Jemli, R (2020) The importance of natural disasters' governance for macroeconomic performance and countries resilience. International Journal of Disaster Resilience in the Built Environment, 12(4), pp. 387-399. ISSN 1759-5916
Abstract
Purpose: Natural disasters can undermine decades of development and threaten hundreds of lives. Previous research studies highlighted that natural disasters can cripple economic growth of one or many countries. The purpose of this paper is to ask the usefulness of natural disasters governance for macroeconomic performance and countries' resilience. For that, this research emphasizes on the effects of natural disasters economic damages on the macroeconomic performance. Design/methodology/approach: The used technique is the unbalanced panel data model which allows testing a big cross-section of population despite when one temporal observation for an individual is unavailable. The methodology focuses on testing the effect of natural disasters' economic damages upon the main macroeconomic aggregates. For the study relevance, various tests were carried out by taking into account the different levels of development. So, two groups have been studied: developing countries (LDCs group) and developed countries (DCs group). Findings: Findings point up that the effects of natural disasters' economic damages differ from aggregate to another. In spite of the differences according to the development levels, effects are more serious for developing countries. Originality/value: The originality of paper is justified by the lack of empirical studies that have questioned the links between natural disasters, macroeconomic performance and countries' resilience. Furthermore, this study can be distinguished by the analysis of the effects for various aggregates at once and, in the same time, by allowing the comparison of these impacts by level of development.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | disaster prevention; growth and environment; macroeconomic aggregates; resilience; risk management; unbalanced panel data model |
| Index terms: | damages, macroeconomic performance, natural disaster, developing country, disaster prevention, level of development, data model, methodology, population, developed country, aggregate, governance, testing, economic growth, empirical study, risk management |
| Subjects: | economic analysis, professional practice, data science, dispute resolution, materials science, business, risk assessment, environmental hazards, demography, financial risk, development economics, research methods, economic development, design practice |
| Topics: | Governance, Sustainability, Risk Management, Engineering Principles, Research Practice, Business Strategy, Cost Management, International Construction, Urban Studies, Digital Applications, Legal Issues, Design Practice |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here