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To solve several “inorganic” problems generated recently by community development in China (e.g., waste of social resources, environmental pollution, and decreased economic energy efficiency), focus should be on improving the community traffic organic micro-circulation system. As a historic and mixed functional urban community, the micro-circulation system of Xi'an Railway Bureau exhibits representativeness and complexity. Based on existing research results and years of follow-up investigations, which concentrate on circulation patterns and inherent organic development requirements of the community traffic micro-circulation system, this paper builds an evaluation index system. Value function method was used to implement the index factor quantitative analysis and comprehensive evaluation. Several related strategies were proposed to improve the organic micro-circulation system of the community, which is based on the analysis of the evaluation, in order to adopt the trend in both increasing urban development and stock updating. The analysis results demonstrate that it is necessary to present guiding renewal strategies on community land, road, people, and the environment for those mixed functional communities which use progressive renewed mode. It compensates the problems of overly strong export-oriented system, which is caused by the lack of organic traffic micro-circulation, so as to achieve the selective opening of community external. The study mainly highlights the significance of the systematic analysis of evaluation in influencing strategies on community renewal.

The purpose of this paper is to examine how credit ratings affect corporate financial behavior from the perspective of merger and acquisition (M&A) decisions. The goal is to test the financing and supervisory effects of credit ratings and study the economic consequences of credit ratings in the context of China.

Using a sample of Chinese A-share listed companies over the 2008–2017 period, this paper empirically examines the effect of credit ratings on firms’ M&A decisions. The authors used a probit model for regression when they tested the effect of credit rating on M&A likelihood and a tobit model when they tested the effect of credit rating on M&A intensity.

First, rated enterprises tend to make more acquisitions compared with non-rated enterprises, consistent with the hypothesis that credit ratings alleviate financing constraints. Second, high-rated enterprises are more cautious toward M&As due to concerns about preserving their ratings, which indicates that credit ratings also play a supervisory role in the M&A process. Additional tests show that enterprises reduce M&A activity after a rating downgrade to avoid further deterioration in their ratings; this further supports the supervisory role of credit ratings.

This paper adds incremental evidence to the literature on the impact of credit ratings on corporate financial behavior and extends the literature on the factors influencing M&As. The authors provided empirical evidence from emerging capital markets for the financing and supervisory effects of credit ratings and provided theoretical guidance for promoting the stable, long-term development of China’s credit rating industry.

The significant cultural difference between China and Western countries, primarily the USA, suggests that it is necessary for researchers to take an emic approach to understand how the concept of privacy concerns is interpreted from the perspective of people from within the Chinese culture. However, all privacy concerns studies in the Chinese context have virtually adopted an etic approach. Therefore, this study aims to answer the following questions: What dimensions do privacy concerns encompass in the Chinese cultural context? What are the structural relationships among these dimensions? The authors answer these questions by conducting a mixed method research.

The authors first content analyzed Chinese news reports about information privacy and found that trading, management and awareness are relevant dimensions of privacy concerns. Further, the authors validated the three dimensions by surveying 185 Chinese consumers.

The data showed that Chinese consumers’ privacy concerns have a second-order factor structure, where the trading, management and awareness dimensions are first-order factors.

The results of this research contribute to the literature by developing the construct of privacy concerns that fits the context of Chinese culture and also point out possible managerial practices to mitigate Chinese consumers’ privacy concerns.

This study aims to focus on the optimal green R&D of a capital-constrained supply chain under different channel power structures as well as the impact of capital constraint, financing cost, channel power structure and cost-reducing efficiency on green R&D and supply chain profitability.

A two-echelon supply chain is considered. The upstream firm engages in green R&D but has capital constraints that can be overcome by external financing. Green R&D is beneficial to reduce production costs and increase consumer demand. Based on whether or not the upstream firm is capital constrained and dominates the supply chain, four models are developed.

