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Cultural and creative industries (CCIs) have been argued to play an important role in achieving the sustainable development goals (SDGs). However, the mechanisms through which CCIs contribute to the attainment of SDGs remain underexplored. In this study, the authors adopt a network perspective to examine how the structure of a local CCI network relates to its local sustainability performance. By examining a database of 210,182 networked firms out of 1.34 million CCI firms across 294 cities in China, the authors conclude that both the scale and the density of a local CCI network improve the city’s performance in terms of attaining SDGs 8–12. The authors discuss the implications of these findings and propose future research avenues in international business.

Sustainable development is a central issue for the world economy today. The United Nation’s Sustainable Development Goals (SDGs) are associated with both responsible business practices and strategic orientation for competitive advantages. While most multinational enterprises (MNEs) want to ensure that their businesses will maintain or even enhance sustainability across borders, they face enormous challenges, often due to a lack of capabilities and inefficient institutions in host countries. In the nexus between the SDGs and international business (IB) research, the contexts of emerging markets and developing countries have particular significance, because they impose complex constraints on the achievement of the SDGs. At the same time, there is a high potential for MNEs to have positive effects internationally through their sustainable practices. This chapter discusses the recent trend in IB research on sustainability by showcasing current issues addressing several interrelated SDGs. The exemplary topics touch upon child labor, innovation for social sustainability, challenges in the green transition, MNE activities associated with the pollution haven, and health and safety concerns in global supply chains. The discussion cuts across various contextual settings and calls for actions by all stakeholders, including business entities, governments, and scholars.

This chapter reviews graphical modeling techniques for estimating large covariance matrices and their inverse. The chapter provides a selective survey of different models and estimators proposed by the graphical modeling literature and offers some practical examples where these methods could be applied in the area of health economics.

The main purpose of this chapter is to understand climate change disclosures to achieve sustainable development goals (SDGs) by discussing in the context of developed and emerging countries’ company cases. Therefore, companies have been selected from the Forbes Global (2000–2021) list by looking at their climate change disclosures in their official websites and their corporate reports. Climate change disclosures have been discussed based on impression management perspective. The results of the study are that some of the tactics used in the reports are at a level that can affect the stakeholders of the enterprises. Therefore, it has been observed that climate change and the steps taken in the issue of climate change are at the top of the priority lists of companies in these four countries. This study is valuable to understand how country perspective changes in climate change disclosures to enhance SDGs by implementing impression management tactics.

The study examines health care inequities in viral load testing among hepatitis C (HCV) antibody-positive patients. The analysis predicts whether individual and census tract sociodemographic characteristics impact the likelihood of viral load testing.

This a study of 26,218 HCV antibody-positive patients in Orange County, California, from 2010 to 2020. The case data were matched with the 2017 American Community Survey to help understand the role of neighborhood socioeconomic characteristics in testing for viral load. Multivariable logistic regression was used to predict the probability of ever testing for HCV viral load.

Thirty-six percent of antibody-positive persons were never viral load tested. The results show inequalities in viral load testing by sociodemographic factors. The following groups were less likely to ever test for viral load than their counterparts: (1) individuals under 65 years old, (2) females, (3) residents of census tracts with lower levels of health insurance enrollment, (4) residents of census tracts with lower levels of government health insurance, and (5) residents of census tracts with a higher proportion of non-white residents.

This is a secondary database from public health department reports. Using census tract data raises the issue of the ecological fallacy. Detailed medical records were not available. The results of this study emphasize the social inequality in viral load testing for HCV. These groups are less likely to be treated and cured, and may spread the disease to others.

This chapter is unique as it combines routinely collected public health department data with census tract level data to examine social inequities associated with lower rates of HCV viral load testing.

In our studies of daily newspapers and news websites in small and medium-sized cities in Brazil, we view these enterprises as firms endowed with specific strengths and weaknesses reflecting the characteristics of the localities in which they operate. In addition, we use references from urban geography and the industrial economy to investigate their structure, conduct, and performance. This chapter presents our observations about the structure of these firms and the journalistic business in non-metropolitan cities of the State of Rio de Janeiro. The results point to greater consolidation of newspapers, despite their traditional way of operating; the low performance of news websites and their restricted source of revenue; and the existence of a potential regional market little explored by these media.