Determinants of Poverty Among Households in Monaragala District, Sri Lanka

Total Page:16

File Type:pdf, Size:1020Kb

Determinants of Poverty Among Households in Monaragala District, Sri Lanka © JAN 2019 | IRE Journals | Volume 2 Issue 7 | ISSN: 2456-8880 Determinants of Poverty Among Households in Monaragala District, Sri Lanka MALLIKA APPUHAMILAGE KUMUDINI SRIYALATHA Business Economics, University of Sri Jayewardenepura, Sri Lanka Abstract -- This study examines the determinants of poverty that the global poor are belongs to rural, young, low among households in Madulla division, Moneragala level of education, majority engaged in the agricultural District, Sri Lanka. In order to identify the relationship sector, larger household size and more dependent between demographic, economic and socio-characteristics especially higher number of children. Further, the and poverty among households in Madulla Division, a report highlighted that 80 percent of the poor regression analysis is used. Further, this study examines the income distribution among household by using micro- population live in rural areas; 64 percent employed in level income data. The regression analysis clearly indicates agricultural sector; 44 percent are 14 years or younger; that, variables such as dependency ratio and size of the 39 percent do not have formal education. households significantly and positively affect the poverty level. We also find that income level of the household and As mentioned in the report of ‘Poverty and the world number of employed person of the household significantly of work: the Global Monitoring Report (2015/16) the and negatively affect poverty level. Also, educational level rate of extreme poverty (measured from 2008) as and nature of earning have positive impact but not living on less than $1.25 per day in 2005 reached 10 significant. percent in 2015, compared with 30 per cent in 1990. The declining trend in extreme poverty was especially Index Terms- Gini coefficient, income distribution, poverty noticeable in developing countries. The rate was determinants, Sri Lanka declined from 47 percent in 1990 to 14 percent in 2015 (Global Monitoring Report (2015/16)). Accordingly, I. INTRODUCTION in this report, extreme poverty is defined as living on a household per capita income of less than $1.90 PPP Poverty mitigation is a key policy consideration in per day. Another definition which moderate poverty is recent development literature. Large numbers of is defined as living on between $1.90 PPP and $3.10 scholars in the field of development economics have PPP per capita per day. The emerging and developing claimed that the battle against poverty is an important countries have shared about 15 percent extreme requirement for economic growth (Emwanu et al. poverty level in the year of 2012 and the regional (1995)). According to global economic prospects poverty level also has been changing in globally. This (2018) indicates that the world made significant is because of uneven progress which is happening in progress in the poverty reduction from 35 percent to the world. In Sub-Saharan Africa have the largest 10.7 percent of the population in 2013. At the same poverty headcount ratio (41 percent) and the largest time 60 out of 83 countries in the world, the income of number of poor households (389 million) in 2013. This the poorest 40 percent has raised from 2008 to 2013 figure is higher than all other regions in the world (see with the global financial crisis. Global Monitoring Table 01). This is a remarkable change with respect to Report (2015/16) predicted that global poverty rate 1990, when half of the poor were living in East Asia may have reduced up to 9.6 percent (700 million) of and Pacific region. global population in 2015. Further it says that for the first time in the history, the global extreme poverty has Considering the poverty levels across the regions, reached to single digit number. In 2015 the absolute without developed countries, reports that progresses in international poverty line was set at $1.90 per day. Asia and the Pacific region have been outstanding. For This is based on the monetary value of a person’s example, the share of people in extreme poverty level consumption expenditure or income level per day. has declined by 46 percentage points between 1990 Poverty and Shared Prosperity Report (2016) showed and 2012. The extreme poverty level in 2012 was IRE 1700897 ICONIC RESEARCH AND ENGINEERING JOURNALS 64 © JAN 2019 | IRE Journals | Volume 2 Issue 7 | ISSN: 2456-8880 about 12.2 percent (Global Monitoring Report, region. The extremely poor were around 1.8 percent of 2015/2016) the population in 2013. Even though the extremely poverty is low, 45 percent of the population belongs to Table 01: World and Regional Poverty Estimates, less than $5 per day in 2013 in Sri Lanka. 