Impact of Financial Development on the Environmental Quality in Iran

In recent decades, undesirable environmental changes, such as global warming and greenhouse gases emission, have raised worldwide concerns. In order to achieve higher growth rate, environmental problems emerged from economic activities have turned into a controversial issue. The aim of this study is to investigate the effect of financial development on environmental quality in Iran. For this purpose, the statistical data over the period from 1970 to 2011 were used. Also by using the Auto Regression Model Distributed Lag （ARDL）, short-term and long-term relationships among the variables of model were estimated and analyzed. The results show that financial development accelerates the degradation of the environment; however, the increase in trade openness reduces the damage to environment in Iran. Error correction coefficient shows that in each period, 53% of imbalances would be justified and will approach their long-run procedure. Structural stability tests show that the estimated coefficients were stable over the period.     

Scale Efficiency in the New Zealand Dairy Industry: a Non-parametric Approach

The aim in this article is to measure the scale efficiency of the New Zealand dairy industry and to examine the relationship between farm size and technical efficiency. Data envelopment analysis (DEA) is applied to a sample of 264 dairy farms. The results suggest that 19 per cent of these farms are operating at optimal scale, 28 per cent at above optimal scale, and 53 per cent at below optimal scale. On average, the optimal size for New Zealand dairy farms is estimated at 83 hectares with a herd of 260 animals. Average technical efficiency is estimated at 89 per cent.     

Mixture of MLP-experts for trend forecasting of time series: A case study of the Tehran stock exchange

A new method for forecasting the trend of time series, based on mixture of MLP experts, is presented. In this paper, three neural network combining methods and an Adaptive Network-Based Fuzzy Inference System (ANFIS) are applied to trend forecasting in the Tehran stock exchange. There are two experiments in this study. In experiment I, the time series data are the Kharg petrochemical company’s daily closing prices on the Tehran stock exchange. In this case study, which considers different schemes for forecasting the trend of the time series, the recognition rates are 75.97%, 77.13% and 81.64% for stacked generalization, modified stacked generalization and ANFIS, respectively. Using the mixture of MLP experts (ME) scheme, the recognition rate is strongly increased to 86.35%. A gain and loss analysis is also used, showing the relative forecasting success of the ME method with and without rejection criteria, compared to a simple buy and hold approach. In experiment II, the time series data are the daily closing prices of 37 companies on the Tehran stock exchange. This experiment is conducted to verify the results of experiment I and to show the efficiency of the ME method compared to stacked generalization, modified stacked generalization and ANFIS.     

A TEST OF THE RISK PREMIUM HYPOTHESIS

Contrary to economic theory, there is international evidence that common stock returns and inflation are negatively related. This negative relationship is examined in this paper and the applicability of the risk premium hypothesis is tested. According to this hypothesis, an increase in unanticipated inflation causes the market risk premium to rise, which in turn lowers current stock prices. A model is developed and the effect of uncertain inflation on the market risk premium across four countries is tested empirically. Results indicate that the market risk premium is positively related to uncertain inflation.     

Buffett’s alpha: further explanations from a behavioral value investing perspective

Warren Buffett has had extraordinary success as an investor, but there is no agreement as to why. Some academic researchers attribute his performance to mere luck. Frazzini et al. (Financ Anal J 74(4):35–55, 2018), concluded that his alpha is due to leveraging safe, high-quality, and cheap stocks. However, there has been no analysis to date of Buffett’s performance from a behavioral perspective. We argue that Buffett’s success is partly due to qualitative and psychological factors, including tenacity, patience, avoidance of overconfidence, organizational culture, and the reputation effect. Using information from shareholder letters, writings, interviews, and speeches by Buffett and his colleague Charlie Munger, we demonstrate how such psychological factors, together with the quantitative findings of Frazzini et al., render a more complete and satisfying explanation of Buffett’s alpha.

