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Título : | Determinants in the forecast of the gross national income of China and India from 1952 to 2015 |
Autor : | Colmenares, Angel Yan, Xu Wang, Weiguo |
Palabras clave : | AutoRegressive Distributed Lag Gross National Income Stepwise Ridge Lasso Elastic net |
Fecha de publicación : | 1-Sep-2021 |
Editorial : | Journal of Management Science and Engineering |
Citación : | A. Colmenares, X. Yan andW.Wang, Determinants in the forecast of the gross national income of China and India from 1952 to 2015, Journal of Management Science and Engineering, https://doi.org/10.1016/j.jmse.2021.06.001 |
Resumen : | In 2015, China and India's population represented approximately 35.74% of the total
number of people living in the world. Due to the historical context and behavior of the
most relevant indicators, this study proposes to utilize a wide variety of demographic,
economic, and production indicators from 1952 to 2015 to assess their impact on the GNI
in China and India. A comprehensive and new fangled modeling process with stepwise,
regularization and distributed lag regression approaches is presented. Accordingly, theoretical
results were corroborated through extensive diagnostic tests and an empirical check
of the models' predictive capacity. The findings show that GNI in China is most influenced
by variables such as reserves in foreign currency and the dependency ratio; whereas,
variables of energy production and birth rate were generated for India. Therefore, it's the
timing for China to relax the universal two-child policy. Due to the current value below the
substitution rate, a gloomy outlook for China's future population and economy is predicted.
Conversely, a positive outlook is forecasted for India, given the low price in the
future of oil- India's primary raw material. |
URI : | http://hdl.handle.net/10872/23399 |
ISSN : | 2589-5532 |
Aparece en las colecciones: | Artículos Publicados
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