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Traces the economic development of Thailand since 1945, referring to relevant research, and analyses the reasons why it was the first Southeast Asian country to collapse in the 1997 economic crisis: large current account deficits, excessive external debt, a collapse in the property sector, exchange rate mismanagement and political instability. Considers its future prospects and shows statistics on economic growth and inflation for the world as a whole and various countries and groups within it.

Singapore devotes less than 4% of its GDP to healthcare in part because its average citizen is young. As the country has become developed, the birth rate has fallen, life‐expectancy has lengthened and the cost of care has shown signs of escalation. This has occurred despite the extensive cost‐control measures built into the mandatory system of medical savings and the opt‐in supplement of medical insurance. The threat of care inflation is that much greater because of Singapore’s attempt to position itself as a regional treatment hub, because of rising incomes and expectations, and because of a shortage of doctors and nurses which is driving wages up. Old age is contributing to the problem but, the article shows, is not the only cause.

The purpose of this study is to examine the research efficiency of the research universities in Türkiye and to identify potential areas for improvement and to examine the factors affecting efficiency.

For this purpose, data envelopment analysis was conducted with the output-oriented Banker, Charnes and Cooper (BCC) model with five-year article and citation counts data of 23 universities which were obtained from the Web of Science Core Collection.

The findings of the study show that only eight research universities are efficient. There are areas of development for universities to be effective. In addition, the findings of the regression analysis conducted to reveal the determinants of efficiency revealed significant results.

Research universities in Türkiye should allocate their resources in a way to increase research performance. Policies should be developed to increase the number of publications and, more importantly, the quality of publications.

Potential areas for improvement were identified for the universities to become efficient. The results revealed that both publication quality and productivity need to be improved, but there is more room for improvement in publication quality. Regression analysis with the determinants of efficiency scores shows that the development level of the region where the universities are located has a positive effect on the research efficiency of universities. In addition, it is concluded that smaller universities have better efficiency scores.

Continuous exposure and over‐utilization of sensors in harsh environments can lead some sensors to fail, and thereby not covering the service area effectively and efficiently. The purpose of this paper is to propose a two‐level coverage restoration scheme for the failing sensors by the existing sensors deployed in the immediate neighborhood of the failing sensors. The restoration scheme extends the search process to the set of failed sensors' corner neighbors at a second stage, with non‐available immediate active neighboring sensors at its first stage. Thus, the coverage restoration scheme attempts to sustain a maximum area of coverage with failed sensors.

The authors have considered a wireless sensor network (WSN), comprised of sensors deployed in a grid‐based arrangement in an inaccessible arena. The authors have formulated the coverage restoration problem as an optimization problem, to find the nearest and most apt neighbor sensors to reach solutions of maximizing the coverage area with failed sensors, while minimizing the energy consumption. Simulated annealing has been utilized as a search algorithm to find out the neighboring sensors with maximal energy in the vicinity of the failed node to cover its area.

The experimental results within the optimization algorithm have demonstrated that the restoration scheme shows a better trade‐off in maximizing the coverage area up to 90 per cent with a decrease of 26 per cent lifespan. The performance of the algorithm is further improved with extended search space including the corner neighbors in addition to the immediate neighbors.

The proposed coverage restoration can be embedded within applications using WSN to restore the coverage and maintain its functionality with optimized energy consumption.

The paper employs a novel framework to restore the coverage of the failed sensors by doubling the sensing area of the neighborhood sensors, and it utilizes an optimization scheme to search for neighborhood sensors with maximal energy to extend the lifespan of WSN.

Thailand has served as a major outbound tourist destination for Chinese tourists for decades. Behaviours demonstrated by Chinese tourists in Thailand are believed to have created an image of Chinese outbound tourists among the residents and have impacted on the sustainability of Thai tourism. This study aims to contribute a more comprehensive and nuanced understanding of the image of Chinese outbound tourists from the perspective of Thai residents’.

