Jagadish Prasad Sahu
@iimkashipur.ac.in
Assistant Professor
Indian Institute of Management Kashipur
RESEARCH INTERESTS
Macroeconomics, and International Economics
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Sitakanta Panda and Jagadish Prasad Sahu
Informa UK Limited
Najul Laskar, Jagadish Prasad Sahu, and Khalada Sultana Choudhury
Emerald
PurposeThe main purpose of the study is to investigate the impact of gender diversity both at the board and workforce level on firm performance (FP) in the Indian context.Design/methodology/approachThis study is based on annual data of 200 companies listed on Bombay Stock Exchange (BSE) for the period 2012–2019. The authors have used the fixed-effects (FE) regression and system generalized method of moments to estimate the impact of board gender diversity and workforce gender diversity (WGD) on FP. The authors have used Blau's Index (BI) and Shannon's Index (SI) to measure gender diversity. Further, the authors have used return on assets and Tobin's Q (TBQ) to measure FP.FindingsThe authors' panel regression results suggest that board gender diversity and WGD have a positive and statistically significant impact on FP. The authors' findings are robust across different methods of estimation and alternative measures of FP.Originality/valueThis paper examines the impact of gender diversity both at the board and workforce level on FP of 200 companies listed on BSE. The authors' study contributes to the literature that is sparse in the Indian context and provides new insights on the impact of board and WGD on FP. The findings have useful policy implications. To achieve better performance, it is imperative to appreciate gender diversity at the governance and workforce level in a fast-growing economy like India.
Anirudha Barik and Jagadish Prasad Sahu
Wiley
Jagadish Prasad Sahu
Informa UK Limited
Abstract This paper examines the effect of foreign direct investment (FDI) inflows on host country’s economic growth for a group of 45 developing countries for the period 1990–2014. Using the pooled mean group (PMG) regression method, we estimate the long-run and the short-run impact of FDI inflows on growth rate of GDP per capita. The PMG regression results suggest that the growth rate of GDP per capita and its covariates are cointegrated, implying the presence of a long-run equilibrium relationship among the variables. Our results suggest that FDI inflows have significant positive impact on economic growth of the recipient countries both in the long-run and in the short-run. We find that the long-run effect of FDI inflows on economic growth is higher in the emerging market economies as compared to the non-emerging market economies. FDI inflows have significant positive effect on the long-run economic growth in Asia and Africa region.
Jagadish Prasad Sahu
SAGE Publications
This article examines whether large inflows of foreign direct investment (FDI) behave differently from smaller inflows in a sample of 56 developing countries for the period 1990–2017. We use the quantile regression method to investigate whether the responsiveness of FDI inflows to various push and pull factors differs across the conditional distribution of the former. Our results show that the magnitudes of the coefficients are significantly different across quantiles of FDI inflows for a number of covariates. That is to say, the coefficients are significantly larger for the upper quantiles compared to the lower ones. The interquantile regressions, which estimate the quantile differences, confirm the finding that large FDI inflows are more responsive to their covariates than smaller inflows. Our results suggest that large inflows of FDI are indeed different, both quantitatively and qualitatively, from smaller inflows. Therefore, it is necessary to investigate the causes of large and smaller inflows separately for a better understanding of the determinants of FDI inflows to developing countries. JEL Classification: F21, F23, F41
Jagadish Prasad Sahu
Emerald
Purpose The purpose of this paper is to examine whether surge in foreign direct investment (FDI) inflows leads to surge in economic growth in 52 developing countries for the period 1990-2014. Design/methodology/approach The author used a threshold approach to identify surge incidences in gross domestic product (GDP) per capita growth rates and FDI inflows (measured as percentage of GDP) for each country included in the sample. Three different criteria are used to identify surge instances. As a preliminary analysis the author used the probit and complementary log–log regression methods to estimate the likelihood of growth surge occurrence. To correct the potential endogeneity problem the author jointly estimated the growth surge and FDI surge equations using the recursive bivariate probit (RBP) regression. Findings The author found that East Asia and the Pacific region has highest rate of growth surge incidences followed by South Asia. The results suggest that surge in FDI inflows significantly increases the likelihood of growth surge. The finding is robust to alternative surge definitions and methods of estimation. Practical implications The analysis reveals that inbound FDI flow is a critical driver of economic growth in developing countries. Large FDI inflows matters for achieving rapid economic growth. Therefore developing countries should adopt favourable policies to attract more FDI. Policymakers should focus on improving the investment climate of the country to boost domestic investment and to attract larger amount of FDI into the economy. Originality/value To the best of the author’s knowledge this is the first study to examine whether surge in FDI inflows stimulates surge in economic growth in developing countries. The analysis reveals that FDI surge is a robust predictor of rapid economic growth in developing countries.
Jagadish Prasad Sahu and Anirudha Barik
Springer Singapore
Kunal Sen, Sabyasachi Kar, and Jagadish Prasad Sahu
Oxford University Press
This chapter shows three distinctive growth episodes in India’s recent history. First, a period of slow growth from 1950 to 1992, due to the presence of a dominant political party, a prevalence of powerbrokers, and a disordered closed deal environment which slowly changed in the 1980s. The second period of growth from 1993 to 2002 was spurred by a move to a competitive political settlement, a growing trust between economic and political elites which opened up the deal space, and a move towards more magicians within the economy. The third period of mixed growth was caused by the rise of regional parties, the increased influence of the magicians and powerbrokers within the economy, and a shift to a more closed deals space. This analysis highlights the influence of feedback effects in India, both positive and negative, and how each distinctive period helped shape the next stage of growth.
Jagadish Prasad Sahu and Chandan Kumar Mohanty
Informa UK Limited
This paper examines the natural rate of crime hypothesis in the Indian context. We use annual time series data on aggregate as well as specific crime categories for the period 1953–2012. Various types of unit root tests – conventional as well as unit root test with endogenously determined structural breaks – are used to identify whether the respective crime rates are stationary. The empirical findings suggest that majority of the crime series are stationary with structural breaks implying the existence of a natural rate of crime in India in the long run. Specifically, total crimes along with individual crime types such as burglary, counterfeiting, criminal breach of trust, dacoity and theft are stationary with two structural breaks, whereas kidnapping & abduction and cheating are stationary with one break. Our findings are consistent with the literature which argues that crimes with pecuniary motives are more likely to have natural rates.