Carbon pricing and its impacts on the productivity growth of Australian industries. This project seeks to investigate the effects of carbon pricing on the productivity of Australian industries. It will provide important insights into the issues of productivity growth and technical efficiency for Australian industries following the imposition of a price on carbon, implemented either through a carbon tax or a carbon trading scheme.
Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database ....Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database search, by business analytics companies to reveal new technologies and potential collaborators, and by academic economists to understand how knowledge travels and accumulates.
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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
Small firms' finances: effects on employment, wages and growth. The project aims to estimate how difficulties in accessing financial and credit markets affect small and medium enterprise (SME) decisions about employment, wages, entry and exit. Although the SME sector is Australia’s largest employer, the extent to which financial constraints affect these firms' market performance and their ability to create and sustain employment is unknown. The project plans to use an econometric analysis of fir ....Small firms' finances: effects on employment, wages and growth. The project aims to estimate how difficulties in accessing financial and credit markets affect small and medium enterprise (SME) decisions about employment, wages, entry and exit. Although the SME sector is Australia’s largest employer, the extent to which financial constraints affect these firms' market performance and their ability to create and sustain employment is unknown. The project plans to use an econometric analysis of firm level panel data to fill this gap. The intended outcome is micro-econometric findings tailored to improve targeted labour and financial policy. The expected benefit is to provide input to policy responses that support employment, productivity and wages in volatile market conditions.Read moreRead less