GDP In Countries Research Articles

Exploring the pathways accounting: Foreign direct investment as a catalyst for idiosyncratic risk, sectoral GDP, economic activity, and economic growth

This study examines the interaction between foreign direct investment (FDI), idiosyncratic risk, sectoral GDP, economic activity, and economic growth in ASEAN countries using structural equation modeling (SEM) performed using AMOS software. The analysis uses data from the ASEAN Statistics Database 2023 to distinguish the significant direct and indirect impacts of FDI on idiosyncratic risks, sectoral GDP, economic activity and aggregate economic growth can. ASEAN, which includes ten Southeast Asian countries, has experienced rapid economic growth and increasing integration in recent decades, making it an interesting area to study these relationships. The study covers a comprehensive period to capture trends and differences among ASEAN member states. Applying SEM with AMOS allows a detailed examination of complex relationships between important economic variables. The results show a clear link between FDI inflows, idiosyncratic risks, industry GDP performance, economic activity, and overall economic growth. More specifically, FDI inflows have a notable direct influence on idiosyncratic risks, which then impact GDP growth by sector, and the level of economic activity and ultimately contribute to economic growth trends. economy more broadly in ASEAN countries. These findings highlight the importance of understanding and effectively managing the dynamics between FDI and various economic indicators to promote sustainable economic development across ASEAN. This information can inform policymakers, investors, and stakeholders in developing targeted strategies and policies that maximize the benefits of FDI while minimizing related risks to promote strong and inclusive economic growth in the region. This study highlights the multifaceted relationships in the ASEAN economic context, emphasizing the need for strategic interventions and policy frameworks to exploit the potential of foreign investment directed at ASEAN, to the Sustainable Development Goals and long-term economic prosperity in the region.

India-Vietnam Bilateral Trade and Investment Relations: An Empirical Analysis

The relations between India and Vietnam have been strengthening in both social and economic aspects. The bilateral trade and investment relations between the two countries are on an upward trend. In this context, the present paper analyzes the trade intensity between India and Vietnam and provides an overview of the investment relations. The study also examines the impact of the host country's GDP and exchange rate on the home country's export level for both India and Vietnam using the Multilayer Perceptron Neural Network technique of Artificial Neural Network. The main findings of the study show that before 2017, India's exports are more intensive than imports with Vietnam and Vietnam's imports are more intensive than exports with India. However, since 2017, this trend is slightly reversed and Vietnam's exports are more intense than imports with India. Furthermore, it is found that the host country's GDP and exchange rate have a significant impact on India and Vietnam's bilateral exports.

Bitcoin as a National Currency: A Case Study for the Czech Republic

In an era of changing financial landscapes, the position of cryptocurrencies like Bitcoin as possible national currencies is worth investigating. This study investigates Bitcoin's adherence to currency criteria and its consequences for GDP development in a certain country. The mining industry plays a significant role in the GDP of many countries. The extraction of raw materials such as metals, minerals, and fossil fuels is essential for producing a wide range of goods and services. This generates jobs and tax revenues and supports economic growth. Understanding these processes is critical, given the ongoing debate about Bitcoin's place in modern economies. This research looks into Bitcoin's usefulness as a currency and its possible influence on a certain country's GDP. The results show that Bitcoin fits the requirements for money, acting as a means of exchange and a store of value, with features including mobility, divisibility, commensurability, and fungibility. When examining its influence on GDP, empirical data indicate that, while currency appreciation may provide the illusion of stronger GDP growth when denominated in foreign currency, it damages growth domestically. According to a neural network study, Bitcoin's large impact on GDP renders it unsuitable for use as a national currency in the Czech Republic. Despite matching currency criteria, Bitcoin's adoption confronts problems such as volatility, a lack of central authority, and its worldwide nature, which limit its usefulness in promoting national economic growth. This analysis emphasizes country selection and length restrictions, finding that Bitcoin's existing position as an investment instrument restricts its viability as a national currency.

