Chapter 2: Natural Disasters and Sustainable Development

Similar documents
Chapter 2: Natural Disasters and Sustainable Development

Chapter 2: Natural Disasters and Sustainable Development

Natural Disasters in 2007: An Analytical Overview

9,697 Dead people. 96 million People affected. Lower mortality, higher cost

Hydro-Meteorological Disasters and their Impact on Sustainable Development : Asian Perspective

REDUCING DISASTER RISK a challenge for development

Regional trends on gender data collection and analysis

Addressing disaster risk reduction and development through improved data on disasters*

ESTABLISHMENT OF COUNTRY-BASED FLOOD RISK INDEX

The LDC criteria and indicators

In Support of Bangladesh s Sustainable LDC Graduation

Disasters and Climate Change: Hazards of Nature or Risks from Development

Disaster Risk Reduction

Methodology Calculating the insurance gap

FINANCE TO ENSURE ASIA S ECONOMIC GROWTH DR. RANEE JAYAMAHA CHAIRPERSON - HATTON NATIONAL BANK PLC

SECTION - 13: DEVELOPMENT INDICATORS FOR CIRDAP AND SAARC COUNTRIES

Achievements and Challenges

12/21/2015. What does Development Mean? Contemporary Human Geography. Human Development Index. Development. Development implies progress

SECTION - 13: DEVELOPMENT INDICATORS FOR CIRDAP AND SAARC COUNTRIES

Dr. Joseph A. Weinstock Asian Development Bank

Number of smokers and overall smoking prevalence (for age 15+), 2013

ADB s Experiences in Disaster Management. Neil Britton Senior Disaster Risk Management Specialist Asian Development Bank 25 November 2007

The 2015 Social Protection Indicator Results for Asia Sri Wening Handayani ADB Principal Social Development Specialist

Natural Disaster Risk Assessment and. Area Business Continuity Plan Formulation for Industrial Agglomerated Areas in the ASEAN Region.

Global Facility for Disaster Reduction and Recovery. of the Hyogo Framework for Action. Kobe, January 15, 2007

MANAGING DISASTERS AND CONFLICTS

OVERVIEW. Linking disaster risk reduction and climate change adaptation. Disaster reduction - trends Trends in economic impact of disasters

Need for a Closer Look

Climate Change and Natural Disasters: Economic Impacts and Possible Countermeasures

Sendai Cooperation Initiative for Disaster Risk Reduction

Note. Chairman Madam visits Hannover to attend Messe event and SBI Germany s jubilee event

CDP2013/EGM3/4. Considerations by the CDP on the LDC criteria over the years

Development of an Integrated Simulation Model for Flood Risk Evaluation and Damage Assessment

The Lessons of 2017 Perspective from the World Bank Group

Women, Work, and the Economy: Macroeconomic Gains from Gender Equity

Disaster Risk Management in Nepalese Development Plans

Mainstreaming Disaster Risk Reduction in. Project Cycle Management

PRESENTATION ON Fiscal Policy for Development and Budgetary Implications: Experience in Other Parts of Asia

Introduction to Disaster Management

Population. G.1. Economic growth. There was an initial dramatic recovery from the crisis in 2010 due to fiscal stimulus and intraregional trade.

Sri Lanka s National Natural Disaster Insurance Scheme. Sanath C. de Silva CEO - NITF

Ex-Ante Evaluation (for Japanese ODA Loan)

RIS. Policy Brief. Classification of Countries and G-20. The United Nations (UN) Proposal. No. 71 May 2015

Fiscal policy for inclusive growth in Asia

World Meteorological Organization Role of WMO and National Meteorological and Hydrological Services in Disaster Risk Reduction

Climate Change and Mortality

More benefits from preferential trade tariffs for countries most in need: Reform of the EU Generalised System of Preferences

ICT and Risk Governance. Asian Disaster Preparedness Center

The Medium to Long-Term Economic Outlook for Asia

Addressing Loss and Damage with Microinsurance

Preliminary Damage and Loss Assessment

Measuring and Mapping the Welfare Effects of Natural Disasters A Pilot

World Conference on Disaster Reduction January 2005, Kobe, Hyogo, Japan. United Nations

