High Growth Potential Research Articles

INFOBUSINESS AS A NEW DIGITAL PHENOMENON IN THE SOCIO-ECONOMIC SPHERE OF RUSSIA: POSSIBILITIES OF MODELING AND REGULATION

Digital technologies are known to have high potential for economic growth, to promote social and political communications. They are platforms for the implementation of new business ideas. New digital phenomenon ”— the information business ”— is investigated in the article. How does information business affect the economy and society? This question determines the main topic for discussion. The following methods were used in the article: system analysis, content analysis, sociological survey, comparative analysis, cluster analysis, fuzzy logic methods, mathematical modeling. The purpose of the article is to determine the relationship and spread of new digital technologies and phenomena in the socio-economic and political spheres of Russia. There are such results as recommendations on the transformation of socio-economic relations, modeling and state regulation of processes in the information environment in the article. At the same time, mathematical methods for studying the tasks are proposed.

Unlocking high-growth potential: does intellectual capital efficiency drive European entrepreneurial ventures?

PurposeThis paper investigates the influence of intellectual capital (IC) efficiency and its components – human capital efficiency (HCE), structural capital efficiency (SCE) and capital employed efficiency (CEE) – on the growth paths of small and medium-sized enterprises (SMEs) and their likelihood of becoming high-growth firms (HGFs).Design/methodology/approachDrawing on the resource-based view (RBV), our study reveals a positive relationship between IC efficiency and the likelihood of becoming HGFs. Using a longitudinal dataset of 554,076 firm-year observations corresponding to approximately 79,158 European SMEs from 2012–2019, our study employs probit regression to examine the impact of IC efficiency on the probability of becoming an HGF. To investigate the impact of IC efficiency across the growth rate distribution, we conduct further analyses via generalized least squares.FindingsThe results show that IC efficiency positively influences the growth paths of small entrepreneurial ventures and their likelihood of experiencing high-growth episodes.Practical implicationsFor practitioners, the findings underscore the importance of investing in IC to enhance the growth process of entrepreneurial firms and increase their likelihood of achieving HGF status. Investments in IC can maximize growth potential and competitiveness, informing strategic decision-making.Social implicationsPolicymakers should consider the critical role of IC in promoting SME growth and formulate policies that encourage the development of IC among entrepreneurial firms. Such initiatives can stimulate economic growth, innovation and job creation across European economies.Originality/valueThis study contributes to the literature by focusing on entrepreneurial firms and examining how IC efficiency drives their transition to HGF status. This study provides empirical evidence across several European contexts over an extended period, emphasizing the role of IC efficiency in shaping the growth paths of entrepreneurial firms.

The biogeography of soil microbiome potential growth rates

Soil microbial growth, a vital biogeochemical process, governs both the accrual and loss of soil carbon. Here, we investigate the biogeography of soil microbiome potential growth rates and show that microbiomes in resource-rich (high organic matter and nutrients) and acid-neutral soils from cold and humid regions exhibit high potential growth. Conversely, in resource-poor, dry, hot, and hypersaline soils, soil microbiomes display lower potential growth rates, suggesting trade-offs between growth and resource acquisition or stress tolerance. In addition, the potential growth rates of soil microbiomes positively correlates with genome size and the number of ribosomal RNA operons but negatively correlates with optimum temperature, biomass carbon-to-phosphorus and nitrogen-to-phosphorus ratios. The spatial variation of microbial potential growth rates aligns with several macroecological theories. These findings not only enhance our understanding of microbial adaptation to diverse environments but also aid in realistically parameterizing microbial physiology in soil carbon cycling models.

Expenditure Rules: Limiting the Level or the Variation of Public Expenditure?

