<p> </p><p>Since the 1990s and the Swedish membership in the European Union in 1995, the presence of Multinational Enterprises (MNEs) has increased radically in the Swedish economy. The objective with this study is to analyze MNEs effects in different regions within the Swedish manufacturing industry in terms of productivity. Is a region with more MNEs, more pro-ductive than a region with a lower share of MNEs? The theory claims that productivity spillovers of MNEs occurs through three channels namely, via R&D, increased competi-tion and transmission of technology. By observing 81 regions which consists of all 290 municipals in Sweden and taking the average value of productivity and the explanatory variables trough 1997-2004, a cross-sectional analysis is conducted. The results evidently showed signs of productivity spillovers of MNEs on local firms in the manufacturing in-dustry. Findings suggest that (1) a regions with higher share of MNEs did face a higher re-gional productivity. However the spillovers was not successfully absorbed by regions with a industry structure that was not dominated by a the manufacturing industry. (2) Larger re-gions, in terms of population, tend to show a lower productivity level compared to the av-erage levels of the rest of the regions, since their structure was dominated by the service sector. (3) Regions with small technological difference compared to the MNEs, tends to hold the skills and knowledge needed to efficiently exploit the productivity spillovers, hence MNEs influence on regional productivity was greater in these regions than regions with a lower level of technical capability.</p><p> </p>

Since the 1990s and the Swedish membership in the European Union in 1995, the presence of Multinational Enterprises (MNEs) has increased radically in the Swedish economy. The objective with this study is to analyze MNEs effects in different regions within the Swedish manufacturing industry in terms of productivity. Is a region with more MNEs, more pro-ductive than a region with a lower share of MNEs? The theory claims that productivity spillovers of MNEs occurs through three channels namely, via R&amp;D, increased competi-tion and transmission of technology. By observing 81 regions which consists of all 290 municipals in Sweden and taking the average value of productivity and the explanatory variables trough 1997-2004, a cross-sectional analysis is conducted. The results evidently showed signs of productivity spillovers of MNEs on local firms in the manufacturing in-dustry. Findings suggest that (1) a regions with higher share of MNEs did face a higher re-gional productivity. However the spillovers was not successfully absorbed by regions with a industry structure that was not dominated by a the manufacturing industry. (2) Larger re-gions, in terms of population, tend to show a lower productivity level compared to the av-erage levels of the rest of the regions, since their structure was dominated by the service sector. (3) Regions with small technological difference compared to the MNEs, tends to hold the skills and knowledge needed to efficiently exploit the productivity spillovers, hence MNEs influence on regional productivity was greater in these regions than regions with a lower level of technical capability.

This paper employs a spatial Durbin model for analyzing the impact of human capital on regional productivity using for 198 NUTS-2 European regions for the sample period from 1995 to 2004. The study provides evidence for the existence of spatial externalities and interactions of the sort as emphasized by new growth theory. To interpret results meaningfully, we calculate summary measures that account for the simultaneous feedback nature of the underlying model. By sampling from the parameter distribution we present measures of dispersion, revealing that it is relative regional advantages in human capital that matter most for productivity growth. (authors' abstract)

The aim of the Diploma´s work was to explain the concept of corporate and regional productivity and possibility of evaluation. Furthermore to analyze the development of value added on the basis of the specific enterprise data and at the regional level. The theoretical part described the concept of productivity and factors of production. Then followed a description of the business concept of productivity, the possibility of evaluation and rating of regional productivity. In the practical part was characterized selected company. Followed economic data needed to calculate productivity at the enterprise level. The productivity was significantly affected by the economic crisis of 2009. Another part of work was devoted to evaluation of regional productivity. In the last section were compared corporate productivity and regional productivity in the years 2005 - 2011. The comparison showed that labor productivity in enterprise is on a lower level than the sector average. Conversely capital productivity was higher in the enterprise. Another finding was significant annual changes in enterprise productivity compared to the relatively stable of sector development.

This doctoral thesis consists of three essays. In the first essay I investigate the presence of productivity convergence in eight regional pulp and paper industries of U.S. and Canada over the period of 1971-2005. Expectation of productivity convergence in the pulp and paper industries of Canadian provinces and of the states of its southern neighbour is high since they are trading partners with fairly high level of exchanges in both pulp and paper products. Moreover, they share a common production technology that changed very little over the last century. I supplement the North-American regional data with national data for two Nordic countries, Finland and Sweden, which provides a scope to compare the productivity performances of four leading players in global pulp and paper industry. I find evidence in favour of the catch-up hypothesis among the regional pulp and paper industries of U.S. and Canada in my sample. The growth performance is at the advantage of Canadian provinces relative to their U.S. counterparts. However, it is not good enough to surpass the growth rates of this industry in the two Nordic countries. It is well-known that econometric productivity estimation using flexible functional forms often encounter violations of curvature conditions. However, the productivity literature does not provide any guidance on the selection of appropriate functional forms once they satisfy the theoretical regularity conditions. The second chapter of my thesis provides an empirical evidence that imposing local curvature conditions on the flexible functional forms affect total factor productivity (TFP) estimates in addition to the elasticity estimates. Moreover, I use this as a criterion for evaluating the performances of three widely used locally flexible cost functional forms - the translog (TL), the Generalized Leontief (GL), and the Normalized Quadratic (NQ) - in providing TFP estimates. Results suggest that the NQ model performs better than the other two functional forms in providing TFP estimates. The third essay capitalizes on newly available high frequency energy consumption data from commercial buildings in the District of Columbia (DC) to provide novel insights on the realized energy use impacts of energy efficiency standards in commercial buildings. Combining these data with hourly weather data and information on tenancy contract structure I evaluate the impacts of energy standards, contractual structure of utility bill payments, and energy star labeling on account level electricity consumption. Using this unique panel dataset, the analysis takes advantage of detailed building-level characteristics and the heterogeneity in the building age distribution, resulting in buildings constructed before and after mandatory energy standards came into effect. Estimation results suggest that in commercial buildings constructed under a code, electricity consumption is lower by about 0.48 kWh per cooling degree hour. When tenants pay for their own utilities, consumption is lower by 0.82 kWh per cooling degree hour. The Energy Star effect is a 0.31 kWh reduction per cooling degree hour. Finally, peak savings for all three variables of interest occur at 2pm in the summer months, whereas peak summer marginal prices at DC's local electric utility occur at 5pm.