HUMAN GEOGRAPHY. By Brett Lucas

Using Human Development Index to Identify some Determinants of Gender Gap in Southeast Countries in Mr. Yasser Ahmed Helmy

Quantifying Disaster Risk: measuring progress in the path towards resilience

Introduction to International Economics Update to Chapter 20 Growth

Insight on common/key indicators for Global Vulnerability Mapping

Overview of PADR process

EXPERIENCES IN ECONOMIC ASSESSSMET OF DISASTERS IMPACT

Southeast Asia Disaster Risk Insurance Facility

Monitoring of Graduating Countries from the Least Developed Country Category: Equatorial Guinea

Monitoring of Graduated Countries from the Least Developed Country Category: Maldives

MDG 8: Develop a Global Partnership for Development

ADDRESSING THE MACRO-ECONOMIC

17 January 2019 Japan Laurence Boone OECD Chief Economist

Policy Paper. October Piloting a Disaster Response Facility

2a) Identifying and counting disaster occurrences and magnitude

REDUCING DISASTER RISK a challenge for development

Managing Risk-Related Contingent Liabilities in Public Finance Frameworks

Reducing vulnerability to disasters is an integral part of the fight against

United Nations Fourth Conference on Least Developed Countries. ISTANBUL ( 9 13 May 2011)

Unit 4. Mixed Macroeconomic Performance of Nepal TULA RAJ BASYAL * ABSTRACT

Vizualizing ICT Indicators Tiziana Bonapace, Jorge Martinez-Navarrete United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP)

I. Introduction. Source: CIA World Factbook. Population in the World

Comparison in Measuring Effectiveness of Momentum and Contrarian Trading Strategy in Indonesian Stock Exchange

Mainstreaming Disaster Risk Reduction into Development Policy, Planning and Implementation

Macroeconomics II. Growth. Recent phenomenon Great diversity of growth experiences across countries. Why do some countries grow and others not?

Achieving Equity in Health Systems. Implications for developing countries of recent evidence from Asia

Wave 2 of the East Asia Retirement Survey

What is disaster risk? Progression of approaches. It s not that simple! Increasing disaster losses due to temperature rises and climate change?!

The Role of Non-state Actors in Social Cohesion: The ADB SP Plan

Past windstorm occurrence trend, damage and losses in Penang, Malaysia

Evaluation Approach Project Performance Evaluation Report for Loan 2167 and Grant 0006-SRI: Tsunami-Affected Areas Rebuilding Project September 2015

Key Issue 1: Why Does Development Vary Among Countries?

F. Statement at the 50th Annual Meeting of the ADB (Yokohama, Japan / May 6, 2017) May 6, 2017

PURSUING SHARED PROSPERITY IN AN ERA OF TURBULENCE AND HIGH COMMODITY PRICES

Results of the global questionnaire of the Friends of the Chair on broader measures of progress

Sri Lanka s Health Sector

Women, Work, and the Economy: Macroeconomic Gains from Gender Equity

Financing for Sustainable Urbanization

DISASTER RISK FINANCING AND INSURANCE PROGRAM

Norway 11. November 2013

Chapter 2 Earthquakes, an Epidemiological Perspective on Patterns and Trends

Meeting on the Post-2015 Development Agenda for LDCs, LLDCs and SIDS in Asia and the Pacific: Nepal s Perspective

INNOVATIONS AND TRENDS IN FINANCIAL INCLUSION

The Global Risk Analysis for the 2009 Global Assessment Report on Disaster Risk Reduction

Assignment #4.2: The Human Development Index Contemporary World

25 April 2015 Nepal Earthquake Disaster Risk Reduction Situation Report DRR sitrep May 4, 2015

Economic consequences of natural catastrophes: Emerging and developing economies particularly affected Insurance cover is essential

Transcription:

