A new approach to peptide synthesis

A new approach to the synthesis of dipeptides is described based on the formation of the CONH-CHRCO bond by carbenoid N-H insertion, rather than the formation of the peptide bond itself. The key N-H insertion reaction was carried out by treating a mixt. of N-protected amino acid amide and tri-Et diazophosphonoacetate, EtO2CC(:N2)PO(OEt)2, with a catalytic amt. of Rh2(OAc)4 in toluene to form phosphonates, e.g. I (R1 = H, Me, iso-Pr, iso-Bu; R2 = PhCH2O2C, Me3CO2C) in good yield. Dehydro dipeptides, e.g. II (R1, R2 = same as above; R3 = Ph, iso-Pr, N-Boc-indol-3-yl) were prepd. by Wadsworth-Emmons reaction of the phosphonates I with R3CHO using DBU as base.

China's Enterprise Bankruptcy Law (EBL 2006): Cross-Border Perspectives

With China's new Enterprise Bankruptcy Law (‘EBL 2006’) having come into effect on 1 June 2007, a critical issue arises as to the extent to which Article 5, as a cross-border provision, will strengthen creditors' rights across jurisdictions. In this paper attention will be paid in particular to how the Chinese People's Court is likely to exercise its discretion to grant recognition to a foreign court ruling, and vice versa. The paper will start with a brief introduction to the circumstances under which Article 5 came into being. The evolution of China's cross-border insolvency practices will be examined through an analysis of an inbound case of B&T (2002) as well as an outbound one of GITIC (2005). In spite of the fact that China has not adopted the UNCITRAL Model Law, essential factors deemed necessary to be considered by China's court and its counterparts in US and UK are to be highlighted throughout the paper. Although the effect of Article 5 remains to be seen, it will be critically analysed focusing on some controversial issues.

China’s New Approach to CSR in Congo: Is the leverage turning to China?

China has been the world’s fastest growing economy in the past 30 years with its enterprises rapidly emerging and becoming leading players globally. In particular, the progressive integration into the international system has been spurred by China’s entry into the global trading regime of the World Trade Organization (WTO) in 2001. The 'go global' policy has been facilitating the rapidly growing engagement on the African continent of Chinese multinational companies (MNCs). As a promising tri-polar global economic entity, its growth of relations with Africa has been both unprecedented and impressive. As the Sino-Africa economic and business partnership surges forward, the matter of corporate social responsibility (CSR) is increasingly becoming an imperative ingredient for any successful business. It is noteworthy that responsible corporate citizens should take account of the impact of their investment on both economic and social arenas. However, it still remains uncertain what role Chinese MNCs have been playing in the continent’s sustainable development.
A Sino-Congo deal seems a positive way forward, accelerating the Democratic Republic of Congo’s (hereinafter referred to as Congo) regional economy, depressed due to years of war. Meanwhile, the escalating investment into Congo has raised controversies for its no-attachment policy, with increasing pressure imposed on China’s MNCs to take CSR more seriously. Particular concerns are focused on the multinationals’ inadequate environmental and human rights protection. The recent massive infrastructure investment is arguably perceived as a different interpretation of CSR, which has aroused a hot debate about whether China is heading for status as a responsible stakeholder in the international community. It is conducive to clarifying the paradoxical issue by addressing whether China’s recent approaches have the potential to facilitate CSR initiatives or hinder them in the long run.

China's Sovereign Wealth Funds: Problem or Panacea?

China’s impressive economic growth has led to the accumulation of massive financial assets. The emergence of sovereign wealth funds (SWFs), as a governmental investment device for its excessive foreign reserves, symbolizes a major rebalancing of economic power. With its investment portfolios drastically diversified for well-established financial institutions as well as some strategic sectors, a seminal debate seems centered on whether China’s SWFs are in furtherance of purely commercial or geopolitically strategic purposes. Under the sophisticated hard laws associated with international initiatives, it is unlikely that the SWFs-related investment would distort the global financial system, and genuinely threaten national security, which assumption may only exist at a hypothetical level. The potential protectionism would inevitably retard the world economy’s recovery, were it not to be proportionately addressed. A most significant necessity appears to be to strike a proportionate balance between sustaining the credibility of open investment environment and efficiently minimizing implications of SWFs political arenas.

Maximum likelihood estimation of higher-order integer-valued autoregressive processes

In this article, we extend the earlier work of Freeland and McCabe [Journal of time Series Analysis (2004) Vol. 25, pp. 701–722] and develop a general framework for maximum likelihood (ML) analysis of higher-order integer-valued autoregressive processes. Our exposition includes the case where the innovation sequence has a Poisson distribution and the thinning is binomial. A recursive representation of the transition probability of the model is proposed. Based on this transition probability, we derive expressions for the score function and the Fisher information matrix, which form the basis for ML estimation and inference. Similar to the results in Freeland and McCabe (2004), we show that the score function and the Fisher information matrix can be neatly represented as conditional expectations. Using the INAR(2) speci?cation with binomial thinning and Poisson innovations, we examine both the asymptotic e?ciency and ?nite sample properties of the ML estimator in relation to the widely used conditional least
squares (CLS) and Yule–Walker (YW) estimators. We conclude that, if the Poisson assumption can be justi?ed, there are substantial gains to be had from using ML especially when the thinning parameters are large.

TESTING FOR STATIONARITY IN HETEROGENEOUS PANEL DATA IN THE CASE OF MODEL MISSPECIFICATION

This paper investigates the performance of the tests proposed by Hadri and by Hadri and Larsson for testing for stationarity in heterogeneous panel data under model misspecification. The panel tests are based on the well known KPSS test (cf. Kwiatkowski et al.) which considers two models: stationarity around a deterministic level and stationarity around a deterministic trend. There is no study, as far as we know, on the statistical properties of the test when the wrong model is used. We also consider the case of the simultaneous presence of the two types of models in a panel. We employ two asymptotics: joint asymptotic, T, N -> infinity simultaneously, and T fixed and N allowed to grow indefinitely. We use Monte Carlo experiments to investigate the effects of misspecification in sample sizes usually used in practice. The results indicate that the assumption that T is fixed rather than asymptotic leads to tests that have less size distortions, particularly for relatively small T with large N panels (micro-panels) than the tests derived under the joint asymptotics. We also find that choosing a deterministic trend when a deterministic level is true does not significantly affect the properties of the test. But, choosing a deterministic level when a deterministic trend is true leads to extreme over-rejections. Therefore, when unsure about which model has generated the data, it is suggested to use the model with a trend. We also propose a new statistic for testing for stationarity in mixed panel data where the mixture is known. The performance of this new test is very good for both cases of T asymptotic and T fixed. The statistic for T asymptotic is slightly undersized when T is very small (

Maximum likelihood estimation of higher-order integer-valued autoregressive processes

Corrigendum Vol. 30, Issue 2, 259, Article first published online: 15 MAR 2009 to correct the order of authors names: Bu R., K. Hadri, and B. McCabe.