scholarly journals Analysis of the New Kuznets Relationship: Considering Emissions of Carbon, Methanol, and Nitrous Oxide Greenhouse Gases—Evidence from EU Countries

2021 ◽  
Vol 18 (6) ◽  
pp. 2907
Author(s):  
Mara Madaleno ◽  
Victor Moutinho
Keyword(s):  
Nitrous Oxide ◽  
Least Squares ◽  
Fixed Effects ◽  
Ghg Emissions ◽  
Ordinary Least Squares ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Long Run ◽  
Short Run ◽  
The Eu

Decreased greenhouse gas emissions (GHG) are urgently needed in view of global health threat represented by climate change. The goal of this paper is to test the validity of the Environmental Kuznets Curve (EKC) hypothesis, considering less common measures of environmental burden. For that, four different estimations are done, one considering total GHG emissions, and three more taking into account, individually, the three main GHG gases—carbon dioxide (CO2), nitrous oxide (N2O), and methane gas (CH4)—considering the oldest and most recent economies adhering to the EU27 (the EU 15 (Old Europe) and the EU 12 (New Europe)) separately. Using panel dynamic fixed effects (DFE), dynamic ordinary least squares (DOLS), and fully modified ordinary least squares (FMOLS) techniques, we validate the existence of a U-shaped relationship for all emission proxies considered, and groups of countries in the short-run. Some evidence of this effect also exists in the long-run. However, we were only able to validate the EKC hypothesis for the short-run in EU 12 under DOLS and the short and long-run using FMOLS. Confirmed is the fact that results are sensitive to models and measures adopted. Externalization of problems globally takes a longer period for national policies to correct, turning global measures harder and local environmental proxies more suitable to deeply explore the EKC hypothesis.

scholarly journals Modelling the impact of oil price fluctuations on food price in high and low-income oil exporting countries

2020 ◽  
Vol 66 (No. 10) ◽  
pp. 458-468
Author(s):  
Chen Ding ◽  
Umar Muhammad Gummi ◽  
Shan-bing Lu ◽  
Asiya Muazu
Keyword(s):  
Least Squares ◽  
Low Income ◽  
Ordinary Least Squares ◽  
Food Prices ◽  
Oil Price ◽  
Low Income Countries ◽  
Long Run ◽  
Oil Markets ◽  
Short Run ◽  
The Impact

Oil exporting economies were the most hit by the recent oil price shock that spills on the food market in an increasingly volatile macroeconomic environment. This paper examines and compares sub-samples [before crisis <br />(2000 Q1–2013 Q1) and during crisis (2013 Q2–2019 Q4)] as to the impact of oil price on food prices in high- and low-income oil-exporting countries. We found an inverse relationship between oil and food prices in the long run based on full samples and sub-samples in high-income countries. The story is different during the crisis period: in low-income countries and all the countries combined, oil and food prices co-move in the long run as measured by the Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS). Our findings suggest that economic structure and uncertain events (crises) dictate the behaviour and relationship between food and oil markets. Food and oil prices may drift away in the short-run, but market forces turn them toward equilibrium in the long-run. Moreover, low-income countries are indifferent in both periods due to limited capacity to balance the increasing demand for and supply of food items.

scholarly journals Analyzing the Impact of Energy, Export Variety, and FDI on Environmental Degradation in the Context of Environmental Kuznets Curve Hypothesis: A Case Study of India

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1076 ◽  
Author(s):  
Tijjani Adamu ◽  
Ihtisham Haq ◽  
Muhammad Shafiq
Keyword(s):  
Energy Consumption ◽  
Environmental Degradation ◽  
Carbon Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Long Run ◽  
Export Variety ◽  
Short Run ◽  
The Impact

