TRENDS & Patterns Understanding the In the Philippine Labor Market 24 May 2014 1 Philippine Statistics Authority (1) Serious disconnect between the structures of GDP and Employment Often results in jobless growth Underscores the structural nature of the unemployment problem Philippine Statistics Authority 2 GDP and Employment Shares by Sector: 2013 Sector GDP share (%) Employment share (%) Agriculture 10.4 31.0 Industry 32.7 15.6 Services 56.8 53.4 Philippine Statistics Authority 3 GDP AND EMPLOYMENT : Divergence in growth patterns Jobless growth: High GDP growth rate but low employment creation (i.e., 2008, 2012, 2013) Or the reverse: Low GDP growth rate but high employment creation (i.e., 2009 - part-time employment in services sector) Philippine Statistics Authority 4 GDP AND EMPLOYMENT, 2013 GROWTH RATE (%) Sector Agriculture Industry Services All Sectors GDP Growth Rate (%) Employment Growth Rate (%) 1.1 9.5 7.1 7.2 -2.1 3.4 2.9 1.4 High GDP growth rate with low employment creation (jobless growth) Structural nature of employment problem Philippine Statistics Authority 5 EMPLOYMENT STRUCTURE SECTORAL EMPLOYMENT SHARE (% to total employment) Selected ASEAN Countries, 2009 Country Indonesia Malaysia Thailand Philippines Agriculture Industry Services 39.7 13.5 41.5 35.2 18.8 27.0 19.6 14.5 41.5 59.5 38.9 50.3 Source: Norio Usui, Taking the right road to inclusive growth, Asian Development Bank (2012). 6 Share of employment in industry lowest in the Philippines Robust growth in industry output will not translate to more jobs and lower unemployment – because of low employment base in industry For growth to make a dent on unemployment rate – growth should occur in agriculture with large employment base. But in the long-run the shift in labor resources should occur from agriculture to industry. This is where right policies and programs can make a difference as shown by the experiences of neighboring ASEAN countries. Philippine Statistics Authority OUTPUT STRUCTURE SECTORAL SHARE (% to GDP) Selected ASEAN Countries, 2009 Country Indonesia Malaysia Thailand Philippines Agriculture Industry Services 15.9 9.5 11.5 12.5 49.6 44.3 43.3 31.5 34.5 46.2 45.2 56.0 Source: Norio Usui, Taking the right road to inclusive growth, Asian Development Bank (2012). Share of industry output lowest in the Philippines Philippine Statistics Authority 7 GDP PER CAPITA PPP (at constant 2011 international $) Selected ASEAN Countries Country 2000 2005 2012 Indonesia Malaysia Thailand Philippines 5,554 15,688 8,939 4,243 6,513 17,921 10,901 4,804 8,856 21,897 13,586 6,005 Vietnam Cambodia Lao,PDR 2,650 1,368 2,327 3,485 1,957 2,930 4,912 2,789 4,388 Source: World Bank, World Development Indicators. Philippine Statistics Authority 8 According to NEDA, it is not unusual for high unemployment even with economic growth. It is normal, as shown by experiences of other emerging economies. As the economy grows and its structure transforms, employment exhibits volatility as the labor market adjusts---optimism increases among the working age population resulting to more people looking for work. Further, in the course of structural change, jobs are destroyed and new ones are created. But the current skills of the labor force may not be able to match the growing and shifting demand for labor. This may result to increase in unemployment rates at certain points during the transformation process. Philippine Statistics Authority 9 (2) Economic growth consumption led fuelled by remittances Share of capital formation stagnant Share of trade (X-M) negligible Philippine Statistics Authority 10 Gross National Income and Gross Domestic Product by Expenditure Share: 2000, 2005 and 2010 - 2013 (at constant 2000 prices) Percent distribution Type of