Energy consumption, carbon emissions, and economic growth in China

This paper investigates the existence and direction of Granger causality between economic growth, energy consumption, and carbon emissions in China, applying a multivariate model of economic growth, energy use, carbon emissions, capital and urban population. Empirical results for China over the period 1960-2007 suggest a unidirectional Granger causality running from GDP to energy consumption, and a unidirectional Granger causality running from energy consumption to carbon emissions in the long run. Evidence shows that neither carbon emissions nor energy consumption leads economic growth. Therefore, the government of China can purse conservative energy policy and carbon emissions reduction policy in the long run without impeding economic growth.     

Energy consumption,income, and carbon emissions in the United States

This paper investigates the effect of energy consumption and output on carbon emissions in the United States. Earlier research focused on testing the existence and/or shape of an environmental Kuznets curve without taking energy consumption into account. We investigate the Granger causality relationship between income, energy consumption, and carbon emissions, including labor and gross fixed capital formation in the model. We find that income does not Granger cause carbon emissions in the US in the long run, but energy use does. Hence, income growth by itself may not become a solution to environmental problems.     

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.     

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 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.     

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.     

Is energy consumption effective to spur economic growth in Pakistan? New evidence from bounds test to level relationships and Granger causality tests

The present study investigates the relationship between energy (renewable and nonrenewable) consumption and economic growth using Cobb–Douglas production function in case of Pakistan over the period of 1972–2011. We have used the ARDL bounds testing and Gregory and Hansen (1990) structural break cointegration approaches for long run while stationarity properties of the variables have been tested applying Clemente-Montanes-Reyes (1998) structural break unit root test.Our results confirm cointegration between renewable energy consumption, nonrenewable energy consumption, economic growth, capital and labor in case of Pakistan. The findings show that both renewable and nonrenewable energy consumption add in economic growth. Capital and labor are also important determinants of economic growth. The VECM Granger causality analysis validates the existence of feedback hypotheses between renewable energy consumption and economic growth, nonrenewable energy consumption and economic growth, economic growth and capital.     

能源消费、结构突变与中国经济增长:1952-2005

能源是现代经济增长的必要支撑,但是在理论上,能源与经济增长的关系并不明确.本文采用向量误差修正模型结合结构穿变分析,实证检验基于生产函数的能源消费与中国经济增长的关系.结果显示,"大跃进"的终结与大庆油田的量产,引发产业结构与能源结构的变迁,导致1961年能源消费也现结构突变.这使得1952-2005年能源消费与中国经济增长之间不存在长期均衡关系,但1962-2005年二者间具有协整关系.在短期能源消费内生于经济增长,长期中经济增长是能源消费变动的诱因.需要指也的是,如果忽略产业结构的影响,会低估能源消费在经济增长中的作用.     

The nexus between electricity consumption and economic growth in Bahrain

This paper explores the relationship between electricity consumption, foreign direct investment, capital and economic growth in the case of the Kingdom of Bahrain. The Cobb–Douglas production is used over the period of 1980Q1–2010Q4. We have applied the ARDL bounds testing approach and found that cointegration exists among the series. Electricity consumption, foreign direct investment and capital add in economic growth. The VECM Granger causality analysis has exposed the feedback effect between electricity consumption and economic growth and the same is true for foreign direct investment and electricity consumption. This study suggests government authorities to explore new sources of energy to achieve sustainable economic development for the long run.     

Does financial development reduce CO2 emissions in Malaysian economy? A time series analysis

This study deals with the question whether financial development reduces CO₂ emissions or not in case of Malaysia. For this purpose, we apply the bounds testing approach to cointegration between the variables. We establish the presence of significant long-run relationships between CO₂ emissions, financial development, energy consumption and economic growth. The empirical evidence also indicates that financial development reduces CO₂ emissions. Energy consumption and economic growth add in CO₂ emissions. The Granger causality analysis reveals the feedback hypothesis between financial development and CO₂ emissions, energy consumption and CO₂ emissions and, between CO₂ emissions and economic growth.     

