Technology capacity, product position and firm’s competitiveness: an empirical analysis

Using firm-level data from a 2009 survey conducted in Suzhou City, Jiangsu Province, China, this paper examines impacts of technology capacity and value-chain position on firm’s product competitiveness. Both technology capacity and product competitiveness are self-assessed relative to other firms and products in the same industry. The position of value-chain is measured relative to if a firm is an original brand manufacturer or not. Our empirical results show that competitiveness rises with firm’s technology capacity and its position in the global value chain. This finding is consistent with the theoretical prediction. The paper also investigates determinants of technology capacity and value-chain position, including firm’s size, R&D spending, location dummies, education level of technical and management personnel, wages of technical and management personnel, and enterprise ownership. Bootstrapping, Probit, and linear probability regression models are employed.Technology Capacity; Original Brand Manufacturer; Competitiveness; Global Value Chain; Bootstrapping

New strategies of civil society in China: a case study of the network governance approach

Since the turn of the millennium a second generation of Chinese civil society organisations (CSO) have started taking on issues such as rural migrant integration, social service provision, as well as community building. Organisations such as Beijing-based Shining Stone Community Action (SSCA) can be seen as the avant-garde of a second wave of humanistic, community-based CSO which are willing to help improve the strained state-society relationship in the People´s Republic of China (PR China). In order to advance their values and interests civil society practitioners are willing to engage with Chinese government officials. By gaining the trust of First-in-Command (FIC) cadres they manage to introduce ideas such as the principle of subsidiarity, solidarity and reciprocity. Civil society practitioners thereby initiate open-ended processes of communication, consultation and cooperation. Such processes help promote cross-sector collaboration between Chinese civil society organisations and local government agencies. These developments signify an incremental change from government control (guanzhi) to public management (guanli) and to network governance (zhili). As a framework for the case study the authors look at strategies for the establishment of cooperative relations, focusing on steering mechanisms and process factors. In order to further understand the dynamics of cross-sector collaboration they further explore the social capital dimensions of the principle of reciprocity and trust. To evaluate outcomes and impacts of cross-sector collaboration, the authors discuss the ability of collaboration partners to produce tangible results and to innovate. The findings show that successful experiments with cross-sector collaboration not only depend on structural factors but also on the skills and strategies of the individuals and organisations involved

Determinants of Loan Loss Provisions in Chinese Commercial Banks

Bank loan loss provisions are important in maintaining banks’ overall stability and soundness. After the 2008 global economic crisis, higher provisioning requirements are adopted by banks, with the aim to accumulate loan loss reserves in good time in respond to rising level of risks in bad times. The aim of the study is to examine the determinants of loan loss provisioning behaviour by Chinese commercial banks in the post-crisis period. Income smoothing, capital management, procyclical and efficiency hypothesis are tested. Based on an unbalance panel of 163 Chinese commercial banks during 2012-2018, the results support the income smoothing hypothesis and procyclical hypothesis but not for capital management hypothesis. The increase of banks’ efficiency levels would raise the loan loss provisioning levels. The empirical results also indicate that publicly traded banks are more prudent in making more provisions and smooth income to a lesser extent than unlisted banks

Numerical investigation on rock fragmentation under decoupled charge blasting

Blasting using decoupled charge is extensively applied in rock excavation and rock fragmentation. In this study, the rock fragmentation induced by blasting using decoupled charge is investigated by combined finite element modelling and image-processing. After calibrating the numerical model developed in LS-DYNA against the fragment morphology and fragmentation size distribution (FSD) in three air-coupling blasts and three water-coupling blasts, a series of cubic single-hole models are constructed to simulate rock cracking induced by decoupled charge blasting with various decoupling ratios, distinct coupling mediums and different decoupled charge modes. The simulated fracture networks are obtained by blanking the damaged elements whose damage level is over the threshold of crack formation, and the resulting crack patterns are image-processed using ImageJ to identify fragment size. Then, the blast-created FSDs are characterized by a three-parameter generalized extreme value function, and the FSDs with decoupling ratios, coupling mediums and different decoupled charge modes are quantitatively analyzed and compared. The results show that rock fragmentation becomes finer and the FSD range gets narrower with the decrease in decoupling ratio. Meanwhile, smaller fragment sizes and narrower FSD spans are obtained when changing coupling material from air to water and altering radial decoupling to axial decoupling.acceptedVersio

Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors

Multimodal sentiment analysis has attracted increasing attention and lots of models have been proposed. However, the performance of the state-of-the-art models decreases sharply when they are deployed in the real world. We find that the main reason is that real-world applications can only access the text outputs by the automatic speech recognition (ASR) models, which may be with errors because of the limitation of model capacity. Through further analysis of the ASR outputs, we find that in some cases the sentiment words, the key sentiment elements in the textual modality, are recognized as other words, which makes the sentiment of the text change and hurts the performance of multimodal sentiment models directly. To address this problem, we propose the sentiment word aware multimodal refinement model (SWRM), which can dynamically refine the erroneous sentiment words by leveraging multimodal sentiment clues. Specifically, we first use the sentiment word position detection module to obtain the most possible position of the sentiment word in the text and then utilize the multimodal sentiment word refinement module to dynamically refine the sentiment word embeddings. The refined embeddings are taken as the textual inputs of the multimodal feature fusion module to predict the sentiment labels. We conduct extensive experiments on the real-world datasets including MOSI-Speechbrain, MOSI-IBM, and MOSI-iFlytek and the results demonstrate the effectiveness of our model, which surpasses the current state-of-the-art models on three datasets. Furthermore, our approach can be adapted for other multimodal feature fusion models easily. Data and code are available at https://github.com/albertwy/SWRM.Comment: Findings of ACL 202

Technology capacity, product position and firm’s competitiveness: an empirical analysis

Using firm-level data from a 2009 survey conducted in Suzhou City, Jiangsu Province, China, this paper examines impacts of technology capacity and value-chain position on firm’s product competitiveness. Both technology capacity and product competitiveness are self-assessed relative to other firms and products in the same industry. The position of value-chain is measured relative to if a firm is an original brand manufacturer or not. Our empirical results show that competitiveness rises with firm’s technology capacity and its position in the global value chain. This finding is consistent with the theoretical prediction. The paper also investigates determinants of technology capacity and value-chain position, including firm’s size, R&D spending, location dummies, education level of technical and management personnel, wages of technical and management personnel, and enterprise ownership. Bootstrapping, Probit, and linear probability regression models are employed

Perfluorocarbon restrains inflammation and cell apoptosis in rats with lung ischemia reperfusion injury via down regulation of TLR4/NF κB signaling pathway

Purpose: To exaluate the effect of perfluorocarbon on lung ischemia-reperfusion injury in rats, and to unravel the potential underlying mechanism.Methods: A total of 36 Sprague-Dawley (SD) rats were randomly assigned to sham group, model group, and perfluorocarbon group (12 rats per group). The levels of inflammatory factors (TNF-α and IL1β) were determined using enzyme-linked immunosorbent assay (ELISA). Cell apoptosis was evaluated by terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL) assay, while Western blotting was conducted to determine the protein expressions of TLR4 and NF-κB.Results: The levels of inflammatory factors in the model and perfluorocarbon groups were significantly higher than those in operation group (p < 0.05), while their levels in perfluorocarbon group were significantly lower than in model group (p < 0.05). The mRNA expression levels of TNF-α and IL-1β in lung tissues rose significantly in both model and perfluorocarbon groups when compared with those in sham group (p < 0.05), but declined significantly in the perfluorocarbon group in comparison with those in model group (p < 0.05). Furthermore, the perfluorocarbon group exhibited a significantly lower cell apoptosis than model group (p < 0.05). The relative protein expression levels of TLR4 and NF-κBdeclined significantly in perfluorocarbon group than in model group.Conclusions: Perfluorocarbon down-regulates the TLR4/NF-κB signaling pathway, and inhibits inflammation a