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In much of the literature written in Sustainability and Environmental Justice, the focus is on the effects of government mismanagement or corporate social irresponsibility, or CSR ignored for the goal of greater profits. Certainly we have seen natural resources ripped from communities and nations for the benefit of corporate profits (Sarkar, 2013). The idea that a participatory government will lead to greater efforts for sustainability must be viewed in the light of its times and economy (Gonzalez-Perez, 2013). What happens when the man-made disaster precedes or clashes with natural disaster? The Great Recession of 2008 was stunning in the rapidity with which it spread around the globe. The recession illustrated a global acceptance of financial wisdom that had been presented as fact and yet could easily be undermined by people who understood the barriers, boundaries, and restrictions in place as well as where the financial assumptions could be deceived by introduction of new terms and definitions as in the case of credit default swaps.

In this chapter, we focus on the influence of the recession on one of the most powerful financial capitals of the world, New York City. We discuss the general effect of the recession on New York City as a whole and then take a narrower look at each of the five boroughs, Manhattan, Queens, Staten Island, Brooklyn, and the Bronx. We examine the disparate economic states of each borough and how the recession has impacted each of them. Furthermore, we discuss the implications of the general perception of Manhattan’s resilience to the recession and how is has impacted the other boroughs, such as the housing crisis in Staten Island and Queens following Hurricane Sandy, unemployment rates in the Bronx, and the rebuilding of a sustainable job market in Brooklyn.

We reviewed relevant literature, including academic research, reports issued by the State of New York, census data, articles printed in popular press outlets, and business resources to provide a thorough look at the influence of the Great Recession on New York City and each of its five boroughs. We found extensive support for the disparity amongst the five boroughs, despite the perception that New York City is thriving in the wake of the Great Recession and Hurricane Sandy. We detail the unique economic and environmental factors of each borough and explain how it influenced the impact of the Great Recession and subsequent natural disaster.

Manhattan was well insulated from the initial impact of the Great Recession, with tourism in the city remaining high through 2008 and financial firms on Wall Street experiencing record high profits well into 2009. Despite the downfall of Lehmann Brothers and Merrill Lynch, the financial bailouts and Federal Reserve credit available to Wall Street firms prevented Manhattan’s financial sector from experiencing the dramatic unemployment rates that the rest of New York and the United States were facing (DeFreitas, 2009).

The Great Recession hit disadvantaged areas, like the Bronx, harder than other areas of New York, while Hurricane Sandy halted the economic recovery in areas like Queens and Staten Island. While unemployment remains low in New York City as a whole, the recovery from the Great Recession has been uneven, further widening the gap between New York City’s boroughs, with the lower income areas at a greater disadvantage and the higher income areas souring. While Manhattan has recovered significantly, with Wall Street profits reaching record levels in 2009, other boroughs haven’t experienced the same economic upturn and are still facing significant challenges (Parrott, 2010). While the city has gained nearly 375,000 jobs, nearly twice the number of jobs that were lost during the Great Recession (Crain’s New York Business, 2013), the significant variance in wages and high costs of living has not greatly reduced the number of working poor across New York City and has not resulted in an evenly spread boost in wealth.

At the end of our chapter, we discuss “lessons learned” and, in particular, the importance of preparation for both fiscal and natural disasters. Local policy makers must ensure that the needs of its constituents are being met and will be met in the future if such hardship were to strike. Government leaders need to have a forward-looking plan, rather than simply handling immediate needs.

The originality of our content stems from a deeper look into the nuances of the economy of New York City. Statistics paint a picture of a thriving City, despite the Great Recession. However, understanding the distinct differences amongst the five boroughs illustrates that these citywide averages do not paint an accurate picture of life for New Yorkers off of Wall Street. The extent to which the high-income areas in Manhattan have recovered suggests that the economy of New York City as a whole is thriving, whereas the reality is that the middle-class has not recovered and the previously disadvantaged are now even more so. It is important to look at each of the five boroughs of New York City individually when creating policy to both recover from and prevent events such as the Great Recession and the destruction of Hurricane Sandy. Our chapter illustrates stark differences within New York City in the face of both financial and natural crises.

The purpose of this paper is twofold: the authors initially survey a sample of literature published after the Great Recession that address macroeconomic and commercial real estate forecasting methods related to the Great Recession and compare significant lessons learned, or lack thereof. The authors then seek to identify new models to improve the predictability of commercial real estate early warning signals regarding cyclical turning points which result in negative appreciation rates.