Expenditure 2000 2005 2010 2011 2012 2013 1. Household Final Consumption Expenditure 61.6 58.6 57.6 59.2 59.3 58.2 2. Government consumption 9.7 7.4 8.3 8.3 8.7 8.8 3. Capital Formation 15.7 16.8 17.3 17.1 15.6 17.1 4. Export-Import (X-M) -1.7 -3.2 0.0 -0.7 0.6 -0.7 Gross Domestic Product 85.3 79.6 83.2 83.9 84.2 83.9 14.7 20.4 16.8 16.1 15.8 16.1 100.0 100.0 100.0 100.0 100.0 100.0 - Net Primary Income from Rest of the World (ROW) Gross National Income Source: Philippine Statistics Authority, National Accounts of the Philippines. Consumption - a main growth driver Gov’t expenditure on the uptrend Capital formation (Investment) the engine growth contributed less than one-fifth to GNI - its share to GNI erratic Export-Import share low or negative – bad for employment Share of remittances (net primary income from ROW) erratic– boosting consumption Danger of too much dependence on remittances 11 Philippine Statistics Authority Annual Growth Rate in Capital Formation, Philippines: 2002 - 2013 (at constant 2000 prices) 40 30 p 20 e r c 10 e n 0 t 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 -10 -20 Source: Philippine Statistics Authority, National Accounts of the Philippines. 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 15.7 -0.4 -2.2 3.0 -15.1 -0.5 23.4 -8.7 31.6 2.0 -3.2 18.2 Trend in capital formation highly erratic Declines occurred in 2003, 2004, 2006, 2009, 2011 and 2012 – this means lack or absence of investment, but significant upswing in 2013 No investment >>> lower outputs and fewer jobs Foreign direct investment lowest among original ASEAN 12 Philippine Statistics Authority (3) Quality Employment - a function of GDP growth Philippine Statistics Authority 13 Annual Growth Rates in GDP and Full-time Employment Both move in almost identical direction - With few exception e.g., 2012 Full-time employment expands in times of economic upturn/recovery and contracts during economic slowdown Philippine Statistics Authority 14 Annual Growth Rates in GDP and Part-time Employment Moved in opposite direction Part-time employment expands during economic downturn/slowdown but decline during economic upturn/recovery With few exception e.g., 2008 15 Philippine Statistics Authority (4) Employment grew in “Boom and Bust Pattern” • Monsoon economy - - - - - - - > Climate change • Economic crisis (Asian economic crisis/1988 and global financial crisis/2008-2009 • Political events Philippine Statistics Authority 16 ANNUAL EMPLOYMENT GROWTH RATE (%) 2007 - 2013 Employment trend characterized by erratic movement or “boom and bust” May not be observed at all times Philippine Statistics Authority 17 Boom & Bust - More pronounced year-on-year Philippine Statistics Authority 18 (5) DUALISM IN THE LABOR MARKET Formal sector ---------------- Precarious employment Informal sector -------------- Vulnerable employment Philippine Statistics Authority 19 In 2013 FORMAL SECTOR (Wage and salary) Private establishment 17.114 million Precarious employment Private household Own family-operated farm or business 0.127 million 1.969 million Gov’t/GOCC Employer 3.037 million 1.272 million INFORMAL SECTOR Vulnerable employment Self-employed Unpaid family workers 10.668 million 3.930 million Philippine Statistics Authority 20 (6) Climate change and employment instability - agriculture, fishery and forestry sector employment a big drag in employment growth El Nino phenomenon (1998, 2000, 2003 & 2005) Destructive typhoons ( 1998, 2004,2006, 2009, 2012 & 2013) Philippine Statistics Authority 21 Employment instability is often caused by fluctuations in agriculture, fishery and forestry sector due to extreme weather (climate change) - Industry employment is small sector (15.6% of total employment) to make a dent on employment