Regional disparity of embedded carbon footprint and its sources in China: a consumption perspective

Carbon emission reduction could be achieved through extensive cooperation between relevant groups such as businesses, governments and consumers. Generally, carbon emissions stem from consumer behaviour. To tackle the increasingly serious energy crisis and climate change in China, it is thus vital to control carbon emissions generated by the country's urban consumers. From a consumption perspective, we utilize a self-organizing feature map model to analyse the spatial differentiation of per capita embedded carbon footprint (ECF) in urban China. We found that the spatial differentiation is significant with the per capita ECF of the east coastal area at a high level and that per capita disposable income is the key factor affecting ECF. Based on these findings, potential business opportunities to develop low-carbon products are discussed.     

A HPC based cloud model for real-time energy optimisation

Recent research has emphasised that an increasing number of enterprises need computation environments for executing HPC (High Performance Computing) applications. Rather than paying the cost of ownership and possess physical, fixed capacity clusters, enterprises can reserve or rent resources for undertaking the required tasks. With the emergence of new computation paradigms such as cloud computing it has become possible to solve a wider range of problems due to their capability to handle and process massive amounts of data. On the other hand, given the pressing regulatory requirement to reduce the carbon footprint of our built environment, significant researching efforts have been recently directed towards simulation-based building energy optimisation with the overall objective of reducing energy consumption. Energy optimisation in buildings represents a class of problems that requires significant computation resources and generally is a time consuming process especially when undertaken with building simulation software, such as EnergyPlus. In this paper we present how a HPC based cloud model can be efficiently used for running and deploying EnergyPlus simulation-based optimisation in order to fulfil a number of objectives related to energy consumption. We describe and evaluate the establishment of such an application-based environment, and consider a cost perspective to determine the efficiency over several cases we explore. This study identifies the following contributions: (i) a comprehensive examination of issues relevant to the HPC community, including performance, cost, user perspectives and range of user activities, (ii) a comparison of two different execution environments such as HTCondor and CometCloud and determine their effectiveness in supporting simulation-based optimisation and (iii) a detailed performance analysis to locate the limiting factors of these execution environments.     

Adaptive responses to landscape changes from onshore wind energy development in the Republic of Ireland

Covering 26 years of Irish onshore wind energy development, this article tracks patterns in landscape changes from wind farm construction and identifies adaptive responses in public policy and by stakeholder groups. Wind farms face well-documented challenges with social acceptance due to landscape changes; however, little research has examined interactions between landscape change and social adaptations over the long-term. This article systematically reviews 20 policy documents, undertakes spatio-temporal linear modeling of 212 wind farms using 9 landscape change metrics, and analyzes 5 stakeholder group interviews on adaptive responses to landscape changes. Upward trends occur in turbine height, impact accumulation, placement in agricultural landscapes, construction delays, and new farms built per year. Downward trends occur in the number of turbines per farm, visual disruption of protected areas, and placement in wetlands. Key patterns in stakeholder groups’ adaptations include conflicting interpretations of landscape amenities and evolution, and expanded community outreach, networking, and public participation after exposure to infrastructure. Stakeholders adapt to existing infrastructure separately from adapting strategies to respond to new wind farms. Overall, a mutual relationship emerges wherein landscape changes from wind farms respond to policies and stakeholder activities, while policies and stakeholder groups adapt to the physical realities of landscape change.     

Environmental policies,national culture,and stock price crash risk: Evidence from renewable energy firms

This study investigates the impact of country‐level environmental performance and national culture on the stock price crash risk of renewable energy firms. Employing a large sample of 626 renewable energy firms across 31 countries, we find a significant nonlinear relationship between country‐level environmental performance and crash risk. National culture dimensions are found to strongly predict the crash risk of renewable energy firms, particularly after the global financial crisis. On the contrary, national culture dimensions and environmental policies are observed to not exert any significance in explaining the crash risk of fossil fuel firms. Our results are robust with respect to alternative measures of stock price crash risk and the endogeneity of national culture dimensions. Overall, the findings of this paper contribute to the environmental economics literature by providing new evidence regarding the role of societal and environmental factors in explaining the stock price crash risk of energy firms.     

The emergence of convergent price clusters in China

This paper reports new evidence on the existence of both large and small price divergent clusters for China's energy markets, 2000–2009. The largest convergent price clusters suggest that the coal and gasoline markets are well integrated, however, small convergent price clusters suggest that electricity and diesel markets are proving harder to integrate. The paper argues that the traditional approach to price convergence analysis should be applied with caution, especially in a transitional economy such as China where questions to be asked should relate to the ‘degree of market‐orientation’ and not simply whether it is a market‐based economy or not.     

基于主成分分析法对保障房的商业设施配置研究——以武汉市为例

保障房性住房政策极大改善了中低收入阶层住房难问题,其商业设施配置对保障对象生活有重要影响。为了研究武汉市保障性住房商业设施配置,本文选择武汉市五处保障房商业设施,调查了影响保障对象生活的商业设施业种,通过主成分分析法,将保障房商业设施配置中的多类业种综合成为三个主成分。并提出了在保障性住房商业设施规划及管理中的一些建议,这将为保障房公共设施配置提供更具合理性和科学性的决策依据。     

‘We Live on Estimates': Everyday Practices of Prepaid Electricity and the Urban Condition in Maputo,Mozambique

This article examines the transition to prepaid electricity happening in Maputo, Mozambique, in order to reflect on the contemporary geographies of urban energy infrastructure and urbanization in sub‐Saharan Africa and other cities of the South. The article draws on fieldwork and archival research conducted in 2013 and 2014, arguing that prepayment constitutes a productive juncture in the urban experience of electricity infrastructure in Maputo's postcolonial moment, not merely a neutral technology or a disciplining technique of government (as argued by some scholarship). The article examines the multiple rationalities implicated in the use of the electricity infrastructure via prepayment and the organization of urban life it engenders (and of which it is also a product) by focusing on the everyday practices surrounding prepaid electricity of urban dwellers in neighbourhoods where the ‘modern infrastructural ideal' may never be fully realized. As a result, it contributes to an understanding of the experience of urban energy in cities where ‘slum urbanism', uncertainty and provisionality are dominant aspects of the urban condition.     

Value for money in energy efficiency retrofits in Ireland: grant provider and grant recipients

The Sustainable Energy Authority of Ireland (SEAI) administers the Better Energy Homes scheme to provide a financial incentive for home owners to engage in energy efficiency retrofits. This study analyses data from the scheme and Building Energy Rating data for participants to the scheme to examine the value for money achieved by households. In addition, this research identifies which retrofit combinations provide greatest value for money, in terms of energy efficiency gains, for the grant provider. We utilize an error-in-variables approach to model the variation in benefits accruing to households of varying characteristics. We find that household and grant provider surplus can be maximized in the short term by retrofitting less energy efficient and larger homes, timber or steel frame homes and houses rather and apartments. The types of retrofits leading to the greatest surplus for both household and grant provider include cavity wall insulation paired with either a boiler with heating controls or heating controls only retrofit.     

Renewable energy and low-carbon policy spillover effects on natural gas demand

Recent legislation intended to increase the use of renewable energy sources and lower the amount of carbon dioxide emissions from energy has changed the structure of energy markets. The effect of these policies on carbon-intensive fuel sources is rather obvious. For natural gas, though, the effect is not immediately clear. This letter uses a structural model of natural gas demand to uncover whether these policies have led to increased demand because natural gas is a relatively clean source of energy that couples well with renewables or if these policies have crowded out natural gas on net.