Legumes are becoming more popular in food and feed consumption. They are promoted by EU policy related to healthy lifestyle and environmental policy. Legumes can be grown in crop rotation as monocrop or in different kind of intercropping systems. It is a well-known fact that legumes play an important role in fixation of the atmospheric N, whereas their influence on other biological and chemical aspects of the soil ecosystem is only explored partially. The experimental trial was established at the Pūre Horticultural Research Centre with the aim of studying the influence of legumes on the soil properties in the intercrop with strawberries (Fragaria × ananassa Duch.). Different genotypes were included in the trial as intercrops: two local broad beans (Vicia faba var. major L.) genotypes, two pea (Pisum sativum L.) cultivars and clover (Trifolium hybridum L.). Two control treatments were included in the trial: with and without nitrogen fertilizer usage. Strawberries were planted in May of 2014 and maintained in the field for three years. Results showed that there were significant differences between treatments in soil respiration rate (SRR) and SRR dynamic throughout the experiment time. Dehydrogenase activity had similar results, though no significant differences between treatments were observed in the third year. No significant difference between treatments was found in the soil organic matter. Obtained data shows that legumes have a significant influence on the soil biological properties but not on biochemical properties. Further research needs to be carried out to determine legume influence on soil environment in more detail.

The agronomic role of legumes in cropping systems is well understood with the respect to N2 fixation, mechanisms of precrop effects, and environmental impacts. The combined inoculation and tripartite symbiosis between leguminous plants, Rhizobium spp. and vesicular-arbuscular mycorrhizal fungi has been the subject of intensive research. Less attention has been paid to their effects on subsequent crops. Pot experiments were carried out in the greenhouse of Latvia University of Agriculture in 2015 and 2016. Soil used for this experiment was taken from the previous trial, where broad beans (Vicia faba var. major Harz.) were grown. Bean seeds, depending on the variant, were inoculated with rhizobia bacteria or mycorrhiza fungi, or the mixture of both microorganisms. Onions were grown as a subsequent crop. During the experiment, fresh and dry weight of onion leaves was determined. Onion root mycorrhizal colonization frequency and arbuscule abundance in the onion root system were determined. The activity of soil microorganisms was determined by soil respiration intensity. Results showed that the use of microsymbionts increased the subsequent onion leaf harvest in 2014 by 2.3% and in 2015 by 9.5%. In 2015 the highest increase of onion leaf yield was detected in variants were rhizobia strain RP023 was used. Rhizobia strain RV407 gave a positive effect only in combination with mycorrhiza fungi. Precrop treatment with mineral nitrogen fertilizer increased the onion yield in both years – by 12.4 and 14.3%, respectively. In all treatments, a decrease in dry matter content was observed. The highest incidence of mycorrhiza fungi structures was detected under mycorrhiza treatment. Tripartite symbiosis promoted the soil respiration rate.

The productivity and its performance is one of the core topics of economics studies. The growth of productivity is an indicator of competitiveness, as well as a possible way to achieve economic growth and wellbeing. After joining the EU, the agriculture of the Baltic countries faced increasing competition of the EU Single Market, while having relatively lower productivity indicators. Since 2004, significant structural changes have taken place in the agriculture of the Baltic countries, and it is a topical question whether these changes and overall trends in the agricultural sectors of the Baltic countries have facilitated to increase productivity. Therefore, the objective of the study is to evaluate the productivity growth of the main production factors and the total factor productivity growth in the agriculture of the Baltic countries between 2004 and 2015, in relation to the changes in the use of the production factors. The paper focuses on the value added as output, and land, labour and capital as individual inputs to obtain partial productivity measures. The evaluation of TFP is based on the Index number approach, where TFP growth is a ratio of the Output index to the Input index. The calculations and analyses show that since 2004 both the agricultural output and value added have increased in the agriculture of the Baltic countries, and also productivity performance has improved.

The legal regulation of the public sector auditing among the Supreme Audit Institutions (SAI) of the Northern and Central-European countries holds the potential to offer new perspectives on the functioning and independence of these public audit institutions. This paper aims to examine the external audit practice among the Baltic Sea Region countries as it is defined in the laws and legal acts aimed at the functioning of the particular institution. The task was carried out by conducting an analysis of the legal regulation of the corresponding supreme audit institutions. Overall, SAIs in the Baltic Sea Region closely cooperates with the Parliaments in the reporting phase. Meanwhile, most of them are closely integrated with the legislative power during the phase of the appointment of the head of the audit institution as well as during the budgeting phase and later on during the reporting phase. The research shows that among the Baltic Sea Region countries the Supreme Audit Institutions pursue audits in diverse range of fields as stipulated in the legal regulations. The paper also indicates a space for further research in the field of the SAI legal regulation, audit merit and further interrelation with the executive and legislative powers as well as the impact of such cooperation on the functioning of the accountability system in the particular country.

The aim of the research is to prepare proposals for assurance of the business clusters formation regarding the regional development potential upon study of the clusterization of Lithuanian regional companies. After extensive analysis of scientific literature, the qualification of the cluster, their structure, main features, goals and benefits to its members, region, and sector where cluster is based, are observed. From analysis of relevant secondary data the main problems that hinder the development of clusters in distinct regions of Lithuania are distinguished. It is revealed that clusterization in Lithuanian regions lags far behind big cities, it is much more passive and clusters there often reach only the level of a micro-cluster. Clusters are most developed in the tourism and food industries, using traditional means instead of high-techs, failing to benefit from EU support for clustering development. In order to improve the clusterization situation in Lithuania and its development in the regions, more attention and investment are to be allocated for promoting cooperation between the companies and the business and science, research sectors, and joining the international cluster. The state support should be prioritized in the rural regions locating less clusters, forming a reliable means and communication network for these clusters’ development.

