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We study the classical problem of raising capital under asymmetric information. Following Myers and Majluf, we consider firms endowed with assets in place and riskier growth opportunities. When asymmetric information is concentrated on assets in place (rather than growth opportunities), equity-like securities are more likely to be optimal. In contrast, when asymmetric information falls on growth options, debt is optimal. Intuitively, this happens because when the asset with greater volatility is less affected by asymmetric information, issuing a security with greater exposure to upside potential (such as equity) can be less dilutive than issuing a security lacking such exposure (such as debt). Our results suggest that equity is more likely to dominate debt for younger firms with larger investment needs, endowed with riskier, more valuable growth opportunities. Thus, our model can explain why high-growth firms may prefer equity over debt, and then switch to debt financing as they mature.

Humanity's most pressing need is to learn how to live within our planet's boundaries - something that likely means doing without economic growth. How, then, can we create a non-growth society that is both just and equitable? I attempt to address this question by looking at an aspect of sustainability (and equity) that is not often discussed: the growth of hierarchy. As societies consume more energy, they tend to become more hierarchical. At the same time, the growth of hierarchy also seems to be a key driver of income/resource inequality. In this essay, I review the evidence for the joint relation between energy, hierarchy and inequality. I then speculate about what it implies for achieving a sustainable and equitable future.

Throughout the Holocene, societies developed additional layers of administration and more information-rich instruments for managing and recording transactions and events as they grew in population and territory. Yet, while such increases seem inevitable, they are not. Here we use the Seshat database to investigate the development of hundreds of polities, from multiple continents, over thousands of years. We find that sociopolitical development is dominated first by growth in polity scale, then by improvements in information processing and economic systems, and then by further increases in scale. We thus define a Scale Threshold for societies, beyond which growth in information processing becomes paramount, and an Information Threshold, which once crossed facilitates additional growth in scale. Polities diverge in socio-political features below the Information Threshold, but reconverge beyond it. We suggest an explanation for the evolutionary divergence between Old and New World polities based on phased growth in scale and information processing. We also suggest a mechanism to help explain social collapses with no evident external causes.

Most recent macro trends - cloud compute, social, mobile, crypto, AI - that have reshaped the technology landscape are rooted in new technical capabilities or pushing the frontier of product form factors. Another shock to the system is emerging today, driven not by the underlying technology, but by an evolution in customer buying behavior. For shorthand, we think of this trend as "growth+sales": the bottom-up growth motion eventually layered with top-down sales.

"On Sept. 20, the International Monetary Fund  painted a stark portrait of income inequality in China, with officials writing in a blog post that "More than two decades of spectacular economic growth in China have raised incomes dramatically and lifted millions of people out of poverty. But growth hasn't benefited all segments of the population equally. In fact, China has moved from being moderately unequal in 1990 to being one of the world's most unequal countries.""

Groups of firms often achieve a competitive advantage through the formation of geo-industrial clusters. Although many exemplary clusters are the subjects of case studies, systematic approaches to identify and analyze the hierarchical structure of geo-industrial clusters at the global scale are scarce. In this work, we use LinkedIn's employment history data from more than 500 million users over 25 years to construct a labor flow network of over 4 million firms across the world, from which we reveal hierarchical structure by applying network community detection. We show that the resulting geo-industrial clusters exhibit a stronger association between the influx of educated workers and financial performance, compared to traditional aggregation units. Furthermore, our analysis of the skills of educated workers reveals richer insights into the relationship between the labor flow of educated workers and productivity growth. We argue that geo-industrial clusters defined by labor flow provide useful insights into the growth of the economy.

A microbial community is a complex, dynamic system composed of hundreds of species and their interactions, they are found in oceans, soil, animal guts and plant roots. Each system feeds the Earth's ecosystem and their own growth, as they each have their own metabolism that underpin biogeochemical cycles. The same community-level metabolic rates are exploited in biotechnology for water treatment and bioenergy production from organic waste, thus the ability to capture microbial growth rates and metabolic activities within the communities is key for modeling of planetary ecosystem dynamics, animal and plant health and biotechnological waste valorzation.

In anticipation of his forthcoming article on Social Democracy in PSL Quarterly, and a Phenomenal World series on the topic, we begin this interview by discussing alternatives to financial liberalization, before turning to a discussion on the future of welfare politics, development strategy, and contemporary models of economic growth.

In rodents with type 2 diabetes, a single surgical injection of a protein called fibroblast growth factor 1 can restore blood sugar levels to normal for weeks or months. Yet how this growth factor acts in the brain to generate this lasting benefit has been poorly understood.