https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/105 2026-07-04T18:27:16Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/206444 Title: Transforming ASEAN’s future: how clean energy and innovation can shape environmental progress Authors: Yang, Jingjing; Min, Kwisik Abstract: This study explores the links between environmental innovation, growth, quality, and renewable energy (RE) in ASEAN economies. It uses sophisticated econometric methods including Panel unit root tests, Westerlund cointegration, Augmented Mean Group and Common Correlated Effects Mean Group estimation, and Dumitrescu-Hurlin causality tests to understand the short run & long-term dynamics of these relationships. The study attempts to evaluate how economic growth and financial development affect environmental quality (EQ) as well as how innovation and RE can help to slow down environmental deterioration. While RE significantly reduces emissions of carbon dioxide (CO2) and nitrous oxide (N2O), the results show that environmental innovations like patents have a delayed but beneficial long-term influence on reducing emissions. Financial development also helps to reduce emissions over the long run despite economic growth and the burning of fossil fuels increasing emissions. The Dumitrescu-Hurlin causality test shows that these factors reinforce each other, requiring coordinated policy actions. The report suggests ASEAN nations prioritize RE and environmental innovation for long-term emission reductions. For sustainable development, financial markets must be expanded to accommodate green financing programs such as green bonds. Decoupling economic growth from the use of fossil fuels is also necessary to ensure a sustainable future. 2025-12-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/206309 Title: Machine learning and game theory for cyber governance: Enhancing public opinion and regional sustainable development Authors: Song, Podong; Jin, Wiseong; Chen, Shaowei; Hu, Xufang; Min, Kwisik; Li, Shengchao; Li, Senmong Abstract: Cyberspace is emerging as a critical living environment, significantly influencing sustainable human development. Internet public opinion is a crucial aspect of cyberspace governance, serving as the most important form of expressing popular will. However, perceiving public opinion can be challenging due to its complex and elusive nature. In this paper, we propose a novel framework for perceiving popular will, managing public opinion, and influencing people’s behavior, based on machine learning and game theory approaches. Our framework leverages deep learning techniques to analyze public opinion, active learning methods to reduce costs, and game theory to make optimal management decisions. We verify the effectiveness of our framework using empirical data collected from Chinese provinces Y and G, and provide theoretical support by analyzing the interrelationship between public opinion, online public opinion, and people’s behavior. Our framework can be applied inexpensively to studies in other regions, thereby offering valuable insights into cyberspace governance and public opinion management. 2024-12-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/197077 Title: Advancing Marine-Bearing Capacity and Economic Growth: A Comprehensive Analysis of Blue Economy Resilience, Network Evolution, and Technological Influences in China's Coastal Areas Authors: Yu, Lina; Duan, Dongxin; Min, Kwi-sik; Wang, Tao Abstract: This study presents a groundbreaking approach to evaluating the resilience of China's blue economy, shedding light on its critical role in promoting sustainable development along the nation's coastlines. By employing advanced methodologies such as social network analysis and the time-varying effect random graph model (TERGM), our research meticulously examines the period from 2007 to 2019. It uncovers the complex dynamics of resilience, focusing on the adversities of unbalanced growth and pinpointing pivotal factors which shape this resilience, including the stability of the marine economy, the rigor of environmental regulations, and the impact of technological progress. Through a strategic compilation of indicators, our analysis offers a detailed perspective on the multi-faceted nature of blue economy resilience. The outcomes underscore the necessity of enhancing network effectiveness and implementing specific measures to encourage sustainable expansion in coastal domains. Leveraging these insights, we advocate for targeted strategies to refine the resilience network's framework, aiming to bolster the sustainable evolution of marine economic activities. This study not only deepens the understanding of marine economic resilience but also charts a course for achieving a resilient and sustainable blue economy. It stands as an indispensable guide for policymakers and scholars in the realm of marine economics, offering a blueprint for navigating the challenges and opportunities within this vital sector. 2024-04-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/204865 Title: Enhancing rural B&B management through machine learning and evolutionary game: A case study of rural revitalization in Yunnan, China Authors: Jin, Wiseong; Min, Kwisik; Hu, Xufang; Li, Shengchao; Wang, Xueqin; Song, Bodong; Li, Chengmeng Abstract: The rural B&B industry is a key component of rural tourism, local economic development, and the wider rural revitalization strategy. Despite the abundance of tourism resources in Yunnan, the B&B sector faces significant challenges. It is therefore imperative to accurately identify the most pressing issues within the current B&B industry and formulate appropriate solutions to advance Yunnan’s rural revitalization efforts. This study uses recent reviews of rural B&Bs on Ctrip.com and employs machine learning techniques, including Bert, CNN, LSTM, and GRU, to identify the key management challenges currently facing Yunnan’s rural B&B industry. An analysis is then conducted to identify the key stakeholders involved in the process of improving the management of Yunnan’s B&Bs. To assess the willingness of each stakeholder to support the improvement of the rural B&B industry, this paper establishes a three-party evolutionary game model and examines the dynamic evolutionary process of management improvement within Yunnan’s rural B&B industry. Two scenarios of evolutionarily stable strategies are analyzed, and parameters impacting stakeholders’ strategy choices are simulated and evaluated. The results show that: i) Improving the human factor is the top priority for the current management improvement because tourists are most concerned about the emotional experience. Operators need to focus on improving service attitude and emotional experience; ii) The main stakeholders in the current management optimization process of Yunnan B&Bs are the local government, B&B operators, and tourists. Under appropriate conditions, the evolutionarily stable strategy of (1, 1, 1) is reachable. iii) variables such as additional costs, tourists’ choice preferences, and government penalties significantly affect the strategy choices of stakeholders, especially B&B operators. This paper offers effective strategies for improving B&B management that can benefit the government, B&B operators, and tourists, and ultimately contribute to the promotion of quality rural revitalization. The paper not only identifies focal areas for improving B&B management in rural Yunnan, but also provides an in-depth understanding of stakeholder dynamics. As a result, it provides valuable insights to further the cause of quality rural revitalization. 2024-03-01T00:00:00Z