The role of time perspective in predicting Iranian farmers’ participatory-based water conservation attitude and behavior

ABSTRACT

In current perspective, farmers’ participatory behavior toward conservation of water resources (FPBCWR) is one of the most important strategies under water resource management in rural Iran. In this regard, understanding the predictors of farmers’ participatory-based water conservation behaviors and attitudes is gaining more importance than earlier. Among different dimensions of farmers’ participatory behavior, the potential of temporal frames was examined rarely. Thus, 322 Iranian farmers were investigated to examine the potential of their time perspectives in predicting their participatory-based water conservation behavior and attitude. According to the study results, the effects of present orientation on attitude and behavior were negatively significant, while the effects of future orientation on attitude and behavior were positively significant, whereas its effects (path coefficients) were stronger than present orientation effects. Past orientation did not have a significant effect on attitude, though attitude positively and significantly affected farmers’ participatory behavior. The results of causal analysis revealed that presented model accounted for 58% of variance in farmers’ ‘behavior’ and 42% of variance in “attitude.” In conclusion, a few demonstrable illustrations of policy implications are presented to enable utilizing the important findings and concluding results of this study that is linked further with water resource management domain.     

Developing a measure of contentment in an Arab Muslim country: implications for cross-cultural research in social work

This is one in a series of papers that report on a programme of research focusing on the psychosocial consequences of Kuwaitis in the wake of the 1990 invasion and occupation by Iraq. The research team chose to focus on contentment as the obverse of trauma effects and develop a new measure that more closely represents Kuwait society due to cultural sensitivity. The paper briefly discusses the programme of research and the need for a new measure of Kuwaiti contentment. The Kuwaiti Raha Scale (KRS), was developed to serve as the primary dependent variable for a post-war national survey of mental health in Kuwait. The KRS emerged from a multi-method approach first administered to a convenience sample of 560 undergraduate university students enrolled in eight different classes. The results reported here note that no differences were found according to the variable of gender, as was expected. Four factors emerged, with Cronbach's Alphas ranging from 0.850 to 0.709 after eliminating three items. The total twenty-eight-item KRS measure yielded a Cronbach's Alpha of 0.906. Conclusions: The present findings suggest that the four subscales are a psychometrically sound measure of contentment, and would be useful in studies of Arabic-speaking cultures by social workers, and other investigators, concerned about culture-based well-being. Implications for European social professions are discussed.     

Testing Normality Using Transformed Data

In this article, we first present a characterization of the normal distribution and then we introduce an exact goodness of fit test for normal distribution. The power of the proposed test under various alternatives is compared with the existing tests, by simulation.     

General treatment of goodness-of-fit tests based on Kullback–Leibler information

This paper introduces a general goodness-of-fit test based on the estimated Kullback–Leibler information. The test uses the Vasicek entropy estimate. Two special cases of the test for location–scale and shape families are discussed. The results are used to introduce goodness-of-fit tests for the uniform, Laplace, Weibull and beta distributions. The critical values and powers for some alternatives are obtained by simulation.     

The impact of short-term exposure to ambient air pollution on test scores in Iran

Population and Environment - Air pollution in urban centers has become a key public concern around the world. Apart from its adverse health effects, air pollution could impact less visible outcomes...     

Goodness-of-Fit Tests Based on Correcting Moments of Entropy Estimators

In this article, we consider the entropy estimator introduced by Alizadeh Noughabi and Arghami (2010) and derive the nonparametric distribution function corresponding to our estimator as a piece-wise uniform distribution. We use the results to introduce goodness-of-fit tests for the normal and the exponential distributions. The critical values and powers for some alternatives are obtained by simulation. The powers of the proposed tests under various alternatives are compared with the competitors.     

On ridge parameter estimators under stochastic subspace hypothesis

This paper considers several estimators for estimating the restricted ridge parameter estimators. A simulation study has been conducted to compare the performance of these estimators. Based on the simulation study we found that, increasing the correlation between the independent variables has positive effect on the mean square error (MSE). However, increasing the value of ρ has negative effect on MSE. When the sample size increases, the MSE decreases even when the correlation between the independent variables is large. Two real life examples have been considered to illustrate the performance of the estimators.     

Estimation from Burr type XII distribution using progressive first-failure censored data

In this paper, a new life test plan called a progressively first-failure-censoring scheme introduced by Wu and Ku? [On estimation based on progressive first-failure-censored sampling, Comput. Statist. Data Anal. 53(10) (2009), pp. 3659–3670] is considered. Based on this type of censoring, the maximum likelihood (ML) and Bayes estimates for some survival time parameters namely reliability and hazard functions, as well as the parameters of the Burr-XII distribution are obtained. The Bayes estimators relative to both the symmetric and asymmetric loss functions are discussed. We use the conjugate prior for the one-shape parameter and discrete prior for the other parameter. Exact and approximate confidence intervals with the exact confidence region for the two-shape parameters are derived. A numerical example using the real data set is provided to illustrate the proposed estimation methods developed here. The ML and the different Bayes estimates are compared via a Monte Carlo simulation study.     

Performance of spare parts supply chains in developing industries

Spare parts supply chains of manufacturing equipment in developing industries such as the Saudi manufacturing sector often operate in one direction. Importing production machinery and setups to run such developing industries, from more developed industrial countries, sway the flow of spare supplies upstream. Based on empirical data collected from 210 local manufacturing firms, this study characterises and models such supply chains. The effects of supplier proximity, diversity and time lag on spare parts supply chain performance were explained using structural equation modelling. Delivery time lag and supplier diversity increased the deficiency of spare parts availability. Opposite to earlier consensus found in the literature, the impact of supplier proximity on spare parts supply chain performance was insignificant. Recent improvements in the agility and capacity of logistical services might have diminished the influence of supplier remoteness. However, supplier proximity correlated with supplier diversity in such supply chains.