Segmentation and Standardization of Income Determination in Developing Nations: An Analysis of Urban-Rural Differences in Income Determinants in Sri Lanka

1995 ◽  
Vol 43 (4) ◽  
pp. 717-734 ◽  
Author(s):  
George E. Gabriel ◽  
Daniel B. Cornfield
Keyword(s):  
Sri Lanka ◽  
Developing Nations ◽  
Urban Rural ◽  
Income Determination ◽  
Income Determinants

scholarly journals Sri Lanka and the Covid 19 Crisis: Strategies and Future Challenges

2020 ◽  
pp. 147-158
Author(s):  
Asantha Senevirathna
Keyword(s):  
Sri Lanka ◽  
Economic Impact ◽  
Global Economy ◽  
Human Life ◽  
Developing Nations ◽  
Sri Lankan ◽  
Recent Past ◽  
Government Response ◽  
The World ◽  
Future Challenges

 COVID-19 pandemic has become a major crisis in 2020. The pandemic has claimed thousands of lives and is spreading a negative economic impact around the global economy. The pandemic has caused a devastating impact on human life in many of the countries without a clear distinction among developed or developing nations. Sri Lanka is facing the heat of the pandemic gradually since January and has taken various measures to combat the situation. The COVID-19 pandemic forwarded a greater challenge to Sri Lanka since the country has faced various disasters in the recent past and question marks remain about the government’s response. The Sri Lankan government response to the current COVID-19 crisis has been largely successful and is ranked among the best responsive countries in the world. This paper discusses Sri Lanka’s strategies in dealing with COVID-19 pandemic and possible future challenges related to the issue.

Determinants of the Behavioural Intentions of Households to Recycle E-Waste in Sri Lanka

2019 ◽  
Vol 9 (8) ◽  
pp. 202-216
Author(s):  
N.P Ravindra Deyshappriya ◽  
M.M.T.D.M Kumari
Keyword(s):  
Sri Lanka ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Waste Recycling ◽  
Behavioural Intentions ◽  
Urban Rural ◽  
Statistical Relationships ◽  
The Impact ◽  
Socio Economic Factors

This study seeks to recognize the determinants of behavioural intentions of households to recycle e-waste (ER = e-waste recycling) in Sri Lanka. Structural equation modelling was applied to analyse the data of 230 households. The measurement model confirmed the appropriateness of the considered constructs and variables to estimate statistical relationships among the recognized variables. The structural model emphasized that factors such as environmental awareness, attitude to recycling, social pressure, and rules and regulations positively affect the behavioural intentions to recycle e-waste while the inconvenience and cost of recycling affect it negatively in Sri Lanka. Apart from that the moderating effect stresses that previous experience in ER reduces the inconvenience of recycling and therefore past experience of ER indirectly increases the perception of ER. This study also highlights that socio-economic factors such as education, age, household size, gender, and income significantly affect the behavioural intentions to recycle e-waste and the impact of these demographic factors varies across the urban, rural, and state sectors.

scholarly journals Factors influencing the use of coconut oil by the householders in Sri Lanka and their policy relevance to popularize the consumption of coconut oil

CORD ◽  
2004 ◽  
Vol 20 (02) ◽  
pp. 34
Author(s):  
T. S. G. Peiris ◽  
M. T. N. Fernando ◽  
S. Samarajeewa
Keyword(s):  
Sri Lanka ◽  
Linear Models ◽  
Coconut Oil ◽  
Edible Oil ◽  
Oil Consumption ◽  
Rapid Urbanization ◽  
Income Groups ◽  
Factors Influencing ◽  
Long Run ◽  
Urban Rural

In recent past the concept on the use of coconut oil (CNO) by the householders in Sri Lanka has been changing due to various reasons.  The reasons were studied using the generalized linear models for the survey conducted during May/June 2001 for 366 householders representing three different population sectors  (urban, rural and estate) and different income groups. The significant factors influencing the use of CNO are the type of oil used in past, monthly income, quality of CNO, misconception about CNO and the population sectors.  The percentage of non-CNO users is considerably higher in the urban sector, whereas CNO still is the major edible oil in the rural and estate population sectors of Sri Lanka. The percentage of householders using CNO in the sample was 91.2.  In 75% of the sample, the quantity of CNO consumption per person has reduced over the last five years.   The main reason for dissatisfaction for CNO is adulteration.  The proportion of CNO use was significantly higher in lower income groups than the higher income groups.  The proportion of the CNO use decreased sharply when the income increases above Rs. 40,000 per month.  The high-income earners have shifted their preferences towards other edible oil consumption. The findings of this study suggest that the growth of the per capita incomes and the rapid urbanization in the country further reduces the consumer demand for coconut oil, unless there are effective marketing strategies implemented to promote the CNO consumption in the long run.  Both the proportion and rate of CNO use can be increased through an effective campaign via media.    Improving the quality and dispelling the misconception among the householders would give better prospects to the coconut oil industry in Sri Lanka.

