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The purpose of this paper is to describe the policy and trends in rural education in China over the past 40 years; and also discuss a number of challenges that are faced by China’s rural school system.

The authors use secondary data on policies and trends over the past 40 years for preschool, primary/junior high school, and high school.

The trends over the past 40 years in all areas of rural schooling have been continually upward and strong. While only a low share of rural children attended preschool in the 1980s, by 2014 more than 90 percent of rural children were attending. The biggest achievement in compulsory education is that the rise in the number of primary students that finish grade 6 and matriculate to junior high school. There also was a steep rise of those going to and completing high school. While the successes in upscaling rural education are absolutely unprecedented, there are still challenges.

This is descriptive analysis and there is not causal link established between policies and rural schooling outcomes.

The authors illustrate one of the most rapid rises of rural education in history and match the achievements up with the policy efforts of the government. The authors also explore policy priorities that will be needed in the coming years to raise the quality of schooling.

This is the first paper that documents both the policies and the empirical trends of the success that China has created in building rural education from preschool to high school during the first 40 years of reform (1978-2018). The paper also documents – drawing on the literature and the own research – the achievements and challenges that China still face in the coming years, including issues of gender, urbanization, early childhood education and health and nutrition of students.

Some researchers have found that disasters may have a “blessing in disguise effect” that some disaster sites transformed into more popular tourism destinations; however, no studies have analyzed the heterogeneity of the “blessing in disguise effect”. This paper aims to explore and determine the effect of cultural distance on international inbound tourist arrivals to a post-disaster tourist destination that could explain this heterogeneous phenomenon.

This study used a threshold regression model and a differences-in-differences (DID) approach to analyze 2000–2016 international tourist arrival data from 13 main origin countries to Sichuan Province before and after the 2008 Wenchuan Earthquake in China.

The effect of cultural distance on post-disaster inbound arrivals from the various origin countries followed a non-linear U-shaped “double-edged sword” pattern rather than displaying a simple linear relationship. Most notably, the disaster appeared to have a more positive effect on arrivals from countries with larger cultural distances, while the effect on arrivals from countries with shorter cultural distances was negative.

This study found that cultural distance could explain the heterogeneous “blessing in disguise” phenomenon, and it had both positive and negative impacts on tourism destination recovery; that is, a definite “double-edged sword effect” of cultural distance was found, which could help destination marketing organizations and management departments to design appropriately targeted marketing for post-disaster tourism destination recovery.

些研究人员发现, 灾难可能会产生“因祸得福效应”, 即一些灾难现场变成了更受欢迎的旅游目的地。然而, 目前还没有研究分析这种“因祸得福效应”的异质性。本研究旨在探讨文化距离对灾后旅游目的地的国际入境旅游流的影响, 从而解释这种异质性现象。

本文采用门槛回归模型和双重差分法（DID）分析了2008年汶川地震发生前后（2000–2016年）来自13个主要来源国到中国四川省旅游的国际入境旅游流数据。

文化距离对灾后客源国的入境旅游人数的影响呈现非线性的U型“双刃剑”模式, 而不是简单的线性关系。最值得注意的是, 灾难似乎对来自文化距离较大的客源国的游客人数产生了更积极的影响, 而对来自文化距离较短的客源国的游客人数产生了消极的影响。

本研究发现, 文化距离可以解释异质性的“因祸得福”现象, 文化距离对旅游目的地恢复既有积极影响, 也有消极影响, 即文化距离具有明确的“双刃剑效应”。这可以帮助旅游目的地的灾后恢复设计合理的、有针对性的营销策略和恢复政策。

Algunos investigadores han encontrado que los desastres pueden tener la “bendición del efecto disfraz” de que algunos sitios de desastre se transformen en destinos turísticos más populares;Sin embargo, ningún estudio ha analizado la heterogeneidel “efecto de bendición disfrazado”.El objetivo de este estudio es explorar y determinar el efecto de la distancia cultural en los flujos turísticos internacionales hacia un destino turístico después del desastre, lo que podría explicar este fenómeno heterogéneo.

se empleun modelo de regresión de umbral y un enfoque de diferencias en diferencias (DID) para analizar los datos de llegada de turistas internacionales de 2000–2016 de trece países de origen principal A la provincia de Sichuan antes y después del terremoto de Wenchuan de 2008 en China.

el efecto de la distancia cultural en las llegde los diversos países de origen después del desastre siguió un patrón de “espada de doble filo” no lineal en forma de u, en lugar de mostrar una relación lineal simple.Más notablemente, el desastre pareció tener un efecto más positivo en las llegde países con distancias culturales más grandes, mientras que el efecto en las llegde países con distancias culturales más cortas fue negativo.

este estudio encontró que la distancia cultural podría explicar el heterogéneo fenómeno de la “bendición disfrazada” y que tenía impactos tanto positivos como negativos en la recuperación de un destino turístico;Es decir, se encontró un “efecto de doble filo” de la distancia cultural, que podría ayudar a las organizaciones de comercialización de destinos turísticos y a los departamentos de administración a diseñar estrategias de comercialización dirigidas adecuadamente para la recuperación de destinos turísticos después del desastre.

