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Allocation of structural funds before and after the brexit: An exercise in the economics of cake-sharing
69-71Views:207What impact has the Brexit on the allocation of money from the structural funds? As the UK is a net contributor to the EU budget, the budget for Structural and Cohesion Policy will shrink. This will have an impact on the allocations of the structural funds to the remaining members of the EU. In order to estimate the allocation of the structural funds to the remaining EU members an allocation model is developed in this article. It appears that the model results do not only show the sharing of the cake, but also the size of it.
JEL Code: F00, Q00
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Agriculture in the Netherlands: Its recent past, current state and perspectives
23-28Views:636The driving forces that determine the prospects of the agricultural sector are dominated by international and European developments related to the demand for and supply of products. In this context, European policy, (such as the CAP), and national policy (e.g. nature management) can greatly influence the development of the agricultural sector.A further reduction of the support by the government forms an important element in the expected future developments.
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Composite indicators and sustainable development of regional agriculture applied to the Stavropol Territory in Russia
81-88Views:238The aim of this paper is to understand and evaluate agricultural sustainability in the Stavropol Territory by means of a composite indicator. In particular, the paper applies principal component analyses to calculate a composite sustainability index by integration of selected economic, social and environmental indicators. The results demonstrate the utility of analyzing several indicators in conjunction. The results also may indicate which variables influence development of regional agriculture. This information is important in order to design agricultural support policy and to implement an increase the sustainability of the agriculture sector.
JEL Code: O13, Q11
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ONLINE AND E-LEARNING BEST PRACTICES, NEEDS AND HABITS FOR THE INTERNATIONAL AGRIMBA NETWORK
Views:166From the literature part of this research, it shows that, some of the most popular Learning Management Systems (LMS), such as Moodle, Canvas and Blackboard, are used by many universities and colleges worldwide and their popularity is steadily increasing as more institutions adopt online learning. The usage statistics of LMSs by universities can be influenced by a number of factors, such as the size of the university, the specific requirements of the institution, the availability of alternative solutions, and the preferences of faculty and students. In addition, the popularity of LMSs among universities may change over time as new systems enter the market or as existing systems improve and evolve. Based on the number of customers, Moodle's three biggest competitors in the learning management systems category are Google Classroom with 11.70%, LinkedIn Learning with 8.87% and TalentLMS with 5.16% market share.
The most frequently used functionalities of the e-learning system are: study content creation, course management and content library, and the least frequently used are integration with other systems, multilanguage utility, plagiarism checking, accessibility to people with disabilities and personalized learning. Similarly, the most popular functionalities are course management, study content creation and assessment and testing. Respondents least liked the functions of integration with other systems, webinars, accessibility for inclusion, and video hosting and streaming.
Lectures or slides are most often uploaded to platforms, followed by written materials and links, then videos, pictures and tables. Judging by the answers received, the majority of respondents are either completely satisfied (34%) or moderately satisfied (42%) with the e-learning systems they are using now.
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The assessment of intellectual capital in Polish regions
101-105Views:178In a knowledge-based economy intangible assets are indispensable to achieve competitive advantages. Resources like intellectual capital are perceived as crucial factors especially for regional growth. Intellectual capital is comprehended as a multidimensional concept, defined and explained in many various ways, depending on the context and further application. The purposes of this article is to consider the role and importance of the intellectual capital for regional development and competitiveness and to try to use it for an estimation of regional advance progress. On the basis of literature review the article provides a framework to analyse the intellectual capital and its main components. The central attention of the paper focuses on the evaluation of the intellectual capital in Polish regions and its influence on regional performance. The paper surveys the empirical examination of 16 Polish regions in terms of intellectual capital and simultaneously assesses the level of intellectual capital in rural areas. The article provides the insight into the role and value of the intellectual capital in Polish regions.
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In search of clusters
7-17Views:156The aim of this article is to present the ‘regional cluster quick scan’as an efficient and objective tool to scan a region of interest for the presence, nature and development phase of regional clusters. The ‘tool’developed in this research is based on the relations between the state of cluster development in regions, competitiveness, and economic growth. First, a theoretical model is developed and then this model is applied to a real case to test the validity of the model. The results indicate the possibility of identifying regional clusters and their competitiveness by using Shift and Share analysis.
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The competitiveness of rural areas in the Republic of Tatarstan
89-96Views:129This paper analyses the main factors influencing the regional competitiveness of rural areas in the Tatarstan Republic. Firstly, 19 variables related to the socio-economic situation in the Tatarstan Republic were analysed, these having been taken from the Statistics Committee of the Tatarstan Republic. Principal component analysis (PCA) was then used to determine the weights of 10 indicators that have an effect on the level of regional competitiveness. Factor weights are used as weights in the summation of the standardised scores of variables that have an impact on competitiveness. The major factors influencing the level of regional competitiveness are the level of economically active population, investment in housing and the level of education. The following results were obtained: one of the 44 regions is very highly competitive and two are highly competitive; two of 44 regions have a medium level of competitiveness and 39 regions have a low level of competitiveness.
