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Recent years have seen a rapid expansion of studies that examine the effects of exchange-rate risk on bilateral exports and imports for specific industries. Since the underlying theory is ambiguous, each case must be studied individually. This paper considers British trade with China, for 47 types of product, over the period from 1978 to 2010. Consistent with the underlying theory, cointegration analysis shows that most industries register no effect due to volatility in the long run, while some trade flows are reduced and a handful are even increased. An analysis of industry characteristics suggests that while the type of good might play little role on an industry's specific results, a product's trade share does. This is the case for UK imports of Chinese goods, perhaps because large Chinese exporters are able to successfully hedge against exchange-rate risk. The paper aims to discuss these issues.

The method is based on bounds testing approach to cointegration and error-correction modeling.

The paper arrives at two key conclusions. First, as has been shown previously for other country pairs, most industries demonstrate no long-run response to exchange-rate volatility. A fraction of industries are affected, and most of these effects are negative.

This research pertains to the case of industry trade between the UK and China only.

The paper identifies industries that are affected by exchange rate uncertainty.

No study has looked at the impact of exchange rate uncertainty on the trade flows between China and the UK at commodity level.

This paper aims to study the relationship between information and communication technology (ICT) readiness, use, and intensity and environmental sustainability factors in the lower and middle lower-income countries from 2012 to 2018.

ICT readiness, use and intensity are measured with the impact of ICT on access to basic services, phone penetration and Internet penetration, while CO₂ emissions per capita, fossil fuel energy consumption and methane emissions are used as indicators for air pollution. To achieve this goal, a two-step generalized method of moments (GMM) estimation was performed which thresholds are computed contingent on the validity of tested hypotheses.

The results demonstrate that increasing ICT readiness, use and intensity in lower and lower-middle-income countries enhance environmental sustainability by decreasing CO₂ emissions and energy consumption.

One of the limitations of this study is that the conclusions and policy recommendations do not take into account the specificities of each country. Indeed there are some differences in the growth pattern of ICT in the lower and middle-lower-income countries. Taken together, the authors conclude that increasing ICT has a positive net effect on CO₂ and methane emissions per capita, while increasing the impact of ICT access in basic services has a net negative effect on CO₂ fossil fuel energy consumption and methane emissions.

The world needs immediate emissions reduction to avoid the long-term danger of climate change. Second, government authorities should give additional efforts in the more pollutant sector such as transport and industry to monitor their energy consumption.

To explore this issue further, the negative net effects suggest that ICT needs to be further developed beyond the determined thresholds, to attain the required negative net effect on fossil fuel energy consumption.

The purpose of this paper is to investigate the interaction between mandatory disclosures and voluntary disclosures of banks and the information content of corporate disclosures on firm performance.

Based on the US-listed banks from 2007 to 2015, this paper examines the interplay among the fair-value measurement, corporate governance disclosure and voluntary social responsibility disclosure. In addition, the paper examines the extent of such disclosure of mandatory items (fair-value measurement) versus voluntary items (corporate governance and social responsibility issues) on banks’ performance in terms of their return on equity and return on asset.

This paper finds that banks with a higher social responsibility disclosure score and stronger corporate governance tend to have lower percentages of Level 3 fair-value assets. Banks with a higher Level 3 fair-value asset disclosure have a lower financial performance.

This paper provides evidence of the interplay of various corporate disclosures by banks and implies that banks use fair-value measurements to disguise their poor performance. The findings provide insights for the policymakers, investors and regulators to assess banks’ disclosure.

This paper extends the study of banks’ fair-value measurements and is the first study to examine the interaction between voluntary and mandatory disclosures. This study sheds lights on the theories of performativity, agency and stakeholder by demonstrating the information contents of corporate disclosures on firm performance.

Emerging evidence regarding crowdfunding challenges long-standing “gender gap” views of traditional entrepreneurial financing and indicates that female entrepreneurs may have an advantage in crowdfunding. Yet, the literature primarily focuses on influences at the individual level, largely overlooking the interaction between gender and higher-level culture. Drawing on Hofstede's cultural dimensions, this paper aims to investigate the associations among entrepreneurs' gender, culture and crowdfunding performance, particularly in how entrepreneurs' gender and culture interact to affect crowdfunding performance.

Leveraging a sample of 21,730 Kickstarter crowdfunding campaigns and combining these data with data from Hofstede's study, the World Bank (WB) and the International Telecommunication Union (ITU), this study applies multilevel models to empirically investigate this question across 22 countries/regions.

This study confirms that the advantageous effect, that female entrepreneurs are likely to obtain better fundraising performance over their male counterparts, does exist in crowdfunding. Furthermore, the findings reveal that this advantageous effect of female entrepreneurs on crowdfunding performance would be reinforced when cultures of individualism and indulgence are high and culture of long-term orientation is low.

This study contributes to the literature on gender gaps in crowdfunding and entrepreneurial financing by adding an important culture-related boundary condition to the gender preference reported in earlier crowdfunding work. Moreover, the paper extends the knowledge about the impact of culture on crowdfunding performance and enlightens future research on leveraging multilevel modeling approach to examine the complex interplay between individuals and situations in crowdfunding.

The purpose of this study is to examine the effects of nitrogen (N) deposition on clonal growth in a rhizome clonal plant, Leymus chinensis (Trin.) Tzvel.

