Research_______________ |
District effect (differential above the mean)___________ |
_____________________________significantly improves firm efficiency ÷ median -2.01 | |
Soler (2000) |
Benefits/active: above the mean in the 4 sectors Productivity (added value/worker): above the mean in 3 |
Hernandez and Soler |
Efficiency - Furniture: -0.20 (statistically non-significant) - Ceramic tiles: 71%___________________________________ |
Brasili and Ricci (2003) |
- ROI: between -37% and 28% - ROE: between 31% and 280% - Productivity: between -13% and 53% - Technical efficiency: between -14% and 37%_________ |
Cainelli and De Liso |
Change in value added in simple ratios: non-innovative Change in value added in econometric regressions |
Becchetti et al. (2007) |
- Exports per worker: 79% - Value added per worker: 37% - Leverage: 119% - Return on investment: -36% - Return on equity: - 162% - Return on assets: 253%_______________________________ |
Botelho and Hernandez |
- Benefits per establishment: 137% - Productivity (added value/worker): 108% - Efficiency: 28%_____________________________________ |
Competitiveness/Exports______________________________________________________ | |
Costa and Viladecans |
Competitiveness (exports/sales): - Positive differential to specialized LPS in 12 out of 21 - Negative in 9 industries^ median: -58%_____________ |
Becchetti and Rossi |
Competitiveness: - Probability of being an exporter: 5% - Export intensity (export/sales): between 179% and 228%___________________________________ |
Bronzini (2000) |
Competitiveness (exports/jobs): 70% of aggregated |
Gola and Mori (2000) |
Revealed competitive advantages (X/X+M): β = 0.0034 |
Innovation___________________________________________________________________ | |
Santarelli (2004) |
Number of patents by firm: - 1986-1990: 82% - 1990-1995: - 52%__________________________________ |
Muscio (2006) |
Product innovation ÷ probability of being an innovative |
Boix and Galletto (2008) |
Innovation (patents per employee): 47%_______________ |
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