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The purpose of this paper is to predict the likely economic effects of a free trade area (FTA) on both China and the United Kingdom (hereafter the UK).

Following literature review and trade relationship briefing, this paper uses the Global Trade Analysis Project simulation to predict the economic effects of such a FTA on both China and the UK.

The simulation results indicate that a China-UK free trade area (hereafter CUFTA) will bring more benefits than harm to both China and the UK, and achieving zero tariff or reducing technological barriers to trade (TBT) is mutually beneficial for both China and the UK, with the growth in GDP, economic welfare as well as import and export. Combining zero tariff and the reduction of TBT in exceptional departments is the most favorable way to improve the macroeconomic effects without bringing damaging effects on the comparative disadvantage industries such as transport equipment, chemicals industries for China and textiles and apparel industry for the UK.

After the UK voted to leave the European Union, CUFTA is put on the agenda by both the governments, yet there are fewer studies on CUFTA, with this paper being one of the early trials. Besides, based on the simulation results, some policy suggestions will be put forward for future negotiations and industrial policies’ adjustment.

Visitor center plays an important role in the normal operation and sustainable development of scenic spots, especially as a portal image of its management. This paper presents resilience theory for visitor centers to identify some common issues in designing visitor centers in China scenic spots, including the lack of function, loss of architectural characteristics, and difficultly in adapting to changes in the number of visitors with periodic variations. The framework of resilience theory was set from four dimensions, namely, resilience and match in the composition of ontology function, the extended function, integration of buildings into the surrounding environment, and alternative construction technologies and materials. This theory was explained and analyzed with the application of the theory in practice in combination with the design of Mount Hua visitor center. Results showed that resilience theory yields good application effect.

The study aims to delve into the interactive relationships among brand authenticity, brand attachment, brand trust and brand loyalty using the ERC authenticity framework, exploring the potential mechanisms and different configurations affecting brand loyalty through brand authenticity.

About 446 valid samples were collected through an online survey of Chinese consumers of international sports brands. Structural equation modeling (SEM) and fuzzy set qualitative comparative analysis (fsQCA) were employed to test the research hypotheses.

SEM results indicate significant positive correlations among brand true-to-ideal authenticity, true-to-fact authenticity and true-to-self authenticity. All dimensions of brand authenticity exert notable positive impacts on brand attachment, brand trust and brand loyalty. Brand true-to-ideal authenticity, true-to-fact authenticity and true-to-self authenticity not only directly influence consumer brand loyalty but also indirectly affect it through brand attachment and brand trust; fsQCA results reveal five heterogeneous configurations to predict brand loyalty.

This study not only uses SEM to validate the structural relationships among the three dimensions of brand authenticity and their linear relationships with brand attachment, brand trust and brand loyalty but also uses fsQCA to identify nonlinear relationships between concepts. It extends complexity theory to the research field of brand authenticity–brand loyalty. Furthermore, based on the research results, this study provides management suggestions for brand managers and marketers.

According to the real environment of China, the authors collect micro data about Chinese family firms (FFs) to explain why some Chinese FFs still tend to introduce external managers though they have to face governance conflict between family-based managers and external managers.

This study analyzes the effect of governance conflict between family-based managers and external managers on firm performance by using ordinary least square test, which is also used to test which factor has influence on governance conflict’s profit promotion effect.

This study finds that governance conflict significantly improves firm performance (profit promotion effect). The governance conflict caused by the introduction of external managers in Chinese FFs can significantly improve a firm’s performance by raising its management efficiency and capital investment.

The governance conflict of the family business needs to be further refined in following research. Besides, this study is only based on the empirical study of cross-section data.

Different from the existing related research is mainly based on the sample data of listed family enterprises, the China employer-employee matched survey data includes a large number of small and medium-sized FFs, and has obtained the actual situation of how many of the middle and senior managers are external not family members.

