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.     

Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates

This article contributes to the discussion on the dynamic nexus of renewable energy consumption and unemployment by incorporating nonlinear cointegration and causality analysis. Using a sample of 80 countries spanning the period 1990–2013 and the advanced generation of unit root, cointegration and nonlinear Granger causality methodological approaches in panel data, we obtain mixed results about the impact of renewable energy consumption on unemployment. Although the total findings document a positive impact of renewable energy consumption on unemployment, disaggregated data across specific regions, such as Asia and Latin America, highlight the favourable effect on unemployment, implying that the effect of renewable energy consumption on jobs creation depends on the cost of adopting renewable energy technologies and energy efficiencies that seem to vary across the regions under investigation.     

The relationship between agricultural commodity prices,crude oil prices and US dollar exchange rates: a panel VAR approach and causality analysis

This study examines the relationship between crude oil prices, US dollar exchange rates and 30 selected international agricultural prices and five international fertilizer prices in a panel framework. The study uses panel VAR methods and Granger causality tests on panel data sets of agricultural commodity prices (as well as specific agricultural commodity sub-groups) and fertilizer prices with monthly observations of the period from June 1983 to June 2013. The empirical results of the present study indicate that crude oil prices as well as US dollar exchange rates affect international agricultural commodity and fertilizer prices. Furthermore, contrary to the findings of several studies in the literature, the present study supports bidirectional panel causality effects between crude oil prices and international agricultural prices as well as between US exchange rates and international agricultural prices.     

中国可再生能源产业化发展的成长过程分析

本文在明确可再生能源和可再生能源产业化概念的基础上，分析了可再生能源产业化发展的成长过程，并对中国可再生能源政策的发展阶段、农村能源产业的成长过程、可再生能源技术商业化的发展阶段进行了分析。     

Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach

This paper uses the panel data of energy consumption and GDP for 82 countries from 1972 to 2002. Based on the income levels defined by the World Bank, the data are divided into four categories: low income group, lower middle income group, upper middle income group, and high income group. We employ the GMM-SYS approach for the estimation of the panel VAR model in each of the four groups. Afterwards, the causal relationship between energy consumption and economic growth is tested and ascertained. We discover: (a) in the low income group, there exists no causal relationship between energy consumption and economic growth; (b) in the middle income groups (lower and upper middle income groups), economic growth leads energy consumption positively; (c) in the high income group countries, economic growth leads energy consumption negatively. After further in-depth analysis of energy related data, the results indicate that, in the high income group, there is a great environmental improvement as a result of more efficient energy use and reduction in the release of CO₂. However, in the upper middle income group countries, after the energy crisis, the energy efficiency declines and the release of CO₂ rises. Since there is no evidence indicating that energy consumption leads economic growth in any of the four income groups, a stronger energy conservation policy should be pursued in all countries.     

Modelling the nonlinear relationship between CO2 emissions from oil and economic growth

The purpose of this paper is to examine the relationship between carbon dioxide (CO2) emissions from oil and GDP, using panel data from 1971 to 2007 of 98 countries. Previous studies have discussed the environmental Kuznets curve (EKC) hypothesis, but little attention has been paid to the existence of a nonlinear relationship between these two variables. We argue that there exists a threshold effect between the two variables: different levels of economic growth bear different impacts on oil CO2 emissions. Our empirical results do not support the EKC hypothesis. Additionally, the results of short-term analyses of static and dynamic panel threshold estimations suggest the efficacy of a double-threshold (three-regime) model. In the low economic growth regime, economic growth negatively affects oil CO2 emissions growth; in the medium economic growth regime, however, economic growth positively impacts oil CO2 emissions growth; and in the high economic growth regime, the impact of economic growth is insignificant.     

Related factors and regional differences in energy consumption in China

This article used the Cluster analysis of statistical method to separate China＇s 30 provinces and municipalities into three categories according to their energy consumption discrepancies and characteristics from 1985 to 2007. The categories were high, moderate and low energy consumption areas and they had significant differences in energy consumption. Based on this classification, the authors analyzed the influencing factors of energy consumption in the three areas by means of panel data econometric model. The results showed that the influencing factors were obviously different. In order to support national goal of energy conservation and emission reduction, the energy measures and policies should be distinctly taken.     

