scholarly journals The role of remittances inflow, renewable and non-renewable energy consumption in the environment: accounting ecological footprint indicators for top remittance-receiving countries

2021 ◽  
Author(s):  
Liping Zhang ◽  
Bo Yang ◽  
Atif Jahanger
Keyword(s):  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Direct Investment ◽  
Ecological Footprint ◽  
Least Square ◽  
Policy Implications ◽  
Energy Utilization ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Renewable Energy Consumption

Abstract This study determines the dynamic linkages between remittances inflow, foreign direct investment, and ecological footprint in top ten remittance-receiving counties in the presence of economic growth and renewable and non-renewable energy under the framework of Environmental Kuznets Curve (EKC) hypothesis over the period of 1990–2018 by employing the continuously updated fully modified (CUP-FM) and the continuously updated bias-corrected (CUP-BC) estimators. The results show that remittances inflow, foreign direct investment, and non-renewable energy utilization affect the ecological footprint positively while renewable energy utilization negatively impacts on ecological footprint. This study also supports the pollution haven hypothesis and inverted U-shaped EKC hypothesis. Furthermore, in order to account for the national heterogeneity, we have executed a country-wise EKC hypothesis, the results of the full modified ordinary least square (FMOLS) support the inverted U-shaped EKC hypothesis in the case of Bangladesh, China, France, India, Pakistan, and Vietnam while displaying a U-shaped curve in Germany, Mexico, and Nigeria. Besides, the results are robust to various robustness analyses that we have executed for inspection of the reliability of our main findings. Finally, this study presents important policy implications with respect to top remittance-receiving countries.

scholarly journals Impact of Economic Growth and Energy Consumption on Greenhouse Gas Emissions: Testing Environmental Curves Hypotheses on EU Countries

2018 ◽  
Vol 10 (9) ◽  
pp. 3327 ◽  
Author(s):  
Mihaela Sterpu ◽  
Georgeta Soava ◽  
Anca Mehedintu
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Least Square ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Renewable Energy Consumption ◽  
Eu Countries ◽  
Per Capita

This study analyses the relationship between per capita greenhouse gas (GHG) emissions, gross domestic product, gross inland energy consumption, and renewable energy consumption for a panel of 28 countries of European Union in the period 1990–2016. Two theoretical models, a quadratic and a cubic one, are used to estimate the shape of the environmental curve and to test the Kuznets hypothesis. The panel cointegration approach proved the existence of long-run equilibrium relations among the four macroeconomic indicators. Empirical estimations, using panel data techniques, as well as heterogeneous regression for each individual country in the panel, show non-conclusive evidence for the environmental Kuznets curve (EKC) hypothesis. The least square estimates, with the variables in log per capita form, reveal that the inverted U-shaped EKC hypothesis is verified for the panel and for 17 of the 28 EU countries. Estimates of the cubic model show that the environmental curve has an inverted N-shaped form. These results do not hold when the values are in non-logarithmic form. In addition, the estimations for all models show that an increase of gross energy consumption leads to an increase of GHGs, while an increase of renewable energy consumption leads to a reduction in GHG emissions.

scholarly journals The Impact of Quality of Governance, Renewable Energy and Foreign Direct Investment on Sustainable Development in Cee Countries

2021 ◽  
Vol 9 ◽  
Author(s):  
Mihaela Simionescu ◽  
Monica Răileanu Szeles ◽  
Beata Gavurova ◽  
Urszula Mentel
Keyword(s):  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Direct Investment ◽  
Labour Productivity ◽  
Kuznets Curve ◽  
Renewable Energy Consumption ◽  
Long Run ◽  
Quality Of Governance ◽  
The Impact

Recent debates on the Environmental Kuznets Curve (EKC) in the context of the European Green Deal highlights that pollution could be controlled using channels other than economic development. The role of renewable energy consumption in reducing pollution should be correlated with quality of governance, which could support initiatives for a cleaner environment. This study considers the renewable Kuznets curve for 10 Central and Eastern European countries in the period 2006–2019, using economic indicators (index of economic freedom, foreign direct investment, domestic credit to private sector and labour productivity) as control variables and indicators reflecting the quality of governance (Worldwide Governance Indicators and Google Trend indexes associated to key-word corruption in each language). The research is based on two types of panel data models: panel dynamic OLS model (PDOLS) and panel autoregressive distributed lag models based on pooled mean group (PMG) estimator. The results indicate that government effectiveness reduces pollution in both the short-run and long-run, while control of corruption and rule of law supports environmental protection in the long-run. Google searches for corruption as a proxy for quality of governance indicate that tGHG emissions have immediate and practical implications in nowcasting pollution.

scholarly journals Empirical Research on the Relationship amongst Renewable Energy Consumption, Economic Growth and Foreign Direct Investment in Kazakhstan and Uzbekistan