The authors develop a probit model to estimate quarterly probabilities of negative office appreciation returns using an alternative methodology to Tsolaco et al. (2014). The authors’ alternative method incorporates generally publicly available macroeconomic and real estate variables such as gross domestic product, office-related employment sectors, cap rate spreads, and commercial mortgage flow of funds into a probit model in order to estimate the probability of future quarterly negative office appreciation rates.

The authors’ models demonstrate the predictive power of macroeconomic variables typically associated with office demand. The probit model specification shows probabilities of negative office appreciations rates greater than 50 percent either as the quarterly office returns become negative, or in some cases several quarters before office returns become negative, for both the Great Recession and the recession occurring in the early 1990s. The models fail to show probabilities greater than 50 percent of negative office returns until after they occur for the recession in 2001. While this indicates need for further improvement in early warning models, the models do predict the more severe periods of negative office returns in advance, indicating the findings useful to real estate investors to monitor the changes in economic and real estate data identified as statistically significant in the results.

The Great Recession is a unique laboratory of significant contractions, recessions, and recoveries that challenge pre-recessionary real estate cycle models. The models provide guidance on which historical economic indicators are important to track, and gives a framework with which to calculate the probability that office prices are likely to decline. Because the models use macroeconomic indicators that are publicly available from at least one quarter in the past, the models or variations of them may provide real estate professionals with some indication of an impending decrease in office prices, even if that indication comes only one quarter in advance. Armed with this information, property owners, investors, and brokers can make more informed decisions on whether to buy or sell, and how sensitive their real estate transactions may be to timing.

The authors introduce several new models that examine the ability of historical macroeconomic indicators to provide early warning signals and identify turning points in real estate valuations, specifically negative office appreciation rates caused by the Great Recession. Using data from at least one quarter in the past, all the data in the models are publicly available (excluding National Council of Real Estate Investment Fiduciaries data) at the observed return quarter being predicted, which gives practitioners rational insights that can provide at least one source of guidance about the likelihood of an impending decrease in office prices.

Using a sample of 214 US metropolitan areas, we examine the connection between the Great Recession and bad jobs, taking into consideration the macro-level determinants of the troubled economy. Our measure of bad jobs is derived from Kalleberg, Reskin, and Hudson’s (2000) conceptualization as those that have low pay, lack health insurance, and lack pension plans. We find that the Great Recession increased the prevalence of bad jobs, consistently for men and selectively for women. Among the macro-level processes, the decline of the manufacturing base, union membership, and public sector employment are sources of increasing bad jobs, especially for men. Those macro-level processes which are growing in influence such as casualization, globalization and financialization show no signs of reversing the negative trends in bad jobs. Human capital variables in the labor market such as educational and age variability consistently suggest more adverse effects on bad jobs for men than women. Our findings contribute to the further understanding of the nature of precarious work in a troubled economy.

The purpose of this chapter is to examine how multinational firms have an added incentive to promote corporate social responsibility (CSR) in order to maximize profitability and adapt to the changing normative climate in a post Great Recession economy.

This chapter builds on institutional theory using contextual evidence from Mexican firms to provide insight into the varying pressures facing local and multinational enterprises in emerging markets.

This chapter highlights different sets of pressures faced by emerging market firms, both domestic and multinational. This chapter contends that emerging market multinational enterprises (EMNEs) are incentivized to uphold CSR practices to a greater degree than domestic firms from emerging markets.

Contextual evidence for this chapter was confined to Mexican firms, which provides an opportunity for future research to be carried out from alternative emerging markets.

From a social standpoint, this chapter sheds light on the challenges of globalization and the current rift between national level policies, coinciding behavior, and global expectations. From a practical standpoint, this chapter could inform and alert CEOs and practitioners to the nuances of CSR expectations, contingent upon the sphere in which they choose to operate in.

This chapter contributes to the growing dialogue on EMNEs while highlighting the schism between national and global expectations for CSR. Further, this chapter adds to the literature on institutional theory by connecting it to the in-group and out-group literature from sociology.

At the time they occurred, the savings and loan insolvencies were considered the worst financial crisis since the Great Depression. Contrary to what was then believed, and in sharp contrast with 2007–2009, they in fact had little macroeconomic significance. Savings and Loan (S&L) remediation cost between 2 percent and 3 percent of Gross Domestic Product (GDP), whereas the Troubled Asset Relief Program (TARP) and the conservatorships of Fannie and Freddie actually made money for the US Treasury. But the direct cost of government remediation is largely irrelevant in judging macro significance. What matters is the cumulative output loss associated with and plausibly caused by failing financial institutions. I estimate output losses for 1981–1984, 1991–1998, and 2007–2026 (the latter utilizing forecasts and projections along with actual data through 2015) and, for a final comparison, 1929–1941. The losses associated with 2007–2009 have been truly disastrous – in the same order of magnitude as the Great Depression. The S&L failures were, in contrast, inconsequential. Macroeconomists and policy makers should reserve the word crisis for financial disturbances that threaten substantial damage to the real economy, and continue efforts to identify in advance financial institutions which are systemically important (SIFI), and those which are not.

