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Developing Asia and the World
Economic trends and prospects in developing Asia
Growth amid change

Changes in employment structure and education intensity

 

Figure 3.2.2 shows the education profiles of workers in agriculture, industry, and services. They very clearly show that agriculture hires the least-educated workers, and services the most-educated. Industry employs the modestly schooled.

With these trends in mind, it is useful to examine how the rise in education levels relates to changes in the structure of employment. Table 3.2.2 depicts the first, most aggregate pass at this for each of the four countries. The labor force is split into those working in the three major sectors of the economy and the unemployed. (Later on in this section a more disaggregated approach is taken, but with little change in the results.) Each country's employment profile was observed at two points in time between 10 and 13 years apart.

The first three columns depict the proportions of each country's labor force in each activity in the initial and final years, and how they have changed. (Note that unemployment rates are comparable over time but not across countries.) The table shows unemployment rising rapidly in every country. Trends in agricultural, industrial, and services employment shares, however, are country specific.

Agriculture's employment share has been declining very rapidly in those countries that reached their land frontiers before the 1990s. The Philippines ran out of new arable land in the 1970s. Thailand did so by 1980, as did most regions of India. In contrast, Indonesia, which is still clearing forests for agriculture, experienced only a small decline in agriculture's employment share. The Indonesian figures also reflect a return of low-skilled labor to agricultural activity in the wake of the Asian crisis of 1997–98. Thailand, with its more sophisticated arrangements for reallocating capital, has come back from the crisis sooner than Indonesia, and agricultural employment has continued to contract.

Industrially, India has had some recent success, while Thailand has been industrializing for some time now. Industrial employment in Indonesia and the Philippines has been shrinking. Growth amid change (Part 3) shows that this deindustrialization is occurring at very low levels of industrial development, which raises alarm bells, especially in the Philippines, where deindustrialization cannot be explained in terms of the crisis alone.

Services employment is rising everywhere, though most in the Philippines and Thailand. In India, where industrial employment surged, services employment rose only slightly, challenging the view from value-added data that India is becoming a services economy. Low net exit from agriculture in Indonesia has been associated with limited services growth.

The next three columns of the table depict measures of education intensity-the share of workers in each sector holding at least a lower secondary (LS) certificate-and how they have shifted. Consistent with Figure 3.2.2, services are always the most intensive users of LS graduates, followed by industry, and then agriculture. Also, the unemployed are more likely to have completed LS than the employed.

In Indonesia, Philippines, and Thailand, LS intensities are rising rapidly economywide. India is focusing on raising primary completion rates and LS prevalence has grown much less. Not having many primary graduates to push up the ladder further, limits scope for LS expansion in India. Perhaps most important, education intensity has risen in every section of the labor force.

3.2.2 Education distribution by sectors

N = none; IP = incomplete primary; M = middle; P = primary; ILS = incomplete lower secondary; LS = lower secondary; HS = higher secondary; IT = incomplete tertiary; T = tertiary.

Sources: India National Sample Survey Organisation, Socio-economic Survey, Round 60, January–June 2004; Indonesia SAKERNAS 2004; Philippine Labor Force Survey, October 2004; Thailand Labor Force Survey, October 2005.
Click here for figure data

3.2.2 Education intensification and structural change, lower secondary

India Employment share (%) Education intensity (%)

Between sector

Within sector

Contribution by sector

Contribution by sector (%)

1993/94 2004 Change 1993/94 2004 Change
Aggregate 100.0 100.0 0.0 16.7 21.5 4.8 1.8 3.0 4.8 100.0
Agriculture 59.3 51.3 -8.0 6.8 10.2 3.4 -0.5 1.7 1.2 24.6
Industry 15.1 19.0 3.9 18.4 19.6 1.2 0.7 0.2 0.9 19.8
Services 21.9 24.7 2.8 38.0 42.6 4.6 1.1 1.1 2.2 46.1
Unemployed 3.8 5.1 1.3 41.2 39.3 -1.9 0.5 -0.1 0.5 9.5
Percentage of intensification due to between- and within-sector effects 37.3 62.7
Indonesia Employment share (%) Education intensity (%)

