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This paper study regional attractiveness through passive portfolio investment based on duration, immunization and convexity (in case of higher interest rate volatility) of municipal bonds by using data from Standard and Poor’s. The massive variety of financial incentives to promote regional investment attractiveness is dependent on governmental strategy. Municipal bonds are the one of the most efficient ways of direct investments in the region, however, it is still a question of a good balance between a certain rate of return and an adequate risk. The purpose of this paper is to analyze the investment opportunities in municipal revenue bonds.

This study developed a model of investing using municipal bonds with the case of their immunization and analyze attractiveness of such investment. The theoretical model assumes a situation where the local government finances its capital projects through municipal revenue bonds. Such situations influence strongly on regional or local competitiveness provided by local government policy.

An analysis of the municipal bond market indicates that both municipal general and revenue bonds had stable and good level of yields to maturity in the past ten years. Their standard deviations were very low and in the past two years almost approached the level of standard deviations of treasury bonds. With the duration of 4–6 years on 5-year investment in municipal revenue bonds and their immunization, it is possible to provide good returns for investor.

The limitation of this study concerns theoretical situation where local government will use non-market-based policy to reduce the interest rates and that will influence on rise of municipal bond liquidity premium (price distortion). This situation will make municipality bonds less attractive for investing, especially because of lower liquidity on secondary market. Also, this model is applicable in regions that have developed financial markets.

This research suggests governments a sustainable framework to use municipal bonds as a strategy for capital targeting in regions.

This research is related to professional investors’ strategy with projects that have the highest investment potential; this is good way for an adequate allocation of resources (regional competitiveness).

This paper analyzes very rare subject involving local government strategy of finance and portfolio investment in municipal bonds. There is a huge gap in the literature on this issue. Also, this study provides the model that can be used as a case for higher local competitiveness.

The purpose of this paper is to investigate the joint influence of two factors (companies’ performance and growth) on the company’s capital structure and to determine the conditions for financially sustainable competitive strategies in the coordinates profitability and growth.

The study sample includes 1,996 companies from 6 high-tech industries in Russia (panel data: 7,984 observations). The authors use regression models with random effects and carry out a three-dimensional visualization of the resulting dependencies.

The study found that profitability improves the capital structure (reduces the share of borrowed capital) and, on the contrary, the growth of companies (assets growth or sales growth) increases the leverage ratio. In the case of assets growth, the combined influence of two factors reduces the negative effect of assets growth. The results have shown that the outstripping growth of most high-tech companies requires an increase in debt capital and deterioration in the capital structure and financial stability.

In general, based on the results of this study, the authors have identified groups of fast-growing companies that need financial support, and have defined the main areas of impact (reducing the loan burden and increasing profitability) that will allow these companies to maintain high growth rates and demonstrate advanced development.

The relationships (which the authors identified between the control variables, the studied variables and leverage) were obtained for the first time for a sample of companies in high-tech industries and services in bigger transition country (Russia).

The purpose of this paper is to study the impact of wine tourism on rural destination development. Consequently, this study attempts to develop contemporary insights on this under-researched area such as residents’ perceptions of wine tourism and its impact on the rural destination development.

In this study, the authors used a structured survey questionnaire from a random sample of 318 respondents based on the Fruška Gora Mountain in Serbia. Research also used structural equational modeling for empirical econometric testing in this data sample. This technique is appropriate for multivariate analysis.

Personal resident benefit associated with wineries is positively related to resident perceived economic impact (H1) R²=0.624; socio-cultural impact (H2) R²=0.685 and environmental impact (H3) R²=0.716 of wineries on local communities. Looking at the path diagram, the authors concluded that personal resident benefit associated with wineries is strongly related to resident perceived impact of wineries on local communities as regression weights are higher. Other findings relate those residents’ positive perceptions of wine tourism to increases in sales revenue, environmental protection, intrapersonal and interpersonal communication.

The positive attitude of the local population is an essential link of development. Such understanding of residents’ perceptions optimizes destination management in the future and, more importantly, local sustainable development. This has high policy implications.

