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The current bending test method can only test the bending performance of fabric in one direction at a time. It is not possible to directly observe the bending morphology of fabrics in different directions, and it is necessary to cut samples and repeat the test several times, which takes more time. For this situation, a multidirectional visualization of the fabric bending test method is proposed, using which multiple results can be obtained at one time and the fabric bending can be visualized.

About 17 fabrics are tested using a self-designed device. The fabrics are cut into special triangles and multiple sets of results in three directions are obtained at once using the device. The experimental specimens are photographed from the above and the transverse elongation length, bending projection area and circumference are extracted after image processing.

The results show that the correlation coefficients of transverse elongation, bending projected area and circumference are good with the bending length measured by the cantilever method. In which, all three indicators are positively correlated with the bending length. This indicates the good feasibility of the new method.

This method can get the bending index of fabrics in three directions, with five samples in each direction at one time. Meanwhile, it can also visualize the flexural differences between different fabrics and directions of the same fabric. It can provide more efficient testing means for the textile testing field, and the testing efficiency is 15 times of the existing method, which has better theoretical significance and practical values.

Research focusing on psychological capital (PsyCap) has been mainly conducted at the individual level. However, recent research has expanded investigations to the collective level with a greater focus on team-level PsyCap. Although, as demonstrated by recent systematic reviews and meta-analyses, the relationships between individual-level PsyCap and the desirable/undesirable outcomes are fairly established in the literature, less is known about such relationships for team-level PsyCap. One of these important, yet least investigated, research areas is the research stream that focuses on the relationship between team-level PsyCap and the outcomes of health, Well-Being, and safety. This chapter aims to highlight the role of individual-level PsyCap as an important predictor of employees’ health, Well-Being, and safety outcomes, but also to go beyond that to provide insights into the potential role of team-level PsyCap in predicting such outcomes at both individual and team levels. To do so, the chapter first draws upon relevant theories to discuss the empirical research findings focusing on the relationship between individual-level PsyCap and the outcomes of health, Well-Being, and safety. It then focuses on team-level PsyCap from theoretical, conceptualization, and operationalization perspectives and provides insights into how team-level PsyCap might be related to health, Well-Being, and safety outcomes at both individual and team levels. Thus, this chapter proposes new research directions in an area of PsyCap that has been left unexplored.

This study aims to explore how key stakeholders and recipients of local food access programs operate strategically to meet individual and community food needs, enhance experiences of dignity and promote social justice. The study of a fragmented community food system highlights the connections between micro and meso dimensions of food access, illustrating how people work around food system limitations to access food.

Using qualitative in-depth interviews with food assistance managers, workers, volunteers and recipients, this study examines the period before the implementation of a centralized community-based food access initiative in a mid-sized, rural Oklahoma college town with a high rate of food insecurity. This study asks: What are community members’ experiences in a fragmented food assistance system? In what ways do individuals use everyday resistance and workarounds to actively promote experiences of dignity and social justice in food access spaces?

Those involved in sites of community food access build important networks to share information and engage in negotiation and trade to gain access to useful food resources. As forms of everyday resistance, such practices encourage co-construction of dignity and social justice in stigmatized spaces.

This research contributes to literature examining micro- and meso-level community dynamics that inform agency, dignity and social justice in community food access approaches.

Professional football clubs, like other businesses, need to make investments in both human capital and fixed capital. We examine how investments in players, managers and stadiums drive football club performance.

Using data from the English Premier League (EPL) from 2012 to 2021, we use a lag model to relate investments in the past two years to the current financial and sporting performance of clubs.

We find that investments in new players are associated with better subsequent sporting performance. A £100 million increase in transfer expenditure is associated with 12 more points and 4 better table positions over the following two seasons. Investments in stadiums are associated with better subsequent financial performance. An increase in stadium capacity by 10,000 seats is associated with an extra £26 million in profits over the next two seasons. Manager changes are associated with better sporting performance in non-Big Six clubs, but worse sporting and financial performance in Big Six clubs.

These results have implications for optimal investment strategies at professional football clubs. For example, we find that new managers in Big Six clubs need to be complemented by additional transfer expenditure of at least £135 million to maintain the same level of sporting performance.

The purpose of this study is to reveal the dynamics of house prices and sales in spatial and temporal dimensions across British regions.

This paper incorporates two empirical approaches to describe the behaviour of property prices across British regions. The models are applied to two different data sets. The first empirical approach is to apply the price diffusion model proposed by Holly et al. (2011) to the UK house price index data set. The second empirical approach is to apply a bivariate global vector autoregression model without a time trend to house prices and transaction volumes retrieved from the nationwide building society.

Identifying shocks to London house prices in the GVAR model, based on the generalized impulse response functions framework, I find some heterogeneity in responses to house price changes; for example, South East England responds stronger than the remaining provincial regions. The main pattern detected in responses and characteristic for each region is the fairly rapid fading of the shock. The spatial-temporal diffusion model demonstrates the presence of a ripple effect: a shock emanating from London is dispersed contemporaneously and spatially to other regions, affecting prices in nondominant regions with a delay.

The main contribution of this work is the betterment in understanding how house price changes move across regions and time within a UK context.

This study aims to construct alternative models to establish the dynamic nexus between inflation and housing prices by estimating the short- and long-run relationship between housing prices and inflation for 15 OECD countries from 1980Q1 to 2022Q4. Furthermore, the authors examined this association using the core and headline inflation and price-income and price-rent ratios as proxies for inflation and housing prices, respectively.

The authors use the panel autoregressive distributed lag technique to examine the nexus between housing prices and inflation to capture the distinct characteristics of the sample countries, estimate various short-run and long-run dynamics cum separate analyses for turbulent and calm periods in the relationship between housing prices and inflation.

