Social Safety Nets in India: Effectiveness, Nutritional Impact and Political Economy. India is, potentially, one of Australia's most significant trading and strategic partners. As India, a democratic country with low per capita income deepens its economic reforms programs, their success depends critically upon domestic political support which would require that the policies adopted make a significant dent on poverty. The proposed research will examine the impact of two of the most significant p ....Social Safety Nets in India: Effectiveness, Nutritional Impact and Political Economy. India is, potentially, one of Australia's most significant trading and strategic partners. As India, a democratic country with low per capita income deepens its economic reforms programs, their success depends critically upon domestic political support which would require that the policies adopted make a significant dent on poverty. The proposed research will examine the impact of two of the most significant policy initiatives for poverty alleviation and thus provide critical analyses of how a democratic polity should address poverty. The project's results will also have significant implications for the design of AusAID's recommended anti-poverty interventions in other developing countries. Read moreRead less
The role of branding and international trademarks in global value chains. The role of branding and international trademarks in global value chains. This project will examine the role of brands and trademarks on global value chains. Trademarks can help firms de-risk, scale up and add value to their offerings. This project will develop a machine learning algorithm to identify international trademark families and extend a novel global trademark family dataset. It will use the dataset to analyse how ....The role of branding and international trademarks in global value chains. The role of branding and international trademarks in global value chains. This project will examine the role of brands and trademarks on global value chains. Trademarks can help firms de-risk, scale up and add value to their offerings. This project will develop a machine learning algorithm to identify international trademark families and extend a novel global trademark family dataset. It will use the dataset to analyse how international trademarks are used and mis-used; how they enable vertical dis-integration and international dispersion of manufacturing production (two central features of global value chains); and how they affect businesses’ ability to enter and compete in global markets. This research should help Australian businesses extend their international reach and policy makers increase domestic gains from global value chains.Read moreRead less
Innovative financing mechanisms for higher education. Advances in statistical modelling are used to highlight the potential to apply creatively income contingent loans for the expansion of Australian and international higher education. Alternative student loan mechanisms for income support and tuition are critically analysed, and new arrangements are proposed for equitable reforms in higher education.
Understanding online attention and user-generated content creation: An information consumption and production perspective. There is a strong practical need for methods for understanding and measuring online behaviour. In this project, economic index number theory will be used to study information consumption, leading to new ways of measuring online attention and influence. Techniques for studying scaling relationships in the physical world will be used to study information production, leading to ....Understanding online attention and user-generated content creation: An information consumption and production perspective. There is a strong practical need for methods for understanding and measuring online behaviour. In this project, economic index number theory will be used to study information consumption, leading to new ways of measuring online attention and influence. Techniques for studying scaling relationships in the physical world will be used to study information production, leading to new insights into the efficiency of production of user-generated content. The project will contribute to understanding how social media such as Twitter contribute to social unrest and affect consumer decisions, and how distributed online collaboration can produce economically-valuable information resources such as Wikipedia.Read moreRead less