The economic size of the Indian economy and its status as one of the major global emitters of carbon emissions makes the country a good place to study the determinants of environmental degradation in India. The study aims at analyzing the impact of energy, export variety, and foreign direct investment (FDI) on environmental degradation in India in the context of environmental Kuznets curve (EKC) hypothesis. The long run relationship was found between variables of the study through a cointegration test, whereas long run estimates were obtained through cointegration and dynamic ordinary least squares (DOLS). Results of the study reveal that energy consumption, export variety, FDI, and income positively contributed to environmental degradation in India. Results also unveil that the EKC hypothesis does not exist in India. Causality analyses document unidirectional causality from income and FDI to environmental degradation, and bidirectional causality was witnessed between energy consumption and environmental degradation and between export variety and environmental degradation in the long run. The long run and the short run causality highlight that India has to forego the short run economic growth in order to improve its environmental quality and reduce global carbon emissions; however, it will not affect its long term economic development process.

scholarly journals Democracy and Growth Nexus in Indonesia

2020 ◽  
Vol 20 (2) ◽  
pp. 208-221
Author(s):  
Azwar Iskandar ◽  
Achmat Subekan
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Granger Causality ◽  
Control Variable ◽  
Political Stability ◽  
Ordinary Least Squares ◽  
Causality Test ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

The objective of this study is to analyze the causality between democracy and economic growth in Indonesia for the period of 1995 to 2017. More specifically, this paper  also attends to investigate the existence of a long-run relationship between them. This study perform a multivariate cointegration test with political stability as a control variable and cross-check this long-run relationship with an autoregressive distributed lag (ARDL) model approach to cointegration. This study also use the Granger causality test within a vector error correction model (VECM) framework and estimate three different models using a non-linear specification: Ordinary Least Squares (OLS) estimation, Fully Modified OLS (FM-OLS) and Dynamic Ordinary Least Squares (DOLS). The results show cointegration among the variables specified in the model when political stability is taken into account. Indeed, for economic growth and democracy to move together in the long run, they need to be associated with political stability. The tests for Granger causality conducted show a long-run causality running from GDP and political stability to democracy. In other word, the economic growth and political stability Granger cause democracy. It is the economic performance that influences democracy and not the reverse. In short-run, there is neutrality causation between democracy and growth, democracy and political stability, growth and political stability. These results suggest that economic growth through strong institutions is a precondition for democratization.

Investigating the Presence of Environmental Kuznets Curve Hypothesis in India and China: An Autoregressive Distributive Lag Approach

2019 ◽  
Vol 8 (2) ◽  
pp. 194-210
Author(s):  
Ritu Rani ◽  
Naresh Kumar
Keyword(s):  
Economic Growth ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Annual Growth Rate ◽  
Ekc Hypothesis ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
India And China

The Environmental Kuznets Curve (EKC) hypothesis advocates a reversed U-shaped association between different pollutants and per capita income. EKC postulates that speedy growth certainly results in environmental degradation due to glut use of natural resources and emission of pollutants. The study used carbon dioxide (CO2) emissions, economic growth, energy consumption, and the annual growth rate of population to investigate the EKC hypothesis in India and China for the period of 1971–2013. Furthermore, to explore the long-run and short-run relationship among competing variables, the autoregressive distributed lag model (ARDL) is used. Granger causality test is used to investigate the long-run and short-run causality between variables under study. The results support the EKC hypothesis in India and China, in both long-run and short-run, and inverse U-shaped association is found between CO2 emission and economic growth. Unidirectional causality seen in both countries in terms of economic growth and CO2 emissions. In addition, the coefficient of economic growth in a short-run model provides the evidence that there has been a gradual decline in environmental degradation (downward sloping of EKC) and the quality of the environment is gradually improving in China. Based on the findings, the study suggests that environmental policymakers, especially in India, should seriously address the issue of CO2 emissions as it has a tendency to move faster in the coming years.

scholarly journals Investigating the Dynamic Impact of FDI Inflows and Economic Growth on Environmental Degradation: Evidence From FMOLS and DOLS for Selected Asian Countries

2021 ◽  
Vol 16 (3) ◽  
pp. 183-202
Author(s):  
Hamad Hasul Khan ◽  
◽  
Siti Rahyla Rahmat ◽  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Environmental Degradation ◽  
Ordinary Least Squares ◽  
Kuznets Curve ◽  
Asian Countries ◽  
Fdi Inflows ◽  
Long Run