This paper aims to study the learning-by-exporting effect among small-to-medium-sized enterprises (SMEs). Specifically, the authors propose a dynamic perspective and suggest that learning-by-exporting is duration-dependent and contingent upon the born global internationalization strategy. In earlier phases of export activities, exporting has had a strong positive effect on SMEs’ innovations, which, however, diminishes over time. This inverted U-shape effect is even more distinct for born global firms.

The authors used longitudinal data with 1,689 Canadian SMEs to test their hypotheses. A two-stage instrumental approach is used to take into account the endogeneity of the born global international strategy on new product innovations.

Born globals learn faster at the early stages of exporting but also restrain their innovations more strongly than gradual internationalizers in the longer run, leveling out the initial learning advantages of newness. Thus, this study suggests that born globals have a significantly different learning trajectory than gradual internationalizers.

To maximize the benefits of exporting on innovation, managers should focus on learning during the initial years of exporting. However, once this period has passed, it is advisable for managers to invest in research and development as well as other innovation activities to complement the learning effect of exporting. Born global firms experience more rapid learning at the initial stage of exporting, but such learning effects wear off quicker later than gradually internationalized firms. For SME managers, this study helps draw their attention to the learning benefits of exporting in the initial years of export participation.

This study corroborates recent studies arguing for a “learning-by-exporting” effect. Providing longitudinal firm-level evidence, the authors also forward a dynamic perspective and show that learning by exporting is duration dependent and contingent upon the market entry strategy pursued by SMEs.

This paper aims to re-examine the effect of middle managers’ participation in decision-making (DM) on the innovation performance of Chinese manufacturing firms. It also testifies the intermediation channels regarding how middle managers’ participation influences firm innovation performance by testing the mediating effect.

This paper constructs a model that determines firm innovation and tests the hypotheses with econometric regressions using first-hand data from the China Employer–Employee Survey. Semiparametric and intersectional regressions are used to show how middle managers’ participation in DM influences Chinese firm innovation after controlling for the characteristics of middle manager personnel, entrepreneurs, frontline workers, firm, industry and country.

This paper empirically shows that middle managers’ participation in DM has a significantly positive effect on firm innovation. After testing the mediating effect, the findings show that the improvement of middle managers’ DM participation leads to a certain increase in technicians and a reduced dependence on government. In this regard, middle managers’ participation is complementary to the human capital of entrepreneurs.

This paper measures the degree of middle managers’ participation in DM according to four indicators. It focuses on the influence mechanisms of middle managers’ participation in DM on firm innovation performance, based on their ability to allocate external and internal resources. These findings will be useful for investigating management resource reallocation within firms for developing countries.

The Zr-40Ti-4.5Al-4.2V (ZT40) alloy is one of new developed Zirconium alloys with high mechanical properties and great potential for application. The investigation about effects of plastic deformation on microstructure and mechanical properties can promote practical applications of the new high performance ZrTi based alloys. The microstructural evolution and mechanical properties of the ZT40 alloy suffered hot rolling with thickness reduction from 30% to 60% at 775 °C are investigated in this work. Results show that the phase constitution changes from (α + β) to (β + fcc) while the original specimen underwent hot rolling and subsequent water quenching. The β phase in hot rolled specimen adopts preferred orientation form (200) and (211) planes to only (200) plane while the rolling reduction increases from 30% to 60%. Furthermore, no obvious preferred orientation can be detected in specimen with reductions of 60%. Micrographs analysis shows that the dynamic recrystallization occurs in hot rolled specimens. Volume fraction of the DRX grains is approximately 8% in 30% reduction specimen and increases with the increasing of rolling reduction. Nearly full recrystallization is observed in the specimen with reductions of 60%. Hardness test shows that the HV of hot rolled specimen decreases from 384 HV to 329 HV as the increasing of reduction from 30% to 60%. The mechanisms of microstructural evolution and variation of hardness are also discussed. The finding should contribute to understand microstructural evolution, to adjust mechanical properties and to promote practical applications of Zirconium alloys.

