Family networks and school enrolment: Evidence from a randomized social experiment

We present evidence on whether and how a household's behavior is influenced by the presence and characteristics of its extended family. Using data from the PROGRESA program in Mexico, we exploit information on the paternal and maternal surnames of heads and spouses in conjunction with the Spanish naming convention to identify the inter- and intra-generational family links of each household to others in the same village. We then exploit the randomized research design of the PROGRESA evaluation data to identify whether the treatment effects of PROGRESA transfers on secondary school enrolment vary according to the characteristics of extended family. We find PROGRESA only raises secondary enrolment among households that are embedded in a family network. Eligible but isolated households do not respond. The mechanism through which the extended family influences household schooling choices is the redistribution of resources within the family network from eligibles that receive de facto unconditional cash transfers from PROGRESA, towards eligibles on the margin of enrolling children into secondary school.     

Herding behaviour and the declining value relevance of accounting information: evidence from an emerging stock market

This article sheds light on the underlying mechanisms behind the changes in the value relevance of accounting information in the Karachi Stock Exchange (KSE) during the 1999–2010 period. We find that neither changes in earnings quality nor the earnings lack of timeliness hypothesis can explain the decline in the value relevance of accounting information in the KSE. Based on the stylized facts associated with the growth of the KSE and the broader economics literature, we argue that the reduction in the explanatory power of accounting information vis-à-vis stock returns was caused by herding behaviour. Empirical estimates from state-space model of herding behaviour confirm the existence of herding, and we find that the value relevance of accounting information is significantly lower in periods characterized by herding behaviour. This article is also amongst the first attempts to empirically demonstrate that an expansionary monetary policy and increases in foreign portfolio investment lead to increased levels of herding.     

Is television advertising being placed to reach product users?

Several textbooks, journal articles, and advertising practitioners indicate that the advertising for many products should be directed toward the heavy users of the product category. Other works suggest that advertising should be directed at current users of a brand to retain them or to users of competitive brands in an effort to attract them. The purpose of this article is to compare these directions for how advertising should be placed with data showing how advertising is being placed. The comparison is made using supermarket scanner panel data and household advertising exposure data. Examples are also provided to indicate the extent to which advertising could be targeted to heavy users of the product category and users of a brand, given the actual viewing and consumption patterns. Several implications for the placement of advertising are discussed.     

Focusing on white space to improve patient throughput

When designing a new patient care process or modifying an existing one, healthcare leaders should: Set specific goals for frontline staff, Move beyond gathering and discussing data to acting on the data, Issue data reports frequently, Prepare to take advantage of success, Do not expect a silver bullet.     

Tree‐Based Intercropping in Southern Ontario,Canada

Tree‐based intercropping (TBI) integrates tree production within annual grain cropping. The system is widely used in tropical regions, but is not common in temperate regions. This study evaluates the annualized return from TBI systems in southern Ontario, Canada against annual grain crop production. The TBI systems include hybrid poplar, Norway spruce, and red oak. The annualized return for all TBI systems is less than for annual cropping using the base prices; however, when tree prices are high and grain prices low the hybrid poplar TBI system has a higher return than annual cropping. Grants for planting trees, technologies to reduce the cost of establishing and maintaining trees, and improving the returns from tree production will be required for producers in temperate regions to adopt TBI systems. Un système de cultures intercalaires (SCI) intègre la production d’arbres dans la culture annuelle de céréales. Ce système est largement utilisé dans les régions tropicales, mais peu courant dans les régions tempérées. La présente étude évalue le rendement annualisé des SCI dans le sud de l’Ontario, au Canada, par rapport à celui de la production annuelle de céréales. Les SCI intègrent le peuplier hybride, l’épinette de Norvège et le chêne rouge. Le rendement annualisé des SCI est inférieur à celui des cultures annuelles si l’on utilise les prix de référence. Toutefois, lorsque les prix des arbres sont élevés et que les prix des céréales sont faibles, le SCI qui intègre le peuplier hybride obtient un rendement supérieur à celui des cultures annuelles. Pour que les agriculteurs des régions tempérées adoptent les SCI, il faudra offrir des subventions à la plantation d’arbres, offrir des technologies qui permettront de réduire les coûts de plantation et d’entretien des arbres et améliorer les rendements/revenus de la production d’arbres.     

Supplier evaluation in the context of circular economy: A forward step for resilient business and environment concern

Resource depletion is a concern for the global economy; many think that available resources on the planet will not be able to cater to an ever-growing population. Thus, economies are trying to become circular, leaving behind the linear tradition linear approach. In the circular economy (CE), physical resources and energy are made to loop back into the supply chain (SC) for a more extended period. Proper selection of suppliers is an essential criterion towards proper execution of the CE principle in SC. In this research, we have constructed a framework for evaluating the supplier concerning the CE implementation. Further, this research identifies the criterion and sub-criterion, which are pertinent for evaluating the supplier in CE context. Fuzzy-based ‘Criteria Importance Through Inter-Criteria Correlation (CRITIC)’ method is justifiably applied to determine the aggregated weights of the criteria. Finally, ‘Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)’ method is used to determine the suppliers' ranking in the Indian automobile industry. Six criteria and 24 sub-criteria are obtained as per recent literature and then inputs from experts. ‘Environment’ criterion came out as the most favourable criterion with a subjective weight of 0.230. The current research is one of the first such attempts to provide criteria for supplier selection in a CE environment. The developed framework would help organisations in implementing CE-based supplier selection. The identified criteria and sub-criteria would provide organisations with means to evaluate suppliers and help suppliers develop an effective and efficient CE based on the SC.     

