Carol Corrado,Jonathan Haskel,Javier Miranda,and Daniel Sichel (eds.): Measuring and accounting for innovation in the twenty-first century (NBER studies in income and wealth,volume 78)

Business Economics -     

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.     

(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.     

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.     

Migration Intermediaries and Codes of Conduct: Temporary Migrant Workers in Australian Horticulture

Over recent decades, developments in network governance have seen governments around the world cede considerable authority and responsibility to commercial migration intermediaries for recruiting and managing temporary migrant labour. Correspondingly, a by-product of network governance has been the emergence of soft employment regulation in which voluntary codes of conduct supplement hard (enforceable) legal employment standards. This paper explores these developments in the context of temporary migrant workers employed in Australian horticulture. First the paper analyses the growing use of temporary migrant labour in this industry. It then describes how different types of intermediaries interact with this workforce. The paper then outlines both hard and soft employment regulations, and contrasts them with actual employment conditions, questioning how a network governance approach has affected this vulnerable workforce. The paper concludes that changes in network governance of migration and employment relations have emasculated formal legal regulation, leaving market forces to operate without effective or ethical constraints at the expense of the public good.     

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.     

Sample Selection Approaches to Estimating House Price Cash Differentials

We extend the literature on house price cash differentials in important ways. First, our paper is the first to employ methods to correct for sample selection bias, using both switching regression and propensity score matching of cash vs. non-cash transactions. We use selection models to produce price counterfactuals for cash and noncash buyers. We also include both average treatment effect and a propensity score weighted selection models. From the selection models, we find that previous studies likely overstate the cash discount. Results from counterfactual tests examining cash discounts suggest amplified cash discounts in areas with close proximity to an environmental hazard; and also a pricing differential based on CBG level income, with purchasers in high income areas more likely to pay a cash premium compared to market participants in areas with comparably lower income, where a cash discount is detected. These results provide useful insights for market participants including real estate appraisers, brokers, and buyers and sellers of real estate.     

Determinants of Voluntary Disclosure of Sales in Small Private Companies in Belgium

Small businesses are the backbone of the economy in many countries. In Europe, for example, small companies represent more than 90 per cent of all companies (e.g., Lukacs, 2005 ). Although these companies represent such an important portion of the economy, few studies have examined their voluntary disclosure decisions. Because small companies have certain unique characteristics compared with their larger counterparts, the general applicability of past voluntary disclosure studies to small companies is questionable. Drawing on agency and proprietary cost theory, this study investigates whether ownership, competition, and accountant factors influence the decision to disclose financially sensitive information on a voluntary basis. Our results (using an e‐mail questionnaire to small private companies in Belgium, n = 1,068) indicate that nearly 40 per cent of the responding companies are not aware of their disclosure behavior. For companies that are aware of their disclosure behavior, the logistic regression analysis demonstrates that factors relating to the separation of ownership and control, namely the type of ownership and number of shareholders, are among the most important determinants in the voluntary disclosure decision of small private companies. Companies with at least one legal entity as an owner of a company are less likely to disclose, while companies with more shareholders are more likely to disclose. We also provide evidence that perceived competition and the default setting of the accounting software used have a significant influence on the voluntary disclosure behavior.     

Making sense of complex data using interactive data visualization

An important role for accountants today is to provide decision support to senior management by assisting them in the analysis of large, complex data sets. Interactive data visualization (IDV) facilitates this process by allowing users to navigate, select, and display data via an easy-to-use interface often used as a component of data analytics. Given the increasing popularity of IDV as a tool for making sense of complex data, it is important that accountants become familiar with and learn how to use this technology. This case provides a hands-on opportunity to organize complex accounting data to create IDVs for decision makers to use. Further, the case enables students to understand the potential impact of IDVs on preparers and users of accounting information. Students will assume the role of a division controller in a hypothetical company and create an IDV to assist the chief executive officer (CEO) in decision making.