中国可再生能源消费、经济增长与碳排放的动态关系

通过协整检验、脉冲响应分析和方差分解,对1980—2009年中国的可再生能源消费、碳排放量与经济增长之间的动态关系、冲击效应和贡献度进行了分析。研究结果显示:可再生能源消费、经济增长与碳排放之间存在长期、稳定的协整关系;经济增长受其他变量的冲击均表现为正效应;可再生能源消费的冲击对碳排放的影响微弱,而经济增长的冲击影响较强而持续,且前期波动剧烈但后期平稳;受碳排放的影响,可再生能源消费的累积冲击效应为负,而且正负冲击效应交替出现。     

A multi-factor efficiency perspective to the relationships among world GDP, energy consumption and carbon dioxide emissions

Most of the research articles on climate change study the relationships between economic growth, and, carbon dioxide (CO₂) emission or energy consumption separately for analyzing the impacts of economic growth and energy consumption on global carbon dioxide emissions. In this paper, the linkages among CO₂ emissions, Gross Domestic Product (GDP) growth and energy consumption are studied simultaneously using Data Envelopment Analysis (DEA). The time period considered for the study is 1980-2001. The results show that world in the year 1980 was the most efficient in achieving the highest economic growth, emitting least carbon dioxide for a given level of energy consumption for that year. The efficiency index reduced in the next 8 years, fluctuated with a declining trend for the next 7 years, and began to rise from 1996 till 2001. The model is further extended in this paper for technology forecasting to identify the links between energy consumption and carbon dioxide emissions for achieving projected levels of GDP under two different assumptions on efficiency index. It has been identified using the forecasting model that, when the carbon dioxide emissions are restricted to the levels emitted in the year 1990 and when the efficiency index for the year 2025 is assumed to be at the level registered for the year 1980 (highest value), the non-fossil energy consumption needed to meet the GDP level projected for 2025 will be much smaller (35.46 quadrillion Btu for the reference GDP) than the values actually recorded in the year 1990 (44.59). However, the non-fossil energy consumption in 2025 (118.8) increases much more than the actual recorded in the year 1990 when the efficiency index in 2025 is assumed to be at the level registered for the year 1990.     

中国城市化与碳排放关系的动态计量分析

城市是碳排放的密集区域,城市化是我国碳排放量增长的重要因素。采用1985-2009年的中国城市化水平数据和同期中国碳排放量的测算数据,运用相关分析、协整检验、格兰杰因果分析和误差修正模型对中国城市化与碳排放的关系进行检验。中国城市化水平与碳排放量具有很高的正相关性,两者之间存在着长期的协整关系,城市化水平的提高是碳排放量增加的重要原因,但碳排放量不是城市化水平的格兰杰原因。城市化水平对碳排放的影响具有滞后性,短期影响较小,长期影响显著。利用脉冲响应函数和预测误差方差分解模型对中国城市化水平与碳排放量进行动态模拟,分析其在长期和短期均衡关系的相互作用机制和影响程度。提出中国实现低碳城市化的建议和对策。     

Determinants of renewable energy adoption in China and India: a comparative analysis

This article examines the dynamic relationships among output, carbon emission and renewable energy generation of India and China during the period 1972 to 2011 using a multivariate vector error correction model (VECM). The results for India reveal unidirectional short-run causality from carbon emission to renewable energy generation and from renewable energy generation to output, whereas in the long run, the variables have bidirectional causality. Causalities in China give a rather different scenario, with a short-run unidirectional causality from output to renewable energy and from carbon emission to renewable energy generation. In the long run, for China, unidirectional causality is found from output to renewable energy generation, while bidirectional causality is found between carbon emission and renewable energy generation.     

中国能源碳足迹与植被碳承载力的对比分析

采用碳足迹方法对2001～2009年中国的能源消费碳足迹、碳承载力和碳赤字作了定量分析。结果表明:中国能源消费碳排放显著增长,能源碳足迹由2001年的1.13Gt上升到2009年的2.21Gt,涨幅高达95.79%;同期碳承载力由1.08Gt增长到1.15Gt,涨幅仅为6.48%;而碳赤字则由0.05Gt提高到1.06Gt,9年间增高了20.24倍。可见由于碳足迹的增长速度远高于碳承载力,致使近来中国碳赤字快速增高,发展节能减排的任务还很艰巨。中国能源消费的碳足迹与美国、德国、印度等国的比较发现,中国能源消费总量碳足迹不容乐观,但人均值远远低于美国和德国等发达国家。     

An empirical analysis of income disparity and consumption in China

Using China’s provincial data from 1991 to 2005, this paper analyzes the impact of urban income disparity on their consumption based on static and dynamic panel data models and state space model. The GMM and Kalman Filter methods are used in the estimation and the variables such as income and price are controlled. The empirical results show that the elasticity of permanent income to consumption is much higher than that of temporary income; and the impact of income disparity on consumption is negative and substantial. A rise of 0.01 in the absolute value of Gini coefficient will cause a reduction of 0.35% in consumption on average. The effects fluctuate with the change of economic structure, consumption expectation and economic cycle. In the beginning years of 1990s, it is positive to enlarge income disparity moderately for consumption. It is the year of 1996 that the negative effect first appears in China. During 1998–2004, an increase of 0.01 to the absolute value of Gini coefficient will result in the reduction of consumption to fluctuate between 0.37% and 0.54%. In order to enlarge domestic demand and promote consumption, the focus should be the improvement of permanent income instead of temporary income, and the vigorous policies to reduce income disparity.     

