Rethinking the import-productivity nexus for Italian manufacturing

We provide evidence on the firm level productivity effects of imports of intermediates. By exploiting a large panel of Italian manufacturing firms, we are able to separately explore the role of importing from high and low income countries. Importing does not permanently affect the firm productivity growth. This finding holds both when we test for the import entry by means of Propensity Score Matching techniques and when we analyse the import intensity within a dynamic panel data model framework. On the contrary, we confirm the existence of self-selection into importing. Also, our evidence supports the learning-by-exporting effects in Italian manufacturing and we prove that this result is robust to the control of firm import activity.     

Finance, governments, and trade

We study how financial transactions may respond to exogenous variation in trade opportunities not only directly, but also through policy channels. In more open economies, governments may find it more difficult to fund and enforce public policies that substitute private financial transactions, and more appealing to deregulate financial markets. We propose a simple theoretical model of such policy-mediated relationships between trade and financial development. Empirically, we document in a country panel dataset that, before the 2007–2008 crisis, financial market volumes were robustly and negatively related to the share of government consumption in GDP in regressions that also include indicators of financial regulation and trade openness, and we seek support for a causal interpretation of this result in instrumental variable specifications.     

Site Selection Using Hybrid Analytical Hierarchy Processing: Evidence from Taiwanese Electronics Assembly Firms in China

An upswing in labor costs and currency appreciation during the 1980s caused Asian countries and economic entities such as Hong Kong, Japan, and Taiwan to search for new manufacturing sites to obtain lower manufacturing costs. China, with its huge, rapidly growing market, was one of the main options for these Asian economic dynamos. How to find an appropriate method to evaluate an optimum place for a factory setup in China is essential to an enterprise. Analytical hierarchy processing (AHP) is a method to solve complex multicriteria decision problems. However, to make decisions based only on AHP results is not sufficiently reliable, especially when the results are too close to be precisely determined. To strengthen AHP analysis, we propose a “hybrid AHP” method. This method computes an error band (EB) of final AHP scores using its 95% Confidence Interval to estimate AHP score error and calculates EB combined with a “bootstrap” to mitigate expert pectoral bias. Based on our methods, our decision rule is “maximized AHP score and minimized EB.” To verify our methods, we took Taiwanese electronic assembly manufacturers selecting manufacturing sites in China as a case study. Our research found that Eastern China has a relatively higher consensus of preference for establishing their manufacturing sites.     

Imports,Exports and the Firm Product Scope: Evidence From Turkey

By exploiting an original firm‐product level dataset for Turkish manufacturing, ‐way trading on firm product scope and innovation in a multiple treatment setting. Our evidence points at the prominent role of exporting, while no effect is found for importing only. Nonetheless, we corroborate existing evidence on the virtuous nexus between the two international activities and add to the literature by showing that joint firm involvement in exporting and importing fosters product innovation and quality upgrading.     

Are corporates' target leverage ratios time-dependent?

This paper extends the stationary-leverage-ratio model to incorporate a time-dependent target leverage ratio. The theoretical hypothesis of the existence of a time-dependent target leverage ratio reflects the movement of a firm's initial target ratio toward a long-term target ratio over time. Using some simple scenarios about the time-dependence of the target leverage ratio, the numerical results show that the incorporation of the hypothesis into the stationary-leverage-ratio model is capable of producing term structures of probabilities of default that are consistent with some empirical findings. The results provide some evidences to support the hypothesis.     

Applicability of the market appeal—robusticity matrix: a case study of heritage tourism

Hong Kong is a city where contemporary global culture coexists with traditional Chinese heritage. One way of promoting Hong Kong's traditional built heritage is to develop a number of linked sites as a heritage trail. For helping the development of such, this study evaluates the applicability of the market appeal—robusticity matrix on heritage tourism development, by assessing the potential for tourism in the single-surname villages of Hong Kong's New Territories. The study techniques include documentary research, questionnaire survey and interviews. The findings indicate the matrix is effective for enabling the assessment of heritage tourism potential because it simultaneously demonstrates the importance of two major considerations for both tourism industry and heritage managers, namely market appeal—an asset's appeal to tourists, and robusticity—its ability to endure visitation. The shortcomings of the model includes the inappropriateness of the technical term “product design needs” in the market appeal subset and lack of community concerns in the robusticity subset of the matrix.