2013 In 2016, the year of the latest comprehensive data on Region Headcount Povert Poor Share of poverty in Sri Lanka, poverty headcount index was 4.1 Ratio % y Gap (million) global percent and it was fell from 6.7 percent in 2012/13. % poor by Out of 20 million population 843,913 people were region (%) belonging to poverty in 2016. East Asia 3.5 0.7 71.0 9.3 and Pacific Table 02: Poverty head count index, number of poor Eastern 2.3 0.6 10.8 1.4 population and contribution to total poverty by sector Europe and in 2016 Central Asia Latin 5.4 2.6 33.6 4.4 America Sector Poverty Number of Contribution and the head count poor to total Caribbean index populations poverty Middle East - - - - (number) (%) and North (%) Africa Sri 4.1 843,913 100.0 South Asia 15.1 2.8 256.2 33.4 Lanka Sub- 41.0 15.9 388.7 50.7 Urban 1.9 67,649 8.0 Saharan Africa Rural 4.3 693,956 82.2 Total six 12.6 3.8 766.6 Estate 8.8 82,308 9.8 regions World 10.7 3.2 766.6 Source: Department of Census and Statistics, Sri Lanka, 2016 Source : World Bank, Washington, DC Note: Poverty is measured using the US$1.90-a-day Although poverty has fallen to a greater extent at 2011 purchasing power parity (PPP) poverty line. The national level during the last few decades, poverty six-region total includes all developing regions. World inequalities still exists across the provinces as well as includes all developing regions, plus industrialized districts. Table 02 shows that in general the poverty countries. headcount index in the estate sector is higher than the other sectors of the country. Majority household in this According to Sri Lanka’s official national poverty sector are belongs to poor and near- poor. Many of line, a person is identified as being poor in the 2012/13 them are young, Hindu Tamils, working in tea estates Housing Income and Expenditure Survey (HIES) if his and living in free housing units. In recent years, the or her real per capita consumption expenditure falls estate sector poverty rates have declined from 28 below Rs. 3,624 per month, which is equivalent to percent to about 10 percent in 2009/2010 and about $1.50 in 2005 purchasing power parity term. 2012/2013. This consumption threshold is based on Sri Lanka’s official poverty line developed by Department of Looking at the poverty movements across district level Census and Statistics (DCS) and the World Bank using shows substantial decline in the national poverty level data from the 2002 HIES (The Spatial Distribution of from 22.7 percent to 6.1 percent in 2002 and 2012/13 Poverty in Sri Lanka, DCS, 2015, p.05). respectively. Even though, national poverty level has declined sharply in recent years, there can be seen Looking at poverty level in Sri Lanka has among the large variations among districts. In terms of absolute lowest extreme poverty rates among countries in the as well as relative poverty level, the largest decline in IRE 1700897 ICONIC RESEARCH AND ENGINEERING JOURNALS 65 © JAN 2019 | IRE Journals | Volume 2 Issue 7 | ISSN: 2456-8880 poverty was seen in Hambantota and Puttalam Figure 01 show those nine provinces in Sri Lanka and districts. In contrast, the smallest decline in terms of number of poor population by province. It is clear that relative poverty has recorded in Galle and Moneragala Uva province has recorded the highest poverty level in districts, while the smallest decline in terms of 2012/13. Uva province has two districts namely absolute level was found in Colombo and Gampaha Badulla and Moneragala. Table 04 presents poverty districts. Still Moneragala and Badulla in Uva level of Moneragala district in accordance with DS. province have represented high poverty levels (see There are eleven DS in Moneragala district. Table 03). Therefore, Western province which Syambalanduwa DS has reported the highest poverty includes three districts such as Colombo, Kaluthara level while Sewanagala has recorded the lowest and Gampaha remain the least poor; while Moneragala poverty level. has recorded still high poverty rate. Figure 01 Number of Poor People by Province Table 03 Poverty headcount index by selected district- 2012/13 2002, 2012/13 200000 District HIES 2002 HIES 150000 % 2012/13 % 100000 Sri Lanka 22.7 6.7 50000 Hambantota 32.0 4.9 0 Moneragala 37.0 20.8 Badulla 37.0 12.3 Puttalam 31.0 5.1 Source: Department of Census and Statistics, HIES, 2015 Kegalle 32.0 6.7 Table 04 Poverty level in Moneragala District by Ratnapura 34.0 10.4 Divisional Secretariat in 2011 Matale 30.0 7.8 Divisional Poverty Divisional Poverty Secretariat Headcount Secretariat Headcount Gampaha 11.0 2.1 Ratio (%) Ratio (%) Siyambalanduwa 51.8 Bibila 26 Colombo 6.0 1.4 Madulla 40.7 Wellawaya 24.9 Galle 26.0 9.9 Thanamalwila 35.8 Buttala 21.2 Source: Department of Census and Statistics, 2015 Medagama 30.2 Katharagama 19.8 According to HIES in 2012/13, it reveals that for a large part of the country, the poverty level is less than Moneragala 29.3 Sewanagala 19.3 15 percent.
