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In Chapter 7, we empirically test the propositions and hypotheses developed in Ch. 4. Specifically, we examine whether natural disasters, compared to other industrial disasters and terrorist attacks, affect multinational corporations (MNCs) foreign subsidiary investment. We also analyze if this effect varies in response to different sub-types of natural disasters. Then, we test if stronger institutional environments moderate the relationship between disasters and foreign subsidiary-level investment. We test our hypotheses using a panel dataset that includes 31,285 observations from 71 European Fortune Global 500 MNCs and their subsidiaries operating across 101 countries during the period 2001–2006. Our findings indicate that MNC foreign subsidiary investment is likely to decrease in response to severe terrorist attacks or technological disasters but not natural disasters, except for the case of windstorms and related water surges, the deadliest weather-related natural disasters. For natural disasters, the likelihood of MNC subsidiary-level disinvestment increased with higher host country democratic freedoms and decreased with higher host country’s regulatory enforcement quality.
This article uses trade directories and notifications in the London Gazette to reconstruct the Potteries industrial district at the firm level for 1781 to 1851, a dynamic period of growth for a knowledge-intensive industry. It cuts across the organizational spectrum of the district in terms of the scale and scope of firms traditionally examined by including both the larger lead-firms and the smaller firms for which limited or no business records survive. It addresses difficulties associated with analysis of early clusters before the late nineteenth century. Directories offer a consistent series of records that, when cross-referenced with the Gazette and local newspapers, allow for detailed examination of firm behavior and the structure of the district during a formative growth period. Analysis highlights patterns of cooperative competition in an industry in which tacit knowledge played a crucial role as a source of competitive advantage, raises questions for future research, and provides an empirical base on which to consider further investigation of the trees that made up the forest.
In Chapter 2, we build on resilience theory to provide a framework of analysis to understand how the intensity of nature adversity generated by climate change affects and limits business adaptation. Adaptation responses can span a broad range of strategies beginning with unawareness to deliberately ignoring nature adversity conditions. Next, protective adaptation –seeking to preserve the status quo of core business features- including substitution of nature’s resources and services, buffering from negative conditions, government lobbying, and engaging in alliances or mergers and acquisitions. And then, at the highest levels of nature adversity: adopting diversification strategies (e.g., in terms of products/services, industry participation, and geographic location) or even abandoning businesses altogether.
Microfoundations allow the unpacking of processes by which dynamic capabilities are created. Along this line, managerial cognition has been proposed as a variable related to the dynamic capabilities. However, the high number of cognitive variables reported hinders the theoretical contributions. Thus, this study classifies the managerial cognitive variables of chief executive officers (CEOs) into three types of dynamic managerial capabilities: (1) managerial sensing, (2) managerial seizing, and (3) managerial reconfiguration. We estimate the correlation of these managerial capabilities with firms' dynamic capabilities. We use a three-level random effects model to synthesize 101 correlations reported from 2007 to 2021, representing 6,153 CEOs around the world. This meta-analysis reveals a positive relationship between CEOs' managerial cognition and dynamic capabilities, especially with respect to those cognitive variables that support managerial sensing as the perception of opportunities and entrepreneurial alertness.
In this chapter we discuss our main findings, and limitations, outline a future research agenda, and propose implications for business managers and policy makers. One of our book’s key findings indicates that firms tend to exhibit lower degrees of protective adaptation at both lower and upper range levels of nature adversity intensity while displaying greater levels of protective adaptation at medium levels, yielding an inverted U-shaped relationship. Our book findings also challenge the commonly accepted wisdom that managers employ a risk calculus where the firm’s response would be in proportion to the loss of life and the duration and severity of a disaster. Between 2001 and 2006, the average number of individuals killed around the world by natural disasters, 757 deaths per year per country on average, was about 190 times greater than the number of fatalities for from terrorist attacks, and about 10 times greater than for deaths from technological disasters Yet, we only found that only more severe terrorist attacks and technological disasters significantly decreased MNC foreign subsidiary investment. Alternatively, natural disaster severity does did not appear to affect MNC foreign subsidiary investment.
Chapter 6 focuses on two key research questions highlighted in Chapter 3: How does nature adversity intensity affect the adoption of business protective adaptation strategies? And how do firm-level and institutional-level factors moderate the relationship between nature adversity intensity and protective adaptation? In this chapter we also test the propositions developed in Chapter 3. To do this, we study how the U.S. ski industry has adapted to warmer temperatures between between 2001-2013. Our data tracks snowfall and temperature conditions for western U.S. ski resorts between 1995-2013. Our findings show that firms facing medium nature adversity intensity levels (measured in terms of temperature) appear more likely to engage in higher adaptation while those experiencing low and high natural adversity intensity show a tendency for lower adaptation, yielding an inverted U-shaped relationship. Our findings also suggest that firm age, the stringency of the regulatory environment, and the presence of slack resources, induce a flattening of this inverted U-shaped relationship. Status as a public company, however, induces a steepening of the inverted U-shaped relationship.
Chapter 2 studies VSS in relation to public authority and their possible complementarity with public rules at the international and EU/national level. The interactions between VSS and public authority are illustrated with reference to EU practice. These regulatory forms, labelled as public use and facilitation of VSS, result in collaborative rule-making and coordination of regulatory effects between public and private regimes. As an outcome of these interplays, public and private regimes are mutually influenced in a process of hybridisation. The chapter illustrates the limits to complementarity that emerge from assessing VSS under WTO rules, in particular when it is taken into account that VSS emerged as a response to the perceived WTO constraints on public action. The chapter then sets the coordinates of a role for public authority towards VSS. Literature on global public goods, transnational law and global governance clarifies normatively the level of public intervention vis-à-vis VSS. The chapter also illustrates how provisions of EU competition law, free movement and WTO law can discipline VSS, and highlights the main outstanding legal issues that will be addressed.
Firm-level variables that predict cross-sectional stock returns, such as price-to-earnings and short interest, are often averaged and used to predict market returns. Using various samples of cross-sectional predictors and accounting for the number of predictors and their interdependence, we find only weak evidence that cross-sectional predictors make good time-series predictors, especially out-of-sample. The results suggest that cross-sectional predictors do not generally contain systematic information.
Economic and health benefits assessments of air quality changes often quantify and report changes in deaths at a given point in time. The typical approach uses a method that attributes air pollution-related health impacts to a single year air quality change (or “pulse”). The perspective on benefits from these static pulse analyses can be enhanced by conducting a dynamic population assessment using life tables. Such analyses can provide a richer characterization of health risks across a population over a multiyear time horizon. In this article, we use the life table approach to quantify cumulative counts of reductions in PM-attributable deaths and life-years gained due to overlapping impacts of PM2.5 changes over a multiyear period, using case studies of air quality improvements in the USA and Chile. Our comparison of health risk and economic valuation for the two approaches shows life table analysis can be a valuable adjunct analysis to the pulse approach though both come with their own set of uncertainties and limitations. If applied jointly, they provide a broader characterization of how air quality actions can change populations in terms of life-years lost, life expectancy, and age structure. The value of these metrics is illustrated using case studies with dramatically different air quality reduction trajectories.
We show that the similarity of a firm’s technological expertise with that of other firms affects managerial labor market outcomes. Using each firm’s patent portfolio to estimate its technological expertise, we find that its similarity in technological expertise with other firms is strongly related to the benchmark group used for CEO compensation and job transitions. Furthermore, we show that a firm’s CEO pay is positively associated with the CEO compensation levels of technologically similar firms. Our results thus demonstrate the crucial role of technological similarity in determining the value of outside options and the boundaries of the managerial labor market.