国际战略联合的成功之路

世界经济中的种种迹象表明,国际战略联合这一国际化经营的新方式正日益显示出其重要性,并终将成为拓展国际化经营活动的主要方式。作为国际化经营活动主角的跨国公司。     

中国的工业改革与效率变化-方法、数据、文献和现有的结果

全要素生产率是理解经济增长的方式和结构的重要指标之一,中国的工业改革正好为经济学家关注和考察不同所有制的企业形式以及改革政策对生产率变动的不同影响提供了丰富的经验基础。在1978年开始的旨在向市场经济转型的中国经济体制改革正在彻底地改变着它的工业部门面临的市场结构和工业组织,并不断造就着一个与世界经济更加融合的制造业部门。新的和更有竞争力的工业部门在竞争中不断获得了高速增长和扩张的机会,使得中国工业部门的生产率改善主要依赖着非国有企业的成长和它的活力。中国工业改革的成就不是挽救了国有企业,而是收缩了国有企业部门的"战线",诱致了一个非国有的新兴工业部门的崛起。     

我国企业变革方向的探讨

随着知识经济新时代的到来和我国加入国际贸易组织(WTO),我国企业面临着前所未有的挑战。本文针对这一新的形势,从企业的全球化、网络化、专业化、素质化四个方面探讨了企业变革的方向。     

关于增加湖北省中等收入者比重的调查与分析(下)

我国中等收入阶层的形成和壮大，是同无数中等收入的形成和壮大联系在一起的，也与我国经济社会体制的不断跃迁、不断完善密切相关，特别是中等收入的特质及其影响力，是与我国经济社会体制改革的效率和整个社会的福利水平呈现一种正相关关系的。扩大中等收入比重，提高低收入收入水平，这是在新的历史条件下对我国传统收入分配制度的一个新的注解。     

建立和完善我国中央银行货币政策运作体系的构想

本文从中央银行货币政策与金融监管职能相分离、完善货币政策委员会的功能、完善公开市场体系、加强利率市场化进程、增强货币政策的前瞻性和协调性等方面入手，构想了我国中央银行货币政策运作体系的框架。     

素质教育应把德育放在首位

在素质教育中,在人才素质的诸要素中,思想道德素质是根本、是灵魂。这是最具有时代特征的新型人才观,也是素质教育的核心。思想道德素质制约和影响着学生的人生观和价值观;思想道德素质决定和影响着学生的治学态度;思想道德素质决定和影响学生毕业的发展和职业道德。     

Prevention versus Treatment under Precautionary Regulation: A Case Study of Groundwater Contamination under Uncertainty

Policy discussions on agricultural pollution problems characterize prevention as more cost effective and precautionary than ex post treatment. We derive conditions under which treatment alone is more cost effective in situations involving multiple sources of emissions, multiple sites affected, and a commonly used precautionary approach to uncertainty. We also show that a greater degree of precaution can result in less reliance on prevention. An empirical case study indicates that treatment alone is the most cost-effective means of dealing with nitrate in most Maryland community water system wells. The use of leaching prevention measures is restricted to the most intensive poultry producing areas. The incremental cost of precaution is substantial.     

Modeling Conditional Yield Densities

Given the increasing interest in agricultural risk, many have sought improved methods to characterize conditional crop-yield densities. While most have postulated the Beta as a flexible alternative to the Normal, others have chosen nonparametric methods. Unfortunately, yield data tends not to be sufficiently abundant to invalidate many reasonable parametric models. This is problematic because conclusions from economic analyses, which require estimated conditional yield densities, tend not to be invariant to the modeling assumption. We propose a semiparametric estimator that, because of its theoretical properties and our simulation results, enables one to empirically proceed with a higher degree of confidence.     

Stochastic Technology, Risk Preferences, and Adoption of Site-Specific Technologies

A model of farmer decision making is developed to determine the extent to which uncertainties about soil fertility and weather affect the value of site-specific technologies (SSTs) using jointly estimated risk and technology parameters. Uncertainty can lead risk-averse farmers to apply more fertilizers and generate more pollution than in the certainty case. Ignoring uncertainty and risk aversion would overestimate the economic and environmental benefits of SSTs and underestimate the subsidy required to induce adoption. Accounting for uncertainties and risk preferences might explain the low observed adoption rates of SSTs. Improving the accuracy of SSTs would increase the incentives for adoption.     

Estimating Willingness to Pay for Improved Water Quality in the Presence of Item Nonresponse Bias

This article deals with the problem of item nonresponse in contingent valuation surveys using a payment-card method, by applying a grouped-data sample-selection estimation technique that is capable of imputing the missing values conditional upon a respondent's decision to answer a willingness-to-pay question. The advantage of the technique lies in its ability to utilize all of the information in the sample, permitting a more efficient estimation in the presence of item nonresponse bias. The major determinants of willingness to pay appear to be household income, number of children, education, perception of existing water quality, and identification with environmental issues.