     

Examining Organic Food Purchases and Preferences Within Jordan

Continuing economic development in Jordan provides potential food marketing opportunities as a new group of prospective value-added food product consumers emerges. The growing demand for high-value foods such as organically produced items also provides a new potential value-added market for Jordanian farmers. No studies to our knowledge have examined consumer preferences toward organic food items within Jordan. This study provides an initial attempt to fill this knowledge gap by examining the market for organic food items from a demand perspective in order to increase the knowledge available to Jordanian farmers, food processors, and retailers.     

Economic Targeting of Agricultural Beneficial Management Practices to Address Phosphorus Runoff in Manitoba

The mechanisms used to deliver agricultural beneficial management practices (BMPs) can influence the performance of these policies. Research has suggested that agri‐environmental instruments targeted based on specific economic or environmental characteristics can improve policy performance. Using a case study approach, we evaluate the relative performance of different mechanisms to target subsidized water retention pond BMPs to reduce phosphorus (P) runoff in an agriculture dominated subwatershed within the Lake Winnipeg watershed in southern Manitoba. The water retention pond BMPs were targeted based on estimated establishment costs (cost targeting), total phosphorus removal from surface water (benefit targeting), and pond‐specific benefit–cost ratios. The targeting was simulated using predictions of retention pond‐specific P removal from an adapted hydrology model and site‐specific pond construction and land opportunity costs assembled in a geographic information system database. Targeting of water retention pond BMPs has an impact on the cost effectiveness of the policy delivery with benefit–cost targeting being the most cost‐effective approach. Water retention ponds providing higher P removal at lower cost were smaller in size and on land previously used for the production of lower value crops. Le ciblage économique des pratiques de gestion bénéfiques en agriculture pour remédier au ruissellement du phosphore au Manitoba Les mécanismes utilisés pour livrer des pratiques de gestion bénéfiques (PGB) peuvent influencer la performance de ces politiques. Des études suggèrent que le ciblage d'instruments agroenvironnementaux basé sur des caractéristiques économiques ou environnementales précises peut améliorer la performance des politiques. Au moyen d'études de cas, nous évaluons la performance relative de divers mécanismes pour cibler les PGB des bassins de rétention d'eau subventionnés pour réduire le ruissellement de phosphore (P) dans un sous‐bassin du bassin du Lac Winnipeg au sud du Manitoba. Les PGB du bassin de rétention des eaux ont été ciblées en fonction des coûts estimés d'établissement (ciblage des coûts), de l′élimination totale du phosphore de la surface de l'eau (ciblage des bénéfices), et des ratios avantages‐coûts liés au bassin. Le ciblage fut simulé au moyen de prédictions du taux de suppression de P spécifique à chaque bassin de rétention obtenues à partir d'une adaptation d'un modèle hydrologique et d'une base de données d'un système d'information géographique (SIG) contenant les sites de chaque bassin de rétention et le coût d'opportunité du terrain. Le ciblage des PGB des bassins de rétention d'eau a un impact sur la rentabilité de la mise en ?uvre de politiques, le ciblage coût‐avantages étant l'approche la plus rentable. Les bassins de rétention d'eau ayant le plus haut taux d'élimination de P à moindre coût s'avéraient plus petits et sur des terrains ayant servi, auparavant, à la production de cultures de moindre valeur.     

Information technology and firm performance: mediation role of absorptive capacity and corporate entrepreneurship in manufacturing SMEs

ABSTRACT

The success of small and medium-sized enterprises (SMEs) depends on dynamic capabilities, as it provides opportunities to remain competitive and perform well in the dynamic business environment. Although several studies show the significant positive impacts of dynamic capabilities on firm performance, our knowledge of the underlying mechanism through which IT capabilities affect the firm performance is not yet clear. Applying the dynamic capability view, this study investigates the intervening role of absorptive capacity and corporate entrepreneurship. The data of 417 respondents is collected from medium-sized manufacturing sector SMEs in Punjab, Pakistan. The research hypotheses have been analysed through the structural equation modelling method by using the Smart-PLS software. The research findings show that absorptive capacity and corporate entrepreneurship partially mediates the relationship between IT capabilities and firm performance. Furthermore, the sequential path of IT technical skills, absorptive capacity, corporate entrepreneurship, and firm performance is highly significant as compared to other paths.