This study aims to examine the evolution of spatial–temporal patterns in China’s hotel industry from 1978 to 2018.

A database comprising over 140,000 hotels with more than 30 rooms was created. The exploratory spatial–temporal data analysis (ESTDA) method, based on space–time cube model, was used to explore and visualize the spatial–temporal pattern of hotels.

The Chinese hotel industry can be divided into two development stages, namely, a large hotel-dominant stage before 2000 and a small–medium-sized hotel-dominant stage after 2000. China’s prefecture-level cities were clustered into four tiers. The higher the tier, the earlier the city will initiate hotel development. The Chinese hotel industry has four continuous hotspots (the Yangtze River Delta, Pearl River Delta, Bohai Rim and Sichuan and Chongqing) and some temporary hotspots.

This study lacks quantitative investigation, which could show the underlying mechanism of the evolution of the Chinese hotel industry.

This study is the first to investigate China’s hotel evolution over 40 years by applying big data and the ESTDA method. The systematic and evolutionary exploration will enable hotel researchers to understand the spatial–temporal nature of hotel distribution better. Introducing the ESTDA method into tourism and hotel research also provides an additional tool to researchers. Hotel investors and operators, city and tourism planners and market regulators can learn from the evolution of location patterns to make better where and when decisions.

The overall goal of this chapter is twofold. First, the authors aim to identify indigenous phenomena that influence employee turnover and retention in the Chinese context. Second, the authors link these phenomena to the contextualization of job embeddedness theory. To achieve the goal, the authors begin by introducing three macro-level forces (i.e., political, economic, and cultural forces) in China that help scholars analyze contextual issues in turnover studies. The authors then provide findings in the literature research on employee retention studies published in Chinese academic journals. Next, the authors discuss six indigenous phenomena (i.e., hukou, community in China, migrant workers, state-owned companies, family benefit prioritization, and guanxi) under the three macro-level forces and offer exploratory propositions illustrating how these phenomena contribute to understanding employee retention in China. Finally, the authors offer suggestions on how contextualized turnover studies shall be conducted in China.

The study aims to examine how different types of green brand ritual (GBR) influence customer engagement behavior and the mediation mechanisms and boundary conditions of the positive and negative pathways.

The study conducts two online experiments to collect data from a total of 940 consumers in China. Hypotheses are tested by independent samples t-test, two-way ANOVA and Hayes' PROCESS model.

Different kinds of GBR have different effects on customer engagement behavior. Internal GBR is more likely to play a positive role by inciting connectedness to nature. External GBR is more likely to play a negative role by inciting psychological resistance. This dual effect is especially pronounced for warm brands rather than competent brands.

The study pioneers the brand ritual into the field of interactive marketing and enriches its dual effect research. Additionally, the study figures out whether the category of brand ritual can trigger negative effect.

Inappropriate brand rituals are worse than no rituals at all. The results provide guidance for green companies to design effective brand rituals to strengthen the connection with consumers. Green brands should describe brand rituals in vivid detail and consciously lead consumers to immerse themselves in them.

This research tested the crossover effects of a leader’s resilience on followers’ outcomes via followers’ resilience.

Survey data from 87 leaders with 309 followers, collected in two waves in China, were used to test the multilevel mediation hypotheses.

The results indicated that (1) resilience could transfer from the leader to followers, and (2) leader’s resilience could further contribute to alleviating followers’ job burnout, and prompt citizenship behaviors by enhancing followers’ resilience.

This study adopted a top-down perspective to test the crossover effects of resilience, thus expanding the resilience literature illustrating its distinct influential mechanism through a vertically interpersonal perspective.

The deposition of particles onto a substrate during the cold spraying (CS) process relies on severe plastic deformation, so there are various micro-defects induced by insufficient deformation and severe crushing. To solve the problems, many post-treat techniques have been used to improving the quality by eliminating the micro-defects. This paper aims to help scholars and engineers in this field a better and systematic understand of CS technology by summarizing the post-treatment technologies that have been investigated recently years.

