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This paper aims at characterizing the conditions of wind power deployment in order to infer a carbon price level that would provide wind power with comparable advantage over fossil fuel technologies as effective wind support policies. The analysis is conducted on Danish data from 2000 to 2010, i.e. after market liberalization took place in 2000. Probit technique is used to analyze the connection of new turbines to the grid each month and tobit analysis is employed on the additional capacity installed monthly. I find that the level and type of the support policy are the dominant drivers of deployment. Electricity price impact is not visible. The investment cost impact is not significant either, but the effect of the interest rate, although not visible in the probit analysis, is significant in the tobit analysis. The number of turbines already installed, that is taken as a proxy for the sites availability, does not have any significant effect either. A feed-in tariff significantly brings more wind power in than a premium policy. The fact that the support policy is a feed-in tariff rather than a premium increases the additional capacity installed monthly by up to several tens MW. The additional capacity installed monthly increases by up to thousand kW for each additional e/MWh of support. If the policy is a premium, I find that 24 e/MWh of support in addition to electricity price is needed to observe the connection of new turbines to the grid with a 0.5 probability. I convert this support level into a carbon price of 28 e/ton if wind power competes with coal, and 50 e/t if it competes with gas.

This paper aims at characterizing the conditions of wind power deployment in order to infer a carbon price level that would provide wind power with comparable advantage over fossil fuel technologies as effective wind support policies. The analysis is conducted on Danish data from 2000 to 2010, i.e. after market liberalization took place in 2000. Probit technique is used to analyze the connection of new turbines to the grid each month and tobit analysis is employed on the additional capacity installed monthly. I find that the level and type of the support policy are the dominant drivers of deployment. Electricity price impact is not visible. The investment cost impact is not significant either, but the effect of the interest rate, although not visible in the probit analysis, is significant in the tobit analysis. The number of turbines already installed, that is taken as a proxy for the sites availability, does not have any significant effect either. A feed-in tariff significantly brings more wind power in than a premium policy. The fact that the support policy is a feed-in tariff rather than a premium increases the additional capacity installed monthly by up to several tens MW. The additional capacity installed monthly increases by up to thousand kW for each additional e/MWh of support. If the policy is a premium, I find that 24 e/MWh of support in addition to electricity price is needed to observe the connection of new turbines to the grid with a 0.5 probability. I convert this support level into a carbon price of 28 e/ton if wind power competes with coal, and 50 e/t if it competes with gas.

This study adopts a life cycle approach to analyse the principal critical elements, opportunities and limits of biogas production's socio-economic aspects and environmental implications. From this perspective, the biogas supply chain sustainability and the opportunity for a closed-loop approach have been assessed starting from existing studies. The analysis revealed that the biogas sector could play a strategic role in making energy systems more resilient in a context characterised by sudden changes, such as the current scenario. In particular, the research is focused on this sector's potential to support the energy transition in Italy, which presents a structural vulnerability related to fossil resource scarcity. The paper contributes to the literature on the sustainable assessment of the biogas supply chain and paves the way for future researchers to understand the complex issues involved in the biogas sector sustainable development process. Furthermore, it provides policy, managerial and social implications, showing that the complete diffusion of biogas - a renewable, scalable and flexible resource - can foster security and decarbonisation of the energy system. It can also create new business opportunities at the local level, promoting a circular and bio-based economy.

This study adopts a life cycle approach to analyse the principal critical elements, opportunities and limits of biogas production's socio-economic aspects and environmental implications. From this perspective, the biogas supply chain sustainability and the opportunity for a closed-loop approach have been assessed starting from existing studies. The analysis revealed that the biogas sector could play a strategic role in making energy systems more resilient in a context characterised by sudden changes, such as the current scenario. In particular, the research is focused on this sector's potential to support the energy transition in Italy, which presents a structural vulnerability related to fossil resource scarcity. The paper contributes to the literature on the sustainable assessment of the biogas supply chain and paves the way for future researchers to understand the complex issues involved in the biogas sector sustainable development process. Furthermore, it provides policy, managerial and social implications, showing that the complete diffusion of biogas - a renewable, scalable and flexible resource - can foster security and decarbonisation of the energy system. It can also create new business opportunities at the local level, promoting a circular and bio-based economy.

Abstract Among natural gas producing nations, there has been some concern about how the Asia Pacific will meet future demand for energy. We argue that natural gas, both regional and global, will play a vital role. Estimates of potential gas consumption in the region are analyzed and used to develop consensus projections to 2030. These consumption profiles are compared with gas supply estimates including indigenous, pipeline and LNG for the Asia Pacific market. From this analytical framework, we find that demand will be sufficiently large to accommodate supplies from diverse sources including North America, the Middle East, Central Asia, Russia, and the Asia Pacific itself. An important policy implication is that gas producing and consuming nations should benefit from promoting gas trade and not be concerned about a situation of potential lack of demand coupled with oversupply.

Abstract Among natural gas producing nations, there has been some concern about how the Asia Pacific will meet future demand for energy. We argue that natural gas, both regional and global, will play a vital role. Estimates of potential gas consumption in the region are analyzed and used to develop consensus projections to 2030. These consumption profiles are compared with gas supply estimates including indigenous, pipeline and LNG for the Asia Pacific market. From this analytical framework, we find that demand will be sufficiently large to accommodate supplies from diverse sources including North America, the Middle East, Central Asia, Russia, and the Asia Pacific itself. An important policy implication is that gas producing and consuming nations should benefit from promoting gas trade and not be concerned about a situation of potential lack of demand coupled with oversupply.

The Chinese households that make up approximately a quarter of world households are facing a residential power tariff reform in which a rising block tariff structure will be implemented, and this tariff mechanism is widely used around the world. The basic principle of the structure is to assign a higher price for higher income consumers with low price elasticity of power demand. To capture the non-linear effects of price and income on elasticities, we set up a translog demand model. The empirical findings indicate that the higher income consumers are less sensitive than those with lower income to price changes. We further put forward three proposals of Chinese residential electricity tariffs. Compared to a flat tariff, the reasonable block tariff structure generates more efficient allocation of cross-subsidies, better incentives for raising the efficiency of electricity usage and reducing emissions from power generation, which also supports the living standards of low income households.

The Chinese households that make up approximately a quarter of world households are facing a residential power tariff reform in which a rising block tariff structure will be implemented, and this tariff mechanism is widely used around the world. The basic principle of the structure is to assign a higher price for higher income consumers with low price elasticity of power demand. To capture the non-linear effects of price and income on elasticities, we set up a translog demand model. The empirical findings indicate that the higher income consumers are less sensitive than those with lower income to price changes. We further put forward three proposals of Chinese residential electricity tariffs. Compared to a flat tariff, the reasonable block tariff structure generates more efficient allocation of cross-subsidies, better incentives for raising the efficiency of electricity usage and reducing emissions from power generation, which also supports the living standards of low income households.