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Relationship Between Competitiveness And Operational
And Financial Performance Of Firms: An Exploratory Study
On The European Brewing Industry
Introduction Expectation Ecosystem Data Results Conclusion
Similar Technologies
Homogeneous products
Highly Internationalized
Technologies globally
The sector is growing up in all aspects for many consecutives years (Swinnen,2011)
• Many brands were reportedly trying to exploit all possible niche segments
by maturing the markets, developing new tastes and changing the lifestyle of
consumers.
• The global beer market is expected to garner $688.4 billion by 2020.
• From the Amadeus database we can see that in the period between 2015 and 2008,
the equity of companies in the industry has had an average yearly growth of 3.39%, while
the overall revenues have an average yearly increase of 4.93%.
Introduction Expectation Ecosystem Data Results Conclusion
Key Factor in the job creation
• It has been acknowledged as a key actor for job creation and reportedly playing
its part in supporting the delivery of the Europe 2020 Growth Strategy
(Brewers of Europe, 2016).
• The EU is the second largest beer producer in the world, after China.
• There are over 6,500 active breweries, which produced around 383million
hectolitres of beer in 2014 (Kirin Holdings Company, 2014).
The beer industry has made a good and significant contribution to the European
economy.
• This sector 17 is generating an estimated 2.3 million jobs: one job in a brewery generates on
average a two in supply and agriculture, two in retail, and 13 jobs in the bars, pubs, cafés and
restaurants Europe (Brewers of Europe, 2016).
Introduction Expectation Ecosystem Data Results Conclusion
What we found?
• Geographic concentration and growth have been proven drivers of growth in
Europe
• Customers, suppliers and the supply chain are not necessarily correlated to
financial bottom lines.
• Greater market shares are not necessarily correlated to higher equity values.
• The operational structure is not impactful in the competitive environment.
• Assets and balance sheets: bigger seems to be better.
Introduction Expectation Ecosystem Data Results Conclusion
EU
Brewing
Industry
Operational
Performance
Financial
Performance
Competitive
Environment
Introduction Expectation Ecosystem Data Results Conclusion
Introduction Expectation Ecosystem Data Results Conclusion
• H1: Positives changes in the operational
performances will affect positively firm
financial performance in the European
brewing industry.
• H2: Higher competitiveness has a positive
impact in the operational performance of
firms within the European brewing industry.
• H3: Higher competitiveness has a positive
impact in the financial performance of firms
in the European brewing industry.
As a summary, following displays the model, which contains the proposed hypothesis:
Introduction Expectation Ecosystem Data Results Conclusion
Total Firms 214
Countries Companies Concentration
Belgium 24 11%
United Kingdom 37 17%
Ukraine 14 7%
Czech Republic 12 6%
Germany 11 5%
Spain 11 5%
Norway 10 5%
Poland 10 5%
Austria 8 4%
Serbia 5 2%
Italy 6 3%
Others 60 22%
Number Of Employees
> 1000 26 12%
< 1000 173 81%
Rest 15 7%
Sales
>1.000.000 7 3%
0-30.000 87 41%
30.000-90.000 49 23%
90.000-400.000 62 29%
400.000-
1.000.000 9 4%
Details of the companies in the sample
Results:
• There is evidence of a lowly significant relationship, nonetheless existent,
between operational performance and the competitiveness environment.
• Consistent with previous research, (Fynes, De Burca, & Voss, 2005), the supply
chain structure of the industry could be the construct that determines the
competitiveness environment, and not necessarily the businesses that compose it.
• Fixed assets concentration could explain why operationals are not necessarily
impactful in the financial bottom line.
• The interaction between competitiveness to financial performance.
• Competitiveness is a driver in the profitability of firms, and their environment.
Introduction Expectation Ecosystem Data Results Conclusion
Conclusions:
• Competitiveness displayed significant relationships with the financial
performance of the firm.
• Financial leveraging showed to have an inverse correlation with a
growing competitive environment.
• It can be argued that higher access to financing, and lower costs of it,
are significant for the growth of the brewing industry.
• Geographic distribution of the industry, and the country concentration,
shows a regional bias which can either be interpreted as higher barriers
for regional of foreign competitors, or a direct dependency of local
industrial environments.
Introduction Expectation Ecosystem Data Results Conclusion
Introduction Expectation Ecosystem Data Results Conclusion
Recommendations:
• Comparative studies with data sectioned within each individual
economy, in which the sampling or availability of financials is possible.
• This study could be replicated to similar industries such as wines and
spirits.