Recommended publications
  • Drought Sri Lanka
    Project Report the Plan: Life-saving support to drought- affected children and their families by providing clean drinking water and food Where SRI LANKA What EMERGENCY RESPONSE Impact Increased access to safe water, provided essential food packages and raised awareness on good hygiene and sanitation practices during emergencies for 54,749 people, including 22,368 children. Your contribution has made a huge difference to the lives of children in Sri Lanka. Registered charity no: 276035 Emergency support for drought-affected children and families in Sri Lanka Ampara, Anuradhapura and Monaragala districts, Sri Lanka Final report Project summary Below average rainfall between March and November 2014 Sri Lanka: The Facts resulted in over 6 months of severe drought across certain areas of Sri Lanka; and in particular in the typically dry zones of the country, including the districts of Ampara, Anuradhapura and Monaragala. Initial assessments indicated that over 50,000 people across the three districts had been severely affected by the drought. Many families were living without clean drinking water and without reliable sources of food due to crop failure. Plan Sri Lanka developed a rapid and coordinated response taking into consideration the most urgent needs identified, gaps in provision from other humanitarian agencies and our expertise and potential reach in the affected areas. Plan’s two month response prioritised improving health by increasing access to safe water, providing essential Population: 21 million food packages and raising awareness on good hygiene and sanitation practices during emergencies. Infant Mortality: 17/1000 Life expectancy: 75 Through this emergency response, Plan has provided immediate and vital support to 54,749 people (27,795 Below the poverty line: 7% female), including 22,368 children.
    [Show full text]
  • ICRC Sri Lanka COVID-19 Response: 2020
    ANNUAL ROUND-UP 2020 ICRC SRI LANKA COVID-19 RESPONSE MESSAGE FROM THE REGIONAL DIRECTOR In a year marked by the COVID-19 pandemic and its dire consequences for health care, economies and the well-being of populations around the world, I would like to share with you the contribution that the International Committee of the Red Cross (ICRC) teams made in several critically affected countries in Asia and the Pacific during 2020. The efforts were aimed at supporting communities and the authorities in trying to prevent, control and manage the effects of COVID-19 on the most vulnerable. Though we have stepped into 2021, the pandemic is far from over. With the second and third waves striking many nations across the world, countries continue to rely on restrictive measures and lockdowns to mitigate the effects of the pandemic. As I write this, more than two million people have lost their lives to COVID-19 worldwide and the confirmed cases have surpassed 97 million. Of these, 14.5 million confirmed cases and more than 228,000 deaths have been reported from Asia and the Pacific. At the same time, there is a glimmer of hope in the vaccination campaigns that have unrolled in many countries. We are advocating to ensure that people affected by conflict and violence, who might otherwise be forced to the back of the queue, have an equitable access to the vaccine. Similarly, other marginalized communities like the internally displaced people, migrants, asylum seekers and detainees must be taken along in this journey towards immunization. The ICRC, together with our National Red Cross and Red Crescent Society partners, is ready to support national vaccination campaigns and facilitate access to the COVID-19 vaccine for those in difficult-to-reach vulnerable and marginalised populations in countries affected by armed conflict and violence.