scholarly journals Landscape Changes and their Impacts on Land Surface Temperature in Tropical Hill Stations in South Asia: A Case Study of Nuwara Eliya, Sri Lanka

2019 ◽  
Author(s):  
Manjula Ranagalage ◽  
Yuji Murayama ◽  
DMSLB Dissanayake ◽  
Matamyo Simwanda
Keyword(s):  
Land Use ◽  
Sri Lanka ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Google Earth ◽  
Rural Zone ◽  
Urban Rural ◽  
The Mean ◽  
Grid Based

Although urbanization has contributed to improving living conditions, it has had negative impacts on the natural environment in the urbanized areas. Urbanization has changed the urban landscape and resulted in increasing land surface temperature (LST). Thus, studies related to LST in various urban environments have become a popular research topic. However, few LST studies focusing on the mountain landscapes (i.e. hill stations) have been carried out. The primary objective of this study is to investigate changes in the landscape and their impacts on LST intensity (LSTI) in the tropical mountain city of Nuwara Eliya, Sri Lanka. The study utilized annual median temperatures extracted from Landsat data collected from 1996 to 2017 based on the Google Earth Engine (GEE) interface. The fractions of built-up (BL), forest (FL), and agricultural (AL) land were calculated using land use and cover maps based on the urban-rural zone (URZ) analysis. The urban-rural margin was demarcated based on the fraction of BL (<10%) and LSTI was measured using the mean LST difference in the urban-rural zone. In addition, the mixture of land use types was calculated using the AL/FL and BL/FL fraction ratios, and grid-based density analysis. The result shows that the BL in all URZ rapidly developed, while AL decreased during the period 1996 to 2017. There was minimal change in the forest area of the Nuwara Eliya owing to the government forest preservation policies. The fraction of the BL increased from 32.4% in 1996 to 58.7% in 2017 in the city center zone (URZ1) resulting in increased mean LST by 4.7 °C. Furthermore, the increase of the BL/FL fraction ratio and the decrease of the AL/FL fraction ratio were positively correlated with the mean LST. Grid-based analysis showed an increasing positive relationship between mean LST and density of BL. This indicated that BL density has been a crucial element in increasing LST in the study area. The results of this study will be a useful indicator to introduce improved landscape and urban planning in the future to minimize the negative impact of LST on urban sustainability.

scholarly journals Modeling the Measurements of the Determinants of ICT Fluency and Evolution of Digital Divide Among Students in Developing Countries—East Africa Case Study

2020 ◽  
Vol 10 (7) ◽  
pp. 2613 ◽  
Author(s):  
Jean-Pierre Niyigena ◽  
Qingshan Jiang ◽  
Djemel Ziou ◽  
Ruey-Shiang Shaw ◽  
A S M Touhidul Hasan
Keyword(s):  
Developing Countries ◽  
Digital Divide ◽  
Developed Countries ◽  
Developing Nations ◽  
First Year ◽  
East African ◽  
Urban Rural ◽  
Information And Communication ◽  
Ict Training ◽  
One Year

During the last decade, information and communication technology has brought remarkable changes to the education style of developed countries, especially in the context of online learning materials accessibility. However, in developing nations such as the East African (EA) countries, university students may lack the necessary ICT training to take advantage of e-learning resources productively. Therefore, the comprehension of the key factors behind ICT fluency is a significant concern for this region and all the developing countries in general. This paper applies the Concentration Index and proposes a Logistic Regression based model to discover the key determinants of ICT fluency and to explore the evolution of the digital divide among EA students within the four years of undergraduate studies. To identify the principal determinants, data composing of 1237 participants is collected from three different universities in EA within a one year period. The experimental results indicate that the digital divide among students decreases quite fast from the first year to the fourth year. Regression computational findings show that the key determinants of ICT fluency are the student urban/rural origin, computer ownership, computer experience, class year, and major. The findings provide heuristic implications for developers, practitioners, and policy makers for an improved ICT environment implementation in EA and the developing nations in general.

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