Is China’s Manufacturing Industry Efficient? Evidence from an Energy-Rebound Effect Perspective

Majority of the increase in global energy consumption is from China; hence, studying energy issues, especially in China’s manufacturing industry (CMI), is worthwhile and of much interest in the academic field. Based on the translog cost function, we develop a research framework to study the rebound effect of CMI. Considering the effect of asymmetric energy price, we augment the energy-cost function with asymmetric influence constraint of energy price. Again, we add time series data of CMI’s capital, labor, energy, and mid-input to the model to calculate the direct rebound effect of CMI. We find that the rebound effect of CMI is 44.2%, and CMI still has large energy-conservation potentials. Based on the results of this study, some policy recommendations are provided.     

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.     

计及外部性的储能系统价值测算及经济性评估

以应用在电力系统中的电储能系统为研究对象,以外部性理论为基础,构建了计及外部性的储能系统经济性测算模型,并以储能系统接入光伏电站为例,采用贴现现金流分析方法,预估储能投资成本和收益,分别从投资者角度和社会整体效益角度,来研究储能系统应用在可再生能源发电侧的经济性,并进行了盈亏平衡分析。通过盈亏平衡曲线分析了储能盈亏平衡情景,经济性分析结果显示储能系统的外部性收益占年收益比例较大。     

试论可再生能源技术在绿色建筑中的应用

随着我国建筑行业的不断发展,为了迎合节能、环保需求,绿色建筑开始出现。对于绿色建筑来说,要想体现出环保意识,需要在建筑中添加可再生能源,这样不仅符合当前我国绿色发展的理念,还能减少对环境的污染,可以更好地保护环境。论文针对可再生能源技术在绿色建筑中的应用展开分析。     

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.     

‘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.