Brazil-India-US technological learning - machine tools

TCLab's new postdoctoral scholar Jose Ribiero and Smita Srinivas are building a program on how technological learning is manifested in three countries. We know that economic growth and concerns of employment are both linked to technological learning, but we have some hunches about why economic theory doesn't take us far enough in appreciating why the links between industry and agriculture manifest in particular ways.

The study at the first stage is centered on the machine tools sector. Why machine tools? No country yet has industrialized without some capability in it. At the same time, the technological learning embedded in this sector travels unevenly across industry and agriculture and across urban and rural areas. We know that India, Brazil, and the US -all of which have dynamic machine tools capability-see very different outcomes of its use in agriculture and industry. With the help of M.S. candidates Christine Hui Wen and Jessica George, we are building a composite picture of productivity changes and learning prospects using engines and gear boxes in tractors and irrigation systems for instance to understand how sub-sectors of the economy are changing. Many influential studies have shown us how learning can boost both industry and agriculture. We want to study the mechanisms that connect capabilities and products to sectors and regions. It's early days yet in the project

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Very little detail is known about how investments and industrial policy options exercised by the national and regional State within large economies such as Brazil and India are affecting industrial employment and regional socio-economic development. The TCLab “Employment and Regional Inequality (TERI)” project is a comparative analysis of technological and industrial policy choices and their impact on intersectoral and regional employment inequalities observed both in India and Brazil.