In contrast to domestic trade, international trade inherently requires more intensive use of skilled labour with expertise in areas such as international business, language skills, and maritime insurance, and the transoceanic transportation is more capital intensive than the local transportation. In the presence of such bias in factor demands, globalization caused by an improvement in the export technologies can lead to a worldwide increase in the relative prices of the factors used intensively in international trade. Furthermore, a worldwide increase in the factors used intensively in international trade can lead to globalization. To capture these effects, we develop a flexible approach to model costly international trade, which includes the standard iceberg approach as a special case. More specifically, we extend the Ricardian model of trade with a continuum of goods by introducing multiple factors of production and by making technologies of supplying goods depend on whether the destination is home or abroad. If the technologies of supplying the same good to the two destinations differ only in total factor productivity, the model becomes isomorphic to the Ricardian model with the iceberg cost. By allowing the two technologies to differ in the factor intensities, our approach enables us to examine the links between factor endowments, factor prices, and globalization that cannot be captured by the iceberg approach.

We develop a simple macroeconomic model of credit market imperfections with heterogeneous investment projects. The projects differ in productivity, the investment requirement, and the severity of agency problems behind the borrowing constraints. A movement in borrower net worth shifts the composition of the credit between projects with different productivity levels, thereby causing endogenous investment-specific technological change. Furthermore, such endogenous technological change in turn affects borrower net worth. These composition effects could give rise to credit traps, credit collapse, leapfrogging, credit cycles, and growth miracles in the dynamics of the aggregate investment and borrower net worth.