The study established seven N concentration gradients (0, 2, 4, 8, 16, 32 and 64 g N m⁻²) to simulate the continuous increase in N deposition for the cultivation of L. chinensis seedlings and assess the response mechanism of the cloned L. chinensis plant at different N levels by analyzing the aboveground and belowground plant appearance traits, parent ramets and daughter ramets of resource allocation and biomass allocation.

The results of this study showed that the different N treatment levels could promote clonal growth and had certain regularity under the seven treatments. The addition of N could significantly increase the ramet number, rhizome length, rhizome spacer length, biomass of mother ramets, daughter ramets and belowground L. chinensis population when the N addition was greater than 4 g m⁻²; however, the clonal growth ability of L. chinensis decreased and the rhizome length, ramet number, stem and leaf biomass of daughter ramets and stem biomass of mother ramets significantly decreased when the N addition was greater than 32 g N m⁻².

With global warming, atmospheric N deposition is increasing and it is of great significance to explore the response mechanism of different N levels for the growth of clone plants. This study provides basic data and a theoretical basis for the survival prediction of cloned plants under the background of a global climate change strategy and has important theoretical and practical significance for the scientific management of grasslands in the future.

The breasts are mainly fatty and connective tissues with no muscles that directly support them, so wearing sports bras is one of the most effective means of alleviating the discomfort of breast movement and potential injury during vigorous physical exercise. However, the design and development processes of traditional sports bras are time-consuming and costly. Hence, a novel method of simulating the static contact pressure between a sports bra and women’s body based on the finite element (FE) and artificial neural network (ANN) models is developed in this study to contribute to the design considerations of sports bras.

Three-dimensional FE models of a female subject and sports bras with different fabric properties are developed to determine the amount of contact pressure exerted onto the body. The FE results are then verified by measuring the amount of pressure exerted by the sports bra on the skin with pressure sensors. The Taguchi technique is used to effectively reduce the number of trials from 625 to only 25 cases. These 25 results obtained through FE modelling are then used to provide the training set for the ANNs. Finally, a comparison between the FE and ANN results is carried out.

A novel model of the static contact pressure between a sports bra and human subject based on the FE and ANN methods is presented in this paper. The root mean square error values show that there is only a small difference between the FE and ANN results.

The ANN function established in this study can be used to predict the mechanical behaviours of breasts and has a fundamental impact on the computer-aided design of functional garments in general.

This article presents a novel case study that analyzes the applicability of DoE in the curling sport in order to improve their own performance and the performance of its athletes. Specifically, this study analyzes the most important factors to increase accuracy and precision in the draw game with curlers' opinions. It was decided to use the “Last Stone Draw (LSD)’ as an appropriate play situation.

Specifically, this study analyzes most important factors to increase accuracy and precision in the draw game with curlers opinions from the German Curling association. Three research techniques were used in this study: case study, interviews and a well-designed experiment. The analysis through the use of DoE includes a measurement system analysis, an initial variance test between two players, a screening and a characterization experiment.

The results obtained from DoE suggest that the factors routine, stress, release, balance, and the previous play situation have a substantial impact on the score of the player's draw game. However, no factor has a statistically significant impact on the average distance to the center of the target. Moreover, the DoE analysis also concludes that the accuracy and precision of the player's performance is not affected equally by all analyzed factors, but they turn into highly significant when examining their relationship to the other factors.

The findings of this study can be beneficial to other sports events in improving the performance. Moreover, DoE has proved to be an invaluable tool for many people in the German Curling Association in understanding the factors which influence the curlers performance and also factors which do not affect the curlers performance.

This research attempts to contribute to the existing sports management literature by identifying a way in which DoE can be an effective tool in non-manufacturing settings for identification of most important factors which influence the curling performance.

Traction substations are an integral part of the railway infrastructure. In order to ensure that machinery and equipment is available and utilised at full capacity, intelligent maintenance methods should be implemented. The purpose of this paper is to focus on the development of lean maintenance strategies implemented on traction substations and offer the maintenance manager an alternative maintenance method to be utilised during optimisation initiatives.

The rail company under consideration has various improvement options, the maintenance supply chain is a priority. The existing maintenance process of 3 kV_DC traction substations is examined and all operations and activities directly and indirectly associated with maintenance are analysed with lean methodologies. The analysis of maintenance operations and activities reveals that some of these operations and activities are non-value-adding and, therefore, regarded as waste. These activities only prolong the maintenance process without adding value to the process. Alternative operations and activities are suggested and simulated.

The application of lean indicates that the maintenance process could be optimised to deliver on a more efficient process, which would improve the quality of maintenance by ensuring that maintenance is timeously carried out. Through reducing the downtime caused by maintenance, the availability of the system is preserved and the railway lines could be used to capacity.

The research is limited to 3 kV_DC traction substations and the associated maintenance process, as this was the area of opportunity for the company. The track and overhead traction equipment maintenance is not included.

The practical application of this research is in optimisation of the value chain for maintenance, specifically in the rail industry.

This research could be applied by maintenance managers to effectively implement if a run-to-failure (RTF) maintenance philosophy is being utilised. The research offers maintenance techniques within the RTF maintenance scope which reduces the maintenance cycle and equipment downtime.