The raw material basis of global value chains: allocating environmental responsibility based on value generation

A new approach to allocate environmental responsibility, the ‘value added-based responsibility’ allocation, is presented in this article. This metric allocates total environmental pressures occurring along an international supply chain to the participating sectors and countries according to the share of value added they generate within that specific supply chain. We show that – due to their position in global value chains – certain sectors (e.g. services) and countries (e.g. Germany) receive significantly greater responsibility compared to other allocation approaches. This adds a new perspective to the discussions concerning a fair distribution of mitigation costs among nations, companies and consumers.     

后马歇尔时代聚集经济理论之分析

聚集经济理论主要起源于英国学者阿弗里德.马歇尔(Alfred Marshall)。后马歇尔时代,西方不同的学术流派把聚集经济引申出不同分类,这些分类从不同的角度对聚集经济进行探析。马歇尔理论遗留的很多问题依然亟待解决。     

Evaluating the risk of patent infringement by means of semantic patent analysis: the case of DNA chips

In this paper, we are going to present a method for detecting the risks of patent infringement by evaluating similarities between patent documents on the basis of semantic patent analysis. This approach enables the user to visualize similarities in the contents on a semantic patent map by means of multi‐dimensional scaling. The effectiveness of the semantic patent map has already been demonstrated by Dressler (2006) with regard to patents of seal technology, in which documents are commonly kept short and the extracted contents are concise. This paper will open out to the field of biotechnology, where patents can easily comprise several hundreds of pages. The method presented here conveys an interdisciplinary approach and combines computer‐aided natural language processing with domain‐specific expertise of biochemical processes. This is illustrated by an authentic case of infringement involving two manufacturers of DNA chips. Our experiment will show how the infringement case is visualized on a patent map based on semantic patent analysis. This experiment can be compared with the search for a needle in a haystack, the two competitive patents representing significantly conflicting ‘needles.’ From an approximate number of 4,000 patents in the current US Class 435/6, a set of patents was selected that included the ‘needles’ mentioned. This paper will point out how such mutual interference can be detected by way of semantic patent analysis, and what advice may be given to R&D managers who are faced with the risk of patent infringement.     

Trade Liberalisation,Market Structure and the Incentive to Merge

In this article, we consider whether a movement towards freer international trade generates incentives for firms to merge and if so what forms of merger are most profitable. In a linear Cournot framework, we show that a reduction in trade costs may, but will not necessarily, encourage mergers. Both market structure and the level to which trade costs fall are shown to play a decisive role. Domestic mergers will be encouraged only if the product market is not highly concentrated and trade costs fall below a threshold level. International mergers can be encouraged in any market structure, and are generally more profitable than domestic mergers.     

MCMC ESTIMATION OF LÉVY JUMP MODELS USING STOCK AND OPTION PRICES

We examine the performances of several popular Lévy jump models and some of the most sophisticated affine jump‐diffusion models in capturing the joint dynamics of stock and option prices. We develop efficient Markov chain Monte Carlo methods for estimating parameters and latent volatility/jump variables of the Lévy jump models using stock and option prices. We show that models with infinite‐activity Lévy jumps in returns significantly outperform affine jump‐diffusion models with compound Poisson jumps in returns and volatility in capturing both the physical and risk‐neutral dynamics of the S&P 500 index. We also find that the variance gamma model of Madan, Carr, and Chang with stochastic volatility has the best performance among all the models we consider.     

Astroturfing Global Warming: It Isn’t Always Greener on the Other Side of the Fence

Astroturf organizations are fake grassroots organizations usually sponsored by large corporations to support any arguments or claims in their favor, or to challenge and deny those against them. They constitute the corporate version of grassroots social movements. Serious ethical and societal concerns underline this astroturfing practice, especially if corporations are successful in influencing public opinion by undertaking a social movement approach. This study is motivated by this particular issue and examines the effectiveness of astroturf organizations in the global warming context, wherein large corporate polluters have an incentive to set up astroturf organizations to undermine the importance of human activities in climate change. We conduct an experiment to determine whether astroturf organizations have an impact on the level of user certainty about the causes of global warming. Results show that people who used astroturf websites became more uncertain about the causes of global warming and humans’ role in the phenomenon than people who used grassroots websites. Astroturf organizations are hence successful in promoting business interests over environmental protection. In addition to the multiple business ethics issues it raises, astroturfing poses a significant threat to the legitimacy of the grassroots movement.     

Would Freeing Up World Trade Reduce Poverty and Inequality? The Vexed Role of Agricultural Distortions

Trade policy reforms in recent decades have sharply reduced the distortions that were harming agriculture in developing countries, yet global trade in farm products continues to be far more distorted than trade in non‐farm goods. Those distortions reduce some forms of poverty and inequality but worsen others, so the net effects are unclear without empirical modelling. This article summarises a series of new economy‐wide global and national empirical studies that focus on the net effects of the remaining distortions to world merchandise trade on poverty and inequality globally and in various developing countries. The global Linkage model results suggest that removing those remaining distortions would reduce international inequality, largely by boosting net farm incomes and raising real wages for unskilled workers in developing countries, and would reduce the number of poor people worldwide by 3 per cent. The analysis based on the Global Trade Analysis Project model for a sample of 15 countries, and nine stand‐alone national case studies, all point to larger reductions in poverty, especially if only the non‐poor are subjected to increased income taxation to compensate for the loss of trade tax revenue.     

Debt to Society: Asset Poverty and Prisoner Reentry

Every year, millions of people exit American jails and prisons and attempt to reintegrate into society. Ex-offenders face many obstacles during the transition. Scholars contend that securing employment is central to a successful transition. A job that allows an ex-offender to earn an income above the poverty line is especially significant, recent studies have shown. Consequently, many prisoner reentry initiatives are focused on expanding employment opportunities for ex-offenders. However, the almost exclusive emphasis on employment as the measurement of economic well-being is short-sighted because it ignores the importance of financial education and asset ownership. Prisoner reentry programs should include an emphasis on financial education in addition to an emphasis on employment as a means of reducing recidivism rates and improving the economic well-being of the ex-offenders and receiving communities. The paper concludes with a discussion of policy implications.