The relationship between CO2 emissions,energy consumption and economic growth in Italy

This study examines the relationship between CO₂ emissions, energy consumption and economic growth in Italy over the period 1970–2006. Results of unit root tests show that all variables are non-stationary in their level form, but stationary in first differences form. The causal relationship between variables is examined using causality test in a vector autoregressive framework. Our empirical results show that CO₂ emissions, energy consumption and economic growth are not cointegrated. Moreover, the Toda and Yamamoto Granger non-causality test shows a bidirectional causality between CO₂ emissions and economic growth, as well as between CO₂ emissions and energy consumption. Forecast error variance decompositions evidence that the errors in real per capita GDP are mainly due to uncertainty in GDP itself, while the errors in predicting the energy consumption and the CO₂ emissions are sensitive to disturbances in the other two equations.     

How does the new-type urbanisation affect CO2 emissions in China? An empirical analysis from the perspective of technological progress

The development of traditional urbanisation has generated environmental problems, so the Chinese Government has proposed a new-type of urbanisation path with uniquely Chinese characteristics. How does this new-type of urbanisation affect CO₂ emissions? Based on panel data from 29 provinces in China (2005 to 2016), we apply an exploratory spatial data analysis model, a spatial econometric model, and a threshold model to analyse the spatial autocorrelation of CO₂ emissions, the direct and indirect effects of new-type urbanisation on CO₂ emissions, and the threshold characteristics produced by technological progress, respectively. The key results are: (1) CO₂ emissions show significant positive autocorrelation in China, and the spatial distribution of CO₂ emissions is HH (High-High) or LL (Low-Low) clustered in most provinces; (2) new-type urbanisation has a paradoxical effect on CO₂ emissions. Energy-saving technology has a rebound effect on CO₂ emissions, but environmental technology inhibits CO₂ emissions; (3) by eliminating the rebound effect of energy-saving technology on CO₂ emissions and promoting environmental technology, new-type urbanisation indirectly inhibits CO₂ emissions; (4) new-type urbanisation exhibits a threshold effect on CO₂ emissions due to the different levels of energy-saving technology and environmental technology. Finally, policy recommendations for CO₂ emissions reduction are proposed from the perspective of new-type urbanisation, energy-saving technology, and environmental technology.     

Determinants of carbon dioxide emissions: Empirical evidence from 69 countries

This study investigates the determinants of carbon dioxide emissions (CO₂) for a global panel consisting of 69 countries using a dynamic panel data model. To make the panel data analysis more homogenous, we also investigate the determinants of CO₂ emissions for a number of sub-panels. These sub-panels are constructed based on the income level of countries. In this way, we end up with three income panels; namely, high income, middle income, and low income panels. The time component of our dataset is 1985–2005 inclusive. Our main findings are that trade openness, per capita GDP, and energy consumption, proxied by per capita electric power consumption and per capita total primary energy consumption, have positive effects on CO₂ emissions. Urbanisation is found to have a negative impact on CO₂ emissions in high income, middle income, and low income panels. For the global panel, only GDP per capita and per capita total primary energy consumption are found to be statistically significant determinants of CO₂ emission, while urbanisation, trade openness, and per capita electric power consumption have negative effects on the CO₂ emissions.     

CO2 emissions,energy consumption and economic growth in China: A panel data analysis

This paper examines the causal relationships between carbon dioxide emissions, energy consumption and real economic output using panel cointegration and panel vector error correction modeling techniques based on the panel data for 28 provinces in China over the period 1995–2007. Our empirical results show that CO₂ emissions, energy consumption and economic growth have appeared to be cointegrated. Moreover, there exists bidirectional causality between CO₂ emissions and energy consumption, and also between energy consumption and economic growth. It has also been found that energy consumption and economic growth are the long-run causes for CO₂ emissions and CO₂ emissions and economic growth are the long-run causes for energy consumption. The results indicate that China's CO₂ emissions will not decrease in a long period of time and reducing CO₂ emissions may handicap China's economic growth to some degree. Some policy implications of the empirical results have finally been proposed.     

