1,469 research outputs found
Clusters as a vehicle for regional development – The case of Lublin Region.
Clusters are a specific form of spatial organization of various sectors of industry and services regarded as the most mature form of organization of production in the post-industrial era. Research on existing cluster structures clearly demonstrates that clusters can be an important drive of regional development. Clusters have positive influence on the other sectors of local and regional economy and significantly contribute to the development of their international competitive advantage. The clusters through external effects, such as technological spill-over, affect the other sectors of local and regional economy and thus lead to increasing their international competitive advantage. Even the cluster-like structures by many are viewed as stimulators of regional development capable to contribute significantly to the growth of export and attract considerable amounts of foreign investments. Cooperation within the cluster structures can produce a wide array of synergy effects and thus cluster participants can benefit even more. Cooperation within the framework of clusters is particularly advantageous to small and medium-sized enterprises; they can combine their innovative potential, team up and apply for external funds more effectively. The concept of clusters represents an important step towards explaining the reasons for unequal distribution of economic activities in space and resultant disparities in economic development between various regions. A groundbreaking model of clusters based on the triple helix of science, business and government has determined new approach to stimulating innovation in order to alleviate regional disparities and ensure sustainable hi-tech regional development. The paper explores clusters as a crucial concept in modern management and contemporary economic development theories and discusses selected factors shaping clustering processes.
THE TRIPLE HELIX IN CLUSTERS - A METROPOLIS SHAPING FACTOR
A formal status of being a metropolitan area opens up vast opportunities for economic and social development for the whole region and a metropolitan area itself. However, literally only few big urban areas in Poland, including Lublin, are capable to meet all applicable statutory qualitative and quantitative requirements. Lublin with its geographical location, population, established Special Economic Zone and Regional Science and Technology Park, numerous organizations and institutions, including local and regional business supporting agencies as well as many successful research-and-development units, has a solid base to become a ‘metropolis of knowledge’. Intensified co-operation between all three spheres within the framework of so called ‘triple helix’ could largely strengthen this process. The very concept of a ‘triple helix’ is based on interactions between three types of organizations – scientific centres, public institutions, including self-government authorities, and business. Lublin has all the assets to become ‘a cluster of knowledge’. Co-operation between scientific institutions, science and technological parks, business incubators as well as properly designed policies based on the economy of knowledge and therefore providing significant preference to high added-value projects are crucial for Lublin to be considered a metropolis of knowledge.clusters, networks, triple helix, metropolization, regional development
With a Little Help from My Friends: Ministerial Alignment and Public Spending Composition in Parliamentary Democracies. LEQS Paper No. 133/2018 April 2018
The determinants of public spending composition have been studied from three broad
perspectives in the scholarly literature: functional economic pressures, institutional constraints
and party-political determinants. This paper engages with the third perspective by placing
intra-governmental dynamics in the center of the analysis. Building on the portfolio allocation
approach in the coalition formation literature and the common pool perspective in public
budgeting, I argue that spending ministers with party-political backing from the Finance
Minister or the Prime Minister are in a privileged positon to obtain extra funding for their
policy jurisdictions compared to their colleagues without such support or without any partisan
affiliation (non-partisan ministers). I test these propositions via a system of equations on six
spending categories using seemingly unrelated regressions on a panel of 32 parliamentary
democracies over two decades and offer largely supportive empirical evidence. With the
exception of education, I provide evidence that budget shares accruing to key spending
departments reflect this party-political logic of spending outcomes. In addition to the
econometric results, I also illustrate the impact of ministerial alignment by short qualitative
accounts from selected country cases
THE CLUSTERS AS A FACTOR ATTRACTING FOREIGN DIRECT INVESTMENTS IN LESS DEVELOPED REGIONS
The role of cluster initiatives in economic and social development is becoming increasingly important. Low level of innovation, poor competitiveness, high levels of unemployment and emigration of qualified workforce are severe problems that less developed regions are facing. Therefore, various cluster initiatives could be a solution. Clusters stimulate innovations and contribute to the increase of competitiveness of local economy and individual businesses. They should also encourage foreign capital investments. Foreign direct investments are one of the most important factors stimulating economic growth. The present paper investigates concept and essence of clusters, the concept of foreign direct investments and Polish experiences in attracting foreign capital. The authors try to answer the questions: how do clusters impact regional attractiveness for foreign direct investments? Which are the reasons behind the locational choices of foreign direct investments near a cluster based environment? What is the role of foreign direct investment in clusters and, finally, what is the impact on regional development from both clusters and foreign direct investment?clusters, foreign direct investments, less developed regions, regional policy
The role of foreign capital investments and the European Union Funds in management of regional and local development.