The Impact of Oil Prices on the GDP of V4 Countries

This study is concerned with forecasts of GDP growth for the Visegrad countries (V4-hereafter) and oil prices simultaneously. The series for GDP and Oil prices are quarterly, covering the period from December 1, 2000, to October 1, 2023. Neural network techniques were performed to generate individual forecasts. The forecasts for oil prices maintain higher accuracy than the GDP ones due to autoregressive lags. In other words, current oil prices absorb significant influence from past prices. The GDP forecasts for the V4 group indicate tremendous shock and moving growth to a lower steady state. The lower growth observed by the end of the period under review can be attributed to two subsequent non-economic shocks: the Russia-Ukraine war and the COVID-19 pandemic. The V4 countries faced difficulties after the outbreak of COVID-19, mainly due to the stringency measures. In addition to accelerating inflation, the war also disrupted energy commodities within supply chains. These and other facts justify the low growth that awaits these countries until 2028. Ultimately, the oil price until 2028 is estimated to oscillate between $60 and $90 per barrel.

Bibliometric Analysis of Publications on Action Recognition; Convolutional Neural Network; Video Surveillance During 2011-2021

Action recognition based on convolutional neural networks (AR-CNN) has been developing rapidly in recent years. It is of great significance to conduct a deep analysis to understand the recent development of AR-CNN. However, a limited study examining the research status of this field could be found. Therefore, this study aims to quantitatively assess the publications related to the SciVal topic "Action Recognition; Convolutional Neural Network; Video Surveillance (T.561)" in computer vision research. This study focused on six aspects: literature distribution characteristics analysis, the development trend, citation analysis, collaborative analysis, keyword analysis and thematic evolution, using VOSviewer and Bibliometrix. The relevant publications were retrieved from Scopus in the period 2012–2021. A total of 6633 publications were identified by 9088 different authors, 62% were conference papers, and 35% were research articles. China and the USA contributed 39.7 % and 17.9 % of the total publications, respectively. The authors' production according to Price's Law was inconsistent but consistent according to Lotka's Law. Ling Shao was the most productive author, with 48 papers (%0.7). Chinese Academy of Sciences was the most productive affiliation, with 259 papers (%3.9). The first Bradford site consisted of Computer Science Lecture Notes with 617 publications. A moderately significant correlation was revealed between the country's publications and GDP per capita. The overall results show that the number of AR-CNN-related documents has increased significantly in recent years, with rapid growth from 2016. Although publications on AR-CNN were published mainly in European journals, China led the scientific production.

Transformation of land relations in agriculture of the Republic of Kazakhstan: the impact of institutional changes on economic development

Since Kazakhstan gained independence, transformation of land relations in agriculture has been inextricably linked with waves of privatization and introduction of market principles of management. The goal is to study the impact of institutional changes on the process of reforming land resources in agricultural sector of the republic. The methods are based on materials from domestic and foreign analytical reviews, scientific publications, regulations relating to the land issue, and program strategic documents. Quantitative and graphical methods were used to analyze the consequences of institutional reforms in agro-industrial complex in terms of property reorganization, land use, and contribution of agricultural production to the country's GDP. Results - it is substantiated that the breakup of production, logistics and other necessary connections in the first years of Kazakhstan’s independence became a difficult test for agriculture and the loss of significant investments in the gross domestic product by this industry. Modern reality required building new market rules, regulated by the state within the framework of laws. The main stages of regulatory changes that influenced land legal relations in agricultural sector are given. The consequences of past reforms related to the land issue are presented, problems and challenges facing the development of agro-industrial complex of the republic are identified, and recommendations are offered to improve the current situation. Conclusions - it should be understood that the quality of adopted regulations reflecting property rights, including land legislation, directly affects socio-economic and environmental situation, which shows the importance of the institutional system for the economic development of the country, formation of effective socio-economic structure of agricultural sector.

Impact of Ownership-Location-Internalization (OLI) Paradigm and Investment Development Path (IDP) on Gravity Model of Foreign Direct Investments in Eastern Europe and Central Asia (EECA) Region

This study investigates the impact of OLI paradigm and the IDP on the gravity model of FDI in EECA region. Using panel data from 1995 to 2017, the analysis employs POLS, Fixed Effects, and Random Effects estimation methods to examine the determinants of FDI inflows. The results highlight the significance of the receiving country's GDP and labour market quality as the most consistent and statistically significant factors influencing FDI inflows. The distance between source and receiving countries also exhibits a negative relationship with FDI flows. Other variables, such as the source country's GDP, tertiary education, institutional governance, taxation, infrastructure, foreign exchange rates, and labour costs, do not show consistent or statistically significant effects across the estimation methods. The Fixed Effects model demonstrates the highest explanatory power, suggesting its suitability for capturing the variation in FDI inflows. These findings contribute to understanding the determinants of FDI and provide insights for policymakers and investors. Countries aiming to attract FDI should focus on promoting economic growth, improving labour market conditions, and reducing perceived distances between source and receiving countries.

