The impacts of trade liberalisation in South Asia on poverty and income inequality in Sri Lanka are examined in this paper using a multi-country computable general equilibrium model. A non-parametric extended representative household-agent approach employing micro-household survey data is used to estimate the income inequality and poverty effects. Two trade liberalisation policy simulations are investigated: (1) the formation of a South Asian Free Trade Agreement and (2) unilateral trade liberalisation in South Asia. The results indicate that overall income inequality and income inequality among different household groups in the urban, rural and estate sectors in Sri Lanka would fall under both trade liberalisation policies. Foster, Greer and Thorbecke indices reveal that poverty would also decline in all three sectors. In both instances, unilateral trade liberalisation delivers the greatest reductions.

Altered metabolic parameters in association with antipsychotic medication use in diabetes Wake, D. J.; Broughton, P.; Perera, S. M.; MacIntyre, D. J.; Leese, G. P. Published in: Psychoneuroendocrinology DOI:10.1016/j.psyneuen.2016.01.022 Publication date: 2016 Document Version Peer reviewed version Link to publication in Discovery Research PortalCitation for published version (APA): Wake, D. J., Broughton, P., Perera, S. M., MacIntyre, D. J., & Leese, G. P. (2016). Altered metabolic parameters in association with antipsychotic medication use in diabetes: A population based case-control study. Psychoneuroendocrinology, 66, 214-220. https://doi.org/10.1016/j.psyneuen.2016.01.022 General rightsCopyright and moral rights for the publications made accessible in Discovery Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from Discovery Research Portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain.• You may freely distribute the URL identifying the publication in the public portal. Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Tables and Figures: 2 Tables and 2 Figures ABSTRACT AimsThis study assess differences in clinical variables in diabetes patients prescribed antipsychotic medication and determines relative schizophrenia prevalence in the diabetes population. MethodsThis population-based case-control study utilising Scotland's national diabetes registry (SCIdiabetes) and linked psychiatric hospital discharge data (SMR04) established diabetes phenotypes in a patient cohort prescribed long term antipsychotic medication (n=2362)(cases). Cases were matched 1:10 to diabetes patients not prescribed antipsychotic medication (controls) for BMI, gender; diabetes type; birth year; diagnosis date; smoking status. Sub-groups with defined schizophrenia (n=196) or bipolar disorder (n= 190) were further examined. Schizophrenia prevalence in the diabetes versus general population was compared. ResultsDuring follow up, antipsychotic prescription was associated with lower HbA1c (55.1 (95% CI 54.5-55.8) or 7.2 (95% CI 7.1-7.3)% vs 58.2 (58.0-58.4) mmol or 7.5 (95% CI 7.5-7.5)% p<0.001) lower serum total cholesterol, 4.2 (4.1-4.2) vs 4.3 (4.2-4.3) mmol/ l, p<0.001), lower blood pressure (systolic 130 (130.17-131.29) vs 134 (134.3-134.7) mmHg, p<0.001), higher prescription of oral hypoglycaemic medication (42% (40-45) vs 38% (37-39) p<0.001), similar statin prescriptions (85% (81-89) vs 85% (84-86), p=.55), and lower retinopathy rates (28% (25.6-30.5) vs 32% (31.5-33.1), p<0.001). HbA1c at diagnosis was similar (p=.27).Schizophrenia prevalence was higher in the diabetes versus gene...

Hyperlipidaemia and macrovascular disease is common in non-insulin-dependent diabetic patients in Sri Lanka and accounts for significant morbidity.

This study employed the gravity model of trade to examine the effects of non-tariff measures (NTMs) on Sri Lankan tea exports. The study used a panel data set including bilateral exports retrieved from Sri Lanka and its ten major tea export destinations from 2010 to 2019. The frequency of NTMs on Sri Lankan value of tea exports shows an increasing trend. The gravity model estimations show that except for tariff, the coefficients of all other gravity variables are statistically significant and aligned with theoretical justifications. The magnitude of the gross domestic product of Sri Lanka and importer countries and the presence of colonial links positively act on tea exports from Sri Lanka, while the distance between capital cities of trading partners and NTMs lower the exports. More specifically, imposing an additional NTM diminishes the value of tea exports by 48%. Furthermore, the NTMs have a 66% tariff equivalent effect. Hence, Sri Lanka's best prospects for profiting from tea exports depend on altering NTM policies, which are just as significant as other trade barriers.