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 332
Author(s):  
Janusz Grabara ◽  
Arsen Tleppayev ◽  
Malika Dabylova ◽  
Leonardus W. W. Mihardjo ◽  
Zdzisława Dacko-Pikiewicz
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Direct Investment ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Renewable Energy Consumption ◽  
Integration Test ◽  
The Relationship

In this contemporary era, environmental problems spread at different levels in all countries of the world. Economic growth does not just depend on prioritizing the environment or improving the environmental situation. If the foreign direct investment is directed to the polluting industries, they will increase pollution and damage the environment. The purpose of the study is to consider the relationship between foreign direct investment in Kazakhstan and Uzbekistan and economic growth and renewable energy consumption. The study is based on data obtained from 1992 to 2018. The results show that there is a two-way link between foreign direct investment and renewable energy consumption in the considered two countries. The Granger causality test approach is applied to explore the causal relationship between the variables. The Johansen co-integration test approach is also employed to test for a relationship. The empirical results verify the existence of co-integration between the series. The main factors influencing renewable energy are economic growth and electricity consumption. To reduce dependence on fuel-based energy sources, Kazakhstan and Uzbekistan need to attract energy to renewable energy sources and implement energy efficiency based on rapid progress. This is because renewable energy sources play the role of an engine that stimulates the production process in the economy for all countries.

scholarly journals Does Foreign Direct Investment Influence Renewable Energy Consumption? Empirical Evidence from South Asian Countries

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3470
Author(s):  
Xueqing Kang ◽  
Farman Ullah Khan ◽  
Raza Ullah ◽  
Muhammad Arif ◽  
Shams Ur Rehman ◽  
...  
Keyword(s):  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Sri Lanka ◽  
South Asian ◽  
Environmental Sustainability ◽  
Direct Investment ◽  
Least Square ◽  
Asian Countries ◽  
Ordinary Least Square ◽  
The Relationship

In selected South Asian countries, the study intends to investigate the relationship between urban population (UP), carbon dioxide (CO2), trade openness (TO), gross domestic product (GDP), foreign direct investment (FDI), and renewable energy (RE). Fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models for estimation were used in the study, which covered yearly data from 1990 to 2019. We used Levin–Lin–Chu, Im–Pesaran–Shin, and Fisher PP tests for the stationarity of the variables. The outcomes of the panel cointegration approach looked at whether there was a long-run equilibrium nexus between selected variables in Pakistan, Bangladesh, India, and Sri Lanka. The FMOLS approach was also used to assess the relationship, and the results suggest that there is a significant and negative nexus between FDI and renewable energy in south Asian nations. The study’s findings reveal a strong and favorable relationship between GDP and renewable energy use. In South Asian nations (Sri Lanka, Pakistan, India, and Bangladesh), the FMOLS and DOLS findings are nearly identical, but the authors used the DOLS model for robustification. According to the findings, policymakers in South Asian economies (Sri Lanka, Pakistan, India, and Bangladesh) should view GDP and FDI as fundamental policy instruments for environmental sustainability. To reduce reliance on hazardous energy sources, the government should also reassure financial sectors to participate in renewable energy.

scholarly journals Does Green Energy Complement Economic Growth for Achieving Environmental Sustainability? Evidence from Saudi Arabia

2020 ◽  
Vol 13 (1) ◽  
pp. 180
Author(s):  
Montassar Kahia ◽  
Anis Omri ◽  
Bilel Jarraya
Keyword(s):  
Economic Growth ◽  
Saudi Arabia ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Sustainability ◽  
Least Square ◽  
Ekc Hypothesis ◽  
Renewable Energy Consumption ◽  
Ordinary Least Square

This study extends previous environmental sustainability literature by investigating the joint impact of economic growth and renewable energy on reducing CO2 emissions in Saudi Arabia over the period 1990–2016. Using the fully modified ordinary least-square (FMOLS) and dynamic ordinary least-square DOLS estimators, we find that economic growth increases CO2 emissions in all estimated models. Moreover, the validity of the environmental Kuznets curve (EKC) hypothesis is only supported for CO2 emissions from liquid fuel consumption. The invalidity of the EKC hypothesis in the most commonly used models implies that economic growth alone is not sufficient to enhance environmental quality. Renewable energy is found to have a weak influence on reducing the indicators of environmental degradation. We also find that the joint impact of renewable energy consumption and economic growth on the indicators of CO2 emissions is negative and insignificant for all the estimated models, meaning that the level of renewable energy consumption in Saudi Arabia is not sufficient to moderate the negative effect of economic growth on environmental quality. Implications for policy are also discussed.

scholarly journals Ecological Footprint, Foreign Direct Investment, and Gross Domestic Production: Evidence of Belt & Road Initiative Countries

2018 ◽  
Vol 10 (10) ◽  
pp. 3527 ◽  
Author(s):  
Hongbo Liu ◽  
Hanho Kim
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Ecological Footprint ◽  
Kuznets Curve ◽  
Impulse Response Functions ◽  
Domestic Production ◽  
Bidirectional Relationship ◽  
Gross Domestic Production ◽  
Panel Vector Autoregression ◽  
Pollution Havens

