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New technologies, potential unemployment and ‘nescience economy’ during and after the 2020 economic crisis
The Russian Presidential Academy of National Economy and Public Administration|Russian Foreign Trade Academy
abstract coronavirus pandemic economic crisis 2020 accelerating digital transformation crisis opportunities needs remote work facilities online services delivery drones etc discuss unmanned technologies cause longterm employment decrease compensation mechanisms may work using internationally comparable freyosborne methodology estimated less third employees russia work professions high automation probability professions suffer quarantine measures employment traditional services significantly reduced 2030 half jobs world little less russia need adapt fourth industrial revolution engaged routine potentially automated activities regions specializing manufacturing value higher lowest risk largest agglomerations high share digital economy greater diverse labour markets accelerating technological change lead longterm mismatch exponential increase automation rate compensating effects retraining new jobs creation labour market adaptation mechanisms people ready lifelong learning competition robots accordingly possibility technological exclusion term nescience economy corresponding assessment method proposed using econometric model identified factors reduce risks human capital concentration favourable business climate high quality life ict development based factors recommendations authorities proposed conclusion