12.11.2014 Views

[Dec 2007, Volume 4 Quarterly Issue] Pdf File size - The IIPM Think ...

[Dec 2007, Volume 4 Quarterly Issue] Pdf File size - The IIPM Think ...

[Dec 2007, Volume 4 Quarterly Issue] Pdf File size - The IIPM Think ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

REIMAGINING INDIA<br />

Table 2. India In <strong>The</strong> Cross Section: Share Of Manufacturing And Services, Early 1980s<br />

Share Of Output (1981) Share Of Employment (1983)<br />

Manufacturing Services Industry Services<br />

(1) (2) (3) (4) (5) (6) (7) (8)<br />

Log GDP Per-capita 15.37 21.58 36.27** 27.81 26.76 22.09 66.5** 67.20**<br />

(14.58) (13.75) (17.01) (17.79) (20.8) (20.8) (29.07) (30.07)<br />

Log GDP Per-capita -0.73 -1.09 -1.95* -1.46 -1.17 -0.92 -3.15* -3.19*<br />

(0.88) (0.83) (1.03) (1.08) (1.2) (1.2) (1.71) (1.76)<br />

India Indicator 4.58*** 2.33 -6.50*** -3.55** -0.260 0.560 -7.41** -7.53**<br />

(1.25) (1.76) (1.3) (1.61) (2.52) (2.82) (3.27) (3.63)<br />

Control for country <strong>size</strong> No Yes No Yes No Yes No Yes<br />

Observations 101 101 122 122 44 44 43 43<br />

Notes: Robust standard errors are reported in parentheses.<br />

***represents significance at 1 percent, **represents significance at 5 percent, *represents significance at 10 percent levels.<br />

Country <strong>size</strong> is measured by area in square kilometers.<br />

share in manufacturing seems low, especially<br />

when compared with a number of<br />

East Asian countries and China.<br />

But from the work of Kuznets and<br />

Chenery, we know that the manufacturing<br />

share varies with the level of development,<br />

rising and then falling off once a<br />

country approaches a high level of income.<br />

So we examine whether India’s<br />

share of manufacturing is too low after<br />

correcting for its level of income and its<br />

square (to account for non-linearities) 2 .<br />

Correcting only for income, India is a<br />

positive outlier among countries in its<br />

share of value added in manufacturing in<br />

1981 (Table 2). Its share significantly exceeds<br />

the norm by 4.6 percentage points<br />

(see Table 2, column 1). After correcting<br />

for country <strong>size</strong>, the coefficient on the<br />

India indicator declines to 2.3 percentage<br />

points in 1981 which is not statistically<br />

significant (column 2). When we compare<br />

the shares of industrial sector employment<br />

in total employment across countries,<br />

India is again not an outlier (Table<br />

2, columns 5 and 6) 3 .<br />

What were the characteristics of industry<br />

in 1980? <strong>The</strong> first industry characteristic<br />

we examine is labor intensity, for<br />

which we use as a proxy the share of wages<br />

in value added for the industry in a<br />

country from the UNIDO database, averaged<br />

across a broad group of developing<br />

countries. For each country, we calculate<br />

Compared with countries at a similar level of development<br />

and <strong>size</strong>, in 1981 India had approximately the normal<br />

share of output and employment in manufacturing. Output<br />

in services was below the norm, as was employment.<br />

the ratio of value added in industries with<br />

above-median labor-intensity to the value<br />

added in industries with below-median<br />

labor-intensity. If Indian manufacturing<br />

generated relatively more value added in<br />

labor intensive industries in 1981, then in<br />

a cross-country regression of this ratio<br />

against log per capita GDP, its square,<br />

and an indicator for India, the India indicator<br />

should be positive and significant.<br />

However, the coefficient is insignificant<br />

suggesting that India does not have more<br />

value added coming out of labor intensive<br />

industries.<br />

<strong>The</strong> second characteristic we examined<br />

is skill intensity. We used data from South<br />

Africa contains on 45 sectors and five<br />

primary factors of production—capital<br />

plus four categories of labor: highly<br />

skilled, skilled, unskilled, and informal<br />

sector. We use the share of remuneration<br />

of the highly skilled and skilled categories<br />

of workers in total value as a proxy<br />

for the skill intensity of an industry. 4 If<br />

Indian manufacturing generated relatively<br />

less value added in skill intensive<br />

industries in 1981, then in a cross-country<br />

regression of this ratio against log per<br />

capita GDP, its square, and an indicator<br />

for India, the India indicator should be<br />

negative and significant. What we find is<br />

striking—even by 1981, India specialized<br />

more than the average country in skillintensive<br />

industries.<br />

A third characteristic we examine is<br />

156 THE <strong>IIPM</strong> THINK TANK

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!