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Aruna Kumar Dash

Biographic Data

ID6646326
NAMEAruna Kumar Dash
GIVEN NAMESAruna Kumar
FAMILY NAMEDash
SIGNATUREDASH A K
AFFILIATIONSICFAI Foundation for Higher Education
ORCID0000-0003-3882-258X
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS1
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Reconciling the climate finance, energy access, human capital, and institutional quality nexus for sustainable food security in South Asia

    Biswanath Behera, Neha Sethi et al.•ARTICLE•International Journal of…•2025

    South Asia is home to 387 million severely food-insecure people, making it crucial to opt for sustainable solutions to ensure food security (FS), which aligns with the UN’s Sustainable Development Goal 2.1. Thus, this study unveils whether agrifood climate finance (ACF) and access to electricity (ELC) help induce FS, considering six South Asian countries from 2000 to 2022 using the cross-sectionally augmented autoregressive distributed lag (CS-AR…

  • The linkage between FDI and energy use in the case of emerging market economies

    Open Access•Badri Narayan Rath, Aruna Kumar Dash et al.•ARTICLE•Environment Development and…•2024

  • Lethal attraction

    Devi Prasad Dash, Aruna Kumar Dash et al.•ARTICLE•Asia Pacific Journal of Tourism…•2024•References: 6

  • Does globalization affect export performance in India? An empirical insight

    Open Access•Aruna Kumar Dash•ARTICLE•Journal of Public Affairs•2020•References: 1

    The present paper examines the effect of economic globalization on India's aggregate export performance during the period from 1995:M1 to 2016:M12. We use various macroeconomic variables such as export, relative price, nominal effective exchange rate (NEER), GDP per capita, and economic globalization. We employ Auto Regressive Distributed Lag (ARDL) model to find out the long‐run equilibrium relationship among the variables considered. The empiri…

  • Education, human error, and road crash risk

    Open Access•Devi Prasad Dash, Neha Sethi et al.•ARTICLE•Journal of Public Affairs•2020•Cited by: 1

    This study examines the road accident rates from 29 Indian states and 6 Union Territories during 2006–2015. In this paper, we have employed several empirical techniques such as regression, generalized method of moments (GMM), and threshold regression models to examine how education and attitude of the drivers impact the road accident rates. In our empirical analysis, we demonstrate that lawless driving is found to be positive and statistically si…

  • Identifying the causes of road traffic accidents in India

    Open Access•Devi Prasad Dash, Neha Sethi et al.•ARTICLE•Journal of Public Affairs•2019

    This study utilizes data for the period 2006–2015 to estimate the determinants of road fatality rates in the Indian states. We employ baseline regression, where the total traffic fatalities, total traffic injuries, rural road fatalities, and urban road fatalities are the functions of human errors in driving, weather conditions, and some control variables. This paper is exclusively focussed upon different sets of human‐driven factors in influencin…

  • Education, human error, and road crash risk

    Open Access•Devi Prasad Dash, Neha Sethi et al.•ARTICLE•Journal of Public Affairs•2020•Cited by: 1

    This study examines the road accident rates from 29 Indian states and 6 Union Territories during 2006–2015. In this paper, we have employed several empirical techniques such as regression, generalized method of moments (GMM), and threshold regression models to examine how education and attitude of the drivers impact the road accident rates. In our empirical analysis, we demonstrate that lawless driving is found to be positive and statistically si…

  • Identifying the causes of road traffic accidents in India

    Open Access•Devi Prasad Dash, Neha Sethi et al.•ARTICLE•Journal of Public Affairs•2019

    This study utilizes data for the period 2006–2015 to estimate the determinants of road fatality rates in the Indian states. We employ baseline regression, where the total traffic fatalities, total traffic injuries, rural road fatalities, and urban road fatalities are the functions of human errors in driving, weather conditions, and some control variables. This paper is exclusively focussed upon different sets of human‐driven factors in influencin…

  • Does globalization affect export performance in India? An empirical insight

    Open Access•Aruna Kumar Dash•ARTICLE•Journal of Public Affairs•2020•References: 1

    The present paper examines the effect of economic globalization on India's aggregate export performance during the period from 1995:M1 to 2016:M12. We use various macroeconomic variables such as export, relative price, nominal effective exchange rate (NEER), GDP per capita, and economic globalization. We employ Auto Regressive Distributed Lag (ARDL) model to find out the long‐run equilibrium relationship among the variables considered. The empiri…

  • Education, human error, and road crash risk

    Open Access•Devi Prasad Dash, Neha Sethi et al.•ARTICLE•Journal of Public Affairs•2020•Cited by: 1

    This study examines the road accident rates from 29 Indian states and 6 Union Territories during 2006–2015. In this paper, we have employed several empirical techniques such as regression, generalized method of moments (GMM), and threshold regression models to examine how education and attitude of the drivers impact the road accident rates. In our empirical analysis, we demonstrate that lawless driving is found to be positive and statistically si…

  • The linkage between FDI and energy use in the case of emerging market economies

    Open Access•Badri Narayan Rath, Aruna Kumar Dash et al.•ARTICLE•Environment Development and…•2024

  • Lethal attraction

    Devi Prasad Dash, Aruna Kumar Dash et al.•ARTICLE•Asia Pacific Journal of Tourism…•2024•References: 6

  • Reconciling the climate finance, energy access, human capital, and institutional quality nexus for sustainable food security in South Asia

    Biswanath Behera, Neha Sethi et al.•ARTICLE•International Journal of…•2025

    South Asia is home to 387 million severely food-insecure people, making it crucial to opt for sustainable solutions to ensure food security (FS), which aligns with the UN’s Sustainable Development Goal 2.1. Thus, this study unveils whether agrifood climate finance (ACF) and access to electricity (ELC) help induce FS, considering six South Asian countries from 2000 to 2022 using the cross-sectionally augmented autoregressive distributed lag (CS-AR…

Economics (5 works) · Business (3 works) · Economic geography (2 works) · Empirical research (2 works) · Energy, Environment, Economic Growth (2 works) · Engineering (2 works) · Geography (2 works) · International economics (2 works) · Law (2 works) · Law (2 works)

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