Termination fees and bilaterally efficient merger contracts

We present a simple model of exchange in which mutual gains from trade motivate the use of termination fees in merger contracts. The inclusion of a termination fee permits bilaterally efficient merger contracts that make merger consummation more likely and result in higher merger payoffs for both the bidder and the target compared to contracts without termination fees. Introducing risk aversion for either the bidder or the target has negligible effects upon the preferred contracts, revealing that termination fees are not primarily a form of bidder insurance, although they do increase the probability that a merger is consummated. The model provides a rich collection of predictions, all of which are consistent with the empirical regularities reported to date.     

铸魂·健体·赋能·塑形——新时代党的建设伟大工程之结构解析

新时代党的建设伟大工程是新时代党领导的伟大事业及新时代精神的先导和精华。它在理论与实践上展现为一个以政治建设和思想建设铸魂,以组织建设、纪律和制度建设健体,以长期的执政能力建设赋能,以作风建设和反腐倡廉建设塑形的系统工程。不断推进这一系统工程建设,既是永葆党的先进性和人民性的内在要求,也是实现现代化、共圆"中国梦"的根本保证。     

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.     

‘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.     

Creating Opportunities for Women in the Renewable Energy Sector: Findings from India

This paper identifies opportunities and constraints that low-income women face in accessing livelihoods in the renewable-energy sector in India through qualitative and quantitative research conducted in collaboration with The Energy Resources Institute (TERI) and the Self Employed Women's Association (SEWA) in 2012–13. Whereas previous research has focused on women mostly as end users of solar and biomass technologies, this research attempts also to understand women's potential as entrepreneurs, facilitators, designers, and innovators. Findings reveal that although access to technology and employment in the energy sector is limited by inadequate purchasing power and low social status, there is tremendous potential to create livelihoods for women at all levels of the energy supply chain. Broader findings indicate that women can gain optimal traction from employment in the energy sector only if there are wider socially progressive policies in place, including state intervention to create a robust social welfare infrastructure and accessible, high-quality, public services.     

Barriers to the investment in the Concentrated Solar Power sector in Morocco: A foresight approach using the Cross Impact Analysis for a large number of events

The Scenario Analysis methods have often been used by policy makers as an instrument to manage uncertainty and to support the shaping of long-term economy policies. In this research, we apply Scenario Analysis in order to identify the barriers affecting the decision to invest in the Concentrated Solar Power (CSP) sector in Morocco. Our results aim at facilitating the process of defining different paths in strategic political and policy actions. Using data from a survey on a panel of experts, the Cross Impact Analysis (CIA) and the Cross Impact Matrix System (SMIC) techniques are applied. The advantage of these techniques is that they allow including in the analysis the interlinkages between the events that will define the future scenarios. However, their limitation is that the number of events analyzed cannot be too high since the information collected from the experts increases exponentially according to the number of events introduced. We thus expand our analysis with a new methodological approach, combining the use of prospective and statistics techniques. This approach allows addressing the mentioned limitation and applying these techniques, initially restricted to 6 events in its common application, to a large number of events. The results show that uncertainty and informality would be key factors in promoting the arrival of companies in this sector. Additionally, regarding companies that already have a presence in Morocco’s renewable energy sector, an increase in activity would be achieved through improvements in the easing of financial and legal barriers.     

Value of hedge and expected returns

We demonstrate how it is possible to generate value for an investor with a hedge attached to the buy-and-hold strategy of an S&P 500 index fund. We study the S&P 500 index portfolio (not including dividends) and the value-weighted S&P 500 index portfolio (including dividends) of the Center for Research in Securities Prices for 1967:01–2011:12, using the capacity utilization and the unemployment rates in real time to determine if a hedge position should be initiated or closed. A hedge is initiated if the capacity utilization, the unemployment rate or a combination of the two signals a contraction in the real economy. The hedge position is closed if it signals otherwise an expansion. We use utility gains (Campbell and Thompson 2008), the manipulation-proof performance measure (MPPM) statistics (Ingersoll et al. 2007) and the P-Sharpe ratio (Bailey and López de Prado 2012) to evaluate the performance of a particular hedge strategy. The empirical results show that there are infinitely many hedges that can generate positive utility gains, higher MPPM statistics and higher P-Sharpe ratios.     

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.