The main goal of the first-generation expenditure rules was to ensure fiscal discipline: preserving a sound fiscal framework and public debt sustainability. Regarding this goal, analytically as well as empirically, limiting the share of public expenditure in GDP would be more appropriate in case of weak potential economic growth or if the public expenditure-to-GDP ratio is high. On the contrary, limiting the variation of public expenditure would be more appropriate for countries with high potential economic growth or with a weak public expenditure-to-GDP ratio. The second goal of expenditure rules is to contribute to sustaining economic activity. Regarding this goal, limiting the level of public expenditure appears as more favorable than limiting the variation of public expenditure. Indeed, a rule in terms of variation could hamper economic growth, especially for countries with a high public expenditure-to-GDP ratio.

DISTINCTIVE FEATURES OF EDUCATIONAL PROGRAMS OF HIGHER EDUCATIONAL INSTITUTIONS OF KAZAKHSTAN FOR THE TRAINING OF TOURIST PERSONNEL

The tourist industry in Kazakhstan demonstrates a high potential for growth, especially in the conditions of the development of domestic tourism and increasing interest in international tourists. High- quality training of tourist personnel is a key factor in the successful development of the industry, and educational programs of universities play an important role in the formation of professionals and work in this sphere. In this article, the specific features of educational programs of Kazakhstan for training tourist personnel, their compliance with market and international standards are considered.

The research on the Investment Memorandum based on SWOT, Financial and Valuation Methods: Case of TSMC

In recent years, with the advent of technology such as artificial intelligence, the Internet of Things, autonomous vehicles, and 5G communications, the demand for high-performance semiconductors has been increasing steadily. TSMC is the world's largest dedicated independent semiconductor foundry, however, its future investment value requires further investigation. Therefore, this paper will focus on analyzing TSMC from three perspectives: SWOT analysis, valuation analysis, and financial analysis, to discuss its strengths and weaknesses. The findings of this paper indicate that TSMC's main advantages are leading technology, economies of scale, and a broad customer base, while its disadvantages are mainly reflected in the risks brought about by geopolitics. At the same time, compared to other enterprises in the information technology industry, TSMC's valuation is relatively balanced and has high growth potential. At the same time, TSMC's financial situation is very stable and shows a trend of growth, with relatively small financial risks. The research results of this article help investors to have a more comprehensive understanding of the development status and investment value of TSMC, provide certain reference for investment decision-making, and also provide a certain reference basis for TSMC to better develop itself and recognize its own shortcomings.

СТРАТЕГИЯ ИНВЕСТИРОВАНИЯ В ДИВИДЕНДНЫЕ АКЦИИ

The article discusses a dividend investment strategy aimed at generating income in the form of dividends. Unlike buying stocks with high growth potential and short-term speculation, it involves less risk, is not too labor-intensive and, at the same time, can be attractive in terms of profitability. The article gives a new definition for the concept of “dividends” and proposes fundamental approaches to forming a strategy for investing in dividend stocks. It is concluded that investors should pay attention to the dividend policy in order to roughly predict the size of dividends.

Factors Determining The Capital Structure of Banking Companies Listed On The Indonesian Stock Exchange

This study aims to determine the effect of Return on Asset (ROA), Sales Growth, Liquidity and Company Size on the capital structure of the banking industry listed on the Indonesia Stock Exchange in 2019-2023. This study uses secunter data with panel data regression as an analysis tool and data processing assistance with Eviews. The results of hypothesis testing show that ROA has no significant effect on capital structure, that companies that use relatively small debt have a high rate of return on investment. Sales growth does not have a significant effect on the mode structure, where companies that have a high potential sales growth rate will tend to generate greater cash flow so that the company will ultimately rely more on internal funding. Liquidity has a significant effect on the capital structure, where if the greater the liquidity, the greater the capital structure and if the smaller the liquidity, the smaller the capital structure. The size of the company does not have a significant effect on the capital structure, this can be interpreted that the size of a company does not affect the capital structure of the Company. The results of this study are also expected to be a reference for future research to increase the number of research variables and increase the number of research populations in various sectors and increase the research period.

