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  1. Article ; Online: Air pollution and health outcomes: Evidence from Black Saturday Bushfires in Australia.

    Balasooriya, Namal N / Bandara, Jayatilleke S / Rohde, Nicholas

    Social science & medicine (1982)

    2022  Volume 306, Page(s) 115165

    Abstract: This paper presents new evidence of the causal effect of air pollution on Australian health outcomes, using the Black Saturday bushfires (BSB) in 2009 as a natural experiment. This event was one of the largest bushfires in Australian history and emitted ... ...

    Abstract This paper presents new evidence of the causal effect of air pollution on Australian health outcomes, using the Black Saturday bushfires (BSB) in 2009 as a natural experiment. This event was one of the largest bushfires in Australian history and emitted approximately four million tonnes of CO
    MeSH term(s) Air Pollution/adverse effects ; Australia/epidemiology ; Fires ; Humans ; Smoke/analysis
    Chemical Substances Smoke
    Language English
    Publishing date 2022-06-23
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 4766-1
    ISSN 1873-5347 ; 0037-7856 ; 0277-9536
    ISSN (online) 1873-5347
    ISSN 0037-7856 ; 0277-9536
    DOI 10.1016/j.socscimed.2022.115165
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    Zs.A 625: Show issues Location:
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  2. Article ; Online: The intergenerational effects of socioeconomic inequality on unhealthy bodyweight.

    Balasooriya, Namal N / Bandara, Jayatilleke S / Rohde, Nicholas

    Health economics

    2021  Volume 30, Issue 4, Page(s) 729–747

    Abstract: We study the effects of inherited socioeconomic characteristics on markers of unhealthy bodyweight. Taking Australian microdata from 2007 to 2013, we show that approximately 4% of the variation in outcomes is determined by factors beyond an individual's ... ...

    Abstract We study the effects of inherited socioeconomic characteristics on markers of unhealthy bodyweight. Taking Australian microdata from 2007 to 2013, we show that approximately 4% of the variation in outcomes is determined by factors beyond an individual's control, such as their race, gender, and social class. Paternal socioeconomic status is the primary explanatory factor, with those born to more affluent fathers slightly less likely to be overweight in adulthood. Decompositions reveal that only 20%-25% of this effect is attributable to advantaged families exhibiting better health behaviors, which implies that unobserved factors also play an important role. Since diseases associated with unhealthy weight place a major strain on public healthcare systems, our results have implications for the provision of treatment when resources are constrained.
    MeSH term(s) Adult ; Australia/epidemiology ; Health Behavior ; Humans ; Overweight/epidemiology ; Sex Factors ; Social Class ; Socioeconomic Factors
    Language English
    Publishing date 2021-01-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1135838-5
    ISSN 1099-1050 ; 1057-9230
    ISSN (online) 1099-1050
    ISSN 1057-9230
    DOI 10.1002/hec.4216
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    Zs.A 3555: Show issues Location:
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  3. Article: Can trade liberalisation bring benefits to the war-affected regions and create economic stability in post-war Sri Lanka?

    Naranpanawa, Athula / Bandara, Jayatilleke S

    International journal of social economics Vol. 44, No. 12 , p. 1710-1726

    2017  Volume 44, Issue 12, Page(s) 1710–1726

    Author's details Athula Naranpanawa and Jayatilleke Bandara
    Keywords Sri Lanka ; South Asia ; Computable general equilibrium model ; Post-war reconstruction ; Regional disparities ; Trade liberalization
    Language English
    Publisher Emerald Group
    Publishing place Bingley
    Document type Article
    ZDB-ID 188656-3 ; 2014271-7
    ISSN 0306-8293
    ISSN 0306-8293
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  4. Article ; Online: Value-added disaggregated social accounting matrix for the Indian economy of the year 2007–2008

    Barun Deb Pal / Jayatilleke S. Bandarlage

    Journal of Economic Structures, Vol 6, Iss 1, Pp 1-

    2017  Volume 20

    Abstract: Abstract India is pioneer in constructing the social account matrices for its economy for various years, but limited efforts have been made to construct a SAM for India with detailed description about types labour input employed in various economic ... ...

    Abstract Abstract India is pioneer in constructing the social account matrices for its economy for various years, but limited efforts have been made to construct a SAM for India with detailed description about types labour input employed in various economic activities and subsequently the distribution of labour income across various households groups. To bridge this gap, we have constructed a 78-sector SAM for India which takes into account 48 types of labour input for economic activities and 80 types of households classes in India. Integrating the existing input–output database of the year 2007–2008, a 78-sector SAM of the year 2007–2008 and unit-level data published by National Sample Survey Office of India. This SAM differs from the existing 78-sector SAM in terms of its sectoral classification and especially the level of disaggregation of value-added and households account. Further, in this study we have illustrated some applicability of this SAM in analysing income inequality across various social groups of households in India and their contribution to the national income of India. It is observed from this SAM that the rural other social category of households constituted 17% of total population in India and contributed 13% of its net national income, whereas the special social category households of rural areas (SC, ST and OBC) contributed significantly lower in India’s NNP than their share in population. Hence, these categories of households in rural India remain unproductive than the other social category of households. Contrary to this fact, the urban counterparts of these social groups of households are more productive in India. We have also estimated the Gini coefficients corresponding to each social group of households as a measure of level of income inequality. Further, the SAM multiplier model has been applied to observe the impact of agricultural growth on rural income and income equality. The estimated Gini coefficients revealed the facts that the growth in paddy crops will lead to high increase with low ...
    Keywords SAM ; India ; Household category ; Value added ; Agriculture ; Poverty ; Economic growth ; development ; planning ; HD72-88 ; Economics as a science ; HB71-74
    Subject code 338
    Language English
    Publishing date 2017-06-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Garment industry in Sri Lanka and the removal of GSP plus by EU

