能源消耗、二氧化碳排放与APEC地区经济增长——基于SBM-Undesirable和Meta-frontier模型的实证研究

针对以往效率测算方法存在的缺陷以及跨国研究中制度的异质性问题,本文采用SBM-Undesirable模型和Meta-frontier生产函数这一综合分析框架,在能源消耗和二氧化碳排放的双重约束条件下,测算了APEC地区17个成员1980-2007年期间的经济增长效率,并对双重约束下经济增长效率的影响因素进行了计量检验。研究发现,除了发展中国家群组之外,发达国家群组和东亚新兴经济体群组中有部分国家(和地区)在个别年份位于潜在最佳生产技术的共同边界上;各群组的共同技术效率(MTE)和共同技术比率(MTR)平均值从高到低的排序均依次为发达国家、东亚新兴经济体和发展中国家;人均GDP、工业化水平、人口密度、劳均资本以及对外开放程度等因素对双重约束下APEC地区共同技术效率具有显著影响,但对三大群组技术效率的影响方向及程度则呈现出不尽相同的结果。     

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,economic growth,energy consumption,trade and urbanization in new EU member and candidate countries: A panel data analysis

This paper investigates the causal relationship between energy consumption, carbon dioxide emissions, economic growth, trade openness and urbanization for a panel of new EU member and candidate countries over the period 1992–2010. Panel unit root tests, panel cointegration methods and panel causality tests are used to investigate this relationship. The main results provide evidence supporting the Environmental Kuznets Curve hypothesis. Hence, there is an inverted U-shaped relationship between environment and income for the sampled countries. The results also indicate that there is a short-run unidirectional panel causality running from energy consumption, trade openness and urbanization to carbon emissions, from GDP to energy consumption, from GDP, energy consumption and urbanization to trade openness, from urbanization to GDP, and from urbanization to trade openness. As for the long-run causal relationship, the results indicate that estimated coefficients of lagged error correction term in the carbon dioxide emissions, energy consumption, GDP, and trade openness equations are statistically significant, implying that these four variables could play an important role in adjustment process as the system departs from the long-run equilibrium.     

Decomposing the decoupling of CO2 emissions and economic growth in Brazil

This paper examines the occurrence of a decoupling between the growth rates in economic activity and CO₂ emissions from energy consumption in Brazil from 2004 to 2009. This decoupling was highlighted when economic activity and CO₂ emissions moved in opposite directions in 2009. More generally, we observe several periods of relative decoupling in Brazil, but not to the extent witnessed in 2009. To identify the determinants of emissions change, we develop a decomposition model based on a log-mean Divisia index (LMDI) framework. The results indicate that the carbon intensity and energy mix are the main determinant of emissions reduction in Brazil between 2004 and 2009. Modifications in the economy structure are also associated to emission mitigation in the period. Such evidence demonstrates similarities with events of decoupling registered for the interval 1980-1994 in Brazil. Finds from Brazil differ from observations in other countries in which improvement in energy intensity has been the most common determinant of emissions reduction.     

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.     

A decomposition analysis of CO2 emissions in the United States

This article decomposes the growth in US CO₂ emissions by state. Using the Logarithmic Mean Divisia Index (LMDI) method, we account for CO₂ emissions change in each state between 1990 and 2004. The change is decomposed into five effects: (a) emissions per unit of fossil fuel; (b) share of fossil fuel in total energy consumption; (c) energy intensity; (d) gross state product per capita and (e) population. Results show that for the past 15 years gains in the efficiency of energy use in the economy, the lowering share of fossil fuels in total energy consumption and lowering of emissions intensity of fuels all contributed to offsetting the effect of Gross Domestic Product (GDP) per capita and the population growth in carbon emission across the US.     

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.     

基于新能源的辽宁低碳经济发展研究

利用1990～2008年间的二氧化碳排放量及GDP数据,对二者进行了回归分析。回归结果证明,辽宁省二氧化碳排放量与GDP之间具有较为紧密的联系,如果在能源利用方式和效率上没有发生较大变化,那么随着经济的增长,二氧化碳排放量也会随之快速增长,生态环境将面对更大的压力与破坏。在总结辽宁发展低碳经济的固有局限的基础上,指出辽宁发展低碳经济的重点在于新能源并提出新能源发展策略。     

现代工业型与传统资源型城市能源消耗碳排放的对比分析——以无锡市与包头市为例

以现代工业型与传统资源型城市为研究对象,选取包头市与无锡市为代表进行对比,采用对数平均权重分解法对能源消耗引起的碳排放量进行分解,探究两种类型城市碳排放特征与驱动因素的异同。研究认为：①两种类型城市经济发展同碳排放量协同增长,碳排放效率逐年减小,离绝对减排的目标相差较远。新型工业城市具有高GDP低碳排放的特点,且碳排放量趋于稳定;传统资源型城市具有低GDP高碳排放的特点,碳排放强度、减排空间和潜力均大于前者,且碳排放量有进一步增大的潜力。②以煤为主的能源消费结构在短期内很难得到有效改善,使得能源结构调整收效不大;能源效率的提高对碳排放量起到了微弱的抑制作用;经济发展对碳排放贡献一直保持高位。③发展方式转变和产业结构提升,是工业城市尤其是资源型工业城市发展低碳经济的主要路径。     

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.     

