How family influence,socioemotional wealth,and competitive conditions shape new technology adoption

Research summary : In family businesses, investment decisions often involve both socioemotional wealth and economic considerations. Focusing on new technology adoption, we argue that multiple dimensions of socioemotional wealth contribute to complex effects within different types of family firms—depending on the level of family control—as well as in contrast to non‐family firms. Results based on cable TV operators from 1983 to 1987 confirm that family ownership correlates negatively with technology adoption, especially when family owners hold a minority rather than majority position. We also show contingencies based on performance improvements and competitive threats. Our arguments contribute new insights about the tensions between economic and socioemotional factors within minority family ownership that are absent from non‐family firms and more pronounced than in majority family firms. Managerial summary : We find evidence of greater reluctance toward new technology adoption among firms with minority family influence than majority family influence. This suggests that goals related to socioemotional wealth only partly explain the cautious decision‐making observed in family firms, with further caution arising from conflicting priorities between family and non‐family owners. Recent performance improvements help offset the reluctance to adopt new technology, albeit to a lesser degree among firms with minority family ownership. High levels of competitive threats also offset the reduction in new technology adoption, and contrary to expectations, to a greater extent among minority family firms. Copyright © 2016 John Wiley & Sons, Ltd.     

Matching food security and malnutrition indicators: evidence from Southeast Asia

This article aims to understand the relation between household food security and individual undernutrition. The multitude of indicators available raises the question which aspects of food security are captured by the respective indicator. In our analysis, we first assess the relation between the dimensions of food security and households’ socioeconomic characteristics. Second, we examine whether household indicators detect undernutrition in children. Finally, we investigate the role of individual‐specific characteristics for child undernutrition. The analysis is based on a novel data set of 1,200 rural households from Cambodia and Lao PDR, which combines household‐ and individual‐level data. We capture household food security by three indicators including a dietary diversity score, a consumption behavior measure, and an experiential measure. Individual nutrition status is measured via anthropometric indicators. Our results show that different household‐level indicators capture fundamentally different aspects of food security. Moreover, household food security fails to explain stunting for children under five. Dietary diversity indicators, however, explain underweight in children to a small extent. We call for more research on intrahousehold allocation of food and stress the implications of our research for the design and targeting of food and nutrition support programs.     

Testing vertical price transmission for Vietnam's Robusta coffee

Vietnam has undergone market reforms over the last three decades; and as a consequence, the coffee sector has become increasingly market‐driven. The success of the government's liberalisation policies in terms of market efficiency is investigated by examining the transmission of both positive and negative price changes for Robusta coffee between export and farmgate prices. We used a threshold vector error correction model and high‐frequency daily data. The primary result here is that of a symmetric price transmission between export and farm‐level prices. This result holds when tested with weekly price data, derived from the daily data. Farmgate prices respond faster to decreases than increases in export prices when the long‐run deviation exceeds a certain threshold. These price changes are transmitted within several days. This research also confirms the importance of transaction costs, and other price frictions mostly ignored in prior analyses for coffee.     

Overlooked encounters: young tourists' experiences at dark sites

This research note reviews the existing literature comprised of dark tourism articles and chapters mentioning children. Publications meeting the search criteria were few. Accordingly, we offer possible reasons for the scarcity of research on children in dark tourism, including the legal constraints when researching with minors, the academic risk in undertaking a new field of research, and the substantial expertise needed to engage children in studies. We conclude with the compelling reasons to undertake such research: to inform interpretation of emotionally provocative sites for children, to understand and mitigate children's psychological distress at dark sites, and to advance theoretical work on children as tourists.     

Estimation of tourism demand by multivariable regression analysis Evidence from Kenya

Between 1963 and 1982, tourism was one of the top three domestic exports of Kenya. Knowledge of the variables which significantly Influence Kenyan tourism demand could help tourism policy makers in planning growth strategies. The results of this study indicate that multivariable regression analysis has limited usefulness in identifying the significant factors which influence tourists' decisions. Data problems and resulting multicollinearity cause unsuitable results in one case, while model specification appears to be a problem in another. The author concludes that quantitative studies should be supplemented by qualitative analysis in order for Kenyan policymakers to make optimal decisions.     

The green globe programme: Developing a greener future for travel and tourism

This paper examines the concept of sustainable tourism planning in New Zealand and its relationship to the Resource Management Act. The paper considers the public sector planning responses towards tourism development issues within the context of New Zealand's Resource Management Act, and the ability of these organisations to respond to tourism issues. It argues that the absence of a national vision for tourism is a major constraint on achieving sustainable tourism options at the regional and local level because the Resource Management Act s principles of sustainable planning are not guided by any national policy or strategy. By using a postal questionnaire, the paper provides the first in-depth analysis of planners responses to tourism and their ability to integrate tourism into the planning process within New Zealand. The paper also expands the arguments initially developed by Dredge &; Moore (1992) on the lack of integration in relation to tourism and planning.     

Sources of inequality in the Philippines: Insights from stochastic dominance tests for richness and poorness

New stochastic dominance (SD) tests of richness and poorness are applied to income and expenditure distributions in the Philippines to measure relative welfare levels and investigate sources of inequality from 2000 to 2012. We successfully demonstrate that welfare analyses based on ascending and descending SD principles offer a stronger characterisation of changing levels of welfare in a population than what could be obtained using standard SD approach alone. Empirically, our results show that large improvements in relative welfare over time in the Philippines favoured older and female-headed households, mainly in the urban areas. Further, female headship and more years in education promoted higher welfare within and among the population groups. On the other hand, the growth of remittance incomes may have caused the greater imbalance in the distributions found in more recent years. Analysis by age groups meanwhile showed that over time, there are increasing concentrations of poorer households among the youngest cohort (30 and under), at the same time that there are also increasing concentrations of richer households among the over 60s. The combined impact of these factors provides a viable explanation as to why the gap between the rich and the poor has remained high in the Philippines for a very long time now.     

Smoothing and Benchmarking for Small Area Estimation

Small area estimation is concerned with methodology for estimating population parameters associated with a geographic area defined by a cross-classification that may also include non-geographic dimensions. In this paper, we develop constrained estimation methods for small area problems: those requiring smoothness with respect to similarity across areas, such as geographic proximity or clustering by covariates, and benchmarking constraints, requiring weighted means of estimates to agree across levels of aggregation. We develop methods for constrained estimation decision theoretically and discuss their geometric interpretation. The constrained estimators are the solutions to tractable optimisation problems and have closed-form solutions. Mean squared errors of the constrained estimators are calculated via bootstrapping. Our approach assumes the Bayes estimator exists and is applicable to any proposed model. In addition, we give special cases of our techniques under certain distributional assumptions. We illustrate the proposed methodology using web-scraped data on Berlin rents aggregated over areas to ensure privacy.     

An Empirical Analysis of Analysts' Capital Expenditure Forecasts: Evidence from Corporate Investment Efficiency*

We examine whether the information conveyed in a relatively new analyst research output—capital expenditure (capex) forecasts—affects corporate investment efficiency. We find that firms with analyst capex forecasts exhibit higher investment efficiency. This effect is stronger when the forecasts are issued by analysts with higher ability or greater industry knowledge. Moreover, the effect of capex forecasts on investment efficiency varies with the signals they convey about future growth opportunities—positive-growth signals are more effective in reducing underinvestment, while negative-growth signals are more effective in reducing overinvestment. Cross-sectional tests suggest that these effects operate at least in part through both a financing channel and a monitoring channel. Taken together, our results suggest that analysts' capex forecasts convey useful information about firms' growth opportunities to managers and investors, which can facilitate efficient investment.