    Bandara, Jayatilleke S / Naranpanawa, Athula

    The world economy : the leading journal on international economic relations Vol. 38, No. 9 , p. 1438-1461

    2015  Volume 38, Issue 9, Page(s) 1438–1461

    Author's details Jayatilleke S. Bandara and Athula Naranpanawa
    Keywords Handelsabkommen ; Handelspräferenzen ; Wirkungsanalyse ; Sri Lanka ; EU-Staaten ; Bekleidungsindustrie
    Language English
    Size graph. Darst.
    Publisher Wiley-Blackwell
    Publishing place Oxford
    Document type Article
    ZDB-ID 132896-7 ; 1473825-9
    ISSN 1467-9701 ; 0378-5920
    ISSN (online) 1467-9701
    ISSN 0378-5920
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  6. Article ; Online: Value-added disaggregated social accounting matrix for the Indian economy of the year 2007-2008

    Pal, Barun Deb / Bandarlage, Jayatilleke S.

    2017  

    Abstract: India is pioneer in constructing the social account matrices for its economy for various years, but limited efforts have been made to construct a SAM for India with detailed description about types labour input employed in various economic activities and ...

    Abstract India is pioneer in constructing the social account matrices for its economy for various years, but limited efforts have been made to construct a SAM for India with detailed description about types labour input employed in various economic activities and subsequently the distribution of labour income across various households groups. To bridge this gap, we have constructed a 78-sector SAM for India which takes into account 48 types of labour input for economic activities and 80 types of households classes in India. Integrating the existing input-output database of the year 2007-2008, a 78-sector SAM of the year 2007-2008 and unit-level data published by National Sample Survey Office of India. This SAM differs from the existing 78-sector SAM in terms of its sectoral classification and especially the level of disaggregation of value-added and households account. Further, in this study we have illustrated some applicability of this SAM in analysing income inequality across various social groups of households in India and their contribution to the national income of India. It is observed from this SAM that the rural other social category of households constituted 17% of total population in India and contributed 13% of its net national income, whereas the special social category households of rural areas (SC, ST and OBC) contributed significantly lower in India's NNP than their share in population. Hence, these categories of households in rural India remain unproductive than the other social category of households. Contrary to this fact, the urban counterparts of these social groups of households are more productive in India. We have also estimated the Gini coefficients corresponding to each social group of households as a measure of level of income inequality. Further, the SAM multiplier model has been applied to observe the impact of agricultural growth on rural income and income equality. The estimated Gini coefficients revealed the facts that the growth in paddy crops will lead to high increase with low income ...
    Keywords ddc:330 ; SAM ; India ; Household category ; Value added ; Agriculture ; Poverty ; Income inequality ; Inclusive growth
    Subject code 338
    Language English
    Publisher Heidelberg: Springer
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Value-added disaggregated social accounting matrix for the Indian economy of the year 2007-2008

    Pal, Barun Deb / Bandarlage, Jayatilleke S

    Journal of economic structures : JES; the official journal of the Pan-Pacific Association of Input-Output Studies (PAPAIOS) Vol. 6, No. 14 , p. 1-20

    2017  Volume 6, Issue 14, Page(s) 1–20

    Abstract: India is pioneer in constructing the social account matrices for its economy for various years, but limited efforts have been made to construct a SAM for India with detailed description about types labour input employed in various economic activities and ...

