Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Athula Naranpanawa"'
Autor:
Gabriel Paes Herrera, Michel Constantino, Benjamin Miranda Tabak, Hemerson Pistori, Jen-Je Su, Athula Naranpanawa
Publikováno v:
Data in Brief, Vol 25, Iss , Pp - (2019)
This article contains the data related to the research article “Long-term forecast of energy commodities price using machine learning” (Herrera et al., 2019). The datasets contain monthly prices of six main energy commodities covering a large per
Externí odkaz:
https://doaj.org/article/160ac130681b4db7b18482a563fca517
Publikováno v:
Journal of Hospitality and Tourism Management. 55:131-138
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3aa020771b0f59de6bdc99ecdb2dad8
https://doi.org/10.1016/j.jhtm.2023.03.013
https://doi.org/10.1016/j.jhtm.2023.03.013
Publikováno v:
Tourism Analysis. 28:107-124
Tourism is an important socioeconomic sector for many countries worldwide. The perishable nature of this industry requires highly accurate forecasts to support decision-makers with their strategies and planning. This study explores the relationship b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::313cb950b1b56747621f10ed4efbce78
https://doi.org/10.3727/108354222x16578978994073
https://doi.org/10.3727/108354222x16578978994073
Autor:
Athula Naranpanawa, Sudarshan Chalise
Publikováno v:
Journal of the Asia Pacific Economy. :1-20
The main theme of this paper is to investigate the socio-economic impacts of climate change and adaptation; by comparing the losses with and without land reallocation for major staple foods as a key strategy of climate change adaptation in the farmin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9be8e5dcad9eb92045c20bbe270cb11c
https://doi.org/10.1080/13547860.2021.1982194
https://doi.org/10.1080/13547860.2021.1982194
Publikováno v:
Economic Analysis and Policy. 70:365-379
Financial inclusion (FI) is increasingly becoming a global policy priority because it enables access to financial services, such as savings, payments, risk management, and credit, to households and firms with a wide range of needs. However, to the be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85719b0537441e8d8f99bc95cd73d044
https://doi.org/10.1016/j.eap.2021.03.008
https://doi.org/10.1016/j.eap.2021.03.008
Publikováno v:
Tourism Economics. 28:1647-1668
Assessment of the economy-wide impacts of tourism has increased importance due to the unprecedented impacts of COVID-19. Computable general equilibrium (CGE) approach is a versatile tool for estimating the economy-wide impacts of tourism, as opposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1f5418e49702861a8b6165b5e9b1edc
https://doi.org/10.1177/13548166211006988
https://doi.org/10.1177/13548166211006988
Publikováno v:
The European Journal of Development Research. 33:1840-1876
The impact of fiscal policy variables on economic growth and income inequality is estimated with data from a balanced panel of 19 high-income OECD countries for 1995–2015. A simultaneous equations model is estimated to test four hypotheses that lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e65a7c150b8e3b7ab43298926089e131
https://doi.org/10.1057/s41287-020-00322-8
https://doi.org/10.1057/s41287-020-00322-8
Publikováno v:
Journal of Policy Modeling. 42:250-270
This paper examines the impact of three fiscal policy shocks on per capita real GDP and income inequality in Australia during the period 1965–2014. A small structural vector autoregressive (SVAR) model is constructed for an open economy for contemp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcf0cdd9abcadc18114ddc4d2db3d95c
https://doi.org/10.1016/j.jpolmod.2019.06.007
https://doi.org/10.1016/j.jpolmod.2019.06.007
Publikováno v:
Energy Economics. 114:106285
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b07ccd10a51fefafc7c2db539952eaba
https://doi.org/10.1016/j.eneco.2022.106285
https://doi.org/10.1016/j.eneco.2022.106285
Autor:
Benjamin Miranda Tabak, Jen-Je Su, Hemerson Pistori, Michel Constantino, Gabriel Paes Herrera, Athula Naranpanawa
Publikováno v:
Energy. 179:214-221
We compare the long-horizon forecast performance of traditional econometric models with machine learning methods (Neural Networks and Random Forests) for the main energy commodities in the world using monthly prices provided by the International Mone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d929b7e448298dee7c6cbf76c0a073de
https://doi.org/10.1016/j.energy.2019.04.077
https://doi.org/10.1016/j.energy.2019.04.077