ecosystem services due to their extensive land use. Despite their importance for ecological and socio-economic resilience of rural regions, these systems are often overlooked in Life Cycle Assessment (LCA) studies due to challenges in data compilation, especially from small local farms and because of the diversity of production. To address this gap, we established an international collaborative network across Europe, involving professionals directly engaged with farmers, farmer associations, and researchers to collect data on HNV farms employing a developed questionnaire examining inputs and outputs, farm structures, and herd characteristics.
View Article and Find Full Text PDFAtomic-scale changes can significantly impact heterogeneous catalysis, yet their atomic mechanisms are challenging to establish using conventional analysis methods. By using identical location scanning transmission electron microscopy (IL-STEM), which provides quantitative information at the single-particle level, we investigated the mechanisms of atomic evolution of Ru nanoclusters during the ammonia decomposition reaction. Nanometre-sized disordered nanoclusters transform into truncated nano-pyramids with stepped edges, leading to increased hydrogen production from ammonia.
View Article and Find Full Text PDFAdv Mater
January 2025
State Key Laboratory of Organic Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, P. R. China.
To reduce carbon footprint and human dependence on fossil fuels, the field of bio-based polymers has undergone explosive growth in recent years. Among them, bio-based elastomers have gained tremendous attention for their inherent softness, high strain, and resilience. In this review, the recent progress of representative bio-based elastomers derived from molecular building blocks and biopolymers are recapitulated, with an emphasis on molecular design, synthesis approaches, and mechanical performance.
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