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G20 Policy Priorities on Strategies to Address Skill Gaps Globally
G20 Labour and Employment Ministers' Meeting
Indore, India, July 21, 2023
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We acknowledge that accurate and comparable labour market information on demand and supply of skills and occupations using indicators and internationally referenced skills and qualifications frameworks among G20 countries could be effective for enhancing our efforts including through exchange of best practices and peer learning, to address skills gaps. The availability of such reliable information on existing and anticipated skill gaps and mismatches could aid us in the effective formulation of our respective skilling and life-long learning strategies to address these deficits. These measures hold potential to boost the global economy for inclusive and sustainable social development.
We also need (1) to be aware of the skill needs from a short, mid and a long-term perspective and (2) to provide support such as training leave and access to public employment services including career guidance. In doing so, we emphasize the importance of collaborating with social partners and all other relevant stakeholders.
We are committed to measure and monitor skills and job mismatches in a harmonised manner to enhance the comparability and mutual recognition of skill and qualification requirements in line with national priorities and circumstances. In particular, we will work to:
Make further efforts to close the data gaps for the set of indicators proposed in Table A below, while improving the availability, regularity, granularity (collection of disaggregated data), timeliness and quality of data collection and analysis at a national level, as well as sharing data with the ILO and OECD for comparability and dissemination.
Consult with our respective national statistical services, other concerned Ministries, social partners as appropriate, and national and international institutions, in order to collaborate with ILO and OECD, to promote the development and implementation of modules on skill mismatches for incorporation, according to national circumstances and regulations, into household, labour market or other surveys. These modules, designed, adapted and implemented in consideration of standardised definitions and guidelines developed by ILO, OECD, and other relevant institutions, in consultation with national statistical services of the countries, may be suitably adapted to national circumstances. This would serve to periodically collect and analyse internationally comparable data on the demand and supply of skills, including for constructing those indicators in Table B.
Ensure adequate national capacity, in collaboration with relevant stakeholders, for the assessment, identification and anticipation of occupational and skill needs, mismatches, and shortages, including through the usage of big data and leveraging advances in AI.
Share good policies and practices in promoting skill development by TVET and other relevant institutions, re-skilling and up-skilling policies, which are investments in human capital, and the development, utilisation, and portability of skills in a changing world of work, especially for people in vulnerable situations, including inter alia those amongst lower-skilled youth, older workers, women returning to or entering the workforce in particular after extended absence for caring responsibilities, and persons with disabilities.
Make efforts to extend the coverage and usage of the Skills for Jobs Database, developed by the OECD with the ILO, to G20 countries, as appropriate, as a key tool to assess skills gaps and mismatches.
In collaboration with the ILO and OECD, map national skill gaps in G20 countries, and continue the assessment of our progress in implementing the updated G20 Skill Strategy 2022 to address these gaps.
Develop responsive adult learning systems to tackle and prevent skill gaps in line with the G20 Skills Strategy 2022 and the ILO strategy on Skills and Lifelong Learning for 2022-30.
Work with ILO and OECD to consider the development of an international reference classification of occupations by skill and qualification requirements that could be mapped with our respective national skills classification systems or adapt to our own requirements to enhance the transparency, quality, comparability and recognition of skills and qualifications among G20 countries.
We call upon the ILO and OECD to consider the feasibility of developing the international reference classification to assess its technical, operational, and economic viability by 2026, and share the progress annually. The feasibility study would also include a pilot in identified key sectors among G20 countries.
Indicator |
Definition/Formula |
Implications on skills gaps |
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Employment-to-population ratio |
Defined as the proportion of the working-age population (aged 15-64) employed. |
Provides an indication of the proportion of the potential workforce using their skills at work. |
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Employment (% change YoY) |
Annual percentage change in total employment. |
Positive (negative) growth signals increasing (decreasing) labour demand, which could give rise to skills shortages (surpluses). |
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Median hourly wage (% change YoY) |
Annual percentage change in median hourly earnings.
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A positive (negative) change in median hourly earnings possibly reflects the relative difficulty (ease) of employers finding individuals with the right skills. |
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Average weekly hours worked (% change YoY) |
Annual percentage change in average actual or usual weekly hours of work. |
A positive (negative) change in average weekly hours worked rate possibly indicates that there exist skill shortages (surpluses). |
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Share of over/under-qualified among persons in employment |
Employed persons who are overqualified (underqualified) are those whose qualification exceeds (is lower than) the qualification required for their occupation. |
A higher (lower) share of individuals who are over/under-qualified reflects higher (lower) qualifications mismatch. |
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Unemployment rate for those previously employed |
Unemployed persons who were previously employed (i.e., excluding first-time jobseekers) as a share of the total labour force. |
High (low) unemployment rates signal skill surpluses (shortages). |
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Long-term unemployment rate and incidence |
Persons unemployed for one year or longer, measured as a share of i) the total labour force and ii) total unemployment. |
A large proportion of long-term unemployed in the labour force is likely to reflect structural skills mismatches. |
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Inactivity rate |
Inactivity rate is the proportion of the working-age population that is not in the labour force. |
Indicates the share of people who are outside of the labour market and not using their skills at work, which may partly reflect a mismatch of their skills with those required by employers. |
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Time-related underemployment rate among persons in employment | All persons in employment who, during a short reference period, (a) wanted to work additional hours, (b) had worked less than a specified hours threshold (working time in all jobs), and (c) were available to work additional hours given an opportunity for more work. | Provides an important aspect of labour and skills underutilization. | |||||||||||||
Share of youth not in employment, education or training (NEET) |
The percentage of young people (aged 15-29) who are not employed and not involved in education or training.
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A high (low) NEET rate among youth could indicate a surplus (shortage) of their skills relative to skill demands. |
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Composite rate of labour underutilization (LU4) and new composite rate of skills underutilization (SU) |
LU4 is measured as the total number of people who are time-related underemployed, unemployed or in the potential labour force (not working but either seeking or available for work) relative to the total labour force plus the potential labour force. SU is the same as LU4 but includes in the numerator all persons who are overqualified.
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High composite rates of labour and skills underutilization signal labour surpluses. |
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Participation rate in adult education and training |
Share of all adults (aged 25-64) who participated in education or training in the past 12 months, disaggregated by gender, education level (ISCED 0-2, 3-4, 5+) and age group (25-54, 55-64).
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Higher participation in education and training should increase the share of adults with labour-market-relevant skills, which should, ceteris paribus, decrease skills mismatches. |
A. Skills Gaps Surveys to be directly asked to individuals (Supply side) |
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B. Skills Gaps Surveys to be directly asked to establishments (Demand side) |
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