• Korean Journal of Poultry Science
• /
• v.47 no.4
• /
• pp.199-210
• /
• 2020

Footpad dermatitis (plantar surface footpad lesions) is an increasing problem in the global poultry industry, affecting foot quality, overall welfare, and production performance. The growing consumer demand for chicken feet in Asian markets has given poultry companies interest in reducing footpad dermatitis. The lesions are multiply associated with various factors affecting the moisture content of litter such as nutrition, drinker type and management, environmental conditions (e.g., temperature, relative humidity, ammonia levels, ventilation rate), and flock health. This review addresses footpad dermatitis characteristics, causes, and the assessment system to provide a guide for future research.

• East Asian mathematical journal
• /
• v.38 no.5
• /
• pp.617-641
• /
• 2022

In this study, we first present a brief overview of the Korean general insurance market. We then explore the characteristics of the loss ratios of the Korean general insurance industry and apply Markov regime-switching methodology to model the loss ratios of these insurance companies by line of business based on changes in economic regimes. This study applies a number of confirmatory tests such as Zivot-Andrews test (2002), the Chow (1960) test and the Bai and Perron (1998) to confirm the presence of structural breaks in the time series of the loss ratios by line of business. Then, we employ Markov regime-switching methodology to model these loss ratios. We find empirical evidence that the loss ratios reported by insurance companies in Korea is characterized by two distinct regimes; a regime with high volatility and a regime with low volatility, except for vehicle insurance. Our analyses suggest that macro-economic conditions have significant explanatory effect on loss ratios but the direction of effect differs based on the line of business and the regime. Unlike previous studies that have applied linear regressions or divided the samples into different periods and then apply linear regressions to model loss ratios, we argue for the application of Markov regime-switching methodology, which are able to automatically distinguish the different regimes that may be associated with the movements of loss ratios based on differing economic conditions and regulatory upheavals. This study provides a more in depth understanding of loss ratios in the general insurance industry and will be of value to insurance practitioners in modelling the loss ratios associated with their businesses to aid in their decision making. The results may also provide a basis for further studies in other markets apart from Korea as well as for shaping policy decisions related to loss ratios.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.4
• /
• pp.29-38
• /
• 2022

The enormous sway of COVID-19 on the international financial market has been felt across the globe. The financial markets of Bangladesh have also been similarly affected by the global epidemic and experienced a significant increase in volatility. To scrutinise the connection between COVID-19 and the Dhaka Stock Exchange (DSE) indices' return and instability, this study uses data of the DSE from February 2014 to September 2021. A comparative examination of the return and instability of the stock indices of the DSE has also been done considering the outbreak of the current COVID-19 situation. After using the GJR-GARCH (1,1) model, this review uncovers that the outbreak of COVID-19 has a statistically positive noteworthy association with the DSE stock indices' instability, which increases the market's volatility. Traders' fear and the rising frequency of COVID-19 reported patients could cause this. Besides, according to this study, COVID-19 shows a substantial positive linkage with stock market returns that increases the market's return. An appealing valuation, lower interest rates in the banking channel, economic rebound following the closure to prevent coronavirus transmission, improved remittance inflows, and a return of export revenues could all have contributed to this outcome. In addition, the findings also reveal that all market indices are in a mean-reverting phase.

• Informatization Policy
• /
• v.30 no.1
• /
• pp.89-108
• /
• 2023

Science, technology and innovation (STI) has expanded the activity of actors from the traditional physical territory to the cyberspace. Data-driven platform services and markets advance new discussions on cross-border cooperation and cyber security, as well as discourse on sovereignty in cyberspace. These changes are also affecting the hegemony competition between the US and China. In particular, competition for aid to developing countries that are located along major resource transportation routes, such as natural gas and deep sea resources, is fierce. ASEAN is not only a geopolitical military and security point where the US and China powers collide, but its population of 600 million has great potential for the development of the digital economy due to its data resources. In this regard, this article aims to connect the discourse of liberalism and authoritarianism with data regulation and cybersecurity in international development cooperation, and derive implications for ASEAN integration through this. This study has significance as a convergence study that links international political issues related to big data in terms of global governance.

