Population Age Structure Changes and Demographic Dividend in Viet Nam: Findings from NTA Approach

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Population Age Structure Changes and Demographic Dividend in Viet Nam: Findings from NTA Approach GIANG THANH LONG*, PHAM NGOC TOAN** & PHAM MINH THU** (*NEU & IRC; ** ILSSA, Hanoi, Viet Nam) Presenter: GIANG THANH LONG National Economics University & Indochina Research and Consulting 08 December 2011, Belo Horizonte, Brazil

Contents of Presentation 1. Demographic changes in Vietnam 2. Data and estimation 3. Estimates and policy implications 4. Concluding remarks 5. On going work and next steps

1. DEMOGRAPHIC CHANGES IN VIET NAM Table 1. Age structure of the Vietnamese population, 1979-2009 Year Number of persons (millions) Percentage of the total population Total 0-14 15-59 60+ 0-14 15-59 60+ 1979 53.74 23.40 26.63 3.71 41.8 51.3 6.9 1989 64.38 24.98 34.76 4.64 39.2 53.6 7.2 1999 76.33 25.56 44.58 6.19 33.0 58.9 8.1 2009 85.79 21.45 56.62 7.72 25.0 66.0 9.0 Source: Population and Housing Census 1979, 1989, 1999 and 2009 Table 2. Ageing index and potential support ratio in Viet Nam, 1979-2049 Year 1979 1989 1999 2009 2019 2024 2029 2034 2039 2044 2049 Aging index 16 17 24 36 50 65 85 107 124 141 158 Potential support ratio 7.44 7.43 7.33 7.27 5.29 4.60 3.83 3.27 2.88 2.51 2.20 Source: Population and Housing Census 1979, 1989, 1999 and 2009 and GSO (2010) Table 3. Feminization of aging, 2009-2049 Age group 2009 2019 2029 2039 2049 60-69 131 119 109 104 105 70-79 149 140 127 116 111 80+ 200 179 164 143 130 Source: GSO (2011)

1. DEMOGRAPHIC CHANGES IN VIET NAM The time needed for transforming from an aging to an aged population is much shorter than other countries with higher income levels. Time needed to move from aging to aged in some countries Source: Kinsella and Gist (1995); U.S. Census Bureau (2005); Viet Nam: GSO (2010)

1. DEMOGRAPHIC CHANGES IN VIET NAM 100% 90% Aged 65 & above 80% 70% Children under 15 60% 50% 40% 30% 20% Working population 15 64 10% 0% 2009 2014 2019 2024 2029 2034 2039 2044 2049 DDR 44.7 42.2 42.6 44.0 44.8 46.2 48.7 51.6 55.3

1. DEMOGRAPHIC CHANGES IN VIET NAM Viet Nam s Population Pyramid 100+ 90-94 80-84 70-74 60-64 50-54 40-44 30-34 20-24 10-14 100+ 90-94 80-84 70-74 60-64 50-54 40-44 30-34 20-24 10-14 0-4 0-4 6000 4000 2000 0 2000 4000 6000 6000 4000 2000 0 2000 4000 6000 Male Female Male Female 2005 2050

2. DATA & ESTIMATION We use the data from the Vietnam Household Living Standards Survey (VHLSS) in 2008. The survey includes 38,523 persons living in 9,189 households. They are representative for all regions, urban and rural areas. The survey is conducted at household level, but provides a lot of individual information, such as age, gender, education, working status, and relation to household head. Labor income and consumption are at household level.

2. DATA & ESTIMATION We also use the Input Output Table (National Accounts System) 2007 for calculating public consumption (on education, health, and others) and controlling macro balance. Estimate the per capita age profile for the variable using household survey data or administrative records. Per capita age profiles are estimates of per capita values by single year of age (0 90+). All consumption and labor production can be assigned to individuals (public consumption follows private consumption structure by age). 8

2. DATA & ESTIMATION 9

2. DATA & ESTIMATION Modeling the First Dividend Given constant productivity, changes in population age structure affect the economic support ratio: Nt () ( apat ) (,) a L() t ( a) P( a,) t a where α(a) and γ(a) are the age profiles of per capita consumption and labor income, and P(a,t) is the population Economic Support Ratio : L(t)/N(t)

3. ESTIMATES AND POLICY IMPLICATIONS Per capita consumption (1.000VND/year) 11

3. ESTIMATES AND POLICY IMPLICATIONS Per capita labor income (1.000VND/year) 12

3. ESTIMATES AND POLICY IMPLICATIONS Per capita consumption and labor income, 2007 13

3. ESTIMATES AND POLICY IMPLICATIONS Lifecycle deficit (1.000VND/person/year) 14

3. ESTIMATES AND POLICY IMPLICATIONS Summary of the Lifecycle Deficit Age of lifecycle surplus: 23 53 Total consumption: 827,189 billion VND Total labor income: 611,659 billion VND Total deficit: 215,620 billion VND 15

3. ESTIMATES AND POLICY IMPLICATIONS Age 0-19 (Child) 20-39 (Young) 40-59 (Middle-age) 60+ (Elderly) YL 14,557 313,595 256,232 27,184 C 145,831 207,765 208,101 265,493 C-edu 24,937 10,578 356 6 C-health 6,408 7,473 8,488 16,807 C-other 114,486 189,713 199,257 248,680 Deficit -131,273 105,830 48,132-238,309 Total 611,569 827,189 35,877 39,176 752,136-215,620 Note: Age categorization is based on Malmberg s four stages of demographic transition

3. ESTIMATES AND POLICY IMPLICATIONS Economic Support Ratio, 1950 2050

3. ESTIMATES AND POLICY IMPLICATIONS First Demographic Dividend Given 2008 labor income and consumption patterns, the first demographic dividend in Vietnam will last for about 44 years, from 1976 to 2020. It means, for now, Viet Nam will have only 10 years to grasp it

Source: JICA (2003) 3. ESTIMATES AND POLICY IMPLICATIONS

4. CONCLUDING REMARKS Viet Nam has been going through the first demographic dividend, which happens during 1976 2020. Such dividend should be well realized and positioned in any socioeconomic strategy. Demographic opportunity is only necessary condition, while domestic policy environment is sufficient condition for taking advantages of population in economic growth and development.

4. CONCLUDING REMARKS BONUS or ONUS depends on how individuals, policy makers, and the whole society comprehend the nuances of demographic changes, so as to take advantages of positive impacts from such changes on economic growth and development.

5. ON GOING WORK AND NEXT STEPS On going: Revising/updating estimates using 1992 2010 labor income and consumption trends. Plan: Disaggregation by gender Disaggregation by area (urban vs. rural). Possible topics applying NTA: Population aging and generational welfare: What can Vietnam learn from other countries NTA? Toward an aging population: Reshaping social protection in Vietnam. Aging, poverty and the role of pensions: A genderbased analysis.

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