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。     

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.     

黑龙江省碳排放与经济增长——基于协整分析和格兰杰因果检验

采用协整分析、格兰杰(Granger)因果关系检验,利用黑龙江省1990～2009年GDP和碳排放总量的时间序列数据,对黑龙江省碳排放与经济增长的关系进行了实证分析,得出黑龙江省碳排放与经济增长存在长期均衡关系,且碳排放是经济增长的格兰杰原因。     

京津冀能源消费、碳排放与经济增长

运用《2006年IPCC国家温室气体清单指南》中的碳排放核算方法[1],测算2000—2011年京津冀二氧化碳排放量、排放强度、人均排放量和单位面积排放量,从变动趋势、消费结构、相关性和空间分布四个角度分析京津冀的能源消费、碳排放与经济增长。结果表明:京津冀能源消费量和碳排放量在12年间均呈增长趋势;碳排放强度均呈下降趋势;津冀的高排放主要是由以煤炭消费为主的能源结构和以高耗能工业为主的产业结构引起的。碳排放量与能源消费量和经济增长密切相关。在京津冀协同发展背景下,应大力调整产业结构,优化能源结构,建立碳汇合作机制。     

基于LMDI模型的工业碳排放影响因素研究——以无锡市为例

在估算2001～2010年无锡市工业分行业碳排放的基础上,基于改进的迪氏对数平均权重分解法,建立工业部门碳排放影响因素的分解模型。研究发现:工业经济规模效应和工业部门内部结构效应分别对工业碳排放起到显著的促进和抑制作用;工业能源结构变化对工业碳排放影响较小;代表节能环保技术水平的能源强度效应减缓了工业碳排放,但其抑制作用不稳定,能源利用效率仍有较大的提升空间。最后提出了相应的减排政策建议。     

A revalidation of the savings–growth nexus in Pakistan

The aim of this study is to understand the relationship between savings and economic growth in Pakistan over the period 1971–2011. The cointegration and the Granger causality tests are adopted to examine the relationship between the variables. The results confirm the existence of long-run equilibrium among the variables of interest. Meanwhile, savings have positively affected economic growth in both the short run and long run. The Granger results also show that savings Granger-cause economic growth. Based upon these findings, we confirm that savings is a catalyst of growth for the Pakistani economy. Additionally, our results seem more likely to support the capital fundamentalists because the long run estimation as well as the Granger causality results also indicates that savings growth can effectively spur economic growth in Pakistan.     

中国城市化与能源消费关系的动态计量分析

文章在建立向量自回归模型的基础上,运用格兰杰因果分析和协整分析来实证城市化与能源消费之间的动态相关性,并利用因素分解模型定量测算出城市化对中国能源消费变动的贡献份额。研究结果表明,中国城市化与能源消费量之间存在单向的格兰杰因果联系,且二者之间存在着协整关系,但这种长期均衡的短期纠正力量并不很强;现阶段城市化对我国能源需求的贡献作用尚比较小,而且还呈现逐年下降的趋势。因此,在当前条件下,建立有助于资源节约型的城市化推进模式是中国降低能耗的根本路径选择和重要途径。     

碳排放与出口贸易和经济增长之间的关系研究——对山东省1984～2008年数据的计量分析

根据对数均值迪氏分解法计算出了山东省1984～2008年的碳排放量,然后实证分析了经济增长、出口贸易与碳排放之间的动态关系。结论显示:3个变量之间存在长期协整关系;出口贸易是山东省碳排放和经济增长的格兰杰因,而经济增长不是碳排放的原因。出口带动经济增长假说在山东省成立,山东省也是碳污染的天堂和转移排放的对象,但山东省的经济增长和环境关系符合环境库兹涅茨曲线高收入阶段的情况,环境质量随着收入的增加而得到改善。山东省可通过发展减排和贸易减排的方式实现经济的可持续发展和环境友好型社会的建设。     

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.