Modelling the Evolution of National Economies Based on Input–Output Networks

Duan, Wenqi

doi:10.1007/s10614-011-9261-3

Cited by 7 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The object of study of this manuscript, the economic system and its structural change, is closely related to the multidisciplinary literature of the input-product network and the international trade network [2,4,18,47,22]. These investigations apply complex networks for the analysis of the relationships between sectors of economic activities and between countries, and the implications of these relationships in certain economic phenomena over time.…”

mentioning

confidence: 99%

Structural change and economic dynamics: Rethinking from the complexity approach

Alatriste‐Contreras¹,

Brida²,

Anyul³

2019

Journal of Dynamics &Amp; Games

View full text Add to dashboard Cite

Economic systems have evolved through time thereby changing the structure that characterizes them. These changes respond to technological changes that transform economies into highly interconnected systems. The modifications in the norms that guide the behaviour of organizations and, therefore the functioning of the economy, are a first case of this transformation. The industrialization process, through the incorporation of increasing returns to scale in different sectors, and the introduction of service activities are other examples. Another form to represent structural change is the change of the values of the variables that characterize the state space of an economic system. This research article is an effort to put together and compare, from the complexity approach, different approaches for structural change and dynamics of economic systems. We start by briefly presenting the complexity approach in general and in economics. Then, we put forward three approaches highlighting structural change.

show abstract

mentioning

confidence: 99%

Structural change and economic dynamics: Rethinking from the complexity approach

Alatriste‐Contreras¹,

Brida²,

Anyul³

2019

Journal of Dynamics &Amp; Games

View full text Add to dashboard Cite

show abstract

“…This approach has provided new insights in understanding complex phenomena in various fields ranging from biology to economics and finance (Cerina et al 2015). National economies which composed of a large number of heterogeneous industries with adaptively trading interactions are typically complex systems (Duan 2011). From this perspective, the ION (Input-Output Networks) system can be regarded as a network where the nodes are the individual industries and the edges are the monetary goods flows between industries.…”

Section: Introductionmentioning

confidence: 99%

Topological Properties of China Input-Output Networks

Zhuang¹,

Hou²

2018

aeb

View full text Add to dashboard Cite

The aim of this paper is to contribute to a better understanding of developments and changes of China economy from the perspective of input-output networks between 1990 and 2013. Through choosing a network-based approach and combining this with input-output data we are able to analyze the changes and evolutions of centralities, which measured by strength centrality and clustering coefficient, and some extend measures based on centrality including import penetration, international outsourcing and distance to final demand. Our findings show that the basic impression about China input-output networks is that flows are concentrated on some minority points, and also concentrated on the diagonal line obviously, and the self-inputs by industries are normal and significant. Moreover, during recent years the trend of lower and wider peak of the density strength centrality curves illustrates the more balance of China economy than at the beginning of this century, and construction has always been the pillar industry. The changes of distribution of import penetration have been flatter and lower since 1990 and then narrower and higher about after 2001. This trend means that after 2001 most of China industries decrease the dependencies of import from outside. Some trade pattern in measures of distance to final demand and clustering coefficient are exhibited in this paper.

show abstract

“…Modelling dynamic production networks is a challenging problem, involving heterogeneous inputoutput patterns and input elasticities [32]. Recent models consider firms that endogenously form inputoutput linkages [33,34,35]; others consider firms deciding how to source their inputs in a risky supply chain with one [36,37] or more [38,39,40] tiers. Missing is an understanding of how fast dynamics in economic networks, such as disruptions in supply chains, affect their long-run evolution and their growth in complexity.…”

mentioning

confidence: 99%

Contagious disruptions and complexity traps in economic development

Brummitt

Huremović

et al. 2017

Nat Hum Behav

View full text Add to dashboard Cite

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, government failures---that systematically thwart the production process. To understand how these disruptions affect economic development, we model an evolving input--output network in which disruptions spread contagiously among optimizing agents. The key finding is 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 of gradual increases in technological complexity.Comment: Main text: 10 pages, 6 figures. Supplementary Information: 15 pages, 1 figur

show abstract

Modelling the Evolution of National Economies Based on Input–Output Networks

Cited by 7 publications

References 13 publications

Structural change and economic dynamics: Rethinking from the complexity approach

Structural change and economic dynamics: Rethinking from the complexity approach

Topological Properties of China Input-Output Networks

Contagious disruptions and complexity traps in economic development

Contact Info

Product

Resources

About