The impact of household consumption on energy use and CO2 emissions in China

In this paper, the consumer lifestyle approach is applied to analyze the impact of consumption by urban and rural households on energy use and CO₂ emissions for different regions and income levels in China. Grey Model is used to compare the relationship between energy consumption, consumption expenditure and CO₂ emissions for different lifestyles. The results show that direct energy consumption is diverse for urban households and simple for rural households in China. Direct energy consumption and CO₂ emissions are increasing faster for urban than for rural households. Indirect energy consumption and CO₂ emissions for urban households are much greater than the direct consumption values. The total indirect energy consumption and CO₂ emissions differ by regions and the structures are different, but the latter differences are not obvious. The impact of household income is enormous. Indirect energy consumption and CO₂ emissions are higher for high-income than for low-income households. The structural difference for indirect energy consumption and CO₂ emissions for households with different income levels is significant. The higher the income, the more diverse is the energy consumption and CO₂ emission structure. The structures for indirect energy use and CO₂ emissions are diverse for urban households, but simple for rural households.     

Carbon emissions by rural energy in China

Carbon emissions due to rural energy consumption in China have not yet been sufficiently addressed or quantified. In this work systematic accounting with a life cycle perspective was used to estimate both the direct CO₂ emissions from fuel combustion and the indirect emissions from the production and provision of rural energy carriers. The results indicate that the total direct CO₂ emissions resulting from rural energy consumption have nearly tripled, from 0.79 billion metric tons (hereafter ton) in 1979 to 1.98 billion tons in 2008, whilst indirect emissions have nearly quadrupled, from 0.27 billion tons to 0.85 billion tons for the same period. This finding quantitatively illustrates the importance of rural energy consumption as a contributor to China's overall carbon emission. In addition, the analysis of per capita emission from rural energy revealed significant regional disparities and similarities in emission and energy sources used. Both total and per capita CO₂ are significantly higher in the North China, which is largely due to the colder climate and the relatively high economic development levels for multi-demands of energy utilisation. The analysis and results presented here provide substantial information for policy makers in relation to energy and emission targets in China.     

Energy consumption,CO2 emissions,and development in the UAE

This study investigated the impact of energy consumption and CO₂ emissions on the United Arab Emirates (UAE)’s economic and financial development. The vector autoregressive (VAR) model was applied. The results obtained in the study show that energy consumption and CO₂ emissions had a long-run relationship with the economic and financial development indicators in the UAE. It was also found that there was a significant causal relationship between energy consumption and CO₂ emissions on both economic and financial development indicator variables. The UAE is well known for its high economic and financial development owing to the fact that this country has achieved a fast economic growth in the last three decades. However, it is important that this country needs to increase its consumption of green energy to reduce CO₂ emissions.     

Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis

There exist many differences between urban and rural China among which residential CO₂ emissions arising from energy consumption is a major one. In this paper, we estimate and compare the energy related CO₂ emissions from urban and rural residential energy consumption from 1991 to 2004. The logarithmic mean Divisia index decomposition analysis is then applied to investigate the factors that may affect the changes of the CO₂ emissions. It is found that energy intensity and the income effects, respectively, contributed most to the decline and the increase of residential CO₂ emissions for both urban and rural China. In urban China, the population effect was found to contribute to the increase of residential CO₂ emissions with a rising tendency. However, in rural China, the population effect for residential CO₂ emissions kept decreasing since 1998.     

The dynamic impact of renewable energy consumption and financial development on CO2 emissions: For selected African countries

This empirical study examines the impact of economic growth, renewable energy, energy consumption, financial developments, trade openness, and urbanization growth on CO₂ emissions using the Pooled Mean Group (PMG) approach and Granger Causality in the EKC model a data set of 25 African countries over the period 1985–2015. The results showed that increases in renewable energy consumption and trade openness decrease CO₂ emissions, and the EKC hypothesis is supported for the African countries. Granger’s causality results indicated the presence of bidirectional causality between economic growth and financial development and CO₂ emissions. These results could support policymakers manage financial development and consider clean investments and other ecological aspects for sustainable urban development. The causality tests showed a unidirectional causality running from renewable energy consumption to CO₂ emissions in African countries.     

