Poor economies not only produce less; they typically produce things that involve fewer inputs and fewer intermediate steps. Yet the supply chains of poor countries face more frequent disruptions-delivery failures, faulty parts, delays, power outages, theft and government failures-that systematically thwart the production process. To understand how these disruptions affect economic development, we modelled an evolving input-output network in which disruptions spread contagiously among optimizing agents. The key finding was that a poverty trap can emerge: agents adapt to frequent disruptions by producing simpler, less valuable goods, yet disruptions persist. Growing out of poverty requires that agents invest in buffers to disruptions. These buffers rise and then fall as the economy produces more complex goods, a prediction consistent with global patterns of input inventories. Large jumps in economic complexity can backfire. This result suggests why 'big push' policies can fail and it underscores the importance of reliability and gradual increases in technological complexity.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1038/s41562-017-0190-6 | DOI Listing |
BMC Plant Biol
December 2024
Henan Province Key Laboratory of Germplasm Innovation and Utilization of Eco- economic Woody Plant, Pingdingshan University, Pingdingshan, Henan, 467000, China.
Background: Fruit size is a crucial economic trait that impacts the quality of jujube (Ziziphus jujuba), however, research in this area remains limited. This study utilized two jujube cultivars with similar genetic backgrounds but differing fruit sizes to investigate the regulatory mechanisms affecting fruit size through cytological observations, transcriptome sequencing, and heterologous overexpression.
Results: The findings reveal that variations in mesocarp cell numbers during early fruit development significantly influence final fruit size.
Nat Aging
December 2024
Mailman School of Public Health, Columbia University, New York, NY, USA.
We have previously presented a multidimensional Aging Society Index, a weighted summation of five domains central to successful adaptation to societal aging: well-being, productivity and engagement, equity, cohesion and security, as a tool to assess countries' adaptation to demographic transformation. As the index was based on data from developed countries and some of the individual metrics or weightings may not be well suited for application to low- and middle-income countries, we here present the scores on a modified index (Global Aging Society Index) on 143 countries distributed across the span of economic development. Only 5 out of 143 (3.
View Article and Find Full Text PDFSci Rep
December 2024
К.A. Timiryazev Institute of Plant Physiology RAS, IPP RAS, 35 Botanicheskaya St., Moscow, 127276, Russia.
In this study, based on the results of molecular analysis of SSU rRNA and rbcL sequences, we propose the descriptions of two new families in the order Cymbellales. Molecular data demonstrates that diatoms of the genus Encyonema constitute an independent monophyletic clade, which represents a new family described herein - Encyonemataceae fam. nov.
View Article and Find Full Text PDFSci Rep
December 2024
Centre for Veterinary Systems Transformation and Sustainability, Clinical Department for Farm Animals and Food System Science, University of Veterinary Medicine Vienna, Vienna, Austria.
The early microbial colonization of the porcine gut is an important priming factor for gut and immune development. Nevertheless, little is known about the composition of microbes that translocate into the ileo-cecal lymph nodes (ICLN) in the neonatal phase. This study aimed to characterize age- and nutrition-related changes in the metabolically active bacterial and fungal composition of the ICLN in suckling and newly weaned piglets.
View Article and Find Full Text PDFSci Rep
December 2024
Science and Research Branch, Islamic Azad University, Tehran, Iran.
The growing global demand for water and energy has created an urgent necessity for precise forecasting and management of these resources, especially in urban regions where population growth and economic development are intensifying consumption. Shenzhen, a rapidly expanding megacity in China, exemplifies this trend, with its water and energy requirements anticipated to rise further in the upcoming years. This research proposes an innovative Convolutional Neural Network (CNN) technique for forecasting water and energy consumption in Shenzhen, considering the intricate interactions among climate, socio-economic, and demographic elements.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!