    [Show full text]
  • Sri Lanka for the Clean Energy and Access Improvement Project
    Sustainable Power Sector Support Project (RRP SRI 39415) Detailed Description of Project Components A. Transmission system strengthening 1. This component will contribute to a reliable, adequate and affordable power supply for sustainable economic growth and poverty reduction in Eastern, North Central, Southern and Uva provinces. The strengthened transmission system will alleviate existing sub- standard voltage conditions in Ampara district of the Eastern Province and provide increased load capacity in the Eastern, North Central, Southern and Uva provinces leading to improved efficiency and reliability in power supply. The component includes the following sub-projects: (i) New Galle Power Transmission Development: Construction of New Galle 3 x 31.5 megavolt ampere (MVA) 132/33 kilovolt (kV) grid substation and Ambalangoda-to- New Galle 40 kilometers (km) double circuit 132 kV transmission line: T1a: New 3 x 31.5 MVA 132/33 kV New Galle Grid Substation Construction of a new grid substation at Galle comprising: 132 kV double busbar switchyard with: o 4 feeder bays o 1 static VAR compensator bay +10 megavolt ampere reactive (MVAr) to - 20 MVAr for voltage support o 3 transformer bays o 1 bus-coupler bay o 3 x 31.5 MVA transformers 33 kV switchyard with: o 3 transformer bays o 2 bus-section bays o 10 feeder bays o 2 generator bays o 6 capacitor bays with total of 30 MVA capacitors for loss reduction Control room and all associated communications, protection and control. This substation is located adjacent to the existing Galle 132/33 kV substation, which is old and cannot be extended further.
    [Show full text]
  • Emergency Appeal Sri Lanka Drought Msedits
    Emergency appeal Sri Lanka: Drought Emergency appeal n° MDRLK004 GLIDE n° DR-2012-000177-LKA 2 November 2012 This Emergency Appeal seeks CHF 1,070,504 in cash, kind, or services to support the Sri Lanka Red Cross Society (SLRCS) to assist 20,000 drought affected families (some 125,000 people) for 18 months. The operation will be completed by 28 April 2014. A Final Report will be made available by 28 July 2014. CHF 145,336 was allocated from the International Federation of Red Cross and Red Crescent (IFRC) Disaster Relief Emergency Fund (DREF) to support this operation. Unearmarked funds to replenish DREF are encouraged. Based on the situation, this Emergency Appeal responds to a request from SLRCS, Safe drinking water is a critical need for many drought affected and focuses on providing early recovery families in Sri Lanka. Photo: SLRCS. and longer-term food security assistance to the most drought affected families and complements the relief assistance provided by the Government of Sri Lanka. <click here to view the attached Emergency Appeal budget; here to link to a map of the affected area; or here to view contact details> Summary According to the Government of Sri Lanka, drought is affecting an estimated 1.8 million people in Sri Lanka. Since December 2011, for the second consecutive season, rainfall has been scanty. Many of the water reservoirs as a result have dried up and people living in the worst hit remote rural areas do not have access to safe drinking water. Their condition is becoming critical. Since July 2012, the Government of Sri Lanka and other actors, including SLRCS, have been trucking in water to affected communities.