Between sector

Within sector

Contribution by sector

Contribution by sector (%)

1994 2004 Change 1994 2004 Change
Aggregate 100.0 100.0 0.0 30.4 45.9 15.5 1.5 14.0 15.5 100.0
Agriculture 42.9 40.5 -2.4 12.1 23.1 11.0 -0.3 4.5 4.2 26.9
Industry 18.2 16.8 -1.3 34.1 53.7 19.6 -0.5 3.3 2.8 18.3
Services 34.3 36.2 1.8 45.5 61.6 16.1 0.8 5.8 6.7 42.9
Unemployed 4.6 6.5 1.9 74.4 81.4 7.0 1.4 0.5 1.8 11.9
Percentage of intensification due to between- and within-sector effects 9.6 90.4
Philippines Employment share (%) Education intensity (%)

Between sector

Within sector

Contribution by sector

Contribution by sector (%)

1991 2004 Change 1991 2004 Change
Aggregate 100.0 100.0 0.0 39.1 50.9 11.7 3.4 8.3 11.7 100.0
Agriculture 41.3 33.1 -8.2 17.1 23.2 6.2 -1.4 2.0 0.6 5.4
Industry 14.6 13.7 -0.9 46.5 56.7 10.3 -0.4 1.4 1.0 8.3
Services 35.1 42.3 7.2 57.5 67.3 9.8 4.1 4.2 8.3 70.6
Unemployed 9.0 10.9 1.9 56.7 63.5 6.8 1.1 0.7 1.8 15.7
Percentage of intensification due to between- and within-sector effects 29.0 71.0
Thailand Employment share (%) Education intensity (%)

Between sector

Within sector

Contribution by sector

Contribution by sector (%)

1995 2005 Change 1995 2005 Change
Aggregate 100.0 100.0 0.0 20.2 36.5 16.3 2.8 13.6 16.3 100.0
Agriculture 51.4 42.0 -9.4 6.7 17.5 10.7 -0.6 4.5 3.9 23.7
Industry 19.5 21.6 2.2 28.4 46.6 18.3 0.6 4.0 4.6 27.9
Services 28.0 35.0 7.0 38.8 51.9 13.1 2.7 4.6 7.3 44.8
Unemployed 1.1 1.4 0.2 27.6 65.4 37.9 0.1 0.5 0.6 3.5
Percentage of intensification due to between- and within-sector effects 17.0 83.0

Sources: India National Sample Survey Organisation, Socio-economic Survey, Schedule 10, 1993/94, 2004; Indonesia SAKERNAS 1994, 2004; Philippine Labor Force Survey, 1991, 2004, October rounds; Thailand Labor Force Survey, 1995, 2005, October rounds.

The seventh column asks what increase in the labor force share of LS educated workers would be required algebraically to support the observed change in employment structure, without raising LS prevalence within sectors. In India, for example, with 38% of service workers having LS education initially, 2.8% growth in the services employment share would have required a further 1.1% of the labor force to pass LS (1.1% = 38% x 2.8% x 100). Adding this 1.1% to the corresponding projected changes in the other three sectors implies that to accommodate its employment shift between these four sectors without increasing LS-intensity within sectors, India would have required only a 1.8% increase in LS graduates. The remaining 3% increase in graduates' share in the labor force (or 62.7% of the 4.8 point intensity increase between 1993/94 and 2004) is accounted for by increases in intensity within each sector.

The penultimate column shows that, of the 4.8 point increase in LS graduates, 2.2% of the labor force (or 46.1% of the increase in graduates) were absorbed in services. Given that the sector employs only 24.7% of the labor force, services disproportionately absorbed the increase in LS educated workers. So did unemployment.

This last trend, whereby services and unemployment disproportionately absorb LS graduates, is common to all countries. Industry also absorbs its fair share of LS graduates in India and Thailand.

