Productivity of Singapore's Manufacturing Sector: An Industry Level Non-Parametric Study

This paper seeks to measure and to explain the productivity of Singapore's manufacturing sector using industry level data. It utilises a non-parametric approach consisting of a set of production distance functions, each of which is obtained by solving a linear programming problem. From a time-series of 1983 to 1993, across thirty industries, we obtain three indices: a Malmquist total factor productivity (TFP) index, an efficiency change index, and a technological change index. The resulting TFP growth stands at 4.6% per annum, considerably greater than previous estimates using aggregate country level data. Three-stage least squares are then applied to the pooled data. Foreign ownership and labour quality are found to have important impact on TFP growth.     

Correction to: What can deregulators deregulate? The case of electricity

Journal of Regulatory Economics - The published version of this article contained a mistake. The name of the second author was printed incorrectly. The correct name is Kwok Ping Tsang.     

LEVERAGED ETF IMPLIED VOLATILITIES FROM ETF DYNAMICS

The growth of the exchange‐traded fund (ETF) industry has given rise to the trading of options written on ETFs and their leveraged counterparts (LETFs). We study the relationship between the ETF and LETF implied volatility surfaces when the underlying ETF is modeled by a general class of local‐stochastic volatility models. A closed‐form approximation for prices is derived for European‐style options whose payoffs depend on the terminal value of the ETF and/or LETF. Rigorous error bounds for this pricing approximation are established. A closed‐form approximation for implied volatilities is also derived. We also discuss a scaling procedure for comparing implied volatilities across leverage ratios. The implied volatility expansions and scalings are tested in three settings: Heston, limited constant elasticity of variance (CEV), and limited SABR; the last two are regularized versions of the well‐known CEV and SABR models.     

Assessment for Learning: Using Solo Taxonomy to Measure Design Performance of Design & Technology Students

One objective of Design &; Technology (D&;T) is to enable students to be inventive in designing practical solutions to problems. D&;T is viewed as being successful when students can demonstrate the ability to recognize problems, undertake inquiries by themselves, and contribute ideas accordingly. This article will discuss a study which investigated an alternative approach to assessing students’ design performances. In the study, a new item format was designed and a new criterion framework of assessment based on Biggs’ SOLO Taxonomy was developed. The evidence from this study indicates strong face validity for the new approach which maps closely to the goals and purposes of learning D&;T.     

Corporate governance and firm value during a financial crisis

The main purpose of this paper is to evaluate the effects of management ownership and other corporate governance variables on Hong Kong firms’ stock performance following the onset of the Asian Financial Crisis (1997–98). Our results show that Hong Kong firms with a more concentrated management (executive board) ownership displayed better capital market performance during the 13-month period of the Crisis. We also find that firms with more equity ownership by non-executive directors, and in which the positions of CEO and board chairperson were occupied by the same individual experienced a smaller stock price decline. Our findings are consistent with the notion that there is a greater alignment of insiders with outside owners, rather than the expropriation by insiders who have the opportunity to divert value, for firms with higher levels of management ownership during an unexpected capital market crisis.     

Marketing Asian places: Attracting investment,industry, and tourism to cities,states and nations

Macro Marketing of Places. By Philip Kotler, Michael Alan, Irving Rein and Donald H. Haider John Wiley & Sons, Inc., New York ISBN: 0–471–47913–6     

New paradigms for the future: keynote perspectives from The R&D Management Conference 2008

The R&D Management Conference 2008 theme of ‘emerging and new approaches to R&D management’ sought to draw out how R&D‐based organizations today are changing the way they manage (in terms of novel approaches, techniques, models and tools) in face of the challenges and opportunities presented in the current environment. Six keynote presentations by executives, representing both the public and private sectors, elaborated on the following subjects reflecting their experiences on the theme: hyperconnectivity and changing R&D tenets, accelerating discoveries in human health via open access public‐private partnerships, role of government in bridging the innovation gap, building sustainability and innovation in a traditional resource sector, R&D management in the aerospace sector, and leveraging diversity to build a culture of innovation. Their presentations highlighted amongst other things – global trends that are affecting how R&D organizations are operating, economic imperatives driving change in business models, working through partnerships within an open innovation environment, and leveraging the diversity presented by an increasingly globalized R&D workforce for success. Within these presentations are also challenges to researchers to generate new thinking to address current and future problems presented by the R&D environment. The keynote perspectives are summarized in this paper.     

Integration of inventory and transportation decisions in a logistics system

This paper addresses some of the challenges faced by a company which is responsible for delivering coal to its four subsidiaries situated along a river, through river hired or self-owned vessels. We propose to adopt a vendor managed inventory concept that involves establishment of a central warehouse at the port, and apply the Markov Decision Process (MDP) to formulate both ordering and delivery problems, considering different transportation modes, costs, and inventory issues. An efficient algorithm is developed for solving the MDP models. Our computational tests show that the proposed strategy can significantly reduce the overall system costs while maintaining smooth Just-in-Time supplies of coal to the subsidiaries.