Effects of Ecological Factors on Forest Site Productivity in Crimean Pine Stands of the Kastamonu Region

Aim of study: In this study, relationships between ecological factors including topography, climate, soil properties and site productivity of Crimean pine (Pinus nigra J.F. Arnold subsp. pallasiana (Lamb.) Holmboe) stands in the Kastamonu region of Türkiye were investigated. Area of study: The study was conducted in Crimean pine stands of Kastamonu region, northwestern Türkiye. Material and method: A total of thirty-six temporary sample plots inventoried from naturally regenerated pure Crimean pine stands were used in this study. Main results: Our results indicated that climatic factors including precipitation and temperature had the greatest relationship between site productivity. Since climatic factors showed significant differences between the low and high site index classes, they can be reliably used for site classification for this species in the region. Besides, Principal Component Analysis (PCA) showed a strong separation between the poor and high productive sites, considering these variables. The PCA explained 68.7% of the total variation, with PC1 explaining 37.2% and PC2 explaining 31.5% of the data. Research highlights: Crimean pine showed an abstemious characteristic in terms of soil requirements. However, it was also concluded that it has higher growth potential with higher precipitation. The results of this study shows not only an optimal site conditions of Crimean pine, but also additional insights for ecologists and forest managers in determining the decision making for forest management and afforestation applications.

RICE (Oryza sativa L.) SELF-SUFFICIENCY IN MEXICO: IS IT POSSIBLE TO ACHIEVE IT?

Given the significance of rice in the Mexican diet and the country’s dependence on imports to meet domestic demand, an examination of the food self-sufficiency index (SSI) for rice, which was 16.9 % in 2021, is required. The goal of this study was to examine the possibility of increasing the SSI to 66 % through crop area and yield increases, as well as to identify the most competitive regions in irrigated and rainfed agriculture under free trade conditions. A spatial equilibrium model that considered yield and potential area was obtained to analyze three scenarios that would place the SSI at 21, 46, and 66 %. The results show that to reach an SSI of 66 %, production would have to rise to 1139.7 thousand Mg, with 144.6 thousand ha of irrigated land and 18.2 thousand ha of rainfed areas, and an average yield of 7.4 and 4.2 Mg ha-1, respectively. The rice-producing states with the highest growth potential would be Nayarit, Campeche, and Michoacán, which have the potential to increase the cultivated area by more than 75 000 ha. Other regions with potential include Veracruz, Colima, and Jalisco. Due to the vulnerability of the domestic market to exogenous international changes resulting from its dependence on imports, it is recommended that the necessary measures be implemented to increase SSI for rice.

Predicting early depression in WZT drawing image based on deep learning

AbstractWhen stress causes negative behaviours to emerge in our daily lives, it is important to intervene quickly and appropriately to control the negative problem behaviours. Questionnaires, a common method of information gathering, have the disadvantage that it is difficult to get the exact information needed due to defensive or insincere responses from subjects. As an alternative to these drawbacks, projective testing using pictures can provide the necessary information more accurately than questionnaires because the subject responds subconsciously and the direct experience expressed through pictures can be more accurate than questionnaires. Analysing hand‐drawn image data with the Wartegg Zeichen Test (WZT) is not easy. In this study, we used deep learning to analyse image data represented as pictures through WZT to predict early depression. We analyse the data of 54 people who were judged as early depression and 54 people without depression, and increase the number of people without depression to 100 and 500, and aim to study in unbalanced data. We use CNN and CNN‐SVM to analyse the drawing images of WZT's initial depression with deep learning and predict the outcome of depression. The results show that the initial depression is predicted with 92%–98% accuracy on the image data directly drawn by WZT. This is the first study to automatically analyse and predict early depression in WZT based on hand‐drawn image data using deep learning models. The extraction of features from WZT images by deep learning analysis is expected to create more research opportunities through the convergence of psychotherapy and Information and Communication Technology (ICT) technology, and is expected to have high growth potential.

