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Building the Right Skills for Human Capital : Education, Skills, and Productivity in the Kyrgyz Republic (Inglês)

This is a conference edition for publication expected in November 2020. Building the Right Skills for Human Capital summarizes the findings from the 2019 skills survey for the adult Kyrgyz population. The skills measures used in the survey focus on literacy, numeracy, and problem solving in technology rich environments (PSTRE) and followed the same questions and approach as the OECD’s PIAAC surveys. Most jobs in the Kyrgyz Republic require regular use of reading, writing, numeracy, and ICT skills, and higher skilled groups of people earn higher wages, suggesting that the labor market rewards higher skills. However, skills levels among the workforce are consistently low in absolute terms, among varying sociodemographic groups, and relative to countries that implemented PIAAC surveys. Results are not improving across cohorts, except for PSTRE. There is evidence that a substantial share of people is over schooled, but under skilled. The lack of quality of education is an important driver for low skills performance. The report finds that higher levels of education are associated with higher skills levels, but even among the most educated, a large share has low skills scores, which helps explain why we find that a large share can be overeducated but under skilled for the jobs they occupy. Skill levels of secondary school teachers were also assessed. Teachers outperform the general population in both literacy and numeracy but underperform compared to professionals. Overall, one-third of teachers still have low proficiency in literacy and numeracy. With regards to ICT skills, the results suggest that nearly all secondary school teachers are currently not well equipped to impart ICT skills on their students. The book concludes with a series of policy recommendations at different levels of education, from early childhood education through life-long learning, including providing upskilling opportunities for those teachers with specific skill deficiencies.

Detalhes

  • Autor

    Hou,Dingyong, Acevedo Gonzalez,Karina Margarita, De Laat,Joost, Larrison,Jennica

  • Data do documento

    2021/06/14

  • TIpo de documento

    Publicação

  • No. do relatório

    153239

  • Nº do volume

    1

  • Total Volume(s)

    1

  • País

    Quirguistão,

  • Região

    Europa e Ásia Central,

  • Data de divulgação

    2021/06/14

  • Disclosure Status

    Disclosed

  • Nome do documento

    Building the Right Skills for Human Capital : Education, Skills, and Productivity in the Kyrgyz Republic

  • Palavras-chave

    Technical and Vocational Education; information and communication technology; national sustainable development strategy; literacy and numeracy; higher level of education; early childhood development standard; early childhood development program; labor force participation rate; national education plan; short period of time; annual population growth rate; upper secondary education; quality of education; Early childhood education; demand for skill; Labor Market; rate of literacy; years of schooling; student learn outcome; Education and Technology; secondary school level; disparities in access; use of computers; education sector plan; human capital formation; skilled labor force; household budget survey; long-term economic growth; net enrollment rate; education delivery system; school age child; lack of availability; international poverty line; skilled labour force; general secondary education; decline in poverty; use of information; private sector employment; application of knowledge; higher level skill; privileges and immunity; human capital development; problem solving skill; quality of learning; high school teacher; Access to Education; basic computer literacy; education level; age cohort; skill acquisition; russian language; numeracy skill; cognitive skill; adult population; immigration status; high wage; Job Creation; rural area; technology applications; basic arithmetic; low performance; basic skill; spatial representation; tertiary level; technological innovation; professional development; young population; older worker; productive workforce; worker productivity; skill deficiency; formal sector; educated adult; web browser; problem-solving skill; reading fluency; technological skill; industry sector; quality education; demographic growth; skilled workforce; school system; life expectancy; Higher Education; new job; technological advancement; younger cohort; random sample; test result; written text; monthly wage; teacher characteristic; laptop computer; ict application; copyright owner; computer skill; largest groups; informal sector; job growth; sole responsibility; seasonal work; original work; international norm; predictor variable; model result; commercial purpose; survey implementation; analytical skill; social context; behavioral competencies; new model; put pressure; work requirement; learning level; old student; young adult; big data; measure of use; workplace skill; representative sample; rural district; Job Quality; future workforce; remittance economy; social distance; literacy score; reading comprehension; learning program; radio broadcast; online resources; school year; emotional stability; migrant remittance; advanced skill; gold extraction; literacy level; mitigation efforts; skill need; political reform; skill development; political regime; spoken language; productivity growth; life-long learning; survey modules; labor productivity; language group; working age; Child development; word recognition; traditional sector; mathematical information; foreign exchange; base assessment; adult life; bus schedule; unemployment rate; Natural Resources; Informal Economy; youth bulge; general population; children of ages; global trend; age range; quality preschool; Basic Education; increased demand; gender parity; administrative support; field survey; education systems; market change; early age; civic life; reading skill; writing skill; first stage; improving growth; preprimary school; preprimary education; employment status; high enrollment; new skill; young people; industrial sector; independent country; garment industry; private enterprise; gender disparity; jobs diagnostic; necessary skill; universal enrollment

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