Study on the economic impact of the utility model legislation in selected Member States.
Sector: Power Transmission
Source: Single Electronic Data Interchange Area (SEDIA)
The Commission intends to obtain updated information and analysis on the economic effects of UMs (and their absence, when UM protection is not available in a particular EU MS) on companies, innovators and jobs, and per technical/economic sectors in the selected MS. The Commission is also interested in deeper analysis of the interrelation between utility models and patents.The study would be an inp
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The Commission intends to obtain updated information and analysis on the economic effects of UMs (and their absence, when UM protection is not available in a particular EU MS) on companies, innovators and jobs, and per technical/economic sectors in the selected MS. The Commission is also interested in deeper analysis of the interrelation between utility models and patents.The study would be an input for a reflection on the optimisation of the EU IPR system in the period 2014–2016. The Commission aims to optimise the 'tool-box' available for innovators to encourage and protect their innovation activities. Innovation is of utmost important for EU economic growth and job-related strategies.The study would contribute to helping the Commission decide on an appropriate way forward on the issue of harmonisation and/or unitary protection of utility models in the internal market. The results could constitute the basis for any impact assessment of Commission legislative proposals on utility models within the period 2014–2016. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
