The impact of financial development,income, energy and trade on carbon emissions: Evidence from the Indian economy

This paper examines the long-run equilibrium and the existence and direction of a causal relationship between carbon emissions, financial development, economic growth, energy consumption and trade openness for India. Our main contribution to the literature on Indian studies lies in the investigation of the causes of carbon emissions by taking into account the role of financial development and using single country data. The results suggest that there is evidence on the long-run and causal relationships between carbon emissions, financial development, income, energy use and trade openness. Financial development has a long-run positive impact on carbon emissions, implying that financial development improves environmental degradation. Moreover, Granger causality test indicates a long-run unidirectional causality running from financial development to carbon emissions and energy use. The evidence suggests that financial system should take into account the environment aspect in their current operations. The results of this study may be of great importance for policy and decision-makers in order to develop energy policies for India that contribute to the curbing of carbon emissions while preserving economic growth.     

The energy consumption-real GDP nexus revisited: Empirical evidence from 93 countries

In this paper, we analyse the long-run relationship between energy consumption and real GDP for 93 countries. We find mixed results on the impact of energy consumption on real GDP, with greater evidence at the country level supporting energy consumption having a negative causal effect on real GDP. For the G6 panel of countries, we find significant evidence that energy consumption negatively Granger causes real GDP. This means that for countries where energy consumption has a negative long-run causal effect on real GDP, energy conversation policies should not retard economic growth. We identify these countries and regional panels. We argue that these countries/regions should play a greater role in reducing carbon dioxide emissions.     

CO2 emissions,output, energy consumption,and trade in Tunisia

This article contributes to the literature by investigating the dynamic relationship between carbon dioxide (CO₂) emissions, output (GDP), energy consumption, and trade using the bounds testing approach to cointegration and the ARDL methodology for Tunisia over the period 1971–2008. The empirical results reveal the existence of two causal long-run relationships between the variables. In the short-run, there are three unidirectional Granger causality relationships, which run from GDP, squared GDP and energy consumption to CO₂ emissions. To check the stability in the parameter of the selected model, CUSUM and CUSUMSQ were used. The results also provide important policy implications.     

The causal dynamics between renewable energy,real GDP,emissions and oil prices: evidence from OECD countries

This study extends the empirical literature on the determinants of renewable energy consumption in the case of 25 OECD countries for the period 1980–2011. Preliminary analysis suggests the presence of cross-sectional dependence within the panel data. As a result, second-generation panel unit root tests of Smith et al. (2004) and Pesaran (2007) are undertaken to find the respective variables that are integrated of order one. Panel cointegration and error correction modelling reveal that a long-run relationship exists between renewable energy consumption per capita, real GDP per capita, carbon dioxide emissions per capita and real oil prices. The long-run elasticity estimates are positive and statistically significant for real GDP per capita, carbon dioxide emissions per capita and real oil prices. The panel error correction model shows that a feedback relationship exists among the variables.     

The energy-GDP nexus: Evidence from a panel of Pacific Island countries

The Pacific Island countries are small island economies that are increasingly dependent on energy for growth and development, yet highly susceptible to climate change. Thus, the relationship between energy consumption and GDP is crucial for realizing their future development and growth objectives. This article tests for Granger causality and provides long-run structural estimates for the relationship between energy consumption, GDP and urbanization for a panel of Pacific Island countries. For the panel as a whole in the long-run there is bidirectional Granger causality between energy consumption and GDP and these variables exert a positive impact on each other. A 1% increase in energy consumption increases GDP by 0.11%, while a 1% increase in GDP increases energy consumption by 0.23%. The findings suggest that for the panel as a whole these countries should increase investment in energy infrastructure and regulatory reform of energy infrastructure to improve delivery efficiency, continue to promote alternative energy sources and put in place energy conservation policies to reduce unnecessary wastage. These strategies seek to realize the dual objectives of reducing the adverse effects of energy use on the environment, while avoiding the negative effect on economic growth of reducing energy consumption.     

Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data

This paper applies the most recently developed panel unit root, heterogeneous panel cointegration and panel-based error correction models to re-investigate co-movement and the causal relationship between energy consumption and real GDP within a multivariate framework that includes capital stock and labor input for 16 Asian countries during the 1971–2002 period. It employs the production side model (aggregate production function). The empirical results fully support a positive long-run cointegrated relationship between real GDP and energy consumption when the heterogeneous country effect is taken into account. It is found that although economic growth and energy consumption lack short-run causality, there is long-run unidirectional causality running from energy consumption to economic growth. This means that reducing energy consumption does not adversely affect GDP in the short-run but would in the long-run; thus, these countries should adopt a more vigorous energy policy. Furthermore, we broaden the investigation by dividing the sample countries into two cross-regional groups, namely the APEC and ASEAN groups, and even more important results and implications emerge.     

Economic growth and carbon emissions: evidence from CIVETS countries

ABSTRACT

This paper examines whether a long-run relationship exists between CO₂ emissions and selected variables: real gross domestic product per capita, inward stock of foreign direct investments, gross fixed capital formation, industry, value added and energy use per capita for Colombia, Indonesia, Viet Nam, Egypt, Turkey and South Africa countries in the period of 1989–2016. We used panel unit root testing, followed by panel cointegration tests and panel causality. The results clearly prove the existence of a bidirectional long-run causal relationship between all the variables except between CO₂ emissions and GDP and CO₂ emissions and GFCF. Major finding of the short-run causality analysis is that CO₂ emission in the short run does not result in changes of other variables. On the other hand, all variables except foreign direct investments (FDI) cause the changes in the CO₂ emissions, and there is a positive bidirectional causal relationship between GDP and FDI, between GFCF and FDI, and between GFCF and IVA. Finally, positive unidirectional causal relationship also exists, running from GDP to IVA, GDP to ENUSE, IVA to FDI and ENUSE to FDI.     

Do oil consumption and economic growth intensify environmental degradation? Evidence from developing economies

The purpose of this article is to empirically investigate the impact of economic growth, oil consumption, financial development, industrialization and trade openness on carbon dioxide (CO₂) emissions, particularly in relation to major oil-consuming developing economies. This study utilizes annual data from 1980 to 2012 on a panel of 18 developing countries. Our empirical analysis employs robust panel cointegration tests and a vector error correction model (VECM) framework. The empirical results of three panel cointegration models suggest that there is a significant long-run equilibrium relationship among economic growth, oil consumption, financial development, industrialization, trade openness and CO₂ emissions. Similarly, results from VECMs show that economic growth, oil consumption and industrialization have a short-run dynamic bidirectional feedback relationship with CO₂ emissions. Long-run (error-correction term) bidirectional causalities are found among CO₂ emissions, economic growth, oil consumption, financial development and trade openness. Our results confirm that economic growth and oil consumption have a significant impact on the CO₂ emissions in developing economies. Hence, the findings of this study have important policy implications for mitigating CO₂ emissions and offering sustainable economic development.     

Energy consumption,carbon emissions,and economic growth in India: Evidence from directed acyclic graphs

This study investigates the temporal linkages among economic growth, energy consumption, and carbon emissions for India during the period 1970–2008 using recently developed methods of out-of-sample Granger causality tests and directed acyclic graphs (DAG). Building on the data-driven DAG representation, we uncover the contemporaneous causal patterns between economic activities and environmental pollutants, which is first documented in the literature and could further improve the investigation of the dynamic linkage pattern. The results show that energy consumption uni-directionally Granger causes carbon emissions and economic growth, while there is a bidirectional causality between carbon emissions and economic growth. We also find that trade openness is one of the important determinants of energy consumption and carbon emissions. Some important policy implications are also discussed.     

中国温室气体排放、能源消费与经济增长的实证分析

本文利用时间序列计量经济方法检验了中国的CO2排放量与能源消费、GDP、对外贸易、资本形成、人口等变量之间的关系。研究发现变量之间存在长期的均衡关系。长期内变量之间存在着双向因果关系;而在短期内,存在着GDP、能源消费、对外贸易、资本形成到CO2排放量等四种单向因果关系,其中CO2排放、能源消费、GDP和资本形成在各自的因果关系中所起的作用尤为显著。实证结果也发现能源消费对CO2排放具有加速影响趋势,对外贸易对CO2排放的影响也十分关键,而且变量之间存在着一个稳定的CO2排放方程。相应的政策建议是,中国应该实施低碳经济战略,加快低碳转型,发展低碳经济。     

A contribution of foreign direct investment,clean energy,trade openness,carbon emissions and economic growth to energy demand in UAE

This paper investigates the relationship between foreign direct investment, clean energy, trade openness, carbon emissions and economic growth in case of UAE covering the period of 1975Q1–2011Q4. We have tested the unit properties of variables in the presence of structural breaks. The ARDL bounds testing approach is applied to examine the cointegration by accommodating structural breaks stemming in the series. The VECM Granger causality approach is also applied to investigate the causal relationship between the variables. Our empirical findings confirm the existence of cointegration between the series. We find that foreign direct investment, trade openness and carbon emissions decline energy demand. Economic growth and clean energy have positive impact on energy consumption.     