The minimum wage has been regarded as an important element of public policy for reducing poverty and inequality. Increasing the minimum wage is supposed to raise earnings for millions of low-wage workers and therefore lower earnings inequality. However, there is no consensus in the existing literature from industrialized countries regarding whether increasing the minimum wage has helped lower earnings inequality. China has recently exhibited rapid economic growth and widening earnings inequality. Since China promulgated new minimum wage regulations in 2004, the magnitude and frequency of changes in the minimum wage have been substantial, both over time and across jurisdictions. The growing importance of research on the relationship between the minimum wage and earnings inequality and its controversial nature have sparked heated debate in China, highlighting the importance of rigorous research to inform evidence-based policy making. We investigate the contribution of the minimum wage to the well-documented rise in earnings inequality in China from 2004 to 2009 by using city-level minimum wage panel data and a representative Chinese household survey, and we find that increasing the minimum wage reduces inequality – by decreasing the earnings gap between the median and the bottom decile – over the analysis period.

Traditional case-adaptation methods have poor accuracy, low efficiency and limited applicability, which cannot meet the needs of knowledge users. To address the shortcomings of the existing research in the industry, this paper proposes a case-adaptation optimization algorithm to support the effective application of tacit knowledge resources.

The attribute simplification algorithm based on the forward search strategy in the neighborhood decision information system is implemented to realize the vertical dimensionality reduction of the case base, and the fuzzy C-mean (FCM) clustering algorithm based on the simulated annealing genetic algorithm (SAGA) is implemented to compress the case base horizontally with multiple decision classes. Then, the subspace K-nearest neighbors (KNN) algorithm is used to induce the decision rules for the set of adapted cases to complete the optimization of the adaptation model.

The findings suggest the rapid enrichment of data, information and tacit knowledge in the field of practice has led to low efficiency and low utilization of knowledge dissemination, and this algorithm can effectively alleviate the problems of users falling into “knowledge disorientation” in the era of the knowledge economy.

This study provides a model with case knowledge that meets users’ needs, thereby effectively improving the application of the tacit knowledge in the explicit case base and the problem-solving efficiency of knowledge users.

The adaptation model can serve as a stable and efficient prediction model to make predictions for the effects of the many logistics and e-commerce enterprises' plans.

This study designs a multi-decision class case-adaptation optimization study based on forward attribute selection strategy-neighborhood rough sets (FASS-NRS) and simulated annealing genetic algorithm-fuzzy C-means (SAGA-FCM) for tacit knowledgeable exogenous cases. By effectively organizing and adjusting tacit knowledge resources, knowledge service organizations can maintain their competitive advantages. The algorithm models established in this study develop theoretical directions for a multi-decision class case-adaptation optimization study of tacit knowledge.

This study aims to satisfy the thermal management of gallium nitride (GaN) high-electron mobility transistor (HEMT) devices, microchannel-cooling is designed and optimized in this work.

A numerical simulation is performed to analyze the thermal and flow characteristics of microchannels in combination with computational fluid dynamics (CFD) and multi-objective evolutionary algorithm (MOEA) is used to optimize the microchannels parameters. The design variables include width and number of microchannels, and the optimization objectives are to minimize total thermal resistance and pressure drop under constant volumetric flow rate.

In optimization process, a decrease in pressure drop contributes to increase of thermal resistance leading to high junction temperature and vice versa. And the Pareto-optimal front, which is a trade-off curve between optimization objectives, is obtained by MOEA method. Finally, K-means clustering algorithm is carried out on Pareto-optimal front, and three representative points are proposed to verify the accuracy of the model.

Each design variable on the effect of two objectives and distribution of temperature is researched. The relationship between minimum thermal resistance and pressure drop is provided which can give some fundamental direction for microchannels design in GaN HEMT devices cooling.