Land use optimization in watershed scale

Managing a watershed for satisfying the inhabitant's demand is a difficult task if one has to maintain a reasonable balance between usually conflicting environmental flows and demands. The solution to these complex issues requires the use of mathematical techniques to take into account conflicting objectives. Many optimization models exist for general management systems but there is a knowledge gap in linking practical problems with the optimum use of all land resources under conflicting demands in a watershed. In the present study, an optimization problem has been formulated for the Brimvand watershed, Iran, comprising ca. 9572 ha to find out the most suitable land allocation to different land uses, viz. orchard, irrigated farming, dry farming and rangeland targeting soil erosion minimization and benefit maximization.     

MODELLING THE ADAPTATION OF BUSINESS CONTINUITY PLANNING BY BUSINESSES USING NEURAL NETWORKS

Business continuity planning is an important element of business continuity management and is regarded as a fundamental step towards reducing the negative impacts of business disruptions caused by internal and external hazardous events. Many businesses are not prepared for such events, and very few studies have tried to examine and model the factors that contribute to business continuity management planning by various companies. In this paper we propose and develop a feed‐forward neural network for modelling businesses continuity planning by businesses based on a dataset of 283 businesses operating in the Greater Toronto Area in Ontario, Canada. The fully connected neural network applied was trained on 65 % of the dataset records using different subsets of input variables. In order to preserve the generalization ability of the trained network, 15 % of the dataset records were used as a validation set for early stopping during the network's training process. Prediction capability of the trained networks was evaluated on 20 % and never‐seen records of the dataset. The classification ability of the networks was then analysed using receiver operating characteristic and detection error trade‐off curves, where the results obtained were promising. The equal error rate for the best models was 12 %, which reflects a very good accuracy of these models in predicting the existence of business continuity planning for a generic company. Copyright © 2011 John Wiley & Sons, Ltd.     

Estimating the cost of equity for private firms using accounting fundamentals

Finance literature suggests the use of the Accounting Beta (BACC) as a proxy for the Capital Asset Pricing Model (CAPM) market beta to estimate the cost of equity capital when the stock price is not available. Previous researchers have aimed to achieve this objective by determining the correlation between accounting variables and the market beta. However, the magnitude of the resulting error in this correlation has remained unknown. The current study is an attempt to test the performance of the BACC as a proxy measure for the market risk and to examine the extent of the statistical error in the correlation between these two measures. Our findings indicate that BACC overestimates the market beta by between 20% and 50%. Applying some corrective measures, such as operational earnings scaled by equity, may lessen this difference to a range of 22%–25%; however, it does not eliminate the error. Our output also suggests that the BACC might be biased when used to assess the risk of small firms.     

Measurement of Satisfaction with ICT Services Implementation and Innovation in Restaurants (Case Study: Isfahan,Iran)

Nowadays, Restaurant is one of the most important factors in the choice of holiday destinations for tourists and contributes to the development of the local economy. This research is an initial attempt to investigate consumer behavior (tourist behavior) and the attitude of restaurant managers to the application of innovation and information and communication technology (ICT) in hotel restaurants. On the basis of the results of this study it can be concluded that tourists and restaurant managers in the city of Isfahan are interested in exploiting the application of innovation and ICT in hotel restaurants.     

Energy productivity and greenhouse gas emission intensity in Dutch dairy farms: A Hicks–Moorsteen by-production approach under non-convexity and convexity with equivalence results

The agricultural sector is currently confronted with the challenge to reduce greenhouse gas (GHG) emissions, whilst maintaining or increasing production. Energy-saving technologies are often proposed as a partial solution, but the evidence on their ability to reduce GHG emissions remains mixed. Production economics provides methodological tools to analyse the nexus of agricultural production, energy use and GHG emissions. Convexity is predominantly maintained in agricultural production economics, despite various theoretical and empirical reasons to question it. Employing non-convex and convex frontier frameworks, this contribution evaluates energy productivity change (the ratio of aggregate output change to energy use change) and GHG emission intensity change (the ratio of GHG emission change to polluting input change) using Hicks-Moorsteen productivity formulations. We consider GHG emissions as by-products of the production process by using a multi-equation model. Given our empirical specification, non-convex and convex Hicks-Moorsteen indices can coincide under certain circumstances, which leads to a series of theoretical equivalence results. The empirical application focuses on 1,510 observations of Dutch dairy farms for the period of 2010–2019. The results show a positive association between energy productivity change and GHG emission intensity change, which calls into question the potential of on-farm, energy-efficiency-increasing measures to reduce GHG emission intensity.     

The application of proxy methods for estimating the cost of equity for unlisted companies: evidence from listed firms

Review of Quantitative Finance and Accounting - The Campbell and Vuolteenaho (Am Econ Rev 94(5):1249–1275, 2004) two–beta model decomposes the systematic risk in the sensitivity of cash...     

Testing the Olson Hypothesis within the Australian Context

This article seeks to empirically test whether the Olson hypothesis is applicable in the Australian context. Both cointegration and regression analyses which are utilised for this purpose provide strong support for this hypothesis; that is, the existence of a statistically significant negative relationship between import protection and the proportion of manufactured goods exported. More specifically, it is revealed that falling levels of import protection have underpinned an increase in the proportion of manufacturing goods exported and hence assisted in improving the manufacturing sector's export orientation in the period 1980:1–1996:2. A particularly important dimension of the empirical results is the strengthening of this relationship in the more recent years to 1996:2. This phenomenon probably indicates the favourable impact of the accumulated reduction in the protection levels since the early 1970s.     

Identifying contextual effective factors on total fertility rate decline in Iran: a qualitative framework-based study

This study was conducted to explain the contextual factors associated with total fertility rate (TFR) decline to help policymakers. A qualitative approach and Leichter contextual analysis framework were applied to conduct this study. The participants were selected using purposive sampling method, and also the interviews continued until data saturation was reached. Individuals with knowledge and perspectives on population policies were included in the study to improve the research credibility. The data validity was achieved by applying the maximum variety in selecting the sample. The results were classified into four groups, including situational, structural, cultural, and environmental factors. Situational factors included political sanctions, drought, and road accidents. Structural factors involved government policies, the absence of monitoring, paying no attention to the required conditions, housing status, employment status, economic status, and other issues. Cultural factors were classified into the seven categories, including divorce, socio-economic development, women's employment, marriage age, urbanization, and other issues and factors included international treaties, and the western influence. Policymakers and administrators in the field of demographic policies can make more accurate strategies to increase TFR by recognizing the causes that reduce fertility with the help of providing the possibility to understand better the factors affecting the TFR decline.

     

Hierarchical models for independence structures of networks

We introduce a new family of network models, called hierarchical network models, that allow us to represent in an explicit manner the stochastic dependence among the dyads (random ties) of the network. In particular, each member of this family can be associated with a graphical model defining conditional independence clauses among the dyads of the network, called the dependency graph. Every network model with dyadic independence assumption can be generalized to construct members of this new family. Using this new framework, we generalize the Erdös–Rényi and the β models to create hierarchical Erdös–Rényi and β models. We describe various methods for parameter estimation, as well as simulation studies for models with sparse dependency graphs.