This paper aims to assess the impact of 2008 recession (Great Recession)-led environmental turbulence on the manufacturing small and medium enterprise (SME) sector and its related competitive priorities.

A mixed methods research strategy, consisting of a survey of 104 manufacturing SMEs located in the UK, complemented by 17 in-depth interviews with senior management representatives from this survey group.

Senior managers have prompted a realignment of competitive manufacturing priorities accounting for external financial and market conditions. Differing competitive priorities post-recession are given to various areas of manufacturing decision-making, the greatest impact being on manufacturing costs. Manufacturing flexibility, performance in meeting customer deliveries and enhancing supplier selection are merited to increase priority with relatively little change for process technology, quality and environmental practices.

The sample of survey participants was relatively small, therefore prohibiting an assessment of differences in competitive priorities by sub-sectors of manufacturing SMEs. This was offset by a healthy number of informative, in-depth interviews that provided a richness of examples and insight into the shifting priorities for the sector.

Clear priorities have emerged around reducing manufacturing costs, being more flexible in manufacturing and improving outward performance relating to customers and suppliers.

This builds on established manufacturing strategy constructs and points to necessary competitive priority realignment focused on the performance areas listed above.

Entering and exiting the Pandemic Recession, the author study the high-frequency real-activity signals provided by a leading nowcast, the ADS Index of Business Conditions produced and released in real time by the Federal Reserve Bank of Philadelphia. The author tracks the evolution of real-time vintage beliefs and compares them to a later-vintage chronology. Real-time ADS plunges and then swings as its underlying economic indicators swing, but the ADS paths quickly converge to indicate a return to brisk positive growth by mid-May. The author shows, moreover, that the daily real-activity path was highly correlated with the daily COVID-19 cases. Finally, the author provides a comparative assessment of the real-time ADS signals provided when exiting the Great Recession.

This paper tests whether employers responded particularly negatively to African American job applicants during the deep U.S. recession that began in 2007. Theories of labor queuing and social closure posit that members of privileged groups will act to minimize labor market competition in times of economic turbulence, which could advantage Whites relative to African Americans. Although social closure should be weakest in the less desirable, low-wage job market, it may extend downward during recessions, pushing minority groups further down the labor queue and exacerbating racial inequalities in hiring. We consider two complementary data sources: (1) a field experiment with a randomized block design and (2) the nationally representative NLSY97 sample. Contrary to expectations, both analyses reveal a comparable recession-based decline in job prospects for White and African American male applicants, implying that hiring managers did not adapt new forms of social closure and demonstrating the durability of inequality even in times of structural change. Despite this proportionate drop, however, the recession left African Americans in an extremely disadvantaged position. Whites during the recession obtained favorable responses from employers at rates similar to African Americans prior to the recession. The combination of experimental methods and nationally representative longitudinal data yields strong evidence on how race and recession affect job prospects in the low-wage labor market.

The purpose of this paper is to examine the impact of the Great Recession on small- to medium-sized municipalities within the states of Georgia and Florida using a newly developed set of quantitative indices.

An examination of the methods and strategies utilized by individual cities to maintain public service levels despite distressed revenues is performed. From the data, performance measures are developed and used to evaluate the efficacy of the various strategies used by the cities. Outcomes of Georgia municipalities were compared to similarly sized Florida municipalities to study how underlying differences in tax structures and economies might have affected those outcomes.

Georgia and Florida municipalities relied on very different strategies for surviving the recession and its aftermath. Enterprise activities were critically important in both states with transfers to or from governmental activities rationalized in various ways. While Georgia is generally anti-property tax, more than half the Georgia municipalities relied on property tax increases to survive. Municipalities were unable to count on increased intergovernmental revenues during the recession. Finally, even with a tourist activity advantage, Florida municipalities fared only marginally better during and just after the recession, and fared worse four to six years post-recession.

The measures developed in this study provide a new, customizable methodology for the evaluation of financial condition that does not require in-depth comparisons to peers.

Small- and medium-sized cities, and especially those in rural areas, are worthy of targeted research to better understand their unique problems.

This research is novel in utilizing a fiscal condition methodology that can be applied to a single municipality and does not require comparisons to peers for validity. However, it represents a very intuitive and customizable tool for making comparisons between municipalities of any size when such comparisons are desired. Additionally, the focus of this study is on small- to medium-sized municipalities which generally do not receive as much research attention as larger cities.