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。     

CO2 abatement policy with learning-by-doing in renewable energy

This paper analyzes the implications of CO₂ abatement when there is endogenous technological change in renewable energy. A multi-sector numerical general equilibrium model for Denmark is proposed to reflect two basic assumptions about technological progress in renewable energy. First, there is learning-by-doing and unit costs of production are a decreasing function of cumulated output. Second, technological progress only benefits new vintages of capital. The learning-by-doing process is calibrated to match current projections for technological progress in wind-based electricity. The implications are a marked reduction in the total and marginal cost of abatement and a decline in the optimal level of near-term abatement.     

Causality between income and emission: a country group-specific econometric analysis

Empirical studies of the Environmental Kuznets Curve (EKC) examine the presence or otherwise of an inverted U-shaped relationship between the level of pollution and the level of income. Customarily, in the diagram of EKC the level of income is shown on the horizontal axis and that of pollution on the vertical axis. Thus, it is presumed that the relationship between income and pollution is one of unidirectional causality with income causing environmental changes and not vice versa. The validity of this presumption is now being questioned. It is being asserted that the nature and direction of causality may vary from one country to the other. In this paper, we present the results of a study of income–CO₂ emission causality based on a Granger causality test to cross-country panel data on per capita income and the corresponding per capita CO₂ emission data. Briefly, our results indicate three different types of causality relationship holding for different country groups. For the developed country groups of North America and Western Europe (and also for Eastern Europe) the causality is found to run from emission to income. For the country groups of Central and South America, Oceania and Japan causality from income to emission is obtained. Finally, for the country groups of Asia and Africa the causality is found to be bi-directional. The regression equations estimated as part of the Granger causality test further suggest that for the country groups of North America and Western Europe the growth rate of emission has become stationary around a zero mean, and a shock in the growth rate of emission tends to generate a corresponding shock in the growth rate of income. In contrast, for the country groups of Central and South America, Oceania and Japan a shock in the income growth rate is likely to result in a corresponding shock in the growth rate of emission. Finally, causality being bi-directional for the country groups of Asia and Africa, the income and the emission growth rates seemed to reinforce each other.     

Exploiting the Medium Term Biomass Energy Potentials in Austria: A Comparison of Costs and Macroeconomic Impact

The transition to an implicitly solar-basedenergy system can make use of various specificbiomass energy systems. This paper provideseconomic and environmental indicators forevaluating alternative options.The paper proceeds in three empirical steps.First, an expert survey supplies the primarybiomass potentials available for non-food usein Austria and their respective costs. Second,an inquiry into investment, operating andfinancing costs of 30 different biomass energyuse systems allows a standardized comparisonamong them and their relationship to fossilreference technologies. Third, a computablegeneral equilibrium model of the Austrianeconomy is employed to quantify the impacts offostering the use of distinct biomass energytechnologies.The results allow us to distinguish betweenthose technologies that tend to lead to anincrease in both GDP and employment (e.g.,combined heat and power production from sewagesludge biogas), to an increase only inemployment, while GDP tends to diminish (e.g.,district heating based on agricultural pellets)or to a decline in both (e.g., co-firing basedon wood-chips, bark or industrial pellets).Individual technologies could account for up toone third of Austrias Kyoto obligation, whilecombinations of technologies, triggered by acombined CO₂ tax and biomass energysubsidy for example, could almost fully lead toAustrian Kyoto-compliance.     

Renewable energy drivers: a panel cointegration approach

The expected gains from RES deployment to the reduction of carbon dioxide emissions (CO₂) and the cut-off of external dependence of electricity sources could be important. However, it is crucial to understand the determinants of RES growth to help policymakers drawing effective energy polices, involving a commitment of both citizens and governments. In this paper, we use novel panel econometric tools (taking into account structural breaks and cross-section dependence) and find evidence of nonstationary issues and cointegration issues between renewable energy production and its drivers (CO₂ emissions, GDP per capita, energy use and dependency). The results thus reveal that non-stationary issues should be attended, otherwise they could be biased. Using suitable estimators (DOLS, FMOLS) with two different data sets and different proxies and taking common factors into account by MG estimates, we find that there is no environmental concerns effect explaining the growth of renewables in European countries. However, national revenues, energy consumption (demand effect) and energy dependency have a positive impact on renewables deployment. Considering these results, economic assistance (subsidies) might be a mean to increase further the renewables deployment in EU countries and education about renewables deployment is needed.     