 

Country experiences differ. In rapidly educating and glacially transforming Indonesia, structural change accounts for less than a tenth of the increase in education. That figure rises to 17% in Thailand, where rapidly rising employment in industry and services helped absorb some of the educated entrants. The extraordinarily large increase in education among Thailand's unemployed is also noteworthy. In the Philippines, nearly 30% of the observed intensification can be algebraically attributed to structural change, as workers shifted out of both (education unintensive) agriculture and industry, and into services and unemployment. As the country deindustrialized, services absorbed 70% of new graduates.

These differences notwithstanding, what remains remarkable is the much larger portion of the education expansion that is not attributable to structural change at the four-sector level. A possible explanation is that four sectors is not enough, and this analysis masks subsectoral shifts in the composition of economic activity. Perhaps education-intensive subsectors have been growing. Therefore, a more disaggregated look at the data is warranted. (Unfortunately, incompatibility of sector classifications between survey years precludes a much more detailed analysis of the Indonesian experience.)

3.2.3 Contribution of structural change to Education intensification in the services sector, lower secondary, Philippines

Employment share (%) Education intensity (%)
1991 2004 Change 1991 2004 Change
Retail trade 32.7 33.5 0.7 45.5 61.0 15.4
Transportation and storage 12.2 15.4 3.1 49.1 57.2 8.1
Personal and household services 17.8 14.2 -3.6 34.2 48.1 13.9
Public administration and defense 11.1 9.6 -1.5 84.7 84.0 -0.7
Education 8.1 6.4 -1.7 96.8 98.3 1.6
Hotels and restaurants 3.7 5.3 1.6 59.6 76.6 17.0
Business services 2.5 4.0 1.5 83.5 92.7 9.2
Health, social work, and other social and community services 3.4 3.1 -0.3 83.6 87.9 4.3
Wholesale trade 3.0 2.9 -0.1 55.9 60.5 4.7
Recreational and cultural services 1.9 2.0 0.1 55.8 65.6 9.9
Communications 0.6 0.9 0.3 94.8 96.4 1.6
Banking institutions 1.2 0.8 -0.3 95.4 97.5 2.1
Nonbank financial intermediation 0.3 0.8 0.6 90.4 95.1 4.7
Real estate 0.6 0.7 0.1 79.6 90.8 11.1
Insurance 0.6 0.3 -0.3 96.2 93.5 -2.7
Sanitary and similar services 0.1 0.2 0.0 70.0 22.4 -47.6
Extraterritorial organizations and bodies 0.2 0.0 -0.2 82.9 100.0 17.1
Services sector as a whole 100.0 100.0 57.3 67.3 10.0
Increase in lower secondary intensity necessary to accommodate shifting labor force shares between sectors -0.2
As percentage of observed increase in intensification -1.9
Increase in lower secondary intensity due to rising intensity within sectors 10.2
As percentage of observed increase in intensification 101.9

Source: Philippine Labor Force Survey, 1991, 2004, October rounds.

Noting that an 86% of the increase in educated Filipino workers was absorbed into services and unemployment, Table 3.2.3 disaggregates services to shed light on why 10% more service workers now have LS degrees. The results are stark. If education intensities in the 17 services subsectors remained unchanged, while employment shares moved as they have, the share of service workers with LS education would have fallen by 0.2 percentage points. This happens for two reasons. First, the changes in employment shares (third column) are not large, indicating very little structural change within services. Second, while employment shares in a few LS-intensive subsectors (e.g., "business services," "hotels and restaurants") have increased, unintensive sectors (e.g., "transportation") have grown as well. Thus the entire increase in education intensity in services is algebraically attributable to intensification within these 17 subsectors.

 

Together with Table 3.2.2, these results show that, other than a push out of agriculture into services and unemployment, there have been precious few changes in the structure of the Philippine economy that could absorb the surge in educated workers.