This review summarizes the types of micro-defects and introduces the effect of micro-defects on the properties of CS coating/additive manufactured, illustrates the post-treatment technologies and its effect on the microstructure and performances, and finally outlooks the future development trends of post-treatments for CS.

There are significant discoveries in post-treatment technology to change the performance of cold spray deposits. There are also many limitations for post-treatment methods, including improved performance and limitations of use. Thus, there is still a strong requirement for further improvement. Hybrid post-treatment may be a more ideal method, as it can eliminate more defects than a single method. The proposed ultrasonic impact treatment could be an alternative method, as it can densify and flatten the CS deposits.

It is the first time to reveal the influence factors on the performances of CS deposits from the perspective of microdefects, and proposed corresponding well targeted post-treatment methods, which is more instructive for improving the performances of CS deposits.

Prior studies have shown that terminology support can improve health information retrieval but have not taken into account the characteristics of the user performing the search. In this chapter, the impact of translating queries’ terms between lay and medico-scientific terminology, in users with different levels of health literacy and topic familiarity, is evaluated. Findings demonstrate that medico-scientific queries demand more from the users and are mostly aimed at health professionals. In addition, these queries retrieve documents that are less readable and less well understood by users. Despite this, medico-scientific queries are associated with higher precision in the top-10 retrieved documents results and tend slightly to generate knowledge with less incorrect contents, the researchers concluded that search engines should provide query suggestions with medico-scientific terminology, whenever the user is able to digest it, that is, in users above the lowest levels of health literacy and topic familiarity. On the other hand, retrieval systems should provide lay alternative queries in users with inadequate health literacy or in those unfamiliar with a topic. In fact, the quantity of incorrect contents in the knowledge that emerges from a medico-scientific session tends to decrease with topic familiarity and health literacy. In terms of topic familiarity, the opposite happens with Graded Average Precision. Moreover, users most familiar with a topic tend to have higher motivational relevance with medico-scientific queries than with lay queries. This work is the first to consider user context features while studying the impact of a query processing technique in several aspects of the retrieval process, including the medical accuracy of the acquired knowledge.

The purpose of this paper is to extend the usage of stroke gestures in manipulation tasks to make the interaction between human and robot more efficient.

In this paper, a set of stroke gestures is designed for typical manipulation tasks. A gesture recognition and parameter extraction system is proposed to exploit the information in stroke gestures drawn by the users.

The results show that the designed gesture recognition subsystem can reach a recognition accuracy of 99.00 per cent. The parameter extraction subsystem can successfully extract parameters needed for typical manipulation tasks with a success rate about 86.30 per cent. The system shows an acceptable performance in the experiments.

Using stroke gesture in manipulation tasks can make the transmission of human intentions to the robots more efficient. The proposed gesture recognition subsystem is based on convolutional neural network which is robust to different input. The parameter extraction subsystem can extract the spatial information encoded in stroke gestures.

The author designs stroke gestures for manipulation tasks which is an extension of the usage of stroke gestures. The proposed gesture recognition and parameter extraction system can make use of stroke gestures to get the type of the task and important parameters for the task simultaneously.

The aim of this paper is to implement direct teaching of industrial manipulators using current sensors. The traditional way to implement teaching is either to use a teaching pedant, which is time consuming, or use force sensors, which increases system cost. To overcome these disadvantages, a novel method is explored in the paper by using current sensors installed at joints as torque observers.

The method uses current sensors installed at each joint of a manipulator as torque observers and estimates external forces from differences between joint-driven torque computed based on the values of current sensors and commanded values of motor-driven torque. The joint-driven torque is computed by cancelling out both pre-calibrated gravity and friction resistance (compensation). Also, to make the method robust, the paper presents a strategy to detect unexpected slowly drifts and zero external forces and stop the robot in those situations.

Experimental results demonstrated that compensating the joint torques using both pre-calibrated gravity and friction resistance has performance comparable to a force sensor installed on the end effector of a manipulator. It is possible to implement satisfying direct teaching without using force sensors on 7 degree of freedom manipulators with large mass and friction resistance.

The main contribution of the paper is that the authors cancel out both pre-calibrated gravity and friction resistance to improve the direct teaching using only current sensors; they develop methods to avoid unsafe situations like slow drifts. The method will benefit industrial manipulators, especially those with large mass and friction resistance, to realize flexible and reliable direct teaching.