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This paper examines trade participation and innovation activities and how they are intertwined in the Middle East and North Africa region. While the level of trade participation of firms in the region is similar to other peer economies, innovation rates are particularly low. Many productive firms, especially smaller firms, might not be able to reap the scale and efficiency benefits from trade and innovation activity because of the weak business environment in the region. The paper shows that innovative firms tend to be more productive when they trade, while exporters tend to grow faster (in terms of sales) when they also invest in innovation. In addition, the use of foreign-licensed technology appears to have a key role in innovation, even after controlling for the effects of trade participation and foreign ownership. The paper also finds that traders and innovative firms were more likely to adapt to the COVID-19 crisis and the associated sharp sales shock. Overall, the results confirm the importance of international technology diffusion in the innovation process through access to foreign markets.

We analyse how the COVID-19 crisis impacted firms' employment levels and digitalisation efforts differently depending on their pre-crisis productivity, digitalisation and growth performance. We match the EIB Investment Survey with firm-level financial statements from the ORBIS database for 27 EU Member States and the United Kingdom. Following the sales decline during the crisis, we show that: (1) Higher productivity firms are less prone to reduce the number of employees both in the short and in the long term; (2) High-growth enterprises are also less prone to reduce the number of employees in the long term; (3) Firms in highly digitalised sectors are less likely to reduce the number of employees; (4) Firms are more likely to increase their use of digital technologies, especially those that were already more digitalised before the crisis.

The effect of the COVID shock on European economies has been severe and also unequal, with some firms being affected much more strongly than others. To improve the effectiveness of policy interventions, policymakers need to understand which types of vulnerable firms have been suddenly pushed into dire circumstances. We seek to fill this important gap in our knowledge by providing evidence from the EIBIS (European Investment Bank Investment Survey, 2016-2020) on how the COVID shock has affected the investment activity and investment-related framework conditions of vulnerable firms. While data on actual investment activity post-COVID is not yet available to us, we focus on investment expectations. We exploit the fact that the same questions relating to investment expectations have been asked in several previous survey waves, which enables a difference-indifferences approach to investigate how investment expectations might have suddenly changed, for vulnerable groups of firms, immediately after the onset of the COVID crisis. We focus on 4 groups of vulnerable firms: High-Growth Enterprises (HGEs), young and small firms, R&D investors and nonsubsidiary firms. R&D investors are more likely to be pessimistic about investment plans as a consequence of the COVID shock, and (similarly) HGEs are less likely to be optimistic about investment plans. R&D investors are less likely to be optimistic about the availability of internal finance, while HGEs and R&D investors are more likely to be pessimistic about the availability of external finance. Subsidiary firms, interestingly, are more likely to report a decrease in expected investment, although this could be part of a conservative group-level strategy and coordinated group-level reduction in investment, however that is not caused by any detectable lack of access to (internal or external) finance. Event study graphs generally confirm our regression results.

This paper explores the relationship between new digital technologies, internationalisation activity and its impact on High Growth Enterprises (HGEs), using the EIB Group Survey of Investment and Investment Finance and ORBIS data for 27 EU Member States and the United Kingdom. After controlling for sample selection bias, our results suggest that being a HGE is positively associated with the probability that a firm conducts international activities, particularly FDI. Conversely, the internationalisation process seems to trigger strong subsequent firm-growth for FDI. Furthermore, we show evidence on the positive association between firms that are internationalised and those adopting new digital technologies. The adoption of new digital technologies is indirectly related to the status of being a HGE via internationalisation activity in the current period. Our results highlight the complex influence of exporting and FDI on the capacity to become a HGE and the role of new digital technologies in this process.

This paper proposes a simple method measuring spatial robustness of estimated coefficients and considers the role of administrative districts and regions' size. The procedure, dubbed "Grid and Shake", offers a solution for a practical empirical issue, when one compares a variables of interest across spatially aggregated units, such as regions. It may, for instance, be applied to investigate competition, agglomeration, spillover effects. The method offers to (i) have carry out estimations at various levels of aggregation and compare evidence, (ii) treat uneven and non-random distribution of administrative unit size, (iii) have the ability to compare results on administrative and artificial units, and (iv) be able to gouge statistical significance of differences. To illustrate the method, we use Hungarian data and compare estimates of agglomeration externalities at various levels of aggregation. We find that differences among estimated elasticities found at various levels of aggregation are broadly in the same range as those found in the literature employing various estimation method. Hence, the method of spatial aggregation seems to be of equal importance to modeling and econometric specification of the estimation.

