The Effects of Bailouts and Soft Budget Constraints on the Environment

This paper investigates the effects of financial relief programs, commonly referred to as ‘bailouts’, on pollution. A partial equilibrium soft budget constraint model of the firm is developed to identify the effect of bailouts on the emission decisions of firms. The results from the model indicate that the expectation of bailouts increases ex ante emissions. A more stringent emissions tax is required to achieve the same level of emissions if bailouts are available than if bailouts are not available; however, a tradable permit system will maintain the same emissions level if bailouts are available as when bailouts are not available.     

The Economic Value of Water Quality

Stated preference values for water quality ratings based on the US Environmental Protection Agency National Water Quality Inventory ratings provide an operational basis for benefit assessment. Iterative choice survey results for a very large, nationally representative, Web-based panel imply an average valuation of $32 for each percent increase in lakes and rivers in the region for which water quality is rated “Good.” Valuations are skewed, with the mean value more than double the median. Sources of heterogeneity in benefit values include differences in responses to average water quality information and the base level of water quality. Conjoint estimates are somewhat lower than the iterative choice values. The annual economic value of the decline in inland US water quality from 1994 to 2000 is over $20 billion.      

Literature-related discovery (LRD): Lessons learned, and future research directions

Literature-related discovery (LRD) is the linking of two or more literature concepts that have heretofore not been linked (i.e., disjoint), in order to produce novel, interesting, plausible, and intelligible knowledge (i.e., potential discovery). The open discovery systems (ODS) component of LRD starts with a problem to be solved, and generates solutions to that problem through potential discovery. We have been using ODS LRD to identify potential treatments or preventative actions for challenging medical problems, among myriad other applications. The five immediately preceding papers in this Special Issue describe the application of ODS LRD to Raynaud's Phenomenon (RP), cataracts, Parkinson's Disease (PD), Multiple Sclerosis (MS), and Water Purification (WP). We describe the lessons learned from each application, and how the techniques can be improved further.Generation of much potential discovery using ODS LRD is possible when the conceptual roadblocks to discovery are removed. Some of these roadblocks include use of numerical filters that are unrelated to generating discovery, and excessive reliance on literatures directly related to the problem literature of interest. The issue of how to handle large amounts of potential discovery has not been addressed in the literature, since most ODS LRD researchers have tried to find a relatively few potential discovery items. We present a development strategy that capitalizes on the large amounts of potential discovery we have identified.     

Does the use of imported intermediates increase productivity? Plant-level evidence

This paper examines whether importing intermediate goods improves plant performance. While addressing the issue of simultaneous productivity shocks and decisions to import intermediates, we estimate the impact foreign intermediates have on plants' productivity using plant-level Chilean manufacturing panel data. Across different estimators, we find evidence that becoming an importer of foreign intermediates improves productivity.     

Prostitutes,Pimps, and Brothels: Intermediaries,Information, and Market Structure in Prostitution Markets

Prostitution is a multi‐billion dollar, globally distributed, low‐concentration service industry that is receiving increasing attention in the economics literature. This article focuses on a widespread, but little studied, feature of this environment—the role of intermediaries (pimps or brothel owners) on market outcomes. Prostitution laws and markets are perhaps unique in that transactions between principals (prostitutes and johns) are legal in many countries, while intermediary activity (pimping) is illegal. After surveying the varying cross‐country legality of agents we develop a simple theoretical model to analyze how the presence or absence of intermediaries shifts the distribution of market surplus. We show that eliminating pimps and brothels may shift surplus in non‐obvious ways, depending on the precise function they perform and on whether equilibrium is pooling or separating across “high quality” and “low quality” market segments. The implications of alternative policy regimes (intermediaries legal or illegal) are considered.     

Implications of the COVID-19 pandemic on market orientation in retail banking

Journal of Financial Services Marketing - This qualitative study examines the implications of the COVID-19 pandemic on the implementation of market orientation (MO) in the context of retail...     

Crowdsourcing without profit: the role of the seeker in open social innovation

Crowdsourcing has increasingly been studied as an open innovation (OI) mechanism by which organizations (seekers) engage with an external crowd of potential solvers. Previous crowdsourcing research has focused on solvers and their individual motivations, providing few insights as to why and how seekers use crowdsourcing, and how these choices affect the value that might be realized from these efforts. Prior research has also emphasized profit‐seeking firms, despite the use of OI practices by public sector organizations to achieve societal benefits. This paper examines the organizational and project‐level choices of government agencies that crowdsource from citizens to drive open social innovation, and thus develop new ways to address societal problems, a process sometimes termed ‘citizensourcing.’ Using rich data from 18 local government seekers that use the same intermediary, we develop a model of seeker crowdsourcing implementation that links a previously unstudied variance in seeker intent and engagement strategies to differences in project team motivation and capabilities, in turn leading to varying online engagement behaviors and ultimately project outcomes. Our study compares and contrasts governmental and corporate crowdsourcing to reveal that the non‐pecuniary orientation of both seekers and solvers means that the motives of government crowdsourcing are fundamentally different from corporate crowdsourcing, but the process in our sample more closely resembles that of a firm‐sponsored community rather than government sponsored contests. More generally, we show how seeker organizational factors and choices shape project‐level implementation and success of crowdsourcing efforts, as well as provide insights for OI activities of other smaller, geographically bound organizations.     

The relationship of industry structure to open innovation: cooperative value creation in pharmaceutical consortia

With its focus on value creation and value capture, open innovation research explicitly or implicitly examines the competitive impacts of collaboration. However, to date such research has not considered the effects of a blockbuster industry structure upon open innovation. Here, we examine a particular form of multilateral collaboration, the open R&D consortium, in which the results from collaboration are allowed to spill over to members and nonmembers alike. We do so in the context of the pharmaceutical industry, a stable but fragmented industry defined by the ongoing search for blockbuster hits protected by strong appropriability. Using a novel data set, we identify 141 such consortia that involve two or more of the 30 largest pharma firms. We show that firms financially support such consortia, in part, because their value creation activities benefit members without disrupting the value capture or other aspects of the incumbent industry structure. We discuss the implications of these findings for research on multilateral collaboration in blockbuster industries, and open innovation more generally.