growth. Moreover, it has remained stagnant across time. - Service sector employment (53.4%) is generally stable and increasing overtime. - Agricultural sector employment (31%) subject to weather disturbances: steep/mark decline in recent years (2010, 2012,2013) a throwback of the 1998 and 2000 El Nino years Philippine Statistics Authority 22 ANNUAL EMPLOYMENT INCREMENTS (‘000) BY SECTOR Philippine Statistics Authority 23 ANNUAL EMPLOYMENT GENERATION: 2007 – 2013 (‘000) Annual employment generation below 1 million - except in 2011 (largely part-time) Philippine Statistics Authority 24 (7) Underemployment - more serious than unemployment problem (1 out of 5 employed is underemployed; its magnitude is 2x the unemployed) Highly correlated with poverty Variation most pronounced across regions (spatial) Philippine Statistics Authority 25 UNDEREMPLOYMENT RATE : 2006 - 2013 (‘000) • Declining gradually from 2006 to 2010 • Relatively unchanged in the past three years Philippine Statistics Authority 26 REGIONAL STATISTICS ON UNDEREMPLOYMENT: 2013 TOP 5 REGIONS 1. Bicol Region 37.3 2. Caraga 27.1 3. Northern Mindanao 25.7 4. Eastern Visayas 25.1 5. MIMAROPA 23.4 BOTTOM 5 REGIONS 1. NCR 12.1 2. ARMM 12.4 3. Cagayan Valley 12.9 4. Ilocos Region 20.0 5. Central Luzon 14.5 Philippine Statistics Authority 27 (8) Unemployment - structural – little change since 2006 (employment and labor force growing at the same pace, translates to unemployment rate unchanged) - largely a problem of the youth (48.5% of unemployed in 2013) Rate more than twice the national rate - Educated workforce – college graduates at around one-fifth of the unemployed Philippine Statistics Authority 28 UNEMPLOYMENT RATE: 2006-2013 (%) Unemployment rate moving within a very narrow band: 7-7.5% in 2007-2013 TOTAL UNEMPLOYED PERSON: 2006-2013 (‘000) Total unemployed persons stagnant at less than three million since 2006 Philippine Statistics Authority 29 Annual growth rate (%) Employment is barely catching up with the growth in labor force Unemployment rate (%) Unemployment rate stays virtually stagnant. UR down when E > LF UR up when LF > E 30 Philippine Statistics Authority REGIONAL STATISTICS ON UNEMPLOYMENT: 2013 (in percent) TOP 5 REGIONS 1. NCR 10.3 2. CALABARZON 9.2 3. Central Luzon 8.7 4. Davao Region 6.9 5. Western Visayas 6.9 BOTTOM 5 REGIONS 1. Cagayan Valley 3.2 2. Zamboanga Peninsula 3.5 3. MIMAROPA 4.1 4. SOCCSKSARGEN 4.4 5. CAR 4.5 Philippine Statistics Authority 31 As a general rule, high unemployment is associated with low underemployment and vice versa 10.3% UNEMPLOYMENT RATE (%) 2013 8.3% 5.3% 3.2% R2 3.5% R9 4.1% R4-B 4.4% 4.5% 4.6% R12 CAR ARMM R8 5.7% R10 6.0% Caraga 6.3% 6.5% R7 R5 6.9% 6.9% 7.1% R11 R6 PHIL 8.7% R1 9.2% R3 R4-A NCR UNDEREMPLOYM ENT RATE (%) 2013 37.3% 27.1% 25.7% 25.1% 23.4% 22.7% 22.7% 21.8% 20.0% 19.3% 17.9% 17.2% 15.1% R5 Caraga R10 R8 R4-B R12 R6 R9 R1 PHIL R4-A R11 R7 14.5% R3 14.1% CAR 12.9% 12.4% 12.1% R2 ARMM NCR Philippine Statistics Authority 32 (9) Flukes in the labor market Philippine Statistics Authority 33 Flukes (blips) in the labor market - Underemployment rate surged to 22.8% million) in July 2012 (+1.470 ∞ - Part-time employment shot up by 18.4% (+2.514 million) in April 2012 and dipped by 18.9% (-3.064 million ) in April 2013 This phenomenon could be a “fluke” or temporary in nature that needs further validation in the next survey round - hence any attempt on conclusion could be premature (not conclusive). Philippine Statistics Authority 34 (9) Bright spots in the labor market - Sustained rise in private establishment employment Vulnerable employment on the decline - Strong growth in industry employment Philippine Statistics Authority 35 (1) Employment in Private Establishments on