REITs在商业地产发展中的运用

REITs是一种可以使广大中小投资者投资房地产并分享稳定收益的方式。随着我国房地产宏观调控政策作用的不断显现,房地产开发企业所面临的融资条件越来越严格。对于开发投资大,回收期长的商业地产开发来说,发展REITs具有重要意义,不仅能拓宽商业地产开发的融资渠道,还可以分散银行体系的经营风险,防范金融业风险。对国内商业地产开发中存在的问题和在商业地产中引入REITs时开发商应做的准备工作进行了讨论,同时结合美国REITs的经验提出了相关政策建议。     

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。     

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.     

Chance Constrained Programming Formulations for Stochastic Characterizations of Efficiency and Dominance in DEA

Pareto-Koopmans efficiency in Data Envelopment Analysis (DEA) is extended to stochastic inputs and outputs via probabilistic input-output vector comparisons in a given empirical production (possibility) set. In contrast to other approaches which have used Chance Constrained Programming formulations in DEA, the emphasis here is on joint chance constraints. An assumption of arbitrary but known probability distributions leads to the P-Model of chance constrained programming. A necessary condition for a DMU to be stochastically efficient and a sufficient condition for a DMU to be non-stochastically efficient are provided. Deterministic equivalents using the zero order decision rules of chance constrained programming and multivariate normal distributions take the form of an extended version of the additive model of DEA. Contacts are also maintained with all of the other presently available deterministic DEA models in the form of easily identified extensions which can be used to formalize the treatment of efficiency when stochastic elements are present.     

基于模糊层次分析的供应链绩效评价

供应链管理的绩效评价,对于供应链运作和管理是至关重要的.本文在对供应链上单个企业的绩效评价指标的局限性的分析基础上,阐述了供应链指标体系作用及设计原则,并构建了供应链绩效评价指标体系,同时利用层次分析法确定各指标的权重,最后运用模糊综合评价方法从定量的角度对企业绩效评价方法进行研究,并给出评价过程.     

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.     

Theory and practice of monetary policy

Summary. We consider an optimally managed renewable resource with stochastic non-concave growth function. We characterize the conditions under which the optimal policy leads to global extinction, global conservation and the existence of a safe standard of conservation. Our conditions are specified in terms of the economic and ecological primitives of the model: the biological growth function, the welfare function, the distribution of shocks and the discount rate. Our results indicate that, unlike deterministic models, extinction and conservation in stochastic models are not determined by a simple comparison of the growth rate and the discount rate; the welfare function plays an important role.Received: 20 October 2004, Revised: 28 February 2005, JEL Classification Numbers: D90, O11, O41, Q32.Santanu Roy: Correspondence toResearch on this paper was completed when the second author visited Cornell University in July, 2003. We thank the Center for Analytic Economics and the Department of Economics at Cornell University for making this research visit possible. The current version has gained considerably from the comments made by an anonymous referee.