Firm Competitiveness Determinants: Results of a Panel Data Analysis

Lalinsky, Tibor

doi:10.2139/ssrn.2548947

Cited by 10 publications

(10 citation statements)

References 18 publications

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“…In their study of Slovak companies, Lalinsky [17] designed a survey and used a firm level dynamic panel data model to investigate the factors affecting firm competitiveness proxied by measures of profitability, productivity, export performance and market share. Using annual data for the period 2001-2009, the authors showed that the profitability of the companies, measured by return on assets is affected by their local market share, perceived energy costs, exchange rate stability, the quality of suppliers, and the use of communications technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Factors Affecting Firm Competitiveness: Evidence from an Emerging Market

Akben-Selçuk

2016

IJFS

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Abstract:The objective of this study is to investigate the factors affecting firm competitiveness in an emerging market-Turkey. In the paper, competitiveness is proxied by a firm's financial performance. The empirical analysis is based on firms listed on Borsa Istanbul and covers the period between 2005 and 2014. Results from a firm-level panel data model indicate that return on assets is positively related to firm size, international sales, liquidity and growth, and negatively related to leverage and R&D expenditures. On the other hand, gross profit margin is positively related to size and international sales, and negatively related to leverage and R&D expenditures. Finally, results show that Tobin's Q ratio is higher for firms with higher levels of debt and higher liquidity levels.

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Section: Literature Reviewmentioning

confidence: 99%

Factors Affecting Firm Competitiveness: Evidence from an Emerging Market

Akben-Selçuk

2016

IJFS

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“…It found out that there is a declining general intensity of competitiveness in selected EU countries except for Austria and Denmark were stable competitiveness had encouraged FDI inflow. Lalinsky (2013) focused on the firm's competitiveness determinants: results of a panel data analysis. The study utilized 200 Slovak companies from 2001-2009.…”

Section: Competitiveness and Sdgsmentioning

confidence: 99%

Global Finance, Competitiveness, and Sustainable Development Goals in Emerging and Least Developing Economies (ELDCs): A Review of Literature

Onuchuku

Amaefule

2020

EUROPEAN J SUSTAINAB DEV

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This paper aims to provide a healthy review of literature on the global imperativeness of the term global finance and competitiveness to achieve Sustainable Development Goals (SDGs). We employed a content analysis method to significantly explore the impact of global finance on financing for sustainable development (FSD) through competitiveness. What are the lessons for ELDCs? From the reviewed literature, we observe that global financing causes a dual impact on competitiveness through the Real Effective Exchange Rate (REER) effects. The study found that global FSD on the informal sector, social and environmental factors, as well as human development, is unarguably silent. Also, there is the multiplicity of function in the global financing mix. From the literature reviewed, we observed a positive link between SDGs, global finance, and competitiveness. SDGs differ across countries because the financing approach on competitiveness differs across countries. Thus, to achieve SDGs in ELDCs, global responses should be developed around improving internal and external competitiveness. These two types of competitiveness would be encompassing. Global financing should be directed to exploring economic, social, and environmental quality in internal and external competitiveness in ELDCs. This classification would deepen the World Economic Forum (WEF) GCI 4.0 based on innovative, efficiency and factors element. Thus inclusive growth and sustainable development could be strengthened through the application of internal and external competitiveness policies that would holistically upgrade the industrial and manufacturing competitiveness frontiers and gains from the global market share frontiers to accelerate SDGs in ELDCs.

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“…Competitiveness at a firm level involves productivity, efficiency and profitability elements (Sancharan, 2011). It is usually measured using such indicators as a firm's productivity, profitability, export performance, brand value and/or market share (Lalinsky, 2013). From the definitions of firm level competitiveness, it can be inferred that a firm's competitiveness rests in its adaptability and ability to realize long-run profit.…”

Section: • Brand Valuementioning

confidence: 99%

“…It is created at the firm-level and emerges from complex patterns of interactions between the government, enterprises and other actors (Lalinsky, 2013). Competitiveness is synonymous with a firm's long-run profit performance, its ability to compensate its employees and provide superior returns to its owners (Garelli, 2014) and it is therefore at the core of the success or failure of the firm (De Wit & Meyer, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…Competitiveness is synonymous with a firm's long-run profit performance, its ability to compensate its employees and provide superior returns to its owners (Garelli, 2014) and it is therefore at the core of the success or failure of the firm (De Wit & Meyer, 2004). It is usually measured using such indicators as a firm's productivity, profitability, export performance, brand value and/or market share (Lalinsky, 2013). Effective entrepreneurs know that establishing and maintaining a competitive advantage is a great challenge and that without careful attention, competitive advantage can be easily lost (Bateman & Zeithaml, 1990).…”

Section: Introductionmentioning

confidence: 99%

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Influence of Business Networking on Competitiveness of Small and Medium Agro Processing Firms in Murang’a County, Kenya

Kinyanjui¹,

Karanja²,

Waititu³

2018

ABR

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The purpose of this study was to analyze the influence of business networking on competitiveness of small and medium agro-processing firms in Murang'a County, Kenya. Most farmers and agro processors in Kenya export semi-processed, low-value produce, some of which they later import as finished products. In order to earn more from their efforts, agro-processors in Kenya must embark on production of consumer ready products that will compete regionally and globally. To attain this competitiveness, the agro-processors must strategically engage in business networks that will greatly influence their competitive success. The choice of the rural county of Murang'a in Kenya was informed by the assumption that the findings of the study can be generalized to suit all the other rural counties of Kenya. Porter's diamond theory of competitiveness guided the study but three other relevant theories were also considered. The study adopted correlation research design to guide the collection, analysis and presentation of data. Questionnaires were the main instruments of collecting data from respondents sampled from 180 agro-processing firms in Murang'a County. Quantitative data was analyzed using SPSS while the qualitative data was subjected to content analysis. The study established that business networking significantly influences the competitiveness of small and medium agro-processing firms in Murang'a County, Kenya since it aided the agro processing firms to improve their brands' value, productivity and profitability. However, the networks that agro processing firms in Murang'a County engaged in were based on trust and not formally established.

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Firm Competitiveness Determinants: Results of a Panel Data Analysis

Cited by 10 publications

References 18 publications

Factors Affecting Firm Competitiveness: Evidence from an Emerging Market

Factors Affecting Firm Competitiveness: Evidence from an Emerging Market

Global Finance, Competitiveness, and Sustainable Development Goals in Emerging and Least Developing Economies (ELDCs): A Review of Literature

Influence of Business Networking on Competitiveness of Small and Medium Agro Processing Firms in Murang’a County, Kenya

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