Bridging the great divide? Making sense of the human rights-CSR relationship in UK multinational companies

Human rights (HR) and corporate social responsibility (CSR) are both fields of knowledge and research that have been shaped by, and examine, the role of multi-national enterprises in society. Whilst scholars have highlighted the overlapping nature of CSR and HR, our understanding of this relationship within business practice remains vague and under-researched. To explore the interface between CSR and HR, this paper presents empirical data from a qualitative study involving 22 international businesses based in the UK. Through an analysis based on sensemaking, the paper examines how and where CSR and HR overlap, contrast and shape one another, and the role that companies’ international operations has on this relationship. The findings reveal a complex and multi-layered relationship between the two, and concludes that in contrast to management theory, companies have bridged the ‘great divide’ in varying degrees most notably in their implementation strategies.     

INDUSTRIAL POLICY IN GREAT BRITAIN AND ITS EFFECT ON TOTAL FACTOR PRODUCTIVITY IN MANUFACTURING PLANTS, 1990–1998

Industrial policy in any economy has a number of varying and occasionally conflicting objectives, but the overarching intention of the various grants, subsidies and support schemes, arguably, must be to improve the economic performance of the plants they assist directly. However, in the absence of counterfactual evidence, whether or not assistance does improve performance is hard to establish. In this paper, we consider the impact of two UK government industrial support schemes (Regional Selective Assistance and the Small Firm Merit Awards for Research and Technology) on UK manufacturing plant level total factor productivity in an attempt to answer the question, ‘did assistance make a difference?’     

Technological change in energy systems: Learning curves, logistic curves and input-output coefficients

Learning curves have recently been widely adopted in climate-economy models to incorporate endogenous change of energy technologies, replacing the conventional assumption of an autonomous energy efficiency improvement. However, there has been little consideration of the credibility of the learning curve. The current trend that many important energy and climate change policy analyses rely on the learning curve means that it is of great importance to critically examine the basis for learning curves. Here, we analyse the use of learning curves in energy technology, usually implemented as a simple power function. We find that the learning curve cannot separate the effects of price and technological change, cannot reflect continuous and qualitative change of both conventional and emerging energy technologies, cannot help to determine the time paths of technological investment, and misses the central role of R&D activity in driving technological change. We argue that a logistic curve of improving performance modified to include R&D activity as a driving variable can better describe the cost reductions in energy technologies. Furthermore, we demonstrate that the top-down Leontief technology can incorporate the bottom-up technologies that improve along either the learning curve or the logistic curve, through changing input-output coefficients. An application to UK wind power illustrates that the logistic curve fits the observed data better and implies greater potential for cost reduction than the learning curve does.     

Forecasting UK house prices: A time varying coefficient approach

Previous studies of UK house prices, developed from the demand and supply ofhousing or from the asset market approach have been poor in terms of robustness and ex-post forecasting ability. The UK housing market has suffered a number of structural changes, particularly since the early 1980s with substantial house price increases, financial market deregulation and the removal of mortgage market constraints through competition. Consequently, models which assume that the underlying data-generating process is stable and apply constant parameter techniques tend to suffer in terms of parameter instability. This article uses the Time Varying Coefficient (TVC) methodology where the underlying data-generating process in the UK housing market is treated as unstable. The estimation results of the TVC regression of UK house prices is compared with those obtained from three alternative constant parameter regressions. Comparisons of forecasting performance suggest the TVC regression out-performs forecasts from an Error Correction Mechanism (ECM), Vector Autoregressive (VAR) and an Autoregressive Time Series regression.     

英国的非公开权益资本和风险投资

英国是欧洲风险投资和非公开权益资本的发源地。在欧洲国家中,英国的风险投资和非公开权益资本起步最早,发展也最快。从1979年算起,英国风险资本投资额和非公开权益资本增长了100多倍。2005年,在欧洲的风险投资市场上,英国的风险资本总额占欧洲风险投资额的40￣50%,在欧洲是当仁不让的“大哥大”,在世界范围内仅次于美国。本篇文章主要介绍了风险投资(VentureCapital,VC)及非公开权益资本(PrivateEquity,PE)的最新概念和从属关系以及英国的风险投资及非公开权益资本的历史、结构、规模、投资趋势、投资阶段、投资领域、地理特征、知名风险企业、投资表现等,以此从数据和分析的角度使中国的风险投资领域及非公开权益资本领域的从业人员以借鉴、启迪的作用。     

A text book treatment of calculating returns on non-traditional portfolios

This paper addresses a gap in traditional portfolio literature by providing techniques for identifying returns on non-traditional portfolios.Futures contracts require daily cash flows over the holding period; these cash flows determine the rate of return. The security deposit represents a tied investment since the funds are not available for other uses and do not earn a risk adjusted return. To initiate a short option or a short stock position also requires a cash outflow. The cash outflow or equity deposit effectively constitutes an investment since the trader postpones consumption in a risky medium that does not guarantee the return of the funds.By identifying the amount of the investment and rates of returns, it is possible to extend normative investment analysis to non-traditional portfolio holdings. This paper introduces four propositions to aid in this process.     

Linking the dots among destination images,place attachment,and revisit intentions: A study among British and Russian tourists

Limited evidence suggests that the incorporation of both image components (cognitive, affective, and conative) and holistic image is meaningful for predicting tourists' revisit intentions. Extending this line of research, the present study aims to unravel the relative influence that each component of image has directly and indirectly, via holistic image, on revisit intentions. In doing so, we incorporate two national samples (British and Russians) of diverse tourist profile and significantly different levels of visitation frequency to investigate place attachment as a moderator. Evidence from 1362 British and 1164 Russian tourists indicated that all image components have a positive indirect effect on revisit intention via holistic image, while conative has also a direct one. As expected, the image components rank differently for British and Russian tourists. The indirect effects of destination images on revisit intention, except conative, are conditional and, interestingly, most of these are stronger for tourists with low PA.     

英国技术前瞻研究工作全景

英国的技术前瞻研究工作发源于1994年的技术预测计划,现已成为英国政府的一项常规工作。英国技术前瞻研究组挂靠在商业、创新和技能部下属的政府科学办公室,有优秀的研究队伍和稳定的经费支持,其开展的项目涉及新兴科学和技术面临的挑战和机遇以及围绕科技能发挥作用的重大社会问题,例如,全球变化、应对肥胖和洪涝灾害等。技术前瞻研究项目的研究报告和提出的有关建议,不仅对英国政府制定政策提供了重要参考,也对国际社会关于一些重大问题的判断和应对措施产生了较大影响。通过对英国技术前瞻研究工作的由来、已经完成和正在开展的项目、核心研究团队、项目的遴选标准和特点等进行系统介绍,并以案例的形式阐述了其前瞻研究项目对政府部门的影响,旨在为我国开展相关工作提供参考借鉴。     

Semiparametric estimation of multi-asset portfolio tail risk

When correlations between assets turn positive, multi-asset portfolios can become riskier than single assets. This article presents the estimation of tail risk at very high quantiles using a semiparametric estimator which is particularly suitable for portfolios with a large number of assets. The estimator captures simultaneously the information contained in each individual asset return that composes the portfolio, and the interrelation between assets. Noticeably, the accuracy of the estimates does not deteriorate when the number of assets in the portfolio increases. The implementation is as easy for a large number of assets as it is for a small number. We estimate the probability distribution of large losses for the American stock market considering portfolios with ten, fifty and one hundred assets of stocks with different market capitalization. In either case, the approximation for the portfolio tail risk is very accurate. We compare our results with well known benchmark models.