Malayaranjan Sahoo and Narayan Sethi
The 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…
Abstract
Purpose
The 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/approach
We 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).
Findings
Our 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/value
On 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.
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Narayan Sethi, Aurolipsa Das, Malayaranjan Sahoo, Saileja Mohanty and Padmaja Bhujabal
This paper empirically examines the relationship between foreign direct investment, financial development and other macroeconomic variables like trade openness, domestic…
Abstract
Purpose
This 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/approach
The 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.
Findings
The 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/value
In 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.
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Priyanka Nayak and Pratap Kumar Jena
The purpose of this paper is to investigate how the rising domestic food price inflation in India is influenced by global macroeconomic factors like crude oil, exchange rate…
Abstract
Purpose
The purpose of this paper is to investigate how the rising domestic food price inflation in India is influenced by global macroeconomic factors like crude oil, exchange rate, foreign aid, global food prices and trade openness from January 1993 to December 2022.
Design/methodology/approach
The study has employed the structural break, autoregressive distributed lag cointegration tests to assess the stationarity and long-term relationship between the variables and the Toda–Yamamoto Granger causality test to demonstrate the causal relationship between the variables.
Findings
The study highlights the long-term relationships among variables, shedding light on the influence of global macroeconomic factors on domestic food price inflation in India. It reveals that food price inflation in India is positively influenced by crude oil prices and global food prices while being negatively affected by currency rates, foreign direct investment and trade openness.
Originality/value
Based on the findings, the study suggests that initiatives to reduce demand for crude oil and imported food products could help mitigate domestic food price inflation in India. Addressing the depreciation of the exchange rate is crucial to combat significant inflation in domestic food prices, calling for specific government interventions. Furthermore, promoting trade liberalization and foreign direct investment in the agricultural sector could help alleviate domestic food price inflation, emphasizing the importance of reducing customary trade barriers to encourage investment and trade openness.