In-depth interviews were conducted with 15 Thai residents who have frequent contact with Chinese tourists.

The results reveal that Thai residents’ perceptions of Chinese tourists include both positive and negative images. Positive images consist of being filial and friendly (e.g. taking good care of the elderly and having close emotional ties within their touring group) and being wealthy and auspicious (e.g. having a lot of money to spend and tipping generously). Negative images include moral norms (e.g. making loud noises and jumping into a queue), hygiene habits (e.g. littering and spitting) and religious culture (e.g. touching and climbing Buddha statues).

This qualitative research promotes the study of destination residents’ perceptions of tourists’ in the context of outbound tourism and enriches the application of social representation theory from the perspective of residents in the field of tourism marketing. It generates a more nuanced comprehension of Thai residents’ perceptions of Chinese tourists, contributes to the government’s formulation of guidelines for civilised tourism and has benefits to the sustainable development of tourism destinations.

泰国居民对中国游客的形象感知

摘要

几十年来, 泰国一直是中国游客的主要出境旅游目的地。中国游客在泰国表现出的行为在居民中创造了中国出境游客的形象, 并影响了泰国旅游业的可持续性。这项研究旨在从泰国居民的感知出发, 对中国出境游客的形象进行更全面、细致的了解。

对15位经常与中国游客接触的泰国居民进行了深入访谈。

结果表明, 泰国居民对中国游客形象的感知既包括正面形象也包括负面形象。正面的形象包括孝顺和友善（例如, 照顾老人, 并在其旅行团中保持紧密的情感联系）, 富有和吉祥（例如, 有很多钱可花, 并慷慨地付小费）, 而负面的形象则包括道德规范（例如, 大声喧哗, 并插队）, 卫生习惯（例如, 乱扔垃圾和随地吐痰）以及宗教文化（例如, 触摸和爬到佛像上）。

这项定性研究弥补了出境旅游背景下目的地居民对游客形象的感知的差距, 并且从居民的角度出发丰富了社会表象理论在旅游营销领域的应用。它使泰国居民对中国游客的认识更加细致, 有助于政府制定有针对性的文明旅游指导方针, 有利于旅游目的地未来的可持续发展。

Percepción de los residents tailandeses sobre el comportamiento de los turistas chinos

Por décadas, Tailandia ha sido un principal destino tulístico de turismo emisor para los turistas chinos.El comportamiento de los turistas chinos en Tailandia ha impresionado las imagenes de los turistas chinos emisores a los habitantes, y ha afectado la sostenibilidad de la industria turística de Tailandia. Esta investigación tiene como objetivo comenzar con la percepción de los habitantes tailandeses para conocer una comprensión más completa y detallada de las imagenes de los turistas chinos emisores.

Entrevisitar en profundidad a 15 habitantes tailandeses que a menudo contactan con los turistas chinos.

Los resultados muestran, las percepciones de los habitantes tailandeses de las imagenes de los turistas chinos contienen las imagenes positivas y negativas. Los imágenes positivas incluyen fiedad filial y amabilidad (por ejemplo, cuida a los ancianos y mantiene una estrecha conexión emocional con su grupo de viaje), riqueza y buena suerte (Por ejemplo, tiene mucho dinero para gastar y propina generosa.) pero las imagenes negativas incluyen las normas étias (por ejemplo, hace ruido fuerte y corta en línea.) los hábitos de higienes (por ejemplo, tira basura al azar y escupiendo por todas partes.) y cultura religiosa (por ejemplo, toca y trepa los estatuas de Buda.)

Esta investigación cualitativa cierra la brecha en los percepciones de los habitantes de desino de las imagenes de turistas en el contexto del turisimo emisor y comenza con los aspectos de los habitantes enriquece la aplicación de la teoría de la representación social en el campo de marketing turístico. Deja los habitantes tailanteses conocer a los turistas chinos más detallada y ayuda al gobierno a desarrollar pautas específicas de turismo civilizado y es benificioso para el futuro desarrollo sostenible de los destinos turísticos.

