Title: Human Capital in China Presented by Chantelle Blachut
1Human Capital in ChinaPresented by Chantelle
Blachut Emiko Nishii
2Outline.
- Measuring Human Capital (HK) in China
- What do these results really tell us?
- Why is HK underinvested in, in China? (policy
issues) - Can further HK investment help to reduce the
income gap in China? (yes/No) - Policy Implications.
3Human Capital in China (2010).
- Measuring human capital in China
- - how is this approach superior?
- Contains larger time periods (1985-2007)
- Constructs separate human capital measures by
gender, location, and age - Takes life-time earnings into consideration
- (the JF approach).
4Human Capital in China (2010) Methodology.
- Step 1 estimating earnings for all individuals
in - the population
- Uses the fitted parameters estimated by the
annual Urban Household Survey (UHS) for 1986-1997
to generate the parameters for urban for
1985-2007. - Uses the CHNS to compute the urban-rural ratio
for 1985-2007 - Applies the above ratio to the imputed parameters
for the urban population to find the parameters
for rural.
5Human Capital in China (2010) Methodology.
- Step 2 estimating the lifetime expected earnings
- for all individuals in the population
- The life cycle is divided into 5 stages
- - retired, no school no work (Mgt60, Fgt55)
- - work, but no school (25ltMlt59, 25ltFlt54)
- - school work (16ltM/Flt24)
- - school but no work (6ltM/Flt15)
- - no school, no work (0ltM/Flt5)
6Human Capital in China (2010) Methodology
Contd.
- Step 3 To implement the JF method, the
- authors need to have data for
- annual population by age, sex and
- educational attainment (rural and
- urban).
- Problem data only exists for some years - for
all others we need to build it (by using a
perpetual inventory method) in order to
categorise population by age, sex, educational
attainment and location for any given year.
7Human Capital in China (2010) Methodology
Contd.
- Step 4 estimating lifetime earnings for all by
- taking into account the real income
- growth rate discount rate for
- Urban/Rural.
- Assumption MPLreal wage
- (i.e. GDP of secondary ind./ of laborurban
prod. Growth) - The discount rate4.58
8Human Capital in China (2010) Methodology
Contd.
- Total HK Stock, GDP and PK Stock
- Ratio of est. HK nom. GDP declined until 05-07.
- However total HK stock is gt total PK stock.
- HKPK appears to be continuously declining.
- Not clear if this indicates govt has overly
weighted investment in PK. - THK grown at 6.66 p.a. BUT GDP grew at 9.33.
- HK growth rate still much higher than other
countries.
9Human Capital in China (2010) Methodology
Contd.
- Per capita HK
- This increase in total HK could be driven solely
by population growth, or even demographic changes
(eg. size of retirement group). Thus we also need
to examine HK per capita ( total HK
non-retired portion of population). - Per capita HK Growth rates p.a.
10Human Capital in China (2010) Methodology
Contd.
- One more Step to devise Divisia Indices
- that look inside HK and determine
- what actually drives growth rates.
- The growth rate of aggregate HK stock is
calculated as a weighted sum of the growth rates
of the number of individuals across different
educational, age, gender and location categories.
- Role of 2 determinants of the growth rate of HK
p.a.
11Human Capital in China - what you need to
remember
- 1985 - 07 Total HK stock increased over 3 times
(6.66 p.a.). - The total HK in urban areas increased faster than
in rural (8.73 vs 4.44) - thus, the gap
continues to widen. - ? Per capita HK increased rapidly and from 1995
it has grown at the same rate as total HK (
education not population alone).
12Human Capital in China - what you need to
remember
- The gender gap in total HK has been widening on
the national level BUT diminishing in per capita
terms. - Education has a greater impact on HK accumulation
than gender has. - ? Did China under-invest in HK?
13Physical vs. Human Capital in China
- According to Heckman (2005), when compared with
world standards, the of GDP devoted to HK is
very low (e.g. in 2002, 3.3). - Restriction on the flow of resources investing
in education at different rates in different
regions - gtgt return on HK investment lt return on PK
investment.
14Inequality in HK Hukou Policy
- Hukou policy charges children of interregional
immigrants additional fees for schooling, that
can amount to as much as 10 of total family
income, just for the right to attend school. - Schooling is mostly funded at the local level
gtgtrich provinces produce more HK per capita than
poor provinces.
15How can this be a problem in the future?
- Lucasian growth HK is used entirely to apply
technologies imported from the tech. frontier in
the productive process. - As a country develops further (approaches the
technological frontier), more and more HK must be
used to innovate new technologies (Romerian
growth RD). - gtgt for the transition, large HK investment is
needed - gtgt existing inequality might be a big obstacle.
