Do Multi‐Plant Firms Reduce Misallocation? Evidence from Canadian Manufacturing

Using Canadian plant‐level data, this paper shows that, depending on the industry, the differences in the average plant‐level productivity and cross‐plant allocation of resources between multi‐plant and single‐plant firms account for 1 to 15 per cent of the industry‐level TFP. A large part of this contribution stems from more efficient cross‐plant allocation of resources, measured by the covariance between plant size and productivity, in the pool of plants in multi‐plant firms compared to the pool of plants in single‐plant firms. There is less dispersion in the marginal products of the inputs, and thus less misallocation, in industries in which multi‐plant firms account for a larger share of output. The patterns found in the cross‐plant distribution of productivity and size are also consistent with better allocative efficiency among plants in multi‐plant firms than among plants in single‐plant firms.     

How Does Market Making Affect Industrial Relations? Evidence from Eight German Hospitals

The introduction of market mechanisms matters for industrial relations. In the German hospital sector, national liberalization policies have put immense pressure on local management and worker representatives and led to the growth of a low‐wage sector. In case studies of eight hospitals, we find some locales where market making has led to union revitalization and mobilization, but this effect varies. Using an eight‐way comparison, we infer a configuration of three aspects of the local political economy — labour markets, politics and co‐determination rules — that together provide a well‐fitting explanation for both variation and change.     

Do External Knowledge Sourcing Modes Matter for Service Innovation? Empirical Evidence from South Korean Service Firms

To source external knowledge, firms in the service area use various sourcing modes simultaneously suitable for their internal needs or external environments. Each external knowledge sourcing mode has distinctive characteristics, and as such, they can offer different advantages and/or disadvantages to the firms. Thus, the effects of external knowledge sourcing on service innovation may vary depending on the sourcing modes. The current study aims to empirically examine the different effects of various external knowledge sourcing modes on service innovation. The study identifies three external knowledge sourcing modes: joint development, technology purchasing, and external information acquisition. Three hypotheses are established to examine the relationships between the extent of utilizing each mode and service innovation performance in terms of new service introduction. The data for analysis are selected from the “Korean Innovation Survey 2006: Service Sector” (KIS 2006). It is regarded as South Korea's version of the Community Innovation Survey (CIS). The KIS 2006 data set covers joint development, technology purchasing, and external information acquisition activities of corporations in the service sector in South Korea. The study empirically analyzes the data set using a negative binomial regression model. The results first demonstrate that the extent of the joint development has an inverted U‐shaped relationship with the service innovation performance. Second, the results indicate that, on the other hand, service innovation performance decreases with the increase to the extent of the technology purchasing when the extent is below the threshold. On the other hand, it increases with the increase to the extent of the technology purchasing; this occurs when the extent exceeds the threshold. Third, the results show that external information acquisition has a positive effect on service innovation performance. These findings support that the extent of utilizing each mode has different relationships with service innovation performance. The findings suggest that service firms need to utilize joint development at a moderate level, active technology purchasing, and as much external information acquisition as possible to maximize service innovation performance. In practice, this finding can help managers of service firms select appropriate external knowledge sourcing modes and determine the optimum level of use for each mode. This study also can help firms build up strategies for external knowledge sourcing.     

How Much Do Employers Learn from Referrals?

This paper tests the hypothesis that referrals from various sources provide employers with more information about job applicants than they would have with‐out a referral. The study uses data that contain information on two workers in the same job, allowing the differences in job and firm characteristics to be canceled out and controlling for the possibility that workers with referrals from different sources (or no referral at all) sort into jobs that put different weights on individual performance. The estimation results are consistent with referrals from current employees providing employers with more information than they would have otherwise. Additionally, it appears as though hiring through friends or relatives of the employer may involve some favoritism that results in employers either collecting less information than they would otherwise or ignoring information when setting wages. The study finds weak evidence consistent with referrals from other firms or labor unions providing useful information, and no evidence that referrals from community organizations or other sources have any effect.     

