The 2013 Import and Export Market for Textile Wadding, Wicks, and Fabrics for Use in Machinery and Plants in Philippines

On the demand side, exporters and strategic planners focusing on textile wadding, wicks, and fabrics for use in machinery and plants in Philippines face a number of questions. Which countries are supplying textile wadding, wicks, and fabrics for use in machinery and plants to Philippines? How important is Philippines compared to others in terms of the entire global and regional market? How much do the imports of textile wadding, wicks, and fabrics for use in machinery and plants vary from one country of origin to another in Philippines? On the supply side, Philippines also exports textile wadding, wicks, and fabrics for use in machinery and plants. Which countries receive the most exports from Philippines? 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 textile wadding, wicks, and fabrics for use in machinery and plants in Philippines. 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 Nor can managers be contented with out-of-date statistics which appear several years after the fact.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 textile wadding, wicks, and fabrics for use in machinery and plants for those countries serving Philippines via exports, or supplying from Philippines 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 Philippines fits into the world market for imported and exported textile wadding, wicks, and fabrics for use in machinery and plants. The total level of imports and exports on a worldwide basis, and those for Philippines in particular, is estimated using a model