the Steady Rise (in percent) 20,000 15,000 (in ‘000) 12,423 12,950.00 13,283.00 2006 2007 2008 15,431.00 17,114.00 14,565.00 16,377.00 13,824.00 2009 2010 2011 2012 2013 10,000 5,000 0 Employment share of wage workers in private establishments rose steadily from 38.1% in 2006 to 44.9% in 2013 This suggests that more jobs are now being created in the economy by the private sector in recent years Philippine Statistics Authority 36 ………….on the back of strong growth in industry employment in recent years 7 6 5 4 3 2 1 0 -1 -2 -3 2007 2008 2009 Agriculture 37 2010 2011 Industry 2012 2013 Services Sector 2007 2008 2009 2010 2011 2012 2013 Agriculture 0.9 2.1 0.1 -0.7 2.6 -1.4 -2.1 Industry 2.5 -1.4 0.9 6.0 2.4 3.9 3.4 Services 4.4 2.1 5.4 4.2 3.8 1.9 2.9 Philippine Statistics Authority (2) Proportion of Vulnerable Employment on the Downtrend • Declining trend in the proportion of self-employed and unpaid family workers from 44.5% in 2006 to 38.3% in 2013 • A measure of vulnerable employment – one of the employment indicators in the Millennium Development Goals (MDGs) Philippine Statistics Authority 38 (3) Employment creation in BPO remained robust Annual Employment Growth rate (%): 2007-2013 8.4 Note the change in in in industry classification of BPO 2007-2011 – Real estate, renting and business activities 2012 – Break in data series 2013 – Administrative and support service activities 39 Philippine Statistics Authority DATA LIMITATIONS Short reference period (snapshot or stock of economically active persons) Absence of provincial data Data reliability subject to proxy respondents Break in the data series due to changes in reference period, coverage and population projection benchmark Change in definition unemployment 40 in April 2005 on Philippine Statistics Authority SOME GUIDELINES IN USING LFS DATA 1. Never use the term ”Job” as synonymous to EMPLOYMENT. The LFS is counting people at work and not number of “jobs”. 2. Comparison of data should be made on a “year-on-year” basis not on monthly/“survey round” basis – note: LFS data series is subject to seasonality. 3. Never use the term ”Quarter”. The LFS is based on a “past week” reference period not “QUARTER”. 4. Always bear in mind the “break” in the LFS data series, the existing data series covers the period 2006 to present. 5. Be cautious in comparing LFS with other sources of data. Philippine Statistics Authority 41 Employment: Persons or individuals at work - the LFS counts person at work not jobs - in the LFS, a person can be counted only once regardless of the number of jobs he/she held Job: an activity that a person does for a living - a set of tasks and duties which are carried out by, or can be assigned to, one or more person (ILO definition) - in establishments (payroll –statistics), a person can be counted several times depending on the number of jobs held Philippine Statistics Authority 42 The term job is really a misnomer. - in practice, the generation of job statistics does not exactly involve the counting of activities or tasks or duties - counting is tedious and cumbersome - it does not make sense to do this counting The object of measurement in job statistics is the same with LFS i.e., “person at work” or “employed person”. But the difference lies on the statistical measurement or manner of counting. In the LFS, a worker is counted only once during the reference week regardless of the jobs held –in accordance with mutually exclusive principle in the LFS. In the job statistics, a worker is counted every time his/her name appears in one payroll because he/she holds more than one job or changes jobs during the reference period. Philippine Statistics Authority 43 THANK YOU! URL: http://www.psa.gov.ph Philippine Statistics Authority 44