Innovation in Eastern Europe : a case study of Czech Republic

In this study we evaluate innovative performance of the economies of Central and Eastern Europe (CEE) based on the available statistics of innovation processes. We compare such country-level indicators as educational levels, investments in R&D, FDI, trade and licensing flows, patents and scientific articles, and find that the most developed CEE economies are also the most innovative. At the same time, as supported by the results of the interviews in Czech Republic, one of the top performers in the CEE region, its economy is facing a number of challenges that are similar to other middle-income countries around the world. We suggest addressing these challenges from the prospective of the Middle Income Trap, when a middle-income economy to sustain growth must learn to compete with advanced economies in high-skill innovation. Development of effective innovation policy should be a priority for the CEE countries to escape from the middle income trap.

Effectiveness of the monetary policy framework in present-day India : have financial variables functioned as useful policy indicators

In April 1998, the RBI, the Indian central bank, formally announced a shift in its policy framework from monetary targeting to a multiple indicator approach, and since then, under this framework, the bank has considered a range of economic and financial variables as policy indicators for drawing policy perspectives. This paper aims to examine the effectiveness of this current policy framework in India by analyzing the causal relationships of each indicator variable on the objective variables. The results reveal that, except for bank credit, all indicator variables considered in this study have a causal relationship with at least either output or price level, suggesting that most preannounced economic and financial variables have served as useful policy indicators under the multiple indicator approach.

Does trade liberalization boost quality upgrading? : evidence from Indonesian plant-product-level data

In this study, we examine the effects of tariff reduction on firms' quality upgrading by employing an Indonesian plant-product-level panel dataset matched with a plant-level dataset. We explore the effects of lower output and input tariffs separately, by focusing on the apparel industry. By estimating the Berry-type demand function, we derive product-quality indicators based on the Khandelwal (Review of Economic Studies, 2010) methodology, which enables us to isolate quality upgrading from changes in prices. Our findings are as follows. First, a reduction in output tariffs does not affect product quality upgrading. Second, a reduction in input tariffs boosts quality upgrading in general. In particular, this impact is greater for import firms, which is consistent with the fact that the source of the boost is the import of high-quality foreign inputs.