Research Papers - Dept of Information of Management

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/607

Browse

Filters

2025 - 20262

Advanced Search

Filter by

Settings

Author: search.filters.author.Rathnayake, NSubject: search.filters.subject.Economic growth

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    PublicationOpen Access
    Explainable AI for public health surveillance: investigating the persistent crisis of intentional injury mortality (suicide and homicide) in the Americas
    (Nature Research, 2026-05-24) Kularathne, S; Rathnayake, N; Jayathilaka, R; Nakaoka, I; Hoshino, Y
    Intentional injury mortality (IIM), comprising homicide and suicide, remains a critical public health crisis in the Americas, which not only has the highest regional homicide rates globally but is also the only region where suicide rates continue to rise. This study employs explainable artificial intelligence (XAI) to examine the structural and temporal drivers of IIM across 25 countries, based on data from the previous two decades. Two complementary models were developed: a snapshot model based on contemporaneous socioeconomic indicators and a persistence-aware model incorporating lagged effects of predictors. Analyses were conducted across both income-level categories and geographic sub-regions to uncover context-specific patterns. While both models performed at acceptable levels in distinguishing immediate and enduring effects, persistence-aware models consistently outperformed snapshot models, thereby reframing IIM as a temporally sustained phenomenon. Feature importance, interpreted through SHapley Additive exPlanations (SHAP), highlighted the varying impacts of unemployment, inflation, corruption, and economic growth across income tiers and sub-regions. The results demonstrate that a combination of short-term shocks and the long-standing effects of governance and social factors drives IIM in the Americas. These findings underscore the need for dual-horizon policy approaches that address both immediate crises and structural root causes.
  • Thumbnail Image
    PublicationOpen Access
    Carbon emissions across income groups: exploring the role of trade, energy use, and economic growth
    (Springer Nature, 2025-07-10) Dharmapriya, N; Gunawardena, V; Methmini, D; Jayathilaka, R; Rathnayake, N
    This study investigates the interplay of trade openness, energy consumption, and gross domestic product (GDP) on carbon emissions across different income groups, analysing data from 163 countries from 2000 to 2019. Using panel regression and multiple linear regression techniques, the findings highlight energy consumption as the principal driver of carbon emissions across all income categories, underscoring its central role in environmental sustainability challenges. High-income countries, despite technological advancements, continue to exhibit substantial emissions due to their reliance on fossil fuels. In contrast low-income nations face difficulties in balancing economic growth with environmental sustainability, often lacking the resources to adopt cleaner energy alternatives. The study emphasises the urgent need for income-specific strategies to reduce carbon emissions, advocating for the widespread adoption of renewable energy sources and tailored policy interventions. These insights align with the United Nations Sustainable Development Goals, particularly SDG 13 (Climate Action), by promoting the integration of economic development with environmental stewardship. By addressing disparities across income levels, this research offers actionable recommendations for policymakers to support equitable and sustainable practices globally.