Changes in housing prices have a greater impact on core inflation than headline inflation. Overall, the authors establish a positive (negative) relationship between housing prices and core inflation in the long run (short run) based on alternative proxies of housing prices. However, this connection tends to be less significant for headline inflation and episodic over smaller samples, as it seems stronger during calm periods than turbulent ones.

To the best of the authors’ knowledge, the authors are the first to examine the association between housing prices and inflation by demonstrating how these variables behave during calm and turbulent periods.

Micro-regeneration can effectively enhance a neighborhood’s commercial vitality and serve as a viable approach to boost economic benefits. However, the small scale of micro-regeneration efforts and the fragmented nature of information currently limit the availability of strong empirical evidence demonstrating its impact on neighborhood commercial vitality. The aim of the study was to examine the link between micro-regeneration and neighborhood commercial vitality, focusing on the average, time-lag, spatial spillover, and spatial heterogeneity effects.

Using the panel data set of 1,755 neighborhoods in Chongqing from 2016 to 2021 as the research sample, the difference-in-differences (DID) method was employed in this study to explore the impact micro-regeneration has on neighborhood commercial vitality.

The results illustrate that: (1) micro-regeneration can promote neighborhood commercial vitality in terms of the number and types of local consumption amenities by 27.76 and 5.89%, respectively, with no time-lag effect; (2) the positive spillovers can exist within the range of 5,000 meters–5,500 meters of regenerated neighborhoods; and (3) the effect of micro-regeneration on neighborhood commercial vitality can be greater in peripheral areas than in core areas of the city.

The findings fill the knowledge gap on the relationship between micro-regeneration and neighborhood commercial vitality. Additionally, the results on the time-lag effect, spatial spillover effects, and spatial heterogeneity provide practical implications that can support the government and private sector in developing temporal and spatial arrangements for micro-regeneration projects.

The purpose of this study is to make property price forecasts for the Chinese housing market that has grown rapidly in the last 10 years, which is an important concern for both government and investors.

This study examines Gaussian process regressions with different kernels and basis functions for monthly pre-owned housing price index estimates for ten major Chinese cities from March 2012 to May 2020. The authors do this by using Bayesian optimizations and cross-validation.

The ten price indices from June 2019 to May 2020 are accurately predicted out-of-sample by the established models, which have relative root mean square errors ranging from 0.0458% to 0.3035% and correlation coefficients ranging from 93.9160% to 99.9653%.

The results might be applied separately or in conjunction with other forecasts to develop hypotheses regarding the patterns in the pre-owned residential real estate price index and conduct further policy research.

This study explores the impact of ethical and authentic leadership on employees' workplace perceptions, focusing on organisational citizenship behaviour (OCB), trust in leader, commitment, employee voice and empowerment in independent hotels across two contrasting Global Leadership and Organizational Behaviour Effectiveness (GLOBE) clusters: Germanic and Middle-Eastern clusters. It examines how national culture influences these relationships in the hospitality industry.

Data were collected from 1,678 employees in independent hotels in the Germanic European cluster (Germany and the Netherlands) and the Middle-Eastern cluster (Qatar and Turkey) using selective and snowball sampling techniques. Hypotheses were tested using two-stage structural equation modelling.

Ethical leadership significantly affects employee voice in Germany and the Netherlands but not in Qatar and Turkey. Authentic leadership positively influences employee voice in Qatar, Turkey and Germany but does not significantly impact trust in leader in any of the four countries. The study underscores the role of cultural dimensions, particularly power distance, in shaping these relationships.

This research contributes to the literature by investigating the effects of ethical and authentic leadership on key organisational variables in culturally diverse contexts within the hospitality industry. The findings highlight the necessity of considering national culture in leadership practices and suggest practical implications for independent hotels to adapt their leadership approaches to enhance employee outcomes. Future research should explore cultural dimensions as moderators in organisational relationships.

The global economy is growing very fast, and it is also facing environmental challenges. Due to increased economic activities, global warming is rising as a result of greenhouse gas emissions. Concepts like green finance and green investments are emerging to battle climate issues. The present study empirically examines the impact of green bonds on carbon dioxide (CO₂) emissions in developing countries, as these countries are producing 63% of CO₂ emissions around the globe.

To check this impact, pooled ordinary least squares (OLS), fixed effect and generalized method of moments (GMM) techniques are applied using the annual data of 65 developing countries from 2008 through 2021.

The results indicate that the overall effect of green bonds on CO₂ emissions is negative, as more issuance of green bonds reduces CO₂ emissions, confirming results from the existing empirical literature. The study found that more foreign direct investment (FDI) and urbanization lead to more CO₂ emissions, while increase in trade openness helps reduce CO₂ emissions. It was found that promoting green bonds will help to promote environmentally friendly projects that will help to reduce CO₂ emissions. Rapid urbanization has led to more energy demand for various industries like manufacturing, transportation and residential sectors, which leads to more CO₂ emissions.

The policymakers in these countries should make policies that help in reducing carbon emission by increasing green bonds and FDI in supporting projects that are environmentally friendly. Therefore, to mitigate such current and future issues, policymakers in developing countries need to give serious attention to this area to fulfill sustainable development goals.

This study presents a pioneering examination of green bonds and CO₂ emissions in 65 lower- and middle-income countries (developing countries). We have tried to cover all developing countries that are causing more greenhouse gas emissions and need to shift to green finance strategies. It will be a contribution to the body of knowledge regarding the role of green bonds in reducing CO₂ emissions. The present study will help in assessing the importance of green bonds in bringing low-carbon economies.