Predicting US county economic resilience from industry input-output accounts

Han, Yicheol; Goetz, Stephan J.

doi:10.1080/00036846.2018.1539806

Cited by 53 publications

(30 citation statements)

References 40 publications

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“…General resilience index based on factors, influencing resilience Multicriteria evaluation methods [23,[49][50][51] Resilience index, based on the measurements of core function/-s of a particular system (e.g., GDP or employment for a country)…”

Section: Indicesmentioning

confidence: 99%

A Multi-Criteria Approach for Assessing the Economic Resilience of Agriculture: The Case of Lithuania

et al. 2021

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This study presents an innovative approach to measuring economic resilience at a sectoral level. The notion of economic resilience is explored through the lens of levels of resilience of the main functions of a researched economic sector. The overall level of sectoral economic resilience is seen as a weighted sum of resilience indexes related to its main economic functions. Such a comprehensive approach is universal, as it allows to measure economic resilience of various economic sectors. For the empirical application, the agricultural sector of Lithuania was selected for analysis of resilience. The results revealed that the overall level of resilience declined in Lithuanian agricultural sector during 2012–2019. Such a persistent trend may pose an increasing risk for food security in Lithuania in the future. The most evident negative changes in the economic resilience levels are observed in terms of economic viability of farms. The most robust levels of economic resilience are indicated in the sense of ability to provide local food at affordable prices.

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Section: Indicesmentioning

confidence: 99%

A Multi-Criteria Approach for Assessing the Economic Resilience of Agriculture: The Case of Lithuania

et al. 2021

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“…Last but not least, a wide array of other socioeconomic and geographic factors are related to economic decline or resilience (Han and Goetz (2019); Partridge and Tsvetkova (2017)) that were not considered in this study. Some interesting factors include the effects on drug overdose fatalities of unemployment compensation (State vs. non-State) and educational assistance payments and worker displacement due to global trade or technological advancement.…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

Explaining Spatial Disparities in Fatal Drug Overdoses, 1970-2016

Davlasheridze¹,

Goetz²

2021

Review of Regional Studies

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The opioid crisis has impacted many regions of the United States, transcending socioeconomic, demographic, and political divides and leading to urgent calls for public health and law enforcement interventions. It has hit both micropolitan and rural smaller communities especially hard, with severe increases in prescription drug-induced fatalities over time. This paper explores socioeconomic determinants and spatial disparities of fatalities caused by drug and opioid overdose (both intentional and unintentional), focusing specifically on rural-urban differences and understanding the separate role of net farm income in the drug overdose crisis. Our panel data analysis of all US counties spanning the 1970-2016 period indicates that rurality, as measured by lower population density, is associated with higher deaths rates. Importantly, while our research suggests that the opioid crises went hand in hand with declining net farm income, the effect appears to be small. Specifically, we estimate that each $10,000 reduction in net income per farm is associated with a 0.04 increase in overdose age-adjusted deaths per 100,000 people. This effect is more prominent in counties with persistent poverty, which also is predominantly rural. Given the pronounced variability in farm financial indicators over time, the relative health of the farm sector in rural areas may warrant more attention if the pressing health crisis is to be addressed effectively.

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“…Regional industrial data has been analyzed as networks of industries linked by the relatedness of production based on co-occurrence to examine regional diversification over time [21]. National input-output tables have been analyzed as networks of trade with standard network centrality measures applied to analyze the network and relationships regarding regional economic resilience [22]. Finally, the co-occurrence of skills in industries and occupations has been conceptualized as networks to examine the inter-relatedness of skills [23,24].…”

Section: Introductionmentioning

confidence: 99%

Impacts of Skill Centrality on Regional Economic Productivity and Occupational Income

Waters

Shutters

2022

Complexity

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A well-developed perspective in the study of urban systems is that cities are complex systems that manifest as networks of interdependent economic units. These units might be occupations, industries, labor skills, patent technologies, etc. Much research has focused on describing the nature of these networks, quantifying their links, and suggesting applications for policymakers. In this paper, we examine the US skill network, focusing on the relationship between network centrality and economic performance. Here, nodes are represented by individual labor skills, and edge weights are derived from the colocation pattern of skill pairs among 384 US metropolitan statistical areas. The centrality of skills, using three centrality measures, is then aggregated to the occupational and metropolitan level. We find that occupations with higher skill centrality are associated with greater annual salaries, and metropolitan areas with higher skill centrality have higher productivity rates. Overall, these results suggest that the application of traditional network metrics to this view of cities as complex networks can offer new insights into the dynamics of regional economies.

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Predicting US county economic resilience from industry input-output accounts

Cited by 53 publications

References 40 publications

A Multi-Criteria Approach for Assessing the Economic Resilience of Agriculture: The Case of Lithuania

A Multi-Criteria Approach for Assessing the Economic Resilience of Agriculture: The Case of Lithuania

Explaining Spatial Disparities in Fatal Drug Overdoses, 1970-2016

Impacts of Skill Centrality on Regional Economic Productivity and Occupational Income

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