Nonpoint Source Pollution Control under Incomplete and Costly Information

We analyze the efficient management of nonpoint source pollution (NPS) under a limited pollution control budget and incomplete information. We focus on the tradeoff between data collection and pollution abatement efforts by incorporating information acquisition into a NPS pollution control model. Comparative static results show conditions under which (i) a favorable change in the abatement costs at one source may lead to an increase in the treatment level at all sources, and vice versa, (ii) an increase in data collection cost leads to an increase in data collection level, and (iii) an increase in the efficiency of information acquisition leads to a decrease in the level of data collection. More importantly, the model simulations illustrate that acquiring and exploiting information on heterogeneity of sediment loading distributions across polluting sources leads to a more efficient budget allocation and hence a greater reduction in pollution damage than would be the case without such information.     

Erratum on “Optimal inventory control of empty containers in inland transportation system” [Int. J. Prod. Econ. 133(1) (2011) 451–457]

This paper points out some flaws in the simulation model presented by Yun et al. [2011. Optimal inventory control of empty containers in inland transportation system. International Journal of Production Economics 133 (1), 451–457]. Some of the formulae for inventory level and ordering quantity have errors which are corrected in this note.     

Persistence,seasonality and trend in the UK egg production

This paper discusses the time-series properties of UK egg production in order to provide an empirical analysis of the possible long-run impact of the shock on the industry following the recent incidence of salmonella poisoning. Our analysis shows that although the short-run properties of the UK egg production are consistent with the presence of persistent shocks, a shock duration is unlikely to have large long run efefcts. This result is remarkably robust to the choice of the persistence measure obtained.     

An application of IDEA to wheat farming efficiency

Data Envelopment Analysis (DEA) is a nonparametric approach to evaluating the relative efficiency of decision making units (DMUs) that use multiple inputs to produce multiple outputs. An assumption underlying DEA is that all the data assume the form of specific numerical values. In some applications, however, the data may be imprecise. That is, all the input and output data cannot be exactly obtained due to the existence of uncertainty. They are only known to lie within specified intervals. A DEA model with imprecise data or, more compactly, an Imprecise DEA (IDEA) model proposed in this article to evaluate efficiency for each DMU. The article is illustrated with an application to Iranian wheat producer provinces.     

Sustainability,Optimality, and Development Policy

Considering sustainability a matter of intergenerational welfare equity, this paper examines whether an optimal development path can also be sustainable. It argues that the general “zero‐net‐aggregate‐investment” condition for an optimal development path to be sustainable in the sense of the maximin criterion of intergenerational justice is too demanding to be practical, especially in the context of developing countries. It further argues that while the maximin criterion of sustainability may be appealing to the rich advanced industrial countries, for the poor developing countries it implies equalization of poverty across generations, and as such is too costly a moral obligation to be acceptable. The paper suggests that a compromise development policy that follows the optimal growth approach but adopts certain measures to mitigate both the intergenerational and intragenerational welfare inequalities may be more appropriate for these countries. Some of the principal elements of such a policy are highlighted.     

What is a farecard worth?

In this paper wer use the duality approach to demand theory to evaluate the value to a consumer of a farecard which allows travel at zero marginal pecuniary cost. The analysis is extended to networks with two modes of travel (bus and underground).Illustrative figures are calculated for farecards on the London Transport network.     

US Economic Sanctions Against China: Who Gets Hurt?

The United States maintains a broad spectrum of economic sanctions against China ranging from export controls to prohibitions on certain imports. Our study finds that, although from a macroeconomic perspective, US sanctions have had no significant adverse effect on China's overall economic growth and trade between the two countries, they do have a negative impact on producers and consumers in both countries. US economic sanctions have hindered technology transfer to China and US investment in China. US restrictions on imports from China have caused deadweight losses for the US due to higher domestic production costs for import substitutes and a reduction in consumption. US export controls have hindered US exports to China and contributed to large US trade deficits with China. The export controls have also caused losses of high‐paid jobs in the United States and benefited competitors from other countries. In addition, US economic sanctions against China have had significant third‐party effects. China's diversification of imports to sources other than the United States may have a long‐term effect on US exports to China even after US economic sanctions against China are lifted.     

Impact of Perceived Security on Trust,Perceived Risk,and Acceptance of Online Banking in Iran

This study examines the relationship between perceived security and acceptance of online banking with the mediating effect of perceived risk and trust in Internet banking in Iranian customers. Researchers used structural equations model (SEM) to examine their hypotheses and conceptual model. Statistical data were gathered via a questionnaire from 395 randomly selected customers of Bank Saderat Iran in Semnan. Cronbach’s alpha and internal compatibility were used to check the reliability of the questionnaire. The justifiability of the research variables was checked and confirmed using the first- and second-order confirmatory factor analysis. According to the SEM results, the variables of perceived security and trust in Internet banking had a significantly positive impact on the acceptance of online banking. Although perceived risk had no significant impact on the acceptance of online banking, the results showed that perceived risk had a significantly negative impact on trust in Internet banking.     

Limited-dependent rational expectations models with future expectations

This paper examines limited-dependent rational expectations (LD-RE) models containing future expectations of the dependent variable. Limited dependence is of a two-limit tobit variety which may, for example, arise as a result of a policy of imposing limits on the movement of the dependent variable by means of marginal as well as intramarginal interventions. We show that when the forcing variables are serially independent the model has an analytical solution which can be computed by backward recursion. With serially correlated forcing variables, we discuss an approximate solution method, as well as a numerically exact method that, in principle, can be implemented by stochastic simulation, although in practice it is limited by available computational capacity. The paper discusses some properties of the approximate solutions and reports the results of a limited number of Monte Carlo experiments in order to illustrate the computational feasibility of using the exact solution when the fundamentals are serially independent and the approximate solution when they are serially correlated.