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Benchmark Study 1

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IPP 1st BENCHMARK REPORT<br />

By stimulating urban-rural partnership it will be possible to ensure more equal life and work conditions,<br />

access to and quality of basic services, as well as mobility possibilities in both cities and the countryside.<br />

Reduction of the risk of structural unemployment<br />

Unemployment rate in Latvia is currently one of the highest in the EU. In 2010, the average share of<br />

job-seekers in Latvia was 18,7%. The share of long-term unemployed in the total number of registered<br />

unemployed compared to the previous years has increased significantly – from 11% at the end of 2008<br />

to 27.3% at the end of June 2010. Long-term unemployment could lead to high risks of structural unemployment<br />

negatively affecting labour skills and motivation to integrate in the labour market.<br />

Table 1. Employment target’s achievement trajectory<br />

2008 2009 2010 2015 2020<br />

Number of population 1400.3 1403.9 1405.3 1390.4 1322.1<br />

(aged 20–64)<br />

Number of employed 1061.1 941.9 907.5 958.4 965.1<br />

(aged 20–64)<br />

Employment rate, % 75.8 67.1 64.6 68.9 73.0<br />

Additional investments in training of the unemployed for improvement of qualification and other activation<br />

measures will be therefore of crucial importance. Improved link between active labour market programmes<br />

(ALMPs) and other social services like social benefits will be of importance for reducing risks<br />

of structural unemployment.<br />

Key policy directions and measures for reduction of the risk of structural unemployment:<br />

o Improvement of lifelong learning system (offering flexible vocational education programmes etc.);<br />

o Further development of the ALMPs (analyzing best practice examples and approaches to implementing<br />

ALMPs in other countries; improving service delivery systems to the unemployed and<br />

other economically active by introducing new service provision systems like “training vouchers”<br />

with accompanying performance monitoring; further developing ALMPs for the most vulnerable<br />

groups of unemployed;<br />

o Structural changes in vocational education (optimization and differentiation of vocational education<br />

institutions’ network, modernization of training equipment and improvement of infrastructure<br />

for implementation of vocational education programmes and for ensuring preparation of secondary<br />

professional qualification specialists required in the labour market);<br />

o Modernization of higher education (improving financing system of higher education, by introducing<br />

a performance-based financing model of higher education and science with the aim to ensure<br />

Page 75<br />

www.i-p-p.eu

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