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In recent Chinese history, rural villages have suffered extensive depopulation due to the intensive urbanisation of the country. In the early 1990s, the rediscovery of villages for tourism purposes caused a change in approach to conservation policies and village management. Today, villages are subjected to climate change with mass tourism as a contributing factor. The purpose of this paper is to evaluate whether the village community is climate change aware and to identify best practises for it.

In this case study, the authors adopted a visual research technique called Photovoice. It is a research method which combines preliminary data collection and initial analysis processes. The main goals of adopting Photovoice are to enable community members to record and reflect their community’s strengths and concerns, to promote dialogue and knowledge exchange among community members regarding critical local social or environmental issues through small group discussion, and to report to policymakers.

This research demonstrated that both visitors and hosts shared common thoughts on tourism interests, impacts and current actions regarding climate change. Age, level of education or origin did not interfere and it shows a common awareness regarding the effects of climate change. It confirms the structural assumption that local and expertise knowledge are complementary.

At a time when awareness of climate change is affecting almost every debate concerning development strategies, future planning, governance and action implementations, very little has been written on the climate change impact on villages from a community perspective. Even less has been researched on what are called “urban rural villages”, that are villages located at the close periphery of a large urban agglomerations or cities in China.

With the yearly increase of mileage and passenger volume in China's high-speed railway, the problems of traditional paper railway tickets have become increasingly prominent, including complexity of business handling process, low efficiency of ticket inspection and high cost of usage and management. This paper aims to make extensive references to successful experiences of electronic ticket applications both domestically and internationally. The research on key technologies and system implementation of railway electronic ticket with Chinese characteristics has been carried out.

Research in key technologies is conducted including synchronization technique in distributed heterogeneous database system, the grid-oriented passenger service record (PSR) data storage model, efficient access to massive PSR data under high concurrency condition, the linkage between face recognition service platforms and various terminals in large scenarios, and two-factor authentication of the e-ticket identification code based on the key and the user identity information. Focusing on the key technologies and architecture the of existing ticketing system, multiple service resources are expanded and developed such as electronic ticket clusters, PSR clusters, face recognition clusters and electronic ticket identification code clusters.

The proportion of paper ticket printed has dropped to 20%, saving more than 2 billion tickets annually since the launch of the application of E-ticketing nationwide. The average time for passengers to pass through the automatic ticket gates has decreased from 3 seconds to 1.3 seconds, significantly improving the efficiency of passenger transport organization. Meanwhile, problems of paper ticket counterfeiting, reselling and loss have been generally eliminated.

E-ticketing has laid a technical foundation for the further development of railway passenger transport services in the direction of digitalization and intelligence.

The purpose of this paper is to investigate how customer pressure influences green innovation in the context of Chinese third-party logistics (3PL) providers, and especially the role of organizational culture in moderating this relationship.

Based on survey data collected from 165 3PL providers in China, hierarchical moderated regression analysis was conducted to test the hypotheses.

Customer pressure is an important driver of green innovation amongst 3PL providers. Flexibility-oriented organizational culture strengthens the effect of this driving force, while control-oriented organizational culture weakens this force. Green innovation significantly contributes to financial performance and flexibility orientation strengthens this contribution, while control orientation weakens it.

This research examines the contingency effect of organizational culture in helping to resolve inconsistencies in the relationship between customer pressure and green innovation. Although the inconsistencies cannot be resolved completely, the research opens an avenue to explore other contingency factors or the possibility of a non-linear relationship.

3PL firms could undertake green innovation to satisfy customers’ environmental requirements. To develop their green innovation initiatives, managers should allow their employees greater autonomy and design (or re-design) operations procedures and regulations to be more flexible, thus enabling the diffusion of green innovation and avoiding or reducing the potential influence of control-oriented organization culture.

The study considers the conditional effect of organizational culture to reconcile the mixed results in the literature regarding the relationship between customer pressure and green innovation of logistics service providers.

At present, electrical heating clothing is widely used to keep ourselves warm at low temperature. The purpose of this paper is to explore the heat transfer performance of electrical heating fabric and the thermal comfort of human skin at low temperature.

The combined model of skin-electrical heating fabric system was established to simulate human skin tissue wearing electrical heating clothing. A series of simulation experiments are designed on the basis of verifying the effectiveness of the combined model. The temperature distribution inside the combined model and on the skin surface under different heating powers is simulated and analyzed. At the same time, the influence of ambient temperature on the thermal performance of electrical heating fabric was explored.

The skin model with blood vessels reflected the temperature change of human skin wearing electrical heating clothing. The higher the heating power of the electrical heating fabric was, the greater the temperature of the skin surface changed, the faster the temperature rose and the longer the time required to reach the stable state would be. After the heating element was electrified, it had the greatest effect on the average temperature of the epidermis and dermis, had smaller effect on the average temperature of subcutaneous layer and had little effect on the temperature of blood vessels. When the heating power was the same, the higher the ambient temperature was, the more obvious the heating effect of electrical heating fabric was. Electrical heating fabrics with different heating powers were suitable for different ambient temperature ranges.

A reasonable and effective evaluation method for the thermal comfort of electrical heating fabric was provided by establishing the skin model and combined model of the skin-electrical heating fabric system. It provides a reference for the design and application of electrical heating clothing.

Using a discrete-time version of the arbitrage-free Nelson–Siegel (AFNS) term structure model, the authors examine how yield curves in the US and China react to exchange rate policy shocks as China introduces gradual reforms to make its exchange rate regime more flexible. The paper aims to discuss this issue.