The study examines the dynamic relationship between foreign direct investment (FDI) inflows, economic growth, and environmental degradation and investigates the long-run validity of the environmental Kuznets curve (EKC) and the pollution haven hypothesis (PHH) for selected Asian countries over the period 1990–2019. Additionally, this study aims to discover the longrun impact of energy consumption, globalization, and population density on environmental degradation by employing a panel cointegration approach, fully modified ordinary least squares (FMOLS), and dynamic ordinary least squares (DOLS). The findings provide clear evidence of the existence of EKC and PHH in Asian countries for the period 1990–2019 in the long run. The findings reveal that economic growth has a highly significant and positive role in depleting environmental quality, but this effect gets reversed in the long run as, after a certain turning point, economic growth increases, and the quality of the environment gets better. Moreover, FDI inflows and energy consumption have a positive long-run impact on CO2 emissions, thus contributing to environmental degradation. The study recommends that governments and policymakers should strategically devise and implement CO2 reduction policies, such as carbon pricing, to encourage economic growth and to improve the quality of the environment, with the ultimate goal being to achieve sustainable development. Moreover, the use of cleaner energy should be promoted, and innovations and technological developments should be encouraged for hydropower, wind power, solar energy and other facilities around the world.

scholarly journals The Role of Energy Consumption, Economic Growth and Globalization in Environmental Degradation: Empirical Evidence from the BRICS Region

2021 ◽  
Vol 13 (4) ◽  
pp. 1924
Author(s):  
Habib Ur Rahman ◽  
Umer Zaman ◽  
Jarosław Górecki
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Environmental Degradation ◽  
Carbon Emission ◽  
Panel Cointegration ◽  
Ordinary Least Squares ◽  
Kuznets Curve ◽  
Annual Data ◽  
Long Run

This paper examines the effect of energy consumption, globalization, and economic growth on the CO2 emission of the BRICS (Brazil, Russian Federation, India, China and South Africa) region. Using annual data from 1989 to 2019, this research applies a panel cointegration approach. In this framework, we use Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) methods to examine the long-run relationship between the selected variables. This empirical investigation reveals that there is a long-run association between these variables, and energy consumption positively and significantly affects the carbon emission in these countries. These results indicate that energy consumption is the primary source of environmental degradation in the region. In contrast, the globalization (KOF Index of Globalization) negatively and significantly affects the carbon emission, implying the improvement of environmental quality. Further, this research could not find the presence of environmental Kuznets curve in the region. Policy guidelines are suggested in the line of findings.

scholarly journals The Importance of the Financial Derivatives Markets to Economic Development in the World’s Four Major Economies

2019 ◽  
Vol 12 (1) ◽  
pp. 35 ◽  
Author(s):  
Duc Vo ◽  
Son Huynh ◽  
Anh Vo ◽  
Dao Ha
Keyword(s):  
Economic Development ◽  
Least Squares ◽  
Ordinary Least Squares ◽  
Supporting Evidence ◽  
Long Run ◽  
Short Run ◽  
Derivative Markets ◽  
Derivatives Markets ◽  
Growth Volatility ◽  
The U.S

Over the past three decades, China and India have attained economic power close to that of Japan and the U.S. During this period, the importance of the derivatives market within the financial market has been widely recognized. However, little supporting evidence is available on its economic effects. This paper investigates the dynamic relationship between the derivatives markets and economic development in these four large economies, which we consider together as the CIJU (China, India, Japan, and the U.S.) group. We use a Granger-causality test in the framework of a vector error correction model (VECM) to examine this causal and dynamic relation with data for the period 1998Q1 to 2017Q4. Derivative markets are found to positively contribute to economic development in the short run in the U.S., Japan, and India, but the effect disappears in the long run. In China, the derivatives market has a negative effect on economic development in the short run. However, in the long run, we observe a positive effect from the derivatives market on economic development based on two long-run estimation techniques, namely, dynamic ordinary least squares and fully modified ordinary least squares. Also, the development of derivative markets causes growth volatility in India, both in the short run and long run.