• Journal of Korea Trade
• /
• v.27 no.2
• /
• pp.96-114
• /
• 2023

Purpose - This paper elucidates a nexus between the occurrence of rare disaster events and the volatility of economic growth by distinguishing the likelihood of rare events from stochastic volatility. We provide new empirical facts based on a quarterly time series. In particular, we focus on the role of financial liberalization in spreading the economic crisis in developing countries. Design/methodology - We use quarterly data on consumption expenditure (real per capita consumption) from 44 countries, including advanced and developing countries, ending in the fourth quarter of 2020. We estimate the likelihood of rare event occurrences and stochastic volatility for countries using the Bayesian Markov chain Monte Carlo (MCMC) method developed by Barro and Jin (2021). We present our estimation results for the relationship between rare disaster events, stochastic volatility, and growth volatility. Findings - We find the global common disaster event, the COVID-19 pandemic, and thirteen country-specific disaster events. Consumption falls by about 7% on average in the first quarter of a disaster and by 4% in the long run. The occurrence of rare disaster events and the volatility of gross domestic product (GDP) growth are positively correlated (4.8%), whereas the rare events and GDP growth rate are negatively correlated (-12.1%). In particular, financial liberalization has played an important role in exacerbating the adverse impact of both rare disasters and financial market instability on growth volatility. Several case studies, including the case of South Korea, provide insights into the cause of major financial crises in small open developing countries, including the Asian currency crisis of 1998. Originality/value - This paper presents new empirical facts on the relationship between the occurrence of rare disaster events (or stochastic volatility) and growth volatility. Increasing data frequency allows for greater accuracy in assessing a country's specific risk. Our findings suggest that financial market and institutional stability can be vital for buffering against rare disaster shocks. It is necessary to preemptively strengthen the foundation for financial stability in developing countries and increase the quality of the information provided to markets.

• The Southeast Asian review
• /
• v.19 no.2
• /
• pp.173-218
• /
• 2009

Bring this analysis down to people-centered development perspective and looking through democratization in the Philippines, Thailand and Indonesia, we find similarities and differences among them related with the intensity of conflicts between development and human rights in the process of democratization in line with global transformation. Civil society in the Philippines criticized the developmental path in the Philippines which failed to implement land reform and eradication of poverty under the transition from 'patrimonial oligarchy' to democracy. In Thailand the coalition of military and the royalists had consolidated its power since Sarit military regime, which later paved the way 'hybrid oligarchy' era. Most Thai civil society organizations has regarded their developmental experience rather as 'maldevelopment' which disregarded economic and social rights. It has been especially believed by Thai localists that the stimulation of local markets and the building of autonomic community society will form the alternative economy without going against the conservative banner of nation, religion and king. Thaksin as a populist successfully took advantage of Thai localist ethos in favour of taking the seat of power. He projected himself as a modernizer focused on economic growth and cleaner politics. However Thaksin's procedural legitimacy was overthrown by counterattacking from military-royalist alliance, pretexting that Thaksin caused internal conflicts and lacked morality. Soeharto's New Order regime which can be called 'administrative oligarchy' had an antipathy towards notions of economic and social rights as well as civil and political rights. In spite of the fact that the fall of Soeharto opened the political space for democratic civil society organizations which had long struggled with development aggression and human rights abuses, there have been continuously a strong political and military reaction against human rights activists, NGOs and ethnic minorities such as Aceh and Papua. Nevertheless, Indonesian democracy is more promising than Philippine's and Thai democracy in terms of comparatively less pre-modern legacies.

• The Southeast Asian review
• /
• v.21 no.3
• /
• pp.139-203
• /
• 2011

This paper attempts to review of recent development of ASEAN financial integration and to evaluate it and predict its future aspect. For this purpose, we first examine the historic aspect of ASEAN financial integration such as ASEAN financial service open agreement or ASEAN capital market forum report and currently agreed integration plan. In addition, we study the development stages of ASEAM member countries in terms of its economic size or income level. Finally, we look at the financial market and institutional aspect of ASEAN member countries and the recent development of global financial market. From these analyses, we find several important facts. First, it is true that ASEAN, in general, will enjoy the effect of expanding regional investment and improving the quality of financial service through the financial integration. We think that its long term benefit is too large for ASEAN member states to avoid. Second, as a result, it is certain that ASEAN will corporate further to make its financial market to be integrated in the future. Third, however, despite these benefits and continuing efforts, we expect that it will be very difficult for ASEAN to reach a stage of financial integration as suggested in the Blueprint of ASEAN Economic Community by the year of 2015. The large difference among member states in term of economic and financial development will not allow for them to reach a single goal within a short time. Instead, we expect the following scenario for the integration process will hold. First, ASEAN will reach an agreement on the institutional framework by 2015 and afterwards, slowly the markets will begin to integrate. Second, at the earlier stage, not all but some countries will start the integration process. We expect that the financial market of ASEAN 5 will first be integrated and other 5 will join to it later.

