Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nirash Paija"'
Publikováno v:
The Handbook of Energy Policy ISBN: 9789811967771
The Handbook of Energy Policy ISBN: 9789811696800
The Handbook of Energy Policy ISBN: 9789811696800
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::351bd6538b7cf01235893fb56b8efe97
https://doi.org/10.1007/978-981-19-6778-8_33
https://doi.org/10.1007/978-981-19-6778-8_33
Publikováno v:
Environment, Development and Sustainability. 24:666-682
The supply of electric power plays a crucial role in industrial production, and the current scarcity of electricity prevailing in the industries necessitates willingness of industries to pay higher price for energy supply. This paper explores willing
Autor:
Nirash Paija, Niranjan Devkota, PhD
Publikováno v:
Asian Journal of Agriculture and Development. 17:63-78
This study assesses the long-run relationship and short-run dynamics between paddy yields and climate variables, particularly maximum and minimum temperature and rainfall, using time-series data from 1971 to 2014 in Nepal. Applying Autoregressive-Dis
Autor:
Alex O. Acheampong, Andrew Adewale Alola, Uju Violet Alola, Erkan Alsu, Rafael Alvarado, Mary Amponsah, Shakila Aziz, Eugenio Baita-Saavedra, Suborna Barua, Faik Bilgili, Elliot Boateng, Kaycea Campbell, Laura Castro-Santos, David Cordal-Iglesias, Anupam Das, Mehmet Akif Destek, Almudena Filgueira-Vizoso, Pelin Gençoğlu, Akram Shavkatovich Hasanov, Aarushi Jain, Abhinav Jindal, Cengizhan Karaca, Abiral Khatri, Sevda Kuşkaya, Patrícia Hipólito Leal, António Cardoso Marques, Adian McFarlane, Walid Mensi, Muhammad Shujaat Mubarik, Yusuf Muratoglu, Navaz Naghavi, Cristian Ortiz, Yessengali Oskenbayev, Burcu Ozcan, Nirash Paija, Agnieszka Parlinska, Pablo Ponce, Devran Sanli, Nida Shah, Muhammad Shahbaz, Arshian Sharif, Mehmet Songur, Mehmet Temiz, Fatma Ünlü, Yılmaz Toktaş, Elisa Toledo, Ali Gokhan Yucel, Ali Syed Raza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f8278666405785df2552e2dac1a9155
https://doi.org/10.1016/b978-0-12-824440-1.01002-x
https://doi.org/10.1016/b978-0-12-824440-1.01002-x
Autor:
Nirash Paija, Rabindra Nepal
Publikováno v:
Journal of Economic Integration. 35:111-128
This study explores the causality relationships between money demand, real income, price, and interest rate by focusing on South Asia for the period...
Autor:
Nirash Paija, Rabindra Nepal
Publikováno v:
Energy Policy. 132:771-781
Economic growth and increasing population is driving the demand for energy in developing economies globally including South Asia. Energy security concerns have heightened in these economies, consequently, raising questions in their ability to meet th
Autor:
Rabindra Nepal, Nirash Paija
Publikováno v:
Economic Modelling. 77:164-173
Mountain economies will have to play a central role in attaining the global pursuit of green economic growth as crucial bearers of ecosystems goods and services. However, these economies are not adequately represented in the development policy debate
Publikováno v:
Economics, Law, and Institutions in Asia Pacific ISBN: 9789811635984
Economics, Law, and Institutions in Asia Pacific, 151-171
STARTPAGE=151;ENDPAGE=171;TITLE=Economics, Law, and Institutions in Asia Pacific
Economics, Law, and Institutions in Asia Pacific, 151-171
STARTPAGE=151;ENDPAGE=171;TITLE=Economics, Law, and Institutions in Asia Pacific
This study investigates the impact of foreign direct investment on industrial energy intensity by incorporating economic growth, energy prices, industrial value-added, and carbon emissions in the South Asian countries for the period 1990–2018. We e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9efa54108d27758a51ff29d9ac500c4
https://doi.org/10.1007/978-981-16-3599-1_7
https://doi.org/10.1007/978-981-16-3599-1_7
Autor:
Nirash Paija, Rabindra Nepal
Publikováno v:
SSRN Electronic Journal.
This study examines the inter relationships between energy consumption, output and carbon emissions in a mountainous economy using an augmented Vector Autoregression model. Time-series data over the period 1975-2013 is studied applying a multivariate