• The regional segregation must be a consideration, in order to contrast
findings in Europe compared to other high or low income economic
regions.
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Relationship between competitiveness and operational and financial performance of films

  • 1. Relationship Between Competitiveness And Operational And Financial Performance Of Firms: An Exploratory Study On The European Brewing Industry
  • 2. Introduction Expectation Ecosystem Data Results Conclusion Similar Technologies Homogeneous products Highly Internationalized Technologies globally
  • 3. The sector is growing up in all aspects for many consecutives years (Swinnen,2011) • Many brands were reportedly trying to exploit all possible niche segments by maturing the markets, developing new tastes and changing the lifestyle of consumers. • The global beer market is expected to garner $688.4 billion by 2020. • From the Amadeus database we can see that in the period between 2015 and 2008, the equity of companies in the industry has had an average yearly growth of 3.39%, while the overall revenues have an average yearly increase of 4.93%. Introduction Expectation Ecosystem Data Results Conclusion
  • 4. Key Factor in the job creation • It has been acknowledged as a key actor for job creation and reportedly playing its part in supporting the delivery of the Europe 2020 Growth Strategy (Brewers of Europe, 2016). • The EU is the second largest beer producer in the world, after China. • There are over 6,500 active breweries, which produced around 383million hectolitres of beer in 2014 (Kirin Holdings Company, 2014). The beer industry has made a good and significant contribution to the European economy. • This sector 17 is generating an estimated 2.3 million jobs: one job in a brewery generates on average a two in supply and agriculture, two in retail, and 13 jobs in the bars, pubs, cafés and restaurants Europe (Brewers of Europe, 2016). Introduction Expectation Ecosystem Data Results Conclusion
  • 5. What we found? • Geographic concentration and growth have been proven drivers of growth in Europe • Customers, suppliers and the supply chain are not necessarily correlated to financial bottom lines. • Greater market shares are not necessarily correlated to higher equity values. • The operational structure is not impactful in the competitive environment. • Assets and balance sheets: bigger seems to be better. Introduction Expectation Ecosystem Data Results Conclusion
  • 7. Introduction Expectation Ecosystem Data Results Conclusion • H1: Positives changes in the operational performances will affect positively firm financial performance in the European brewing industry. • H2: Higher competitiveness has a positive impact in the operational performance of firms within the European brewing industry. • H3: Higher competitiveness has a positive impact in the financial performance of firms in the European brewing industry. As a summary, following displays the model, which contains the proposed hypothesis:
  • 8. Introduction Expectation Ecosystem Data Results Conclusion Total Firms 214 Countries Companies Concentration Belgium 24 11% United Kingdom 37 17% Ukraine 14 7% Czech Republic 12 6% Germany 11 5% Spain 11 5% Norway 10 5% Poland 10 5% Austria 8 4% Serbia 5 2% Italy 6 3% Others 60 22% Number Of Employees > 1000 26 12% < 1000 173 81% Rest 15 7% Sales >1.000.000 7 3% 0-30.000 87 41% 30.000-90.000 49 23% 90.000-400.000 62 29% 400.000- 1.000.000 9 4% Details of the companies in the sample
  • 9. Results: • There is evidence of a lowly significant relationship, nonetheless existent, between operational performance and the competitiveness environment. • Consistent with previous research, (Fynes, De Burca, & Voss, 2005), the supply chain structure of the industry could be the construct that determines the competitiveness environment, and not necessarily the businesses that compose it. • Fixed assets concentration could explain why operationals are not necessarily impactful in the financial bottom line. • The interaction between competitiveness to financial performance. • Competitiveness is a driver in the profitability of firms, and their environment. Introduction Expectation Ecosystem Data Results Conclusion
  • 10. Conclusions: • Competitiveness displayed significant relationships with the financial performance of the firm. • Financial leveraging showed to have an inverse correlation with a growing competitive environment. • It can be argued that higher access to financing, and lower costs of it, are significant for the growth of the brewing industry. • Geographic distribution of the industry, and the country concentration, shows a regional bias which can either be interpreted as higher barriers for regional of foreign competitors, or a direct dependency of local industrial environments. Introduction Expectation Ecosystem Data Results Conclusion
  • 11. Introduction Expectation Ecosystem Data Results Conclusion Recommendations: • Comparative studies with data sectioned within each individual economy, in which the sampling or availability of financials is possible. • This study could be replicated to similar industries such as wines and spirits. • The regional segregation must be a consideration, in order to contrast findings in Europe compared to other high or low income economic regions.
  • 12. Q&A