Chapter 2: Natural Disasters and Sustainable Development This Chapter deals with the importance of the link between disaster reduction frameworks and development initiatives, as well as frameworks based on the 2004 disaster trends. As we know, the UN organizations, various international institutions, and governments have placed importance on natural disasters and sustainable development. Hence, it is of paramount importance to analyze disaster trends in relation to variables of sustainable development, mainly human development and economic factors of countries, especially the disaster affected ones. The following sections will discuss these trends using appropriate graphs. 2.1 Human Development and Natural Disasters The Human Development Level of a country refers to the literacy rate and gross school enrolment rate, per capita income, and health quality of that country. These variables are significant to disaster mitigation, preparedness planning, and disaster reduction and management strategies. Higher Human Development Levels will make these planning and management strategies and follow-up activities easier even in post disaster periods. Human Development Levels are categorized as high (Human Development Index; HDI above 0.8), medium (HDI between 0.5 and 0.79) and low (HDI less than 0.5), in accordance with UNDP specifications. In this section, disaster characteristics are subsequently calculated according to these Human Development Levels. Income levels are also categorized as high (per capita income US$ 9,266 and above), upper middle (per capita income US $2,996~US $9,265), lower middle (per capita income US $756~US $2,995) and lower (per capita income less than US $755) according to the World Bank definitions. Disaster characteristics are identified in accordance to these income level specifications. The following figures illustrate these factors at World and Asian regional levels. 21

Figure 12 to 15 indicate the relationship between the Human Development Level of the country and the impact of human suffering due to disasters on society. According to the disaster trends in 2002, it was quite evident that human loss and suffering were considerably higher in countries with low human development (LHD) as the ratio of those killed and affected by disasters to the total population in LHD countries was considerably higher than medium human development (MHD) or high human development (HHD) countries. But in 2003, this trend changed drastically around the World. Due to the unexpected heat wave in the HHD countries in Europe, there were huge human sufferings in those countries in 2003. The 2004 disaster trends once again underline the importance of the disaster reduction in the context of development in the low development countries. Since the human development index is considered for literacy rate, life expectancy, and the per capita income, improvements, these variables could contribute immensely to reducing the impact of natural disasters in a country. Though there was considerable disaster damage in HHD countries, the impact of disasters in terms of human and economic losses in relation to human development levels and income classification were severe in the MHD and LHD countries. Since developing and least developed countries (LDCs) which mostly possess low and medium Human Development Levels in Asia and throughout the world, causing elevated levels of human and economic loss in these countries, severely affect their development initiatives and ability to compete with the global development scenario, thus urging better disaster management approaches in these regions. It is also quite evident from the following figures that the ratio of killed and totally affected people to population is high in the MHD and LHD countries stressing the importance of mainstreaming the disaster reduction issues into national policy. Though the real damage is high in the High Income countries, ratio of damage to the GNI is high in the Low and Middle income countries. 22

Figure 12 Ratio of Number of People Killed to Population (Human Development level) (2004) (World Summary) LHD (96.8%) MHD (96.6%) HHD (100%) 0 0.00001 0.00002 0.00003 0.00004 0.00005 0.00006 Figure 13 Ratio of Number of People Killed to Population (Human Development Level) (2004) (Asia Summary) LHD (99.8%) MHD (97.5%) (100%) HHD 0 0.00001 0.00002 0.00003 0.00004 0.00005 0.00006 0.00007 0.00008 These Figures clearly show that majority of the human loss in the countries with medium level of human development was due to the historic Indian Ocean disaster, in terms of World as well as Asia. 23

Figure 14 Ratio of Number of Totally Affected People to Population (Human Development Level) (2004) (World Summary) LHD MHD HHD 0 0.01 0.02 0.03 0.04 0.05 0.06 Figure 15 Ratio of Number of Totally Affected People to Population (Human Development Level) (2004) (Asia Summary) LHD MHD HHD 0 0.02 0.04 0.06 0.08 0.1 0.12 24

