Social Networks Analysis in Accounting and Finance*

Social network analysis (SNA) examines whether interactions between individuals, teams, and organizations result in network structures and patterns that can explain important outcomes, including firm performance, management reporting behaviors, investor beliefs, and audit outcomes. This paper reviews the growing body of work on SNA in accounting and finance research, focusing on 162 articles published between 2000 and 2021, and offers a roadmap that may help move this literature forward. Our survey summarizes the elements of SNA, organizes this literature within a theoretical framework, and provides a thematic discussion of the context and contribution of the selected studies. We also discuss opportunities and challenges for future research. Finally, we include an empirical illustration of the key concepts and tools of SNA. We believe that SNA will continue to offer an interesting avenue for conducting high-impact and cross-disciplinary research in accounting and finance.     

Manufactured regional crises: The Middle East and North Africa under global food regimes

The current agrarian and food crisis in the Middle East and North Africa (MENA) has been interpreted through a number of tropes. Within the dominant mainstream discourse, the MENA region is often depicted as a homogenous geographical area characterized by dryness, infertile lands and poor water resources. How did imperialism, colonialism and the Cold War influence the MENA food systems? What were the effects of trade liberalization and neoliberalism on the agricultural systems in the region? These are some questions that this paper will try to answer using a geographical and historical-comparative analysis, through a food regimes lens. Understanding contemporary social relations dynamics cannot be limited to the recent period. Agriculture and food in the MENA region are anchored in the history of power relations ruled by flows of capital and the shaping of ecological transformations during the longue durée of capitalism and its corresponding modes of control and regulation.     

The probability of multidimensional poverty: A new approach and an empirical application to EU-SILC data

This paper proposes a novel method to analyze multidimensional poverty by using a large set of feasible weights to summarize the information about the poor, which enables remaining agnostic about the relative importance given to different poverty dimensions. This method allows for the calculation of the individual probability of being poor in a multidimensional perspective. The distribution of individual probabilities can then be combined with Generalized Lorenz dominance techniques to derive unanimous consent for a wide class of social welfare functions with a minimum load of value judgments. The innovations proposed here allow to move from a dual definition of poverty, where poor and non-poor individuals are classified in a mutually exclusive context, to a continuous measure of deprivation capturing both the extensive and intensive margin of multidimensional poverty. The empirical application of the method consists of measuring multidimensional poverty in ten selected countries using four waves of EU-SILC data (2008–2014).