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This paper aims to examine the COVID-19 pandemic’s impacts on the regional progression toward the Sustainable Development Goals (SDGs) through the lens of the adoption of 2030 Agenda by firms from different Italian regions.

Mixed methods were adopted. First, a content analysis was performed on 330 nonfinancial declarations released in the 2019–2021 period by a sample of 110 Italian listed companies from different regional macroareas. Second, regression analyses were run to test the impact of regional localization of businesses on SDGs adoption over pre-/during/post-COVID era.

The regional localization of businesses does not affect the SDGs adoption in the pre-COVID-19 era because Italian firms mainly address social goals. Instead, SDGs adoption is affected by regional localization of businesses both during and post-COVID-19 age, when Northern firms prioritize economic and social goals, whereas Southern firms shift from social to environmental goals.

This study fills the need of considering the subnational specificities in literature on sustainable development by capturing connections between firms, belonging territory, SDGs and COVID-19 crisis.

This study aims to examine the effect of ownership structure on financial performance of commercial banks in Kenya.

The data were collected from audited financial statements of 39 commercial banks in Kenya for the period 2009–2020.

Regression results found evidence of ownership structure explaining commercial banks’ financial performance. The results found a negative association between state ownership and net interest margin, a negative association between management ownership and net interest margin and a negative association between institutional ownership and return on assets.

Based on the findings, commercial bank management should therefore devise ownership structure policies that are geared toward boosting their financial performance both in the short run and the long run. Second, this study recommends a minority shareholding of the state in commercial banks to deter political interference, protect investors’ wealth from erosion and allow the majority shareholders to adopt a strong corporate governance mechanism for higher financial performance. Banks with a high percentage of state ownership should consider partial privatization to improve corporate governance practices. Third, banks should adopt a managerial ownership policy limiting the proportion of equity stock held by executives to limit their powers in strategic decision-making. Fourth, this study proposes a percentage limit on the equity stock of an institutional investor to eliminate bureaucracy in strategic decision-making and protect investors’ wealth.

The study finding is meant to inform regulation and operation policies in the banking sector and contribute to the literature on ownership structure, especially in the banking sector.

This study aims to analyse the structure of the Indian vaccine supply chain (SC) during the Covid-19 crisis and explore the underlying challenges at each stage in the network. It also brings out the difference in performance of various constituent states.

This study relied on both primary and secondary data for the analyses. For the primary data, the study gathered experts’ opinions to validate the authors’ inferences. For the secondary data, it relies on government data provided in websites.

Based on the quartile analysis and cluster analysis of the secondary data, the authors find that the constituent states responded differently during the first and second waves. This was due to the differences in SC characteristics attributed to varied demographics and administrative efficiency.

This paper’s analyses is primarily limited to secondary information and inferences are based on them. The study has important implications for implementing the large-scale vaccination drives by government and constituent states for better coordination and last-mile delivery.

The contribution is unique in studying the performance of constituent states using statistical techniques, with secondary data from authentic sources. It is also unique in combining this observation with validation from experts.