High tech manufacturing: Firm size, industry and population density

1994 ◽  
Vol 6 (4) ◽  
pp. 291-297 ◽  
Author(s):  
Ernie Goss ◽  
George S. Vozikis
GeoScape ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 24-35
Author(s):  
Marek Halada ◽  
Jan Ženka

AbstractWe aim to describe and explain current differences in the rate of corporate philanthropy (CP) at microregional level. Primary research question is to what extent are microregional patterns of CP affected by determinants at firm and industry-level (firm size, industrial structure, profitability) and to what extent are they shaped by regional contextual factors. Measurement of CP was based on anonymized firm-level data provided by the Ministry of Finance, aggregated at the level of municipalities with extended powers (microregions). We employed a regression model to test the effects of population density, economic performance, specialization, dependence of manufacturing, firm size, traditional values and social capital. Surprisingly, we found no significant effects of firm size and industrial structure on regional CP. Firm’s profitability was the most important predictor. We found also positive effects of population density and religiosity and negative relationship between CP and regional economic performance. Despite initial expectations higher rate of CP was not found in rural regions.


2018 ◽  
Vol 13 (1) ◽  
pp. 43-67 ◽  
Author(s):  
Vanja Vitezić ◽  
Stjepan Srhoj ◽  
Marko Perić

Abstract The paper investigates the statistical regularities of industry dynamics in a transition economy and its manufacturing industry over a six-year period of recession. The static analysis of distributions supports several established stylized facts on firm size and growth-rate distributions. The growth rate distribution featured a sequential, year-by-year procyclical change of the left side of distribution, suggesting that the more years an economy spends in a recession, the greater the decline in the revenue of its firms. On the “growing” side, the recession opened increasing growth opportunities for a small subset of small firms, while it diminished growth opportunities for medium and large firms. The segregation of sectors by technological intensity gives evidence that the high-tech sectors show upward trend of the growth rate distributions’ right side of as the recession unfolded. Sectorial concentration ratios mostly increased, while changes in the unimodality of the firm-size distribution occurred at the end of the economic downturn


2020 ◽  
Vol 120 (6) ◽  
pp. 1195-1215
Author(s):  
L.M. Daphne Yiu ◽  
Andy C.L. Yeung ◽  
Abe P.L. Jong

PurposeIn this research, we empirically examine the impact of Business Intelligence (BI) systems on operational capability in high-tech sectors. We also seek to understand the contextual factors that facilitate the adoption of BI systems.Design/methodology/approachWe adopt Propensity Score Matching (PSM) and event study methodology, and analyze the financial data for a sample of 144 US firms which adopted BI systems from 2005–2014, and compare them to control firms without BI systems.FindingsWe find that the implementation of BI systems leads to higher operational capability, particularly for large high-tech firms with high technology intensity. We further show that technology intensity and firm size are important contextual factors for firms to reap the benefits of BI systems.Practical implicationsWe demonstrate how benefits from the adoption of BI systems are likely to be strengthened. The benefits of BI systems depend on firms' technology intensity and firm size of high-tech firms. Accessing relevant and timely reports for decision-making is particularly important in the highly dynamic, volatile and competitive high-tech sectors.Originality/valueWe contribute to the literature by providing empirical evidence that the adoption of BI systems can improve firms' operational capability and show that technology intensity and firm size are important contextual factors for firms to reap the benefits of BI systems. We advance the understanding regarding the contextual factors in which firms are more likely to gain additional benefits from their adoptions of BI systems.


2019 ◽  
Vol 12 (2) ◽  
pp. 62 ◽  
Author(s):  
Vu ◽  
Nguyen ◽  
Ho ◽  
Vuong

This study investigates the relationship between firms’ competition, wage, CEOs’ characteristics, and firm performance (measured by net income per employee, return on assets (ROA) and return on equity (ROE)) of Vietnam’s 693 listed firms in 2015 using both the ordinary-least-square (OLS) and quantile regression methods. Triangulating the results coming from the analysis of three different measures of firm performance, this study consistently confirms that the sex of CEOs and chairman turns out to be insignificant in explaining firm performance and there is a negative association between capital intensity and firm performance. For financial firms, the age of a firm and average wage per employee are negatively associated with all types of firm performance. The quantile regression method shows that the age of a firm is negatively correlated with its net income per employee for small firms, while it is insignificant for medium-sized firms. Meanwhile, firm size is positively associated with firm performance. These results indicate Vietnam’s business activities are still concentrating on low labor cost, labor intensive, and low-tech production, thus, policies that promote innovation and high-tech applications should be encouraged.


2019 ◽  
Vol 24 (05) ◽  
pp. 2050044
Author(s):  
BRIAN PAUL COZZARIN ◽  
STANKO DIMITROV ◽  
BONWOO KOO

This study investigates whether organisational innovation has positive impacts on small and medium enterprises, using three waves of the South Korean innovation survey. While correcting for endogeneity, we find that the probability of achieving a process or product innovation conditional on organisational innovation increases in a linear fashion from small to large firms. Moreover, the effects of organisational innovation are more pronounced for process innovation relative to product innovation. We show that R&D performers who implement an organisational innovation have a greater probability of introducing a new product or process. We also show that larger R&D performing firms benefit more from organisational innovation than smaller firms. Finally, we find evidence that high-tech industries benefit more from organisational innovation, in accordance with one of our hypotheses.


2014 ◽  
Vol 43 (3) ◽  
pp. 661-676 ◽  
Author(s):  
Alexandra Tsvetkova ◽  
Jean-Claude Thill ◽  
Deborah Strumsky

2021 ◽  
Author(s):  
Alberto Costantiello ◽  
Laureti Lucio ◽  
Leogrande Angelo

Abstract In this article we investigate the determinants of SMEs Innovation in Europe. We use data from the European Innovation Scoreboard of the European Commission in the period 2000-2019 for 36 countries. Data are analyzed through Panel Data with Fixed Effects, Random Effects, Dynamic Panel at 1 Stage and WLS. Results show that the presence of Innovators is positively associated with “Enterprise births”, “Government Procurement of Advanced Technology Products”, “Firm Investments”, “Intellectual Assets”, “Sales Impacts”, “Share High and Medium High-Tech Manufacturing” and negatively associated to “FDI Net Inflows” and “Population Density”.


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