Oil consumption and economic efficiency: A comparative analysis of advanced, developing and emerging economies

This paper investigates the economic efficiency-oil consumption relationship in 42 countries during the period 1986-2006. In a first stage by using DEA window analysis countries' economic efficiencies are obtained. In a second stage an econometric analysis based on robust GMM estimators reveals an inverted ‘U’-shape relationship between oil consumption and economic efficiency. In order to capture heterogeneities among countries' development stages the analysis has been separated into two groups (advanced economies and developing/emerging economies). The results show that advanced economies have much higher turning points compared to emerging and developing economies. It appears that oil consumption increases countries' economic efficiency. In addition the consumption patterns of oil products and its derivatives have changed through years and among countries. The different turning points from the econometric analysis indicate the dependence of oil consumption in advanced economies (higher turning points) is driven mainly by household purchasing activities and their standards of living (transport, housing and water, food, etc.). Finally, it appears that oil consumption is the main driver behind the progress of industrialization and urbanization regardless of the country's development stage.     

A panel analysis of income inequality and energy use

This paper investigates the relationship between energy consumption and income inequality in an unbalanced panel of 144 countries over the period 1990–2018. Using fixed effect and instrumental variable panel methods and controlling for other determinants of inequality, I find a large and strong negative relationship between energy use and income inequality. The paper also demonstrates that results hold for models which divide the total sample into subsamples of economic blocs and regions. In addition, greater energy use reduces the income share of the top 10% and increases the share of the bottom 40%.     

Trends in energy consumption and carbon dioxide emissions of passenger cars and buses

In this work we develop aggregate car ownership and bus fleet models in order to forecast and compare fuel consumption and CO₂ emissions from passenger cars and buses. Greece was selected as a case study, being a country fairly representative of lower-income Mediterranean and Eastern European countries and data were collected for the period 1970 to 2002. Percent adults in the population, per capita gross domestic product, inflation, unemployment, car occupancy and bus kilometers were predictors included in the car ownership and bus fleet multiple regression models. A shift in the overall trend of both models around 1995 was explained as a slope change of per capita gross domestic product, possibly reflecting the impact of a boom of the Greek Stock Market along with a retirement program for older vehicles. Predictor variables were forecast via Box-Jenkins and the models were subsequently used to develop car ownership and bus fleet forecasts to the year 2010. We predict that the contribution of cars to total CO₂ emissions will rise to an astounding 95% of total CO₂ emissions from road passenger transport (excluding taxis and mopeds), an effect expected in other Mediterranean and Eastern European countries with socioeconomic characteristics similar to Greece. Suggestions for further research include developing regional car ownership forecasts in order to compare the dynamics of different regions within a country and looking into other land transportation means (such as mopeds, taxicabs and railway).     

The causal relationship between natural gas consumption and economic growth: evidence from the G7 countries

This article re-examines the nature of the causality between natural gas consumption and economic growth in G7 countries over the period from 1965 to 2011. We employ the Granger causality procedure proposed by Emirmahmutoglu and Kose (2011) which takes into account cross-sectional dependency and heterogeneity across countries. Our overall empirical results support the neutrality hypothesis for the panel while the individual country results confirm the same result with the exception of the case of UK, where the conservation hypothesis is confirmed, showing that GDP causes natural gas consumption in the country. These results make policies that promote the consumption of natural gas risk-free with regard to their effects to the economic growth and development levels.     

金融发展、能源消费与经济增长关系研究——基于动态面板数据的分析

通过面板数据系统广义矩估计方法,从金融发展、能源消费与经济增长的角度对我国1985~2011年省份进行的实证分析发现,整体而言,金融发展、能源消费与经济增长之间存在显著正相关关系;按照东、中、西部三个地区分类估计得出,区域金融发展、能源消费对经济增长的作用效果存在显著的区域差异性:金融发展对经济增长的作用效果存在自东向西逐次递减的现象,而能源消费对东部地区经济增长的作用效果最大,西部居中,中部最小。     

Renewable and nonrenewable energy production and economic growth in sub-Saharan Africa: a hidden cointegration analysis

The objective of this article is to investigate the hypothesis of asymmetric effects between economic growth and renewable and nonrenewable energy production. To this end, both the linear cointegration and the hidden cointegration methodology are employed, with the latter allowing a straightforward delimitation of the data in an economically sensible way. We test for the presence of hidden cointegration across 12 sub-Saharan African countries spanning the period 1971–2011. The empirical results confirm the growth hypothesis for a subset of countries, suggesting that their growth could be adversely affected by conservation policies, while for a second subgroup of countries they confirm the conservation hypothesis, indicating that conservation policies could enhance the growth process in these countries. The differentiation of the results could be captured entirely by the linear approach, indicating that the lack of cointegration between renewable energy production and economic growth found in previous studies may be due to failures to properly delimit the nonlinearity property in the data.     

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.