Capital constraints significantly lower green R&D and supply chain profitability. Transferring leadership from the upstream to the downstream firms leads to higher green R&D levels and downstream firm profitability, whereas the upstream firm's profitability is increased (decreased) if green R&D investment efficiency is high (low) enough. Greater financing costs reduce green R&D and downstream firm profitability; however, the upstream firm's profitability under the model in which it functions as the follower increases if the initial capital is sufficient. More importantly, empirical analysis based on practice data is used to verify the theoretical results reported above.

This study reveals how upstream firms in supply chains decide green R&D decisions in situations with capital constraints, providing managers and governments with an understanding of the impact of capital constraint, channel power structure, financing cost and cost-reducing efficiency on supply chain green R&D and profitability.

The major contributions are the exploration of supply chain green R&D by taking into consideration channel power structures and cost-reducing efficiency and the validation of theoretical results using practice data.

The relationship between socially responsible leaders, the key driver of corporate social responsibility (CSR) practices, and organizational financial performance is a salient issue in the global context for both CSR scholars and practitioners. The purpose of this paper is to provide much-needed insights into the interplay of responsible leadership, CSR practices, and organizational outcomes.

It analyses 85 CEOs’ behaviors and their companies’ performance in a two-year database. It thereby enriches understanding of how leaders’ socially responsible decisions impact upon CSR engagement and firm performance.

The results suggest that socially responsible leaders were positively related with organizational performance of return on equity (ROE). The aspects of integrity, morality, and stakeholder relationship aspects of responsible leadership are closely related to CSR. However, CSR practices were negatively related to ROA and ROE. It implies that in China CSR activities could not boost organizational performance in the short term, at least in two years.

Our research has clear limitations. First, most selected firms are renowned large corporations, state-owned, or private enterprises. Foreign-owned enterprises are excluded. Second, the evaluation of CSP is based on the content analysis of firms’ annual CSR reports. Our research has clear limitations. First, most selected firms are renowned large corporations, state-owned, or private enterprises. Foreign-owned enterprises are excluded. Second, the evaluation of CSP is based on the content analysis of firms’ annual CSR reports.

Our research has practical implications for the business world. First, CSR practices in China shall be conducted in a strategic way. Second, responsible leadership is of significance for the Chinese MNCs that are overseas to build trustful stakeholder relations with local stakeholders.

Based on the data analysis, this study provides in-depth discussion of CSR situation in China and its relationship with firm performance, which is one of the first studies to examine responsible leadership in Chinese context and investigate the relationship between responsible leadership and organizational performance.

This paper aims to develop a finite element analysis strategy, which is suitable for the analysis of progressive failure that occurs in pressure-dependent materials in practical engineering problems.

The numerical difficulties stemming from the strain-softening behaviour of the frictional material, which is represented by a non-associated Drucker–Prager material model, is tackled using the Cosserat continuum theory, while the mixed finite element formulation based on Hu–Washizu variational principle is adopted to allow the utilization of low-order finite elements.

The effectiveness and robustness of the low-order finite element are verified, and the simulation for a real-world landslide which occurred at the upstream side of Carsington embankment in Derbyshire reconfirms the advantages of the developed elastoplastic Cosserat continuum scheme in capturing the entire progressive failure process when the strain-softening and the non-associated plastic law are involved.

The permit of using low-order finite elements is of great importance to enhance computational efficiency for analysing large-scale engineering problems. The case study reconfirms the advantages of the developed elastoplastic Cosserat continuum scheme in capturing the entire progressive failure process when the strain-softening and the non-associated plastic law are involved.

This article will select 25 years of subdivided data to perform Kaplan–Meier survival analysis on the export trade relations of Chinese wooden flooring, use discrete-time cloglog models to analyze influencing factors, use logit and probit models to test the robustness, and try to systematically reveal the duration of China's wood flooring export trade and its influencing factors.

This study used Kaplan–Meier survival function estimation method. In the survival analysis, survival function and hazard rate function are often used to characterize the distribution of survival time.