In Thailand and India, all sectors absorbed significant numbers of the educated, so it is more useful to disaggregate their entire employment structure, not just the services sector. Table 3.2.4 shows that in Thailand, even after disaggregating the labor force into 23 subsectors, transformation only explains 21% of the proliferation of LS graduates. Although some education intensive subsectors of the economy (e.g., "manufacturing and repair," "hotels and restaurants") grew, they were initially not sufficiently large or education intensive to absorb the increase in educated workers. Similarly in India, a 25 subsector decomposition (Table 3.2.5) only raises the fraction of intensification explained by structural change from 37% to 39%. Thus, education levels rose in almost every subsector in both countries.

Indian and Thai employment data share other important features. Manufacturing's employment share is growing. Construction is booming, at least in India, while the apparent construction slowdown in Thailand is relative to the pre-Asian crisis building boom. Wholesale trade is on the rise. Growth of India's transport sector in this context probably reflects demand-side factors, rather than just growing labor supply (as it does in the Philippines). Even in Thailand, where transport's employment share fell slightly, crudely disaggregating the employment data shows a falling share of taxi drivers, and a rising share of truck drivers.

Furthermore, there is credible evidence of falling education intensity within some large subsectors in India. One positive sign is the 2.5 point reduction in the proportion of workers in household and personal services with LS degrees. This subsector, which includes most of the traditional trades-hair-dressing, house cleaning, child care, etc.-is probably a residual category housing many of the disguised unemployed. De-intensification in this sector might indicate that secondary graduates are finding more remunerative employment.

Perhaps the most surprising result in India is the de-intensification of business services and IT-enabled services. The sector contains a large and diverse set of services besides IT, and has doubled its employment in absolute terms. Indeed, one common feature of transformation is that firms outsource a number of activities, leading to growth in separate low-skill business services such as photocopying, renting of equipment, filing, etc. If growth of low-skill complementary services indeed explains the de-intensification of business services, this puts the promise of job growth led by the high-tech business services sector into perspective. This sector must have employed far less than 0.9% of India's labor force in 2004.

Also in contrast to the hype about India's high-end service economy, labor force shares in most "knowledge economy" subsectors (including education, science, and research; financial intermediation; business services; insurance) are much larger in Thailand than in India. On recent trends, this is unlikely to change.

3.2.4 Decomposing Education intensification into 23 subsectors, lower secondary, Thailand

Employment share (%) Education intensity (%)
1995 2005 Change 1995 2005 Change
Agriculture, hunting, and forestry 50.3 40.8 -9.5 6.6 17.4 10.8
Fishing 1.1 1.2 0.1 12.7 20.3 7.6
Mining and quarrying 0.1 0.1 0.0 26.6 39.8 13.3
Manufacturing and repair 13.3 16.2 2.9 31.0 51.7 20.7
Electricity, gas, and water supply 0.5 0.3 -0.2 77.2 74.9 -2.3
Construction 5.6 5.0 -0.6 18.2 29.0 10.9
Retail trade 9.9 10.3 0.3 31.4 47.8 16.4
Transportation 2.8 2.6 -0.2 27.5 44.7 17.2
Personal and household services 1.8 1.8 0.0 15.2 32.8 17.5
Public administration and defense 3.0 3.1 0.1 69.2 81.3 12.1
Education, science, and research 2.7 3.2 0.5 37.5 38.6 1.1
Hotels and restaurants 3.2 6.3 3.1 32.1 39.9 7.8
Health and medical services 0.9 1.4 0.5 79.5 86.1 6.6
Social work, and other social and community services 0.1 0.3 0.3 37.4 71.4 34.0
Wholesale trade 1.6 2.5 0.9 31.8 48.7 16.9
Recreational, cultural, and sporting activities 0.3 0.6 0.3 36.8 64.7 27.9
Warehousing 0.0 0.1 0.1 46.0 65.7 19.7
Communication 0.2 0.2 0.1 89.7 89.1 -0.6
Financial intermediation 0.6 0.7 0.1 85.5 93.5 8.0
Real estate 0.1 0.3 0.1 73.9 58.9 -14.9
Business activities including renting 0.6 1.4 0.8 61.3 68.5 7.3
Insurance 0.2 0.3 0.1 78.4 85.4 7.1
Sanitary and similar activities 0.1 0.2 0.1 14.5 30.4 15.9
Unemployed 1.1 1.4 0.3 27.6 65.4 37.9
Aggregate 100.0 100.0 0.0 20.1 36.5 16.3
Increase in lower secondary intensity necessary to accommodate shifting labor force shares between sectors 3.4
As percentage of observed increase in intensification 21.1
Increase in lower secondary intensity due to rising intensity within sectors 12.9
As percentage of observed increase in intensification 78.9

