Valuing The Beneficts of Air Pollution Abatement Using a Health Production Function A Case Study of Panipat Thermal Power Station, India

The Indian economy today is highly prone to industrial pollution and ismaking compliance decisions in order to meet environmental standards.Environmental regulations impose significant costs upon industry that arefairly high and, therefore, require economic justification. This justificationcan be given by estimating the benefits associated with these costs. Whilethe scientific rationale behind air quality preservation is well understood,its economic rationale for a developing country like India, has to beverified. The objective of the present paper is to estimate the economicvalue that people in an urban area in India (Panipat Thermal Power Station(PTPS) Colony in Panipat, Haryana) place upon improving the air quality.The dose-response method, based on the Gerking and Stanley (1986) model,is used to estimate the economic benefits of air quality improvement. Theseestimates range from one to two percent of monthly income. Income andhealth status variables were significant determinants of peoples'willingness to pay (WTP) for air quality improvements. This lends supportto the neo-conventional wisdom `act now to protect the environment beforeit is too late'. These people are ready to pay for environmentalimprovements. We do believe, however, that the relatively successfulapplication of the dose response method at PTPS colony suggests that thetechnique can be more widely applied in developing countries like India.     

从含钴废料中回收钴的研究进展

介绍了从转炉渣、净液钴渣、镍钴硫化物三种含钴废料中回收钴的方法。     

市场、技术及管理三维创新协同过程及模型研究

技术、管理及市场三维创新协同,可以充分发挥单维创新所无法实现的"1+1>2"的协同效应。三维创新协同不仅强调技术、管理及市场部门之间的知识及信息的互动与协调,而且更强调这些部门间的价值互动和创造。提出了市场、技术及管理三维创新概念,阐释了三维创新协同的内涵,分析探讨了三维创新协同过程及模型。     

Beyond conjoint analysis: Advances in preference measurement

We identify gaps and propose several directions for future research in preference measurement. We structure our argument around a framework that views preference measurement as comprising three interrelated components: (1) the problem that the study is ultimately intended to address; (2) the design of the preference measurement task and the data collection approach; (3) the specification and estimation of a preference model, and the conversion into action. Conjoint analysis is only one special case within this framework. We summarize cutting edge research and identify fruitful directions for future investigations pertaining to the framework’s three components and to their integration.     

房地产宏观调控的政策效应研究

本文用两步多变量回归方法检验了我国2002—2008年房地产宏观调控政策的效果。总的来说,调控政策能够产生比较明显的市场反应;当政策传递出抑制房地产业的信号时,产生显著为负的市场反应;当政策传递出引导房地产市场发展的信号时,产生显著为正的市场反应;市场反应为正或负的政策对房地产市场的影响程度总体上没有显著差异。研究还表明,政策频发能够取得较好的调控效果,但过分密集的政策会因为和前次政策间隔时间过短而使政策效应受阻。     

论企业人力资本投资风险

一、人力资本的内涵界定人力资本(HumanCapital)的涵义可从内容和形成两个方面去界定。从内容角度去界定人力资本涵义的学者比较关注人力资本的所包涵内容,认为人力资本是劳动者所拥有的知识、技能、体力或健康及其所表现出的劳动能力等的总和,是经济增长的主要因素,其主要代表     

A customized market response model: Development,estimation, and empirical testing

A customized, stepwise, log-linear, distributed lag, restricted market response model is proposed to estimate the effects of various elements of promotion expenditures on sales in the presence of potentially significant effects due to trend and/or seasonality when using time-series data. As distinct from standardized software packages, the customization offers management several benefits: (a) an (optional) imposition of prior restrictions on the directions of the coefficient variables; (b) an empirical determination of the lag structure for selected variables; (c) the detrending of the data to allow for the assessment of incremental marketing mix effects above trend; and (d) a simplified sensitivity analysis. The model is empirically tested and validated using sales data for a brand where the impact of several marketing mix variables is estimated and investigated via policy simulations. A comparison of these results with those obtained from a corresponding unrestricted model illustrates the advantages of this approach. Finally, the limitations of this procedure and directions for future research are discussed.     

Impact of foreign prices and interest rates on canadian economy under alternative monetary and exchange rate regimes

The main objective of this paper is to analyze the impact of U.S. short- and long-term monetary policy under both flexible and managed floating systems, using the new CANDIDE Model 2.0. We have also examined the role of domestic monetary policy in the Canadian economy under both fixed and flexible exchange rate systems. The following are some of the important findings of our study:

1. Our results support the traditional view that under the fixed exchange rate regime, monetary authorities cannot successfully pursue an independent monetary policy from its trading partners — an effort to increase money supply will be almost offset by increases in the balance of payments deficit. In contrast, in the flexible exchange rate regime, monetary policy is more effective in producing an increased growth in output and employment. However the increased output growth comes at the cost of higher prices induced by increased wages and a depreciation of the Canadian dollar.
2. Our results suggest that the impact of U.S. interest rates on investment, GNE, employment, productivity, and government debt is less severe in a pure floating exchange rate regime, compared to the managed floating system. However, the impact of U.S. interest rate policy on the Canadian inflation rate is worse in the case of flexible exchange rate regime. Even though real income and inflation are less favourable in both cases, our results indicate a trade-off between output growth and inflation.
3. Our results imply that under a pure floating monetary authorities can determine the long-run rate of inflation in Canada independent of others. However, the United States and Canadian economies are interrelated during the adjustment process, even under the flexible exchange rates, through the terms of trade and the wage-price spiral channels.

     

Modeling inflation-induced adaptive behaviors

Predicting consumers' responses to inflationary pressures has been a dominant research area in psychology, economics, and marketing. The present study attempts to model consumers' inflation-induced adaptive behavior using demographic, shopping patterns, and attitudes as predictors. Also, the present study is not limited to purchase behaviors. Rather, inflation-induced adaptive behaviors are examined for the purchase, preparation, and consumption of necessity goods (food items) involving a relatively low expenditure per purchase but a relatively high annual expenditure.