Malayaranjan Sahoo
@uniten.edu.my
Postdoctoral Researcher, Institute of Energy Policy and Research
Universiti Tenaga Nasional
EDUCATION
I am currently working as a postdoctoral researcher at Tenaga Nasional University (UNITEN), Malaysia.
RESEARCH, TEACHING, or OTHER INTERESTS
Economics, Econometrics and Finance, Renewable Energy, Sustainability and the Environment, General Economics, Econometrics and Finance, Economics and Econometrics
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Narayan Sethi, Saileja Mohanty, Aurolipsa Das, and Malayaranjan Sahoo
SAGE Publications
This study aims to empirically investigate the short-term and long-term effects of healthcare expenditure, institutional quality and domestic and foreign investments on the economic growth of South Asian countries during the period 1996–2018. The pooled ordinary least squares (OLS) and random effects models, Johansen–Fisher cointegration test and Granger causality test have been employed to assess the short-term and long-term relationships and the direction of causality among the variables. The cointegration tests indicate the existence of a long-term equilibrium among the variables. The results reveal that there runs a bidirectional causality from health expenditure to economic growth in the concerned countries in the short run. Further, institutional quality is seen to have a unidirectional effect on health expenditure. Therefore, the authorities of the South Asian nations are required to strengthen the accessibility to and affordability and accountability of the healthcare services being provided to their population.
Malayaranjan Sahoo, Patita Paban Mohanty, Shreyasee Kaushik, Muhummad Khairul Islam, and Lisma Rourt
Springer Science and Business Media LLC
Malayaranjan Sahoo, Shreyasee Kaushik, Mohini Gupta, Muhummad Khairul Islam, and Priyanka Nayak
Wiley
AbstractTo achieve sustainable development goal (SDG) 7 the world needs a lot of catching up. India has been at the forefront of renewable and clean energy missions and its ecological footprint of 0.8 global hectares fares quite well vis‐à‐vis the world average. This study, spanning from 1990 to 2021, investigates the impact of structural changes, technological innovation, and renewable energy adoption on India's ecological footprint, utilizing a novel dynamic Autoregressive Distributed Lag (ARDL) simulation for both short and long‐term analysis. We find that agriculture exerts a significant increase in the ecological footprint, both in the long run and the short run. Similarly, industry value added has a positive and statistically related to the ecological footprint. However, the result of the service sector indicates negative influence on ecological footprint in the long run, but a positive and significant relation with ecological footprint in the short run. Technological innovation has shown a favorable effect on the environment by reducing ecological footprint. Renewable energy consumption has also enhanced environmental quality by reducing ecological footprint in both short run and long run. To reach SDG 7 goals and lower India's ecological footprint, policy implications include promoting renewable energy, sustainable practices in agriculture and industry, and encouraging technological innovation.
Malayaranjan Sahoo, Narayan Sethi, and Miguel Angel Esquivias Padilla
Elsevier BV
Malayaranjan Sahoo and Narayan Sethi
SAGE Publications
This article explores the relationship among financial globalization, trade openness and economic growth for the select South Asian countries, that is, Bangladesh, Bhutan, India, Pakistan and Sri Lanka over the time period 1990–2017. We have applied panel unit root test like that of Im–Pesaran–Shin (IPS) and Levin–Lin–Chu (LLC) to check the stationarity of the variables. Kao, Fisher and Pedroni’s residual cointegration test has been considered to find out the long-run relationship among the variables. The cointegration results confirm that there exists a long-run relationship among the considered variables. The pairwise Granger Causality test confirms that there is a unidirectional causal relationship between growth and financial globalization, growth and foreign direct investment (FDI) and trade openness and financial globalization. Further, full modified ordinary least square (FMOLS) and dynamic ordinary least squares (DOLS) methods are used to find out the long-run dynamic relation between the variables, and the results show that financial globalization and trade openness have a positive and significant influence on economic growth. Our empirical findings suggest that South Asian countries should ensure that necessary policies require to be implemented if they need to partake in the gains from trade openness and capital flows, which would lead to stimulate the economic performance of the country. Also, governments should focus more on the enhancement of domestic financial system. In addition, an open economy requires global coordination to build a strong international financial system to prevent and manage financial crises or potential shock.
