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  1. AU="Jayatilleke, S"
  2. AU="Dalal, Jamshed J"
  3. AU="Lashley, Maudry-Beverley"
  4. AU="Jeffers, Scott"
  5. AU="Durairaj, Janani"
  6. AU="Shu, Yixiong"
  7. AU="Prieto, Franklin"
  8. AU="Attwood, Matthew J"
  9. AU=Andellini Martina
  10. AU=Ilfeld Brian M
  11. AU="Manuel de Villena, Fernando Pardo"
  12. AU=Anand B S
  13. AU="Pandeya, Sarbesh R"
  14. AU="Parra Viviane M."
  15. AU="Anetsberger, Daniel"
  16. AU="Novizio, Nunzia"
  17. AU="Elizabeth Sweeney"
  18. AU="Carrigan, M"
  19. AU="Majid T Noghani"
  20. AU="Hanh, Bui Thi Bich"
  21. AU="Hyun Chul Song"
  22. AU="Cottraux, Jean"
  23. AU=Mauro Michael J
  24. AU="Labate, Demetrio"
  25. AU=Ahmad S

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  1. Artikel ; 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  Band 306, Seite(n) 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-Begriff(e) Air Pollution/adverse effects ; Australia/epidemiology ; Fires ; Humans ; Smoke/analysis
    Chemische Substanzen Smoke
    Sprache Englisch
    Erscheinungsdatum 2022-06-23
    Erscheinungsland England
    Dokumenttyp 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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  2. Artikel ; Online: The intergenerational effects of socioeconomic inequality on unhealthy bodyweight.

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

    Health economics

    2021  Band 30, Heft 4, Seite(n) 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-Begriff(e) Adult ; Australia/epidemiology ; Health Behavior ; Humans ; Overweight/epidemiology ; Sex Factors ; Social Class ; Socioeconomic Factors
    Sprache Englisch
    Erscheinungsdatum 2021-01-13
    Erscheinungsland England
    Dokumenttyp 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
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel: 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  Band 44, Heft 12, Seite(n) 1710–1726

    Verfasserangabe Athula Naranpanawa and Jayatilleke Bandara
    Schlagwörter Sri Lanka ; South Asia ; Computable general equilibrium model ; Post-war reconstruction ; Regional disparities ; Trade liberalization
    Sprache Englisch
    Verlag Emerald Group
    Erscheinungsort Bingley
    Dokumenttyp Artikel
    ZDB-ID 188656-3 ; 2014271-7
    ISSN 0306-8293
    ISSN 0306-8293
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  4. Artikel ; 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  Band 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 ...
    Schlagwörter SAM ; India ; Household category ; Value added ; Agriculture ; Poverty ; Economic growth ; development ; planning ; HD72-88 ; Economics as a science ; HB71-74
    Thema/Rubrik (Code) 338
    Sprache Englisch
    Erscheinungsdatum 2017-06-01T00:00:00Z
    Verlag SpringerOpen
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel: 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  Band 38, Heft 9, Seite(n) 1438–1461

    Verfasserangabe Jayatilleke S. Bandara and Athula Naranpanawa
    Schlagwörter Handelsabkommen ; Handelspräferenzen ; Wirkungsanalyse ; Sri Lanka ; EU-Staaten ; Bekleidungsindustrie
    Sprache Englisch
    Umfang graph. Darst.
    Verlag Wiley-Blackwell
    Erscheinungsort Oxford
    Dokumenttyp Artikel
    ZDB-ID 132896-7 ; 1473825-9
    ISSN 1467-9701 ; 0378-5920
    ISSN (online) 1467-9701
    ISSN 0378-5920
    Datenquelle ECONomics Information System

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  6. Artikel ; 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 ...
    Schlagwörter ddc:330 ; SAM ; India ; Household category ; Value added ; Agriculture ; Poverty ; Income inequality ; Inclusive growth
    Thema/Rubrik (Code) 338
    Sprache Englisch
    Verlag Heidelberg: Springer
    Erscheinungsland de
    Dokumenttyp Artikel ; Online
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  7. Artikel ; 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  Band 6, Heft 14, Seite(n) 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 ...

    Verfasserangabe 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.
    Schlagwörter SAM ; India ; Household category ; Value added ; Agriculture ; Poverty ; Income inequality ; Inclusive growth
    Sprache Englisch
    Umfang Online-Ressource
    Verlag SpringerOpen
    Erscheinungsort Heidelberg
    Dokumenttyp Artikel ; Online
    ZDB-ID 2679924-8
    ISSN 2193-2409
    ISSN 2193-2409
    DOI 10.1186/s40008-017-0074-y
    Datenquelle ECONomics Information System

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  8. Artikel ; 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  Band 44, Heft 4, Seite(n) 451–465

    Verfasserangabe Jayatilleke S. Bandara, Yiyong Cai
    Schlagwörter Climate change ; Food security ; Computable general equilibrium
    Sprache Englisch
    Umfang Online-Ressource
    Verlag Elsevier$h1970-
    Erscheinungsort Amsterdam [u.a.]
    Dokumenttyp Artikel ; Online
    ZDB-ID 2439247-9
    DOI 10.1016/j.eap.2014.09.005
    Datenquelle ECONomics Information System

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  9. Artikel ; 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.
    Schlagwörter ddc:330 ; forecasting ; tourism demand ; Sri Lanka ; SARIMA ; time series models
    Thema/Rubrik (Code) 910
    Sprache Englisch
    Verlag Abingdon: Taylor & Francis
    Erscheinungsland de
    Dokumenttyp Artikel ; Online
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  10. Artikel: 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.
    Schlagwörter climate change ; climate models ; climatic factors ; computer software ; econometric models ; food prices ; food production ; food security ; issues and policy ; South Asia
    Sprache Englisch
    Erscheinungsverlauf 2016-01
    Umfang p. 459-497.
    Erscheinungsort Elsevier Ltd
    Dokumenttyp Artikel
    ISSN 1364-8152
    DOI 10.1016/j.envsoft.2015.10.024
    Datenquelle NAL Katalog (AGRICOLA)

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