Synthetic Classification of Provinces and Cities in Vietnam as a Guide for Regional Policy

Vietnam is a country with a relatively high level of regional inequality. The General Statistics Office of Vietnam groups the provinces based on their geographic location. This article presents the classification of the provinces and cities of Vietnam based not only on geography, but also on their socio-economic characteristics, economic structure, and the membership in free economic zones (FEZs). The analysis identifies four groups of provinces and cities: i) highly developed (FEZ members with high GRP per capita and a developed technological industry) ii) developed (FEZ members with high untapped economic growth potential and a highly diversified economic base), iii) moderately developed (with a vast primary sector and high potential for the development of the tourism sector) and iv) less developed (the poorest regions). The article highlights individual provinces, the level of socio-economic development of which (ceteris paribus) will allow them to transfer towards the group of more developed provinces in the near future. In order to reduce inequality in other provinces, we propose to use approaches, which have been successfully implemented in highly developed and developed regions, such as incentives for foreign investors or tax preferences for the development of significant industries in individual provinces.

The Impact of Public Expenditure on Inflation: An ARDL Approach

The aim of this study is to investigate and evaluate the impact of public spending on inflation in Algeria from 1973 to 2022. The data used are obtained from the official website of world Bank (WDI) and the Finance Ministry of Algeria. This study is conducted by applying the Auto-Regressive Distributed Lag model (ARDL)-(bounds testing approach) using eviews13 software. The time series of the data were subjected to statistical tests by applying the Augmented Dickey-Fuller (ADF) test. The cointegration tests were also applied for a common relationship and the Model Stability: The Bounds Test for confirming the existence of a stable long-term relationship, the Breusch-Godfrey serial correlation LM test to test the absence of serial correlation, Test Breusch-Pagan-Godfrey to test the Heteroskedasticity; and the CUSUM and CUSUM Squares test for the stability of the model as well as the estimation of the model’s short- and long-term parameters. The results obtained confirm the hypothesis posed in the introduction on the existence of a cointegration relationship between public expenditure and inflation the indicate that there exists a cointegration relationship between public expenditure and inflation, such that a 1% increase in public spending leads to a 0.23% rise in the inflation rate. It is important to mention that this percentage is relatively low compared to the short term, having reached 2%. As regards the other control variables, we found a positive and statistically significant correlation between the inflation rate and the percentage of broad money to GDP and the percentage of imports to GDP. However, we found an inverse relationship between the inflation rate and GDP per capita at constant 2015 prices, which serves as a measure of inverse economic growth. Based on these results, we can suggest Moving forward, policymakers in Algeria must prioritize measures aimed at curbing inflation while ensuring sustainable economic growth. This may involve reassessing public spending priorities, implementing effective monetary policies, and enhancing fiscal discipline. Furthermore, fostering economic diversification and promoting investment in sectors with high growth potential can contribute to reducing reliance on public expenditure as a driver of inflation.

Accelerating entrepreneurship: Evidence from the incubation centers of management institutes of Dakshina Kannada

