A quantitative study of financing efficiency of low‐carbon companies: A three‐stage data envelopment analysis

This study set out to evaluate the financing efficiency of low‐carbon companies. Applying a three‐stage data envelopment analysis with the data from 85 listed companies in China's low‐carbon industries over the period 2011 to 2017, this study has found that the overall financing efficiency of low‐carbon companies was relatively high, and the pure technical efficiency was quite steady over the period. The overall financing efficiency of these low‐carbon companies on average tended to change with the scale efficiency. This study has also shown that the scale efficiency was the main constraint influencing the financing efficiency of low‐carbon companies in China over the period. Our results are robust and have significant implications for policy makers and corporate managers.     

MULTIVARIATE METHODS FOR MONITORING STRUCTURAL CHANGE

Detection of structural change is a critical empirical activity, but continuous ‘monitoring’ for changes in real time raises well‐known econometric issues that have been explored in a single series context. If multiple series co‐break then it is possible that simultaneous examination of a set of series helps identify changes with higher probability or more rapidly than when series are examined on a case‐by‐case basis. Some asymptotic theory is developed for maximum and average CUSUM detection tests. Monte Carlo experiments suggest that these both provide an improvement in detection relative to a univariate detector over a wide range of experimental parameters, given a sufficiently large number of co‐breaking series. This is robust to a cross‐sectional correlation in the errors (a factor structure) and heterogeneity in the break dates. We apply the test to a panel of UK price indices. Copyright © 2011 John Wiley & Sons, Ltd.     

The joint effect of leader–member exchange and emotional intelligence on burnout and work performance in call centers in China

We examined the joint effect of LMX and emotional intelligence (EI) on burnout and work performance. Results based on data collected from 493 leader-member dyads in the call center of a large Chinese telecommunication company indicated that LMX was negatively related to burnout, yet was not significantly related to objective work performance. Moreover, we examined the effects of the four dimensions of EI (self-emotion appraisal, other-emotion appraisal, use of emotion, and regulation of emotion) on burnout and performance, and found that burnout mediated the link between use of emotion and work performance. Results also showed that LMX was associated with burnout and work performance more strongly for service workers with lower levels of self-emotion appraisal. More surprisingly, the link between LMX and work performance was stronger for service workers with higher levels of use of emotion.     

Selective hedging with market views and risk limits: the case of Hydro-Quebec

This study presents how Hydro-Quebec manages its short-term financial risks. The quantitative hedging model is articulated over forward and volatility premia and constrained by a yearly risk limit provided by the firm's Finance Committee. The hedging solutions provide the optimal linear hedging parameters and option strike levels. The second part of the paper is devoted to a theoretical analysis of the sensitivity of the optimal solutions to changes in the premia, by means of the general implicit function theorem.     

The ABC of complementary products mergers

We present a simple model where mergers benefit consumers, harm outsiders and, depending on the shape of demand, can be profitable for insiders (and where mergers do not involve cost synergies).     

Aid and public sector fiscal behaviour in failing states

This paper looks at interactions between foreign aid and the public sector in developing countries, especially those considered to be fragile or failing states. A model is proposed which employs actual budgetary appropriations and revenue estimates (rather than estimated target variables) and allows for asymmetric preferences. Variants of the model are estimated using time-series data for Papua New Guinea (PNG). PNG is classified as a fragile state by the international community owing to perceived policy and institutional inadequacies. Results obtained suggest that foreign aid increases consumption and investment expenditures and decreases tax revenues and the level of borrowing.     

The effects of (incentivized) belief elicitation in public goods experiments

Belief elicitation is an important methodological issue for experimental economists. There are two generic questions: 1) Do incentives increase belief accuracy? 2) Are there interaction effects of beliefs and decisions? We investigate these questions in the case of finitely repeated public goods experiments. We find that belief accuracy is significantly higher when beliefs are incentivized. The relationship between contributions and beliefs is slightly steeper under incentives. However, we find that incentivized beliefs tend to lead to higher contribution levels than either non-incentivized beliefs or no beliefs at all. We discuss the implications of our results for the design of public good experiments.     

The determinants of the location of foreign direct investment in UK regions†

This article employs a database of over 2000 observations of Foreign Direct Investment (FDI) projects in UK regions. We analyse this data by means of various multinomial and conditional logit models in order to identify the major determinants of the location choices of these inward investments. Having controlled for the various characteristics of inward investing firms, the projects and the regions, our results suggest that existing regional specialization is the single most important determining feature of where inward FDI locates. In addition, London is seen to benefit primarily by the immigration of new investments, the majority of which are related to service sector activities.