The demand for and supply of forest biomass have both been increasing in recent years, which will set new requirements for forest management. Thus, new studies on regionally suitable forest management regimes to fulfill the needs of potential new investments and the impacts on wood supply potential on regional socioeconomic welfare are called for. The aim of this study was to examine the impacts of intensive forest management due to increased demand for wood biomass, from the regional economy point of view. In particular, the impact of intensive forest management on 1) regional gross domestic product (GDP), 2) private consumption, and 3) employment were assessed. The study was carried out by using computable general equilibrium (CGE) modelling combined with the requisite statistics and simulation of regional forest potential in the future. The results showed that total regional forest biomass supply with more intensive forest management could be increased annually on average by 26% (1.7 Mm 3) by 2030 compared to the business as usual (BAU) scenario. In this study, regional demand was increased by a hypothetical saw mill (0.5 Mm 3) and biorefinery (0.7 Mm 3). Total regional socioeconomic benefits could be 2.8% (€150 M) for GDP, 1.5% (€49 M) for private consumption and 1.6% (780 person-years) for employment, larger by 2030 than in the BAU scenario including multiplier effects. The study demonstrated how much regional socioeconomic welfare would increase if regional wood demand with new investments combined with more intensive forest management and wood supply had more attention paid to it.
SUMMARY DVB-S2X is the cornerstone for satellite communication standards forming the state-of-the-art of broadband satellite waveforms. In this paper we propose new application scenarios and advanced techniques, including a reference design implementing superframing, predistortion, a robust synchronization chain, and a plugand-play channel interleaver. We demonstrate by means of software simulations and hardware tests that the DVB-S2X can be a common technology enabler for land-mobile, aeronautical, and maritime satellite scenarios in addition to the more traditional VSAT scenario, even in very challenging conditions (e.g., very low SNR).
Poland is the most coal-dependent economy and one of the biggest polluters in the EU. In order to alleviate this problem, meet CO2 emission requirements set by EU, and improve the country’s energy security, Poland decided to introduce nuclear power to its energy mix. So far, several potential locations for nuclear power plants have been officially proposed, mainly based on technical parameters, but no comparisons of the economic impact of such locations have been considered. Consequently, the main goal of this paper is to compare the national and regional economic effects of investments in nuclear power plants—for both the construction and exploitation phases—in the four most probable locations, which are similarly beneficial from a technical point of view. In order to simulate these effects, the spatial recursive dynamic Computable General Equilibrium model was calibrated until 2050 including agglomeration effects and featuring the regional economies of all Polish regions. The results show that although the construction phase is beneficial for economic development in all four regions, the exploitation phase is good for only one. The economies of the other regions suffer, to a greater or lesser extent, from the Dutch disease. The paper argues that the regional economic effects of such an investment differ significantly, due to differences in the regions’ economic structures; hence, they should always be taken into account in the final decisions on the power plants’ locations.
The present study analyzes the difference between the Åland Islands — an insular and peripheral part of Finland — and Finland as a whole in terms of firm local embeddedness. The analysis utilizes matched employee-employer longitudinal data for all businesses in Finland, including the Åland Islands, from 2006 to 2014. Local embeddedness is modelled both as tenure (the number of years a key stakeholder in a firm has lived in the same municipality as the firm) and by calculating the geographical distance the key stakeholder lives from the focal firm. Contrary to our expectations, we find that for our tenure measure of local embeddedness, firms are actually less locally embedded in the peripheral region than in the larger country. However, our distance measure of local embeddedness performs as expected with firms in the peripheral region. We hypothesize that that there may be an optimal level of local embeddedness, above which a local firm does not necessarily gain by further increasing its local embeddedness.
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