Economic growth,energy consumption and CO2 emissions in India: a disaggregated causal analysis

This study examines the long-run and short-run causal relationships among energy consumption, real gross domestic product (GDP) and CO₂ emissions using aggregate and disaggregate (sectoral) energy consumption measures utilising annual data from 1971 to 2011. The autoregressive distributed lag bounds test reveals that there is a long-run relationship among the variables concerned at both aggregate and disaggregate levels. The Toda–Yamamoto causality tests, however, reveal that the long-run as well short-run causal relationship among the variables is not uniform across sectors. The weight of evidences of the study indicates that there is short-run causality from electricity consumption to economic growth, and to CO₂ emissions. The results suggest that India should take appropriate cautious steps to sustain high growth rate and at the same time to control emissions of CO₂. Further, energy and environmental policies should acknowledge the sectoral differences in the relationship between energy consumption and real gross domestic product.     

The rebound effect,gender and social justice: A case study in Germany

Energy efficiency increases are essential in reducing energy consumption and CO₂ emissions. Policy is therefore rightly concerned about rebound effects, which cause energy and CO₂ emission reductions to be less than anticipated. A policy dilemma is emerging in that less economically privileged groups tend to show the highest rebound effects. Some studies suggest policymakers may therefore be reluctant to support energy efficiency upgrades among such groups. This paper argues this is based on a misunderstanding of the conceptual structure of the rebound effect. Firstly, a mathematical analysis confirms that the rebound effect is merely a comparison of proportions, not a measure of absolute levels of energy consumption, which are the real cause of increased CO₂ emissions. Secondly, an empirical study of commute distances in North-Rhine-Westphalia, Germany’s largest state, reveals that female commuters show considerably higher rebound effects than male commuters, both in time and cross-sectional analyses. However, male commuters consume the most energy and produce the most CO₂ emissions, by every measure. This resonates with recent studies showing the same disjunction between rebound effects and absolute consumption, in home heating among poorer and wealthier households. Policy needs to focus on absolute consumption levels and be cautious in interpreting rebound effects.     

Energy flow and greenhouse gas emissions in organic and conventional sweet cherry orchards located in or close to Natura 2000 sites

An energy analysis in orchards is useful to deciding best management strategies. The objective of this study was to evaluate, by selecting organic and conventional sweet cherry orchards located in/or close to Natura 2000 sites (a) the energy flow between the two farming systems and (b) the effect of farming system to gas emissions (CO₂, CH₄ and N₂O). Twenty farms [(2-conventional and 2-organic) × 5-locations] were selected during 2003-2004. Means averaged over all locations for insecticides and fungicides application, fuel, insecticides, fungicides, non-renewable energy inputs, energy shoot outputs, energy fruit outputs, energy shoot + fruit outputs, fruit production, shoot efficiency, fruit efficiency, shoot + fruit efficiency, non-renewable energy efficiency, gas emissions were higher in conventional than in organic orchards, while fertilizer application, harvesting, fertilizers, labor, total energy inputs, renewable energy inputs, intensity and non-renewable energy consumption were higher in organic orchards. Means averaged over two farming systems for fertilizer, insecticide and fungicide application were higher in GRL2 and GRL5. The means averaged over two systems for transportation had the highest value in GRL4 and the lowest in GRL5. Finally, means averaged over two farming systems for labor had the highest value in GRL2. Non-renewable energy inputs as percent of total inputs were 82.63 and 52.42% in conventional and organic sweet cherry orchards respectively. The results show that organic farming systems could reduce non-renewable energy inputs and gas emissions in an efficient way in areas related to Natura 2000 sites.     