Comparative analysis of the reliability assessment of commercial and residential feeders in the power distribution utility of Nigeria

Reliability studies serve as valuable tools for assessing and optimizing system performance. Utilities with higher reliability indices are more likely to achieve break-even points due to significantly reduced downtime. This paper explores a comparative assessment of two 11 kV feeders supplying electricity to residential and commercial customers, addressing concerns about distribution system reliability in Nigeria and its impact on the country's GDP. The study involves a comprehensive reliability analysis, utilizing a flowchart to outline procedural steps and employing the ETAP Software program for data analysis collected over a one-month period from a power utility company. The data encompass operational parameters such as day-hourly consumption, outage records, and network equipment data. Results indicate higher reliability indices in the commercial feeder compared to the residential feeder, with the Customer Average Interruption Duration Index (CAIDI) being lower in the commercial feeder. The research underscores the significance of reliability assessment in improving operational efficiency, facilitating maintenance planning, and enhancing customer satisfaction.

Sustainable Development of European Countries: The Climate Component

This article provides a cause-and-effect analysis of the impact of carbon emissions on climate change and on the sustainable development of European countries. Despite the consolidated efforts of the world community, the global amount of greenhouse gas emissions is not decreasing, leading to irreversible climate change. The objective of this paper is to explore Europe’s progress towards climate neutrality in the context of ensuring sustainable development and achieving the goals of the European Green Deal. The article aims to establish an econometric relationship between the amount of carbon emissions and the energy intensity of GDP based on statistical data from European countries, and using the example of Ukraine during a full-scale invasion to demonstrate factors that influence greenhouse-gas- emissions growth despite GDP. A significant aspect of this study is an analysis of data from 2012–2022, which indicates that Europe has reduced CO2 emissions and is successfully moving towards climate neutrality. Key efforts of EU countries in preventing climate change and transitioning to renewable energy sources are reflected in the context of the Green Deal. Based on econometric calculations, the direct relationship between the amount of carbon emissions and energy intensity of GDP in European countries was confirmed with a probability of 0.95. The obtained interdependence allows one to predict the amount of CO2 emissions based on known values of energy intensity of GDP during stable economic development. Special attention was paid to Ukraine and the increase in CO2 emissions due to the war. The authors concluded that the war disrupted the relationship between GDP and CO2 emissions, leading to a 23% increase in emissions in 2022. Overcoming the climate crisis and ensuring sustainable development requires a global decarbonisation strategy. However, effective climate policy is impossible without achieving peace.

Advancements in Green Materials for Concrete in South East Asia: A Mini Review

The rapid growth in the global population necessitated an increase in construction activities to provide shelter for humans, consequently driving the construction industry's significant contribution to the GDP of ASEAN countries. This study specifically examined the utilization of green materials for concrete in Singapore, Malaysia, Indonesia, Thailand, and Vietnam. Construction, being a material-intensive sector, consumed vast amounts of natural resources and generated substantial waste and harmful emissions, posing significant environmental challenges. In response, sustainable development initiatives were prioritized across ASEAN nations to address these issues. Governments and relevant authorities implemented various strategies to promote sustainable practices in construction, including providing financial support to both public and private sectors. Among these practices, the adoption of green materials for concrete stood out as a promising approach for sustainable development in the construction sector. By incorporating recycled aggregates, supplementary cementitious materials (SCMs), and other environmentally friendly alternatives, these countries aimed to reduce resource consumption, minimize waste generation, and mitigate environmental impact. Embracing sustainable construction practices not only promoted environmental stewardship but also contributed to long-term economic viability and social well-being in the ASEAN region.

