生态文明的未来:马克思和无为生态

工业革命以来,自然生态遭受巨大破坏,各种环境问题大量出现.西方传统经济学思想对此负有不可推卸的责任.与之相反,中国传统文化中主张无为而治的无为思想,更能与马克思的思想相契合,因为,它有利于保持生态系统的平衡,促进人与自然的和谐共处以及经济的可持续发展.     

Political Economy of Mechanisms

We study the provision of dynamic incentives to self‐interested politicians who control the allocation of resources in the context of the standard neoclassical growth model. Citizens discipline politicians using elections. We show that the need to provide incentives to the politician in power creates political economy distortions in the structure of production, which resemble aggregate tax distortions. We provide conditions under which the political economy distortions persist or disappear in the long run. If the politicians are as patient as the citizens, the best subgame perfect equilibrium leads to an asymptotic allocation where the aggregate distortions arising from political economy disappear. In contrast, when politicians are less patient than the citizens, political economy distortions remain asymptotically and lead to positive aggregate labor and capital taxes.     

The role of culture in technology management research: National Character and Cultural Distance frameworks

Management research exploring the role of national culture on topics such as management style, strategy, and firm performance can broadly be divided into two categories. Studies that attempt to compare and contrast the impact of culture on organizations in different cultures have been labeled as “National Character” studies. These studies attempt to determine how specific cultural attributes affect actions, strategies and performance. The second type of culture study focuses on the interactions between two firms embedded in different national cultures. These studies look at the impact of “Cultural Distance” on the ability of organizations to successfully interact. It is this latter area which is becoming increasingly important to technology management in the “Flat World” of the 21st Century. Research propositions for technology management for each of the two frameworks are developed.     

Operations in the Service Industries: Introduction to the Special Issue

This special issue of Production and Operations Management offers a sample of ongoing research that focuses currently on the services industries. The articles selected cover a spectrum of application areas as well as methodologies.     

Improved adaptive group testing algorithms with applications to multiple access channels and dead sensor diagnosis

We study group-testing algorithms for resolving broadcast conflicts on a multiple access channel (MAC) and for identifying the dead sensors in a mobile ad hoc wireless network. In group-testing algorithms, we are asked to identify all the defective items in a set of items when we can test arbitrary subsets of items. In the standard group-testing problem, the result of a test is binary—the tested subset either contains defective items or not. In the more generalized versions we study in this paper, the result of each test is non-binary. For example, it may indicate whether the number of defective items contained in the tested subset is zero, one, or at least two. We give adaptive algorithms that are provably more efficient than previous group testing algorithms. We also show how our algorithms can be applied to solve conflict resolution on a MAC and dead sensor diagnosis. Dead sensor diagnosis poses an interesting challenge compared to MAC resolution, because dead sensors are not locally detectable, nor are they themselves active participants. A preliminary version of this paper was presented at SPAA 2006.     

Care: A Critical Review of Theory,Policy and Practice

‘Care’ is a source of critical tension in current social theory, and the policy and practice implications of that tension are evidenced in its current prominence on the political agenda of developed welfare states. This article critically appraises current developments in the theory, policy and practice of care, drawing on interdisciplinary developments in political theory, sociology and social policy. Developing feminist and disability‐rights theories, it explores a critical synthesis of conflicting normative and theoretical positions regarding the giving and receiving of care, and of the ethics and justice of care. It examines case studies of current comparative policy developments across a range of different welfare regimes, including the marketization/commodification and de/re‐familiaization of care, exploring ideological and normative trends in the design of contemporary policies. It discusses the impact of theory and policy on the practice of care, looking particularly at the issue of long‐term care for disabled and older adults. Finally, the authors argue for the development of a citizenship‐based approach to care that decouples it from individualistic and paternalistic paradigms that disempower those who give and receive care.     

A new double sampling control chart for monitoring process mean using auxiliary information

Statistical quality control charts have been widely accepted as a potentially powerful process monitoring tool because of their excellent speed in tracking shifts in the underlying process parameter(s). In recent studies, auxiliary-information-based (AIB) control charts have shown superior run length performances than those constructed without using it. In this paper, a new double sampling (DS) control chart is constructed whose plotting-statistics requires information on the study variable and on any correlated auxiliary variable for efficiently monitoring the process mean, namely AIB DS chart. The AIB DS chart also encompasses the classical DS chart. We discuss in detail the construction, optimal design, run length profiles, and the performance evaluations of the proposed chart. It turns out that the AIB DS chart performs uniformly better than the DS chart when detecting different kinds of shifts in the process mean. It is also more sensitive than the classical synthetic and AIB synthetic charts when detecting a particular shift in the process mean. Moreover, with some realistic beliefs, the proposed chart outperforms the exponentially weighted moving average chart. An illustrative example is also presented to explain the working and implementation of the proposed chart.     

Double sampling |S| control chart with variable sample size and variable sampling interval

This study presents a control chart for monitoring shifts in the covariance matrix of a multivariate normally distributed process. This chart combines the double sampling, variable sample size and variable sampling interval features, and is called the DSVSSI |S| chart. A Markov chain approach is developed to design the DSVSSI |S| chart, by minimizing the average time to signal (ATS), for a specified shift size in the covariance matrix. The DSVSSI |S| chart has a better ATS performance compared to other existing charts. An example is given to illustrate the operation of the DSVSSI |S| chart.