Hamisu Sadi Ali, Malayaranjan Sahoo, Md. Mahmudul Alam, Idris Isma’il Tijjani, Abul Quasem Al-Amin, and Adeel Ahmed
Springer Science and Business Media LLC
Mohini Gupta, Seema Saini, and Malayaranjan Sahoo
Elsevier BV
Sanjay Kumar Rout, Mohini Gupta, and Malayaranjan Sahoo
Springer Science and Business Media LLC
Malayaranjan Sahoo and Narayan Sethi
Springer Science and Business Media LLC
Narayan Sethi, Aurolipsa Das, Malayaranjan Sahoo, Saileja Mohanty, and Padmaja Bhujabal
Emerald
PurposeThis paper empirically examines the relationship between foreign direct investment, financial development and other macroeconomic variables like trade openness, domestic investment and labour force and that of GDP per capita in select South Asian countries, i.e. India, Sri Lanka and Pakistan for the period 1990–2018.Design/methodology/approachThe study uses various econometrics tools such as Pedroni, Kao and Johansen–Fisher panel cointegration test, Panel FMOLS and DOLS and Granger causality in order to analyse the long-run and short-run dynamics among the variables under consideration.FindingsThe results of the panel data estimation techniques employed imply that there is a short-run causality running from GDP per capita to FDI and financial development, and results from FMOLS and DOLS indicate that FDI and financial development have positive impacts on GDP per capita in the countries under consideration.Originality/valueIn this paper, we use a dynamic macroeconomic modelling framework to examine the effect of FDI and financial development on per capita income in three major south Asian economies, which are categorized as three Non-Least Developed Contracting States under the South Asian Free Trade Area (SAFTA), 2006, established with an aim to facilitate free trade among them. Considering the diversity of the level of growth experienced by these economies, the study uses appropriate panel regression techniques. Therefore, in addition to proper formulation of policies directed towards scaling up of export and import levels, the respective authorities should also take care that the political stability and institutional quality are maintained.
Malayaranjan Sahoo and Narayan Sethi
Emerald
PurposeThe purpose of this paper is to examine whether remittance inflow stimulate electricity consumption in India with other macroeconomic variables such as FDI, trade openness and urbanization in energy demand function from 1975–2017.Design/methodology/approachWe have applied structural break and co-integration tests for stationarity and long-run relationship between the variables. The Toda–Yamamatoo causality is employed for investigation of causal relationship between the variables, and robustness of causality linkages is also tested by applying innovative accounting approach (IAA).FindingsOur empirical analysis shows there is presence of long-run relationship among the variables. We find that remittance inflows stimulate electricity consumption in India. Industrialization is positively linked with electricity demand. However, trade openness declines the electricity consumption, but urbanization increases it. Furthermore, remittances inflows cause electricity consumption.Originality/valueOn the basis of findings, we conclude that due to positive impacts of remittances inflows, trade openness and urbanization, policymakers in the Indian economy need to be careful while designing sustainable environment policy. Otherwise, any sustainable environment policy in the name of protecting green environment will hamper the growth of remittance inflows, urbanization and FDI. If this exists, it may be argued that sustainable growth in India will not be possible in the face of sustainable environment policy.
Malayaranjan Sahoo and Jayantee Sahoo
Wiley
In this paper, we examined the relationship between renewable and non‐renewable energy consumption on CO2 emissions in India by taking disaggregated data from 1965 to 2018. In order to determine the effect of long‐run elasticity of independent variables on dependent variables, we have used ARDL bound testing approach. The directions of causality of the variables are investigated by Toda–Yamamoto Granger causality test. The long‐run results reveal that hydro energy consumption has a positive impact on CO2 emissions but not significant. However, nuclear energy consumption indicates that there is a negative effect on CO2 emissions. It reveals that all non‐renewable energy consumption sources have positive and significant effect on CO2 emissions.
Malayaranjan Sahoo
Wiley
This study focuses on Food and nutrition security in Odisha and specifically survey the contribution of PDS and ICDS on food and nutrition security in the NAGADA village of Jajpur district of Odisha. The whole study is based upon descriptive and qualitative in nature. This analysis is based on the source of both primary and secondary data. The main tool for data collections are the interview schedule from the Nagada village (Odisha, India). The interview schedules contained mostly close ended questions, though some open ended and structure questions also administered. It is found that most of the people in that village depend on PDS. ICDS scheme is not functioning in the study village. For impact of socio‐economic parameter on health status, we got education of the households, female education, MPCE and casual labors show significant relation, whereas household size display negative and case and land own do not show any relation with health status.
Muhammed Ashiq Villanthenkodath, Mohini Gupta, Seema Saini, and Malayaranjan Sahoo
Springer Science and Business Media LLC
AbstractThis study aims to evaluate the impact of economic structure on the Environmental Kuznets Curve (EKC) in India. The present study deviates from the bulk of study in the literature with the incorporation of both aggregated and disaggregated measures of economic development on the environmental degradation function. For the empirical analysis, the study employed the Auto-Regressive Distributed Lag (ARDL) bounds testing approach of cointegration to analyse the long-run and short-run relationship during 1971–2014. Further, the direction of the causality is investigated through the Wald test approach. The results revealed that the conventional EKC hypothesis does not hold in India in both aggregated and disaggregated models since economic growth and its component have a U-shaped impact on the environmental quality in India. However, the effect of population on environmental quality is positive but not significant in the aggregated model. Whereas, in the disaggregated model, it is significantly affecting environmental quality. Hence, it is possible to infer that the population of the country increases, the demand for energy consumption increase tremendously, particularly consumption of fossil fuel like coal, oil, and natural gas, and is also evident from the energy structure coefficient from both models. This increase is due to the scarcity of renewable energy for meeting the needs of people. On the contrary, urbanization reduces environmental degradation, which may be due to improved living conditions in terms of efficient infrastructure and energy efficiency in the urban area leading to a negative relation between urbanization and environmental degradation.
