The main purpose of this paper is to find the differences in the impacts of financial factors on business failure and financial distress. Using the traditional logistic regression method, this paper studies the ability of financial indicators to predict business failure and financial distress of small and mid-sized enterprises in Portuguese high and medium-high technology manufacturing sectors. The research results show that: (1) differences between financially healthy firms and failed firms are more obvious than differences between financially healthy firms and financially distressed firms; (2) the accurate rate of failure prediction decreases with time prolonging (from one year to three years prior to the event), whereas that of financial distress prediction maintains stable at a relatively lower level; (3) profitability is the most important indicator, which is negatively related to the probability of both business failure and financial distress; (4) debt-related and liquidity-related factors (especially indebtedness and general liquidity) are also important in predicting business failure and financial distress. This paper enriches the research literature on the predictions of both business failure and financial distress.
Purpose: The purpose of this paper is to identify the impacts and predictability of financial, accounting-based, and industrial factors (as well as corporate venturing) on survival-based success of newly incorporated firms in Spain.Design/methodology: Logistic regression is used for comparing the differences of factors in the prediction of future success after different time periods since the studying years (age 1, age 2, and age 3 respectively) in manufacturing and distributive sectors.Findings: Differences in predictability are observed between manufacturing and distributive sectors: it is obvious in distributive sector (rather than manufacturing sector) that liquidity, bank credit, trade credit, and concentration are positively related to success while entry rate is negatively related to success. In spite of that, some factors still show strong predictability in both two sectors. Firm size and profitability are the strongest positive factors, which are followed by corporate venturing and the growth of industrial operating revenues with positive and generally negative relationships to success separately. Besides, for some factors and variables frequently showing statistical significance, their impacts in the same age tend to be relatively stable. Practical implications:The findings of this paper can help to identify the predictability of different factors on the success of newly incorporated firms and catch the differences between manufacturing and distributive sectors.Originality/value: This paper enriches the empirical study of new firm success in Spain in depression and stagnant environment (because the observed years here are from 2009 to 2014); besides, the findings also contribute to the specific prediction study of manufacturing and distributive sectors.
Using the logistic model, this article investigates the influence of financial factors on gaining profits for new firms in the Spanish food industry. Specifically, the firms founded separately during the crisis period and during the postcrisis period are observed for their first three years. The findings suggest that indebtedness (for both periods), previous profitability (for the postcrisis period) and accounts payable (for the crisis period) were most frequently statistically significant in the logistic model. Hence, for new firms, controlling debt burden, accumulating internally generated funds and using payables to establish business relationships can help to gain profits. Firm size and asset rotation were significant in the first year (especially during the postcrisis period), with a positive relationship to profits. Given that the food industry is highly competitive, enlarging firm size to reach efficiencies of scale and using a low-price strategy with high asset rotation to obtain market share are effective marketing strategies for new firms. This article contributes to the empirical studies about the financial effects on new firms' profits in the food industry; it can also help potential entrepreneurs make better decisions about starting new businesses and help to manage new firms better in different macroeconomic environments.
The purpose of this paper is to find important financial influential factors to the growth of small and medium-sized enterprises (SMEs) in high technology and medium-high technology manufacturing sectors in Portugal. Using the fixed effects model and the pooled regression model, the impacts of some financial variables in previous year on firm growth are observed. In addition, the total sample is further classified into the young firm group and the mature firm group in order to compare the differences of the impacts at different age stages. The results show that there are more financial factors (such as, receivables, short-term loans, intangibles, long-term debt and industry dummy) impacting on young SMEs compared to mature SMEs, which means that young SMEs tend to be more susceptible. In particular, the impacts of profitability and leverage are constant for both young and mature SMEs; the two factors of trade credit (accounts receivables and payables) are negatively related to growth. By contrast, firm age and GDP show different effects at different age stages. This paper has two main contributions: it can help SME managers identify important financial factors to firm growth and then promote development of SMEs; it also contributes to the empirical studies on SME growth in high technology and medium-high technology manufacturing sectors from financial perspective.
Using the panel data model, this paper studies the influential factors on the capital structure of small and medium-sized enterprises (SMEs) in high and medium-high technology manufacturing sectors in Portugal. In particular, the total sample is further classified into young SME group and mature SME group for observing the similarities and differences. The research results show that firm size, profitability, firm age, and industry sector impact much on the capital structure and debt ratios; on the other hand, the impacts of tangible assets, intangible assets, and growth are not as strong as the previous factors. The differences of the impacts on young and mature SMEs are mainly shown by growth, intangible assets and industry sector. In particular, intangible assets show more statistical significance in young SMEs compared to mature SMEs, and intangible assets tend to be positively related to long-term debt especially in young SME group; this may reflect the positive attitude of financial institutions on the value of intangibles in generating future benefits for high and medium-high technology young firms. Besides, the findings tend to support the pecking order theory more than the trade-off theory regarding the high and medium-high technology manufacturing SMEs here.
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