The main goal of this paper is to empirically investigate the regional dimension of productivity determinants for 24 regions of Ukraine using micro-level dataset for individual firms in 2013. The novelty of our analysis is the comparison of the determinants of productivity in the manufacturing and service sectors. We estimate both pooled regressions for all regions and separate regressions for particular regions. The estimation results obtained for the entire country demonstrate that the majority of our explanatory variables are statistically significant for the manufacturing sector and all are statistically significant for the service sector although at different levels of significance. At the same time, the estimation results obtained separately for each region show a large degree of heterogeneity across the regions and sectors and the lack of scale economies at the firm-level.
In this paper, we study the export performance determinants of firms in selected MENA countries, both jointly and separately, as well as compare them with the performance of firms from countries in Central and Eastern Europe (CEE). The analysis is based on information about individual firms found in the European Bank for Reconstruction and Development (EBRD) and World Bank Business Environment and Enterprise Performance Survey (BEEPS) V database, covering the period 2011-2014. We estimate the probability of exports, while controlling for country- and sector-specific effects, using the probit model. We find that, in both groups of countries, similar variables affect firm export performance. Our empirical results obtained for Middle East and North Africa (MENA) and CEE countries indicate that the probability of exporting is positively related to the level of productivity, firm size, spending on research and development (R&D), the share of university graduates in productive employment and the internationalization of firms. State ownership and the perception of corruption by firms are mostly not statistically significant. The results obtained for the two groups of countries are statistically not very different, but enough to have some policy implications, while results for particular countries and subgroups of countries reveal a large degree of heterogeneity.
This paper examines the determinants of total factor productivity (TFP) of Ukrainian firms in manufacturing and services, using micro-level data for the years 2005 and 2013. We first estimate regressions for the pooled dataset for the manufacturing and service sectors jointly, and then separately for each sector. Our empirical results show a positive link between the total factor productivity, intangible assets, capital intensity, firm size, competition in the industry, ownership status, and firm internationalization (exports and imports). In addition, we find that the determinants of productivity differ among the sectors and years of our sample.
This paper studies the determinants of the total factor productivity (TFP) for Ukrainian firms in the manufacturing sector across macro-regions using recent micro-level datasets for 2013. Our empirical results show some degree of heterogeneity across Ukrainian macro-regions; in particular, the link between the total factor productivity, firm size, imports and the level of competition seems to be valid for all macro regions. However, the effects of private ownership status, capital intensity and exports seems to be region specific. In addition, we found no relationship between firm productivity and foreign ownership for any of the regions.