    [Show full text]
  • Royal College School Development Society Has Undoubtedly Achieved the Level of Expectation of Every Stakeholder in College
    Royal College Annual Report and Accounts 2012 Cover Story The Elephant is a magnificent creature portraying courage, grandeur and majesty. The palm tree symbolizes strength, versatility and rigidity. The concept of the mighty elephant beneath the steady palm tree clearly brings out the true nature of this institution reflecting eloquence and perfection; rare qualities Royal College always boasts of. Just as nothing stands in the way of a great elephant, no challenges succeed in standing in the way of Royal College. We make our steps down a glorious journey through time; we not only shine out as stars but also emit our light to all others, just as the palm tree provides endless benefits to all. Annual Report and Accounts 2012 Contents Ground Plan 1 Vision and Mission 2 Values 3 Goals 4 Objectives 5 Report of the Principal 6 The College 11 History 12 Principals - Foreign Principals 18 Sri Lankan Principals 19 College Song 20 College Flag & Colours 21 Motto 22 Crest 23 House System 24 Rules & Regulations (as stated in the Student Record Book) 25 College Uniform 34 Action Plan 38 Academic Staff 47 Organizational Structure 48 Management Committee 57 Subject coordinators 59 Sub Committees 61 Statistics 65 Student Population 66 Examination Results Analysis 75 G.C.E. Advanced Level Examination Results Analysis 76 Comparison of Advanced Level Results 2011/2012 96 G.C.E. Ordinary Level Examination Results Analysis 102 National and International Achievements 117 Academic Achievements 120 National Achievements 122 International Representation 131
    [Show full text]
  • Spatial Variability of Rainfall Trends in Sri Lanka from 1989 to 2019 As an Indication of Climate Change
    International Journal of Geo-Information Article Spatial Variability of Rainfall Trends in Sri Lanka from 1989 to 2019 as an Indication of Climate Change Niranga Alahacoon 1,2,* and Mahesh Edirisinghe 1 1 Department of Physics, University of Colombo, Colombo 00300, Sri Lanka; [email protected] 2 International Water Management Institute (IWMI), 127, Sunil Mawatha, Pelawatte, Colombo 10120, Sri Lanka * Correspondence: [email protected] Abstract: Analysis of long-term rainfall trends provides a wealth of information on effective crop planning and water resource management, and a better understanding of climate variability over time. This study reveals the spatial variability of rainfall trends in Sri Lanka from 1989 to 2019 as an indication of climate change. The exclusivity of the study is the use of rainfall data that provide spatial variability instead of the traditional location-based approach. Henceforth, daily rainfall data available at Climate Hazards Group InfraRed Precipitation corrected with stations (CHIRPS) data were used for this study. The geographic information system (GIS) is used to perform spatial data analysis on both vector and raster data. Sen’s slope estimator and the Mann–Kendall (M–K) test are used to investigate the trends in annual and seasonal rainfall throughout all districts and climatic zones of Sri Lanka. The most important thing reflected in this study is that there has been a significant increase in annual rainfall from 1989 to 2019 in all climatic zones (wet, dry, intermediate, and Semi-arid) of Sri Lanka. The maximum increase is recorded in the wet zone and the minimum increase is in the semi-arid zone.
    [Show full text]
  • Final Report Outcome
    FINAL REPORT OUTCOME EVALUATION OF THE COUNTRY PROGRAMME (2013 – 2017) OF UNDP SRI LANKA Submitted by: Multi Sector Development Solutions (Pvt): Ltd April 2017 0 Table of Contents 1. Executive Summary: ............................................................................................................................................. 3 2. Background to the Program: ................................................................................................................................ 6 3. Introduction to the Evaluation: ............................................................................................................................ 7 4. Evaluation Methodology: ..................................................................................................................................... 8 5. Analysis and Findings of the Evaluation: ............................................................................................................ 18 6. Conclusion and Recommendations: ................................................................................................................... 51 Annexures: Annexure 01 – Results Framework .............................................................................................................................. 56 Annexure 02 – Types of data collection methods focusing on different levels of stakeholders with specific questions ... 60 Annexure 03 – Terms of Reference ............................................................................................................................
