The name is absent



For the needs of the present report, we developed a synthetic supply chain index combining the
indicators relating to companies producing fresh and processed fruit and vegetables, wholesalers,
quality signs and the regional economic environment.

Table 3: Composition of the synthetic RVI (SRVI)

Strategic determinants

___________(Score functions)___________

Indicators

Structure and performances of the
fruit and vegetable producers (FF&V)

- Total production of fruit and vegetables, population
growth, average production per farm, investment rate,
subsidy rate subvention, mark-up, labour productivity,
production costs in the “fruit” and “vegetable” sectors
(source: FADEN7)

- Share of fruit and vegetables in regional agricultural
production

- Number of PDO and PGI

Structure and performance of fruit
and vegetable processing companies
(PF&V)

- Size, concentration, growth of turnover, financial
autonomy, asset yield, net mark-up, labour
productivity, cost structures and levels: raw materials,
interests, taxation (Source: AMADEUS)

- Density of fruit and vegetable industries, share in
regional manufacturing industry

Density and quality of the marketing
operators at wholesale level (MKO)

- Number, total turnover, variation in total turnover,
average turnover, gross mark-up, net mark-up,
productivity of fresh fruit and vegetable wholesaler
employees (Source: AMADEUS)

- Number, total turnover, average turnover, personnel,
assets, gross mark-up, productivity, profitability,
financial autonomy of food wholesalers (Source:
AMADEUS)

Conditions of the economic
environment and the regional
institutional situation (WRI)

- Population density, demographic growth

- Growth of GDP, purchasing power,

- R&D spending/GDP (source: EU-Cronos/Regio)

The regional vulnerability index is inversely proportional to the sum of the scores of the four components.
Vulnerability can be seen as the opposite of competitiveness as the score functions are estimators of
regional, sector-based and global economic performance. The SRVI is a relative, rather than absolute,
measurement of competitiveness/vulnerability. The values of each score function included in the SRVI
are calculated in relation to the average for the regions considered. The index is estimated using the
following equation:

IVR = 1/[ (FF&V) x α + (PF&V) x β + (MKO) x λ + (WRI) x θ]
with α, β, λ, θ the weighting coefficients defined by simulation and assessment.

Programming the score function then enables us to define regional vulnerability scenarios according to
the weight given to each coefficient.

7 FADEN: Farm Accounting Data European Network



More intriguing information

1. The name is absent
2. Artificial neural networks as models of stimulus control*
3. Why unwinding preferences is not the same as liberalisation: the case of sugar
4. The Impact of Hosting a Major Sport Event on the South African Economy
5. Pursuit of Competitive Advantages for Entrepreneurship: Development of Enterprise as a Learning Organization. International and Russian Experience
6. Experience, Innovation and Productivity - Empirical Evidence from Italy's Slowdown
7. The name is absent
8. Workforce or Workfare?
9. Individual tradable permit market and traffic congestion: An experimental study
10. Cardiac Arrhythmia and Geomagnetic Activity