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The social value of science shops: A cost-benefit analysis
23-30Views:187We describe and apply a method to determine the net social benefits of science shops. University departments operating as science shops coordinate research projects for individuals or civil society organizations (CSO) lacking the financial means to turn to professional consultancy bureaus. Three cases are analyzed; the science shops atWageningen, Brussels and Eindhoven. After investigation, it appears that under the normal assumptions for the application of CBA, the science shops concerned show positive net social benefits.
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Agricultural outsourcing: A comparison between the Netherlands and Japan
29-33Views:416Outsourcing may well be a tool for increasing the efficiency of Japanese agriculture. However, outsourcing is not frequently used by Japanese farmers in their day-to-day management. This has resulted in a weakly developed market for agricultural contracting services. In order to take a closer look at the reasons for making use of outsourcing, a comparative study was carried out between the agricultural contracting sector in Japan and that in the Netherlands, where agricultural outsourcing is a regular practice. In the Netherlands, especially small, diversified farms that lack sufficient labour tend to outsource agricultural work; in Japan, the situation is far less clear. Cultural factors possibly play an important role.
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A note on the Dutch disease
34-38Views:222Many resource rich countries are poor, where many resource poor countries are rich. One of the possible explanations of this paradox called the ‘resource curse’ is the Dutch Disease. This paper aims to analyse this phenomenon with the help of a simple macroeconomic trade model. It presents a number of Dutch Disease Cases of which the ‘Norwegian Case’ provides an example containing an effective policy against the negative impact of Dutch Disease on the national economy.
JEL Classification: O11, O24, Q33
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Competitiveness of Polish regional Agro-clusters
35-40Views:198The present paper concerns the analysis and evaluation of the performance of regional agro-clusters in Poland and also the examination of the significant basic factors which have influence on it. The objective of the paper is both to rank the 16 Polish regions according to their competitive position in the agrocomplex and to present their economic and social position, show differences and regional contrasts. Also, we compare the outcomes with the overall Polish regional competitive index, which was created in accordance with the Huggins Institute approach.
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The MBA labour market: A note on the global perspectives for graduates in 2015
91-93Views:163What are the labour market perspectives for MBA graduates in 2015? Each year the GMAC carries out a year-end poll to find out the hiring plans of the employers with respect to graduates in business studies. This short notes presents the most important results for MBA graduates.
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Less favoured area measure in the Netherlands: a welcome or negligible addition?
23-28Views:184The Less Favoured Areas (LFAs) Directive (75/268) which was introduced in 1975, was the first common European instrument of regional agricultural structural policy. LFAs are areas where agriculture is hampered by permanent natural handicaps. The major objectives were to ensure the continuation of farming, thereby maintaining a minimum population level and preserving scenic landscapes and environmentally valuable habitats. In the Netherlands, the LFA measure is used as an additional payment, to compensate farmers for negative economic effects due to the conservation of these natural handicaps. It was not implemented as a stand alone policy, but is linked to measures aiming at active nature and landscape conservation management. In this paper, the effects will be examined of the regulations aiming at the conservation of natural handicaps on farm businesses within LFAs, when comparing them to farm businesses outside LFAs, where these regulations and handicaps do not exist. The main data source that was used is the Farm Accountancy Data Network. Reference groups of farms were compiled with the use of the simple and multiple imputation approach in Stars (Statistics for Regional Studies). Both analyses were tested with the use of a parametric and a nonparametric test. When comparing the results of both analyses, it can be concluded that there is no evidence that there is a statistical difference in family farm income corrected for and not corrected for LFA payment between the LFA farm businesses and the reference groups. Based on these findings it can be concluded that the size of the compensatory allowances is small and there is no evidence that it has a significant effect on the family farm income of LFA farm businesses. The main purpose of the Dutch LFA policy is to compensate farm businesses for negative economic effects due to the conservation of natural handicaps. Although this may be true for some individual farms, based on the methods used in this paper, it appears not to be the case for the collectivity of LFA premium beneficiaries as a whole.
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A note on the measurement of the relationship between happiness and GDP
127-129Views:395This research note compares the results of the measurement of the relationship between happiness and GDP in the EU based upon unweighted data with the results based upon weighted data. The data are weighted in order to correct for the different sizes of the populations in the EU countries concerned. The result of the weighing is an even stronger relationship between happiness and GDP per capita than in the case with unweighted data.
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Agriculture in the Netherlands: Its recent past, current state and perspectives
129-134Views:141The driving forces that determine the prospects of the agricultural sector are dominated by international and European developments related to the demand for and supply of products. In this context, European policy, (such as the CAP), and national policy (e.g. nature management) can greatly influence the development of the agricultural sector.A further reduction of the support by the government forms an important element in the expected future developments.
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