Scenario development in China's electricity sector

The continuing growth of China's electricity sector will affect global environmental and economic sustainability due to its impacts on greenhouse gas emissions and global resource depletion. In 2005, the generation of electricity in China resulted in the emissions of 2290 million metric tonnes of carbon dioxide (approximately 53% of the nation's total) and required 779 million metric tonnes of coal (approximately 50% of China's total coal consumption). These figures are expected to increase with China's economic growth. In order to gauge the range in which fuel consumption and CO₂ emissions could grow a scenario-based conceptual model has been developed by the authors (published in (vol.) of this journal). The application and analysis of this shows that under a business as usual (BAU) scenario, electricity generation could contribute upwards of 56% of China's energy related greenhouse gas emissions by 2020. Meanwhile, consumption of coal will also increase, growing to nearly 60% of total national demand by 2020. However, variations in a number of key drivers could produce significant deviation from the BAU scenario. With accelerated economic output, even with greater technological advances and greater potential to bring natural gas on stream, carbon dioxide emissions would rise 10% above the BAU. Alternatively, in a scenario where China's economy grows at a tempered pace, less investment would be available for advanced technologies, developing natural gas infrastructure, or nuclear energy. In this scenario, reduced economic growth and electricity demand would thereby be countered by reduced efficiency and a higher contribution of coal.     

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.     

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.     

基于Kaya模型的高能耗产业低碳发展研究——以山西省为例

通过Kaya公式计算并描述了山西省1994~2008年工业中各行业的碳足迹,并界定了高能耗行业。通过分解模型定量分析了山西省1998~2008年高能耗行业碳足迹的影响因素贡献大小,计算结果表明经济增长对二氧化碳排放促进作用最大,技术引进对二氧化碳的抑制作用最大。由此提出山西省急需在提高能源使用效率的同时优化产业结构,以提高对二氧化碳排放的抑制作用的政策建议。     

Convergence behavior of carbon dioxide emissions in China

In view of global warming, the concept of a low carbon world economy has been brought to center stage. In this paper, a systematical empirical investigation of the convergence behavior of carbon dioxide emissions in China is conducted based on provincial data for the period of 1995–2011. Using the log t test developed by Phillips and Sul (2007), evident divergence at the country level and convergence to three steady state equilibriums at provincial level was identified. Furthermore, estimates from the ordered logit model uncover important determinants underlying the formation of clubs, including the per capita GDP, energy consumption structure, energy intensity, and initial levels of economic development. The results from this study contribute to a more in-depth understanding of the carbon dioxide emissions status quo in China and serves as reference when launching region-based emissions mitigation policies.     

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.     

长三角地区碳排放影响因素分析——基于IPAT改进模型

随着经济发展、人口与能源消耗的增长,以及不合理的能源结构,导致了长三角地区碳排放的不断增加。文章以人口增长率、GDP增长率、能源消耗量、能源技术进步率、能源结构优化系数变动率为影响因素在对IPAT模型进行改进的基础上,对2006-2011年间长三角地区碳排放的影响因素进行定量分析。主要结论是长三角地区能源技术进步率与能源结构优化的减排作用还不能抵消人口与GDP的快速增长的影响,受能源结构优化系数变动比率逐步增加的影响,碳排放量受人口增长率与GDP增长率的影响呈逐年减小趋势,能源技术进步率与能源结构优化的减排作用日趋显著。     

On the potential economic costs of cutting carbon dioxide emissions in Portugal

The objective of this paper is to estimate the impact of reducing carbon dioxide emissions from fossil fuel combustion activities on economic activity in Portugal. We find that energy consumption has a significant impact on macroeconomic activity. In fact, a 1 ton of oil equivalent permanent reduction in aggregate energy consumption reduces output in the long term by €6,340. More importantly, and since carbon dioxide emissions are linearly related to the amounts of fuel consumed, our results allow us to estimate the costs of reductions in carbon dioxide emissions. We estimate that a uniform standard for reducing carbon dioxide emissions from fossil fuel combustion activities would lead to a marginal abatement cost of €95.74 per ton of carbon dioxide. This is a first rough estimate of the potential economic costs of policies designed to reduce carbon dioxide emissions. At this level one may conclude that uniform, across the board reductions in carbon emissions would have a clear negative effect on economic activity. Hence, at the aggregate level there is clear evidence for a trade-off between economic performance and a reduction in carbon emissions. This opens the door to the investigation of the scope for policy to minimize the costs of environmental policy and regulation.     

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。     

能源价格与中国碳排放量的调节

利用直接效用模型与岭回归分析方法,以1989—2009年的年度数据为样本,以能源价格为解释变量,碳排放量为被解释变量,能源消费、能源效率和经济发展为中间变量,初步探究能源价格波动对中国碳排放量的调节作用。结果表明：无论是能源价格变量单独作用还是与其他变量联合作用,能源价格都会对碳排放量产生不同程度的调节作用,调节程度的强弱主要取决于引入变量与碳排放量之间的相关性。