Disparities and outcomes of immune checkpoint inhibitor therapies in LMICs: Retrospective study on current state, efficacy, and challenges in Armenia.

e23315 Background: The escalating incidence of cancer in Armenia is a global trend, underscoring the urgency for innovative treatments, including immune checkpoint inhibitors (ICIs). This study, a first in the region, investigates ICIs' real-world impact, emphasizing the current state and critical gaps in access to care. Methods: We conducted a retrospective review of 224 patients, excluding 32, resulting in 192 patients treated with ICIs between 2017 and 2023 across four major oncology centres. The review covered demographic and clinical data, genetic testing, treatment regimens, and survival outcomes, analyzed using the STATA 18 BE. Results: The mean age of the patients was 61.4 years, with 69.27% being male. Lung cancer was the most common diagnosis (42.19%, n = 81), followed by melanoma (11.98%, n = 23) and gastric cancer (10.94%, n = 21). Survival outcomes varied, with melanoma patients exhibiting a mean overall survival (OS) of 33.26 months, lung cancer patients 19.69 months, and gastric cancer patients 20.50 months; the survival difference between patients with metastases and without was not statistically significant. Patients receiving ICIs in the second or later lines of treatment had a 2.12-fold lower chance of survival compared to those receiving them as first-line treatment (95% CI 1.16-3.88, p = 0.014). 78% of patients received ICIs in the metastatic setting and only 22% in curative. In two centres, among 185 patients with metastatic lung cancer, only 23.2% (43 patients) received ICIs, and of these, about 50% underwent mutation testing, with only 4 assessed via broad panel NGS. A significant 76.8% (142 patients) did not receive immunotherapy. Furthermore, 34% of those starting ICI treatment were forced to discontinue due to financial hardships. Pembrolizumab and Nivolumab were the most widely used agents, but the choice varies significantly between centres. Conclusions: The financial barrier is substantial: the cost of one pembro cycle on the black market, at $3,000, is 3.8 times the annual income of those at the national poverty line, more than twice the income of the lower middle-income class, and represents over 60% of the country's GDP per capita. Median cycle lengths for ICIs, such as 6.5 for Ipil+Nivo and 5.61 for Pembro, are below the NCCN's standard recommendations, highlighting the profound impact of financial constraints on treatment adherence and duration. This study reveals the stark reality of ICI accessibility and affordability in Armenia, where a significant portion of cancer patients are unable to benefit from these potentially life-extending treatments. Additionally, a preference bias towards selecting treatments without nationwide guidelines was observed, alongside the absence of a national E-health database, underscoring the need for policymaker attention, insurance adjustments, and more precise, prospective data collection.

Emerging technology adoption for sustainable agriculture in India– a pilot study

Agriculture is an extremely important sector in the economic growth of countries. In India, agriculture serves over 70 percent of the country's population and contributes approximately one-third of the country's GDP. Agriculture-related problems have continuously acted as a roadblock to the nation's progress toward its full potential. The only viable solution to this issue is to practice sustainable agriculture, which involves bringing traditional agricultural practices up to date. As a result, the initiative intends to utilise automation and Internet of Things technologies in order to make farming smarter. The main objective of this study is to present outcomes for decision-making for improved productivity, agricultural growth, and sustainability of farms for quality food production and food security. For the purposes of this study, the reference period of the data that will be covered spans from January 2015 to December 2019. The R programming language and the R Studio integrated development environment (IDE) are the tools utilized in the processing and analysis approach. This paper analyzed the underlying factors for the agriculture sector to integrate with emerging technologies. This research study identifies major factors for farmers to adopt new emerging technologies to enhance productivity through improved farming processes. Additionally, it recommends improving infrastructure, expanding internet access to rural areas, and encouraging collaborative platforms to boost agricultural technology innovation and knowledge exchange.

China's post-pandemic energy rebound and climate targets under the current regulations and green innovation capacity

During the pandemic, China observed a minimum decline in energy demand and carbon dioxide emissions among major economies. Infact the post-pandemic trajectories show a significant rebound, raising concerns over its ability to achieve climate pledges. Thus, using annual data from 1990 to 2020, this study empirically examines the effect of environmental regulations on China's low-carbon economy through a clean energy transition with potential implications for China's economic growth. Assuming the asymmetries in the effect, the Quantile based Auto-Regressive Distributed Lag model is used for long- and short-run analysis. The study finds that the stricter environmental regulations are paying off the country economically and environmentally with some short-term adjustments. However, owing to continued growth-intensive policies, renewables are unable to catch-up with the country's growing energy demand despite a remarkable increase. Thus, the country must rely on fossil fuels (especially Coal) unless further policy reforms are made to achieve breakeven. With a significant positive effect on GDP and a negative effect on carbon emissions, green innovation helping China in reducing the trade-offs between environmental and development sustainability. Moreover, imports help in developing green technologies while exports remain a significant factor in the country's GDP. In a nutshell, China needs stricter environmental regulations to achieve climate commitments.