Do Occupational Regulations Increase Earnings? Evidence from China

We examine the influence of occupational certification and licensing in China. In the empirical analysis, we find that licensing is associated with an average of 15 percent higher wages and certification with a 13–14 percent higher wage based on ordinary least squares estimates. However, using propensity score and instrumental variable estimates suggests that part of the positive effect of certification on wages is due to self‐selection. In addition, the characteristics of a certificate or license, such as the type and quantity, further influence wage determination in China.     

Does Increasing the Market Share of Smaller Firms Result in Lower Prices? Empirical Evidence from the Canadian Retail Gasoline Industry

Some recent policy initiatives aimed at preserving the market share of smaller or independent gasoline retailers have either been implemented or proposed in both Canada and the United States. Employing monthly data on average retail prices and market shares across eleven Canadian cities between 1991 and 1997, I find that more aggregate market share in the hands of independent retailers is correlated with higher retail prices, but indirectly associated with lower prices through the corresponding fall in market concentration among vertically integrated firms. The sum of these impacts is negative as indirect effects are larger in magnitude than corresponding direct effects.JEL classification : L1, L4     

Do Recessions Transform Work and Employment? Evidence from Ireland

Two contrasting views tend to dominate the literature on the impact of recessions on employment. One view is that recessions amount to a ‘critical conjuncture’ for work and employment systems, a time when firms try to transform radically existing employment models. The alternative perspective is that firms, constrained mostly by the forces of path dependency, seek to adjust to the immediate or short‐term pressures of the recession but otherwise maintain the established way of organizing the employment relationship. The purpose of this article is to contribute to this literature by reporting the findings of a major study of the effects of the recession on work and employment in firms based in Ireland. The main finding to emerge from the study is that firms mostly have made improvised adaptations in response to the crisis and have shied away from far‐reaching transformational strategies.     

How Do Interaction Activities among Customers and between Customers and Firms Influence Market Performance and Continuous Product Innovation? An Empirical Investigation of the Mobile Application Market

Mobile application markets (MAMs) significantly differ from other existing marketplaces at least in two aspects. First, customers (app users) and firms (app providers) frequently interact with each other in real time, which is not common in the conventional marketplaces. Second, many app providers incorporate customers’ opinions or suggestions into their software upgrades, representing one of the most unique and interesting aspects of MAMs. Therefore, it has become critical to understand the impact of interaction activities not only among customers, but also between customers and firms on the market performances of new products in MAMs. One of the most significant issues firms face is whether firms reflect on customers’ postpurchase interaction activities, and the next interesting question is how firms respond to them. This study explores the effects of customer‐to‐customer (C2C), customer‐to‐firm, and firm‐to‐customer interaction activities on market performance. In addition, this study investigates how communication activities influence a firm's tendency to pursue continuous product innovation through research and development (R&D). Using data obtained from a major MAM, T store, three models that are respectively related to product sales, product lifetime, and a firm's R&D activity for product upgrades, are applied to empirically test hypotheses concerning the effects of interaction activities. In our analyses of market performance, a hierarchical log regression model with 10,840 weekly transactions data set related to product sales (model A) and 291 aggregate transactions related to product lifetime (model B) is used. Results indicate that C2C and customer‐to‐firm communication activities have a positive impact on sales, but little relationship with product lifetime. However, a firm's continuous product R&D has a positive impact on both sales and lifetime performance. Our analysis of a firm's R&D (model C) shows that C2C and customer–firm communication increases a firm's R&D activity. Taken together, these results have important implications for customer–firm interactions, market performance, and R&D strategies.     

Why Do Firms Enter a New Product Market? A Two‐Dimensional Framework for Market Entry Motivation and Behavior