2.2 Gender Issues and Natural Disaster Impact In addition to what we have seen above with respect to overall human development and the impact of natural disasters, it is also of paramount importance to observe the relationship between gender issues and the impact of natural disasters. Here we have observed the trend of Female Human Development Index, which was extracted from the general Human Development Index, in relation to disaster characteristics. Generally it is understood that countries with lower female human development report the most human suffering, as the ratios of totally affected and killed people to the total population is respectively very high in comparison with countries with higher female human development levels. The trend is very similar to the trend in general human development. But in 2004, the ratio of the number of killed and totally affected people to the population was high in the Low and Medium Female Human Development countries due to the earthquake, flood and tsunami disasters that struck many countries in Asia, especially because of the Indian Ocean (Figure 16 & 17). Moreover, the ratio of totally affected people to the population was high in the Low Human Development Countries as shown in the Figures 18 and 19. These figures point out and stress the importance of gender related planning and mitigation strategies and approaches in the field of disaster management, especially in the Low and Medium Female Human Development countries. It is known that gender powerfully shapes human response to disasters, both directly and indirectly. Also, it has been found that women are hit hard by the social impacts of disasters. From these analyses we could say that women should play a major role in post disaster activities if proper integration of gender issues into disaster management is achieved. The fact is that women are always identified as active and resourceful disaster respondents but are often regarded as helpless victims. Since disaster mitigation and risk management activities should be incorporated into development strategy, it is imperative to prevent gender bias and ensure women participation. 25

Figure 16 Ratio of Number of People Killed to Population (Female Human Development Level) (2004) (World Summary) Low Medium (60.5%) (39.5%) (97.1%) High (100%) 0 0.00001 0.00002 0.00003 0.00004 0.00005 0.00006 0.00007 0.00008 Figure 17 Ratio of Number of People Killed to Population (Female Human Development Level) (2004) (Asia Summary) Low (14.9%) (85.1%) Medium (98.1%) High (100%) 0 0.00002 0.00004 0.00006 0.00008 0.0001 0.00012 The above Figures also point out that majority of the human loss was in the countries with low and medium level of female human development due to the historic Indian Ocean disaster, in terms of World, as well as Asia. 26

Figure 18 Ratio of Number of Totally Affected People to Population (Female Human Development Level) (2004) (World Summary) Low Medium High 0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 Figure 19 Ratio of Number of Totally Affected People to Population (Female Human Development Level) (2004) (Asia Summary) Low Medium High 0 0.01 0.02 0.03 0.04 0.05 Source: ADRC, Japan, CRED-EMDAT, Université Catholique de Louvain, Brussels, Belgium and UNDP, 2003 27

2.3 Economies of Natural Disaster Impact In this section, the analysis focuses on the country s income level as related to disaster impact based on the disaster trend in 2004. A country s income level is determined by the per capita GNI of a country and is here analyzed in relation to the disaster characteristics. The following figures (Figures 20-23) show this relationship and it is once again evident that the majority of the human losses and affected people come from low and lower middle income countries. Though this could be attributed to the disaster impact in the low income and least developed Asian countries, this trend is similar to the general phenomenon for the longer period. Generally, though the real economic loss from disasters is higher in high-income countries due to their developed infrastructural framework and the economic establishments that have accumulated social capital, loss from disasters in developing and lower income countries is more substantial when compared to the GNIs of those countries. When human loss and suffering are considered, it is once again visible from the following figures that the lower income and lower middle-income countries suffer greatly. This firmly emphasizes the need for a holistic disaster management approach with due consideration of country s disaster vulnerability, the impact and extent of disaster related damage, and the impact of disaster on the human development and economy. Figures 24 and 25 clearly specify this aspect. The socio-economic impact of disasters varies according to the types of disasters, the disaster period (length), and the post disaster recovery period. A country s income level plays a crucial role in deciding the recovery period of a disaster. In addition, the income level of a country and the magnitude of the socio-economic impact of a disaster are proportionally related to each other, and the ratio of such impact to the country s GNI demonstrates the negative effects of disasters upon low and lower middle income countries. These are the reasons for the shape of Figures 20 to 25 as the human 28

