Do Trade Openness, Structure of the Economy and FDI Affect Energy Intensity in India? A Case for Including Energy Intensity as a Policy Parameter

2017 ◽  
Vol 65 (1-4) ◽  
pp. 172-192
Author(s):  
Rajneesh
Keyword(s):  
Gross Domestic Product ◽  
Energy Intensity ◽  
Trade Openness ◽  
Fdi Inflows ◽  
Test Methodology ◽  
Long Run ◽  
Auto Regressive ◽  
Domestic Investments ◽  
Bounds Test ◽  
Fdi Policies

This article examines the existence of a long-run relationship between energy intensity, trade openness, structure of the economy and FDI inflows in India from 1973 to 2013 using auto regressive distributive lag (ARDL) bounds test methodology. The results indicate that (a) there is a long-run cointegration among the analysed variables and (b) an increase in trade openness, share of services in gross domestic product (GDP) and share of FDI in domestic investments results in lowering energy intensity. The study also finds that the magnitude of impact of the share of industry in increasing energy intensity in India outweighs the combined energy intensity lowering impact of trade openness, share of services and share of FDI. The study validates tenets of the theory of heterogeneity of firms in international trade and pitches for including ‘energy intensity’ as a policy parameter in promoting ‘energy-frugal’ technologies via Make-in-India initiative, trade and FDI policies.

scholarly journals Does Trade Liberalization Affect Energy Saving in Nigeria?

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Aliyu Alhaji Jibrilla
Keyword(s):  
Energy Use ◽  
Energy Intensity ◽  
Trade Openness ◽  
Value Added ◽  
Annual Data ◽  
Distributed Lag ◽  
Long Run ◽  
Dynamic Ols ◽  
Short Run ◽  
Auto Regressive

The study empirically examines the role of trade openness and other determinants in explaining the intensity of energy use in Nigeria using annual data from 1981 to 2015. The paper uses an auto-regressive distributed lag (ARDL) model in interpreting both long-run energy intensity as a co integrating relation, and its short-run dynamics. The robustness of ARDL results is verified using Dynamic OLS (DOLS) estimation technique. The results provide evidence of a Cointegration relation between energy intensity and its determinants. The results provide evidence that trade only significantly reduces energy intensity in the short run. Meanwhile, the results also show that income growth and industry value added have significant reducing effects on energy intensity. The results also raise some important policy issues, particularly on the inflows of foreign aid.

scholarly journals Causal Links between Trade Openness and Foreign Direct Investment in Romania

2021 ◽  
Vol 14 (3) ◽  
pp. 90
Author(s):  
Malsha Mayoshi Rathnayaka Mudiyanselage ◽  
Gheorghe Epuran ◽  
Bianca Tescașiu
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Trade Openness ◽  
Test Procedure ◽  
Real Effective Exchange Rate ◽  
Foreign Direct Investments ◽  
Causality Test ◽  
Fdi Inflows ◽  
Distributed Lag ◽  
Long Run

In this increasingly globalized era, foreign direct investments are considered to be one of the most important sources of external financing for all countries. This paper investigates the causal relationship between trade openness and foreign direct investment (FDI) inflows in Romania during the period 1997–2019. Throughout this study, Trade Openness is the main independent variable, and Gross Domestic Product (GDP), Real Effective Exchange Rate (EXR), Inflation (INF), and Education (EDU) act as control variables for investigating the relationships between trade openness (TOP) and FDI inflow in Romania. The Auto Regressive Distributed Lag (ARDL) Bounds test procedure was adopted to achieve the above-mentioned objective. Trade openness has negative and statistically significant long-run and short-run relationships with FDI inflows in Romania throughout the period. Trade openness negatively affects the FDI inflow, which suggest that the higher the level of openness is, the less likely it is that FDI will be attracted in the long run. The result of the Granger causality test indicated that Romania has a unidirectional relationship between trade openness and FDI. It also showed that the direction of causality ran from FDI to trade openness.

scholarly journals Role of Information and Communication Technology, Foreign Direct Investment and Trade Openness in Environmental Sustainability

