基于粒子群优化的模糊聚类分析

基于求解实优化问题时,粒子群优化算法优于遗传算法。在基于遗传算法的模糊C均值聚类算法基础上,给出了基于粒子群的模糊C均值聚类算法,试验结果表明:该算法克服了传统的模糊C均值聚类算法的缺陷,同时在收敛速度方面明显优于基于遗传算法的模糊C均值聚类算法。     

中国转基因食品安全管理的现状及对策

转基因食品是当今世界各国基因研究的重点。我国的转基因技术发展迅速,但科学界在转基因食品对人类健康和生态风险方面的认识存在局限性,政府应制定相应的政策、措施对其进行安全管理。本文介绍了转基因食品的概念及在我国的发展情况,分析了我国转基因食品安全管理的现状,阐述了转基因食品安全管理的重要性,并针对其中存在的问题,提出相应的对策。     

On the informational content of advice: a theoretical and experimental study

This paper examines the market for advice and the underlying perception that advice is useful and informative. We do this by first providing a theoretical examination of the informational content of advice and then by setting up a series of experimental markets where this advice is sold. In these markets we provide bidders with a demographic profile of the “experts” offering advice.The results of our experiment generate several interesting findings. The raw bid data suggest that subjects bid significantly more for data than they do for advice. Second, in the market for advice there appears to be no consensus as to who are the best advisors although on average economists demand the highest mean price and women suffer a discount. In addition, we find that whether a subject suffers from a representativeness bias in the way he or she processes data has an impact on how he or she bids for advice and on his or her willingness to follow it once offered. Finally, we find that on average people impute a low level of informativeness onto advice, consistent with their bidding behavior for data versus advice.This work was done under grant number SES-0425118 of the National Science Foundation. The authors would like to recognize the Center for Experimental Social Science at New York University for its additional support. We also acknowledge the help of Elizabeth Potamites for her research assistance.     

基于平衡计分卡的物流企业绩效评价指标体系研究

提出了物流企业绩效评价的基本原则，并以平衡计分卡的基本原理为依据，从财务、客户、内部业务流程、学习与发展等方面研究了物流企业绩效评价指标体系。     

发挥热电联产的优势推动城市集中供热发展

热电联产集中供热是节约能源、减少环境污染的重要措施之一.目前我国热电联产集中供热的发展机遇和挑战共存,应发挥热电联产的优势,推动城市集中供热的发展.     

On a clear day you might see an environmental Kuznets curve

We shed some new light on the Environmental Kuznets curve (EKC) and show how it can be viewed as a particular form of equilibrium relationship, where technology and preference parameters determine the shape of the curve. In contrast to most of the literature on the EKC, we estimate a theoretically consistent model on long-run data (Swedish sulfur emission, covering the period 1900–2002). Furthermore, we test and date structural change. The model suggests four regimes, 1900–1918, 1919–1933, 1934–1967 and 1968–2002, generating four rather different patterns for pollution over time. The policy-conclusions are consonant with Pearce’s general view about the EKC: there is no theoretical presumption that it has an inverted U shape, nor should any country try to “grow out of the environmental problems” without analyzing the benefits and costs of so doing.     

A hierarchical model of the determinants of non-performing assets in banks: an ISM and MICMAC approach

The banking systems of emerging economies in general and India in particular are facing sustained impairment due to mounting non-performing assets (NPAs). In the absence of stringent policies and their implementation, the results will be detrimental and may eventually lead to an economic crisis. Thus, it is imperative to unearth the causal factors and mitigate the risks involved with rising NPAs. The study attempts to identify the determinants of NPAs from the existing literature and subsequently, explore the interlinkages between the identified factors. A model of these factors is developed using Interpretive Structural Modeling (ISM) and MICMAC approach. Key managerial insights were obtained by the suggested model, specific to the Indian context. The hierarchical model provides a clearer perspective about the relationship between the factors and suggests that economic conditions and political factors are the key drivers which impact the ownership pattern and adherence to the regulatory framework; these further impact the internal factors related to the banks and borrowers’ capacity to repay. The study will act as a scaffolding for policymakers and bankers. Based on these findings, better instruments and mechanisms for recovery/management of NPAs can be put in place.     

Behavior in one-shot traveler’s dilemma games: model and experiments with advice

We report results of one-shot traveler’s dilemma game experiments to test the predictions of a model of introspection. The model describes a noisy out-of-equilibrium process by which players reach a decision of what to do in one-shot games. To test the robustness of the model and to compare it to other models of introspection without noise, we introduce non-binding advice. Advice has the effect of coordinating all players’ beliefs onto a common strategy. Experimentally, advice is implemented by asking subjects who participated in a repeated traveler’s dilemma game to recommend an action to subjects playing one-shot games with identical parameters. In contrast to observations, models based on best-response dynamics would predict lower claims than the advised. We show that our model’s predictions with and without advice are consistent with the data.      

The Effects of Public Ownership and Regulatory Independence on Regulatory Outcomes

We examine the effects of public ownership and regulatory agency independence on regulatory outcomes in EU telecommunications. Specifically, we study regulated interconnect rates paid by entrants to incumbents. We find that public ownership of the incumbent positively affects these interconnect rates, and suggest that governments influence regulatory outcomes in favor of incumbents in which they are substantially invested. However, we also find that the presence of institutional features enhancing regulatory independence from the government mitigates this effect. In order to study regulatory independence, we introduce a new cross-country time-series database—the European Union Regulatory Institutions (EURI) Database. This database describes the development of institutions bearing on regulatory independence and quality in telecommunications in the 15 founding EU member states from 1997 to 2003 *We thank Laurent Pipitone for superb research assistance. Geoff Edwards thanks the Sasakawa Foundation and the Institute of Management, Innovation and Organization at the Haas School of Business for generous financial assistance, and London Business School for non-financial support. Leonard Waverman thanks the Global Communications Consortium for support     

Regulatory and environmental effects on public transit efficiency: a mixed DEA-SFA approach

This paper assesses the impact of regulatory and environmental factors and statistical noise on the efficiency of public transit systems within a DEA-based framework. Using a panel of Italian companies, we implement a DEA-SFA mixed approach based on [H.O. Fried et al. (2002) Journal of Productivity Analysis, 17(1–2), 157–174] to decompose DEA inefficiency measures into three components: exogenous effects, managerial inefficiency and stochastic events. Besides providing evidence on the determinants of input-specific efficiency differentials across companies, the results point out that managerial skills play a minor role, and emphasize the relevance of regulatory policies aimed at replacing cost-plus subsidization with high-powered incentive contracts as well as improving environmental conditions of public transit networks.