16Inequality in Literacy Rate.
17(No Transcript)
18Can Educational Expansion Improve Income
Inequality in China? Ning (2010).
- With the presence of the Hukou policy, can
further HK investment in education reduce
urban-rural inequality? - No! - Data the China Health and Nutrition Survey
(CHNS) data collected in 1997 and 2006. - Aim By using a quantile regression, investigates
the contribution of education to the convergence
of regional income.
19Can Educational Expansion Improve Income
Inequality in China? Ning (2010).
- Nine provinces are chosen in the study
(representative of a typical province). - Only takes the individuals with college and
university degrees as an example (huge gap in
income the avg. annual income in 200521,030.54
yuan. The max216,000 yuan, the min1200 yuan).
20Can Educational Expansion Improve Income
Inequality in China? Ning (2010).
- With the same level of education, income
inequality is driven by what? - where unit captures the type of work unit (e.g.
govt., state service, state-owned enterprises,
small collective enterprise1, otherwise 0),
unitscale is size of work unit, hukou is
household registration (1urban, 0rural).
21Can Educational Expansion Improve Income
Inequality in China? Ning (2010).
- Having a high degree is not sufficient to
guarantee a high income. Only entering a monopoly
sector, through a social network can ensure a
high and stable income. - Now, estimates a quantile regression model to
analyze the returns to the education rate at
different income distribution points. - The dependent variableyearly income.
- Now years of education is included as an
independent variable.
22Can Educational Expansion Improve Income
Inequality in China? Ning (2010).
- Results
- the return rates at 0.1, 0.25, 0.5, 0.75 and 0.9
point are 7.22, 6.8, 6.74, 5.58, and 5.24. - The return rate shows a tendency of decreasing
with income. - gtgt Further educational expansion helps little in
narrowing the income gap with the presence of the
Hukou policy.
23Can we lower regional inequality by investing in
Human Capital?
Build a prosperous and cultured, new socialist
countryside (1997).
24Human Capital, Economic Growth Regional
Inequality in China, (Li, et. al, 2007).
- Aim to examine the impact of HK, infrastructural
capital and foreign investment on economic growth
in China. - Data China Statistical Yearbook Census (1983,
1993, 2001) Annual Population change Survey
(State Statistical Bureau, 1996, 1998, 1999,
2003, 2003). - Section 5 Hypothetically examines the impact of
one-time increases in HK (and infrastructure)
investments on regional inequality.
25Human Capital, Economic Growth Regional
Inequality in China (contd).
- 1 Estimate national average rate of return p.a.
- of additional schooling to investment in
- higher education
- Internal rates of return to investment in
education.
(regional calculations are arithmetic means of
the constituent provinces.
Interior almost 52 of total population).
26Human Capital, Economic Growth Regional
Inequality in China (contd).
- 2. Interior region (black line) has very low pc
GDP - relative to the coast and North-East
(blue) (lt1/2). - Real p.c. GDP ratios.
27Human Capital, Economic Growth Regional
Inequality in China (contd).
28Human Capital, Economic Growth Regional
Inequality in China.
- In sum Investing in HK and higher education in
China, generates comparable, or higher returns,
in the less developed areas relative to the more
developed coastal region. - Therefore - a policy such as this, aimed at
fostering growth in regional educational
attainment levels, should be effective in
achieving the goals of economic efficiency and
humanitarian equality.
29Policy Implication.
- In understanding the importance of HK for
growth, reducing regional inequality to give the
right incentives to acquire skills, what should
happen first? - further educational expansion
- abolish Hukou policy opening the labour market
30Bibliography
- Heckman JJ (2005), Chinas Human Capital
Investment, China Economic Review, 16, pp. 50 -
70. - Li H, Liang, Y, Fraumeni, BM, Liu Z, Wang X
(2010), Human Capital in China, 31st Conference
of the International Ass. for Research in Income
and Wealth, St Gallen, Switzerland, August 26. - Li H, Fleisher, B, Qiang Zhao, M (2007) Human
Capital, Economic Growth, and Regional Inequality
in China, William Davidson Institute Working
Paper, No. 857, Jan. - Heckman, J (2003) Chinas Investment in Human
Capital. - Ning, G (2010) Can Educational Expansion Improve
Income Inequality in China? Evidences from the
CHNS 1997 and 2006 Data.
31Another interesting literature
- If you are interested in reading a paper
assessing the HK investment in China for the past
decades (if China underinvested in HK? Or China
actually is moving to the right direction in
terms of HK investment), the following meta-study
might be helpful. - Liu, E (2005).A META-ANALYSIS OF THE ESTIMATES
OF RETURNS TO SCHOOLING IN CHINA. University of
Houston.