PurposeIncubation centres are gaining significant prominence as they play a crucial role in providing supportive environment and encouraging entrepreneurship among students. Considering its importance, the study is intended to offer a thorough knowledge of incubators’ role in promoting entrepreneurship growth using data acquired from Dakshina Kannada Management Institutes. It also intends to investigate the efficacy and success of incubators using a variety of metrics. MethodsThis study is based on the mixed-method approach, where specifically the concurrent qual-quant approach is adopted. An in-depth interview was undertaken, and a structured questionnaire was formulated to collect the data from final year Masters’ students from the Management Institutes. Qualitative analysis was narrated and quantitative analysis was carried out using SPSS 26 and AMOS 23, with descriptive statistics, t-test, regression analysis, and SEM which were utilized to evaluate the association between variables. ResultsThe study has highlighted the importance of reputation and credibility of the incubation centre, along with the significance of building a strong network as integral factors for learning from it. Overall, the study has found that students’ perception of education collaboration, and policy regulatory framework pertaining to incubation centres highly impacted the effectiveness of the incubation centre, which further enhances its success. ImplicationsThis study helps to handle challenges for young entrepreneurs through proper direction and support, by refining their business ideas and collaborations with local and regional businesses to create a healthy entrepreneurship environment by fostering the integration between government bodies, financial institutions, and venture capitalists with the entrepreneurs and key stakeholders. Originality/rationaleAs an exceptional highlight than other studies, this study focused on assessing the impact of awareness, perception, education and collaboration, policy and regulatory frameworks, and challenges on the effectiveness of incubators, and success of incubation centre. This has provided the answers to more comprehensive questions pertaining to incubation centre using mixed method approach. The combination of qualitative and quantitative results has identified novel findings which urges the incubation centres to identify the startups with high growth potential where the major challenges lie in convincing the students to implement their own business ideas.

The relationship between financial constraints and investment efficiency

AbstractThis study examines how financial constraints relate to firm‐level investment efficiency. Prior research theorizes that corporate borrowing by issue of risky debt induces suboptimal capital investment spending. We extend this research to examine whether firm‐level financial constraints and internal investment efficiency are significantly related. We measure firms’ degree of overall financial constraint following the procedure developed by Whited and Wu. Our results indicate that among highly financially constrained firms, overall financial constraints are positively associated with investment, and higher financial constraints are more likely to result in greater investment inefficiency. Furthermore, we find that this relationship is more prominent for companies with high free cash flow, high bankruptcy likelihood, and high growth potential. Our findings that financial constraints have significant influence on corporate investment efficiency should be of interest to company managers, investors, and regulators alike.

Potential of treated wastewater as an energy source for district heating: Incorporating social elements into a multi-factorial comparative assessment for cities

Recovering waste heat from urban infrastructures is gaining greater importance in the context of decarbonisation. However, evaluating the feasibility of waste heat recovery projects requires a holistic analysis of potential impacts, which includes social elements that are often overlooked. This paper introduces a novel methodology for assessing the competitiveness of waste heat integration into district heating, based on a multi-factorial decision support tool that incorporates energy poverty as a key performance indicator, in addition to energy, environmental and economic factors. The comparative assessment is based on the implementation of large-scale heat pumps recovering wastewater heat, a resource of great potential that is still underutilised in Europe. The methodology is tested in the cities of London and Riga, which are in countries with significantly different stages of DH development. In London, an emerging market with high growth potential, and in Riga, where there is a well-established DH system. The study has shown that waste heat can significantly reduce consumers' bills for heating, which was observed in all analysed scenarios. The social benefit decreases when the replaced technology involves biomass heat-only boilers or combined heat and power. The methodology presented is generic and can be applied to other locations and heat sources.

The Impact of a Company’s Management Strategy on Its Profitability, Stability, and Growth: A Focus on the Information Security Industry

This study concentrated on a business report that typically reveals a company’s non-financial information, aiming to uncover its strategic direction. Using text-mining techniques, the research extracted and analyzed the report’s overview sections, identifying key strategic themes categorized into the financial, customer, learning and growth, and internal process perspectives. The empirical analysis applied a two-stage model to assess how shifts in company strategies affect profitability, stability, and growth. This research provided insights into the management strategies and financial metrics within the information security sector, examining how strategic priorities shape financial health. The findings were as follows. Firstly, companies emphasizing financial strategies in their reports tended to exhibit higher profitability. Secondly, those focusing on customer-oriented strategies also reported greater profitability. Thirdly, companies prioritizing internal processes demonstrated increased organizational stability. Fourthly, an emphasis on learning and growth strategies was associated with lower stability but higher growth potential. This paper contributes to the field by offering a method to quantitatively analyze qualitative textual data, providing a more precise approach to understanding management strategies through direct content analysis of business reports. It also highlights the specific financial and strategic characteristics of information security firms, a relatively under-researched area, thereby offering valuable guidance for these companies in terms of strategic planning.