2021 ◽  
Vol 7 (2) ◽  
pp. 263-272
Author(s):  
Sulaman Hafeez Siddiqui ◽  
Sohail Saeed ◽  
Areeba Khan ◽  
Hina Bhatti
Keyword(s):  
Co2 Emissions ◽  
Information And Communication Technologies ◽  
Environmental Sustainability ◽  
Trade Openness ◽  
Communication Technologies ◽  
Fdi Inflows ◽  
Long Run ◽  
Short Run ◽  
Information And Communication ◽  
The Government

Purpose: The benefits of Information and Communication Technologies (ICTs) in environmental resource management has been a topic of hot discussion for the policymakers across the world.  For the purpose, the government of Pakistan took initiative in 2018 to use technology for the country’s social welfare, financial benefits and to enhance environmental sustainability and named it as “Digital Pakistan Initiative”.Design/Methodology/Approach: For analysis, this study took CO2 emissions as the dependent variable and ICT, FDI inflows, and Trade Openness as independent variables. Data were collected on bimonthly basis from 2004 through 2019, and analyzed employing ARDL approach. Main purpose of the study was to examine the short-run and long-run relationship among carbon emissions and ICT, FDI Inflows and Trade Openness.Findings: The findings show that there exists a short-run relationship among all the variables; however, FDI inflows and trade openness have a significant relationship with CO2 emissions. The results also exhibit that there is no long-run relationship between CO2 emissions, FDI inflows, and Trade openness while ICT has an insignificant long-run relationship with CO2 emissions. With the increase of information and communication, the country’s environmental sustainability is also increased. Implications/Originality/Value: The current study was based on least considered variables and the pioneer in testing the complex relationship through VAR estimation.

scholarly journals Consequences of Capital formation, Trade Liberalization on the Economic Growth: Pakistan’s Experience

2015 ◽  
Vol 2 (1) ◽  
pp. 1-4
Author(s):  
Nadia Bukhari ◽  
Anjum Iqbal
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Trade Openness ◽  
Capital Formation ◽  
Vital Role ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
Adf Test

This study considers the long run relationship between the liberalization of trade, capital formation and the economic growth of Pakistan by using the time series data from 1975-2013. The main aim of this study is to examine that how much liberalization of trade and capital formation affects the economic growth of Pakistan in long run. The approach that has been used for empirical analysis is Auto Regressive Distributed Lag (ARDL) model. Under the ADF test capital formation (CF) is stationary at its first level but the trade openness (TO) and GDP is stationary at its first difference. Moreover, the granger casualty test is evident that there become a casual relationship between the trade openness and GDP. The result of this study shows that both the trade openness and the capital formation determined the economic growth in long run and they both have statistically significant effect on the GDP. Furthermore it has has been depicted from the study that the trade has a vital role to influence the economic growth.

scholarly journals Financial Development, Institutional Quality, and Environmental Degradation Nexus: New Evidence from Asymmetric ARDL Co-Integration Approach

2020 ◽  
Vol 12 (18) ◽  
pp. 7812 ◽  
Author(s):  
Farhan Ahmed ◽  
Shazia Kousar ◽  
Amber Pervaiz ◽  
José Pedro Ramos-Requena
Keyword(s):  
Financial Development ◽  
Environmental Degradation ◽  
Environmental Sustainability ◽  
Trade Openness ◽  
Institutional Quality ◽  
Bounds Testing ◽  
Long Run ◽  
Auto Regressive ◽  
Negative Shock

The aim of this study is threefold; first, the study investigates the symmetric impact of trade openness, financial development, and institutional quality on environmental degradation and environmental sustainability. Second, the study examines the asymmetric relationship between financial development, institutional quality, and environmental degradation. Third, the study examines the asymmetric relationship between financial development, institutional quality, and environmental sustainability. For this purpose, the study utilized the data of Pakistan from 1996 to 2018. The study applied Augmented Dickey–Fuller (ADF), Phillips Parron (PP) and Zivote, and Andrews unit root test to check the properties of stationarity of the data. This study applied the Auto Regressive Distributive Lags (ARDL) model to investigate symmetric relationships while the Non-Linear Auto Regressive Distributive Lag Model (NARDL) approach is utilized to investigate the asymmetric relationship among variables. ARDL bounds testing approach utilized to investigate long-run co-integration while short-run dynamics have been investigated by applying the error correction method (ECM). This study found the significant long-run symmetric and asymmetric association of institutional quality (IQ) and financial development (FD) with environmental degradation (ED) and environmental sustainability. However, IQ- has an insignificant association with environmental sustainability. Moreover, dynamic multiplier analysis indicates that positive shock to FD and IQ has a stronger impact on environmental degradation while a positive or negative shock to FD; both have a stronger impact on environmental sustainability. However, a positive or negative shock to IQ has a smaller impact on environmental sustainability. Moreover, the study also found a significant long-run symmetric association of trade openness with environmental degradation and environmental sustainability. This study suggests that the quality of institutions, financial development, and trade openness is necessary to enhance the quality of the environment.