Mechanization in Moriculture

In India, mechanization has emerged as the key component of modern agriculture because of factors like rising demand, declining production, a manpower shortage, etc. Improving farmers understanding of farm mechanization is crucial to maintain sustainability in the agriculture industry. The primary obstacles to farmers adopting mechanical alternatives are ignorance and limited resources, including land, labor, and equipment. The aim of this research is to examine the necessity and obstacles of agricultural mechanization, as well as the present advancements in this domain in India. According to the study's findings, India's agriculture produces 18.3% (2022-23) of the country's GDP. Nonetheless, 58% of people in the population make their living from agriculture. Tractor sales and demand, power tiller sales, and farm power availability are all rising year on year. This brings us to the conclusion that it is critical to use mechanical agricultural alternates. This report outlines some of the issues with agricultural mechanization as well as steps that should be made to raise awareness and promote farm mechanization.

Micro, Small, and Medium-Sized Enterprises (MSMEs): The Significant Role and Challenges in Indonesia's Economy

Abstract: Research Aims: The study aims to investigate how MSMEs—micro, small, and medium-sized enterprises—substantially impact Indonesia's economy. Methodology/design and approach: The design, methodology, and approach of this research entail an investigation of the noteworthy impact that micro, small, and medium-sized enterprises (MSMEs) have on Indonesia's economy. The strategy uses data to back up the assertion that MSMEs are the engine of Indonesia's economy, employing more than 97% of the labour force and adding more than 61% to the nation's GDP. The categorisation of companies based on their size and assets is investigated, demonstrating the numerical dominance of micro businesses to shed light on the structure of MSMEs in Indonesia; it emphasises how MSMEs perform comparatively poorly in exports, underscoring the necessity of improving their integration into international supply networks. Most of Indonesia's economic environment comprises Micro, Small, and Medium-Sized Enterprises (MSMEs), making this sector a powerful force. This article explores how MSMEs significantly influence Indonesia and provides data to support this claim. MSMEs are the backbone of Indonesia's economic activity, employing over 97% of the country's workforce and providing more than 61 per cent of the country's GDP. Their share of the economy may appear little initially, even though they comprise 99 per cent of all businesses. Still, their reputation as crucial economic agents is cemented by their indispensable role in delivering basic commodities and services to urban and rural communities. The framework of MSMEs in Indonesia is further clarified by examining how businesses are classified according to their assets and size. Larger organisations have more resources and clout, while micro businesses predominate numerically. However, MSMEs need help beyond their financial relevance. It is imperative to address integration hurdles to promote innovation and productivity and to increase MSMEs' contribution to Indonesia's economic growth; policymakers can ensure that MSMEs continue contributing to Indonesia's financial resilience and prosperity by realising their critical role and tackling current obstacles. It will allow MSMEs to reach their full potential.

HEIR APPARENT PREPAREDNESS AND SELECTED FAMILY BUSINESS SUSTAINABILITY IN LAGOS STATE NIGERIA

Family-owned businesses are extremely important to Nigeria's economy, creating jobs, generating income, and helping the country's GDP increase. However, the Heir Apparent's readiness to take on leadership responsibilities poses a threat to their sustainability. Myriads of research on family businesses and their sustainability exist, but little of it has looked at heir apparent as a factor of sustainability. By analyzing the relationship between heir apparent preparedness and the sustainability of selected family-owned firms in Lagos State, Nigeria, this study seeks to bridge the gap in literature. Drawing on a deductive methodology, the study employs a cross-sectional survey to gather quantitative data. Responses from 388 family-owned enterprises were obtained using a questionnaire. Data were analyzed by applying SPSS package, version 25. The findings reveal significant positive relationships between Heir Apparent Level of Education, Heir Apparent Experience, and Quality of Mentorship Received by Heir Apparent, and their joint effect with family business sustainability. It was thereby concluded that heir apparent level of preparedness impacts the sustainability of family businesses in Lagos State. The study recommends prioritizing formal education, providing diverse experiential learning opportunities, and establishing strong mentorship programs to enhance family business sustainability.