The present study contributes to the scientific circles by connecting perception research with wine tourism.

The starting premise of this study is that women's empowerment is the goal for self-realization and that the support that comes from local tourism stakeholders represents an adequate base. In many rural areas, women have established self-help groups (SHGs), which facilitate the interaction with a wide range of stakeholders. The objective of this paper is to investigate the effects of SHGs on female entrepreneurship and self-employment in tourism.

To examine the research question, this study adopted a quantitative research that included a sample of 513 women in a less-advanced rural area in Serbia. For the data analysis, the generalized linear regression model (GLM) was used.

According to the results, self-employment is the leading goal of women's empowerment.

The main limitation in the research and the authors’ suggestion for future research is to increase the sample size of female respondents, so examination of their attitudes and role in the travel business in their local settings might reach higher significance. The second issue that the authors would like to point out is a highly local character of our study, so the future research should involve other rural areas in the country and from abroad (e.g. similar undeveloped countryside with noticeable, active women's role in local entrepreneurship).

The most important practical implications of this paper are twofold: (1) the results of the research have shown that the tourist potential of rural areas can be enhanced through local tourism stakeholders' support; (2) women without professional interest or jobs in rural areas, especially in the areas where the population is traditionally dominated by men (husband/brother/father), have a chance to earn and to be economically more independent. This research can affect future studies to investigate other aspects of empowerment depending on the difference of regions, from one side, and also alternative opportunities for tourism and local development in less-advanced rural areas, from another side.

The study analyzes the tourism potential of the rural areas (which are less advanced and mostly very poor in developing countries, such as Serbia). In this case, there are opportunities to increase employment, social inclusion of women, development of new tourism strategies, implementation of destination marketing, etc. Moreover, it contributes to future research in the field of stakeholders in tourism strategies.

The purpose of this study is the detection and comparison of distinctive features of Gazelle firms (GFs) at three stages evolution outside the typical boundaries.

The study uses Analysis of Variance and logistic regression to tests the performance of 2427 gazelles for (GFs) a five-year period (2015–2020).

The study found that GFs prediction probability is low. In their second and third stages of evolution (initial growth and continuing growth), the gazelle growth effects appear. They are more effective in terms of profitability and turnover due to increasing sales and size.

This study shows that stakeholders should give preference to GFs that demonstrate long-term (steady) growth. Such firms are more efficient and financially stable than firms with high short-term growth.

The present study identifies patterns in the generation and development of GFs in high-tech industries outside the typical boundaries.

The paper introduces a resource-based linear programming model for resource optimization in small innovative enterprises (SIE).

The model is grounded on resource-based view on the firm and dynamic capabilities approach. Linear programming technique is used to provide the actual framework to the resource-based model.

The paper introduces a new resource-based linear programming model for resource optimization in small innovative enterprises. The conceptual model is grounded on resource-based view (RBV) and dynamic capabilities strategy. The RVB of firm and firm strategy is based on the concept of economic rent. Linear programming technique is used to provide the actual framework to the resource-based model. In developing the versatility concept, study suggests a distinct sight regarding resource fungibility. Study classifies resources into multipliable, rentable and expendable resources to increases adequacy of the model. The developed model includes both tangible and intangible assets such as human capital. The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation.

The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation.

One very significant contribution of the present study is that the study develops a new resource-based model for SIE especially for the SIE in the initial stages of the life cycle, to gain competitive advantages. Furthermore, the present study contributes to the existing literature in strategy at least in three senses as mentioned below: 1. further addition of SIE research based on the RBV and dynamic capabilities in the strategy literature 2. in developing the versatility concept, the study suggests a distinct sight regarding resource fungibility and it classifies resources into three categories as follows: multipliable, rentable and expendable resources to increases adequacy of the model. 3. Finally, the study introduces a new resource-based linear programming model for SIE resources allocation. To the best of author’s knowledge, no such similar model is introduced by any previous studies for small firm. The greatest advancement of the developed resource-based linear programming model is its simplicity and versatility.

