(Under)Mining local residential property values: A semiparametric spatial quantile autoregression

Rock mining operations, including limestone and gravel production, have considerable adverse effects on residential quality of life due to elevated noise and dust levels resulting from dynamite blasting and increased truck traffic. This paper provides the first estimates of the effects of rock mining—an environmental disamenity—on local residential property values. We focus on the relationship between a house's price and its distance from a nearby rock mine. Our analysis studies Delaware County, Ohio, which, given its unique features, provides a natural environment for the valuation of property‐value‐suppressing effects of rock mines on nearby houses. We improve upon the conventional approach to evaluating adverse effects of environmental disamenities based on hedonic house price functions. Specifically, in the pursuit of robust estimates, we develop a novel (semiparametric) partially linear spatial quantile autoregressive model which accommodates unspecified nonlinearities, distributional heterogeneity, as well as spatial dependence in the data. We derive the consistency and normality limit results for our estimator as well as propose a consistent model specification test. We find statistically and economically significant property‐value‐suppressing effects of being located near an operational rock mine which gradually decline to insignificant near‐zero values at roughly a 10‐mile distance. Our estimates suggest that, all else equal, a house located a mile closer to a rock mine is priced, on average, at about 2.3–5.1% discount, with more expensive properties being subject to larger markdowns.     

Segmenting the Belgian charitable sector: The impact of environmental factors on households' generosity

Research on charitable giving has known a renewed interest over the last years. Despite a recent evolution, the literature remains predominantly Anglo‐Saxon, and studies are consequently conducted in societies marked by a strong charitable giving culture. In that respect, donors are generally considered as isolated individuals, and the impact of social and environmental factors such as public policies, institutional specificities, and punctual events is often underestimated. Moreover, research on generosity often suffers from the absence of reliable data, free of desirability bias. Based on fiscal data of tax returns and gift tax returns provided by the official Belgian statistics bureau, this research investigates individual donating behaviors while considering the influence of environmental determinants on generosity. More specifically, we empirically assess the generosity of Belgian households over a period of 8 years marked by natural disasters, massive calls for public generosity, and changes in tax policies. Among other things, we qualify the results of previous research on the role of age and open the debate on the role of household composition as a variable for segmenting donors. Finally, we propose leads for future research in order to stimulate further academic effort on the topic.     

Retaining and engaging older workers: A solution to worker shortages in the U.S.

Over the next 20 years, many organizations will experience significant shortages of skilled workers. At the same time, because of longer lifespans and a gradual rise in what society has considered the traditional retirement age of 65, older workers will represent a growing proportion of the American workforce. For a variety of reasons, many of these older workers desire to continue working and, if retained and engaged, they constitute a significant labor source for mitigating the emerging shortages of skilled workers. However, many organizations are not prepared to take advantage of this demographic shift; some even generate barriers that impede the retention and engagement of older workers. In this article, we identify a variety of ways in which organizations can retain and engage older workers to meet their staffing needs and enhance organizational performance. We also discuss the relationship of these proposals to prominent theories of motivation in management.     

Cross‐Functional Integration: Concept Clarification and Scale Development

The centrality of cross‐functional integration (CFI) to supply chain theory and practice has long been recognized. Yet researchers continue to struggle with consistently defining or measuring the CFI construct, thus limiting the utility of CFI research. This research develops (1) a comprehensive definition of CFI that synthesizes previous supply chain research and (2) a valid set of scale items that measure the conceptual domain outlined by this definition. The goal is to build a common foundation for extending knowledge on CFI's antecedents and consequences, and ultimately to improve scholars’ ability to guide a broader practitioner community still struggling to achieve integration in their organizations.     

Foreign Ownership and Firm Innovation: Evidence from Korea

ABSTRACT

This study examines whether foreign equity investment promotes domestic firms’ innovation activities. Using panel data on the Korean firms during the 1999–2013 period, we find that foreign ownership has a positive effect on firms’ innovation activities. Furthermore, we also show that, as compared to non-chaebol firms, chaebol firms’ innovation activity becomes much greater with the increase of foreign ownership. Finally, we investigate industry-level spillover effects of innovation. Specifically, we find that foreign ownership promotes innovation activities via forward linkage, the effect of which is also more pronounced in chaebol firms.     

Semitractability of optimal stopping problems via a weighted stochastic mesh algorithm

In this paper, we propose a Weighted Stochastic Mesh (WSM) algorithm for approximating the value of discrete‐ and continuous‐time optimal stopping problems. In this context, we consider tractability of such problems via a useful notion of semitractability and the introduction of a tractability index for a particular numerical solution algorithm. It is shown that in the discrete‐time case the WSM algorithm leads to semitractability of the corresponding optimal stopping problem in the sense that its complexity is bounded in order by with being the dimension of the underlying Markov chain. Furthermore, we study the WSM approach in the context of continuous‐time optimal stopping problems and derive the corresponding complexity bounds. Although we cannot prove semitractability in this case, our bounds turn out to be the tightest ones among the complexity bounds known in the literature. We illustrate our theoretical findings by a numerical example.     

Rural school access and the agricultural transformation

Improving children's access to primary and secondary education is a strategic goal for many global development agencies and government policymakers. Nevertheless, there is relatively little research examining how changes in rural school supply affect future labor markets. We leverage variation in the timing and location of secondary school construction in Southern Mexico to identify the effects of school supply on labor outcomes. We find that school construction increases expected education for school-aged children by about 4 years and raises the share of years working in the nonagricultural sector between the ages of 18–22 by 29.8 percentage points. The magnitude of the effects on share of years doing nonagricultural work is smaller for individuals from homes where an indigenous language is spoken. Our findings indicate that rural school construction in less-developed countries can accelerate the transformation from agricultural to nonagricultural economies, but there may be heterogeneous effects across socioeconomic groups and ethnicities.     

Corporate Environmental Disclosure: Contrasting Management's Perceptions with Reality

This paper's purpose is to assess how management's perceptions regarding certain aspects of environmental reporting relate to the firm's actual reporting strategy. Toward that end, we propose a model where a firm's environmental disclosure is conditional upon executive assessments of corporate concerns. The study relies on a survey that was sent to environmental management executives from European and North American multinational firms enquiring about the determinants of corporate environmental disclosure. Responses from these executives were then contrasted with their firms' actual environmental reporting practices, which was measured using a comprehensive multi-criteria grid. Results show that there is a relationship between environmental managers' attitudes toward various stakeholder groups and how those managers respond to the stakeholders via the decision to disclose and the actual disclosures made. Our model provides a perspective as to how a firm responds to the numerous stakeholders to whom it must be accountable. This accountability in turn relates to how the company communicates its actions to society in order to achieve or maintain its social legitimacy.     

Modeling Methods for Discrete Choice Analysis

This paper introduces new forms, sampling and estimation approaches fordiscrete choice models. The new models include behavioral specifications oflatent class choice models, multinomial probit, hybrid logit, andnon-parametric methods. Recent contributions also include new specializedchoice based sample designs that permit greater efficiency in datacollection. Finally, the paper describes recent developments in the use ofsimulation methods for model estimation. These developments are designed toallow the applications of discrete choice models to a wider variety ofdiscrete choice problems.