Since the 1970s, the Middle East region has dominated the foreign employment market of Sri Lanka. However, Sri Lankan migrants have been paying more attention on moving to South-East Asian and European countries as noted in recent decades. In Sri Lanka, there is a substantial lacuna on the macroeconomic studies related to migration although international migration has a significant impact on economic indicators. As a contribution to reduce this gap, this study examines the macroeconomic determinants of international labor migration from Sri Lanka to South-east Asian and European countries using the gravity model of migration. As, in presence of heteroscedasticity, linear estimators result in inconsistency in estimated coefficients unless we use robust standard errors, Poisson Pseudo Maximum Likelihood estimation technique was used to find the determinants using panel data over the period of 2007 to 2015. Destination-year fixed effects were used to capture unobserved time-variant and time-invariant variables as well as to account for the multilateral resistance. Results reveal that GDP per capita and unemployment rate of Sri Lanka are the push factors which force people to move from Sri Lanka while the destination countries' population and dependency ratio are the pull factors which attract migrants towards the destination. Moreover, the population of Sri Lanka and poverty headcount ratio were also found as significant determinants of international migration.

By the end of the last millennium, “sustainable development” was the most widely discussed topic among scholars, policy makers and diplomats. Meanwhile, over the past decades, many Asian economies have achieved striking levels of economic growth for the betterment of the human life. However, it has also been accompanied by substantial environmental degradation. The purpose of this paper is to provide a brief overview of the current trends in sustainable development in Asia through indicating the current position of 44 Asian countries with respect to each sustainable dimension, by mapping the countries in order to show spatially where they stand in sustainable development and by statistically finding the existence of an association in each sustainability criterion. For this study secondary data were utilized and those were extracted from Sustainability Society Index (SSI). The sixth edition, SSI-2016 was used on this behalf. Data were descriptively analyzed using Minitab 17 and Excel while the required maps were generated using Arc Map 10.1 Geographic Information System (GIS) by ESRI. The association among the three dimensions, Human, Environmental and Economic well-being, was found out using Pearson Correlation. From the analysis we could find that there is no association between environmental well-being and human well-being Nevertheless, there is an association between the economic well-being and the human well-being and the same was resulted for the economic and environmental well-being.

Aims: To account the synthesis of carbon sequestration, carbon emissions, and net carbon flux with respect to an agricultural higher education institute in a tropical region. Place and Duration of Study: Faculty of Agriculture, Rajarata University of Sri Lanka, between May 2019 and August 2019. Methodology: The onsite carbon flux estimated for emissions and fixations by considering the Faculty of Agriculture (FoA) and the farm premises as a closed system. Net carbon flux is the difference between CO2 sequestered and the total CO2 emissions. The carbon flux was calculated as Δ CO2 = ET +RH + EF- ST. Where; ET is CO2 emission from vehicles, RH is CO2 emission from human respiration, EF is CO2 emission from farm operations and ST is sequestered carbon in trees and turfs. As the carbon sinks; all palm trees, turf and large trees were used. The tillage methods, land-use practices, crop management practices in the farm were considered as carbon sources. And also, the respiration of faculty staff and students and transportation within the faculty were considered as sources of carbon. All the measurements in data collection, estimations of carbon storage and emissions were estimated as per the available methods and equations used in similar studies. Results: The total CO2 equivalent was 771.82 Mg. The total CO2 emission was 164.9 Mg. Therefore, the Net carbon flux was found as 606.92 Mg for the faculty in 2019. Conclusion: The faculty is a green one which has a positive net carbon flux. The methodology used in the study can be applied for assessment of carbon stock in other educational institutes in Sri Lankan context with special reference to agricultural education.