The 2016 Import and Export Market for Calendering or Other Rolling Machines Excluding Those for Metal or Glass in India

On the demand side, exporters and strategic planners focusing on calendering or other rolling machines excluding those for metal or glass in India face a number of questions. Which countries are supplying calendering or other rolling machines excluding those for metal or glass to India? How important is India compared to others in terms of the entire global and regional market? How much do the imports of calendering or other rolling machines excluding those for metal or glass vary from one country of origin to another in India? On the supply side, India also exports calendering or other rolling machines excluding those for metal or glass. Which countries receive the most exports from India? How are these exports concentrated across buyers? What is the value of these exports and which countries are the largest buyers? This report was created for strategic planners, international marketing executives and import/export managers who are concerned with the market for calendering or other rolling machines excluding those for metal or glass in India. With the globalization of this market, managers can no longer be contented with a local view. Nor can managers be contented with out-of-date statistics which appear several years after the fact. I have developed a methodology, based on macroeconomic and trade models, to estimate the market for calendering or other rolling machines excluding those for metal or glass for those countries serving India via exports, or supplying from India via imports. It does so for the current year based on a variety of key historical indicators and econometric models. In what follows, Chapter 2 begins by summarizing where India fits into the world market for imported and exported calendering or other rolling machines excluding those for metal or glass. The total level of imports and exports on a worldwide basis, and those for India in particular, is estimated using a model which aggregates across over