The Social Welfare Function (SWF) is a decision rule to rank alternative social states in a complete fashion in terms of social welfare. This paper questions the philosophy of Paretian Principle as a desirable property of the SWF. It shows that it is possible to generalize the widely used Sen...

It is easy to demonstrate that Sen's SWF satisfies Pareto criteria. This paper questions the philosophy of this concept and shows that it is possible to formulate a generalized SWF, which can be non-Paretian under special circumstances. This paper also demonstrates a method of decomposition of...

This paper examines the changes in social welfare in Singapore using Labour Force Survey data. To study the changes and dominance, both ordinal and cardinal measures are used. By Lorenz Dominance social welfare in Singapore during 1999 is less than in 1991 while unambiguous conclusion cannot be...

The relation between city size and wage inequality is well established for Western countries. This paper finds that city size–wage premium exists across Chinese cities to a lower extent than the Western world. Further, using a simplified model on the Chinese Household Income Project survey...

This paper examines the social impact of the recent Asian Economic crisis, drawing on the results of studies in two countries: Singapore and Thailand. The economic crisis had interrupted three decades of steady growth that had been accompanied by remarkable progress in poverty reduction and a...

The debate that rapid globalization over the past decades is a leading cause of increased income inequality within developed economies has been far from conclusive, including Dorn et al. (2018). We depart from existing studies by extending an earlier empirical framework by Gaston and Rajaguru...

With a growing old‐age population, ensuring income security for the elderly is becoming an increasingly important element of public policy worldwide. The World Bank report proposed a three‐tier system to avert old‐age crisis, which was extended into a five‐tier system by Holzmann et al....