The authors characterize the specification of the discrete-time AFNS model, prove the uniqueness of the solution for model identification, perform specification analysis on its canonical form and detail the MCMC estimation method with a fast and reliable prior extraction step.

Model decomposition reveals that in the US yield responses, changes in risk premia for medium- to long-term yields dominate changes in yield expectation for short- to medium-term yields, indicating that the portfolio rebalancing effect due to varying risk perception is stronger than the signaling effect due to policy rate expectation.

The results are helpful in diagnosing market sentiment and exchange rate risk pricing as China further internationalizes its currency.

The methodology can be easily extended to study yield curve responses to other scenarios of policy shocks or regime changes.

As competition in the graduate labor market intensifies, extracurricular internships have become increasingly popular among university students. This paper explores whether and how students’ evaluation of the higher learning that they have received changes during extracurricular internships.

We interviewed 47 undergraduate students who had extracurricular internships across five Chinese universities. Data were analyzed innovatively through the lens of cross-cultural adaptation theory, which guides us to view internships as a transition from university culture to workplace culture through the stress-adaptation-growth dynamic.

The findings reveal that participants faced stress from multiple sources at the beginning of their internships, which collectively prompted them to adapt proactively to the workplace culture. While acquiring new habits and trying to acculturate into the surrounding work milieu, many participants deculturated from their old habits and student identity, putting aside higher learning. As the adaptation progressed, over half of the participants even began to critique university curricula and depreciate the value of higher learning.

The study offers theoretical insights into internships and the broader university-to-work transition as well as practical implications for universities in balancing learning and employability goals from a novel cross-cultural adaptation perspective.

The purpose of this paper is to investigate the impact of online service quality on swift guanxi that influences customer repurchase intention and the moderating role of gender in the relationship between online service quality and swift guanxi.

Based on survey data obtained from 274 college students, structural equation modeling was used to test the research hypotheses.

The results show that the dimensions of online service quality (i.e. perceived control, convenience and customer service) are positively related to buyer-seller swift guanxi, which influences repurchase intention. Additionally, men are driven mainly by perceived control and service convenience when establishing swift guanxi, whereas women care more about customer service.

Online service quality is the key factor underlying customer repurchase intention. In addition, gender differences exist in many aspects of online shopping including information processing, perceived service, and perceived risk. This is one of the first empirical studies that empirically examine the effects of three dimensions of online service quality on swift guanxi and take gender differences into consideration. Based on the conceptual and empirical evidence, this study provides the practical and theoretical implications of these findings.

Surface acoustic wave (SAW) sensors have attracted great attention worldwide for a variety of applications in measuring physical, chemical and biological parameters. However, stability has been one of the key issues which have limited their effective commercial applications. To fully understand this challenge of operation stability, this paper aims to systematically review mechanisms, stability issues and future challenges of SAW sensors for various applications.

This review paper starts with different types of SAWs, advantages and disadvantages of different types of SAW sensors and then the stability issues of SAW sensors. Subsequently, recent efforts made by researchers for improving working stability of SAW sensors are reviewed. Finally, it discusses the existing challenges and future prospects of SAW sensors in the rapidly growing Internet of Things-enabled application market.

A large number of scientific articles related to SAW technologies were found, and a number of opportunities for future researchers were identified. Over the past 20 years, SAW-related research has gained a growing interest of researchers. SAW sensors have attracted more and more researchers worldwide over the years, but the research topics of SAW sensor stability only own an extremely poor percentage in the total researc topics of SAWs or SAW sensors.

Although SAW sensors have been attracting researchers worldwide for decades, researchers mainly focused on the new materials and design strategies for SAW sensors to achieve good sensitivity and selectivity, and little work can be found on the stability issues of SAW sensors, which are so important for SAW sensor industries and one of the key factors to be mature products. Therefore, this paper systematically reviewed the SAW sensors from their fundamental mechanisms to stability issues and indicated their future challenges for various applications.

I review the burgeoning literature on applications of Markov regime switching models in empirical finance. In particular, distinct attention is devoted to the ability of Markov Switching models to fit the data, filter unknown regimes and states on the basis of the data, to allow a powerful tool to test hypotheses formulated in light of financial theories, and to their forecasting performance with reference to both point and density predictions. The review covers papers concerning a multiplicity of sub-fields in financial economics, ranging from empirical analyses of stock returns, the term structure of default-free interest rates, the dynamics of exchange rates, as well as the joint process of stock and bond returns.

The purpose of this paper is to evaluate doctoral candidates’ innovative ability tendency.

This study uses the theory of gray target contribution to analyze the influence degree of doctoral candidates’ individual personality factor toward their innovative ability and calculate gray impact quantitative values.

Based on the theory of contribution degree of gray target, a nine-factor model of innovative personality of doctoral candidates is built. IP=f (B, H, G, Q1, Q2, A, I, F, O), (therein: B – intelligence, H – social boldness, G – perseverance, Q1 – experimental, Q2 – independence, A – gregariousness, I – sensibility, F – excitability, O – anxiety).

This study based on gray target contribution theory builds nine-factor doctoral candidates’ innovative personality model to test the innovative ability tendency of doctoral candidates, which makes cultivating units, mentors and doctoral candidates to know their innovative ability tendency well, perfecting their own knowledge structure in time, effectively improving their innovative ability. The system can also be applied to the work of doctoral candidates as a reference tool to evaluate the innovative ability of applicants.

This study quantitatively evaluates the influence of doctoral candidates’ personality index on the tendency of doctoral candidates’ innovative ability.