Research Publications

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/4194

This main community comprises five sub-communities, each representing the academic contribution made by SLIIT-affiliated personnel.

Browse

Filters

2023 - 20263

Advanced Search

Filter by

Settings

Has files: YesSubject: search.filters.subject.GDP

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    PublicationOpen Access
    Sustainability indicators in a globalised poultry sector: production, consumption, trade openness, and GDP across 126 countries
    (Elsevier B.V., 2026-02-12) Silva, Y; Perera, N; Mendis, K; Susan, H; Jayathilaka, R
    The sustainability of the meat industry relies on consistent demand and the desire for meat. In recent years, chicken was produced around 104.2 million metric tons and expected to increase by 2% in the upcoming years with a record of 109.6 million tons worldwide. Also, global chicken meat export will increase by 3% with a record of around 14.7 million tons. Therefore, this research focuses on investigating the causal relationships that have a significant impact on chicken production, considering independent variables as chicken consumption, trade openness, and GDP. This study is conducted across several income groups, encompassing 126 countries, for a 30-year period from 1993 to 2022. To strengthen the study, the demand theory and international trade theory were utilised. This study employs multiple methodologies, including panel Granger analysis, cross-country Granger causality analysis to identify the direction of causality, and thereafter the Wavelet coherence analysis to determine the time variance and the nature of the coherence between the variables. According to the study, the results have revealed unidirectional relationships between production and trade openness, chicken meat consumption, and GDP. Accordingly, policy suggestions are provided for farmers, policymakers, relevant organisations, and legislators to make an impact on the chicken meat industry by enhancing production, optimising operations, and maintaining high quality to improve nutritional value. All the implementation suggestions are given to support the Sustainable Development Goals, established by the United Nations.
  • Thumbnail Image
    PublicationEmbargo
    Macroeconomic determinants of child mortality in low and lower-middle-income nations
    (Emerald Publishing, 2025-05-18) Samarawickrama, P.A; Fernando, G; Bernadeen, R; Jayasuriya, N; Pathirana, U
    Purpose: Child mortality remains a major problem in the world, especially for children under five, as many deaths are reported each year. Disproportionately high death rates are seen in low- and lower-middle-income nations. This study seeks to examine the impact of macroeconomic factors on child mortality in low- and lower-middle-income countries to formulate policies for those income levels to achieve SDG 3.2 by 2030. Design/methodology/approach: The study uses panel regression analysis to investigate the impact of macroeconomic factors including inflation, labor force participation female, Current healthcare expenditure and GDP per capita income on child mortality within the two income groups, covering 18 low-income and 41 lower-middle-income nations from the year 2000 to 2022. Findings: The findings of the study indicated that in low-income countries women’s employment positively and significantly affects child mortality, while GDP per capita and current health expenditure negatively and significantly affect child mortality. In lower middle-income countries, inflation and GDP per capita negatively and significantly affect child mortality. This demonstrates the significance of economic stability, health investments and modifications in labor force participation female in mitigating child mortality in low and middle-income countries while offering critical insights for achieving the Sustainable Development Goals (SDG) related to infant mortality reduction by 2030. Originality/value: Although previous research has investigated child mortality, there is a lack of comprehensive research that has examined the combined impact of inflation, labor force participation rate female, current healthcare expenditure and GDP per capita in these countries. This study offers new empirical evidence regarding the influence of macroeconomic conditions on trends in child mortality by implementing a rigorous methodological approach.
  • Thumbnail Image
    PublicationOpen Access
    Model Comparison to Forecast Gross Domestic Product (GDP) in China
    (Faculty of Humanities and Sciences, SLIIT, 2023-11-01) Koswaththa, N.B.K.S.M.; Gaganathara, G.A.G.D.; Fernando, A.S.M.S; Dissanayake, M.D.T.G.; Guruge, M. L.
    Gross Domestic Product (GDP) is an accurate indicator to measure the size of the economic performance of a country and its growth rate. This study focuses on finding a suitable model to forecast GDP in China, which is one of the world’s largest and most rapidly developing economies. A simple linear regression model with AR(1) error structure and Autoregressive Integrated Moving Average (ARIMA) model were developed and compared for the purpose. A secondary data set which includes GDP in China from 1952 to 2020 was used for this study and the sample size was 69. Residual diagnostics tests were conducted to check the assumptions and model adequacy of each model. It was found that out of the fitted models, ARIMA (1,1,1) is the most appropriate model to forecast GDP in China as it gave lower MAE and RMSE compared to fitted simple linear regression model with AR(1) error structure. Model comparison was done using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The predicted values for 2023, 2024 and 2025 are 1436349, 1447149 and 1457950 respectively. E-views 8.0 and Minitab software were used to analyze the data.