ІННОВАЦІЙНІСТЬ ТА ПЕРЕДОВІ ТЕХНОЛОГІЇ В УКРАЇНІ ТА КРАЇНАХ СВІТУ

The article examines the leading indicators of socio-economic development of individual countries, including the share of GDP of individual countries in the world GDP, the share of the country's population in the world population, GDP per capita, and expenditures on R&D. It was determined that a larger share of GDP per capita allows for an increase in gross domestic spending on R&D, % of GDP. Ukraine has the lowest gross domestic expenditure on R&D compared to the analyzed countries, only 0.29% of GDP. While for China, this indicator is equal to 2.433%, for Hungary – 1.642%, and for Germany – 3.129%. A comparison of the position of Ukraine according to the components of the Global Innovation Index, which corresponded to other countries at different stages of economic development, made it possible to obtain the following results. First, Ukraine needs to catch up in all components with developed countries. Second, Ukraine can compete on the components of the innovation index with some newly industrialized nations, such as Mexico and South Africa. Third, Ukraine dominates the least developed countries in the components of the Global Innovation Index. Also, we analyzed the opportunities for frontier technologies in Ukraine and other countries. According to this index, Ukraine ranks 58th among 166 countries surveyed. The five countries, including the United States of America, Sweden, Singapore, Switzerland, and the Netherlands, are leaders. China took 35th place. According to the components of this index, Ukraine already has a good position in terms of information and communication technologies and skills – however, R&D, industry, and finance remain weaknesses. So, during the study, "bottlenecks" were identified. Insufficient support for R&D and low costs restrain the innovative development of Ukraine.

Commentary: Customer-Perceived Innovation: Considerations for Financial Performance and Methodological Approaches

As firms increasingly uncover their activities to key stakeholders through various media, the perception of these activities is becoming more important for firm performance. Traditionally, access to industry-wide databases provides important metrics on customer perceptions of performance, such as customer satisfaction and brand equity. In addition, numerous studies have highlighted firms' innovation-related actions (e.g., R&D spending and patent counts) as critical metrics linked to their financial performance. Perceived Firm Innovation (PFI) emerges as a relatively new and under-studied metric with the potential to impact a firm's financial success. Keiningham et al. are among the pioneers in this area. This commentary views their article as a vital initial step in understanding PFI’s impact. Considering that the service sector accounts for over 70 percent of the GDP in any developed country, service innovation is a broad phenomenon. Given the breadth of the area, we point to the challenge of capturing this phenomenon with a single metric like PFI. We also discuss crucial methodological considerations for future research, including estimation methods, sample size, and financial metrics.

Institutional effects on family business internationalization: a systematic review

Abstract Family firms play a vital role in the global business landscape, significantly impacting their home countries GDP. These firms diverge from non-family counterparts in their internationalization strategies, yet they stand to gain substantial benefits from international expansion. Beyond economic considerations, family resources and values introduce non-economic factors that challenge traditional economic theories. This study leverages an institutional approach to illuminate the multifaceted influences shaping family firms’ internationalization, encompassing positive and adverse dynamics. The integration of institutional theory marks a recent shift in understanding family firm internationalization, encompassing institutional and economic geography perspectives. To foster discourse and guide future research, this paper systematically reviews peer-reviewed articles covering over a decade, from 2010 to 2023. It identifies formal and informal institutional elements, alongside economic geography factors, that either facilitate or impede family firms’ internationalization. This review underscores existing knowledge gaps at the nexus of institutional theory, economic geography, internationalization, and family business studies. Notably, the systematic literature review uncovered a limited corpus of only 41 articles, indicating the need for more research exploring the synergy between economic geography and institutional factors in the context of diverse internationalization strategies. Furthermore, the review highlights the underexplored terrain within social institutions and economic geography, revealing a notable gap in the extant research.

Economic analysis of the IT market in Romania. Case study for Intel Corporation

The paper explores the IT industry in Romania, which has experienced steady and sustainable growth, according to the Employers' Association of the Software and Services Industry (ANIS). Industry value increased from €4.6 billion in 2015 to over €9 billion in 2022, contributing 7% to the country's GDP. Bucharest owns 60% of the market, followed by Cluj with 18%. In this respect, this paper focuses on the economic analysis of a large company operating on the Romanian market, Intel. It also follows the analysis of the business from the market point of view in comparison with the other company that has a large share in the market, AMD. Keywords: Market Research, Microprocessors, Intel, AMD, Information Technology