SLIIT Business School Scopus2
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Publication Open 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, UThe 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.Publication Open 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, RAs 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.