Dynamics between energy,output, openness and financial development in sub-Saharan African countries

This study aims to establish the connection between energy use, economic output, financial development and trade, based on the panel data of 15 sub-Saharan African (SSA) countries during the period from 1983 to 2010. One full main panel and two subpanels were created by incorporating low-income and middle-income countries. The panel cointegration test results indicate a long-run relationship between the variables. The mean group (MG) estimators show that energy consumption, financial development, capital and international trade have significant impacts on economic output. In the case of middle-income countries, the Granger causality analysis reveals that rising economic output leads to higher energy consumption, but this is not true vice versa. This means that energy conservation measures are unlikely to have adverse impacts upon economic output. On the other hand, there is a complementary relationship between financial development and energy consumption. In this case, energy conservation measures should be critically analysed and implemented, so as not to have an unfavourable impact on financial development. In regard to low-income economies, there is no relationship between energy use and any of the other variables mentioned. Thus, a reduction in energy consumption has little or no significant impact on output, financial development, capital and trade.     

Social security expenditure and GDP in OECD countries: A cointegrated panel analysis

Abstract

Using panel data unit root tests and panel cointegration tests, as well as estimation techniques appropriate for heterogeneous panels such as the full modified OLS, this paper re-examines the long-run co-movement and the causal relationship between GDP and social security expenditure in a bivariate model, employing data on 25 OECD countries from 1980 to 2001. Our cointegration test results show strong evidence in favour of the existence of a long-run equilibrium cointegrating relationship between GDP and social security expenditure after allowing for a heterogeneous country effect. Regarding the panel-based error correction model, we find that GDP and social security expenditure lack short-run causality, but reveal the existence of long-run bidirectional causality. This shows that, in the long run, economic growth must be based on a social welfare policy that should be carried out, and economic growth can facilitate contiguous development in a social welfare policy. Lastly, we also provide evidence to support that social security expenditure can affect growth through the savings and human capital accumulation in OECD countries.     

Relationship between trade openness and economic growth in Latin America: A causality analysis with heterogeneous panel data

We empirically analyze the causality relationship between economic growth and international trade using new advancements in the econometric methodology for heterogeneous panel data applied to Latin American countries. First, we test for dependencies between the units of cross‐section (countries) and then we test for cointegration between growth and openness. Finally, we test for Granger causality using a heterogeneous panel data test. The results reject the hypothesis of general, unidirectional, and homogeneous relationship between trade openness and economic growth in Latin American countries as a group. However, considering heterogeneity, we found significant evidence of causality from trade liberalization to economic growth in Chile, Peru, Nicaragua, and Uruguay; we have found bidirectional causality in Mexico and Honduras; and a causal relationship from economic growth to trade liberalization in Colombia, Costa Rica, Guatemala, and the Dominican Republic.     

Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member

This paper investigates the long run Granger causality relationship between economic growth, carbon dioxide emissions and energy consumption in Turkey, controlling for gross fixed capital formation and labor. The most interesting result is that carbon emissions seem to Granger cause energy consumption, but the reverse is not true. The lack of a long run causal link between income and emissions may be implying that to reduce carbon emissions, Turkey does not have to forgo economic growth.     

Testing the tourism-induced EKC hypothesis: The case of Singapore

This study investigates the relationship between tourism development and carbon emissions in Singapore through testing Environmental Kuznets Curve hypothesis, which is a major tourist destination state and whose economy is linked with diverse energy resources, high-level urbanization, and rapid industrialization. Results reveal that tourism development and carbon emissions are in long-term equilibrium relationship; carbon dioxide emission converges to its long-term equilibrium level by 76.0% speed of adjustment through the channels of tourism, energy consumption, and output growth. Tourist arrivals have a negatively significant effects on carbon dioxide emission levels both in the long-term and the short-term periods. Finally, results of the Granger causality tests reveal that there is unidirectional causality that runs from tourism development to carbon emission growth in the long-term of the economy of Singapore. Therefore, the tourism-induced EKC hypothesis is confirmed in the case of Singapore.     