Does human capital matter for reduction in energy consumption in India?

2019 ◽  
Vol 13 (2) ◽  
pp. 359-376 ◽  
Author(s):  
Vaseem Akram ◽  
Bhushan Praveen Jangam ◽  
Badri Narayan Rath
Keyword(s):  
Human Capital ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Least Squares ◽  
Negative Relationship ◽  
Ordinary Least Squares ◽  
Annual Data ◽  
Content Type ◽  
Long Run ◽  
Short Run

Purpose This paper aims to investigate whether improvement in human capital can foster energy conservation by reducing the energy consumption in India using annual data from 1980 to 2014. Further, this study examines the relationship between human capital and various forms of energy consumption such as electricity, coal, natural gas, hydrocarbon gas and petroleum consumption. Design/methodology/approach To attain the objective, the study investigates this relation through the auto-regressive distributed lag model (ARDL) technique to find a long-run and short-run relationship. Second, to check the robustness of the results, the authors use alternative econometric methods such as dynamic ordinary least squares and fully modified dynamic ordinary least squares. Findings The results reveal a negative relationship between human capital and energy consumption, which implies that improvement in human capital lowers the energy consumption and various forms energy consumption, except for petroleum consumption. The results derived from ARDL show that there exists a long-run and short-run association between human capital and energy consumption. The results are consistent across the econometric techniques. Practical implications Because G20 countries including India aim at reducing carbon emission to a certain level, this study provides an insight that by emphasizing on human capital, India can reduce energy consumption, which would foster energy conservation. Originality/value To the best of the authors’ knowledge, this the first study in India which attempts to examine the effect of human capital on energy consumption and its various forms.

scholarly journals DO EUROPEAN REAL ESTATE STOCKS HEDGE INFLATION? EVIDENCE FROM DEVELOPED AND EMERGING MARKETS

2014 ◽  
Vol 18 (2) ◽  
pp. 178-197 ◽  
Author(s):  
Chyi Lin Lee ◽  
Ming-Long Lee
Keyword(s):  
Real Estate ◽  
Emerging Markets ◽  
Least Squares ◽  
Ordinary Least Squares ◽  
The Real Estate ◽  
Empirical Results ◽  
Expected Inflation ◽  
Long Run ◽  
Short Run ◽  
Inflation Hedging

This study examines the inflation-hedging properties of European real estate stocks in developed and emerging markets over 1990 to 2011. The Fama and Schwert model and a dynamic ordinary least squares (DOLS) regression were employed to study the inflation-hedging characteristics of European real estate stocks over the short run and long run. The empirical results show little inflationhedging ability of European real estate stocks over the short run. Over the long run, developed real estate stocks provide a positive inflation hedge against expected inflation, while no similar evidence is found in the emerging markets. The findings suggest that the inflation-hedging properties of real estate stocks are related to the institutional involvement in the real estate stock markets. The finding could have profound implications to institutional investors.

scholarly journals Empirical Analysis of the Environmental Kuznets Curve for Co2 Emissions in Nigeria: The Role of Industrialization and Urbanization

2020 ◽  
pp. 265-272
Author(s):  
Emmanuel O. Okon
Keyword(s):  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Significant Variable ◽  
Ekc Hypothesis ◽  
Bounds Testing ◽  
Long Run ◽  
Short Run ◽  
Per Capita

The proposed inverted U-type relationship between environmental degradation and per capita income under EKC hypothesis has been examined in this paper for Nigeria over the period 1970-2019. Using the ARDL bounds testing approach to cointegration and ECM (OLS Approach), the EKC hypothesis does not seem to hold both in short-run and long-run. The estimated coefficients of the long-run relationship shows that LOGCO2(-1) is the only statistically significant variable explaining environmental degradation while the short run results indicate that D(LOGCO2(-1)) is the most significant variable in explaining environmental degradation in Nigeria followed by D(LOGIND(-1)).

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