    [Show full text]
  • Initial Environmental Examination SRI: Second Integrated Road
    Second Integrated Road Investment Program (RRP SRI 50301-001) Initial Environmental Examination June 2017 SRI: Second Integrated Road Investment Program Uva Province Prepared by Road Development Authority, Ministry of Higher Education and Highways for the Government of Sri Lanka and the Asian Development Bank. CURRENCY EQUIVALENTS (as of 30 May 2017) Currency unit – Sri Lanka Rupee (SLRl} SLR1.00 = $ 0.00655 $1.00 = Rs 152.63 LIST OF ABBREVIATIONS ABC - Aggregate Base Course AC - Asphalt Concrete ADB - Asian Development Bank BIQ - Basic Information Questionnaire CBO - Community Based Organizations CEA - Central Environmental Authority CW - Carriage Way DCS - Department of Census and Statistics DoF - Department of Forest DOI - Department of Irrigation DSD - Divisional Secretary Divisions DWC - Department of Wildlife Conservation EC - Environmental Checklist EIA - Environmental Impact Assessment EMP - Environmental Management Plan EPL - Environmental Protection License ESDD - Environmental and Social Development Division GDP - Gross Domestic Product GEF - Global Environment Facility GND - Grama Niladhari Divisions GoSL - Government of Sri Lanka GRC - Grievance Redress Committee GRM - Grievance Redress Mechanism GSMB - Geological Survey and Mines Bureau IEE - Initial Environmental Examination iRoad - Integrated Road Investment Program iRoad 2 - Second Integrated Road Investment Program LA - Local Authority LAA - Land Acquisition Act MC - Municipal Council NAAQS - National Ambient Air Quality Standards NBRO - National Building Research Organization
    [Show full text]
  • Locating the Poor: Spatially Disaggregated Poverty Maps for Sri Lanka
    Research Report 96 Locating the Poor: Spatially Disaggregated Poverty Maps for Sri Lanka Upali A. Amarasinghe, Madar Samad and Markandu Anputhas International Water Management Institute P O Box 2075, Colombo, Sri Lanka i IWMI receives its principal funding from 58 governments, private foundations, and international and regional organizations known as the Consultative Group on International Agricultural Research (CGIAR). Support is also given by the Governments of Ghana, Pakistan, South Africa, Sri Lanka and Thailand. The authors: Upali A. Amarasinghe, Madar Samad, and Markandu Anputhas are Senior Researcher, Principal Researcher, and Research Officer, respectively, of the International Water Management Institute, Colombo, Sri Lanka. This study, as part of the joint initiative of poverty mapping by FAO, UNEP and CGIAR, was supported by the Government of Norway. The authors appreciate the valuable comments of both Dr. Norbert Henninger of WRI and Dr. Hugh Turral of IWMI; the support extended by various staff members of the Census and Statistics Department and the Samurdhi Authority of Sri Lanka for data collection; and the staff of the IWMI Remote Sensing/GIS unit for various software inputs of the Geographic Information System. Amarasinghe, U. A.; Samad, M.; Anputhas, M. 2005. Locating the poor: Spatially disaggregated poverty maps for Sri Lanka. Research Report 96. Colombo, Sri Lanka: International Water Management Institute. /poverty / mapping / analysis / estimation / households / employment / irrigation programs / rain / water availability / Sri Lanka/ ISSN 1026-0862 ISBN 92-9090-617-0 Copyright © 2005, by IWMI. All rights reserved. Cover map shows the spatial variation of the percentage of poor households below the poverty line across Divisional Secretariat divisions in Sri Lanka except those in the Northern and Eastern provinces.
    [Show full text]
  • Forecasting Homicides, Rapes and Counterfeiting Currency: a Case Study in Sri Lanka
    Biometrics & Biostatistics International Journal Research Article Open Access Forecasting homicides, rapes and counterfeiting currency: A case study in Sri Lanka Abstract Volume 9 Issue 6 - 2020 Crimes have been disturbing threats to all the Sri Lankans all over the country. Finding the Chathura B. Wickrama1, Ruwan D. main variables associated with crimes are very vital for policymakers. Our main goal in 2 2 this study is to forecast of homicides, rapes and counterfeiting currency from 2013 to 2020 Nawarathna , Lakshika S. Nawarathna 1Postgraduate Institute of Science, University of Peradeniya, Sri using auto-regressive conditional Poisson (ACP) and auto-regressive integrated moving Lanka average (ARIMA) models. All the predictions are made assuming that the prevailing 2Department of Statistics and Computer Science, University of conditions in the country affecting crime rates remain unchanged during the period. Peradeniya, Sri Lanka Moreover, multiple linear regression and Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis were used to identify the key variables associated with crimes. Correspondence: Lakshika S. Nawarathna, Department of Profiling of districts as safe or unsafe was performed based on the overall total crime rate Statistics and Computer Science, University of Peradeniya, Sri of Sri Lanka which is to compare with individual district’s crime rates. Data were collected Lanka, Tel +940767552223, Email from the Department of Police and Department of Census and Statistics, Sri Lanka. It is observed that there are 14 safe and 11 unsafe districts in Sri Lanka. Moreover, it is found Received: November 03, 2020 | Published: December 31, that the total migrant population and percentage of urban population is positively correlated 2020 with total crime.
