Vulnerability, Resilience and Exposure: Methodological Aspects

Modica, Marco; Reggiani, Aura; Nijkamp, Peter

doi:10.1007/978-3-030-16237-5_12

Cited by 13 publications

(9 citation statements)

References 81 publications

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“…The higher is the level of resilience, the lower is the impact of shocks on the system. As for vulnerability, resilience is measured by starting from a composite index following Modica et al (2019) and Marin et al, (2021), which accounts for 13 socio-economic variables. 4 Aggregation, weighting and normalisation follows the same procedure used for vulnerability, leading to an indicator of resilience ranging from 0 (low resilience) and 1 (high resilience).…”

Section: Resilience (𝑅𝑒𝑠 𝑖mentioning

confidence: 99%

Fiscal Policy Response of Local Governments to Floods in Italy

Modica

Lodi

2022

SSRN Journal

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Section: Resilience (𝑅𝑒𝑠 𝑖mentioning

confidence: 99%

Fiscal Policy Response of Local Governments to Floods in Italy

Modica

Lodi

2022

SSRN Journal

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“…According to the literature, three main definitions of resilience where identified: i) the ability to recover from a shock, ii) the ability to resist to a shock and iii) the ability to adapt after a shock or to develop new growth paths (Boschma, 2015). Modica et al (2018) identified two major characteristics of resilience: the ability to recover from shocks and the degree of preparedness.…”

Section: Literature Reviewmentioning

confidence: 99%

Vulnerability and Resilience in Health Crises. Evidence From European Countries

Dimian

Apostu

Vasilescu

et al. 2021

Technological and Economic Development of Economy

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The purpose of this paper is to draw the first lessons from the on-going coronavirus crisis and to identify viable solutions for what should become the goal of any country: transforming their own economies into sensitive and responsive economies regarding public health problems. The originality of our approach is given by its objective as well as the strategy employed for verifying research hypotheses. The objective is twofold: detecting the indicators that may constitute signals for the vulnerability of countries in times of health crisis and highlighting the underlying factors of the resilience capacity. Many indicators have been considered: six indicators concerning Covid-19 pandemic and 27 socio-economic indicators. Three main hypotheses have been formulated and tested using various statistical methods. Our findings provide deep insights for understanding how Covid-19 crisis is correlated to specific economic (urbanization, sectorial employment, health system) and demographic factors (aging, mortality). The study has succeeded in identifying the pattern of a country with greater resilience and better ability to cope with a health crisis. Our results could be useful when forecasting the spread of another pandemic wave, its impact on people’s health and estimating how some markets will be reshaped.

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“…To limit the bias arising from omitted variables, the vector X includes a number of controls at the firm, sector and LMA levels. We constraint our control variable choices to the ones that could prompt or reduce the resilience of the firms and regions under analysis (see Modica, Reggiani, & Nijkamp, 2019). We account for structural variables, trade variables, public support programmes, firm characteristics and flexible regional and sectoral controls.…”

Section: Empirical Analysis: Local Demand Shocks Exposure To the Crisis And Firms' Survivalmentioning

confidence: 99%

Local demand shocks and firms' survival: An application to the Italian economy during the Great Recession

Modica

2021

Papers in Regional Science

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The Italian economy is characterised by a large number of micro‐firms and small firms and by a long‐lasting gap between North and South Italy. Therefore, global shocks – such as the Great Recession – have had a heterogeneous impact at the local level: the collapse in private demand was unequally distributed across different products, services and regions. The aim of this paper, therefore, is to evaluate the impact of the Great Recession on firm's survival for the universe of Italian firms in the light of two relevant indicators: local exposure to crisis and local demand shocks. The results suggest a strong negative impact of local demand shocks on the survival of firms, whereas the degree of exposure to the crisis generally has a weak effect.

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Vulnerability, Resilience and Exposure: Methodological Aspects

Cited by 13 publications

References 81 publications

Fiscal Policy Response of Local Governments to Floods in Italy

Fiscal Policy Response of Local Governments to Floods in Italy

Vulnerability and Resilience in Health Crises. Evidence From European Countries

Local demand shocks and firms' survival: An application to the Italian economy during the Great Recession

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