A robust analysis of the relationship between renewable energy consumption and its main drivers

We provide a comprehensive and robust analysis of the drivers of renewable energy consumption for a panel of 64 countries, using both the static (Pooled OLS, Panel Fixed and Random Effects) and dynamic (difference and system GMM) panel data estimation approaches. We show that the dynamic panel data model provides more efficient estimators than the static ones and that increases in per capita CO₂ emissions and per capita trade with foreign partners mainly drive the changes in per capita renewable energy consumption. We also find limited evidence of oil price effects on renewable energy consumption, which reflects the fact that renewable energy is just a complement and not a perfect substitute of crude oil, at least in the short run.     

The control of CO2 emissions and its economic impact: An AGE model for a german state

Since it is believed that CO₂ is responsible for 55% of the greenhouse effect, a CO₂ levy is now under consideration in several countries. For an assessment of the macroeconomic implications of an integrated energy and environmental policy we employ an applied general equilibrium model (AGE) since all sectors of an economy and all private households contribute to CO₂ emission. Our model is a temporary equilibrium model with capacity extension under adjustment costs and with abatement activities for SO₂ and NO_x emissions.The model of consumer behavior will result in a system of consumer demand functions for non-durables as well as for durable goods. The simulations show the cost of inefficiency in resource allocation if CO₂ taxes differ between industries and households. We finally present the marginal cost curve of CO₂ emission reduction.     

CO2 and Energy Efficiency of Different Heating Technologies in the Dutch Glasshouse Industry

This paper uses Data Envelopment Analysis tocompute input-based technical efficiencymeasures and CO₂ and energy technicalefficiency of specialised vegetable firms inthe Netherlands over the period 1991–1995. Input-based scale efficiency is also calculatedfor each firm. These efficiency measures aregenerated for firms with different heatingtechnologies. The empirical results indicatethat firms use energy quite efficiently and areless efficient in terms of CO₂ emissions. Differences in CO₂ (energy) efficiencyacross different technologies are (not)statistically significant. In particular,firms using traditional heating technologiesare less efficient in terms of CO₂. Scaleadjustments can provide an importantcontribution to further efficiencyimprovements.     

Decomposition of energy-related CO2 emission over 1991-2006 in China

This paper presents a decomposition analysis of energy-related CO₂ emission in China for the period 1991-2006 divided into three equal time intervals. The complete decomposition method developed by Sun is used to analyze the nature of the four factors: CO₂ intensity, energy intensity, structural changes and economic activity. The results show that economic activity has the largest positive effect in CO₂ emission changes in all the major economic sectors and China has achieved a considerable decrease in CO₂ emission mainly due to the improved energy intensity. However, the impact of CO₂ intensity and structural changes is relatively small. Structural changes only exhibit positive effect to the CO₂ mitigation in agricultural sector, and CO₂ intensity also contributes to the decrease of CO₂ emission in transportation sector. Moreover, a formula about CO₂ mitigation is presented in this paper, which shows that China has made a significant contribution to reducing global CO₂ emission.     

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.     

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.     

The relationship between temperature and CO2 emissions: evidence from a short and very long dataset

The debate regarding rising temperatures and CO₂ emissions has attracted the attention of economists employing recent econometric techniques. This article extends the previous literature using a dataset that covers 800?000 years, as well as a shorter dataset, and examines the interaction between temperature and CO₂ emissions. Unit root tests reveal a difference between the two datasets. For the long dataset, all tests support the view that both temperature and CO₂ are stationary around a constant. For the short dataset, temperature exhibits trend-stationary behaviour, while CO₂ contains a unit root. This result is robust to nonlinear trends or trend breaks. Modelling the long dataset reveals that while contemporaneous CO₂ appears positive and significant in the temperature equation, including lags results in a joint effect that is near zero. This result is confirmed using a different lag structure and Vector Autoregressive (VAR) model. A Generalized Method of Moments (GMM) approach to account for endogeneity suggests an insignificant relationship. In sum, the key result from our analysis is that CO₂ has, at best, a weak relationship with temperature, while there is no evidence of trending when using a sufficiently long dataset. Thus, as a secondary result we highlight the danger of using a small sample in this context.     