A shortfall of capital constitutes a major barrier of regional and local development. Introduced economical and social transformations started a decade ago had opened Polish economy to the inflow of foreign capital. Both the central government as well as regional and even local authorities spent a lot of efforts to attract foreign investments into the country and as a result of these exertions at the end of 2002 foreign investment stock exceeded 65 Bln US dollars, including more than 61 Bln dollars in huge investments (exceeding 1 Mln dollars). The peak inflow of foreign direct investments to Poland was in 2000 when more that 10 Bln US dollars reinforced Polish economy. However, significant drop was observed in the following years (2001 – 7 Bln dollars, 2002 – 6 Bln dollars). Over the course of political and economical transformation of Polish economy and transition into the market-driven economy near 50 thousand business ventures engaging foreign capital were formed. Unfortunately only a little bit more than 700 found favorable environment in the Lublin region. The Lublin region is the third largest region in Poland. As revealed by our survey presently some 22% out of 213 local communities in the region, also called ‘gminas’, recognize the importance of foreign direct investments in stimulating local social and economical development and it is reflected in their development strategies. Joint venture companies with foreign capital operate in 87 gminas of the Lublin region, and 93 local communities successfully applied for structural funds made available by the European Union to the newly accessing countries (PHARE – 32 gminas, SAPARD – 81 gminas). As regards diversification of financial resources to support local development a trail has already been blazed by many local communities successfully attracting foreign capital and the EU funds. The present paper, based on the research carried out by Department of Economics of Lublin University of Technology, surveys the actual role and perspectives of old and emerging opportunities in terms of financing local and regional development.
Clusters As Vehicles Stimulating Regional and Local Development.
Past experience of European Union member states acknowledge significant role of regions in the process of European integration. As a matter of fact regions compete for capital but what should be simultaneously highlighted they also collaborate in many fields. To a large extent regional and local development is determined by clusters, which are groups of complementary enterprises having certain similarities with one another as well as linked institutions engaged in a certain area. Clusters can play crucial role in improving competitiveness and stimulate innovation in regions, especially those economically backward as well as in Polish economy as a whole. The aim of this paper is to survey some theoretical concepts and practical aspects of functioning clusters, especially good practices and shortcomings in the context of regional and local development, and presentation of Polish relevant experiences and expectations. This paper presents a few clusters operating in Poland, with special focus on two clusters run in underdeveloped Lublin region – Ecological Food Valley and Aviation Valley.
Trivial Transfer Learning for Low-Resource Neural Machine Translation
Transfer learning has been proven as an effective technique for neural
machine translation under low-resource conditions. Existing methods require a
common target language, language relatedness, or specific training tricks and
regimes. We present a simple transfer learning method, where we first train a
"parent" model for a high-resource language pair and then continue the training
on a lowresource pair only by replacing the training corpus. This "child" model
performs significantly better than the baseline trained for lowresource pair
only. We are the first to show this for targeting different languages, and we
observe the improvements even for unrelated languages with different alphabets.Comment: Accepted to WMT18 reseach paper, Proceedings of the 3rd Conference on
Machine Translation 201
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