Introduction: With
Objective: To explore whether FDI is the economic driver of this growth engine, the present study tries to analyze the holistic as well as detailed picture of the impact of FDI on labour productivity and employment across different states in
Data/Methodology: The state-wise data covers 19 major states of
The study hypothesised that FDI with such intervening variables like gross capital formation, wage rate and per capita income exert direct influence on labour productivity and employment.
The SUR models postulated for the impact study are:
lnLPit =γs
s = 1, 2 .....8
t = 1, 2 ...10
Where LP is labour productivity; GCF and W are gross capital formation and wage rate respectively.
lnEit = γs + λ1slnFDIst + λ2slnPIst + λ3slnGCFst
s = 1, 2 .....8
t = 1, 2 ...10
Where, E is employment; PI and GCF are per capita income and gross capital formation respectively.
Three methods appropriate for this study have been made use of. They are Fixed Effects (FE), Random Effects (RE) and Seemingly Unrelated Regression (SUR) models. Panel data model gives a holistic view whereas SUR model gives a more detailed picture of the eight states of India during the post reform period over a period of ten years. The eight states of
Results: Results show that overall FDI has a positive impact on labour productivity but across region the benefit of FDI is quite uneven. The impact of FDI is negative in less developed states, while it is significant and positive in catching up states. However the labour productivity is growing only at the expense of employment. This tends to ponder that will liberalization make rich states richer with the poor states lagging behind or there can be any convergence across states through these reforms.