Environment Kuznets curve for CO2 emissions: A cointegration analysis for China

This study examines the long-run relationship between carbon emissions and energy consumption, income and foreign trade in the case of China by employing time series data of 1975–2005. In particular the study aims at testing whether environmental Kuznets curve (EKC) relationship between CO₂ emissions and per capita real GDP holds in the long run or not. Auto regressive distributed lag (ARDL) methodology is employed for empirical analysis. A quadratic relationship between income and CO₂ emission has been found for the sample period, supporting EKC relationship. The results of Granger causality tests indicate one way causality runs through economic growth to CO₂ emissions. The results of this study also indicate that the carbon emissions are mainly determined by income and energy consumption in the long run. Trade has a positive but statistically insignificant impact on CO₂ emissions.     

Can envelope codes reduce electricity and CO2 emissions in different types of buildings in the hot climate of Bahrain?

The depletion of non-renewable resources and the environmental impact of energy consumption, particularly energy use in buildings, have awakened considerable interest in energy efficiency. Building energy codes have recently become effective techniques to achieve efficiency targets. The Electricity and Water Authority in Bahrain has set a target of 40% reduction of building electricity consumption and CO₂ emissions to be achieved by using envelope thermal insulation codes. This paper investigates the ability of the current codes to achieve such a benchmark and evaluates their impact on building energy consumption. The results of a simulation study are employed to investigate the impact of the Bahraini codes on the energy and environmental performance of buildings. The study focuses on air-conditioned commercial buildings and concludes that envelope codes, at best, are likely to reduce the energy use of the commercial sector by 25% if the building envelope is well-insulated and efficient glazing is used. Bahraini net CO₂ emissions could drop to around 7.1%. The simulation results show that the current energy codes alone are not sufficient to achieve a 40% reduction benchmark, and therefore, more effort should be spent on moving towards a more comprehensive approach.     

Optimization of the design of polygeneration systems for the residential sector under different self-consumption regulations

Polygeneration systems enable natural resources to be exploited efficiently, decreasing CO₂ emissions and achieving economic savings relative to the conventional separate production. However, their economic feasibility depends on the legal framework. Preliminary design of polygeneration systems for the residential sector based on the last Spanish self-consumption regulations RD 900/2015 and RD 244/2019 was carried out in Zaragoza, Spain. Both regulations were applied to individual and collective installations. Several technologies, appropriate for the energy supply to residential buildings, for example, photovoltaics, wind turbines, solar thermal collectors, microcogeneration engines, heat pump, gas boiler, absorption chiller, and thermal and electric energy storage were considered candidate technologies for the polygeneration system. A mixed integer linear programming model was developed to minimize the total annual cost of polygeneration systems. Scenarios with and without electricity sale were considered. CO₂ emissions were also calculated to estimate the environmental impact. Results show that RD 900/2015 discourages the investment in self-consumption systems whereas the RD 244/2019 encourages them, especially in renewable energy technologies. Moreover, in economic terms, it is more profitable to invest in collective self-consumption installations over individual installations. However, this does not necessarily represent a significant reduction of CO₂ emissions with respect to individual installations since the natural gas consumption tends to increase as its unit price decreases because of the increase of its consumption level. Thus, more appropriate pricing of natural gas in residential sector, in which its cost would not be reduced when increasing its consumption, would be required to achieve significant CO₂ emissions reduction. In all cases, the photovoltaic panels (PV) are competitive and profitable without subsidies in self-consumption schemes and the reversible heat pump (HP) played an important role for the CO₂ emissions reduction. In a horizon to achieve zero CO₂ emissions, the net metering scheme could be an interesting and profitable alternative to be considered.     

Economic growth,energy conservation and emissions reduction: A comparative analysis based on panel data for 8 Asian-Pacific countries

This study was conducted to evaluate the causality between energy consumption, GDP growth and carbon emissions for eight Asia-Pacific countries from 1971 to 2005 using the panel data. The results indicate that there are long-run equilibrium relationships between these variables. Additionally, causality from energy consumption to CO₂ emissions was observed generally, but there were some opposite relationships also. Parameter estimations of the panel data model indicate that there are great differences in the carbon emissions, the efficiencies of energy use, carbon emissions of unit GDP and unit energy consumption between developed and developing countries. The base carbon emissions, per capita energy consumption and efficiency of energy use in developing countries are far lower than in developed countries; however, the CO₂ emissions per unit of energy use is higher. Although developing countries may reduce their CO₂ emission per unit energy use, total energy consumption will rise rapidly with economic development. Thus, developing countries must determine how to undergo economic growth while conserving energy and reducing emissions. To respond to global climate change, it is necessary to develop innovative technology for energy use, transform the energy structure and conduct the clean development mechanism.     