The short-run and long-run dynamics among FDI, trade openness and economic growth: using a bootstrap ARDL test for co-integration in selected South Asian countries

2020 ◽  
Vol 9 (2) ◽  
pp. 279-295 ◽  
Author(s):  
Hummera Saleem ◽  
Malik Shahzad Shabbir ◽  
Muhammad Bilal khan
Keyword(s):  
Economic Growth ◽  
Sri Lanka ◽  
Causal Relationship ◽  
South Asian ◽  
Trade Openness ◽  
Asian Countries ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive

PurposeThe purpose of this study is to analyze the dynamic causal relationship between foreign direct investment (FDI), gross domestic product (GDP) and trade openness (TO) on a set of five selected South Asian countries.Design/methodology/approachThis study used newly developed bootstrap auto regressive distributed lags (ARDL) cointegration test to examine the long-run relationship among FDI, GDP and TO for selected South Asian countries for 1975–2016.FindingsThe economic growth (EG) is significantly related to TO for Bangladesh, India and Sri Lanka and the expansion of TO is crucial for growth in these countries. The results show that all countries (except Bangladesh) found the existence of long-run cointegration between FDI, GDP and TO, whereas FDI is a dependent variable. These results concluded that FDI and TO are contributing to EG in these selected countries.Originality/valueThis study is one of the first attempts to investigate the causal relationship and address the short and long dynamic among FDI, GDP and TO regarding five south Asian countries such as Bangladesh, India, Nepal, Pakistan and Sri Lanka.

scholarly journals Impact of Trade Openness on Industrialization in Nigeria

2020 ◽  
Vol 8 (1) ◽  
pp. 15-22
Author(s):  
Adebayo Mohammed Ojuolape ◽  
Deborah Boluwatife Adeniyi
Keyword(s):  
Exchange Rate ◽  
Trade Openness ◽  
The State ◽  
Cointegration Test ◽  
Industrial Competitiveness ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
Analytical Result

The state of Nigeria as regards the effect of trade openness on industrialization is a major concern. This research helps to evaluate this effect. The variables show a long-run relationship, using Bound Cointegration test. The final analytical result was gotten using ARDL (Auto-Regressive Distributed Lag) Co-integration and Long-run form. The results show that trade openness is not significant, and it is negatively related to industrialization. The implication of this is that it hinders industrialization in Nigeria. This is due to excess importation and infrastructure deficit, alongside other factors. The study recommended that existing policies should not be waved aside; there should be engagement in international industrial competitiveness, and stabilization of exchange rate.

scholarly journals Energy Intensity Determinants Based on Structure-oriented Cointegration by Embedding a Knowledge Box in a Time Series Model: Evidence From Iran

2021 ◽  
Author(s):  
Parisa Esmaeili ◽  
Meysam Rafei
Keyword(s):  
Financial Development ◽  
Energy Intensity ◽  
Trade Openness ◽  
Decomposition Analysis ◽  
Directed Acyclic Graphs ◽  
Impulse Response Functions ◽  
Government Investment ◽  
Long Run ◽  
Oil Revenues ◽  
The Impact