Source: Thailand Labor Force Survey, 1995, 2005, October rounds.

3.2.5 Decomposing Education intensification into 25 subsectors, lower secondary, India

Employment share (%) Education intensity (%)
1993/94 2004 Change 1993/94 2004 Change
Agriculture, hunting, and forestry 58.8 50.9 -8.0 6.9 10.2 3.3
Fishing 0.5 0.4 0.0 3.7 8.1 4.4
Mining and quarrying 0.8 0.9 0.1 14.5 15.2 0.7
Manufacturing 10.4 11.7 1.3 20.3 23.1 2.8
Utilities 0.4 0.3 -0.1 47.5 51.0 3.5
Construction 3.5 6.1 2.6 10.5 12.1 1.6
Retail 5.9 5.2 -0.6 26.0 31.7 5.7
Transportation 2.7 3.8 1.0 22.6 24.4 1.8
Household and personal services 2.7 2.1 -0.6 11.3 8.7 -2.5
Public administration and defense 3.2 2.1 -1.1 60.8 65.5 4.7
Education, science, and research 1.8 2.4 0.6 83.8 86.3 2.5
Hotels and restaurants 0.9 1.3 0.5 13.8 20.2 6.4
Health and medical 0.5 0.7 0.2 69.6 77.7 8.1
Social work and other community services 0.3 0.4 0.1 30.7 39.7 9.0
Wholesale trade 1.2 2.8 1.7 38.3 42.7 4.5
Recreational and cultural services 0.2 0.2 0.0 37.8 39.9 2.1
Warehousing 0.0 0.0 0.0 28.3 49.0 20.8
Communications 0.2 0.4 0.2 71.9 76.5 4.6
Financial intermediation 0.5 0.5 0.0 87.1 82.8 -4.4
Real estate 0.0 0.1 0.0 56.1 64.3 8.2
Business services 0.3 0.9 0.6 75.3 70.1 -5.2
Insurance 0.1 0.1 0.1 86.9 91.9 5.0
Sanitary and similar services 0.1 0.1 0.0 11.6 12.4 0.8
Extraterritorial organizations and bodies 0.0 0.0 0.0 62.9 35.6 -27.3
Repair 1.0 1.3 0.3 23.7 29.3 5.6
Unemployment 3.8 5.1 1.3 41.2 39.3 -1.9
Aggregate 100.0 100.0 0.0 16.7 21.5 4.8
Increase in lower secondary intensity necessary to accommodate shifting labor force shares between sectors 1.9
As percentage of observed increase in intensification 39.4
Increase in lower secondary intensity due to rising intensity within sectors 2.9
As percentage of observed increase in intensification 60.6

Source: India National Sample Survey Organisation, Socio-economic Survey, Schedule 10, 1993/94, 2004.

Finally, the above tables help to examine the role of increased international competition between workers in driving demand for education. This role is often championed by the media. From the disaggregated analyses of each country, it can be seen that the majority of additional educated workers are absorbed in the nontraded services sector and in unemployment-i.e., they are not in competition with foreign workers. Further, even in India and Thailand, where industry is absorbing educated workers, this is not sufficient to posit a link between trade and education. Specifically, in India, industrial workers have become less educated than the labor force at large during the very time when trade has been liberalized and industrial exports have been growing. And, as the next section shows, returns to education in Indian and Thai industry have also been falling during this time.

 

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