This study aims to examine whether the publication of analyst recommendations has reaction in the Russian stock market. This study also aims to determine the other factors that influence the reaction.

Event study analysis (ESA) and regression models are used in this study.

The study finds that Russian stock market significantly reacts to analyst recommendations publications. Then study deeply investigates about the influence of other factors on the Russian market when an analyst's recommendations are published such as changes in recommendation levels, companies' size and general economic situation. The analysis done in the context of three types of recommendations: “buy,” “hold” and “sell.” The study finds that the market reacts not only to separate forecasts and subsequent recommendations, but also to the changes in recommendations' levels as well. Interestingly, the study finds that the impact of crises is not found to be a significant factor in the context of the Russian market.

Analysts used to spend much more resources on conducting a fundamental analysis than ordinary investors do. Therefore, they usually possess valuable privileged information that is supposed to influence stock prices when published. However, the present study argues that the direction, extent and period of a reaction of an analyst's recommendations are highly complicated and depend on what factors are under consideration in a particular research. Very often, the authors who dedicate their papers to develop and study markets choose a couple of (or even one) factors and delve into them. Nevertheless, to the author's best knowledge, few frequently cited and well-conducted research focused on such an emerging market as the Russian one. Thus, it seems reasonable that there is a gap in the literature that needs to be filled while considering other important factors. The study findings have a significant investment policy content.

In several senses, the present study is unique. First, it investigates whether analyst recommendations sufficiently affect the Russian stock market; second, it determines whether the significant factors such as changes in recommendation levels, companies' size and general economic situation have influence on the reaction. Finally, the study discusses about whether there is an impact of crises in the present study findings.

The paper analyzes the effects of the capital structure on company performance (return on assets). The analysis is conducted in a large sample of high-tech manufacturing and service companies in the transition economy (Russian Federation). In addition to the aggregated analysis, separate investigations are conducted to scrutinize the impact of company age, size and location factors (the effects of agglomerations). This research postulates the existence and variability of the optimal capital structure and its dependence on economic crisis.

We utilized a large sample that includes 1,826 enterprises over the period from 2013 to 2017. The estimation was performed using the panel-corrected standard error estimation technique (Prais–Winsten regression) to account for the panel nature and distributional properties of our data. The existence of the optimal capital structure was assessed based on a curvilinear (quadratic) function.

The results are consistent with the Static Trade-off Theory and show that this theory is applicable to countries with transition economy. They demonstrate that effective management of the capital structure can increase return on assets by 16–22%. The optimal share of borrowed capital is higher for small businesses compared to larger ones and for enterprises located in agglomerations compared to those located in other regions. A greater increase in profitability can be achieved by larger firm companies compared to smaller ones. High share of borrowed capital leads to negative profitability, i.e. to losses by enterprises. No significant differences in profitability growth were identified between young and mature enterprises. The optimal share of borrowed capital that maximizes return on assets is in the range of 0–21%.

Due to the SPARK policies, our access to the data has been limited to a five-year window, which imposed certain limitations on the choice of econometric methods we could have employed and somewhat limited our ability to contrast the effect of the crisis period with the period of stability. In this sense, although our results pertaining to the effect of the crisis could be treated as conservative, future research should consider extending the panel to include more years into consideration.

We identified significant differences between optimal capital structures and actual capital structures for high-tech enterprises. The contribution of this study is that the calculations were made for a country with a transition economy under crisis conditions. Countries with transition economies and developing countries tend to be characterized by a high level of interest rates on loans and a high proportion of borrowed capital in total assets. This poses difficulties for companies relying on borrowed capital to finance their operations. At the same time, our results demonstrate that in transition economies, enterprises in high-tech industries do have an optimal capital structure that allows maximizing firm performance. That is, Static Trade-off Theory is applicable to transition economies characterized by high interest rates on loans.

The novelty of this study lies in the detailed analysis of high-tech industries in Russian Federation. This analysis makes use of sophisticated econometric techniques for the first time in this context.