ISSN (Print) - 0012-9976 | ISSN (Online) - 2349-8846

A+| A| A-

FDI, GDP and Regional Disparity

An Empirical Study to Cross-check the Myth and Reality

Foreign direct investment reveals the tendency to fl ow to the industrial agglomerates. Some scholars express the concern that the skewed distribution of FDI can worsen the regional disparity. This article reveals that FDI has limited and unexpectedly negative effects on the Indian gross domestic product. Hence, the fear that skewed FDI infl ow can worsen regional disparity stands rejected.

Foreign direct investment (FDI), in the broader sense, is more than mere physical capital because the entry of FDI increases the inflow of foreign exchange along with knowledge capital, technology, and brand equity (Balasubramanyam et al 1996). Contemporary studies reveal that the impact of FDI on the growth of the host country is expected to be manifold (De Mello 1997). It can supplement domestic capital formation and spur industrial progress. Depending on this expectation, India has redesigned its economic policies, liberalised entry barriers, and overhauled administrative machinery for attracting a rising volume of FDI inflows into the country. Policymakers feel that the influx of FDI can increase the production base, generate employment, accelerate the gross domestic product (GDP) growth, increase the inflow of foreign exchange, and ease the balance of payment (BOP) crisis. If all these expectations prove true, a region receiving the lions share of FDI is sure to grow at a faster rate than the other regions not receiving FDI. If an empirical study can substantiate this belief, there is no denying the fact that the concentration of FDI inflows can add to economic disparity across the regions and states of the country.

This article has been undertaken to examine if the inflow of FDI augments the economic growth and aggravates the regional imbalance using some simple statistical methods. Indeed, by this time, many researchers have used robust statistical methods, such as time series, co- integration, structural equation modeling, and panel data analysis. These methods have inherent merits. However, this analysis avoids dependence on programmed software. Instead, it points to the visible economic reality, relies on relevant data, and picks up simple statistical methods for drawing valid inferences.

Dear Reader,

To continue reading, become a subscriber.

Explore our attractive subscription offers.

Click here


To gain instant access to this article (download).

INR 59

(Readers in India)

$ 6

(Readers outside India)

Published On : 20th Jan, 2024

Support Us

Your Support will ensure EPW’s financial viability and sustainability.

The EPW produces independent and public-spirited scholarship and analyses of contemporary affairs every week. EPW is one of the few publications that keep alive the spirit of intellectual inquiry in the Indian media.

Often described as a publication with a “social conscience,” EPW has never shied away from taking strong editorial positions. Our publication is free from political pressure, or commercial interests. Our editorial independence is our pride.

We rely on your support to continue the endeavour of highlighting the challenges faced by the disadvantaged, writings from the margins, and scholarship on the most pertinent issues that concern contemporary Indian society.

Every contribution is valuable for our future.