Abstract Energy intensity reduction is an exigent issue for Iran, where energy consumption is so high. Therefore, finding effective policies to reduce energy intensity is important. With this in mind, the impact of financial development, government investment, oil revenues, and trade openness on energy intensity is assessed in this study. We combined Structural Vector Error Correction Model (SVECM) and Directed Acyclic Graphs (DAG) technique to examine the relationships between study variables. The results of DAG prove that financial development, government investment, oil revenues, and trade openness influence the intensity of energy. Besides, the significant and long-run relationships among variables allowed us to apply SVECM. Impulse response functions and variance decomposition analysis indicate that government investment, oil revenues, and trade openness are negatively associated with the intensity of energy. Also, financial development positively influences energy intensity. Meanwhile, the impact of government investment is greater than oil revenues, trade openness, and financial development impacts. So, Government investment is the most effective policy regarding optimizing the consumption of energy and reducing energy intensity. We also advise policymakers to use oil revenues to increase government investment, enhancing the level of trade openness, and tax to the private sector to improve the level of energy intensity.

scholarly journals Effect of Globalization on Income Inequality in Ghana

2021 ◽  
Vol 13 (2) ◽  
pp. 15
Author(s):  
Christiana Manu
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Positive Impact ◽  
Trade Openness ◽  
Negative Relationship ◽  
Fdi Inflows ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Significant Negative Relationship

Available empirical evidence suggests that globalisation in recent years have had a significant positive impact on various sectors of most economies; however, significant evidence also exists suggesting that this economic process has also accentuated poverty and worsened income distribution in parts of some economies. This study examines the effects of foreign direct investment, trade openness and foreign remittance on income inequality in Ghana. The paper applied the vector error correction model in examining the effect of FDI inflow, foreign remittance and trade openness and income inequality in Ghana. The result indicates Foreign Remittance, FDI, Trade Openness and Gini index, are integrated of order one. Additionally, Johansen’s test for cointegration suggest a long-run relationship between the Gini coefficient (income distribution) and examined independent variables. The study also found out that foreign remittance has a significant negative relationship with Ghana’s income inequality and FDI inflows have no significant impact on Ghana’s income inequality.

scholarly journals The Use of Auto-Regressive Distributed Lag Method in Investigating The Impact of Interest Rate on Foreign Direct Investment in Yemen for the Period 1990-2018

2020 ◽  
Vol 26 (123) ◽  
pp. 145-157
Author(s):  
Saif Sallam Alhakimi
Keyword(s):  
Foreign Direct Investment ◽  
Interest Rate ◽  
Interest Rates ◽  
Direct Investment ◽  
Inflation Rate ◽  
Trade Openness ◽  
Fdi Inflows ◽  
Distributed Lag ◽  
Auto Regressive ◽  
The Impact

 Foreign direct investment has seen increasing interest worldwide, especially in developing economies. However, statistics have shown that Yemen received fluctuating FDI inflows during the period under study. Against this background, this research seeks to determine the relationship and impact of interest rates on FDI flows. The study also found other determinants that greatly affected FDI inflows in Yemen for the period 1990-2018. Study data collected from the World Bank and International Monetary Fund databases. It also ensured that the time series were made balanced and interconnected, and then the Auto Regressive Distributed Lag method used in the analysis. The results showed that the interest rates and inflation rate harmed FDI flows and, therefore, could not be used for policymaking purposes. The research also discovered that GDP growth and trade openness are the main determinants of foreign direct investment in Yemen. Trade openness policies should be encouraged, and GDP growth facilitated if the economy is to achieve long-term FDI flows. Purpose –The purpose of the paper is to discover the impact of interest rate on foreign direct investment with a combination of the exchange rate, inflation, gross domestic product, and trade openness. Design/methodology/approach – The paper implements the Auto Regressive Distributed Lag (ARDL)-Bounds testing approach to analyze maintaining the time series properties in terms of stationarity. Findings – The results indicate that there is a long-run equilibrium between the Foreign Direct Investment and the explanatory variables. Furthermore, the significant factors influencing, positively, FDI in Yemen are Growth domestic product, Exchange rate, and Trade openness. In contrast, both the Interest rate and Inflation rate have a substantial negative impact on Foreign Direct Investment. Practical implications – Policymakers in Yemen advised reconsidering many of the general state policies, including investment policies, financial and administrative governance, and monetary policy that focuses on maintaining an adequate interest rate and reduce the rate of inflation. Originality/value – As for the case of Yemen, this the first study empirically explores the impact of interest rate and the foreign direct investment using the Auto Regressive Distributed Lag method aiming for more reliable results.

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