Malayaranjan Sahoo and Narayan Sethi
Springer Science and Business Media LLC
Malayaranjan Sahoo, Seema Saini, and Muhammed Ashiq Villanthenkodath
Springer Science and Business Media LLC
Malayaranjan Sahoo, Mohini Gupta, and Purwa Srivastava
Elsevier BV
MALAYARANJAN SAHOO and NARAYAN SETHI
World Scientific Pub Co Pte Ltd
This paper examines the relationship between human development, remittances and other macroeconomic variables like life expectancy, human capital, FDI, inflation, economic growth and financial development by considering 31 Sub-Saharan African (SSA) countries during the period of 1990–2018. Kao and Fisher residual cointegration tests are applied to check the cointegration among the variables in the long-run. We apply fully modified OLS (FMOLS) and DOLS to show the long-run elasticity of explanatory variables on dependent variable. The result indicates that remittances have a positive and statistically significant effects on human development in SSA region. Similarly, government expenditure, human capital, inflation and economic growth have positive effects on human development in the region. Dumitrescu–Hurlin panel granger causality tests were observed such that there is a unidirectional causality between remittance and human development in SSA countries. However, human development and inflation rate show bi-directional relationship with each other. This paper suggests that public policies can be conceived to promote health, education and income, thereby encouraging and enhancing human development. Policymakers should also rely on other macroeconomic factors, such as government spending and financial development, to stimulate human development in SSA region.
Malayaranjan Sahoo, Sanhita Sucharita, and Narayan Sethi
Wiley
AbstractThis article investigate the relationship between human development, remittance inflows, and other macroeconomic variables like life expectancy, human capital, FDI, CPI, economic growth, and financial development in South Asia during 1990–2018. The Fisher residual co‐integration test confirms that there is a co‐integration among the variables. The VECM approach also indicates that there is a long run relationship among the variables. We apply FMOLS and DOLS to show the long run elasticity of explanatory variables in this article. Remittance indicates positive and significant effect on human development. We find that there is a positive effect between government expenditure and human development. Similarly, life expectancy rate and human capital has a positive effect on human development. There is a unidirectional causality between remittance and human development in South Asian region. We can suggest that public policies can be conceived to promote health, education, and income, thereby encouraging and enhancing human development.
Malayaranjan Sahoo and Narayan Sethi
Wiley
AbstractThis article examines the relationship between energy consumption, industrialization, urbanization, economic growth, and financial development in India from 1980 to 2017. The ARDL bound testing; Johansen & Juselius cointegration approach and Gregory & Hansen structural break cointegration technique confirm the long‐run relationship exists among variables. The result of long‐run analysis indicates that the industrialization, urbanization and economic growth play a vital role in increasing energy consumption in India. However, financial development indicates negative relation to energy consumption. The coefficient of error correction term is negative and statistically significant at 1% confidence level, it means last‐period's deviation from a long‐run equilibrium. It is clear from the results of Toda‐Yamamoto Causality, there is a unidirectional causality running from industrialization to energy consumption. However, there is bidirectional causality showing between energy consumption and urbanization, economic growth and energy consumption, and urbanization and Economic growth. Urbanization facilitates fuel switching, as decentralized rural energy sources like traditional wood‐burning are replaced by centralized energy sources. From the above findings, we argue that proper awareness should be made at the urban center regarding use of energy saving equipments and public infrastructure should be improved to harness the effect of urban agglomeration. As rapid development of energy intensive‐industries and economic activity in Indian economy, there is need of energy efficient technology in industry in order to reduce energy consumption.
N. Sethi, Padmaja Bhujabal, Malayaranjan Sahoo and Sanhita Sucharita
Penerbit Universiti Kebangsaan Malaysia (UKM Press)
Foreign aid is considered as an important instrument of the foreign policy of states. It acts as a major source of foreign exchange earnings for developing countries. Therefore, it is regarded as a basic pillar of developmental process. We examine the trends and composition of foreign aid inflows in India and Sri Lanka. This study also empirically examines the relationship between foreign aid or Overseas Development Assistance (ODA) and economic growth for India and Sri Lanka using the annual data 1960-1961 to 2014-2015. Further, this study aims to test the causal relationship among foreign aid with other macroeconomic variables such as domestic investment, financial sector development and trade, and inflation rate of these countries. We have employed Johansen and Juselius (JJ) (Johansen and Juselius, 1990) procedure of testing for the presence of multiple cointegrating vectors. We have also used Vector Error Correction (VECM)-Granger Causality test to find out the short run dynamic equilibrium relationship among the variables. The empirical results show that there are both short and long run equilibrium relationships existing between foreign aid and economic growth with other macroeconomic variables in both the countries. However, the direction of inter-linkage between foreign aid and economic growth contradicts to each other in case of India and Sri Lanka, both in short run and long run. We have found that the error correction term is positive and significant in selected macroeconomic variables indicating a long-run causality in India and Sri Lanka.