• Journal of the Korean Geotechnical Society
• /
• v.40 no.3
• /
• pp.19-31
• /
• 2024

In Korea, driven piles are generally penetrated up to weathered rock or harder strata. Friction piles have been used to some extent in the southwest coastal area with deep soils; however, friction piles are not extensively due to uncertainties about construction quality. The embedded pile construction method is primarily used due to noise and vibration complaints. However, in Southeast Asian countries (e.g., Cambodia, Myanmar, and Vietnam), where soft sediments are deep, the driven pile method is commonly used due to its economic advantages. Construction companies are increasingly entering overseas construction markets, e.g., Southeast Asia; thus, it is necessary to understand the behavior of driven friction piles in the soil and improve on-site engineering management to gain market competitiveness in these countries. In this study, the bearing capacity of friction piles driven into clayey coastal soils in Vietnam with time-dependent characteristics was evaluated based on the dynamic and static pile load tests. Based on the results, a modified Danish formula is proposed for on-site quality management.

• Animal Bioscience
• /
• v.37 no.4_spc
• /
• pp.755-774
• /
• 2024

The main objective of this study was to present data on the current situation and future trends of pig meat production in the European Union-27 (EU). Pig production has played an important social and economic role for centuries in many states of the EU. In 2022, pig meat production in the EU reached 23 M tons, which represented 21% of total production worldwide. The two key reasons that justify such amount of pork produced, are the acceptance and high consumption of the meat by the local population and the high quality of the meat produced which facilitated pork export. However, current data show a reduction in pork production for the last three years, as a consequence of a series of events that include i) problems with the chain of ingredients supply, ii) uncontrolled increase in African Swine Fever (ASF) outbreaks, iii) fast recovery of pig production in China, iv) increasing concerns by the rural population on the high cost to meet future requirements of the EU legislation on farm management, environmental sustainability and animal welfare, v) increased cost of all inputs involved in pig production and vi) limited interest of the new farmer generation to work on the pig sector. Consequently, pork production is expected to decrease in the EU for the next years, although sales will be maintained at a relative high level because pork is the meat preferred by local consumers in most EU countries. In order to maintain the favourable position of the pork industry in the near future, strategies to implement include: i) maintain the quality of the meat destinated to export markets, ii) improve the control of outbreaks of ASF and other swine diseases, iii) implementation of technological innovations to improve working conditions making more attractive to work in the pork sector of the food chain to the new generation of farmers and workers.

• East Asian Economic Review
• /
• v.28 no.3
• /
• pp.359-388
• /
• 2024

With the escalation of global trade, the Chinese commodity futures market has ascended to a pivotal role within the international shipping landscape. The Shanghai Containerized Freight Index (SCFI), a leading indicator of the shipping industry's health, is particularly sensitive to the vicissitudes of the Chinese commodity futures sector. Nevertheless, a significant research gap exists regarding the application of Chinese commodity futures prices as predictive tools for the SCFI. To address this gap, the present study employs a comprehensive dataset spanning daily observations from March 24, 2017, to May 27, 2022, encompassing a total of 29,308 data points. We have crafted an innovative deep learning model that synergistically combines Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) architectures. The outcomes show that the CNN-LSTM model does a great job of finding the nonlinear dynamics in the SCFI dataset and accurately capturing its long-term temporal dependencies. The model can handle changes in random sample selection, data frequency, and structural shifts within the dataset. It achieved an impressive R² of 96.6% and did better than the LSTM and CNN models that were used alone. This research underscores the predictive prowess of the Chinese futures market in influencing the Shipping Cost Index, deepening our understanding of the intricate relationship between the shipping industry and the financial sphere. Furthermore, it broadens the scope of machine learning applications in maritime transportation management, paving the way for SCFI forecasting research. The study's findings offer potent decision-support tools and risk management solutions for logistics enterprises, shipping corporations, and governmental entities.