Search results

This research examines the lodging experience in the context of environmentally friendly hotels by discovering the underlying guest segments. A mixed-method approach is deployed, which first reveals three lodging experience dimensions entailing, functionality, hedonism and social responsibility via in-depth interviews. Subsequently, a questionnaire survey is conducted which gathers responses from 326 guests staying at seven certified green hotels. A cluster analysis based on green lodging experiences is performed that evokes three distinct guest segments labeled as (1) spontaneous guests, (2) active guests, and (3) devoted guests. The study notes that social responsibility is the most important lodging experience across the three resultant segments. The study also finds about 31% of respondents tend not to pay much attention to green lodging operations. It leads to a suggestion that the implementation of green operations may be accomplished in a way not notably compromising certain service expectations by those not profusely aspiring of the notion of green operations. Even though meeting the needs of core customers is a vital task.

In China, more than 80,000 people have been diagnosed with COVID-19, and more than 3,000 people have lost their lives. It seems that there will be more deaths since the epidemic is not over. All the Chinese provinces have reported the COVID-19 cases. This chapter aims to explore the trend of COVID-19 treatment efficiency in Chinese provinces using the data released daily by China Center for Disease Control and Prevention. Since China Center for Disease Control and Prevention began to release data daily from January 24 to March 12, we have more than 40 groups of daily data for 31 provinces in China mainland. In the calculation, we take the daily data of each province as a sample and then we have more than 1,200 samples in this study.

We use additive two-stage data envelopment analysis as an efficiency evaluation tool to calculate the COVID-19 treatment efficiency. In our framework, the first stage is to understand the infection rate and the second stage is to evaluate the treatment efficiency. In the first stage for the tth day, we use total population (p) and number of people infected in the previous day (inf _t−1) as the inputs and cumulative number of people infected in the current day (inf _t ) as the output. In the second stage for the tth day, we use cumulative number of people infected in the current day (inf _t ) as the input and cumulative death in the current day (death _t ) and cumulative recovery in the current day (recov _t ) as the outputs. Some techniques on how to deal with undesirable outputs such as inf _t and death _t are employed in this study.

After we have the infection rate and treatment efficiency for the samples more than 1,200, we analyze the COVID-19 treatment efficiency and its development trend from January 24 to March 12 in 34 regions of China from static and dynamic aspects. The results show that, on the whole, the overall efficiency and phased efficiency of COVID-19 treatment efficiency in all regions of China are relatively high, which reflects the key factor for the Chinese government to quickly control the epidemic in the short term. Relatively speaking, the average efficiency value in the infection stage (first stage) is lower than the average efficiency value in the healing stage (second stage), which shows that the focus of anti-epidemic in China should be early detection and prevention rather than treatment process. In terms of trend, the total efficiency of COVID-19 treatment in each region shows a trend of “increasing first and then decreasing.” Our analysis indicates that in the initial stage, the continuous increase of various resources leads to the rise of the total efficiency, while in the later stage, the rapid decline of the number of infected people leads to the decrease of the total efficiency. Based on the results of the efficiency analysis, this study provides corresponding management implications and policy suggestions, hoping to provide some enlightenment and suggestions for the anti-epidemic work of other countries in the severe environment where the epidemic is spreading rapidly.

The author investigates and debates around authenticity in relation to the heritage communities of a Chinese intangible cultural heritage (ICH) item ‘Nüshu’. Nüshu is a monosyllabic phonetic system of writing created and used by women in the Jiangyong County, Hunan Province, in Southern China. Drawing on insights from both online and offline ethnographies, this study argues that in the field of ICH, disputes over heritage authenticity are fiercely negotiated by different stakeholders, including powerful state and supra-state actors. However, the emergence of digital platform has become a way for Nüshu participants to perform their identity and competence and lay claim to their own heritage authenticity.

The main theme of this volume is credit risk and credit derivatives. Recent developments in financial markets show that appropriate modeling and quantification of credit risk is fundamental in the context of modern complex structured financial products. Moreover, there is a need for further developments in our understanding of this important area. In particular modeling defaults and their correlation has been a real challenge in recent years, and still is. This problem is even more relevant after the so-called subprime crisis that hit in the summer of 2007. This makes the volume very timely and hopefully useful for researchers in the area of credit risk and credit derivatives.

This chapter presents a case study of the ways the Phoebe pedagogic planner assists faculty to design and select e-learning technology because “it's not the technology, but the [quality] of the educational experience that affects learning” (Seltz, 2010, p. 1). Faculty applied guidance from Phoebe to evaluate various interactive media options for undergraduate psychology courses to enhance student learning and engagement. The authors discuss the application of instructional technology in Introduction to Psychology, Cross-cultural Psychology, and Human Motivation and Emotion courses. These projects were prompted by earlier work (Hager & Clemmons, 2010) that explored collaboration to promote integration of technology in traditional courses. The new technologies include discussion forums; online simulations, cases and assessments; text-to-poll; and the Moodle learning management system (LMS). Current theories of e-learning are applied to analyze and critique these projects, concluding with recommendations for future research, practice, and faculty development to incorporate learning technologies. The authors demonstrate how learner-centered collaboration among faculty, researchers, and administrators can shape and improve student engagement and develop institutional cultures of e-learning.

As an important carrier of sustainable economy and social development, population is the foundation of the whole society. Scientific predictions of future population growth will bring great reference to macro-economic and social planning. For China, as a country of the biggest population, the research on its population policy is worthwhile.

Previous literatures on population growth prediction are generally based on time-series analysis. However, the new two-child policy in China provides us an opportunity to predict the population growth from the perspective of the welfare efficiency, since each family is able to determine whether to have the second child on account of the family’s utility. The welfare efficiency is calculated through the database of newborn babies, disposable income per capita, living resource per capita, and health expenditure pre capital. These are the main factors by which each family decides whether to bear additional babies. In this chapter, we perform the micro-economic analysis on a new policy and propose a Data Envelopment Analysis (DEA) method to predict the population growth. Under the condition of policy adjustment, we successfully predict the population growth with this method. We also propose some suggestions concerning the implementation of the new policy.