    Author's details Barun Deb Pal and Jayatilleke S. Bandarlage
    Abstract India is pioneer in constructing the social account matrices for its economy for various years, but limited efforts have been made to construct a SAM for India with detailed description about types labour input employed in various economic activities and subsequently the distribution of labour income across various households groups. To bridge this gap, we have constructed a 78-sector SAM for India which takes into account 48 types of labour input for economic activities and 80 types of households classes in India. Integrating the existing input–output database of the year 2007-2008, a 78-sector SAM of the year 2007–2008 and unit-level data published by National Sample Survey Office of India. This SAM differs from the existing 78-sector SAM in terms of its sectoral classification and especially the level of disaggregation of value-added and households account. Further, in this study we have illustrated some applicability of this SAM in analysing income inequality across various social groups of households in India and their contribution to the national income of India. It is observed from this SAM that the rural other social category of households constituted 17% of total population in India and contributed 13% of its net national income, whereas the special social category households of rural areas (SC, ST and OBC) contributed significantly lower in India’s NNP than their share in population. Hence, these categories of households in rural India remain unproductive than the other social category of households. Contrary to this fact, the urban counterparts of these social groups of households are more productive in India. We have also estimated the Gini coefficients corresponding to each social group of households as a measure of level of income inequality. Further, the SAM multiplier model has been applied to observe the impact of agricultural growth on rural income and income equality. The estimated Gini coefficients revealed the facts that the growth in paddy crops will lead to high increase with low income inequality among the SC and ST households, whereas for the OBC and other category households the same phenomena is observed corresponding to livestock sector.
    Keywords SAM ; India ; Household category ; Value added ; Agriculture ; Poverty ; Income inequality ; Inclusive growth
    Language English
    Size Online-Ressource
    Publisher SpringerOpen
    Publishing place Heidelberg
    Document type Article ; Online
    ZDB-ID 2679924-8
    ISSN 2193-2409
    ISSN 2193-2409
    DOI 10.1186/s40008-017-0074-y
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  8. Article ; Online: The impact of climate change on food crop productivity, food prices and food security in South Asia

    Bandara, Jayatilleke S / Cai, Yiyong

    Economic analysis and policy : EAP ; journal of the Economic Society of Australia Vol. 44, No. 4 , p. 451-465

    2014  Volume 44, Issue 4, Page(s) 451–465

    Author's details Jayatilleke S. Bandara, Yiyong Cai
    Keywords Climate change ; Food security ; Computable general equilibrium
    Language English
    Size Online-Ressource
    Publisher Elsevier$h1970-
    Publishing place Amsterdam [u.a.]
    Document type Article ; Online
    ZDB-ID 2439247-9
    DOI 10.1016/j.eap.2014.09.005
    Database ECONomics Information System

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  9. Article ; Online: Forecasting international tourist arrivals in formulating tourism strategies and planning

    Thushara, S. C. / Su, Jen-je / Bandara, Jayatilleke S.

    The case of Sri Lanka

    2019  

    Abstract: In some developing countries, tourism-led growth strategy has been used to accelerate growth, generate employment opportunities and increase foreign exchange earnings. To maximise benefits from the tourism industry, appropriate policy decisions, ... ...

    Abstract In some developing countries, tourism-led growth strategy has been used to accelerate growth, generate employment opportunities and increase foreign exchange earnings. To maximise benefits from the tourism industry, appropriate policy decisions, infrastructure development and conducive business environments need to be developed. For that, accurate forecasting of international arrivals is vital. Tourism has been identified, as a driving force of post-war economic development in Sri Lanka. The main purpose of this study is to develop accurate forecasting models for total international arrivals in Sri Lanka and its top 10 source countries using SARIMA method. Monthly data from January 1984 to December 2016 were used as the training sample and data from January 2017 to December 2017 were used to evaluate the accuracy of the selected models. Results demonstrate that (a) achieving Sri Lankan Government's forecast of four million tourist arrivals by 2020 is highly unlikely, (b) accurate forecasting is necessary for tourism strategies and planning, and (c) the SARIMA method provides accurate forecasts in the presence of seasonality. Finally, the findings in this study will be useful for government agencies and private establishments in the industry in their policymaking, designing promotional campaigns, and planning infrastructure.
    Keywords ddc:330 ; forecasting ; tourism demand ; Sri Lanka ; SARIMA ; time series models
    Subject code 910
    Language English
    Publisher Abingdon: Taylor & Francis
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: A framework for integrated assessment of food production economics in South Asia under climate change

    Cai, Yiyong / David Newth / Jayatilleke S. Bandara

    Environmental modelling & software. 2016 Jan., v. 75

    2016  

    Abstract: Agriculture is a sector vulnerable to climate change. The potential decline of crop yields from this vulnerability has important policy implications for food security in South Asia. In this study an integrated assessment modelling framework is proposed ... ...

    Abstract Agriculture is a sector vulnerable to climate change. The potential decline of crop yields from this vulnerability has important policy implications for food security in South Asia. In this study an integrated assessment modelling framework is proposed to link a global economic model with global climate models via an econometric model of crop productivity. It is then used to examine the impact of climate change on food security in individual South Asian countries by exploring the interaction between climate-induced productivity change and changes in food production and food prices. The results of our simulations suggest that unfavourable climate change can reduce food production significantly from the historical trend and create upward pressure on food prices. This, in turn, will have serious adverse impacts on food security in the South Asian region.
    Keywords climate change ; climate models ; climatic factors ; computer software ; econometric models ; food prices ; food production ; food security ; issues and policy ; South Asia
    Language English
    Dates of publication 2016-01
    Size p. 459-497.
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 1364-8152
    DOI 10.1016/j.envsoft.2015.10.024
    Database NAL-Catalogue (AGRICOLA)

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