The continuous average export time of China's wooden flooring is relatively long, about 14 years. China's wooden flooring has a negative time dependency. After the export trade exceeds the threshold value of 15 years, the failure rate of trade greatly decreases, which has a “threshold effect.” Gravity model variables have a significant impact on the duration of China's wooden floor export.

Studying the duration of forest products trade is of great significance for clearing deep-level trade relations and promoting sustainable development of forest products trade.

This paper aims to address the challenges in hydroacoustic signal detection, signal distortion and target localization caused by baseline drift. The authors propose a combined algorithm that integrates short-time Fourier transform (STFT) detection, smoothness priors approach (SPA), attitude calibration and direction of arrival (DOA) estimation for micro-electro-mechanical system vector hydrophones.

Initially, STFT method screens target signals with baseline drift in low signal-to-noise ratio environments, facilitating easier subsequent processing. Next, SPA is applied to the screened target signal, effectively removing the baseline drift, and combined with filtering to improve the signal-to-noise ratio. Then, vector channel amplitudes are corrected using attitude correction with 2D compass data. Finally, the absolute target azimuth is estimated using the minimum variance distortion-free response beamformer.

Simulation and experimental results demonstrate that the SPA outperforms high-pass filtering in removing baseline drift and is comparable to the effectiveness of variational mode decomposition, with significantly shorter processing times, making it more suitable for real-time applications. The detection performance of the STFT method is superior to instantaneous correlation detection and sample entropy methods. The final DOA estimation achieves an accuracy within 2°, enabling precise target azimuth estimation.

To the best of the authors’ knowledge, this study is the first to apply SPA to baseline drift removal in hydroacoustic signals, significantly enhancing the efficiency and accuracy of signal processing. It demonstrates the method’s outstanding performance in the field of underwater signal processing. In addition, it confirms the reliability and feasibility of STFT for signal detection in the presence of baseline drift.

This paper aims to introduce a method based on the optimizer of the particle swarm optimization (PSO) algorithm to improve the efficiency of a Kriging surrogate model.

PSO was first used to identify the best group of trend functions and to optimize the correlation parameter thereafter.

The Kriging surrogate model was used to resolve the fuselage optimization of an unmanned helicopter.

The optimization results indicated that an appropriate PSO scheme can improve the efficiency of the Kriging surrogate model.

Both the STANDARD PSO and the original PSO algorithms were chosen to show the effect of PSO on a Kriging surrogate model.

The purpose of this study is to investigate the effects of different bullet screen types (functional vs social) on the continuous watching intention of consumers, as well as the influence mechanism. In addition, this study analyses the moderating role of consumer motivational orientation on the above effects.

First, objective data were obtained through the crawler to test the proposed hypotheses. An objective data analysis (417 group sample) was conducted to analyse the relationship between the percentage of social bullet screens and consumers sustained growth ratio to indirectly test the primary effect. Second, a questionnaire survey was conducted to test (176 questionnaires) the mediating role of perceived social crowding. Finally, a simulated online contextual experiment (340 participants) is conducted to explore the moderating role of consumer motivational orientation.

First, functional bullet screens produce higher continuous watching intention and lower perceived social crowding than social bullet screens. Second, perceived social crowding mediates the relationship between bullet screen type and continuous watching intention. Third, consumers' motivational orientation type (task-motivated vs recreation-motivated) moderates the relationship among bullet screen type, perceived social crowding and continuous watching intention.

The results of this study shed light on the differential impact of different types of bullet screens (functional and social) on consumers' continuous watching intentions, which makes up for the lack of research on the content of bullet screens in the field of livestreaming. Meanwhile, compared with the previous positive psychological research perspective, this study explores the intermediate mechanism of bullet screen type on consumers' continuous watching intention through a negative psychological perspective, which helps e-commerce companies and streamers better understand the differential impact of different bullet screens. Finally, this study explores the joint influence effect of bullet screen and consumer motivation type, which fills the theoretical research gap of consumer motivation orientation type in the category of live-streaming.