The 2016 Import and Export Market for Labels, Badges, and Similar Articles of Textile Materials in the United States

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 Nor can managers be contented with out-of-date statistics which appear several years after the fact.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