Devi Prasad Dash

Bio: Devi Prasad Dash is an academic researcher from Indian Institute of Technology, Jodhpur. The author has contributed to research in topics: Cointegration & Economics. The author has an hindex of 9, co-authored 26 publications receiving 402 citations. Previous affiliations of Devi Prasad Dash include Maharashtra Institute of Technology & Indian Institute of Management Rohtak.

The effect of urbanization, energy consumption, and foreign direct investment on the carbon dioxide emission in the SSEA (South and Southeast Asian) region

Abstract: This study examines the relationship between urbanization, energy consumption, foreign direct investment (FDI), and carbon dioxide (CO2) emission of 17 countries in the South and Southeast Asian (SSEA) region during the period 1980–2012. In order to find out the intensity of CO2 emission in 17 countries, we classify the total sample countries into three sub-groups, namely high, middle, and low-income countries. These three sub-panels are constructed based on their gross national income per capita of countries. Pedroni cointegration result shows that urbanization; primary energy consumption, FDI, and CO2 emission are cointegrated in all sub-groups of countries, regardless of their levels of national income per capita. Furthermore, while incorporating the fossil fuel energy consumption in place of primary energy consumption in the alternative specification of regression, the result suggests a cointegrating relationship between fossil fuel energy consumption, FDI, urbanization, and CO2 emission in middle-income countries. Nevertheless, Westerlund cointegration results are more or less in the line of Pedroni results. Furthermore, the results reveal that primary energy consumption, fossil fuel energy consumption, and FDI are substantially affecting the CO2 emission in the SSEA region. Moreover, the empirical findings suggest that in middle-income countries, both primary and fossil fuel energy consumption are considerably increasing the CO2 emission, and leading to greenhouse gas problem in the SSEA region.

The Effects of Capital Formation on Economic Growth in India: Evidence from ARDL-bound Testing Approach:

Abstract: This article examines the impact of capital formation on economic growth in India covering the period from 1970 to 2012. This paper traces a long-run equilibrium relation between capital formation and economic growth and other control variables by using autoregressive distributed lag (ARDL) model. The error correction (ECM) model shows that the capital formation, trade openness, exchange rate and total factor productivity positively affect the economic growth and the inflation negatively affects the economic growth in the short run. It is recommended that government increases the level of capital formation in order to achieve a higher level of economic growth.

Foreign Aid, FDI and Economic Growth in South-East Asia and South Asia

Abstract: We examine the interrelationship among foreign aid, foreign direct investment (FDI) and economic growth in South-East Asia (SEA) and South Asia (SA) during 1980–2016. The findings from alte...

Effects of Drought and Flood on Farmer Suicides in Indian States: An Empirical Analysis

Abstract: The study examines the effects of drought and flood on farmer suicides using state-level panel data from 17 Indian states for the period 1995–2011. The empirical estimates based on unconditional fixed effect Negative Binomial model show that while drought significantly increases farmer suicides, flood has no direct impact on the same. The results also show that incidence of farmer suicides is higher in cotton producing states of India because these states experience frequent drought conditions. Furthermore, our findings reveal that states with high levels of rural poverty experience a higher number of farmer suicides as a result of frequent occurrence of droughts and moderate floods. To obtain robust results, fixed effect Poisson model has been used in the study. Overall, the findings are consistent with unconditional fixed effect Negative Binomial model. Hence, in light of the results obtained by this study, it is important for the government to devise suitable policies such as loan waiver for poor farmers, compulsory crop insurance scheme, improving farm income through revamping of agricultural marketing policies, creating public awareness among farmers and providing micro-irrigation facilities as well as introducing alternative cropping pattern in the drought prone areas in order to reduce the occurrence of farmer suicides.

The effects of electricity consumption, economic growth, financial development and foreign direct investment on CO2 emissions in Kuwait

Abstract: This study examined the empirical effects of economic growth, electricity consumption, foreign direct investment (FDI), and financial development on carbon dioxide (CO2) emissions in Kuwait using time series data for the period 1980–2013. To achieve this goal, we applied the autoregressive distributed lag (ARDL) bounds testing approach and found that cointegration exists among the series. Findings indicate that economic growth, electricity consumption, and FDI stimulate CO2 emissions in both the short and long run. The VECM Granger causality analysis revealed that FDI, economic growth, and electricity consumption strongly Granger-cause CO2 emissions. Based on these findings, the study recommends that Kuwait reduce emissions by expanding its existing Carbon Capture, Utilization, and Storage plants; capitalizing on its vast solar and wind energy; reducing high subsidies of the residential electricity scheme; and aggressively investing in energy research to build expertise for achieving electricity generation efficiency.