Advanced strategies for single embryo selection in assisted human reproduction: A review of clinical practice and research methods

Among the primary objectives of contemporary assisted reproductive technology research are achieving the births of healthy singletons and improving overall fertility outcomes. Substantial advances have been made in refining the selection of single embryos for transfer, with the aim of maximizing the likelihood of successful implantation. The principal criterion for this selection is embryo morphology. Morphological evaluation systems are based on traditional parameters, including cell count and fragmentation, pronuclear morphology, cleavage rate, blastocyst formation, and various sequential embryonic assessments. To reduce the incidence of multiple pregnancies and to identify the single embryo with the highest potential for growth, invasive techniques such as preimplantation genetic screening are employed in in vitro fertilization clinics. However, new approaches have been suggested for clinical application that do not harm the embryo and that provide consistent, accurate results. Noninvasive technologies, such as time-lapse imaging and omics, leverage morphokinetic parameters and the byproducts of embryo metabolism, respectively, to identify noninvasive prognostic markers for competent single embryo selection. While these technologies have garnered considerable interest in the research community, they are not incorporated into routine clinical practice and still have substantial room for improvement. Currently, the most promising strategies involve integrating multiple methodologies, which together are anticipated to increase the likelihood of successful pregnancy.

Heterogeneity and wage growth of full-time workers in Japan: An empirical analysis using micro data

In this paper we examine the driving forces of fluctuations in wage growth of full-time workers in Japan, taking into account the heterogeneity of wage structures among the workers and using micro data including those from the Basic Survey on Wage Structure. To this end, we first divide full-time workers into two classes with distinct wage structures, based on a finite mixture model estimated using various characteristics of the workers and the firms they work for. We find that the two classes correspond to what previous studies have called an "internal labor market," where labor is reallocated within firms and wages follow a seniority-based system under long-term employment practices, and an "external labor market," where labor moves across firms and wages are mainly determined by supply and demand factors in the market. We next analyze the effects of economic factors on individual full-time workers' wage growth rates. We show that in the internal labor market, neither labor market conditions at the industry and firm-size level nor the output gap at the macro level have influenced the wage growth rates in recent years at least until 2021, while higher potential growth has increased them. By contrast, in the external and the overall labor markets for full-time workers, improvements in labor market conditions and the output gap have accelerated the wage growth rates, even in recent years.

Skeletonema marinoi ecotypes show specific habitat-related responses to fluctuating light supporting high potential for growth under photobioreactor light regime.

Diatoms are a diverse group of phytoplankton usually dominating areas characterized by rapidly shifting light conditions. Because of their high growth rates and interesting biochemical profile, their biomass is considered for various commercial applications. This study aimed at identifyingstrains with superior growth in a photobioreactor (PBR) by screening the natural intraspecific diversity of ecotypes isolated from different habitats. We investigated the effect of PBR light fluctuating on a millisecond scale (FL, simulating the light in a PBR) on 19 ecotypes of the diatom Skeletonema marinoi isolated from the North Sea-Baltic Sea area. We compare growth, pigment ratios, phylogeny, photo-physiological variables and photoacclimation strategies between all strains and perform qPCR and absorption spectra analysis on a subset of strains. Our results show that the ecotypes responded differently to FL, and have contrasting photo-physiological and photoprotective strategies. The strains from Kattegat performed better in FL, and shared common photoacclimation and photoprotection strategies that are the results of adaptation to the specific light climate of the Kattegat area. The strains that performed better with FL conditions had a high light (HL)-acclimated phenotype coupled with unique nonphotochemical quenching features. Based on their characteristics, three strains were identified as good candidates for growth in PBRs.