and economic loss in comparison to the population size and income level (GNI) is high in the low income countries and low in the high income countries. The disasters occurred in Indonesia, Sri Lanka, India, Thailand, Myanmar, Bangladesh, and China in Asia and some countries in Africa, immensely contributed to this trend. Especially the disasters occurred in Japan (earthquake, typhoon and flood), and USA (hurricane), Extreme Temperatures in Europe and droughts in Portugal contributed to the heavy damages in the high income countries when compared to their high GNIs. Figure 20-26 portray these trends for the world and the Asian region. Figure 20 Ratio of Number of People Killed to Population (Income Level) (2004) (World Summary) Low Income (93.8%) (90.2%) (6.2%) Lower Middle Income Upper Middle Income (18.1%) (81.9%) (9.8%) High Income (100%) 0 0.00002 0.00004 0.00006 0.00008 0.0001 Source: ADRC, Japan, CRED-EMDAT, Université Catholique de Louvain, Brussels, Belgium and World Bank, 2004 29

Figure 21 Ratio of Number of People Killed to Population (Income Level) (2004) (Asia Summary) Low Income Lower Middle Income (93.6%) (97.8%) (6.4%) (2.2%) Upper Middle Income (63.5%) (36.5%) High Income (100%) 0 0.00004 0.00008 0.00012 Source: ADRC, Japan, CRED-EMDAT, Université Catholique de Louvain, Brussels, Belgium and World Bank, 2004 It is clearly known from above Figures that the majority of the human loss was in the low and lower middle income countries in the World as well as in Asia and these are due to the historic Indian Ocean disaster. Figure 22 Ratio of Number of Totally Affected People to Population (Income Level) (2004) (World Summary) Low Income Lower Middle Income Upper Middle Income High Income 0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 Source: ADRC, Japan, CRED-EMDAT, Université Catholique de Louvain, Brussels, Belgium and World Bank, 2004 30

Figure 23 Ratio of Number of Totally Affected People to Population (Income Class) (2004) (Asia Summary) Low Income Lower Middle Income Upper Middle Income High Income 0 0.01 0.02 0.03 0.04 0.05 Source: ADRC, Japan, CRED-EMDAT, Université Catholique de Louvain, Brussels, Belgium and World Bank, 2004 Figure 24 Ratio of Amount of Damage to GNI (Income Level) (2004) (World Summary) Low Income Lower Middle Income Upper Middle Income High Income 0 0.002 0.004 0.006 0.008 0.01 0.012 0.014 Source: ADRC, Japan, CRED-EMDAT, Université Catholique de Louvain, Brussels, Belgium and World Bank, 2004 31

Figure 25 Ratio of Amount of Damage to GNI (Income Class) (2004) (Asia Summary) Low Income Lower Middle Income Upper Middle Income High Income 0 0.005 0.01 0.015 0.02 0.025 0.03 Source: ADRC, Japan, CRED-EMDAT, Université Catholique de Louvain, Brussels, Belgium and World Bank, 2004 Figure 24 and 25 depict the share of damages amount to the GNI in relation to the income levels of the countries. Accordingly, in the world, it is visible that the share of damage to GNI is high in the lower middle income countries and this is mainly due to earthquakes, and floods in Asia and Africa. But in Asia, this share is high in the upper middle income countries and this is mainly due to earthquakes, typhoons and floods in Japan and extreme temperatures in Korea. It is evident that the extent of damage caused by natural disasters is connected to a country s socio-economic level. As seen in the above figures, disaster management and post disaster activities are crucial to sustainable development based on the 2004 disaster occurrences and trends, as they were in the previous years. It can be said that in 2004, like many previous years, natural disaster impact was closely related to poverty, education, quality of health, gender related issues, and changing policy scenarios in relation to global socio-economic characteristics. Hence, disaster mitigation and management strategies must incorporate these areas into a holistic disaster management approach in line with strategies to ensure sustainable development. 32