Transnational migration is a key challenge in migrant-sending and host-receiving countries. However, relatively little is known about how migrants use network capital to foster small and medium-sized enterprises (SMEs) in the ASEAN Economic Community (AEC). Therefore, the purpose of this study is to explore how network capital fosters Laotian migrant workers in Thai family SMEs.

This research was conducted using qualitative network analysis (QNA). Referral snowball sampling was used to draw 20 participants from December 2021 to March 2022. Data analysis was performed using Gephi, a software package developed for QNA (coding, network features, measure nodes and network metrics).

The main findings are the following four emerging themes: chain networks, social networks, human networks and financial networks are associated with network capital for fostering Laotian migrant workers in Thai family SMEs.

To the best of the authors’ knowledge, this study is the first QNA to explore how Laotian migrant workers use network capital in Thai family SMEs.

The development of green manufacturing has become essential to achieve sustainable development and modernize the nation’s manufacturing and production capacity without increasing nonrenewable resource consumption and pollution. This study investigates the effect of green industrial practices on technical efficiency for Thai manufacturers.

The study uses stochastic frontier analysis (SFA) to estimate the stochastic frontier production function (SFPF) and inefficiency effects model, as pioneered by Battese and Coelli (1995).

This study shows that, on average, Thai manufacturing firms have experienced declining returns-to-scale production and relatively low technical efficiency. However, it is estimated that Thai manufacturing firms with a green commitment obtained the highest technical efficiency, followed by those with green activity, green systems and green culture levels, compared to those without any commitment to green manufacturing practices. Finally, internationalization and skill development can significantly improve technical efficiency.

Green industry policy mixes will be vital for driving structural reforms toward a more environmentally friendly and sustainable economic system. Furthermore, circular economy processes can promote firms' production efficiency and resource use.

To the best of the authors' knowledge, this study is the first to investigate the effect of green industry practices on the technical efficiency of Thai manufacturing enterprises. This study also encompasses analyses of the roles of internationalization, innovation and skill development.

This study aims to provide empirical evidence on the return and volatility spillover effects between Southeast Asian stock markets, bitcoin and gold in the periods before and during the COVID-19 pandemic. The interdependence among different asset classes, the two leading stock markets in Southeast Asia (Singapore and Thailand), bitcoin and gold, is analyzed for diversification opportunities.

The vector autoregressive-Baba, Engle, Kraft, and Kroner-generalized autoregressive conditional heteroskedasticity model is used to capture the return and volatility spillover effects between different financial assets. The data cover the period from October 2013 to May 2021. The full period is divided into two sub-sample periods, the pre-pandemic period and the during-pandemic period, to examine whether the financial turbulence caused by COVID-19 affects the interconnectedness between the assets.

The stocks in Southeast Asia, bitcoin and gold become more interdependent during the pandemic. During turbulent times, the contagion effect is inevitable regardless of region and asset class. Furthermore, bitcoin does not provide protection for investors in Southeast Asia. The pricing mechanism and technology behind bitcoin are different from common stocks, yet the results indicate the co-movement of bitcoin and the Singaporean and Thai stocks during the crisis. Finally, risk-averse investors should ensure that gold constitutes a significant proportion of their portfolio, approximately 40%–55%. This strategy provides the most effective hedge against risk.

The mean return and volatility spillover is analyzed between bitcoin, gold and two preeminent stock markets in Southeast Asia. Most prior studies test the spillover effect between the same asset classes such as equities in different regions or different commodities, currencies and cryptocurrencies. Moreover, the time-series data are divided into two groups based on the structural break caused by the COVID-19 pandemic. The findings of this study offer practical implications for risk management and portfolio diversification. Diversification opportunities are becoming scarce as different financial assets witness increasing integration.