Over the past two decades, the continent of Asia received a
large amount of FDI from developed regions. Additionally, in the Asia,
India and China received a major chunk of foreign direct investment and
FDI flows to Pakistan also increased significantly. Many studies show
that the inflow of FDI plays a significant role in generating employment
in host countries. The objective of this study is to undertake an
empirical study on creation of employment opportunities by FDI during
1985-2008 in the Asian region. In this regard, we have taken the sample
of three countries i.e. Pakistan, India and China from the same region.
The Im-Pesaran-Shin (IPS) test of unit root is applied to find out the
order of integration. The long run relationship is investigated through
the Pedroni (1999) test of panel cointegration. At last, the Seemingly
Unrelated Regression (SUR) method is used for estimation of the impact
of FDI inflows on employment levels in three countries. Implications for
FDI policy are spelt out in the light of these empirical results. JEL
classification: F23, E24, C23 Keywords: FDI, Employment, Panel
Data
Industry characteristics is one of the main factors that
determines a firm’s business risk [Kale, Hakansson, and Platt (1991)],
and a single information can affect more than one security price change,
perhaps even the whole market. Lessard (1974, 1976) explains that
industry plays an important role in explaining national market
volatility. One of the reasons for stock index behaviour are attributed
to industrial composition as some industries are internally more
volatile than the other [Grinold, Rudd, and Stefek (1989)]. Moreover,
some sectors show a high degree of global integration, for example, the
finance sector [Roll (1992)]. Similarly, consumer goods, fuel and
energy, and transportation sectors are extremely important for any
country index. King (1966) suggests that if a significant difference in
industry risk premia is observed, then we need to isolate the market
risk premia and industry risk premia. He observed that the industry
components of variance showed much less change from sub-period to
sub-period. Significant differential impact of regulatory policy on cost
of capital across various sectors was also observed [Isimbabi (1994);
Prager (1989)].
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