    [Show full text]
  • Muslim Relationship with Sinhalese in the History of Monaragala (Wellassa) District, Sri Lanka
    Historical Research Letter www.iiste.org ISSN 2224-3178 (Paper) ISSN 2225-0964 (Online) Vol.28, 2016 Muslim Relationship with Sinhalese in the History of Monaragala (Wellassa) District, Sri Lanka Ahamed Sarjoon Razick Doctoral Candidate, The National University of Malaysia (UKM), Lecturer, South Eastern University of Sri Lanka Prof. Dr. Khaidzir Hj. Ismail The National University of Malaysia (UKM) Atham Bawa Mohamed Aliyar Senior Lecturer, Dept. of Arabic Studies, South Eastern University of Sri Lanka Mohamed Haniffa Mohamed Nairoos Senior Lecturer, South Eastern University of Sri Lanka Abstract The Monaragala District, which named as Wellasaa by its ancient residents, is one of 22 electoral districts of Sri Lanka. Monaragala is located in South Eastern part of Sri Lanka and it is one which of two districts located in Uva Province, with 5639 2 KM terrain extension. In Monaragala, Sinhalese are the dominant group which comprises 94.5% of the total population, Tamils 3.3% and the Muslims 2.17%. Monaragala is a predominantly Buddhist district. However, the other religions such as Islam, Hinduism and Christianity are also being practiced. The members of all communities lived in peace and harmony with social integration with one another. The main objective of this paper is to explore the Muslim relationship with the Sinhalese through the history of Monaragala district. In order to carry out this research there has been used the folktales and utterances prevailed among the native public and also used published and unpublished sources. Keywords: History, Monaragala Distrcit, Wellassa, Relationship, Sinhalese, Muslims. 1. Introduction The Monaragala District, which called as Wellasaa by its ancient residents, is one of 22 electoral districts of Sri Lanka, located in South Eastern part of Sri Lanka.It is one which of two districts located in Uva Province and it has a terrain extension of 5639 Sq KM.
    [Show full text]
  • Strategic Outcomes of and Future Outlook for Data-Based Disaster Management: a Case Study in Sri Lanka
    ISSN 2773-6857 Volume I Issue I (2021) pp.27-48 ASIAN JOURNAL OF MANAGEMENT STUDIES Journal homepage: https://www.sab.ac.lk/ajms/ Faculty of Management Studies Sabaragamuwa University of Sri Lanka Strategic Outcomes of and Future Outlook for Data-based Disaster Management: A Case Study in Sri Lanka Rathnayake Mudiyanselage Wasantha Rathnayake Department of Tourism Management, Faculty of Management Studies, Sabaragamuwa University of Sri Lanka, Belihuloya, Sri Lanka ABSTRACT The preparation and implementation of Disaster Management Plans and the National Emergency Plans are enabled by data collection, data storing and data sharing. The required data can be specified as environment- and disaster-related data relevant to the Sendai Framework and Rio Conventions. A case study was carried out in the district of Badulla, which has recorded the highest number of disaster events in Sri Lanka, in order to explore the gaps in data and information management, with the ultimate objective of ensuring a disaster-minimised district. The study revealed that there are shortcomings in data collection, data storage and data sharing, which are important for fulfilling the requirements of four pillars of disaster management, i.e., mitigation–minimising the effects of © Faculty of Management Studies disaster, preparedness–planning on how to respond, Sabaragamuwa response–efforts to minimise hazards created by a University of Sri Lanka disaster; and recovery–returning the community to normal. ARTICLE INFO Article history: Received: 05 November 2020 Keywords: Data Management, Disaster Management Accepted: 02 January 2021 Published: 09 February 2021 Plans, Environment-related Data, Inter-agency Coordination, Rio Conventions, Sendai Framework E-mail Address: [email protected] 27 Asian Journal of Management Studies Volume I Issue I INTRODUCTION Sri Lanka has experienced a variety of both natural and human-induced disasters that have had a disastrous impact on human wellbeing as well as the economic welfare of the country.
    [Show full text]