Country logistics performance and disaster impact

Vaillancourt, Alain; Haavisto, Ira

doi:10.1111/disa.12146

Cited by 17 publications

(14 citation statements)

References 59 publications

(119 reference statements)

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“…They view corruption as an element of political risk. Vaillancourt and Haavisto (2016) analyze national logistics performance (using the LPI) as a predictor of number of people affected by disasters in 117 countries from 2007 to 2012. With a series of multiple regression models, they identify the LPI, the HDI and population as significant predictors of number of people affected by disasters.…”

Section: Control Variable -Gdp/capitamentioning

confidence: 99%

Corruption, gender inequality and logistics performance

Larson

2020

IJLM

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Purpose The purpose of this paper is to develop and test theory-driven hypotheses on the influence of corruption and gender inequality on logistics performance. Design/methodology/approach This paper develops hypotheses based on a review of the literature and theory linking corruption, gender inequality and logistics performance. Testing the hypotheses draws on the following secondary data sources: the World Bank Logistics Performance Index, Transparency International’s Corruption Perceptions Index and the United Nations Development Programme Gender Inequality Index. Regression analysis is used to test the hypotheses. Findings A significant direct effect is evident between corruption perceptions and perceived logistics performance. Corruption is detrimental to logistics. Further, there is evidence of an indirect effect, via gender inequality. Gender inequality is also linked directly to lower logistics performance. Gross domestic product/capita enters the analysis as a control variable. Research limitations/implications While the analysis uses secondary data, sources are credible and their methods – while not perfect – are logical and appear to be reasonable. It is possible that excluded variables could further explain the relationships under study. This implies future research opportunities, perhaps involving case studies of specific nations. Practical implications The results should inspire businesses, non-governmental organizations and governments to invest in, aid, advocate for and legislate toward greater gender equality – and against corruption. Logistics educators have an important role in disseminating this message. Social implications Gender inequality and corruption are current, global social issues. Moving forward toward equality and away from corruption are the right moves. Such moves appear to also yield better logistics. Originality/value This paper is among the first linking corruption and gender inequality to logistics performance. It shows how social issues impact logistics performance at a national level.

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Section: Control Variable -Gdp/capitamentioning

confidence: 99%

Corruption, gender inequality and logistics performance

Larson

2020

IJLM

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“…The control variables are: a) the number of disasters in ln form (source: EM-DAT), which may capture the exposure of a country to disasters (Tselios and Tompkins 2017;Escaleras and Register 2012); b) the number of people engaged in millions in ln form (source: PWT), which is a proxy for the marketsize effect (Vaillancourt and Haavisto 2016;Escaleras and Register 2012;Yamamura 2012); c) the 10 SOCX was developed to serve a growing need for indicators of social policy and is based on the work of Adema, Fron and Ladaique (2011). This database includes reliable and internationally comparable statistics on public and (mandatory and voluntary) private social expenditure at the programme level.…”

Section: Data and Variablesmentioning

confidence: 99%

“…14 https://data.worldbank.org/indicator total factor productivity (tfp) at constant national prices (source: PWT), which is a proxy for the technological progress and innovation and it is an important factor because if new technology is adapted, it makes the buildings more efficient; d) the population density (i.e. people per square km of land area) in ln form (source: WB), which usually captures agglomeration effects (Vaillancourt and Haavisto 2016); and e) the population in the largest city (i.e. percentage of urban population), which is the percentage of a country's urban population living in that country's largest metropolitan area (source: WB), and is likely to represent the urban hierarchical structure of a country.…”

Section: Data and Variablesmentioning

confidence: 99%

What causes nations to recover from disasters? An inquiry into the role of wealth, income inequality, and social welfare provisioning

Tselios

Tompkins

2019

International Journal of Disaster Risk Reduction

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Disasters affect significant numbers of people in the poorest parts of the world. The main impediment to progress in reducing the extent of disaster outcomes appears to come from inabilities to address macro-economic drivers of vulnerability. This study examines the association between three key drivers of vulnerability, i.e. wealth/poverty, income inequality and the absence/presence of social welfare systems, and short-term and long-term disaster outcomes.Drawing on lengthy time-series data, we apply a data driven approach, focusing only on those countries that have experienced major natural or technological disasters, to generate new understanding of these drivers. Our study finds that in relation to natural hazards: less developed countries experience worse human impacts than more developed countries; developed countries suffer larger economic losses; countries with greater levels of income inequality have more people affected than in more equal countries; and social welfare (using both Sen's indexes and public social spending) in OECD countries appears to reduce the human impacts of disasters. We also conclude that the human impacts of natural disasters delay economic growth in poor countries. For the technological hazard-associated disasters, while there is no evidence that national wealth and income inequality determine human impacts, we find that larger human impacts in poor countries undermines economic growth. Our key finding is the unequivocal and central role of income inequality in shaping disaster outcomes. Future research and policy on disaster risk reduction has to acknowledge this 'elephant in the room'.

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“…Protracted operations are, nevertheless, not expected to be smooth and free of the multiple disruptions that impede the assistance efforts. This is because humanitarian organisations typically operate in countries where, among other things, insecurity prevails, administration and business practices are inefficient, the infrastructure is not appropriately developed or has been destroyed, and/or the logistics capacity is inadequate (Vaillancourt and Haavisto, 2015).…”

Section: Related Terms Used In the Literaturementioning

confidence: 99%

Supply chain agility in humanitarian protracted operations

L'Hermitte

Tatham

Brooks

et al. 2016

Journal of Humanitarian Logistics and Supply Chain Management

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Purpose – The purpose of this paper is to extend the concept of agility in humanitarian logistics beyond emergency operations. Since the humanitarian logistics literature focuses primarily on emergencies and sees longer term and regular operations as being conducted in relatively stable and predictable environments, agile practices are usually not associated with humanitarian protracted operations. Therefore, this paper explores the logistics and supply chain environment in such operations in order to identify their basic features and determine if agility is an important requirement. Design/methodology/approach – Using a case study of the United Nations World Food Programme, the authors collected and analysed qualitative and quantitative data on the characteristics of protracted operations, the risks and uncertainties most frequently encountered, their impact, and the ways that field logisticians manage contingencies. Findings – The research demonstrates that unpredictability and disruptions exist in protracted operations. Therefore, short-term operational adjustments and agile practices are needed in order to support the continuity of humanitarian deliveries. Research limitations/implications – Future research should focus on a wider range of humanitarian organisations and move from a descriptive to a prescriptive approach in order to inform practice. Notwithstanding these limitations, the study highlights the need for academics to broaden the scope of their research beyond emergencies and to address the specific needs of humanitarian organisations involved in longer term operations. Originality/value – This paper is the first empirical research focusing exclusively on the logistics features of humanitarian protracted operations. It provides a more concrete and complete understanding of these operations.

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Country logistics performance and disaster impact

Cited by 17 publications

References 59 publications

Corruption, gender inequality and logistics performance

Corruption, gender inequality and logistics performance

What causes nations to recover from disasters? An inquiry into the role of wealth, income inequality, and social welfare provisioning

Supply chain agility in humanitarian protracted operations

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