Does insurance‐growth nexus hold for Malaysia?

The study investigates the impact of insurance activities on economic growth in Malaysia over the period 1990–2015. Combined cointegration in the presence of identified structural breaks was used to confirm the existence of long‐run relationships among economic growth, insurance activities, human capital, physical capital, and industrial production. The findings indicate feedback effects between insurance activities and economic growth in the long run. The study provides new insights for policymaking to enhance economic growth via insurance activities.     

Future of Ethically Effective Leadership

This research focuses on (a) introducing and exploring ethically effective leadership, (b) introducing and testing theory on triad of typical–maximal–ideal ethically effective leadership performances, (b) theorizing and empirically testing that each of typical–maximal–ideal ethically effective leadership performance is different from each others, in other words exploring mean differences between each pair of typical–maximal–ideal effective leadership performances, (c) introducing, theorizing, and testing mechanism to quantify respondents’ intrinsic desire and inherent potential to enhance their ethically effective leadership performances, (d) exploring precedents of each of typical–maximal–ideal ethically effective leadership performances, and finally (e) exploring bases and feasibility of virtual, robotic, and mixed reality ethically effective leadership that may or may not be same as conventional ethically effective leadership. This paper explores global leadership aspect of ethically effective leadership performance at three data collection levels (via typical, maximal, and ideal effective leadership performances) adding precision to assessment of ethically effective leadership and resolving an important challenge (precise assessment) to ethical leadership development. It explores respondents’ typical ethically effective leadership performance E_T, their maximal ethically effective leadership performance E_M, and their ideal ethically effective leadership performance E_I. It presents non-western perspectives on ethically effective leadership disregarding homogenization of leadership behavior. It advances our insight into ethical leadership development by empirically identifying presence, direction and magnitude of respondents’ (a) intrinsic desire and (b) existing intrinsic potential for alteration of their ethically effective leadership. Means of typical ethically effective leadership performance E_T, maximal ethically effective leadership performance E_M, and ideal ethically effective leadership performance E_I are distinct. Typical ethically effective leadership performance E_T is positively associated with maximal ethically effective leadership performance E_M and ideal ethically effective leadership performance E_I. This article concludes that the selected leaders report their ideal ethically effective leadership performance E_I to be higher than their typical ethically effective leadership performance E_T and maximal ethically effective leadership performance E_M depicting significant intrinsic desire for 14 % enhancing their ethically effective leadership performance. Respondents have significant existing intrinsic potential for 10 % enhancing their ethically effective leadership performance. Regression constants for regression models for typical ethically effective leadership performance E_T, maximal ethically effective leadership performance E_M and ideal ethically effective leadership performance E_I are significant depicting that the researchers have to look for other variables to fully explain variance in typical ethically effective leadership performance E_T, maximal ethically effective leadership performance E_M and ideal ethically effective leadership performance E_I. Regression coefficient of typical ethically effective leadership performance E_T is significant in model for ideal ethically effective leadership performance E_I as well as maximal ethically effective leadership performance E_M and vice versa. So, the paper suggests that training strategies may be feasible to alter typical ethically effective leadership performance E_T and maximal ethically effective leadership performance E_M in such a way as to bring it closer to ideal ethically effective leadership performance E_I but for this, researchers have to look for other variables too.     

Conflicting Bifuzzy Multi-attribute Group Decision Making Model with Application to Flood Control Project

We propose a group decision making model based on conflicting bifuzzy sets (CBFS) where evaluation are bi-valued in accordance to the subjective assessment obtained from the experts for the positive and negative views. This paper discusses the weighting methods for particular attribute and subattribute with emphasis given to the unification of subjective and objective weights. The integration of CBFS in the model is naturally done by extending the fuzzy evaluation in parallel with the intuitionistic fuzzy. We introduce a new technique to compute the similarity measure, being the degree of agreement between the experts. We end up the paper by demonstrating the applicability of the proposed model to the empirical case of flood control project, one of the project selection problems.     

Consumer heterogeneity in the longer-term effects of price promotions

While a significant literature has emerged recently on the longer-term effects of price promotions, as inferred from persistence models, there is very little if any attention paid to whether such longer-term effects vary across different types of consumers. This paper takes a first step in that direction by exploring whether the adjustment, permanent, and total effects of price promotions, and the duration of the adjustment period, differ between consumers segmented based on their usage rates in a product category and their loyalty to a brand. We also investigate whether such consumer segmentation will improve the forecasting performance of persistence models at both product category and brand levels. Expectations are developed based on consumer behavior theory on various effects of price promotions, such as the post-deal trough, the mere purchase effect, the promotion usage effect, and responsiveness to competitor's reactions. Evidence from household-level supermarket scanner data on four product categories is provided. We find substantial differences between consumer segments and provide insights on how managers can increase the longer-term effectiveness of price promotions by targeting each consumer segment with a different promotion program. In addition, consumer segmentation is found to significantly improve the forecasting performance of the persistence model for two of the four product categories. For the other two product categories, consumer segmentation provides forecasting performance similar to that obtained from aggregate-level persistence models.