What are the energetic forces that induce established firms to enter new product markets? While most previous research has explained the economic profits expected from a new product market as firms' distinctive motivation for market entry, some recent studies also emphasize interfirm competition and benchmarking activities as another important factor that motivates firms' new market entry. To explain the established firms' diverse new product market entry behaviors, this study presents a two‐dimensional scheme of entry motivation in terms of the degrees of target market profit focus and competitor focus. The first dimension captures the economic motivation of firms' new market entry that ranges from focusing on the direct expected profits from the target market to considering more strategic/indirect benefit incentives. The second dimension captures the degree of firms' external motivation for entry affected by competitors that ranges from independent entry decisions to fully competitor‐oriented entry decisions. Using multiple‐industry survey data, the current study empirically verifies that these two entry motivation dimensions explain a great portion of actual firms' new product market entry behaviors and that they are independent of each other. Subsequently, this study validates that firms' operational size and their environmental factors like perceived technological uncertainty and competitive intensity upon new market entry affect the degrees of the two dimensions of firms' new product market entry motivation. More specifically, large firms less emphasize target‐market profits than small firms, and when perceived technological uncertainty is high, potential market entrants become less target market profit focused but more competitor focused. Under a highly competitive new market condition, firms focus on both target‐market profits and competitors. Based on the analysis of new market entry motivation dimensions, the current study proposes a new typology of established firms' market entry behaviors. The suggested typology represents the four different types of new product market entrants and examines specific characteristics and entry strategies for each type of potential entrants. This entry‐motivation framework should provide a deeper understanding of the backgrounds of entry behaviors and assist firms in developing appropriate entry strategies and in advantageously responding to rival firms' actions with regard to entry.     

How Do Switching Costs Affect Market Concentration and Prices in Network Industries?

I investigate the effects of switching costs on the market outcome in network industries using a dynamic duopoly model of price competition in the presence of an outside option. I find that the role of switching costs depends on network effects and the outside option. Without a viable outside option, high switching costs can neutralize the tendency towards high market concentration associated with network effects, but with a viable outside option, switching costs increase market concentration. Furthermore, switching costs lower prices if network effects are modest and there exists a viable outside option, but generally raise prices otherwise.     

Do mass layoffs affect voting behaviour? Evidence from the UK

How bad are mass layoffs politically? We study this question across both regional and individual-level datasets. Using a difference-in-difference framework with differential timing on constituency-level data for the UK, we find no evidence that mass layoff announcements negatively affect incumbents – either locally or nationally – in the General Elections 2010, 2015, 2017 and 2019. Using individual data on party preferences, we demonstrate that our results are not an artefact of the UK majority voting system and associated tactical voting. We also find no evidence that the null results can be explained by increased outmigration of affected individuals or changes of candidates by political parties. We find evidence that economic expectations are not strongly affected by mass layoffs, which, although a surprising finding by itself, might help to explain the absence of an effect on political outcomes.     

How Do Organizational Environments and Mandatory Arbitration Shape Employment Attorney Case Selection? Evidence from an Experimental Vignette

Using a novel experimental vignette design, this study shows how firm adoption of equal employment opportunity (EEO) policies, internal dispute resolution procedures, occupational segregation, and use of mandatory arbitration agreements affect employment attorney perceptions of employment discrimination claims. Findings reveal the organizational environment of a claim can signal compliance with antidiscrimination law and the use of mandatory arbitration reduces the expected value of a claim and willingness to accept it for representation. These findings contribute to the understanding of antidiscrimination law as a social system by showing organizational environments and mandatory arbitration clauses predict attorney case assessment.     

How Do Social Media Affect Analyst Stock Recommendations? Evidence from S&P 500 Electric Power Companies' Twitter Accounts

Research summary : The importance of firm‐stakeholder relationships is gaining increasing attention. Although a theory of the drivers and consequences of stakeholder pressure has been developing, it focuses on pressures from organized stakeholders such as shareholders, NGOs, and activists, and does not incorporate the emerging possibility that individual voices may matter. By exploring corporate Twitter, which facilitates movement of individual stakeholders such as customers to a higher stakeholder class by providing them with a greater sense of power and urgency, we study the circumstances under which customer voices significantly affect analyst stock recommendations. We find that favorable reactions to firm‐initiated messages matter, directly or indirectly, depending on the messages' growth implications. Customer‐initiated negative messages have a significant impact only with high volume and formal institutions that support customer opinions. Managerial summary : Social media is increasingly used by firms for disclosing information and engaging stakeholders. Yet, we know little about whether and how social media usage matters. We show how corporate Twitter usage may influence analyst stock recommendations. Our interviews of securities analysts suggest that social media is not institutionalized yet, but increasingly used as a source of channel checks, especially for vibes, validations, and so on. Our analyses of corporate Twitter accounts show that both firm‐initiated and customer‐initiated tweets can have significant impact on analyst recommendations under certain conditions. For firm‐initiated tweets, the extent of retweets is an important factor, along with the content of tweets, in particular, growth implications. For customer‐initiated tweets, negative tweets matter, but only with high volume and regulatory structure that supports customer protection. Copyright © 2017 John Wiley & Sons, Ltd.     