How strong is the causal relationship between globalization and energy consumption in developed economies? A country-specific time-series and panel analysis

We examine the causal relationship between globalization, economic growth and energy consumption for 25 developed economies using both time series and panel data techniques for the period 1970–2014. Due to the presence of cross-sectional dependence in the panel (countries from Asia, North America, Western Europe and Oceania), we employ the cross-sectional augmented IPS test to ascertain unit root properties. The cointegration test results indicate the presence of a long-run association between globalization, economic growth and energy consumption. Long-run heterogeneous panel elasticities are estimated through the common correlated effects mean group estimator and the augmented mean group estimator. The empirical results reveal that, for most countries, globalization increases energy consumption. In the USA and UK, globalization is negatively correlated with energy consumption. The causality analysis indicates the presence of the globalization-driven energy consumption hypothesis. This empirical analysis suggests insightful policy guidelines for policy makers using globalization as an economic tool to utilize energy efficiently for sustainable economic development in the long run.     

A multivariate time series analysis of energy consumption,real output and pollutant emissions in a developing economy: New evidence from Nepal

Mountain economies will have to play a central role in attaining the global pursuit of green economic growth as crucial bearers of ecosystems goods and services. However, these economies are not adequately represented in the development policy debates in spite of their fundamental importance towards global sustainable development. This study examines the inter relationships between energy consumption, output and carbon emissions in a developing mountainous economy using an augmented Vector Autoregression model. Time-series data over the period 1975–2013 is studied applying a multivariate framework using population and gross fixed capital formation as additional variables for Nepal. Testing for Granger causality between integrated variables based on asymptotic theory reveals a long-run unidirectional Granger causality running from GDP to energy consumption, and a unidirectional Granger causality running from carbon emissions to GDP. We suggest that the government of Nepal can address energy poverty by accelerating the adoption energy conservation policies such as rationing energy consumption and energy efficiency improvements to narrow the energy supply-demand gap. The opportunity to promote the uptake of decentralised off-grid renewable technologies in remote areas and the large scale development of hydropower at the national level also needs to be prioritized. Our results remain robust across different estimators and contributes to an emerging literature on the nexus relationships between energy consumption, income and carbon emissions in mountainous developing economies.     

The role of trade openness and investment in examining the energy-growth-pollution nexus: empirical evidence for China and India

Most of the existing literature dealing with the relationship between carbon emissions, energy consumption and economic growth either suffers from ignoring relevant variables such as trade openness or investment, or suffers from using econometric methods that are unable to distinguish between short- and long-term causality and are not robust to the degree of integration of time series used for the analysis. This article suggests using the autoregressive distributed lag approach along with additional explanatory variables such as measures of trade and investment to shed a new light on the link between emissions, energy consumption and income in the two largest and energy-intensive developing economies: China and India. Our results, over the 1971–2009 period, provide evidence that investment plays a major role in shaping the relationship between carbon emissions, energy consumption and income in China while this is not the case in India. Furthermore, trade openness is found to play a key function in the short term in China but does not contribute to the emissions-energy-growth scenario in India.     

Revisiting the environmental kuznets curve hypothesis: evidence from the ASEAN-5 countries with structural breaks

This paper tests if the Environmental Kuznets Curve (EKC) hypothesis exists for ASEAN-5 countries in an annual sample data that covers 1971–2013, by utilizing Auto Regressive Distributed Lag (ARDL) methodology. The empirical findings give support for the EKC hypothesis for Thailand only, after considering the structural breaks. Furthermore, the paper tests the EKC hypothesis for a panel data of the ASEAN-5 by adopting the Pooled Mean Group (PMG) methodology. The results show that the long-run estimates provide no evidence for the EKC hypothesis. Finally, the paper examines the causality between the CO₂ emissions and GDP. For individual countries, bidirectional causality was found in the case of Thailand and Malaysia, plus unidirectional causality running from GDP and squared GDP to CO₂ emissions was found for Indonesia, but a unidirectional causality running from CO₂ emissions to GDP and squared GDP was found for the Philippines, however, no causality effect was found for Singapore. Furthermore, the pairwise Dumitrescu and Hurlin Panel Causality test show a bidirectional effect between CO₂ emissions and both GDP in addition to squared GDP.