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.     

New empirical evidence on the bid-ask spread

In this article, we model the determinants of spread for 734 firms listed on the NYSE over the period 1 January 1998 to 31 December 2008. We propose a panel data model of the determinants of spread. There are four main messages emerging from our work. We find a statistically significant effect of volume on spread inconsistent with the work of Johnson (2008). On price, we find mixed results, consistent with the literature. On the effect of price volatility on spread, our results are completely the opposite of the cross-sectional literature but sides with the relatively recent work of Chordia et al. (2001). We allow for persistence of spread as a determinant of spread and find significant evidence of spread persistence across all 16 sectors. Finally, we examine size effects and find statistically strong evidence of size effects based on the relationship between price and spread, persistence and spread, and volatility and spread.     

THE RELATIVE INCOME HYPOTHESIS-A CROSS COUNTRY ANALYSIS

This paper presents an attempt to examine the applicability of the relative income hypothesis (RIH) in terms of its various specifications proposed by Duesenberry, Duesenberry, Eckstein and Fromm (DEF), Davis and the authors (MD). Using the time series data for 1951 through 1968 the analysis has been carried out for Canada, Finland, Guatemala, Honduras, India, Japan, Philippines, Sweden, United Kingdom and the United States. It is found that RIH provides a fairly good representation of the consumption behaviour of all the countries included in the study. All specifications, however, do not perform equally well. DEF and Davis functions score the maximum points; MD comes at par with DEF in case of Finland, Guatemala, and India. The original Duesenberry specification performs very poorly. This leads us to conclude that the process of habit formation is continuous contrary to what is implied by Duesenberry's original specification and that consumption is a better indicator of the standard of living than income is. Estimates of the long-run marginal propensities to consume are essentially the same as those computed from the permanent income hypothesis by Singh and Drost [1970]. This lends support to the view that the two hypotheses have essentially the same long-run implications.     

Determinants of Female Fertility in Taiwan, 1966–2001: Empirical Evidence from Cointegration and Variance Decomposition Analysis*

This study investigates the determinants of the fertility rate in Taiwan over the period 1966–2001. Consistent with theory, the key explanatory variables in Taiwan's fertility model are real income, infant mortality rate, female education and female labor force participation rate. The test for cointegration is based on the recently developed bounds testing procedure while the long‐run and short‐run elasticities are based on the autoregressive distributed lag model. Among our key results, female education and female labor force participation rate are found to be the key determinants of fertility in Taiwan in the long run. The variance decom‐position analysis indicates that in the long run approximately 45percent of the variation in fertility is explained by the combined impact of female labor force participation, mortality and income, implying that socioeconomic development played an important role in the fertility transition in Taiwan. This result is consistent with the traditional structural hypothesis.     

ECONOMIC IMPORTANCE OF THE SUGAR INDUSTRY FOR FIJI

For more than a century, the sugar industry has been perceived as the backbone of the Fijian economy, given its contributions to gross domestic product (GDP) and employment generation. However, because of the non-renewal of land leases and the gradual withdrawal of preferential prices by the European Union, the industry is on the verge of collapse. We use the Fiji computable general equilibrium model to simulate the economy-wide impact of a 30% reduction in sugar production. Among our key results, we find that in the long run a 30% reduction in sugar production leads to a 2.1% fall in exports, and government expenditure and real consumption fall by 1.9% and 1.6%, respectively. These declines in the aggregate demand components are reflected in a fall of approximately 1.8% in Fiji's GDP. The negative repercussion of declining economic growth is reflected in a 1.5% decline in real national welfare.     

A comparative analysis of differential consumer response across supermarket and specialty store in the candy category

Retailing industry has undergone tremendous change in its complexity and sophistication over the past few years. Globally we are witnessing the evolution of retailing industry from traditionally micro-managed small retail formats like mom and pop store to modern corporate-managed large retail formats like supermarkets. Consumers are also shopping across these various store formats even for the products in similar categories. In this research, we posit that consumer purchases in the similar categories may very well be characterized by differential responses to marketing mix across different store formats. The proposed model accounts for the influences that these diverse response parameters and preferences have on one another as well as consumer heterogeneity. Our results show that sensitivities to marketing mix as well as correlations in preferences do indeed vary across formats for consumer purchases in similar categories.     

The J‐Curve: Evidence from Fiji*

This article provides new evidence on both long run and short‐run determinants of trade balance for Fiji and investigates evidence of J‐curve adjustment behaviour in the aftermath of a devaluation. We adopt a partial reduced form model that models the real trade balance directly as a function of the real exchange rate and real domestic and foreign incomes. Cointegration analysis is based on a recently developed autoregressive distributed lag approach—shown to provide robust results in finite samples. The long run elasticities are also estimated using a dynamic ordinary least squares approach and the Fully Modified Ordinary Least Squares (FM‐OLS) approach. Amongst our key results we find that there is a long‐run relationship between trade balance and its determinants. There is evidence of the J‐curve pattern; growth in domestic income affects Fiji’s trade balance adversely while foreign income improves it.     

A polynomial goal programming approach to a class of quality control problems

The traditional quality control approach based on statistical tools has been very useful and effective when output and input qualities can be denned in terms of a single characteristic. However, in process industries such as paper, the output quality is denned in terms of two or more distinct characteristics; hence, reducing the deviation of one output characteristic from its permissible limits could result in forcing other output and/or input characteristics to deviate from their respective limits. Compounding this phenomenon is the fact that most of these industries produce substantial amounts of pollutants whose characteristics are a function of the input and output characteristics. Thus, with increasing costs of waste treatment and stringent pollution standards, there arises a notion of a trade-off between attaining market specified output characteristics and meeting federally regulated pollution standards.In this article a general process quality control problem has been formulated that reflects the above trade-off both in terms of a linear and a polynomial goal programming problem. Major advantages and differences between the two formulations are highlighted and illustrated with a practical example drawn from the paper industry.Three separate cases each with different priorities assigned to the output, pollutant and input characteristics are developed and solved under both formulations. Based on the analysis it is observed that the different solutions that result are contingent on the assumptions concerning the priorities associated with each goal and the manner by which one chooses to incorporate tradeoffs between goals in the objective function. Additionally, it is found that the solutions obtained under polynomial goal programming formulation are more conducive for implementation in practical quality control contexts.     

Fatal attraction: Using distance to measure contagion in good times as well as bad

This paper proposes a new measure of contagion that is good at anticipating future vulnerabilities. Building on previous work, it uses correlations of equity markets across countries to measure contagion, but in a departure from previous practice measures contagion using the relationship of these correlations with distance. Also in contrast to previous work, our test is good at identifying periods of “positive contagion,” in which capital flows to emerging markets in a herd-like manner largely unrelated to fundamentals. Identifying such periods of “fatal attraction” is important as they provide the essential ingredients for subsequent crises and rapid outflows of capital.