This study critically investigates the strategic transformation of South Korea’s entrepreneurial ecosystem within the broader trajectory of national economic modernization and innovation-centric development. The principal objective is to understand how coordinated governmental strategies, targeted institutional reforms, and private sector alignment have collectively redefined entrepreneurship as a structural pillar of economic advancement. Drawing upon a synthesis of longitudinal economic data, comparative policy frameworks, and a refined production function incorporating entrepreneurship as a distinct variable, the research adopts a multidisciplinary lens. It evaluates key dynamics such as venture investment flows, research and development spending, and startup proliferation between 2005 and 2024. Through the construction of a comprehensive entrepreneurship performance index and the estimation of an entrepreneurship-augmented growth model, the analysis captures both the macroeconomic contribution and the policy effectiveness behind Korea’s startup landscape. The findings underscore that entrepreneurship in Korea functions not as a peripheral activity but as an embedded mechanism for addressing core economic vulnerabilities, including demographic contraction, employment mismatches, and structural dependence on large conglomerates. The paper concludes that Korea’s model, characterized by institutional agility and strategic foresight, offers instructive insights for nations navigating post-industrial transitions. Its broader significance lies in demonstrating how entrepreneurship, when interwoven into national policy, education systems, and regional development, can serve as a lever for sustainable competitiveness. Rather than offering a universal blueprint, the Korean experience presents a flexible framework adaptable to diverse socio-economic contexts, especially in emerging and resource-transitioning economies.
A comprehensive bibliometric analysis was conducted to systematically examine the development, thematic evolution, and collaborative networks of scholarly research on corporate governance within healthcare systems. Data were extracted from articles indexed in both the Scopus and Web of Science databases. Following an initial retrieval of 315 records, a rigorous screening process was implemented to identify studies with direct relevance to the research focus, yielding a refined dataset of 168 articles. The Biblioshiny interface, an advanced module of the Bibliometrix package, was employed for analytical processing. Key findings included the identification of the most influential publications, authors, and contributing countries in the field. Moreover, a country-level collaboration map was generated, revealing the geographical distribution and intensity of international research partnerships. Through a detailed analysis of author keywords, conceptual structures and prevailing research themes were visualised via word clouds and trend topic plots. Thematic mapping and evolutionary trajectories highlighted the dynamic nature of corporate governance discourse in healthcare, encompassing sub-themes such as hospital governance models, healthcare accountability, stakeholder engagement, and performance-based oversight. By elucidating the intellectual structure and collaborative landscape of this interdisciplinary domain, the study provides critical insights into its historical development and future directions. These findings are expected to inform both academic inquiry and policy implementation, offering a strategic foundation for advancing governance frameworks in health systems worldwide.
This study investigates the dynamic interrelationships among credit default swap (CDS) premiums, exchange rates, and the Borsa Istanbul (BIST) Banking Index in the context of the Turkish financial market over the period 2013–2023. Monthly data have been employed, and the analysis has been conducted using the time-varying parameter vector autoregressive (TVP-VAR) model, a framework well-suited for capturing evolving interactions and volatility spillovers over time. Empirical results indicate that fluctuations in exchange rates have exerted a significant influence on the volatility of both CDS premiums and the BIST Banking Index. Furthermore, substantial volatility transmission has been observed from CDS premiums to the BIST Banking Index, highlighting the sensitivity of banking sector equity performance to sovereign credit risk perceptions. It has also been identified that CDS premiums exhibited pronounced volatility prior to 2018, remained highly volatile between 2018 and 2022, and experienced renewed volatility post-2022. Similarly, the BIST Banking Index demonstrated persistent volatility from 2014 through the end of 2022, suggesting an extended period of market instability within Turkey's banking sector. These findings contribute to the broader understanding of systemic risk and financial interconnectivity in emerging markets. They may provide valuable insights for policymakers, institutional investors, risk management professionals, and financial analysts concerned with market stability and investment strategy. Understanding these interdependencies is essential for the formulation of effective hedging strategies, the pricing of financial instruments, and the assessment of macro-financial vulnerabilities in economies subject to external shocks and credit risk fluctuations.
The relationship between agricultural financing and agricultural output in Nigeria was investigated to provide empirical insights into the efficacy of funding mechanisms in driving agricultural productivity. Government expenditure on agriculture (GOVXA), commercial bank loans to agriculture (CBLA), and disbursements under the Agricultural Credit Guarantee Scheme Fund (ACGSF) were employed as proxies for agricultural financing, while agricultural gross domestic product (AGDP) served as a proxy for agricultural output. Using quarterly data spanning from the first quarter of 2009 to the fourth quarter of 2023, the Autoregressive Distributed Lag (ARDL) model was estimated to capture both the short-run and long-run dynamics of the relationship. The analysis was conducted using EViews 9.0. The empirical findings revealed that among the financing instruments, only CBLA exerted a statistically significant and positive effect on agricultural output in both the short and long term. In contrast, neither GOVXA nor the ACGSF disbursements exhibited a significant impact on agricultural productivity during the study period. Furthermore, the inclusion of annual rainfall as a control variable indicated a robust positive effect on agricultural output, underscoring the sensitivity of Nigerian agriculture to climatic conditions. These findings suggest that while multiple funding mechanisms exist, the effectiveness of such instruments varies considerably. It is implied that the institutional efficiency and direct credit channeling associated with commercial bank lending may render it more impactful compared to broader fiscal allocations or credit guarantee schemes, which often suffer from bureaucratic inefficiencies and implementation gaps. Policy recommendations include the expansion of commercial bank lending to the agricultural sector, alongside strengthened regulatory oversight to ensure the proper utilisation of funds for productive agricultural activities. Furthermore, improvements in credit delivery mechanisms under government schemes are essential to enhance their effectiveness. A more climate-resilient approach to agricultural policy is also advocated, given the significant influence of rainfall variability on output levels.
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