Who Do Firms Lay Off and Why?

I develop and test a structural–historical account of corporate reductions in force (RIF) to assess whether this widespread process was redistributive or efficient. I argue that changes in the context of restructuring in recent decades, coupled with substantial changes in organizational compensation systems, lead to temporal variation in the likelihood of “broken‐contract” RIF, in which firms terminate highly paid managers, and “trimming the fat” RIF, in which firms terminate low‐performing managers. Analyses of personnel records from a Fortune 500 manufacturing firm indicate that low performance leads to increased risk of separation in each of the two RIF undertaken by the firm, with the effect becoming stronger over time in part because of changes in the firm’s performance management system. By contrast, high wages were a more important factor explaining departure during the firm’s RIF in the 1980s—when competitive pressures to default on bonded contracts were strong—than during its RIF in the 1990s.     

How Different Are Safeguards from Antidumping? Evidence from US Trade Policies Toward Steel

Use of temporary trade barriers (TTBs) has proliferated across countries, industries, and even policy instruments. We construct a panel of bilateral, product-level US steel imports that are matched to a unique data set on trade policy exclusions that are associated with the 2002 US steel safeguard in order to compare the trade impacts that result from application of various TTB policies over 1989–2003. We find that the trade effects of an applied safeguard—which is statutorily expected to follow the principle of nondiscriminatory treatment—can nevertheless compare closely to the application of the explicitly discriminatory antidumping policy. Our results on trade policy substitutability complement other recent research on these increasingly important forms of import protection.     

Do the urban poor face higher food prices? Evidence from Vietnam

Whether there is a poverty penalty, in terms of food prices, is unsettled in the literature after more than four decades of study. Unit values from household surveys suggest that prices vary with income while outlet surveys typically find food prices varying with store type but not with neighborhood income. Most outlet surveys are from rich countries, with just one spatially limited study from a developing country. In this paper we use especially collected food price data from metropolitan areas of Vietnam to test whether the urban poor face higher food prices. Food prices in low-income neighborhoods are 1% lower, on average, than in other neighborhoods. Unit values give a different answer to the question of whether the poor face higher prices and are not suited to answer such a question.     

Do ICTs drive wealth inequality? Evidence from a dynamic panel analysis

Surprisingly, little is known about the cross-country effect of information and communication technology (ICT) on wealth inequality. At the same time, there is some tentative evidence suggesting that information and communication technology is positively correlated with income inequality. However, whether and how ICT affects wealth inequality is less explored, particularly because of the lack of reliable data on wealth inequality. This paper, therefore, fills this gap and contributes to this new literature by investigating the effect of ICT on wealth inequality in a sample of 45 developed and developing countries over the period 2000–2017. ICT is measured with six different indicators (including internet penetration, mobile penetration, ICT service exports, the ICT index, ICT quality, and ICT quantity), while wealth inequality is measured with three different indicators (comprising billionaire wealth to GDP, the Top 1% wealth share, and the Top 10% wealth share). The empirical analysis is based on the Generalised Method of Moments, and the results show that ICT increases wealth inequality. Furthermore, we show that democracy mitigates the increasing effect of ICT on wealth inequality. This result suggests that improving democracy in both developed and developing countries is an effective mechanism for mitigating the effects of ICT on wealth inequality. Therefore, we encourage efforts to implement democratic institutions that ensure respect for citizens' freedoms, greater democratic accountability, and executive constraints that allow for a more egalitarian distribution of wealth.     

Regulatory Risk and Market Reactions — Empirical Evidence from Germany

In this article we measure the effects of events on risk and return and analyze the persistence of the influencing variables on German energy companies. Therefore, we refer to event-study methods by means of the Capital Asset Pricing Model, GARCH-Modeling and Kalman filters. We find that the discussed events do not affect all companies in an equal manner. Moreover, we show that the impact on risk and returns is not persistent and does not lead to an increase in the overall systematic risk for the considered utility operators in Germany.