The paper presents an approach for the analysis of rural areas’ socio-economic development. Rural regions include spheres of human activity: institutional, environmental, social, labour, industrial, economic, technological development spheres. Under the development of the rural regions, changes in the variables of different spheres of human activity in the region, increasing the potential for human development, is understood. Human Development Index measures the potential for human development measurement. The model of socio-economic development of the rural regions presented in the article is characterized by both endogenous and exogenous variables of the model. Model of socioeconomic development of the rural regions is presented in the form of six econometric equations, each of which is an ADL-model. Each ADL-model contains endogenous and exogenous variables. The article presents the structural form of a system of economical equations in each one equation there is more than one endogenous variable. It shows the transition from the structural form to the form of the system of economical equations, where each equation has only one endogenous variable. The system of equations was developed for the rural regions of Russia. Baseline data were obtained from the database of the State Statistics Committee of Russia. The article provides a solution to the system of equations. The solutions to the model can be used for developing strategic development of each separate rural region or a combination of all the rural regions.

Foreign trade as part of the main economic relationship between a country and the global market, its regions and super-players is a significant research object. This paper deals with a particular case, exploring Latvian import in first one and a half decade of the 21st century. Since in Latvian academic society economic issues are largely dominated by economic scientist, this is an attempt by geographer to look at special aspects of mentioned ties and relationships. Research is focused around main producing sectors of economy such as agriculture, fisheries and forestry. With the aim of establishing clear ties between Latvia and its major import markets, the statistics of foreign trade was analysed using frequency analysis. The research shows that Latvian major import markets, although, similarly with its export markets, are located in the Baltic Sea region and have some differences. Major import markets are usually countries with bigger internal market, than Latvia’s. Import does follow the pattern of export markets in its separation into East and West groups with similar characteristics. Major difference, however, is differentiation of markets, where majority of high quality goods are being imported from a wider variety of markets, in contrast to export, where consolidation was a major pattern. This shows a rather close competition on world markets for potential clients, and a way for further economic change in Latvian industrial structure and operations.

Entrepreneurship education is a relevant topic in today’s study programs of higher education at two levels: as research object and as development of skills while preparing students. In fact, the latter is one of the most important objectives in Lithuanian universities aiming together with other disciplines at developing students’ entrepreneurial skills. The main aim of the article is to analyse theoretical and practical models of entrepreneurship education applied in universities and introduce development trends. Teaching process involves various methods, internships, consultation and instruction, but usually all activities are not systematically applied. From the behavioural perspective, this study analyses students towards entrepreneurship through the opportunity identification, motivational factors, information source, resources impact and entrepreneurial ability. Hypothetical deductive approach was used through a population sample of 194 students of Aleksandras Stulginskis University Faculty of Economics and management. The research summarized in this paper students attitude toward motives, factors encouraging and preventing entrepreneurship and information sources in the higher education institutions. The gap between teaching methods and student attitude towards at entrepreneurship educations can be reduced supplementing collaboration among stakeholders in the entrepreneurship education. In final part of the article, trends of entrepreneurship education in university enabling to assess dimensions of the development of entrepreneurship education are presented.

Private forestry and forest owners in Estonia have become more profound research subjects in the last decade. One of the most common research topics has been the identification of private forest owners’ (PFO) values and objectives. However, much of the existing studies rely on quantitative data which usually describes more active owners and owners whose forest property is larger than the average. Thus, the aim of the present study is to identify the management objectives and motives of non-industrial private forest owners using a qualitative approach – something that has been rarely used in forest owners’ research in Estonia. Eight forest owner interviews form the dataset, which is analysed in order to identify PFO forestry objectives and forest use. The results of our qualitative content analysis show, in principle, similar generalized forest owner types of motivations. However, the qualitative approach opens up these generalized types even more. Income motive goes beyond just continuous financial returns and means in many cases a sense of security. Forest ownership is closely linked with “home” interpretations. We conclude that qualitative methods in small-scale forestry research provide new insights to forest ownership and its meanings to private forest owners.

The objective of this study is to evaluate the performance of models developed by Repola (2006) to estimate the vertical changes of the basic density of Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies [L.] Karst), and birch spp. (mainly Betula pendula Roth) stemwood in the forests of Latvia and to develop a model for the estimation of average knot-free stem density with bark (SD) using diameter at breast height as an independent variable. The study material comprised a total of 81 spruce, 102 pine, and 105 birch stems representing a wide range of tree growing conditions in Latvia and covering all age classes. The knot-free stemwood density (SWD) of pine and birch demonstrate strong vertical dependence along the stem, while for spruce the variation pattern was less pronounced and seemed to be nearly constant along the stem. The SWD estimated by Repola’s models was 4.3% lower for spruce, but 3.4% higher for pine and 2.2% for birch comparing to average values obtained in this study. Sigmoidal regression equations constructed in our study explained 67%, 27% and 54% of variations for predicting SD for pine, spruce and birch, respectively. Birch stemwood has a highest basic SWD – 470 kg mE-3, followed by pine – 397 kg mE-3 and spruce – 385 kg mE-3. According to our results, the birch bark turned to be denser than the birch stemwood, being vice versa for the studied coniferous species.