SLIIT Business School Scopus2

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/4899

Browse

Filters

20264

Advanced Search

Filter by

Settings

End date: 2026Subject: search.filters.subject.Trade openness

Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    PublicationOpen Access
    Dynamic linkages between chicken meat production, consumption, income and trade: Evidence from Wavelet coherence and Granger causality in Asia
    (Elsevier Inc., 2026) Silva, Y; Susan, H; Perera, N; Mendis, K; Jayathilaka, R; Dabare, U
    The poultry industry has become one of the fastest-growing agricultural sectors in Asia, driven by rising incomes, and shifting food preferences. Therefore, this study aims to examine the relationship between chicken meat production and key determinants, including chicken meat consumption, gross domestic product, and trade openness, over 30 years (1993-2022) across 28 Asian countries. This study's foundation was based on the theories of consumer demand and international trade. Wavelet coherence and Granger causality analysis were utilised to identify the direction of causality of the variables. The Wavelet results reveal that chicken consumption and GDP become most significant with the production in the Asian continent, while Granger results reveal that most Asian countries showed unidirectional causal flows from trade openness to chicken meat production and from chicken meat production to gross domestic product and consumption. Furthermore, this study provides novel insights that inform policy considerations for policymakers, international and domestic organisations, and governments, aligning with the Sustainable Development Goals established by the United Nations.
  • Thumbnail Image
    PublicationOpen Access
    Global economic uncertainty shocks and macroeconomic dynamics before and after COVID-19: Evidence from Africa and the Americas
    (Elsevier Inc., 2026-04-03) Madurawala, R; Navamohan, P; Gamage, D; Hansika, S; Jayathilaka, R
    Global economic uncertainty has become a central driver of macroeconomic instability, particularly during large-scale crises like the COVID-19 pandemic. This study examines how global uncertainty shocks affect key macroeconomic variables, particularly suicide rates, economic growth, unemployment, and trade openness across 62 countries in Africa, South America, and North America over the period of 2004–2023 as the countries in these regions exhibit the highest uncertainty post-pandemic. Utilising the COVID-19 pandemic as a natural experiment, the analysis distinguishes between pre- and post-pandemic uncertainty-socioeconomic dynamics to assess the bidirectional and cointegrating relationships across regions. The study employs Multiple Linear Regression to capture short-term macroeconomic responses and panel and country-level cointegration techniques to identify long-run relationships between economic uncertainty and macroeconomic variables. Global uncertainty is proxied using the World Uncertainty Index, which captures broad policy, geopolitical, and crisis-related uncertainty affecting expectations and real economic activity. Unlike, existing studies which reveal insights in a particular region or country, the current findings uncover bi-directional relationships in 21 countries post-pandemic, with notable relationships in Algeria, Botswana, Gabon, Guinea, Madagascar, Republic of Congo, Dominican Republic, Mexico, Bolivia, Paraguay. Moreover, long-run cointegration between uncertainty and macroeconomic indicators strengthens in the post-COVID-19 period, particularly in countries of Africa and North America. By analysing countries in the highest uncertainty regions the study contributes to the international macroeconomics literature by providing new evidence on how global uncertainty shocks reshape macroeconomic dynamics across regions with heterogeneous economic structures, offering important implications for macroeconomic stabilisation in an increasingly uncertain global landscape.
  • Thumbnail Image
    PublicationOpen Access
    Economic and environmental factors influencing beef production in high-income countries: Panel evidence
    (Elsevier B.V., 2026-05-06) Susan, H; Mendis, K; Perera, N; Silva, Y; Jayathilaka, R
    As the global population grows, dietary patterns are shifting towards protein-rich foods, with beef production playing a critical role in balancing food security, economic growth, and environmental sustainability. Among income groups, high-income countries exhibit relatively stable, yet elevated levels of beef production compared to others, warranting focused investigation. This study evaluates the causal effects of beef consumption, greenhouse gas emissions, gross domestic product, and trade openness on beef production across 42 high-income countries from 1993 to 2022. A panel regression model with country-specific fixed effects is employed to control for unobserved heterogeneity, as supported by panel specification tests. Additionally, a simple moving average method is used to forecast short-term trends in beef production for 2023–2026. The findings reveal that there is no significant evidence to claim that there is an effect of beef consumption and gross domestic product on beef production. In contrast, trade openness negatively influences production, while greenhouse gas emissions exhibit a positive effect. Forecast results indicate increasing beef production in countries such as Uruguay, New Zealand, Ireland, Australia, Canada, and the United States. The study offers policy-relevant insights for governments and international organisations in aligning livestock production strategies with Sustainable Development Goals.
  • 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.