Drawing from confidential firm-level balance sheets in 11 European countries, the paper presents a novel sectoral database of comparable productivity indicators built by members of the Competitiveness Research Network (CompNet) using a newly developed research infrastructure. Beyond aggregate information available from industry statistics of Eurostat or EU KLEMS, the paper provides information on the distribution of firms across several dimensions related to competitiveness, e.g. productivity and size. The database comprises so far 11 countries, with information for 58 sectors over the period 1995-2011. The paper documents the development of the new research infrastructure, describes the database, and shows some preliminary results. Among them, it shows that there is large heterogeneity in terms of firm productivity or size within narrowly defined industries in all countries. Productivity, and above all, size distribution are very skewed across countries, with a thick left-tail of low productive firms. Moreover, firms at both ends of the distribution show very different dynamics in terms of productivity and unit labour costs. Within-sector heterogeneity and productivity dispersion are positively correlated to aggregate productivity given the possibility of reallocating resources from less to more productive firms. To this extent, we show how allocative efficiency varies across countries, and more interestingly, over different periods of time. Finally, we apply the new database to illustrate the importance of productivity dispersion to explain aggregate trade results. JEL Classification: L11, L25, D24, O4, O57

This paper investigates currency mismatch in the Hungarian corporate sector. Using a novel dataset on non-financial firms we first identify firms with mismatch, measure their weight in the economy and show their main characteristics. We then a analyze the performance of firms during the crisis. We find that a significant share of firms with FX debt had no natural hedge, i.e. no FX revenues from exports. The firms exposed to currency mismatch had a sizeable share both in real aggregates and on the loan market before the crisis. Firms with currency mismatch tended to be larger and more indebted, which suggests that FX borrowing might have eased their liquidity constraint before the crisis. During the crisis balance sheet effects were likely to be triggered by the large depreciations. Firms with FX loans had a larger fall in investment, and were more likely to go bankrupt. Their deteriorating performance and the reassessment of holding FX debt both by banks and firms led to major changes on the loan market. FX lending became less popular, and firms with mismatch were less likely to get new loans.

This paper relates firm level input changes and productivity to aggregate growth of the Hungarian economy for the period 1992 to 2008. The decomposition includes manufacturing, services, agriculture and construction. Results suggest that the role of firm productivity in growth was not stable over time. It played important role in early transition and in the pre-crisis period. Inputs show an initially positive then, after 2001, decreasing contribution to growth. At the same time input reallocation shows a decreasing trend in Hungary.

Firms may benefit from proximity to each other due to the existence of several externalities. The productivity premia of firms located in agglomerated regions an be attributed to savings and gains from external economies. However, the capacity to absorb information may depend on activities of the firm, such as involvement in international trade. Importers, exporters and two-way traders are likely to employ a different bundle of resources and be organised differently so that they would appreciate inputs and information from other firms in a different fashion and intensity. Getting a better understanding of such external economies by looking at various types of firms is the focus of present paper. Using Hungarian manufacturing data from 1992-2003, we confirm that firms perform better in agglomerated areas and show that traders gain more in terms of productivity than non-traders when agglomeration rises. Firms that are stable participants of international trade gain 16 % in terms of total factor productivity growth as agglomeration doubles while non-traders may not benefit from agglomeration at all. Results also suggest that traders' productivity premium is most apparent in urbanised economies.

This paper provides a detailed description of Hungarian trade data and key patters drawn at the firm and product level. The IEHAS-CEFiG Hungary dataset is an almost universal panel of balance sheet information (1992-2006) merged with firmproductcountry level customs data (1992-2003) taken until the 2004 EU accession. In the Bernard et al. (2007) tradition, statistics describe the prevalence of trading activity, typology of firms by internationalisation, concentration of trade volume within and across sectors as well as geographical features of activities. The aim of this paper is both to offer background statistics to existing studies and to stimulate future research on firms and trade by offering a great deal of descriptive statistics. After describing datasets, the prevalence of trading activity across sectors, concentration of trading volume across and within sectors, spatial distribution on trade and principal trading partners are described. Stylised facts show that trading activity is heavily concentrated, both exporters and importers show better performance than non-traders, and multi-product and multi-county firms are responsible for the bulk of trade volume.