This research is employed to examine the environmental issues embedded in Belt & Road Initiative (BRI), to be more specific: testify which of these hypotheses: Pollution Havens Hypothesis, Pollution Halo Hypothesis, Environmental Kuznets Curve is in accordance with the current development condition of BRI counties; whether there exists a bidirectional relationship among Ecological Footprint, Gross Domestic Production, Foreign Direct Investment (FDI) in Belt & Road Initiative countries. In this paper, Panel Vector Autoregression is utilized to analyze a dataset of 44-member countries in this initiative, ranges from 1990 to 2016, to empirically testify the environmental evaluation of this project. Results are analyzed on both long-run and short-run cases through Orthogonalized Impulse-Response Functions (IRF). This research displays a great heterogeneity among different target variables, FDI as a main variable of interest does not expose a bidirectional relationship with Ecological Footprint, only Ecological Footprint demonstrates robust influence on FDI. In addition, Pollution Havens Hypothesis is certified to be true for FDI and GDP among Belt & Road Initiative member countries.

scholarly journals The effectiveness of Vietnamese policies response to climate change through ARDL analysis

2021 ◽  
Vol 11 (2) ◽  
pp. 42-52
Author(s):  
Le Hoang Nghiem ◽  
Dang Bac Hai ◽  
Tran Thi Diem Nga ◽  
Su Thi Oanh Hoa
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Economic Factor ◽  
Renewable Energy Consumption ◽  
Long Run

Being a highly vulnerable country due to climate change, Vietnam has issued various climate policies while trying to keep the pace of economic growth. The study evaluates the effectiveness of these policies by examining the effect of economic and energy factors in the efforts of controlling CO2 emissions. Approach by Autoregressive Distributed Lag (ARDL) analysis, the model of a linear regression between CO2 emissions and Gross Domestic Product (GDP), Foreign Direct Investment (FDI) & sources of energy consumption has been developed from 1985 to 2018. The study indicates that the economic factor as Foreign Direct Investment (FDI) is a possible significant element to mitigate the emission. In addition, sources of energy consumption have the important role of controlling CO2 emissions. In the long run, the consumption of non - renewable energy is a positive and significant effect on CO2 emissions while renewable energy is vice versa. These outcomes show the Foreign Direct Investment (FDI) and renewable energy consumption factors lead to the decrease of CO2 emissions in the long run for Vietnam, which implies the co-exist of economic growth and decarbonization.

scholarly journals An Evaluation of the Tourism-Induced Environmental Kuznets Curve (T-EKC) Hypothesis: Evidence from G7 Countries

2020 ◽  
Vol 12 (21) ◽  
pp. 9150 ◽  
Author(s):  
Cem Ișik ◽  
Munir Ahmad ◽  
Uğur Korkut Pata ◽  
Serdar Ongan ◽  
Magdalena Radulescu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Renewable Energy Consumption ◽  
G7 Countries ◽  
Group Of Seven ◽  
The Uk

This paper analyzes the legitimacy of the Environmental Kuznets Curve (EKC) hypothesis for a group of seven (G7) countries over the period 1995–2015. In addition to testing the EKC speculation, the authors also would like to understand the ways in which increases in renewable energy consumption and the international tourism receipt affect the CO2 emissions in G7 countries, because the energy and tourism sectors may have considerable direct impacts on CO2 emissions. In this investigation, a panel bootstrap cointegration test and an augmented mean group (AMG) estimator were applied. The empirical findings indicate that the tourism-induced EKC hypothesis is valid only for France. Additionally, it was detected that a rise in renewable energy consumption has a negative (reduction) impact on CO2 emissions in France, Italy, the UK, and the US. However, an increase in the receipt of international touristm has a positive (additional) impact on Italy’s CO2 emissions. Hence, this country’s decision-makers should re-review their tourism policy to adopt a renewable-inclusive one for sustainable tourism and the environment.

Foreign Direct Investment and Industry Characteristics:Evidence from Chinese Industries

2003 ◽  
Vol 4 (1) ◽  
pp. 27-42
Author(s):  
Xiaohui Liu
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Least Square ◽  
Policy Implications ◽  
Market Size ◽  
Least Square Estimation ◽  
Cross Sectional ◽  
Chinese Industry ◽  
The Relationship ◽  
Chinese Industries

This paper examines empirically the determinants of foreign direct investment (FDI) in Chinese industry using cross-sectional data. The relationship between industry characteristics and the sectoral distribution of FDI is tested based on different sample groups. A test for endogeneity justifies the use of two-stage least square estimation in order to avoid inconsistent results. The evidence suggests that FDI in Chinese industries is significantly influenced by the market size, exports, firm size and the policy towards FDI. The findings from this study generate important policy implications regarding how governments can encourage FDI into technology-intensive industries.

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