The renewable energy,CO2 emissions,and economic growth: VAR model

This paper provides an empirical analysis of CO₂ emissions and economic growth, renewable energy consumption, and energy consumption over the period 1975–2014 in Germany. This paper uses the autoregressive distributed lag (ARDL) approach of cointegration test and vector error-correction models. The unit root and cointegration tests show that the long-run relationship between CO₂ emissions and its determinants. The empirical results show that the findings do not support the environmental Kuznets curve between real GDP and CO₂ emissions. To estimate the shocks of renewable energy consumptions, the study applies the dynamic test of Impulse Response Function (IRF) under the VAR method. The increasing portion of renewable energy consumption in electricity generation would have no impacts on the environment. However, the hikes of renewable energy sources would incur more cost to electricity producers and shrivel up the growth of economies through the expansionary effect of industry’s consumption and private capital spending in the Germany’s economy.     

CO2 emissions,energy consumption and economic growth nexus in MENA countries: Evidence from simultaneous equations models

This paper examines the nexus between CO₂ emissions, energy consumption and economic growth using simultaneous-equations models with panel data of 14 MENA countries over the period 1990–2011. Our empirical results show that there exists a bidirectional causal relationship between energy consumption and economic growth. However, the results support the occurrence of unidirectional causality from energy consumption to CO₂ emissions without any feedback effects, and there exists a bidirectional causal relationship between economic growth and CO₂ emissions for the region as a whole. The study suggests that environmental and energy policies should recognize the differences in the nexus between energy consumption and economic growth in order to maintain sustainable economic growth in the MENA region.     

Dynamic relationship between CO2 emissions,energy consumption and economic growth in three North African countries

This paper investigated the causal relationship between energy consumption (EC), carbon dioxide (CO₂) emissions and economic growth for three selected North African countries. It uses a panel co-integration analysis to determine this econometric relationship using data during 1980–2012. Recently developed tests for panel unit root and co-integration tests are applied. In order to test the Granger causality, a panel Vector Error Correction Model is used. The conservation hypothesis is found; the short run panel results show that there is a unidirectional relationship from economic growth to EC. In addition, there is a unidirectional causality running from economic growth to CO₂ emissions. A unidirectional relationship from EC to CO₂ emissions is detected. Findings shown that there is a big interdependence between EC and economic growth in the long run, which indicates the level of economic activity and EC mutually influence each other in that a high level of economic growth leads to a high level of EC and vice versa. Similarly, a unidirectional causal relationship from EC to CO₂ emissions is detected. This study opens up new insights for policy-makers to design comprehensive economic, energy and environmental policy to keep the economic green and a sustainable environment, implying that these three variables could play an important role in the adjustment process as the system changes from the long run equilibrium.     

Improving energy consumption structure: A comprehensive assessment of fossil energy subsidies reform in China

Fossil energy subsidies reform would be an effective way to improve the energy consumption structure; however, the reform needs to be assessed comprehensively beforehand as it would exert uncertain impacts on economy, society and environment. In this paper, we use price-gap approach to estimate the fossil energy subsidies of China, then establish CGE model that contains pollutant emissions accounts and CO₂ emissions account to stimulate the fossil energy subsidies reform under different scenarios, and the environmental economic analysis concept is introduced to monetize the pollutant reduction benefits. Furthermore, we analyze the possibility and scope of improving the energy consumption structure from the perspective of technical and economic analysis. Analytical results show that the energy consumption structure could be improved by different extent by removing coal or oil subsidies, while the economic and social indexes will be influenced distinctively. Meanwhile, the effects of cutting coal subsidies are more feasible than that of cutting oil subsidies overall. It is recommended to implement fossil energy subsidies gradually, cut the coal first and then cut oil subsidies successively.