中国能源、环境、工业化与经济增长关系的实证分析

本文利用计量经济理论,建立了向量误差修正模型,对我国经济增长、工业化水平、能源和环境之间的关系进行了协整检验、格兰杰因果关系检验。得到以下结论:第一,能源、环境、工业化和经济增长之间具有长期均衡关系;第二,经济增长和工业化水平是造成能源消费和环境问题的格兰杰原因,经济增长和工业化水平间相互影响;第三,短期内经济增长和工业化水平是影响能源消费、环境问题的主要因素。     

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.     

中国经济发展与能源消费、环境关系的实证分析

采用1985～2007年中国能源消费、环境与经济增长的时间序列数据,利用单位根检验、协整分析、误差修正模型和格兰杰因果关系检验方法,对中国经济增长和能源消费、环境之间的关系进行了实证分析。研究结果表明:中国的能源消费、煤炭消费、石油消费、电力消费、工业固体废物产生量均与经济增长之间存在一种长期均衡关系。格兰杰因果关系分析发现,经济增长与能源消费之间存在双向因果关系,经济增长与煤炭消费、电力消费之间只存在单向因果关系,经济增长与石油消费、工业固体废物产生量之间不存在因果关系。     

OTC trades and liquidity in the European carbon market more than meets the eye

ABSTRACT

This study investigates whether the previously reported price impact of OTC trades in the EU ETS can be attributed to their distinctively larger size (liquidity related) or to their discretionary feature (information related). The findings suggest that OTC trades induce volatility shocks that are higher in magnitude and faster resolved than those of solely high trading-intensity trades, which appears to be driven mainly by their presence, rather than by their size. An analysis of intraday price premia reveals that they are strategically placed by interacting with the organized market whenever their price and volatility impact is lower.     

The impact of population on CO<Subscript>2</Subscript> emissions: evidence from European countries

This paper analyses the impact of population growth on CO₂ emissions in European Union countries. Traditionally, researchers have assumed a unitary elasticity of emissions with respect to population growth. In this study population is treated as a predictor in the model, instead of being included as part of the dependent variable (per capita emissions), thus relaxing the above-mentioned assumption of unitary elasticity. We also contribute to the existing literature by taking into account the presence of heterogeneity in the sample and considering a dynamic specification. The sample covers the period 1975–1999 for the current European Union members. Our results show that the impact of population growth on emissions is more than proportional for recent accession countries whereas for old EU members, the elasticity is lower than unity and non significant when the properties of the time series and the dynamics are correctly specified. The different impact of population change on CO₂ emissions for the current EU members should therefore be taken into account in future discussions of climate change policies within the EU.      

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.     

Time-varying correlations in oil,gas and CO2 prices: an application using BEKK,CCC and DCC-MGARCH models

Previous literature has identified oil and gas prices as being the main drivers of CO₂ prices in a univariate Generalized Autoregressive Conditional Heteroscedasticity (GARCH) econometric framework (Alberola et al., 2008; Oberndorfer, 2009). By contrast, we argue in this article that the interrelationships between energy and emissions markets shall be modelled in a Vector Autoregressive (VAR) and Multivariate GARCH (MGARCH) framework, so as to reflect the dynamics of the correlations between the oil, gas and CO₂ variables overtime. Using the Baba–Engle–Kraft–Kroner (BEKK), Constant Conditional Correlation (CCC) and Dynamic Conditional Correlation MGARCH (DCC-MGARCH) models on daily data from April 2005 to December 2008, we highlight significant own-volatility, cross-volatility spillovers, and own persistent volatility effects for nearly all markets, indicating the presence of strong Autoregressive Conditional Heteroscedasticity (ARCH) and GARCH effects. Besides, we provide strong empirical evidence of time-varying correlations in the range of [?0.3;?0.3] between oil and gas, [?0.05;?0.05] between oil and CO₂, and [?0.2;?0.2] between gas and CO₂, that have not been considered by previous studies. These findings are of interest for traders and utilities in the energy sector, but also for a broader applied economics audience.     

Localized innovation, localized diffusion and the environment: an analysis of reductions of CO2 emissions by passenger cars

We investigate technological change with regard to CO₂ emissions by passenger cars, using a Free Disposal Hull methodology to estimate technological frontiers. We have a sample of cars available in the UK market in the period 2000–2007. Our results show that the rates of technological change (frontier movement) and diffusion (distance to frontier at the car brand level) differ substantially between segments of the car market. We conclude that successful policies should be aimed at the diffusion of best-practice technology, and take account of the different potential for further progress between different segments of the market (e.g. diesel vs. gasoline engines and small vs. large engines).